Since templateXValue[17] , the household price of templateTitle[0] in templateTitleSubject[0] has seen little change , templatePositiveTrend from templateYValue[last] templateYLabel[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] to templateYValue[0] templateYLabel[0] templateYLabel[1] in the first semester of templateXValue[0] . Looking at the figures , it can be seen that on average templateTitle[1] were cheaper in the second half of each templateXLabel[0] . A noticeable exception was in the second half of templateXValue[13] , when templateTitle[1] templatePositiveTrend by 1.11 templateYLabel[0] templateYLabel[1] compared the first half of the templateXLabel[0] .
The templateTitle[1] rate in templateTitleSubject[0] has been oscillating throughout recent years . In templateXValue[max] , templateYValue[min] templateScale of the Argentine templateYLabel[1] were living on less than templateTitle[4] templateTitle[5] templateTitle[6] templateTitle[7] templateTitle[8] , down from templateYValue[max] templateScale of the templateYLabel[1] in 2005.In nominal terms , household income templateTitle[7] capita in templateTitleSubject[0] has shown a significant improvement in templateXValue[idxmin(Y)] .
The statistic above presents the results of a survey among American adults regarding the templateTitle[0] of templateTitle[1] they templateTitle[2] within the last templateLabel[0][0] . In templateLabel[3][0] , templateValue[1][min] templateScale of respondents stated that they templateTitle[2] more than templateValue[1][0] templateTitle[1] in the past templateLabel[0][0] . Book purchasing in the templateTitle[5] – additional information A survey in 2013 asked its respondents to rate the most important features in printed templateTitle[1] which attracted them to buy .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] 10,000 templateYLabel[4] working in templateTitle[2] templateTitle[4] in Europe in templateTitleDate[0] . In templateTitleDate[0] , templateYValue[max] templateYLabel[1] templateYLabel[2] were templateXValue[0] and templateXValue[2] .
A survey conducted in templateTitleDate[0] reveals that the largest groups of Italian templateYLabel[1] cheated on templateTitle[5] templateXValue[5] either templateTitle[1] a templateXValue[0] or templateTitle[1] a templateXValue[1] . In templateXValue[2] , templateYValue[max] templateScale of interviewees in Italy stated that they betrayed templateTitle[5] templateXValue[5] templateTitle[1] a templateXValue[0] , while templateYValue[1] templateScale did so templateTitle[1] a templateXValue[1] . However , it was common to templateTitle[4] templateTitle[1] strangers as well .
This statistic shows the degree of templateTitle[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . templateTitle[0] means the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateYLabel[3] templateYLabel[2] of a country . In templateXValue[max] , templateYValue[idxmax(X)] templateScale of templateTitleSubject[0] 's templateYLabel[3] templateYLabel[2] lived in templateYLabel[1] areas and cities .
This statistic shows the results of a survey on the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in templateTitleSubject[0] in templateTitleDate[0] . During the survey , templateYValue[max] templateScale of templateYLabel[1] stated that they used templateXValue[0] or templateXValue[0] .
In templateXValue[max] , e-books accounted for templateYValue[idxmax(X)] templateScale of all book sales in the templateTitle[3] , three templateScale less than in the previous templateXLabel[0] . This is due to templateYLabel[0] unit sales templateNegativeTrend from 180 templateScale in templateXValue[min] to 162 templateScale in templateXValue[max] templateXValue[idxmin(Y)] In the latter templateXLabel[0] , the top-selling templateYLabel[0] was 'The Handmaid 's Tale ' by Margaret Atwood , a novel which has seen become a highly popular and successful TV series .
This statistic depicts the templateTitle[0] templateTitle[1] templateTitleSubject[0] templateTitle[3] templateYLabel[0] of templateTitle[5] templateTitle[6] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitle[0] templateTitleSubject[0] templateTitle[3] templateYLabel[0] of templateYLabel[1] templateTitle[6] amounted to about templateYValue[idxmax(X)] templateYLabel[1] templateYLabel[2] .
The statistic shows templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) denotes the aggregate value of all services and goods produced within a country in any given templateXLabel[0] . templateTitle[3] is an important indicator of a country 's economic power .
This statistic shows the templateTitle[0] of templateTitleSubject[0] from templateValue[0][last] to templateValue[0][0] , templateTitle[4] templateTitle[5] groups . In templateValue[0][0] , the largest templateTitle[5] groups were the templateValue[5][max] to 24 templateLabel[0][0] olds , and the 45 to 69 templateLabel[0][0] olds , with roughly templateValue[1][0] and templateValue[4][max] templateScale .
This graph depicts the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] templateTitle[3] of the National Football League from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] came to templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] . The templateTitleSubject[0] templateTitle[3] are owned by the McCaskey family , who bought the templateYLabel[0] for 200 templateScale templateYLabel[3] templateYLabel[4] in templateXValue[15] .
This statistic shows the templateTitle[2] templateTitle[4] in the templateTitle[3] in templateTitleDate[0] , as ranked templateTitle[5] templateTitleSubject[0] . The top ranked templateValue[0][0] for that year was templateValue[0][0] in templateValue[0][3] . Students are expected to pay templateTitle[6] costs of templateValue[1][0] templateTitle[3] templateLabel[1][3] annually .
This statistic gives information on the templateYLabel[3] templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , about templateYValue[idxmax(X)] templateScale of the Peruvian population accessed the templateYLabel[3] , up from nearly templateYValue[1] templateScale a templateXLabel[0] earlier .
The statistic displays the results of a survey on the proportion of people within different templateTitle[8] groups who gamble templateTitle[1] on a monthly basis in the templateTitleSubject[0] ( UK ) from templateTitleDate[min] to templateTitleDate[max] . As of 2018 , it was found that templateValue[3][max] templateScale of respondents between the templateTitle[8] of 25 and 34 years stated that they took part in a form of templateTitle[1] templateTitle[2] in the past four weeks . This templateTitle[8] templateTitle[9] had the highest proportion of people who gamble templateTitle[1] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] of templateTitle[4] in templateTitleSubject[0] in templateTitleDate[min] and templateTitleDate[max] . In the first templateLabel[0][0] of templateTitleDate[max] , the templateTitle[1] templateTitle[2] templateTitle[3] for templateTitle[4] in templateTitleSubject[0] in the country was templateValue[2][max] U.S. dollars . Accommodation in templateTitleSubject[0] - additional information The templateTitle[1] templateTitle[2] templateTitle[3] of templateTitle[4] in templateTitleSubject[0] appears to be much higher in the fourth templateLabel[0][0] of the year , reaching templateValue[1][max] U.S. dollars in templateTitleDate[min] .
This statistic shows the templateYLabel[0] of refugees admitted to the templateTitleSubject[0] from the fiscal templateXLabel[0] of templateTitleDate[min] to the fiscal templateXLabel[0] of templateTitleDate[max] . During the fiscal templateXLabel[0] of templateTitleDate[max] , templateYValue[0] refugees were admitted to the templateTitle[2] .
The statistic shows the templateYLabel[0] of health and fitness templateYLabel[1] in templateTitleSubject[0] American in templateTitleDate[0] , by templateXLabel[0] . In templateXValue[0] , templateYValue[max] fitness and health templateYLabel[1] were in operation in templateTitleDate[0] .
This statistic shows the total amount of templateTitle[2] mined in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , some templateYValue[idxmin(X)] thousand templateYLabel[2] templateYLabel[3] of templateTitle[2] were produced across the country . Since then , this figure templatePositiveTrend to some templateYValue[idxmax(X)] thousand in templateXValue[idxmax(Y)] .
A survey of online users in the templateTitle[5] revealed that templateYValue[max] templateScale of templateYLabel[1] felt that templateXValue[0] and messaging apps were among the three types of apps that they templateTitle[1] the most templateTitleSubject[0] on . During the third quarter templateTitleDate[0] survey , templateYValue[6] templateScale of templateYLabel[1] stated the same about gaming apps .
The statistic shows the templateXLabel[0] templateTitle[1] programs with the most templateYLabel[1] in the templateTitleSubject[0] templateTitle[1] templateYLabel[0] ( Madness , Big Dance ) . The templateTitle[1] team of templateXValue[3] has participated templateYValue[2] times in the templateYLabel[0] up to templateTitleDate[max] .
The statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] to the templateTitle[3] templateTitle[4] templateTitle[5] ( templateYLabel[3] ) in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] amounted to about templateYValue[6] templateScale of the templateTitle[3] templateTitle[4] templateTitle[5] .
This statistic shows templateTitleSubject[0] 's monthly templateTitle[1] traffic based upon templateTitle[0] visitor numbers . As of 2017 , templateTitleSubject[0] had templateYValue[max] templateScale templateTitle[0] templateYLabel[1] from the templateTitle[1] across its app and web presence . The social photo sharing website managed to garner great attention by templatePositiveTrend more than 11 templateScale US templateYLabel[1] in 2012 .
The statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] to templateTitle[3] templateTitle[4] templateTitle[5] ( templateYLabel[3] ) in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] amounted to about templateYValue[6] templateScale of the country 's templateTitle[3] templateTitle[4] templateTitle[5] .
In templateTitleDate[0] , it appears that the majority of French teenagers were in middle school when they had templateTitle[5] templateTitle[6] templateTitle[7] . Love appears to be an important area of life at a templateTitle[1] templateTitle[4] , with more than 50 templateScale of templateTitle[1] French templateTitle[2] stating that love relationships were important for them . templateTitle[6] love experiences Even though new technologies and smartphones may have changed the way teenagers live templateTitle[5] love life , it seems that the templateTitle[4] for templateTitle[6] love and sex experiences has templateXValue[last] really changed templateXValue[5] the templateXValue[0] .
templateYValue[max] templateScale people used the templateYLabel[0] templateTitle[0] in templateTitleSubject[0] during templateXValue[max] templateXValue[idxmax(Y)] to the United Kingdom 's ( UK ) Office for National Statistics ( ONS ) , breaking the record set in templateXValue[3] . There were templateYValue[3] templateScale templateTitle[0] templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] during templateXValue[3] , the first time the amount had exceeded 40 templateScale . templateYLabel[0] access in the UK While the vast majority of households in the UK are able to go online , one in ten households was without an templateYLabel[0] connection as of templateXValue[1] , according to the ONS .
Between 2014 and 2019 , the lowest templateYLabel[0] of templateTitle[0] raindays occurred in 2014 , when just templateYValue[18] templateYLabel[1] recorded 1mm or more of templateTitle[2] . The highest templateYLabel[0] of raindays was recorded in of the same year , at templateYValue[max] . Fourth quarter the wettest The wettest periods of the year tend to be the start and the end .
This statistic shows the templateTitle[0] templateTitle[1] in templateTitleSubject[0] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , about templateValue[1][min] templateScale of templateTitleSubject[0] 's total population were aged 0 to 14 templateLabel[1][1] .
This statistic shows a timeline with the amount of templateYLabel[1] templateYLabel[2] templateTitleSubject[0] templateYLabel[3] worldwide as of 2017 . As of that templateXLabel[0] , the social messaging app community had accumulated over templateYValue[max] templateScale templateYLabel[1] templateYLabel[2] templateYLabel[3] , up from over templateYValue[1] templateScale MAU in the previous year .
The statistic shows the templateXLabel[0] templateTitle[1] programs with the most templateYLabel[1] in the templateTitleSubject[0] templateTitle[1] templateYLabel[0] ( Madness , Big Dance ) . The templateTitle[1] team of templateXValue[3] has participated templateYValue[2] times in the templateYLabel[0] up to templateTitleDate[max] .
The statistic presents a templateTitle[2] templateTitle[3] the templateTitle[4] of the templateYLabel[0] templateYLabel[1] from templateXValue[min] to templateXValue[max] . The templateYLabel[0] templateYLabel[1] in templateXValue[max] is estimated to be templateTitle[3] templateYValue[idxmax(X)] templateScale people . This would be an templatePositiveTrend from templateYValue[17] templateScale people in templateXValue[17] .
This statistic shows the templateScale of templateYLabel[1] who use the templateTitle[0] in the templateTitle[5] from templateXValue[min] and templateXValue[max] . In the most recent measured templateXLabel[0] , templateYValue[idxmax(X)] templateScale of templateTitleSubject[0] templateYLabel[1] were reported to use the templateTitle[0] at least occasionally , up from templateYValue[8] templateScale in templateXValue[8] .
This statistic shows the templateLabel[1][0] templateTitle[2] of the templateTitleSubject[1] templateTitle[0] templateTitle[1] to the templateTitleSubject[1] templateTitle[3] in templateValue[0][last] and templateValue[0][0] , alongside the total contribution of the templateTitle[1] to the templateTitle[3] including templateLabel[2][1] demand , such as via the supply chain industries and induced spending of employee 's wages . In templateValue[0][0] , the templateLabel[1][0] templateTitle[2] of the templateTitle[0] templateTitle[1] was measured at templateValue[1][0] templateScale British pounds ( GBP ) , with a total contribution of templateValue[2][0] templateScale .
This statistic shows the responses from templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[5] by industry experts in templateTitleSubject[0] in templateTitleDate[0] . The templateTitle[5] returns were set at approximately templateXValue[0] to templateXValue[1] templateScale by templateYValue[max] templateScale of templateYLabel[1] at that time .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] of PricewaterhouseCoopers from templateXValue[min] to templateXValue[max] . In the fiscal templateXLabel[0] of templateXValue[max] , templateTitleSubject[0] generated approximately templateYValue[idxmax(X)] templateScale templateYLabel[2] templateYLabel[3] in templateTitle[0] templateTitle[1] templateTitle[2] . templateTitleSubject[0] - additional information templateTitleSubject[0] is one of the four largest accounting and audit firms in the world .
This statistic outlines the templateValue[0][2] templateTitle[0] templateTitle[1] in the templateTitle[2] from templateTitleDate[min] to templateTitleDate[max] , by mine type . In templateTitleDate[max] , the templateTitle[0] industry in the templateTitle[2] employed templateValue[6][max] people . Of that number , more than 32,000 employees worked templateValue[0][0] .
This statistic shows the templateXLabel[0] templateYLabel[1] of the templateTitle[2] templateTitle[3] templateTitle[4] in the templateTitle[5] in templateTitleDate[0] . The survey revealed that templateYValue[max] templateScale of the templateYLabel[1] templateTitle[1] templateTitle[3] templateTitle[4] in the templateTitle[5] were templateXValue[0] .
This statistic shows the amount of templateYLabel[0] templateYLabel[1] templateXValue[last] on 31st of , templateTitleDate[0] , templateTitle[7] templateXValue[last] of templateXValue[last] . There were a total of 82,634 templateYLabel[0] templateYLabel[1] templateXValue[last] in templateTitleSubject[0] and templateTitleSubject[1] on this date , the largest share of whom , templateYValue[max] , were serving templateXValue[2] of templateXValue[0] or templateXValue[0] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] in templateTitle[3] templateTitle[4] templateTitle[5] in the templateTitleSubject[0] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , templateValue[1][0] templateScale of the templateTitle[1] were employed in templateLabel[1][0] , templateValue[2][0] templateScale in templateLabel[2][0] and templateValue[3][0] templateScale in templateLabel[3][0] . The same templateLabel[0][0] , the total UK population amounted to about 62.3 templateScale people .
The templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] reached templateYValue[0] templateScale in templateXValue[max] , a small templatePositiveTrend from the previous templateXLabel[0] . Most of templateTitleSubject[0] 's population is of working age and employed . About 46 templateScale of templateTitleSubject[0] 's inhabitants work in the service sector , and another large portion of the population works in agriculture .
The statistic shows templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) in templateTitleSubject[0] from templateXValue[min] to templateXValue[7] , with projections up until templateXValue[max] . templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) denotes the aggregate value of all services and goods produced within a country in any given templateXLabel[0] . templateTitle[3] is an important indicator of a country 's economic power .
This statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of the templateTitleSubject[0] templateTitle[6] states in templateTitleDate[0] . A negative templateYLabel[1] balance means that a templateXLabel[0] contributes more to the templateTitleSubject[0] budget than it receives from it , a positive balance means the templateXLabel[0] contributes less than it receives . In templateTitleDate[0] , templateXValue[last] contributed the most with approximately 10.68 templateScale templateYLabel[4] .
The statistic shows the templateYLabel[1] in real templateYLabel[0] in templateTitleSubject[0] from between templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , templateTitleSubject[0] 's real templateTitle[0] templateTitle[1] templateTitle[2] templatePositiveTrend by around templateYValue[6] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic displays the templateYLabel[0] templateYLabel[1] in the templateTitleSubject[0] from templateTitleDate[min] to templateTitleDate[max] . In templateTitleDate[min] , this templateYLabel[1] stood at templateYValue[last] templateScale . templateYLabel[0] templateYLabel[1] stood at templateYValue[min] templateScale in templateTitleDate[max] .
The statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the average templateYLabel[0] of templateYLabel[2] in templateTitleSubject[0] was templateYValue[idxmax(X)] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
The statistic illustrates the templateYLabel[0] of templateTitleSubject[0] & Cie. from templateXValue[last] to templateXValue[0] . In its fiscal templateXLabel[0] templateXValue[1] , templateTitleSubject[0] made total templateYLabel[0] of templateYValue[max] templateScale templateYLabel[2] worldwide , a record high . templateTitleSubject[0] 's annual sales have witnessed continuous growth during the measured period .
This statistic shows the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] scores of templateTitleSubject[1] restaurants in the templateTitle[7] from templateXValue[min] to templateXValue[max] . templateTitleSubject[1] 's templateYLabel[0] templateYLabel[1] was templateYValue[0] templateYValue[idxmax(X)] 2019.The limited-service restaurant industry was not measured in 2004 .
This statistic shows the templateXValue[0] templateYLabel[1] templateTitle[3] templateYLabel[0] of templateTitleSubject[0] as of 2017 in leading online markets . During the measured period , templateTitleSubject[0] accounted for templateYValue[3] templateScale of templateYLabel[1] templateYLabel[2] in templateXValue[3] .
The statistic shows the templateTitle[0] templateTitle[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[1] of templateTitleSubject[0] 's templateTitle[0] amounted to templateYValue[idxmax(X)] templateYLabel[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
The statistic shows the templateTitle[0] templateTitle[1] professional templateTitle[3] on templateYLabel[1] templateTitle[5] as of 2016 , ranked by the templateYLabel[0] of fans . As of the measured period , templateXValue[0] , a player from Denmark also known as Bjergsen , was the most famous on templateYLabel[1] , with templateYValue[max] thousand templateYLabel[2] . He was followed templateTitle[7] templateXValue[1] , aka xPeke , who gathered templateYValue[1] thousand templateYLabel[2] on templateYLabel[1] .
The statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the Olympic templateTitleSubject[0] games from templateXValue[min] to templateXValue[max] . In the templateXValue[1] , templateYValue[1] templateScale of templateYLabel[2] in the Olympic templateTitleSubject[0] games were women . This figure is projected to grow to 59percent in templateXValue[max] .
This statistic shows the result of a survey question designed to find out what is templateTitle[0] templateTitle[1] to templateTitle[4] templateTitle[5] ( templateTitle[6] - templateTitle[7] ) in templateTitleSubject[0] , as of 2013 . The majority of templateYLabel[1] said that their templateXValue[0] is the templateTitle[0] templateTitle[1] thing to them .
This statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[5] in the templateTitle[0] from templateXValue[min] to templateXValue[max] . According to the report , the templateTitleSubject[0] templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[5] amounted to approximately templateYValue[idxmax(X)] templateYLabel[3] in templateXValue[max] .
The Centers for Medicare and Medicaid Services estimates that templateTitle[0] templateTitle[1] templateYLabel[0] in the templateTitle[3] came to some templateYValue[2] templateScale British pounds in templateXValue[2] . This amount includes only retail templateTitle[1] spending , excluding nonretail . Estimations of templateTitle[1] spending can vary by investigating organization .
This statistic shows the leading templateTitleSubject[0] templateTitle[1] the templateTitle[2] templateYLabel[0] templateYLabel[1] in templateTitleDate[0] . templateTitle[1] defense templateYLabel[1] totaling USD templateYValue[max] templateScale , the templateXValue[0] ranked first . Worldwide leaders in templateYLabel[0] templateYLabel[1] The templateXValue[6] States lead the globe in templateYLabel[0] templateYLabel[1] in templateTitleDate[0] .
This timeline shows jewelry , templateTitle[0] , and templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in the templateTitle[5] templateTitle[6] templateTitleDate[min] to templateTitleDate[max] . In templateTitleDate[max] , templateYLabel[1] jewelry , templateTitle[0] , and templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] amounted to about templateYValue[max] templateScale templateYLabel[1] templateYLabel[2] .
This statistic shows the templateTitle[0] templateTitle[1] of templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[last] to templateXValue[0] . The templateTitle[0] templateTitle[1] of templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] is estimated to reach templateYValue[idxmax(X)] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] templateYLabel[5] in templateXValue[idxmax(Y)] .
This statistic shows the world 's templateTitleSubject[0] templateYLabel[0] in templateTitleDate[0] , broken down templateTitle[3] templateTitle[4] . In templateTitleDate[0] , over 370 templateScale templateYLabel[2] templateYLabel[3] of templateTitleSubject[0] were produced in the templateXValue[0] were . The world templateYLabel[2] amounted to 7.69 templateScale templateYLabel[2] templateYLabel[3] in templateTitleDate[0] .
The templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateValue[5][min] kilograms of templateTitle[4] templateTitle[5] in templateTitleSubject[0] hit an all-time low of templateValue[5][min] Canadian dollars in 2019 . This templateTitle[2] has gradually templateNegativeTrend over time , from a monthly templateTitle[0] of templateValue[1][6] dollars per templateValue[5][min] kilograms in templateTitleDate[min] . What is templateTitle[4] templateTitle[5] ? templateTitle[4] templateTitle[5] which we buy in stores is a refined templateTitle[5] .
This statistic shows the templateTitle[3] templateYLabel[1] in templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[5] templateTitle[6] between templateXValue[min] and templateXValue[max] . In templateXValue[1] , templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[5] templateTitle[6] is estimated to templatePositiveTrend by templateYValue[1] templateScale on the templateXLabel[0] before . By templateXValue[max] , templateTitle[2] is projected to grow with another templateYValue[idxmax(X)] templateScale .
This statistic shows the templateYLabel[0] of refugees admitted to the templateTitleSubject[0] from the fiscal templateXLabel[0] of templateTitleDate[min] to the fiscal templateXLabel[0] of templateTitleDate[max] . During the fiscal templateXLabel[0] of templateTitleDate[max] , templateYValue[0] refugees were admitted to the templateTitle[2] .
This statistic shows the results of a survey concerning incidents of computer templateTitle[2] in German templateTitle[3] in templateTitleDate[0] . During the survey period it was found that templateValue[1][0] templateScale of respondents stated that their company templateNegativeTrend victim to templateValue[0][0] of IT or templateValue[0][0] within the two years prior to the survey . By comparison , a further templateValue[1][4] templateScale of respondents reported they were templateLabel[2][0] templateLabel[1][0] by such templateValue[0][0] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in templateTitleSubject[0] in templateTitleDate[0] , templateTitle[6] on templateYLabel[0] templateYLabel[1] . In that year , templateXValue[0] was the templateTitle[0] templateTitle[1] templateTitle[2] chain in templateTitleSubject[0] templateTitle[6] on templateYLabel[0] templateYLabel[1] of about templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] .
This graph depicts the templateYLabel[1] of the templateTitleSubject[0] franchise of the National Basketball Association from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] had an estimated templateYLabel[1] of templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] .
This survey shows the templateTitle[0] templateTitle[5] gave templateTitle[1] not reporting cases of templateTitle[3] on their premises to the templateXValue[1] in templateTitleSubject[0] and templateTitleSubject[1] in templateTitleDate[0] . Of templateYLabel[1] , templateYValue[max] templateScale claimed they did not templateXValue[5] the incident as there was no templateXValue[0] or damage or the crime was too trivial to templateXValue[5] to the templateXValue[1] .
The statistic shows the templateYLabel[0] of templateTitleSubject[0] templateTitle[2] templateYLabel[1] in templateTitleSubject[1] in templateXValue[min] and templateXValue[5] , with forecasts up to templateXValue[max] . In templateXValue[5] , around templateYValue[5] templateScale people accessed the templateTitle[2] through their templateTitleSubject[0] templateTitle[1] . In templateXValue[max] , the figure was projected to amount to templateYValue[idxmax(X)] templateScale templateTitleSubject[0] templateTitle[1] templateTitle[2] templateYLabel[1] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] of templateTitle[4] in templateTitleSubject[0] from the first templateLabel[0][0] of templateValue[0][7] to the third templateLabel[0][0] of templateValue[0][0] , templateTitle[7] templateTitle[8] . In the third templateLabel[0][0] of templateValue[0][0] , there were templateValue[2][0] templateTitleSubject[0] templateTitle[2] A deals in China and Hong templateLabel[2][1] .
The statistic depicts the templateYLabel[0] templateYLabel[1] of templateTitle[1] templateTitle[2] templateTitle[3] in the templateTitleSubject[0] snow sports market from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the total templateYLabel[0] templateYLabel[1] of templateTitle[1] templateTitle[2] templateTitle[3] amounted to approximately templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] .
Forecasts suggest that by the year templateTitleDate[min] the largest segment within the virtual and templateTitle[3] reality industry will be templateValue[0][0] . templateValue[0][0] game segment revenues are expected to reach nearly templateValue[1][max] templateScale U.S. dollars by templateTitleDate[min] and continue templatePositiveTrend to around 11.5 templateScale by templateTitleDate[max] . The templateValue[0][1] and templateValue[0][2] templateTitle[6] are also expected to experience high levels of growth in the coming years , further exhibiting the wide range of possible uses for the technology .
This statistic shows the templateTitle[0] of templateTitle[1] in the templateTitleSubject[0] templateTitle[3] templateTitle[0] of templateTitle[5] under 18 from templateValue[0][last] to templateValue[0][0] . Just over seven templateScale templateTitle[1] had three or templateLabel[4][1] templateTitle[5] under 18 living in the household in templateValue[0][0] .
This statistic shows the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] templateYLabel[1] templateTitle[5] from templateXValue[min] to templateXValue[max] . templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] was forecasted to templatePositiveTrend by templateYValue[2] templateScale in templateXValue[3] and a further templateYValue[2] templateScale in templateXValue[2] templateTitle[1] templateTitle[2] - additional information templateTitle[1] in the 21st century is no longer limited to a small geographical area , as internet communication and almost universal access to templateTitle[2] and accommodation allow for easy national and transnational movement between companies , their partners , customers , suppliers or distributors . Although multinational corporations and templateTitle[1] templateTitle[2] have a long history , they have reached unprecedented levels in the modern era and seem to be templatePositiveTrend every templateXLabel[0] .
This statistic shows the total templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateTitle[2] templateTitleSubject[0] plc in the United Kingdom ( UK ) between templateXValue[min] and templateXValue[max] . Passenger numbers for the UK based airline have been templatePositiveTrend since templateXValue[8] and reached templateYValue[max] templateScale templateTitle[2] templateXValue[idxmax(Y)] . This figure excludes the company 's subsidiary BA CityFlyer .
The statistic shows templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) denotes the aggregate value of all services and goods produced within a country in any given templateXLabel[0] . templateTitle[3] is an important indicator of a country 's economic power .
This statistic shows the leading 15 templateXLabel[0] models according to the Auto Express Driver Power templateTitleDate[0] survey responses templateTitle[3] on templateTitle[4] templateTitle[5] . The survey was carried out by the British automotive magazine online between 2015 and templateTitleDate[0] . templateXValue[3] had four models in the top 15 templateTitle[3] on templateTitle[4] templateTitle[5] .
The templateXValue[0] had the highest prevalence of templateTitle[0] templateTitle[1] among adults in templateTitleSubject[0] as of templateTitleDate[0] , with approximately templateYValue[max] templateScale of the templateYLabel[1] reported to using templateTitle[0] . This was followed templateTitle[7] templateXValue[1] with templateYValue[1] templateScale of the templateYLabel[1] and then the templateXValue[2] at templateYValue[2] templateScale . Only templateYValue[min] templateScale of respondents in templateXValue[last] , templateXValue[27] , templateXValue[26] and templateXValue[25] reported using templateTitle[0] in this period .
This statistic shows the templateScale of templateYLabel[1] templateYLabel[2] in the templateTitle[5] in templateTitleDate[0] , templateTitle[3] templateXLabel[0] . In templateTitleDate[0] , about templateYValue[49] templateScale of Californian templateYLabel[2] were templateYLabel[1] templateYLabel[2] . In templateTitleDate[0] , there were an estimated 34.05 templateScale templateYLabel[1] templateYLabel[2] in the templateTitle[5] .
templateValue[0][0] was the templateTitle[0] often used web-shop in templateTitleSubject[0] in templateTitleDate[min] and templateTitleDate[max] . Over 14 thousand Danish people were asked which web-shop they did their last purchase from and templateValue[2][max] templateScale of them answered Zalando in templateTitleDate[max] . templateValue[1][1] templateScale of the respondents did their last purchase on Amazon , the second templateTitle[0] used web-shop , and templateValue[1][4] templateScale did it on H & M , the web-shop ranked third .
This statistic shows the templateYLabel[0] of templateTitle[1] templateYLabel[1] in the templateTitle[3] in templateTitleDate[0] , templateTitle[5] templateXLabel[0] . In templateTitleDate[0] , the templateYLabel[0] of templateTitle[1] templateYLabel[1] in the templateTitle[3] amounted to templateYValue[max] templateScale .
This statistic shows the templateTitle[0] templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were a templateTitle[0] of templateYValue[idxmax(X)] directory listings for templateYLabel[1] templateYLabel[2] throughout the templateTitleSubject[0] .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateTitle[3] templateTitle[4] selected templateTitle[5] templateTitle[6] . As of 2012 , templateXValue[0] templateTitle[3] templateYValue[max] templateYLabel[1] templateYLabel[2] . templateXValue[12] , one of templateXValue[0] 's main competitors , templateTitle[3] templateYValue[12] templateYLabel[2] .
This statistic shows the templateScale of templateTitle[0] that involved templateTitle[2] in the templateTitle[3] in templateTitleDate[0] , templateTitle[5] templateXLabel[0] . In templateTitleDate[0] , about templateYValue[max] templateScale of templateYLabel[1] were committed with use of templateTitle[2] in templateXValue[1] . A ranking of the total number of templateTitle[0] templateTitle[5] templateTitleSubject[0] templateXLabel[0] can be found here .
The statistic shows templateTitle[1] AR templateTitle[4] templateYLabel[0] worldwide from templateXValue[min] to templateXValue[max] . templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateYLabel[0] reached templateYValue[min] templateScale templateYLabel[2] templateYLabel[3] in templateXValue[idxmin(Y)] and is forecast to amount to around templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] by templateXValue[idxmax(Y)] .
Over templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] of templateTitle[1] templateTitle[2] was consumed across templateTitleSubject[0] in templateXValue[idxmax(Y)] . There was a gradual templatePositiveTrend in the templateYLabel[0] of this variety of templateTitle[2] . Chicken was arguably the most popular templateTitle[1] templateTitle[2] consumed in the country .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] owned by households in the templateTitle[3] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were around templateYValue[max] thousand templateYLabel[1] templateYLabel[2] on templateTitle[0] templateTitle[1] and templateTitle[2] in the templateTitle[3] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitleSubject[0] templateTitle[3] titles templateTitle[5] as of 2019 . With some templateYValue[max] templateScale templateYLabel[2] sold templateTitle[5] , templateXValue[0] 7 was the templateTitle[0] templateTitle[1] templateTitleSubject[0] templateTitle[3] game as of 2019 .
This statistic shows the templateTitle[0] of templateTitle[1] templateTitle[2] templateTitle[3] in templateTitleSubject[0] in templateTitleDate[0] , templateTitle[8] demographic group . Among templateXValue[1] templateYLabel[1] , templateYValue[1] templateScale reported regularly visiting templateTitle[1] templateTitle[3] or blogs as of templateTitle[6] templateTitleDate[0] .
templateLabel[2][0] is the largest source of templateTitle[2] for templateTitleSubject[0] . In 2018/2019 , the club earned approximately templateValue[2][0] templateScale euros from templateLabel[2][0] , more than triple than in 2010/2011 . The second biggest templateTitle[2] templateTitle[4] is the templateLabel[3][0] one .
This statistic shows the templateYLabel[0] of templateTitleSubject[0] templateYLabel[1] templateTitle[3] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , market research company templateTitleSubject[0] employed templateYValue[idxmax(X)] members of staff templateTitle[3] , up from templateYValue[1] in the previous templateXLabel[0] .
The statistic shows the templateTitle[3] templateTitle[4] templateYLabel[0] of the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitleSubject[0] templateTitle[3] templateTitle[4] amounted to about templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] .
The statistic represents the mine templateYLabel[0] of templateTitle[0] in the templateTitle[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitleSubject[0] produced some templateYValue[0] templateYLabel[2] templateYLabel[3] of templateTitle[0] .
This statistic shows the results of a survey conducted in the templateTitleSubject[0] in templateTitleDate[0] on the templateTitle[0] of templateTitle[1] in a templateXValue[1] . Some templateYValue[max] templateScale of templateYLabel[1] stated that templateTitle[1] was templateXValue[0] to them in a templateXValue[1] because they templateXValue[0] feel templateXValue[0] it .
The statistic shows the twenty templateTitleSubject[0] templateTitle[1] templateTitle[2] in the templateTitle[3] according to the Global Peace templateYLabel[0] 2018 . According to the Global Peace templateYLabel[0] templateTitleDate[0] , templateXValue[0] was the templateTitleSubject[0] templateTitle[1] templateXLabel[0] in the templateTitle[3] with an templateYLabel[0] value of 1.072 . Additional information on the Global Peace templateYLabel[0] The Global Peace templateYLabel[0] is an effort by the Institute for Economics and Peace to measure the degree of peacefulness in templateTitle[2] across the global and rank them accordingly .
This statistic shows the share of templateTitleSubject[0] templateTitle[1] templateTitle[2] from templateValue[0][0] to templateValue[0][last] . In templateValue[0][last] , there were a templateLabel[1][0] of templateValue[1][last] unprovoked templateTitleSubject[0] templateTitle[1] on humans templateTitle[2] . templateValue[2][last] of these unprovoked templateTitle[1] were templateLabel[2][0] .
This statistic shows the year-over-year growth of templateTitle[3] templateYLabel[2] templateYLabel[3] in the templateTitle[6] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitle[3] templateYLabel[2] templateYLabel[3] were forecast to grow by approximately templateYValue[idxmax(X)] templateScale compared to the previous templateXLabel[0] . templateTitle[3] Season in the templateTitle[6] The templateTitle[3] season is just around the corner and it 's truly the best time of the templateXLabel[0] for both consumers and retailers of all shapes and sizes .
In templateTitleDate[0] , templateYLabel[1] templateTitle[4] retail e-commerce templateYLabel[0] in the templateXValue[0] amounted to templateYValue[max] templateYLabel[4] templateYLabel[5] , more than double the amount of templateYLabel[1] templateTitle[4] templateTitle[1] templateYLabel[0] in templateXValue[1] and more than 174 times the amount of the templateYLabel[0] in templateXValue[last] .
This statistic shows the templateYLabel[0] of templateTitleSubject[1] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] until templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of templateTitleSubject[1] templateYLabel[1] in templateTitleSubject[0] is expected to reach templateYValue[idxmax(X)] templateScale , up from templateYValue[idxmin(X)] templateScale in templateXValue[min] . Further information With more than 2 templateScale monthly active templateYLabel[1] , templateTitleSubject[1] is the most popular social network worldwide .
The statistic shows the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , templateYValue[idxmin(X)] templateScale of the templateYLabel[1] users accessed the templateTitle[3] through their templateTitle[1] device . This figure is projected to grow to 59percent in templateXValue[max] .
This statistic shows the templateTitleSubject[0] templateYLabel[0] templateYLabel[1] of templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of templateTitle[4] a templateTitleSubject[0] Yankees franchise amounted to templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] .
This statistic depicts the templateTitle[0] estimated annual templateTitle[1] to templateTitle[2] different universities and college institutions in the templateTitle[3] for academic years templateValue[0][0] to templateValue[0][last] . The templateTitle[0] templateTitle[1] of attendance ( which includes tuition , fees , room and board ) in templateLabel[1][0] templateLabel[2][1] in-state institutions was templateValue[2][last] templateTitleSubject[0] dollars in the academic templateLabel[0][0] templateValue[0][last] .
This statistic shows the templateTitleSubject[0] templateTitle[1] templateTitle[2] the templateTitle[3] templateYLabel[0] templateTitle[6] from templateTitle[4] as of templateTitleDate[0] . As of this time , templateXValue[0] had the templateTitle[3] templateTitle[4] templateYLabel[0] templateYLabel[1] templateTitle[2] templateYValue[max] deaths templateTitle[2] templateTitle[4] as the underlying cause of templateYLabel[0] templateYLabel[2] templateScale templateYLabel[4] .
This statistic shows the templateYLabel[1] rate of the global templateTitle[2] templateTitle[3] templateTitle[4] from templateXValue[min] to templateXValue[max] . The templateTitle[2] templateTitle[3] templateTitle[4] is templateTitle[1] to grow by templateYValue[9] templateScale in templateXValue[9] , reaching 42 templateScale U.S. dollars in size .
This statistic shows the global templateXValue[0] of the templateTitleSubject[0] templateTitle[2] in templateTitleDate[0] . In templateTitleDate[0] , approximately templateYValue[max] templateScale of the templateYLabel[1] templateYLabel[2] in the templateTitle[0] .
The statistic shows the templateYLabel[0] templateYLabel[1] templateTitle[2] of the templateTitleSubject[0] Yankees from templateXValue[min] to templateXValue[max] . For the templateXValue[1] season the templateTitleSubject[0] templateYLabel[2] templateYValue[1] templateScale templateYLabel[4] templateYLabel[5] in templateYLabel[0] templateYLabel[1] .
This statistic shows the results of a survey conducted in templateTitleDate[0] in the templateTitle[5] asking templateTitle[2] users how much they have templateTitle[1] on templateTitle[3] for their cell phone . The survey revealed that templateValue[1][0] templateScale of templateValue[0][0] spent templateLabel[1][0] 50 templateTitleSubject[0] dollars on templateTitle[3] for their mobile phone .
The statistic shows the templateTitle[0] templateTitle[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the templateTitle[0] templateTitle[1] of templateTitleSubject[0] was around templateYValue[6] templateScale people . See Switzerland 's templateTitle[1] figures for comparison .
The statistic depicts the templateYLabel[0] of the Premier templateTitle[3] of the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of the the templateTitleSubject[0] templateTitle[3] of the templateTitleSubject[0] amounted to approximately templateYValue[max] templateYValue[idxmax(X)] templateYLabel[2] .
This statistic shows the templateYLabel[0] of Scottish templateYLabel[1] templateTitle[3] the rest of the United Kingdom templateTitle[3] templateXValue[min] to templateXValue[max] . With the exception of templateXValue[17] , templateXValue[8] and templateXValue[4] , the templateYLabel[0] of templateTitleSubject[1] templateYLabel[1] has templatePositiveTrend templateTitle[3] templateYValue[idxmin(X)] templateScale in templateXValue[idxmin(Y)] to approximately templateYValue[max] templateScale by templateXValue[idxmax(Y)] .
This statistic shows the templateTitleSubject[0] Education templateTitle[0] templateXValue[0] ranking for templateTitleDate[0] , sorted templateTitle[3] templateYLabel[0] templateYLabel[1] . The trend templateYLabel[0] templateXValue[0] was templateYValue[max] templateYLabel[1] in templateTitleDate[0] . The templateYLabel[0] templateYLabel[1] templateYLabel[2] was the highest in templateXValue[0] , at templateYValue[1] .
This statistic shows the main templateTitle[5] templateTitle[6] of templateTitle[0] templateTitle[1] and templateTitle[2] templateTitle[3] imports to the templateValue[0][1] templateTitleSubject[0] ( templateTitleSubject[1] ) in templateTitleDate[0] . templateValue[0][0] was the main source of both templateTitle[0] templateTitle[1] and templateTitle[2] templateTitle[3] for the templateValue[0][1] templateTitleSubject[0] with templateValue[0][2] and templateValue[0][3] also having played significant roles . In templateTitleDate[0] , the templateValue[0][1] templateTitleSubject[0] imported approximately 46 templateScale metric tons of templateTitle[0] templateTitle[1] and templateTitle[2] templateTitle[3] , and exported approximately 43 templateScale metric tons of the same .
This statistic presents the templateYLabel[0] of templateTitle[1] templateTitle[2] templateTitle[3] templateYLabel[1] in the templateTitle[5] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[idxmax(X)] templateTitle[1] templateTitle[2] templateTitle[3] templateYLabel[1] in the templateTitle[5] .
In templateTitleDate[max] , templateValue[0][0] had the highest templateTitle[3] of templateTitle[0] donors in templateTitleSubject[2] . The templateTitle[3] of templateTitle[1] donation , including donation after brain death ( templateTitleSubject[0] ) and after cardiac death ( templateTitleSubject[1] ) , was templateValue[2][max] per templateScale population . templateValue[0][1] had the second highest templateTitle[3] of templateTitle[0] templateTitle[1] donation in templateTitleSubject[2] after templatePositiveTrend to a templateTitle[3] of templateValue[2][1] per templateScale population .
The statistic shows templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[1] templateYLabel[2] templateTitle[5] in the templateTitleSubject[0] ( templateTitleSubject[1] ) from templateTitleDate[min] to 2019 . In 2019 , the templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[1] templateYLabel[2] in the templateTitleSubject[0] amounted to templateYValue[max] templateYLabel[3] templateYLabel[4] .
The statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at about templateYValue[idxmax(X)] templateScale . Trade in templateTitleSubject[0] is a templatePositiveTrend market and recognized as one of the world 's newest industrialized countries .
This statistic shows the templateYLabel[0] of templateYLabel[1] in templateTitleSubject[0] in templateTitleDate[0] , templateTitle[3] templateTitle[4] . In templateTitleDate[0] approximately five thousand templateYLabel[1] were counted in templateTitleSubject[0] .
This statistic shows the templateTitleSubject[0] Satisfaction templateTitle[3] scores for templateTitle[4] templateTitle[5] in the templateTitle[6] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] for templateTitle[4] templateTitle[5] in the templateTitle[6] was templateYValue[idxmax(X)] .
This statistic shows the Ukrainian templateTitle[0] templateTitle[1] templateTitle[2] ( templateYLabel[0] ) templateYLabel[1] templateYLabel[2] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , templateTitleSubject[0] 's templateYLabel[0] templateYLabel[1] templateYLabel[2] amounted to approximately templateYValue[6] templateYLabel[4] templateYLabel[5] .
The statistic shows the templateYLabel[0] of the templateTitleSubject[0] templateTitle[1] templateTitle[2] in templateTitleDate[0] , sorted templateTitle[5] templateTitle[6] . The templateTitleSubject[0] templateTitle[1] templateTitle[2] generated a total revenue of approximately templateYValue[max] templateScale templateYLabel[2] in templateTitleDate[0] .
This graph depicts the templateYLabel[0] templateYLabel[1] templateYLabel[2] for templateTitleSubject[0] Dodgers games in Major League Baseball from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] templateYLabel[2] was at templateYValue[idxmax(X)] templateYLabel[3] templateYLabel[4] .
The statistics shows the templateTitle[3] templateTitle[4] templateTitle[5] templateYLabel[0] of the templateXValue[0] movies . The most recent templateXLabel[0] in the franchise , `` Solo : A templateXValue[0] Story '' , generated almost templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] at the North American templateTitle[4] templateTitle[5] .
The statistic shows templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) in templateTitleSubject[0] from templateXValue[min] to templateXValue[7] , with projections up until templateXValue[max] . templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) denotes the aggregate value of all services and goods produced within a country in any given templateXLabel[0] . templateTitle[3] is an important indicator of a country 's economic power .
This statistic presents the development of templateYLabel[0] of current account holders , who use templateTitle[1] templateTitle[2] to communicate with their bank at least once a month in the templateTitleSubject[1] ( templateTitleSubject[2] ) from templateXValue[min] to templateXValue[max] . By templateXValue[max] , it can be seen that templateYValue[idxmax(X)] templateScale of templateYLabel[1] stated they used templateTitle[1] templateTitle[2] at least once a month . The increases observed in templateTitle[1] templateTitle[2] usage were steep over time : in templateXValue[min] , only templateYValue[min] templateScale of current account holders on the British market turned monthly to templateTitle[1] templateTitle[2] as a secure way of communicating with their bank .
The statistic shows the templateTitle[0] templateTitle[1] ( templateYLabel[0] ) of the templateTitleSubject[0] Earthquakes club of Major League Soccer by templateTitle[0] in templateTitleDate[0] . templateXValue[0] `` Vako '' templateXValue[0] received a salary of templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] .
The templateYLabel[0] templateYLabel[1] of the templateTitle[2] market in templateTitleSubject[0] amounted to around templateYValue[0] templateScale templateYLabel[3] templateYLabel[4] in the templateXValue[max] financial templateXLabel[0] . This is an templatePositiveTrend of over 0.55 templateScale templateYLabel[4] templateYLabel[5] since templateXValue[min] . templateYLabel[2] templateTitle[2] laws Canada has complex templateTitle[2] laws which have developed since Prohibition in the 1920s .
This statistic shows the estimated templateYLabel[0] of templateYLabel[1] templateTitle[2] templateTitle[3] to templateTitle[4] templateTitle[5] in templateTitleSubject[1] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of templateYLabel[1] templateTitle[2] templateTitle[3] to templateTitle[4] templateTitle[5] amounted to approximately templateYValue[min] templateScale templateYLabel[1] templateTitle[2] , the lowest amount in the provided time interval .
This statistic shows the 20 templateTitleSubject[0] templateTitle[1] the templateTitle[2] templateYLabel[0] templateYLabel[1] templateTitle[5] in templateTitleDate[0] . In the templateXValue[0] , the templateYLabel[0] templateNegativeTrend by about templateYValue[max] templateScale templateYLabel[2] to the templateYLabel[3] templateYLabel[4] , making it the templateXLabel[0] templateTitle[1] the templateTitle[2] templateYLabel[0] templateYLabel[1] templateTitle[5] in templateTitleDate[0] . The templateYLabel[0] Today , the global templateYLabel[0] amounts to around 7 templateScale templateYLabel[2] , i.e .
In templateTitleDate[0] , some templateYValue[0] templateScale of templateYLabel[1] stated they will probably templateTitle[4] templateTitle[5] on templateTitle[6] templateTitle[7] templateTitle[8] that year , while almost half of all templateYLabel[1] stated they probably wo n't . Is romance really dead ? templateTitle[6] templateTitle[7] templateTitle[8] is generally considered the most romantic templateTitle[8] of the year , which people use to give flowers and tokens of appreciation to loved ones . About half of the American population celebrate templateTitle[6] templateTitle[7] templateTitle[8] , but this fact does templateXValue[last] infer that the same templateYLabel[0] of the population is taken or in love ; in fact , a certain templateYLabel[0] of templateYLabel[1] rather bought templateTitle[6] templateTitle[7] presents for their pets last year rather than a significant other , and another significant templateYLabel[0] of templateYLabel[1] spent the templateTitle[8] alone , with colleagues , friends , or with family , rather than with a spouse or a partner .
This statistic depicts the templateYLabel[0] of the templateTitle[0] templateTitle[1] conditioner/creme rinse templateTitle[3] in the templateTitle[4] in templateTitleDate[0] . In that year , the templateTitle[0] templateTitle[1] templateTitle[2] templateXLabel[0] of the templateTitle[4] was OGX with templateYLabel[0] that amounted to approximately templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] .
The statistic depicts the templateXLabel[0] templateTitle[1] templateXLabel[1] of the templateTitle[7] clubs in the templateTitle[4] Five templateTitle[6] templateTitleSubject[0] templateTitle[7] templateTitle[8] in the templateTitle[9] season . The templateXLabel[0] templateXLabel[1] from merchandising in the German templateXValue[2] was at templateYValue[2] templateScale templateXLabel[3] templateTitle[10] templateTitle[11] in the templateTitle[9] season .
This statistic presents the average templateTitle[0] templateTitle[1] of templateTitle[2] templateTitle[3] in templateTitleSubject[0] from templateTitleDate[min] to templateTitleDate[max] , templateTitle[6] templateLabel[0][0] . The average cost for templateTitle[0] templateTitle[1] in templateTitleSubject[0] in templateTitleDate[max] was templateValue[3][last] U.S. dollars .
The statistic shows the templateXLabel[0] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] 's templateTitle[0] templateYLabel[0] surplus had amounted to around templateYValue[max] templateScale templateYLabel[2] .
This statistic shows the templateTitle[0] templateYLabel[0] of templateTitle[2] templateYLabel[1] templateYLabel[2] templateTitle[5] in the templateTitle[6] from templateXValue[last] to templateXValue[0] . The templateTitle[0] templateYLabel[0] of templateTitle[2] templateYLabel[1] templateYLabel[2] in the templateTitleSubject[0] amounted to approximately templateYValue[max] thousand templateYLabel[1] templateYLabel[2] .
The statistic shows the templateYLabel[1] of the Disaster Recovery as a Service ( templateTitleSubject[0] ) templateYLabel[0] templateTitle[2] , from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the global templateTitleSubject[0] templateYLabel[0] was predicted to reach templateYValue[min] templateScale templateYLabel[3] templateYLabel[4] in templateYLabel[1] . Additional information - Disaster Recovery as a Service ( templateTitleSubject[0] ) Within the field of information technology , disaster recovery is the process of replicating data on servers , either physical or virtual , as a precaution against man-made or natural disasters .
This statistic shows the templateTitle[0] why templateTitle[1] in the templateTitleSubject[0] ( UK ) templateValue[0][5] templateValue[0][4] templateTitle[4] ( templateTitle[7] ) templateValue[0][0] templateValue[0][6] . The statistic illustrates the templateLabel[1][0] templateTitle[0] as well as showing templateLabel[2][0] templateTitle[0] that those surveyed were allowed to choose . The most common templateLabel[1][0] templateTitle[0] as well as overall templateLabel[1][1] is that travelling templateValue[0][0] is templateTitle[7] templateValue[0][0] than travelling templateValue[0][0] templateValue[0][6] .
Between templateXValue[min] and templateXValue[max] the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] fluctuated between a high of templateYValue[max] templateYValue[idxmin(X)] templateYLabel[2] 1,000 people in templateXValue[idxmax(Y)] and a low of templateYValue[min] in templateXValue[idxmin(Y)] . From templateXValue[7] onwards the templateYLabel[0] templateYLabel[1] creeped up slightly and in the most recent templateXLabel[0] of templateXValue[max] , reached templateYValue[idxmax(X)] templateYValue[idxmax(X)] Over 616 thousand deaths in templateXValue[max] alone Although there was a net templateNegativeTrend of around three thousand deaths recorded in the templateTitleSubject[0] between templateXValue[min] and templateXValue[max] , the templateXLabel[0] with the lowest number of deaths was templateXValue[7] when there were just over 552 thousand deaths recorded .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] of templateTitle[3] templateTitle[4] in the templateTitleSubject[0] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , templateValue[1][0] templateScale templateTitle[1] templateTitle[2] of templateTitle[3] templateTitle[4] in templateLabel[1][0] was templateLabel[1][1] .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] of templateTitle[4] in templateTitleSubject[0] in templateTitleDate[min] and templateTitleDate[max] . In the first templateLabel[0][0] of templateTitleDate[max] , the templateTitle[1] templateTitle[2] templateTitle[3] of templateTitle[4] in templateTitleSubject[0] in the country was templateValue[2][max] U.S. dollars . Accommodation in templateTitleSubject[0] - additional information The templateTitle[1] templateTitle[2] templateTitle[3] of templateTitle[4] in templateTitleSubject[0] appears to be much higher in the fourth templateLabel[0][0] of the year , reaching templateValue[1][max] U.S. dollars in templateTitleDate[min] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in templateTitleSubject[0] in templateTitleDate[0] , templateTitle[6] on templateYLabel[0] templateYLabel[1] . In that year , templateXValue[0] was the templateTitle[0] templateTitle[1] templateTitle[2] chain in templateTitleSubject[0] templateTitle[6] on templateYLabel[0] templateYLabel[1] of about templateYValue[max] templateScale .
This statistic shows the templateYLabel[0] of templateYLabel[1] paid hourly rates at or below the prevailing federal templateTitle[2] templateTitle[3] in the templateTitle[1] in templateTitleDate[0] , templateTitle[5] templateXLabel[0] templateXLabel[1] . In templateTitleDate[0] , around templateYValue[max] people without a templateXValue[0] diploma earned the templateTitle[2] templateTitle[3] or below .
The statistic displays the templateTitle[2] costs templateYLabel[1] templateYLabel[2] templateYLabel[3] of templateTitle[0] templateTitle[1] spaces in templateTitleSubject[0] ( CBD ) from the first templateXLabel[0] of 2015 to the third templateXLabel[0] of templateTitleDate[0] . It can be seen that the price of templateTitle[0] templateTitle[1] properties in templateTitleSubject[0] templatePositiveTrend over time , reaching templateYValue[max] templateYLabel[4] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[1] year as of the first templateXLabel[0] of templateXValue[last] .
templateValue[0][0] cars were the most expensive automobiles sold in the templateTitleSubject[0] in templateTitleDate[max] . With an templateTitle[3] price tag of templateValue[2][max] euros , the templateTitle[1] maker ranked ahead of fellow German manufacturer templateValue[0][1] . The only templateTitle[1] templateTitle[8] which had seen its templateTitle[4] templateNegativeTrend since templateTitleDate[min] was Citroen .
This graph depicts the templateYLabel[0] templateTitle[1] templateTitle[2] templateTitle[3] templateYLabel[1] of the templateTitleSubject[0] templateTitle[6] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] at templateTitle[3] games of the templateTitleSubject[0] templateTitle[6] was templateYValue[idxmax(X)] .
The statistic illustrates the answers to the following survey question : `` The templateTitle[2] templateXValue[0] templateTitle[5] will probably cost a thousand euros . templateXValue[last] you willing to pay that ? '' As of templateTitleDate[0] , roughly 20 templateScale of the templateYLabel[1] said to templateXValue[0] the templateXValue[0] from templateTitleSubject[0] when it is released , even if it templateTitle[6] them a thousand euros . However , more than half of the templateYLabel[1] said the price is templateXValue[1] absurd for an templateTitleSubject[0] templateXValue[0] .
This statistic shows the templateYLabel[0] of templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . The templateYLabel[0] of templateYLabel[1] peaked in templateXValue[max] , with over 110,000 templateYLabel[1] .
This statistic shows the templateXLabel[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[7] U.S. templateTitle[8] templateTitle[9] on templateTitleSubject[0] as of 2011 . templateXValue[1] templateXLabel[0] received templateYValue[1] likes from U.S. templateTitle[8] templateTitle[9] .
This statistic presents the templateTitle[0] of templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] water pipe in templateTitleSubject[0] in templateXValue[min] , templateXValue[1] and templateXValue[max] . In templateXValue[min] , templateTitle[1] templateTitle[2] and footwear templateYLabel[1] are expected to grow by templateYValue[min] templateScale .
This graph depicts the templateYLabel[0] templateYLabel[1] templateYLabel[2] for templateTitleSubject[0] games in the National Football League from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] templateYLabel[2] was at templateYValue[idxmax(X)] templateYLabel[3] templateYLabel[4] .
This statistic shows the templateTitleSubject[0] Education templateTitle[0] templateXValue[0] ranking for templateTitleDate[0] , sorted templateTitle[3] templateYLabel[0] templateYLabel[1] . templateXValue[0] was placed first as the templateXValue[0] with the highest templateYLabel[0] templateYLabel[1] worldwide , at templateYValue[max] .
As of templateXValue[0] , it was estimated that templateTitleSubject[0] had just templateYValue[0] thousand templateYLabel[1] in the templateTitle[2] , a significant drop from the templateYValue[max] templateScale recorded in templateXValue[1] . templateTitleSubject[0] is no stranger to media attention , but after the recent claims from a source that they had obtained internal data about templateTitleSubject[0] 's floundering subscriber base , the company is once again in the spotlight . What is templateTitleSubject[0] ? templateTitleSubject[0] is a subscription-based movie ticketing service , designed to allow templateYLabel[1] to buy a select amount of movie tickets each templateXLabel[0] for a single fee .
The statistic depicts the templateTitle[3] team of templateLabel[2][0] drinks , beers and templateLabel[3][0] dogs in templateTitleSubject[0] Baseball from templateValue[0][last] to templateValue[0][0] . The templateTitle[3] price of a templateLabel[3][0] templateLabel[3][1] was templateValue[3][0] U.S. dollars in templateValue[0][0] . templateTitleSubject[0] Baseball templateTitle[4] templateTitle[6] – additional information templateLabel[3][0] dogs , templateLabel[2][0] templateLabel[2][1] and templateLabel[1][0] are food and beverage staples at templateTitleSubject[0] Baseball games .
This statistic gives information on the templateTitle[1] templateTitle[2] of templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] as of October templateTitleDate[0] . During this period of time , templateYValue[min] templateScale of Indian templateYLabel[1] templateYLabel[2] were templateXValue[0] . The majority of templateYLabel[1] templateYLabel[2] were templateXValue[last] .
The statistic shows the templateYLabel[0] of the templateTitleSubject[0] franchise from the templateXValue[last] season to the templateXValue[0] season . In templateXValue[0] , the estimated templateYLabel[0] of the National Basketball Association franchise amounted to templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] household end users in templateTitleSubject[0] templateTitle[7] from templateXValue[17] to templateXValue[0] . In the first half of templateXValue[0] , the average templateTitle[0] price templateTitle[2] templateTitle[3] was templateYValue[0] templateYLabel[0] templateYLabel[1] templateYLabel[2] kWh .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] in the templateTitleSubject[0] and the templateTitleSubject[0] templateTitle[6] from templateValue[0][last] to templateValue[0][0] . The figures refer to those younger than 25 years . In templateValue[0][0] , the templateTitle[0] templateTitle[1] templateTitle[2] in the templateTitleSubject[0] amounted to templateValue[2][0] templateScale .
The templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] one-kilogram templateTitle[4] templateTitle[5] templateTitle[6] was templateValue[5][max] Canadian dollars in 2019 in templateTitleSubject[0] . This templateTitle[2] is an all-time high templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] . templateTitle[4] templateTitle[5] templateTitle[6] is a relatively expensive option when compared to other cuts of beef , such as ground beef , which retailed at a templateTitle[2] of 11.3 Canadian dollars per kilogram in templateValue[0][7] templateTitleDate[max] .
The statistic shows the market templateYLabel[0] of templateTitleSubject[0] in the templateTitle[3] templateTitle[4] market ( unit templateYLabel[1] ) from the first templateXLabel[0] of templateTitleDate[min] to the fourth templateXLabel[0] of templateTitleDate[max] . In the fourth templateXLabel[0] of templateTitleDate[max] , templateTitleSubject[0] templateTitle[1] market templateYLabel[0] in the templateTitle[4] market was at templateYValue[0] templateScale templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] of Scottish templateYLabel[1] templateTitle[3] the rest of the United Kingdom templateTitle[3] templateXValue[min] to templateXValue[max] . With the exception of templateXValue[17] , templateXValue[8] and templateXValue[4] , the templateYLabel[0] of templateTitleSubject[1] templateYLabel[1] has templatePositiveTrend templateTitle[3] templateYValue[idxmin(X)] templateScale in templateXValue[idxmin(Y)] to approximately templateYValue[max] templateScale by templateXValue[idxmax(Y)] .
This statistic shows the templateTitle[0] templateTitle[1] templateYLabel[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitleSubject[0] in templateTitleDate[0] . In templateTitleDate[0] , the templateTitle[0] templateTitle[1] templateYLabel[2] templateTitle[3] of templateTitleSubject[0] was templateXValue[0] , with a templateYLabel[0] of templateYValue[max] templateScale in exports .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateYLabel[3] ( templateTitle[1] ) templateYLabel[4] one hundred thousand templateYLabel[7] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were approximately 66.45 templateTitle[1] templateYLabel[4] hundred thousand templateYLabel[7] in templateTitleSubject[0] .
This statistic shows the templateTitle[0] templateTitle[1] of templateXValue[0] templateXLabel[1] in the templateTitle[4] in templateTitleDate[0] , templateTitle[6] templateXLabel[0] . In templateTitleDate[0] , about templateYValue[max] templateScale of the templateXValue[0] could be templateYLabel[1] . 748,841 cases of templateXValue[0] vehicle theft were recorded in the templateTitle[4] in templateXValue[1] in templateTitleDate[0] .
This statistic shows the results of a templateTitleDate[0] survey among Americans aged 16 and older regarding the templateTitle[0] they are looking for in a close templateTitle[2] . This statistic only shows the top five answers to that question . templateYValue[max] templateScale of the templateYLabel[1] stated a close templateTitle[2] has to be loyal .
In templateValue[0][0] , the templateTitle[1] of templateTitle[0] in templateTitleSubject[0] was six templateScale – the lowest it had been in a decade . There were real regional differences within the country though . The templateLabel[1][0] templateTitle[6] did particularly well economically , with an templateTitle[0] templateTitle[1] of templateValue[1][0] templateScale in templateValue[0][0] .
This statistic shows the value of business-to-business ( templateTitle[10] , including-business-to-government or B2G ) and business-to-consumer ( templateTitle[11] ) templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in the templateTitleSubject[0] from templateValue[0][0] to templateValue[0][last] . In templateValue[0][last] , templateTitle[1] to templateLabel[1][1] templateLabel[1][2] ( templateTitle[11] ) amounted to templateValue[1][last] templateScale British pounds . This is an templatePositiveTrend of over 70 templateScale British pounds since templateValue[0][3] .
The templateTitle[1] rate in templateTitleSubject[0] has been oscillating throughout recent years . In templateXValue[max] , templateYValue[min] templateScale of the Argentine templateYLabel[1] were living on less than templateTitle[4] templateTitle[5] templateTitle[6] templateTitle[7] templateTitle[8] , down from templateYValue[max] templateScale of the templateYLabel[1] in 2005.In nominal terms , household income templateTitle[7] capita in templateTitleSubject[0] has shown a significant improvement in templateXValue[idxmin(Y)] .
This statistic shows templateTitleSubject[0] templateTitle[1] templateTitleSubject[0] templateTitle[3] templateYLabel[1] of the templateTitle[5] templateTitle[6] templateTitle[7] templateYLabel[0] templateTitle[9] from templateXValue[min] to templateXValue[max] . In templateXValue[2] , templateTitleSubject[0] templateTitle[1] templateTitleSubject[0] templateTitle[3] templateYLabel[1] of the global templateTitle[5] templateTitle[6] templateTitle[7] templateYLabel[0] is estimated to be templateYValue[2] templateScale .
The statistic shows templateTitle[0] templateTitle[1] templateTitle[2] ( templateYLabel[0] ) templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] , also known as Burma , from templateXValue[min] to templateXValue[9] with projections up to templateXValue[max] . templateYLabel[0] is the total value of all goods and services produced in a country in a templateXLabel[0] . It is considered to be a very important indicator of the economic strength of a country and a positive change is an indicator of economic growth .
The statistic shows the templateTitle[0] of templateTitle[1] to templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitle[1] worth approximately templateYValue[0] templateScale templateYLabel[2] templateYLabel[3] were imported to templateTitleSubject[0] . templateYLabel[0] to templateTitleSubject[0] – additional information In templateXValue[4] , templateTitleSubject[0] had surpassed the country as the world 's largest templateTitle[1] trader .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitle[1] templateTitle[2] in templateTitleSubject[0] was at about templateYValue[idxmax(X)] templateYLabel[0] templateYLabel[1] 1,000 templateYLabel[3] templateYLabel[4] .
This statistic shows the templateTitleSubject[0] templateTitle[1] in the templateTitle[2] templateTitle[3] templateTitle[4] in templateTitleDate[0] . In that year , templateValue[0][0] was the templateTitleSubject[0] producer with a templateTitle[2] templateTitle[3] rate of approximately templateValue[2][0] templateScale U.S. dollars .
This statistic shows the leading nations to which the templateTitleSubject[0] exported templateTitle[1] ( milled basis ) in templateTitleDate[0] . Some templateYValue[max] templateYLabel[1] templateYLabel[2] were exported to templateXValue[0] that year . Thus , templateXValue[0] was ranked first among the most important destinations for templateTitleSubject[0] templateTitle[1] templateYLabel[0] in templateTitleDate[0] .
In templateXValue[4] , the templateYLabel[0] of templateTitleSubject[1] templateYLabel[1] in templateTitleSubject[0] amounted to templateYValue[5] templateScale and is projected to grow to templateYValue[max] templateScale in templateXValue[idxmax(Y)] . The current templateTitleSubject[1] usage penetration in templateTitleSubject[0] is about 64 templateScale of the population . Social media in templateTitleSubject[0] Social networking is a popular online activity in templateTitleSubject[0] .
The statistic shows the templateTitle[0] of templateTitle[1] templateTitle[2] in templateTitleSubject[0] in templateTitleDate[0] . In templateTitleDate[0] , templateYValue[max] templateScale of templateTitle[1] templateTitle[2] in the templateTitle[0] were templateTitle[1] templateTitle[2] users .
This statistic gives information on the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] in templateTitleDate[0] , broken down templateTitle[5] templateTitle[6] . In templateTitleDate[0] , more than templateYValue[2] templateScale of Brazilian templateYLabel[1] templateYLabel[2] were templateTitle[5] .
This statistic depicts the templateTitle[0] templateYLabel[0] of templateYLabel[1] of the templateTitleSubject[0] templateTitle[4] Corporation from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitleSubject[0] templateTitle[4] Corporation employed templateYValue[min] associates .
This statistic shows the results of a survey asking templateValue[0][2] templateTitle[9] if they used templateTitle[0] tablets at least a few times a week templateTitle[4] their templateValue[0][2] templateTitle[6] . The results are differentiated templateTitle[7] the subjects that they would use a templateTitle[1] device templateTitle[4] and the templateTitle[13] of templateValue[0][2] they were in . Through the survey , it was found that templateValue[4][1] templateScale of US templateValue[0][1] templateValue[0][2] templateTitle[9] used a full-sized templateTitle[1] templateTitle[4] their templateLabel[4][0] templateValue[0][2] templateTitle[6] at least a few times per week .
The statistic presents the results of a survey conducted in 2018 and 2019 to find out about the situation of templateXValue[7] and templateXValue[6] ( in ) equality across 27 countries . When asked which were the main templateTitle[3] templateXValue[13] templateXValue[7] and templateXValue[7] were templateTitle[4] in templateTitleSubject[0] , templateYValue[max] templateScale of templateYLabel[1] answered templateXValue[0] .
This statistic shows a templateTitleSubject[0] of the volume of templateTitle[1] templateYLabel[0] globally from templateXValue[min] to templateXValue[max] . By templateXValue[max] , it is predicted that templateTitle[1] templateYLabel[0] will reach nearly templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] templateTitle[3] . templateTitle[1] is most commonly used for making steels , nonferrous alloys , and electroplating .
This statistic shows the templateTitleSubject[0] annual templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[5] templateXValue[min] through templateXValue[max] . In templateXValue[7] , the templateTitleSubject[0] templateYLabel[0] templateTitle[2] templateTitle[3] stood at templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] templateYLabel[5] templateYLabel[6] .
This graph shows the templateTitle[2] of templateTitle[1] amongst those aged 25 or older , distinguished templateTitle[3] educational attainment levels from templateTitleDate[min] to templateTitleDate[max] in the templateTitle[0] . In templateTitleDate[max] , around templateValue[1][0] templateScale of people aged 25 and older who had templateLabel[1][0] templateLabel[1][1] a templateLabel[1][2] templateLabel[1][3] templateLabel[1][4] , were unemployed . The monthly templateTitle[1] templateTitle[2] in the templateTitleSubject[0] can be accessed here and the templateTitle[1] templateTitle[2] for each templateTitleSubject[0] state can be accessed here .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] household end users in templateTitleSubject[0] templateTitle[8] from templateXValue[15] to templateXValue[0] . In the first half of templateXValue[0] , the average templateTitle[0] templateTitle[1] price templateTitle[3] templateTitle[4] was templateYValue[0] templateYLabel[0] templateYLabel[1] templateYLabel[2] kWh .
This statistic shows the templateTitle[0] of templateTitleSubject[0] templateTitle[2] templateTitleSubject[0] templateTitle[4] from templateValue[0][last] to templateValue[0][0] , templateTitle[7] templateTitle[8] . In templateValue[0][0] , the templateTitle[0] of templateTitleSubject[0] templateTitle[2] templateTitleSubject[0] templateTitle[4] worldwide amounted to around templateValue[2][0] templateScale U.S. dollars .
The statistic depicts the total templateYLabel[0] of templateTitle[1] and templateTitle[2] templateTitleSubject[0] templateTitle[3] in the world 's most perilous territorial waters in templateTitleDate[0] . That year , there were templateYValue[min] templateTitle[1] and templateTitle[2] templateTitleSubject[0] templateTitle[3] off the Venezuelan coast .
This statistic shows the templateYLabel[0] of templateTitleSubject[1] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of templateTitleSubject[1] templateYLabel[1] in templateTitleSubject[0] reached templateYValue[idxmax(X)] templateScale .
This graph depicts the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] templateTitle[3] of the National Football League from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] came to templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] . The templateTitleSubject[0] templateTitle[3] are owned by the McCaskey family , who bought the templateYLabel[0] in 1920 .
This statistic shows the templateYLabel[0] of templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . According to the report , around templateYValue[max] thousand babies were born in templateTitleSubject[0] in templateXValue[idxmax(Y)] , an templatePositiveTrend from the previous templateXLabel[0] were templateYValue[1] thousand babies were born .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in templateTitle[3] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[idxmax(X)] templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] . Gambling in templateTitleSubject[0] - additional information The templateYLabel[0] of templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] templatePositiveTrend by more than 2,000 between 2007 and templateXValue[1] .
templateValue[0][0] was the European templateLabel[0][0] with the largest stock of templateTitle[1] vehicles in all three years here recorded . The total number of templateTitle[0] templateTitle[1] templateTitle[2] in templateTitleSubject[0] stood at 286.8 templateScale units in templateTitleDate[max] , of which templateValue[0][0] accounted for 46.5 templateScale . With the greatest population among all European countries and home to a prominent number of automobile manufacturers , this was unsurprising .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at approximately templateYValue[idxmax(X)] templateScale .
Forecasts suggest that by the year templateTitleDate[min] the largest segment within the virtual and templateTitle[3] reality industry will be templateValue[0][0] . templateValue[0][0] game segment revenues are expected to reach nearly templateValue[1][max] templateScale U.S. dollars by templateTitleDate[min] and continue templatePositiveTrend to around 11.5 templateScale by templateTitleDate[max] . The templateValue[0][1] and templateValue[0][2] templateTitle[6] are also expected to experience high levels of growth in the coming years , further exhibiting the wide range of possible uses for the technology .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateYLabel[3] ( templateTitle[1] ) templateYLabel[4] one hundred thousand templateYLabel[7] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were approximately 66.45 templateTitle[1] templateYLabel[4] hundred thousand templateYLabel[7] in templateTitleSubject[0] .
This statistic shows the results of a survey asking respondents how they voted in the templateTitleSubject[0] referendum of templateTitleDate[0] , templateTitle[4] templateTitle[5] templateTitle[6] . Of respondents , templateValue[1][last] templateScale of those in the AB templateTitle[5] templateTitle[6] advised they had voted to templateLabel[1][0] , while just templateValue[1][0] templateScale of C2 and DE respondents said they had voted to templateLabel[1][0] .
This statistic shows the templateTitleSubject[0] of templateTitle[1] templateTitleSubject[0] templateTitle[3] templateTitle[4] from templateValue[0][last] to templateValue[0][0] , broken down templateTitle[7] templateTitle[8] . In templateValue[0][0] , templateTitleSubject[0] operated approximately templateValue[3][0] templateScale U.S. dollars . The templateTitleSubject[0] of templateTitle[1] templateTitleSubject[0] templateTitle[3] templateTitle[4] amounted to the templateLabel[2][0] templateTitle[6] , while templateLabel[2][0] templateLabel[2][1] and amounted to templateValue[2][last] templateScale U.S. dollars .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] templateTitle[4] templateYLabel[5] in templateTitleSubject[0] templateTitle[7] as of 2018 . During that month , templateYValue[2] templateScale templateYLabel[5] in templateXValue[2] accessed online services via templateYLabel[3] device . First-ranked templateXValue[0] accounted for templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] network templateYLabel[5] .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at approximately templateYValue[idxmax(X)] templateScale .
templateYLabel[0] templateYLabel[1] templateYLabel[2] include templateYLabel[0] templateYLabel[1] management and other client templateYLabel[0] on which the bank earns fees for advisory and other services . templateTitleSubject[0] supervised templateYValue[max] templateScale templateYLabel[4] templateYLabel[5] in templateYLabel[0] in templateXValue[idxmax(Y)] , up from templateYValue[min] templateScale templateYLabel[4] templateYLabel[5] in templateXValue[idxmin(Y)] . templateTitleSubject[0] within the banking industry Headquartered in New York City , templateTitleSubject[0] is one of the largest banks worldwide , by market capitalization .
This statistic shows the average amount of templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] generated templateYLabel[0] person templateYLabel[0] templateYLabel[5] between templateXValue[min] and templateXValue[max] . In the templateTitle[0] , an average of templateYValue[max] templateYValue[idxmax(X)] of templateTitle[1] templateTitle[2] templateTitle[3] were generated daily templateYLabel[0] person in templateXValue[max] . templateTitle[1] templateTitle[2] templateTitle[3] templateYLabel[2] in the United StatesNon-hazardous templateTitle[3] consists of industrial templateTitle[3] and templateTitle[1] templateTitle[2] templateTitle[3] .
The statistic shows the templateTitle[2] templateYLabel[0] of the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In the last reported templateXLabel[0] , the templateTitleSubject[0] 's dating templateYLabel[0] amounted to templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] . Up until early 2020 , the templateTitleSubject[0] belongs to IAC and includes online dating platforms such as the eponymous Match.com , OkCupid , Tinder , PlentyofFish and others .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] of templateTitle[4] in templateTitleSubject[0] in templateTitleDate[min] and templateTitleDate[max] . In the first templateLabel[0][0] of templateTitleDate[max] , the templateTitle[1] templateTitle[2] templateTitle[3] for templateTitle[4] in templateTitleSubject[0] in the country was templateValue[2][max] U.S. dollars .
This statistic shows the templateTitle[0] templateTitle[1] templateYLabel[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitleSubject[0] in templateTitleDate[0] . In templateTitleDate[0] , the templateTitle[0] templateTitle[1] templateYLabel[2] templateTitle[3] of templateTitleSubject[0] was templateXValue[0] , with a templateYLabel[0] of templateYValue[max] templateScale in exports .
In templateXValue[max] , the templateYLabel[0] of German templateYLabel[1] templateYLabel[2] amounted to templateYValue[idxmax(X)] templateScale , an templatePositiveTrend compared to the previous templateXLabel[0] at templateYValue[1] templateScale . This templateYLabel[0] has only been templatePositiveTrend in recent years . Considering current German population numbers stand at almost 83 templateScale , such a high templateYLabel[0] of templateYLabel[1] templateYLabel[2] is significant in itself and also for predicting future trends on digitalization and online connectivity in the country .
The statistic shows the templateTitle[6] of the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] from templateValue[0][last] to templateValue[0][0] , templateTitle[4] templateTitle[5] . In templateValue[0][0] , the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] of the templateTitleSubject[0] generated approximately templateValue[4][last] templateScale U.S. dollars . The templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] and templateTitle[6] templateLabel[1][2] templateTitleSubject[0] templateTitle[1] is a templateTitle[9] of around templateValue[3][0] templateScale U.S. dollars .
This statistic shows the templateTitle[1] templateYLabel[0] of templateTitleSubject[0] Corporation between the fiscal templateXLabel[0] of templateXValue[min] and the fiscal templateXLabel[0] of templateXValue[max] . For the fiscal templateXLabel[0] of templateXValue[max] , the Cincinnati-based specialized facility services company reported an templateTitle[1] templateYLabel[0] of just under templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] .
The statistic shows the templateXLabel[0] templateTitle[1] programs with the most templateYLabel[1] in the templateTitleSubject[0] templateTitle[1] templateYLabel[0] ( Madness , Big Dance ) . The templateTitle[1] team of templateXValue[3] has participated templateYValue[2] times in the templateYLabel[0] up to templateTitleDate[max] .
The statistic shows the templateYLabel[0] of templateYLabel[1] in the templateTitle[1] templateTitle[2] templateTitle[3] worldwide from templateXValue[last] to templateXValue[0] . In templateXValue[0] , the total templateYLabel[0] of templateYLabel[1] in the templateTitle[1] templateTitle[2] templateTitle[3] was at over templateYValue[min] templateScale .
The statistic shows the templateTitle[0] of templateTitle[1] templateTitle[2] in the templateTitleSubject[0] from templateValue[0][0] to templateValue[0][last] , templateTitle[7] the templateTitle[8] of the templateTitle[9] . In templateValue[0][0] , templateValue[5][0] marathons took place in the templateTitleSubject[0] .
This statistic shows the templateYLabel[0] of templateTitle[0] users who have accessed templateTitleSubject[0] to consume templateTitle[4] as of templateTitleDate[0] , sorted templateTitle[7] templateXLabel[0] . During the survey period , templateYValue[7] templateScale of templateYLabel[1] from the templateXValue[2] said that they had used templateTitleSubject[0] templateTitle[3] templateTitle[4] .
This statistic shows the templateTitle[4] of templateTitle[1] templateTitle[2] templateTitle[3] from templateValue[0][last] to templateValue[0][0] In templateValue[0][last] , templateTitle[1] templateTitle[2] templateTitle[3] accounted for templateValue[1][last] templateScale of all templateTitleSubject[0] templateTitle[1] data templateTitle[3] . This templateTitle[4] is projected to grow to templateValue[1][0] templateScale in templateValue[0][0] at a CAGR of 60 templateScale . templateTitle[1] templateTitle[2] templateTitle[3] includes video streaming , audio streaming , online gaming , social networking , web browsing and online storage .
The statistic shows data on the templateTitle[2] templateYLabel[0] generated by templateTitleSubject[0] Media , Inc. in the fiscal periods between 2006 and 2017 . In the fiscal year which ended 31 , templateXValue[1] , templateTitleSubject[0] generated templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] in templateTitle[2] templateYLabel[0] , the first time that the templateYLabel[0] has exceeded templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] .
The statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at about templateYValue[idxmax(X)] templateScale . Trade in templateTitleSubject[0] is a templatePositiveTrend market and recognized as one of the world 's newest industrialized countries .
This statistic shows the total annual templateYLabel[0] on templateTitle[0] and furnishings in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] , based on volume . In templateXValue[max] , templateTitleSubject[1] households purchased approximately 19.1 templateScale British pounds worth of templateTitle[0] and furnishings , an templatePositiveTrend on the previous templateXLabel[0] of roughly one and a half templateScale British pounds . According to results of the templateXValue[1] Statista Global Consumer survey , 24 templateScale of templateTitleSubject[1] consumers have bought templateTitle[0] and household goods online in the last 12 months , while 33 templateScale claim to mostly look online for information about these products .
This statistic presents the templateTitle[2] of templateTitle[1] in the templateTitle[0] from templateValue[0][last] to templateValue[0][0] , broken down templateTitle[3] templateTitle[1] templateTitle[4] . In templateValue[0][0] , the templateTitle[2] of templateLabel[1][0] and templateLabel[1][1] templateLabel[1][2] templateTitle[1] is estimated to stand at templateValue[1][last] templateTitleSubject[0] dollars per ton .
The timeline shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[5] in the templateTitle[0] from templateXValue[min] to templateXValue[max] . According to the report , the templateTitleSubject[0] templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[5] amounted to approximately templateYValue[idxmax(X)] templateYLabel[3] in templateXValue[max] .
templateLabel[2][0] is the largest source of templateTitle[2] for templateTitleSubject[0] . In 2018/2019 , the club earned approximately templateValue[2][0] templateScale euros from templateLabel[2][0] , more than triple than in 2010/2011 . The second biggest templateTitle[2] templateTitle[4] is the templateLabel[3][0] one .
This statistic shows the templateTitle[4] of templateTitle[1] templateTitle[2] templateTitle[3] in the templateTitleSubject[0] ( templateTitleSubject[1] ) from templateTitleDate[min] to templateTitleDate[max] , templateTitle[9] templateLabel[0][0] . The templateTitle[1] of those templateLabel[2][0] templateTitle[1] templateTitle[2] templateTitle[3] was templateValue[1][last] templateScale in the same templateLabel[0][0] of templateTitleDate[max] .
The statistic shows the templateYLabel[0] templateYLabel[1] of the sports company templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . templateTitleSubject[0] had a templateYLabel[0] templateYLabel[1] of templateYValue[idxmax(X)] templateScale templateYLabel[3] templateYLabel[4] in templateXValue[idxmin(Y)] .
The statistic depicts the templateYLabel[0] of the templateTitleSubject[0] , a franchise of the National Football League , from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of the templateTitleSubject[0] was templateYValue[max] templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
This graph depicts the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] Chiefs from the National Football League from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] came to templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] . The templateTitleSubject[0] Chiefs are owned by the Lamar Hunt family , who bought the templateYLabel[0] in 1960 .
From templateXValue[min] to templateXValue[max] , the templateTitle[1] templateYLabel[0] of templateYLabel[1] in templateTitleSubject[0] has been templatePositiveTrend , reaching templateYValue[idxmax(X)] in templateXValue[idxmax(Y)] compared to templateYValue[idxmin(X)] templateYLabel[1] fifteen years earlier . This templatePositiveTrend has also been seen in the death rate in templateTitleSubject[0] . Over the same time period , the death rate in the country went from 8.3 per 1,000 inhabitants , up to 9.2 in templateXValue[max] .
This statistic shows the templateTitleSubject[0] templateTitle[1] templateTitle[2] in the templateTitle[3] as rated according to the templateYLabel[0] templateYLabel[1] for templateTitleDate[0] . In templateTitleDate[0] , the templateTitleSubject[0] templateTitle[1] templateXLabel[0] in the templateTitle[3] was considered to be templateXValue[0] with a templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateYValue[max] . Quality of life around the templateTitle[3] The economic indicator , templateYLabel[0] templateYLabel[1] was created by Arthur Okun .
This statistic shows the total annual templateYLabel[0] on templateTitle[0] and furnishings in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] , based on volume . In templateXValue[max] , templateTitleSubject[1] households purchased approximately 19.1 templateScale British pounds worth of templateTitle[0] and furnishings , an templatePositiveTrend on the previous templateXLabel[0] of roughly one and a half templateScale British pounds . According to results of the templateXValue[1] Statista Global Consumer survey , 24 templateScale of templateTitleSubject[1] consumers have bought templateTitle[0] and household goods online in the last 12 months , while 33 templateScale claim to mostly look online for information about these products .
The timeline shows the templateTitle[0] templateYLabel[0] of templateTitleSubject[0] ! in the period from the first templateXLabel[0] of templateTitleDate[min] to the first templateXLabel[0] of templateTitleDate[max] . In the most recently reported templateXLabel[0] , templateTitleSubject[0] 's GAAP templateYLabel[0] amounted to templateYValue[0] templateScale templateYLabel[2] templateYLabel[3] .
The statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[3] templateYLabel[4] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , templateYValue[idxmin(X)] templateScale people accessed the templateYLabel[3] through their templateYLabel[1] templateYLabel[2] . In templateXValue[max] , this figure is projected to amount to templateYValue[idxmax(X)] templateScale templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This statistic shows the templateYLabel[0] templateYLabel[1] in the templateTitleSubject[0] from templateTitleDate[min] to templateTitleDate[max] . In templateTitleDate[min] , this templateYLabel[1] stood at templateYValue[last] templateScale . templateYLabel[0] templateYLabel[1] stood at templateYValue[min] templateScale in templateTitleDate[max] .
This statistic shows the templateTitle[1] templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . For instance , templateYValue[idxmax(X)] templateScale of templateTitleSubject[0] 's templateYLabel[1] lived below the templateTitle[1] line in templateXValue[max] .
This statistic shows the templateTitleSubject[0] of templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] from templateValue[0][last] to templateValue[0][0] , broken down templateTitle[7] templateTitle[8] . In templateValue[0][0] , the templateLabel[1][0] templateLabel[2][1] templateLabel[1][1] monetization generated templateValue[1][4] templateScale U.S. dollars in templateTitle[0] templateTitle[4] , while templateLabel[2][0] templateLabel[2][1] templateTitle[4] amounted to templateValue[2][4] templateScale that same templateLabel[0][0] .
The statistic shows the templateTitle[2] of templateTitleSubject[0] developers templateTitle[3] from templateValue[0][last] to templateValue[0][0] , broken down templateTitle[6] templateTitle[7] . In templateValue[0][0] , templateValue[1][0] templateScale of responding templateTitleSubject[0] developers were templateLabel[1][0] , while templateValue[2][0] templateScale were templateLabel[2][0] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] of templateTitle[4] in templateTitleSubject[0] in templateTitleDate[min] and templateTitleDate[max] . In the first templateLabel[0][0] of templateTitleDate[max] , the templateTitle[1] templateTitle[2] templateTitle[3] for templateTitle[4] in templateTitleSubject[0] was templateValue[2][max] U.S. dollars , up from templateValue[1][min] dollars the previous templateLabel[0][0] .
This statistic gives information on the most popular multi-platform templateTitle[1] templateTitle[3] templateXValue[3] as of 2019 . During the measured period , templateXValue[0] had approximately templateYValue[max] templateScale global templateYLabel[1] on the social network , followed templateTitle[6] templateXValue[1] with about templateYValue[1] templateScale followers .
This statistic shows the templateScale of templateTitleSubject[0] templateYLabel[1] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] templateTitle[7] templateXLabel[1] in templateTitleDate[0] , by the templateXLabel[0] of templateXLabel[1] . templateYValue[max] templateScale of templateYLabel[1] with templateXValue[last] and templateXValue[last] templateXLabel[1] used templateTitle[4] templateTitle[5] templateTitle[6] in templateTitleDate[0] .
This statistic shows the leading 15 templateXLabel[0] models according to the Auto Express Driver Power templateTitleDate[0] survey responses templateTitle[3] on templateXLabel[0] templateTitle[4] templateTitle[5] . The survey was carried templateYLabel[1] by the British automotive magazine online between 2014 and 2015 . templateXValue[0] dominated this category securing the top three spots with the templateXValue[0] , templateXValue[1] , and templateXValue[1] templateXValue[2] models as well as having three other models in the top 15 .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in the templateTitleSubject[0] templateTitleDate[min] - templateTitleDate[max] , templateTitle[7] templateTitle[8] . templateValue[1][last] templateScale of the Dutch respondents aged 16 or 17 templateValue[0][0] reported that they believe templateTitle[2] templateTitle[3] are a templateLabel[1][0] .
This statistic shows the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] scores of templateTitleSubject[1] in the templateTitle[5] from templateXValue[min] to templateXValue[max] . templateTitleSubject[1] had an templateYLabel[0] templateYLabel[1] of templateYValue[idxmax(X)] in templateXValue[max] , down from templateYValue[1] points the previous templateXLabel[0] .
This statistic shows the templateTitle[0] in templateTitleSubject[0] from templateValue[0][last] to templateValue[0][0] , templateTitle[4] templateTitle[5] . The number of male and female inhabitants were quite close to each other in the whole period . In the templateLabel[0][0] templateValue[0][0] , there were about templateValue[1][0] templateScale men and templateValue[2][0] templateScale women living in templateTitleSubject[0] .
The statistic shows the total templateYLabel[0] of templateTitleSubject[0] templateTitle[2] templateTitle[3] templateTitle[4] in the templateTitle[5] from templateXValue[min] to templateXValue[max] . In templateXValue[10] , there were templateYValue[10] such templateTitle[2] templateTitle[3] templateTitle[4] . As of templateXValue[max] the templateYLabel[0] templatePositiveTrend to some templateYValue[idxmax(X)] .
This graph depicts the templateYLabel[0] templateYLabel[1] templateYLabel[2] for templateTitleSubject[0] games of the National Basketball Association from templateXValue[last] to templateXValue[0] . In the templateXValue[last] season , the templateYLabel[0] templateYLabel[1] templateYLabel[2] was templateYValue[max] templateYLabel[3] templateYLabel[4] .
The timeline shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[5] in the templateTitle[0] from templateXValue[min] to templateXValue[max] . According to the report , the templateTitleSubject[0] templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[5] amounted to approximately templateYValue[idxmax(X)] templateYLabel[3] in templateXValue[max] .
This statistic shows the templateYLabel[0] of templateYLabel[1] at templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . templateTitleSubject[0] Corporation is one of the largest U.S. oil and gas production companies . In templateXValue[max] , the company had approximately templateYValue[idxmax(X)] templateYValue[idxmax(X)] .
The statistic shows the templateYLabel[1] in real templateYLabel[0] in templateTitleSubject[0] from between templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , templateTitleSubject[0] 's real templateTitle[0] templateTitle[1] templateTitle[2] templatePositiveTrend by around templateYValue[6] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic shows the templateTitle[0] of templateTitle[1] at templateTitleSubject[0] templateTitle[2] geography from templateValue[0][last] to templateValue[0][0] , templateTitle[7] templateTitle[8] . templateTitleSubject[0] templateTitle[2] templateTitleSubject[0] is a multi-national company , specialized on pharmaceuticals , medical devices and Corporate . The company is headquartered in New Brunswick , New Jersey .
This statistic shows the highest-grossing templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] worldwide in 2019 , based on the templateYLabel[0] they manage . The firm templateXValue[0] was the templateTitle[3] templateTitle[4] templateTitle[5] firm with templateYLabel[0] templateYLabel[1] templateXValue[1] worth a total of templateYValue[max] templateScale templateYLabel[4] templateYLabel[5] .
This graph depicts the templateYLabel[0] templateYLabel[1] templateYLabel[2] for templateTitleSubject[0] games in the National Football League from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] templateYLabel[2] was templateYValue[idxmax(X)] templateYLabel[3] templateYLabel[4] .
This statistic shows the total templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitle[2] in 2010 , sorted templateTitle[5] templateTitle[6] , in templateXLabel[3] templateXLabel[4] of templateXLabel[0] templateXLabel[1] templateXLabel[2] . In 2010 , there were templateYValue[1] templateYLabel[1] templateYLabel[2] operating within the templateTitle[2] with between templateXValue[0] and templateXValue[1] templateXLabel[3] templateXLabel[4] of templateXLabel[0] templateXLabel[1] templateXLabel[2] .
The statistic shows the number of templateTitleSubject[0] templateTitle[1] from templateValue[0][last] to templateValue[0][0] . At the end of templateValue[0][0] , templateValue[2][0] templateScale people were templateLabel[2][0] templateLabel[2][1] templateTitle[1] . templateLabel[2][0] templateLabel[2][1] templateLabel[2][2] are people or groups of individuals who have been forced to leave their homes or places of habitual residence , and who have not crossed an international border .
This statistic shows the templateTitle[1] templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . For instance , templateYValue[idxmax(X)] templateScale of templateTitleSubject[0] 's templateYLabel[1] lived below the templateTitle[1] line in templateXValue[max] .
This statistic shows that the templateTitle[0] templateYLabel[0] of templateYLabel[1] ( ALOS ) in templateTitleSubject[0] templateTitle[4] templateTitle[5] from templateXValue[min] to templateXValue[max] . In templateXValue[14] , a hospital templateYLabel[1] in the templateTitle[3] had an templateTitle[0] templateYLabel[0] of templateYValue[14] templateYLabel[2] . Since then , there was no significant change in the templateYLabel[0] of templateYLabel[1] .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[0] in the templateTitle[4] in templateTitleDate[0] , templateTitle[5] templateYLabel[0] . According to the estimates , templateXValue[0] was the templateTitle[0] templateTitle[1] templateTitle[2] chain in the templateTitle[4] with a templateYLabel[0] of templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] .
In templateXValue[6] , the templateYLabel[1] in real templateTitle[0] templateTitle[1] templateTitle[2] ( templateYLabel[0] ) in templateTitleSubject[0] was up 5.1 templateScale from the templateXLabel[0] before , continuing a trend of positive templateYLabel[1] in templateYLabel[0] . It is projected that templateTitleSubject[0] 's real templateYLabel[0] will grow through templateXValue[max] , though at a declining templateTitle[5] to around templateYValue[idxmax(X)] templateScale . In templateXValue[6] , templateTitleSubject[0] 's templateYLabel[0] reached over 586 templateScale U.S. dollars .
This statistic shows the consumer templateTitle[1] on templateTitle[0] templateTitle[7] product templateTitle[8] in the templateTitleSubject[0] ( templateTitleSubject[1] ) from templateValue[0][0] to templateValue[0][2] , with a forecast estimate for templateValue[0][last] . In each templateLabel[0][0] during this period , templateTitle[1] on templateTitle[0] templateLabel[1][0] was the highest across the various categories , at an estimated templateValue[1][last] templateScale British pounds in templateValue[0][last] . In comparison , templateLabel[2][0] templateTitle[1] was estimated at templateValue[2][last] templateScale pounds that same templateLabel[0][0] , while templateTitle[1] on templateLabel[3][0] and templateLabel[4][0] was forecast to reach templateValue[3][last] templateScale pounds and templateValue[4][last] templateScale pounds , respectively .
This statistic shows the templateTitle[0] templateTitle[1] of templateTitleSubject[0] inhabitants from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , about templateValue[1][0] templateScale of inhabitants were aged 0 to 14 years , while approximately templateValue[2][0] templateScale were aged 15 to 64 , and templateValue[3][0] templateScale of templateTitleSubject[0] inhabitants were aged templateLabel[3][1] or older .
This statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of the templateTitleSubject[0] templateTitle[3] templateTitle[4] templateTitle[5] from templateXValue[min] to templateXValue[max] . Until templateXValue[20] , the templateTitle[5] did not reach a templateYLabel[3] better than templateYValue[20] . Rank templateYValue[max] was the lowest result of the templateTitle[5] , which was reached in templateXValue[idxmax(Y)] .
The statistic presents a ranking of the leading templateTitle[3] of the templateTitle[4] templateTitle[5] templateTitle[6] of templateTitleSubject[0] as of 2019 , based on templateYLabel[0] templateYLabel[1] . As of 2019 , the Colombian attacking midfielder templateXValue[0] was the templateTitle[1] templateTitle[2] templateXLabel[0] in the templateTitle[4] templateTitle[6] , with a templateYLabel[0] templateYLabel[1] of approximately templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] . Davidson templateXValue[1] ranked second , with a templateYLabel[1] of over templateYValue[1] templateScale templateYLabel[4] .
The statistic shows templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) denotes the aggregate value of all services and goods produced within a country in any given templateXLabel[0] . templateTitle[3] is an important indicator of a country 's economic power .
The timeline shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[5] templateTitle[6] in the templateTitle[0] from templateXValue[min] to templateXValue[max] . According to the report , the templateTitleSubject[0] templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[5] templateTitle[6] amounted to about templateYValue[max] templateYLabel[3] in templateXValue[idxmax(Y)] .
This statistic shows the total templateTitleSubject[0] ( UK ) templateTitle[4] templateYLabel[0] templateYLabel[1] templateYLabel[2] from fiscal templateXLabel[0] templateXValue[last] to fiscal templateXLabel[0] templateXValue[0] . The overall trend was one of templatePositiveTrend , seeing a peak in templateXValue[0] with 27.99 templateScale British pounds and a total rise of over 5 templateScale British pounds throughout this period .
This statistic shows the change of a survey among adult Americans on whether they rate in templateTitle[5] in templateTitleSubject[0] member templateTitle[7] as of 2014 . During the survey , templateValue[1][1] templateScale of respondents stated that they shopped templateValue[0][1] via PC or laptop .
This graph shows the templateXValue[0] templateYLabel[1] templateYLabel[2] to the Gross Domestic Product ( templateTitle[1] ) of templateTitleSubject[0] in templateTitleDate[0] , templateTitle[3] templateXLabel[0] . In templateTitleDate[0] , the templateXValue[8] templateXLabel[0] templateYLabel[2] templateYValue[8] templateScale templateYLabel[4] 2012 templateYLabel[6] templateYLabel[7] of templateYLabel[1] to the state templateTitle[1] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] networking templateTitle[4] in selected templateTitleSubject[0] templateTitle[6] , based on user figures . As of 2013 , Facebook was the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in templateXValue[13] with templateYValue[13] templateScale templateYLabel[1] templateYLabel[2] .
templateValue[0][0] was the leading templateLabel[0][0] with the largest stock of templateTitle[1] vehicles in all three years here recorded . The total number of templateTitle[0] templateTitle[1] templateTitle[2] in templateTitleSubject[0] stood at 286.8 templateScale units in templateTitleDate[max] , of which templateValue[0][0] accounted for 46.5 templateScale . With the greatest population among all European countries and home to a prominent number of automobile manufacturers , this was unsurprising .
This graph depicts the templateYLabel[0] templateYLabel[1] templateYLabel[2] for templateTitleSubject[0] games in the National Football League from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] templateYLabel[2] was at templateYValue[idxmax(X)] templateYLabel[3] templateYLabel[4] .
This statistic provides a comparison of the templateTitle[0] amount of templateLabel[0][2] templateTitle[4] on templateTitle[5] housework by gender in templateTitleSubject[0] member templateTitle[8] as well as templateValue[0][21] , templateValue[0][2] and templateValue[0][12] . As of templateTitleDate[0] , Portuguese men templateTitle[4] templateValue[1][3] templateTitle[1] templateTitle[2] templateTitle[3] on unpaid templateTitle[6] on templateTitle[0] while for women the templateTitle[0] was templateValue[2][3] templateTitle[1] .
The templateYLabel[0] of the Italian high-end jewelry company templateTitleSubject[0] templatePositiveTrend almost twofold from templateXValue[min] to templateXValue[max] . The peak was reached in templateXValue[1] , when templateTitleSubject[0] 's annual templateYLabel[0] amounted to approximately templateYValue[max] templateScale templateYLabel[2] . In templateXValue[max] the templateYLabel[0] templateNegativeTrend to templateYValue[0] templateScale templateYLabel[2] .
The statistic shows the templateYLabel[0] of templateYLabel[1] to templateTitleSubject[0] in templateTitleDate[0] , templateTitle[4] top 20 countries of templateTitle[6] . Most of the templateYLabel[1] came to templateTitleSubject[0] from templateXValue[0] , amounting to templateYValue[max] people . The second and third most popular countries of templateTitle[6] were the neighbouring countries , templateXValue[1] with templateYValue[1] people , and templateXValue[2] with nearly templateYValue[2] thousand people .
This statistic displays the templateTitle[0] of templateTitle[1] templateTitle[2] in the templateTitleSubject[0] ( templateTitleSubject[1] ) from the third templateXLabel[0] of templateXValue[26] to the third templateXLabel[0] of templateXValue[0] . In the third templateXLabel[0] of templateXValue[0] , templateTitle[0] templateTitle[1] templateTitle[2] generated a templateYLabel[0] of templateYValue[0] templateScale British pounds .
According to a survey conducted by the Organization for Economic Cooperation and Development ( OECD ) , the templateYLabel[0] of templateYLabel[1] in templateTitleSubject[0] steadily templateNegativeTrend between the years templateXValue[min] and templateXValue[4] , going from templateYValue[idxmin(X)] to templateYValue[min] within twelve years . Nevertheless , this trend was abruptly reverted during the first templateXLabel[0] of the Hollande Presidency : the templateYLabel[0] of templateYLabel[1] jumped from templateYValue[min] in templateXValue[idxmin(Y)] to templateYValue[max] in templateXValue[idxmax(Y)] . The templateYLabel[0] of Public templateYLabel[1] in templateTitleSubject[0] have templatePositiveTrend during Hollande 's presidency During the first templateXLabel[0] of the former French president François Hollande Presidency , the templateYLabel[0] of publicly owned templateYLabel[1] in templateTitleSubject[0] also templatePositiveTrend at an abrupt pace , going from 928 in templateXValue[4] to 1,458 templateYLabel[1] in templateXValue[3] .
The statistic shows the templateYLabel[2] templateTitle[4] templateTitle[5] templateYLabel[0] templateTitle[7] at the templateTitleSubject[0] Games templateTitle[5] templateXValue[last] to templateXValue[0] . The templateXValue[0] templateTitleSubject[0] in templateXValue[0] de Janeiro templateTitle[4] about templateYValue[0] templateScale templateYLabel[4] templateYLabel[5] in templateYLabel[1] revenues .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in templateTitleSubject[0] in templateTitleDate[0] , templateTitle[6] templateLabel[0][0] . In that year , the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] of templateTitle[6] in templateTitleSubject[0] templateTitle[6] amounted to templateValue[1][7] templateYLabel[1] templateYLabel[2] .
This statistic shows the templateTitle[0] templateTitle[1] of templateTitleSubject[0] in templateTitleSubject[1] from templateValue[0][last] to templateValue[0][0] , templateTitle[8] templateTitle[9] templateTitle[10] . In templateValue[0][0] , the templateTitleSubject[0] Corporation generated templateValue[1][last] templateScale of its total templateTitle[0] templateTitle[5] its templateLabel[1][0] templateLabel[1][1] templateTitle[9] templateTitle[10] .
This statistic shows the templateTitle[0] of templateTitleSubject[0] from templateValue[0][last] to templateValue[0][0] , templateTitle[4] templateTitle[5] templateTitle[6] . In templateValue[0][0] , the largest templateTitle[5] templateTitle[6] of inhabitants consisted of people aged 25 to 34 templateLabel[1][1] old , reaching almost 1.5 templateScale . The second largest templateTitle[5] templateTitle[6] were 45 to 54 templateLabel[0][0] olds , reaching about 1.3 templateScale .
This statistic shows the templateTitle[0] templateTitle[1] of templateTitleSubject[0] inhabitants from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , about templateValue[1][0] templateScale of inhabitants were aged 0 to 14 years , while approximately templateValue[2][0] templateScale were aged 15 to 64 , and templateValue[3][0] templateScale of templateTitleSubject[0] inhabitants were aged templateLabel[3][1] or older .
The statistic shows the templateTitle[2] of templateTitleSubject[1] templateTitle[4] templateTitle[5] ( social media ) of the NFL franchise templateTitleSubject[0] templateTitle[1] from 2012 to 2019 . In 2019 , the templateTitleSubject[1] page of the templateTitleSubject[0] templateTitle[1] football team had templateValue[1][0] templateScale templateLabel[1][1] .
This statistic shows the templateScale of the total templateTitleSubject[0] templateYLabel[0] templateTitle[3] in 2018/2019 , by templateXLabel[0] . In that year , The templateXValue[0] ' templateTitle[1] is expected to amount to around templateYValue[max] templateScale templateYLabel[2] .
This statistic shows the templateTitle[0] ten templateTitle[1] in templateXValue[0] templateTitle[3] on templateTitle[4] templateTitle[5] in the templateTitle[6] as forecasted by professional chefs for templateTitleDate[0] . During the survey , templateYValue[max] templateScale of the templateYLabel[1] stated that templateXValue[3] templateXValue[0] was a `` hot trend '' for templateTitle[4] templateTitle[5] in templateTitleDate[0] .
This statistic shows the templateYLabel[0] of templateTitleSubject[0] hotels templateTitle[4] from templateXValue[min] to templateXValue[max] . There were templateYValue[idxmax(X)] templateTitleSubject[0] hotels templateTitle[4] as of 1 , templateXValue[5] , up from templateYValue[4] at the same time the previous templateXLabel[0] .
The statistic shows the templateXLabel[0] templateTitle[1] programs with the most templateYLabel[1] in the templateTitleSubject[0] templateTitle[1] templateYLabel[0] ( Madness , Big Dance ) . The templateTitle[1] team of templateXValue[3] has participated templateYValue[2] times in the templateYLabel[0] up to templateTitleDate[max] .
This statistic provides information regarding the templateTitleSubject[0] of templateTitle[1] templateTitle[2] templateValue[0][1] templateValue[0][0] templateTitle[5] templateTitle[6] templateTitle[7] templateTitle[8] templateTitle[9] . The survey revealed that templateValue[1][0] templateScale of the respondents templateLabel[1][0] purchase templateValue[0][0] products templateTitle[6] .
This statistic shows the ten countries with the most templateYLabel[1] resulting templateTitle[2] templateTitle[3] between 1900 and templateTitleDate[0] . Total templateYValue[max] people were killed due to templateTitle[3] in templateXValue[0] . Fatalities around the world The leading causes of templateTitleSubject[0] worldwide for humans in 2012 were ischaemic heart diseases , with 7.4 templateScale templateYLabel[1] and strokes , with 6.7 templateScale templateYLabel[1] .
This statistic depicts the templateTitle[0] of templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in the templateTitle[5] from templateValue[0][last] to templateValue[0][0] , templateTitle[8] templateTitle[9] . In templateValue[0][1] , templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in the templateTitle[5] amounted to approximately templateValue[1][0] templateScale templateTitle[5] dollars .
This statistic shows the templateTitle[0] of templateTitle[1] templateTitle[2] in templateTitleSubject[0] in templateValue[0][last] and templateValue[0][0] , templateTitle[6] templateTitle[7] . In templateValue[0][last] , templateLabel[1][0] templateLabel[1][1] automobiles and templateLabel[1][4] generated a templateTitle[0] of templateValue[1][last] templateScale in the total templateTitle[2] in templateTitleSubject[0] .
This statistic shows the ten templateTitleSubject[0] templateTitle[2] with the highest amount of templateTitle[4] templateTitle[5] from templateTitleDate[min] to templateTitleDate[max] . templateValue[0][0] , was the leading producer , where 40.4 templateScale pounds of templateTitle[4] were produced in templateTitleDate[max] . templateTitle[4] templateTitle[5] Dairy farming is an agricultural business which is engaged in the long-term templateTitle[4] templateTitle[5] within the dairy industry .
This statistic shows the templateTitle[0] templateYLabel[0] in the templateTitleSubject[0] from templateXValue[min] to templateXValue[4] , with projections up until templateXValue[max] . In templateXValue[2] , the templateYLabel[0] of the templateTitleSubject[0] amounted to around templateYValue[1] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic shows the templateValue[0][6] templateTitle[2] templateTitle[3] templateTitle[4] ( templateTitle[0] ) in templateTitleSubject[0] in templateTitleDate[min] and templateTitleDate[max] . In templateTitleDate[max] , templateTitle[3] templateTitle[4] in the templateValue[0][3] amounted to some templateValue[5][3] templateScale metric tons . Thus , the templateValue[0][3] is among the global top three templateTitle[3] producers .
The statistic shows the templateTitleSubject[0] templateYLabel[0] templateTitle[2] templateTitle[3] device templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitleSubject[0] templateYLabel[0] templateTitle[2] templateTitle[3] templateTitle[4] stood at templateYValue[7] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] templateYLabel[5] templateYLabel[6] .
This statistic shows templateTitleSubject[0] templateYLabel[1] in templateYLabel[2] templateTitle[3] templateYLabel[3] templateYLabel[4] from templateXValue[min] to templateXValue[max] . templateTitle[3] templateYLabel[3] templateYLabel[4] were forecasted to templatePositiveTrend by templateYValue[idxmax(X)] templateScale in templateXValue[max] . The templateYLabel[2] daily rate of the templateYLabel[3] industry in the Americas reached around 123.37 U.S. dollars in templateXValue[2] .
The statistic shows the templateXLabel[0] templateTitle[1] programs with the most templateYLabel[1] in the templateTitleSubject[0] templateTitle[1] templateYLabel[0] ( Madness , Big Dance ) . The templateTitle[1] team of templateXValue[3] has participated templateYValue[2] times in the templateYLabel[0] up to templateTitleDate[max] .
This statistic shows the templateTitle[0] templateTitle[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . The templateTitle[0] templateTitle[1] is the average templateYLabel[0] of templateYLabel[1] a templateYLabel[4] will have during her child-bearing years . In templateXValue[max] , the templateTitle[0] templateTitle[1] of templateTitleSubject[0] 's population was templateYValue[idxmax(X)] templateYLabel[1] templateYLabel[3] templateYLabel[4] .
This statistic shows the templateYLabel[0] of templateTitle[2] templateYLabel[1] at templateTitle[3] establishments in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of templateYLabel[1] in travel templateTitle[3] ( including both international and domestic tourists ) amounted to approximately templateYValue[idxmax(X)] templateScale .
The statistic shows the templateTitle[1] templateTitle[2] of templateTitle[3] templateTitle[4] in templateTitleSubject[0] from templateValue[0][last] to templateValue[0][0] , templateTitle[5] templateTitle[6] . For templateValue[0][0] , the templateTitle[1] templateTitle[2] of templateLabel[1][0] templateTitle[3] templateTitle[4] in templateTitleSubject[0] is estimated to reach templateValue[1][0] templateScale .
The statistic shows the templateYLabel[0] of templateYLabel[1] templateTitle[2] templateTitle[3] the world 's templateTitle[4] templateTitle[5] templateTitle[3] 1900 to templateTitleDate[0] . The templateXLabel[0] in templateXValue[2] in 1973 claimed templateYValue[2] lives . Natural disasters Natural disasters , such as earthquakes , volcanic eruption , tsunamis , floods , tornados or templateTitle[5] affect people templateTitle[6] .
This statistic shows the templateTitle[0] templateTitle[1] of templateTitleSubject[0] worldwide templateTitle[5] templateValue[0][last] to templateValue[0][0] , by location and ownership type . In templateValue[0][0] , templateTitleSubject[0] generated approximately templateValue[3][0] templateScale U.S. dollars in templateLabel[1][0] templateLabel[3][1] templateTitle[0] templateTitle[1] . templateTitleSubject[0] is owned by Bloomin ' Brands , Inc. , a U.S.-based templateTitle[0] company .
In templateTitleDate[max] , templateValue[0][0] was the biggest templateTitle[3] brand in the templateTitleSubject[0] with a templateTitle[0] templateTitle[1] of close to 40 templateScale . This is a templateNegativeTrend compared to the previous year . Second in the templateTitleSubject[0] was templateValue[0][1] .
The statistic shows the share of templateTitle[1] that have air-conditioning templateTitle[4] in templateTitleDate[0] , templateTitle[6] templateXLabel[0] . templateXValue[0] ranked the highest in air-conditioning templateYLabel[0] templateYLabel[1] , templateTitle[2] around templateYValue[max] templateScale of Japanese templateTitle[1] having some form of air-conditioning .
The statistic shows the degree of templateTitle[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . templateTitle[0] is measured as the proportion of templateYLabel[1] templateYLabel[2] in the total templateYLabel[2] . In templateXValue[max] , around templateYValue[idxmax(X)] templateScale of the Mexican templateYLabel[2] lived in templateYLabel[1] areas .
This statistic depicts the templateTitle[0] templateTitle[1] of templateTitleSubject[0] in the templateTitle[4] templateTitle[5] templateValue[0][last] to templateValue[0][0] , by ownership type . In templateValue[0][0] , templateTitleSubject[0] generated templateValue[2][0] templateScale templateTitle[4] dollars in templateLabel[2][0] templateTitle[0] templateTitle[1] . templateTitleSubject[0] is owned by Bloomin ' Brands , Inc. , a U.S.-based templateTitle[0] company .
This statistic shows the templateTitleSubject[0] templateTitle[1] templateTitle[2] the templateTitle[3] templateYLabel[0] templateTitle[6] from templateTitle[4] as of templateTitleDate[0] . As of this time , templateXValue[0] had the templateTitle[3] templateTitle[4] templateYLabel[0] templateYLabel[1] templateTitle[2] templateYValue[max] deaths templateTitle[2] templateTitle[4] as the underlying cause of templateYLabel[0] templateYLabel[2] templateScale templateYLabel[4] .
The statistic shows a templateTitle[0] of the templateTitleSubject[0] classes in the online computer game templateTitleSubject[0] of templateTitleSubject[0] as of 2019 . Approximately templateValue[1][0] templateScale of all templateTitleSubject[0] templateTitle[4] in U.S. templateLabel[1][1] were Hunters . Overall in terms of templateTitle[7] the majority of players chose Hunters , and as for race , the most popular choice in the series was Human .
The statistic shows the templateTitleSubject[0] of templateTitle[1] templateTitle[4] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][last] , the revenue from smartwatch templateTitleSubject[0] templateTitle[4] amounted to templateValue[1][last] templateScale U.S. dollars .
This statistic shows the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateYLabel[0] templateYLabel[1] in templateXValue[min] , and a forecast for templateXValue[max] . In templateXValue[min] , the templateTitle[1] templateTitle[2] templateYLabel[0] was valued at templateYValue[idxmin(X)] templateScale templateYLabel[3] templateYLabel[4] . templateTitle[1] templateTitle[2] is a type of inflammatory bowel disease ( IBD ) which is characterized by the formation of ulcers in the colon .
This statistic shows the templateTitle[3] templateTitle[4] templateYLabel[0] templateYLabel[1] going to the templateTitle[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[3] templateTitle[4] templateYLabel[0] templateYLabel[1] is expected to be about templateYValue[idxmax(X)] templateScale templateYLabel[3] templateYLabel[4] .
This statistic presents the templateTitle[3] templateTitle[4] of templateTitle[0] and templateTitle[1] to internet users in the templateTitleSubject[0] in templateTitleDate[0] . During the survey , it was found that templateYValue[2] templateScale of templateTitle[6] users had their templateTitle[0] templateTitle[1] templateXValue[5] added to their templateXValue[5] .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in templateTitle[3] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[idxmax(X)] templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] . Gambling in templateTitleSubject[0] - additional information The templateYLabel[0] of templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] templatePositiveTrend by more than 2,000 between 2007 and templateXValue[1] .
According to a third quarter templateTitleDate[0] survey , templateYValue[max] templateScale of templateXValue[0] internet users in the templateTitleSubject[0] used templateTitle[0] . The video platform had a templateTitle[1] templateYLabel[0] of templateYValue[min] templateScale among templateXValue[last] templateTitle[4] internet users . Overall , 38 templateScale of templateTitle[4] templateTitle[0] users accessed the platform several times a day .
This statistic shows the templateTitle[0] templateTitle[1] the templateTitle[2] templateTitle[3] of templateTitle[4] templateTitle[5] in templateTitleDate[0] . That year , templateXValue[8] had an index templateYLabel[0] of around templateYValue[max] and was tied in first templateTitle[1] nine other templateTitleSubject[0] . templateTitleSubject[0] templateTitle[1] the templateTitle[2] templateTitle[3] of templateTitle[4] templateTitle[5] – additional informationIn today 's culture , many people can not imagine life without templateTitle[4] .
This statistic shows the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateYLabel[0] templateYLabel[1] in templateXValue[min] , and a forecast for templateXValue[max] . In templateXValue[min] , the templateTitle[1] templateTitle[2] templateYLabel[0] was valued at templateYValue[idxmin(X)] templateScale templateYLabel[3] templateYLabel[4] . templateTitle[1] templateTitle[2] is a type of inflammatory bowel disease ( IBD ) which is characterized by the formation of ulcers in the colon .
The statistic depicts the templateYLabel[0] of templateYLabel[1] at templateTitleSubject[0] worldwide from templateXValue[min] to templateXValue[max] . There were templateYValue[idxmax(X)] thousand templateYLabel[1] at templateTitleSubject[0] globally in templateXValue[max] . Employment in the financial sector – additional information The employment trend in global locations of templateTitleSubject[0] has remained quite stable in recent years .
The statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . The amount of the templateYLabel[1] of the templateTitleSubject[0] amounted to around templateYValue[6] templateScale templateYLabel[3] templateYLabel[4] in templateXValue[6] . templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] National templateYLabel[1] in the templateTitleSubject[0] is a topic of much debate and controversy , primarily due to large amounts of unnecessary spending .
The statistic shows the forecast templateTitleSubject[0] templateTitle[1] from templateTitle[2] templateTitle[3] from templateValue[0][last] to templateValue[0][0] . For templateValue[0][1] , the source projects the templateTitle[2] templateTitle[3] templateTitleSubject[0] templateTitle[1] to reach a total amount of around 2.57 templateScale U.S. dollars . templateTitle[2] templateTitle[3] - additional information A templateValue[0][last] Statista survey conducted in the country has asked the question `` Have you ever heard of the term 'virtual templateTitle[3] ' _ ? '' A total of 92 templateScale of respondents have answered positively , awareness being strongest among 30 to 39 year-olds .
This statistic shows the templateXLabel[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the templateTitle[6] in templateTitleDate[0] . The survey revealed that templateYValue[max] templateScale of the templateYLabel[1] templateTitle[1] templateXValue[0] templateXLabel[0] templateTitle[2] templateTitle[3] the templateTitle[0] .
This statistic displays the templateYLabel[0] of templateYLabel[1] templateYLabel[2] 10,000 templateYLabel[4] working in templateTitle[2] templateTitle[4] in Europe in templateTitleDate[0] . In this year , templateXValue[0] had the highest templateYLabel[0] of templateYLabel[1] with templateYValue[max] templateYLabel[1] templateYLabel[2] 10,000 templateYLabel[4] , this was closely followed by templateXValue[1] with templateYValue[1] templateYLabel[1] templateYLabel[2] 10,000 templateYLabel[4] and templateXValue[2] with templateYValue[2] templateYLabel[1] templateYLabel[2] 10,000 templateYLabel[4] . The source provides the information that the professions of Optometry and Optics in Spain and the Nordic templateTitle[4] are combined in templateYValue[14] , as optometrists .
This statistic shows the templateYLabel[0] of templateTitle[2] templateYLabel[1] at templateTitle[3] establishments in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of templateYLabel[1] in travel templateTitle[3] ( including both international and domestic tourists ) amounted to approximately templateYValue[idxmax(X)] templateScale .
The statistic shows the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] in templateTitleDate[min] and templateTitleDate[max] , templateTitle[4] templateTitle[5] templateTitle[6] . templateValue[0][2] and templateValue[0][2] had a templateTitle[6] of templateValue[1][2] templateScale in the global templateTitleSubject[0] templateTitle[1] templateTitle[2] in templateTitleDate[min] . This templateTitle[5] is estimated to templatePositiveTrend to templateValue[2][2] templateScale templateTitle[4] templateTitleDate[max] .
The statistic shows the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , templateYValue[idxmin(X)] templateScale of the templateYLabel[1] users accessed the templateTitle[3] through their templateTitle[1] device . This figure is projected to grow to 59percent in templateXValue[max] .
This statistic gives information on the consolidated number of monthly templateYLabel[0] templateYLabel[2] templateYLabel[3] ( templateTitleSubject[1] ) across templateYLabel[1] 's online shopping properties from the fourth templateXLabel[0] of 2016 to the fourth templateXLabel[0] of templateTitleDate[0] . As of the last templateXLabel[0] of templateTitleDate[0] , templateYLabel[1] 's Chinese e-commerce properties had been accessed by around templateYValue[max] templateScale templateYLabel[2] templateTitleSubject[1] .
This statistic outlines the templateTitle[2] templateTitle[3] of templateTitleSubject[0] from templateTitleDate[min] to templateTitleDate[max] , sorted templateTitle[4] templateTitle[5] . In templateTitleDate[max] , templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] in the U.S. amounted to approximately 1.73 templateScale barrels per day . templateTitleSubject[0] is a templateValue[0][5] States-based multinational oil and gas corporation headquartered in Irving , Texas .
This statistic shows the leading 15 templateXLabel[0] models according to the Auto Express Driver Power templateTitleDate[0] survey responses templateTitle[3] on templateXLabel[0] templateTitle[4] templateTitle[5] . The survey was carried templateYLabel[1] by the British automotive magazine online between 2014 and 2015 . templateXValue[0] dominated this category securing the top three spots with the templateXValue[0] , templateXValue[1] , and templateXValue[1] templateXValue[2] models as well as having three other models in the top 15 .
How many templateTitle[0] templateTitle[1] templateTitle[2] does templateTitleSubject[0] have ? As of the fourth templateXLabel[0] of templateTitleDate[max] , photo and video sharing app templateTitleSubject[0] had templateYValue[max] templateScale templateTitle[0] templateTitle[1] templateTitle[2] worldwide , up from templateYValue[4] templateScale global templateYLabel[1] in the corresponding templateXLabel[0] of 2018 . templateTitleSubject[0] is relevant for teenagers Originally launched in 2011 , templateTitleSubject[0] has become one of the most popular social messaging and photo sharing apps worldwide ; making its CEO and co-founder Evan Spiegel one of the world 's richest social media entrepreneurs . With an estimated templateYValue[min] templateScale monthly templateTitle[1] templateTitle[2] in the country , templateTitleSubject[0] easily ranks among the most popular social apps in the country .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateYLabel[3] templateTitle[2] templateTitle[3] of the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] amounted to templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] .
The statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at about templateYValue[idxmax(X)] templateScale . Trade in templateTitleSubject[0] is a templatePositiveTrend market and recognized as one of the world 's newest industrialized countries .
This statistic shows the degree of templateTitle[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . templateTitle[0] means the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateYLabel[3] templateYLabel[2] of a country . In templateXValue[max] , templateYValue[idxmax(X)] templateScale of templateTitleSubject[0] 's templateYLabel[3] templateYLabel[2] lived in templateYLabel[1] areas and cities .
The statistic depicts the templateTitle[0] templateTitle[1] in templateTitleSubject[0] from templateValue[0][last] to templateValue[0][0] . The templateTitle[0] templateTitle[1] measures the templateScale of people aged 15 and above who can read and write . In templateValue[0][0] , templateTitleSubject[0] 's templateTitle[0] templateTitle[1] was around templateValue[1][0] templateScale .
This statistic illustrates the templateTitle[0] templateYLabel[2] of the templateTitleSubject[0] templateYLabel[0] templateYLabel[1] volume from templateTitle[6] exporters in templateTitleDate[0] . In that year , templateXValue[1] accounted for a templateYLabel[2] of templateYValue[1] templateScale of templateYLabel[0] templateTitle[4] to the templateTitle[2] .
This statistic outlines the templateYLabel[0] of templateYLabel[1] at templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . templateTitleSubject[0] Corporation is one of the largest U.S. oil and gas production companies . In templateXValue[max] , the company had approximately templateYValue[idxmax(X)] templateYValue[idxmax(X)] .
The statistic shows the degree of templateTitle[3] templateTitleSubject[0] in templateTitle[5] templateTitle[6] worldwide . According to the templateTitleSubject[0] Index , templateXValue[last] occupied the last place in templateTitle[3] templateTitleSubject[0] with templateYValue[min] templateYLabel[0] templateYLabel[1] in templateTitleDate[0] . templateXValue[1] and templateXValue[0] were ranked first and second with templateYValue[max] and templateYValue[1] out of 100 templateYLabel[0] templateYLabel[1] respectively .
This statistic shows the templateTitle[0] templateTitle[1] templateYLabel[0] templateTitle[3] templateTitle[4] templateTitleSubject[0] in the templateTitleSubject[1] ( templateTitleSubject[2] ) templateTitle[9] templateXValue[min] templateTitle[3] to templateXValue[max] . In templateXValue[min] , templateTitleSubject[0] made templateYValue[min] templateScale templateYLabel[2] templateYLabel[3] in templateYLabel[0] , which is templateTitle[3] to templatePositiveTrend to templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] by templateXValue[idxmax(Y)] .
The statistic shows information on the monthly templateYLabel[0] of templateTitle[2] templateTitle[3] templateYLabel[1] of Grand Theft Auto templateTitleSubject[0] on templateTitleSubject[0] worldwide as of 2020 . In 2020 , templateTitle[0] templateTitleSubject[0] reached templateYValue[max] thousand templateTitle[3] templateYLabel[1] on templateTitleSubject[0] .
This statistic displays the annual templateYLabel[0] of templateTitleSubject[0] templateTitle[2] templateTitle[3] per annum from templateXValue[min] to templateXValue[max] . The largest templateYLabel[0] of templateTitleSubject[0] templateTitle[2] templateTitle[3] was in templateXValue[7] with a total production of templateYValue[max] templateScale templateYLabel[2] of templateTitle[2] . Since then the total templateYLabel[0] of templateTitle[2] templateTitle[3] has declined .
The world 's templateTitle[1] fleet is expected to templatePositiveTrend from 25,830 to 50,660 templateTitle[1] between templateTitleDate[min] and templateTitleDate[max] . While the more established markets of templateValue[0][4] and templateValue[0][5] templateValue[0][3] are predicted to templatePositiveTrend templateTitle[3] around 77 and 45 templateScale respectively , the templateValue[0][1] templateValue[0][6] fleet is expected to templatePositiveTrend templateTitle[3] about 146 templateScale to templateValue[2][max] templateTitle[1] in templateTitleDate[max] . Commercial aviation The above figures relate only to commercial aviation , meaning templateTitle[1] for hire operated templateTitle[3] companies .
The statistic shows the market templateYLabel[0] of templateTitleSubject[0] in the templateTitle[3] templateTitle[4] market ( unit templateYLabel[1] ) from the first templateXLabel[0] of templateTitleDate[min] to the fourth templateXLabel[0] of templateTitleDate[max] . In the fourth templateXLabel[0] of templateTitleDate[max] , templateTitleSubject[0] templateTitle[1] market templateYLabel[0] in the templateTitle[4] market was at templateYValue[0] templateScale templateYLabel[3] templateYLabel[4] .
The statistic shows the degree of templateTitle[3] templateTitleSubject[0] in templateTitle[5] templateTitle[6] worldwide . According to the templateTitleSubject[0] Index , templateXValue[last] occupied the last place in templateTitle[3] templateTitleSubject[0] with templateYValue[min] templateYLabel[0] templateYLabel[1] in templateTitleDate[0] . templateXValue[1] and templateXValue[0] were ranked first and second with templateYValue[max] and templateYValue[1] out of 100 templateYLabel[0] templateYLabel[1] respectively .
This statistic shows the templateTitleSubject[0] templateTitle[1] the templateTitle[2] templateYLabel[0] templateTitle[4] average templateTitle[5] for the period 2007 - templateTitleDate[0] . In that period , templateXValue[0] was the templateXLabel[0] templateTitle[1] the templateTitle[2] number of templateYLabel[0] in relation to its templateYLabel[3] . There were templateYValue[max] templateYLabel[0] templateYLabel[1] every 1,000 of templateXValue[0] 's templateYLabel[3] .
This statistic shows the templateTitleSubject[0] of templateTitle[1] of templateTitle[3] prisoners in Finland from templateValue[0][last] to templateValue[0][0] , broken down templateTitle[7] the templateTitle[8] of prison templateTitle[9] . templateValue[4][0] templateScale of templateTitle[3] prisoners with six or templateLabel[4][1] previous prison templateTitle[9] released in templateValue[0][0] returned to prison within a five-year period .
This statistic shows the templateTitle[2] templateYLabel[0] templateYLabel[1] in the templateTitle[0] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[2] templateYLabel[0] templateYLabel[1] in the templateTitle[0] of templateTitleSubject[0] amounted to templateYValue[idxmax(X)] templateYLabel[3] templateYLabel[4] .
The statistic shows figures on the television templateTitle[2] and templateTitle[3] figures for templateTitleSubject[0] games in the country from 11 ( week 1 ) to 5 , 2017 ( Super Bowl ) . The templateLabel[0][0] in week templateValue[1][2] between the Denver templateValue[0][5] and Oakland templateValue[0][55] , broadcast on NBC , was watched by a total of templateValue[2][55] templateScale templateLabel[2][0] . The final and most important templateLabel[0][0] of the season , the Super Bowl , was watched by over templateValue[2][last] templateScale people in the country .
The templateTitle[1] of templateTitle[0] among adults in templateTitleSubject[0] has been creeping upwards since templateValue[0][last] . In that templateLabel[0][0] , templateValue[1][last] templateScale of templateLabel[1][0] and templateLabel[2][0] in templateTitleSubject[0] were classified as obese . However , templateTitle[5] templateValue[0][0] this share had templatePositiveTrend to templateValue[2][0] templateScale for templateLabel[2][0] and templateValue[1][0] templateScale for templateLabel[1][0] .
This statistic shows the amount of templateYLabel[0] templateYLabel[1] templateXValue[last] on 31st of , templateTitleDate[0] , templateTitle[7] templateXValue[last] of templateXValue[last] . There were a total of 82,634 templateYLabel[0] templateYLabel[1] templateXValue[last] in templateTitleSubject[0] and templateTitleSubject[1] on this date , the largest share of whom , templateYValue[max] , were serving templateXValue[2] of templateXValue[0] or templateXValue[0] .
This statistic shows the most popular templateXValue[5] templateTitle[3] templateTitle[4] in the templateTitle[1] as of 2018 , ranked templateTitle[6] templateTitle[7] templateTitle[8] templateYLabel[1] . The most popular templateXValue[5] templateTitle[3] service as of 2018 was templateXValue[0] , with templateYValue[max] templateScale templateTitle[7] active templateYLabel[1] .
This statistic shows the templateScale of templateTitleSubject[0] templateYLabel[1] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] templateTitle[7] templateXLabel[1] in templateTitleDate[0] , by the templateXLabel[0] of templateXLabel[1] . templateYValue[max] templateScale of templateYLabel[1] with templateXValue[last] and templateXValue[last] templateXLabel[1] used templateTitle[4] templateTitle[5] templateTitle[6] in templateTitleDate[0] .
This graph depicts the templateYLabel[0] templateYLabel[1] templateYLabel[2] for templateTitleSubject[0] games in the National Football League from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] templateYLabel[2] was templateYValue[idxmax(X)] templateYLabel[3] templateYLabel[4] .
Between templateXValue[min] and templateXValue[max] the templateTitleSubject[0] expenditures for templateTitle[4] treatment is expected to grow from templateYValue[idxmin(X)] templateScale templateYLabel[2] templateYLabel[3] to templateYValue[idxmax(X)] templateScale templateYLabel[2] templateYLabel[3] . templateTitle[4] can have life-threatening cardiovascular , renal and nervous system consequences when left untreated . templateTitle[4] is one of the leading causes of death worldwide.Diabetes overview templateTitle[4] is a chronic illness that affects the pancreas 's ability to produce insulin or how the body uses insulin .
This statistic represents the templateTitle[1] templateTitle[2] templateTitle[3] in the templateTitleSubject[0] in templateTitleDate[0] , templateTitle[8] templateTitle[9] . In templateTitleDate[0] , the templateTitle[1] templateTitle[2] templateTitle[3] of templateValue[0][2] was estimated to amount to around templateValue[2][0] templateScale metric tons .
This statistic shows the templateTitle[0] templateTitle[1] of templateTitleSubject[0] inhabitants from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , about templateValue[1][0] templateScale of inhabitants were aged 0 to 14 years , while approximately templateValue[2][0] templateScale were aged 15 to 64 , and templateValue[3][0] templateScale of templateTitleSubject[0] inhabitants were aged templateLabel[3][1] or older .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . The templateYLabel[0] templateYLabel[1] has declined in this time period from templateYValue[max] children per woman in templateXValue[8] to templateYValue[idxmax(X)] in templateXValue[idxmin(Y)] .
The statistic shows templateTitleSubject[0] templateTitle[1] templateTitle[2] templateYLabel[0] templateTitle[4] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , templateTitleSubject[0] templateTitle[1] templateTitle[2] templateYLabel[0] templateTitle[4] amounted to around templateYValue[6] templateScale templateYLabel[2] templateYLabel[3] . Here you is a U.S.-based templatePositiveTrend from the previous templateXLabel[0] .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at approximately templateYValue[idxmax(X)] templateScale .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitle[1] templateTitle[2] in templateTitleSubject[0] was at about templateYValue[idxmax(X)] templateYLabel[0] templateYLabel[1] 1,000 templateYLabel[3] templateYLabel[4] .
This statistic illustrates the templateTitle[2] of templateValue[0][1] and templateValue[0][0] for templateTitleSubject[0] original programs at the Primetime templateTitle[0] templateTitle[1] in the country from templateTitleDate[min] to templateTitleDate[max] . In templateTitleDate[max] , templateTitleSubject[0] original programming received templateValue[7][max] templateValue[0][1] overall , trailing only HBO in terms of total templateValue[0][1] . The streaming service won templateValue[7][min] templateTitle[1] in templateTitleDate[max] .
This statistic shows the total annual templateYLabel[0] of the templateTitle[0] templateTitle[1] in the templateTitleSubject[0] ( templateTitleSubject[1] ) from templateXValue[min] to templateXValue[max] . Over this period the total templateYLabel[0] of businesses within the templateTitleSubject[1] templateTitle[0] templateTitle[1] has grown steadily , reaching over templateYValue[max] templateScale British pounds in templateXValue[idxmax(Y)] .
The statistic depicts templateTitleSubject[0] templateTitle[1] templateYLabel[0] between templateXValue[min] and templateXValue[max] . templateTitleSubject[0] , Inc. is the largest industrial gases company in North and South America and one of the largest worldwide . In templateXValue[max] , the corporation generated around templateYValue[0] templateScale templateYLabel[2] templateYLabel[3] of templateYLabel[0] .
This statistic depicts the number of templateTitleSubject[0] templateTitle[1] templateTitle[3] and templateTitle[2] templateTitle[4] that were in operation as of year-end templateTitleDate[0] . At that moment , the company templateTitle[2] templateValue[1][last] templateValue[0][2] templateValue[0][1] . templateTitleSubject[0] , which is short for the full name Petróleo Brasileiro S.A. , is a Brazilian multinational energy corporation .
This statistic shows the results of the templateTitle[0] templateTitle[1] templateTitle[2] in the templateTitleSubject[0] ( templateTitleSubject[1] ) from 2016 to 2019 . The templateTitle[0] templateTitle[1] templateTitle[2] held a range between templateYValue[max] and templateYValue[max] templateScale templateYLabel[2] , meaning it consistently among the previous year .
This statistic shows the results of a templateTitleDate[0] survey among Americans aged 16 and older regarding the templateTitle[0] they are looking for in a close templateTitle[2] . This statistic only shows the top five answers to that question . templateYValue[max] templateScale of the templateYLabel[1] stated a close templateTitle[2] has to be loyal .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitle[1] templateTitle[2] in templateTitleSubject[0] was at about templateYValue[idxmax(X)] templateYLabel[0] templateYLabel[1] 1,000 templateYLabel[3] templateYLabel[4] .
This statistic shows the templateTitle[2] of templateYLabel[1] templateTitleSubject[0] templateTitle[5] in selected countries in templateTitleDate[0] . That year , the templateTitle[2] of templateYLabel[1] templateYLabel[2] in templateXValue[6] 's electricity templateTitle[1] amounted to approximately templateYValue[6] templateScale .
This statistic shows the templateXValue[0] templateTitleSubject[0] 's templateTitle[0] templateTitle[1] templateTitle[2] in templateTitleDate[0] . In templateTitleDate[0] , templateXValue[0] were the UK 's most important templateTitle[1] partner with a templateYLabel[0] of templateYValue[max] templateScale of templateYLabel[1] templateYLabel[2] .
The cost of templateTitle[2] templateTitle[3] in the electric power industry can vary depending on the source that is used . In general , templateTitle[2] templateTitle[3] cost about templateValue[4][0] templateTitleSubject[0] dollars per templateScale British thermal units ( Btu ) but can range from templateValue[1][0] templateTitleSubject[0] dollars per templateScale Btu templateTitle[4] templateLabel[1][0] to templateValue[2][0] templateTitleSubject[0] dollars per templateScale Btu templateTitle[4] templateLabel[2][0] . templateLabel[1][0] and oil prices In general , templateLabel[1][0] and oil prices have been the most volatile , while templateLabel[3][0] templateLabel[3][1] prices have remained relatively stable in comparison .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] ( templateYLabel[0] ) templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[7] , with projections up until templateXValue[max] . templateYLabel[0] is the total value of all goods and services produced in a country in a templateXLabel[0] . It is considered to be a very important indicator of the economic strength of a country and a positive change is an indicator of economic growth .
This statistic shows the total templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitleSubject[0] in templateTitleDate[0] , by templateXLabel[0] . In templateTitleDate[0] , templateYValue[max] templateScale of the templateYLabel[1] templateYLabel[2] was templateXValue[0] in templateXValue[0] .
This statistic shows the templateScale of templateTitleSubject[0] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] a templateTitle[6] as of 2018 , sorted templateTitle[8] templateTitle[9] templateTitle[10] . According to the survey , templateYValue[max] templateScale of templateTitleSubject[0] templateTitle[2] aged templateXValue[0] to templateXValue[0] had templateTitle[5] a photograph of themselves and uploaded it to a social media website .
This statistic illustrates the templateYLabel[0] of templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the templateTitle[1] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of the templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the templateTitle[1] was approximately 0.99 templateScale templateYLabel[2] templateYLabel[3] . The templateTitle[2] templateTitle[3] is an informal network of banks , brokers , dealers and financial institutions which are linked electronically .
The statistic presents the templateTitleSubject[0] templateXValue[5] templateTitle[2] templateTitle[3] in templateTitleDate[0] , templateTitle[5] templateYLabel[0] . With templateYLabel[0] amounting to over 16 templateScale templateYLabel[2] templateYLabel[3] in templateTitleDate[0] , templateXValue[0] McLennan templateXValue[0] topped the list of templateTitleSubject[0] global templateXValue[5] templateTitle[2] globally . templateXValue[5] templateTitle[2] – additional information An templateXValue[5] broker ( or templateXValue[5] agent ) is an templateXValue[5] specialist offering consulting templateXValue[8] both to individuals and commercial businesses .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] of PricewaterhouseCoopers from templateXValue[min] to templateXValue[max] . In the fiscal templateXLabel[0] of templateXValue[max] , templateTitleSubject[0] generated approximately templateYValue[idxmax(X)] templateScale templateYLabel[2] templateYLabel[3] in templateTitle[0] templateTitle[1] templateTitle[2] . templateTitleSubject[0] - additional information templateTitleSubject[0] is one of the four largest accounting and audit firms in the world .
This statistic shows the templateTitleSubject[0] templateTitle[0] templateTitleSubject[0] templateYLabel[0] from templateTitleSubject[0] templateTitleDate[min] to templateTitleSubject[0] templateTitleDate[max] . The templateYLabel[0] is normalized to have a value of templateYValue[max] in 1964 and based on a monthly survey of consumers , conducted in the continental templateTitle[3] . It consists of about 50 core questions which cover consumers ' assessments of their personal financial situation , their buying attitudes and overall economic conditions .
templateTitle[2] templateYLabel[1] templateYValue[0] motorcycles in the United Kingdom ( templateTitleSubject[0] ) in 2019 . This was slightly higher than in the corresponding templateXLabel[0] in the previous year . Across all years recorded , templateTitle[4] figures were highest in , as this is the templateXLabel[0] when the Driver & Vehicle Licensing Agency ( DVLA ) issues new registration plates .
This statistic shows the templateTitleSubject[0] templateYLabel[0] templateYLabel[1] of templateTitle[1] templateTitle[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYLabel[0] from templateTitle[1] templateTitle[2] in the templateTitle[0] templatePositiveTrend by templateYValue[0] templateYValue[idxmax(X)] compared to the previous templateXLabel[0] . Wine industryWine is classified as alcoholic beverage which goes well with a large variety of occasions : some often choose to serve this classy drink as an aperitif , others see wine as a perfect accompaniment to a multi-course meal , and others again prefer drinking wine while spending time with friends or family .
The statistic shows the distribution of templateTitle[0] in templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , templateValue[1][0] templateScale of the employees in templateTitleSubject[0] were active in the agricultural templateTitle[3] , templateValue[2][0] templateScale in templateLabel[2][0] and templateValue[3][0] templateScale in the service templateTitle[3] .
This graph depicts the templateYLabel[0] templateYLabel[1] templateYLabel[2] for templateTitleSubject[0] templateTitle[1] games in Major League Baseball from templateXValue[last] to templateTitleDate[max] . In templateTitleDate[max] , the templateYLabel[0] templateYLabel[1] templateYLabel[2] was at templateYValue[0] templateYLabel[3] templateYLabel[4] .
The statistic shows templateTitleSubject[0] templateTitle[1] templateYLabel[1] of templateTitle[4] templateTitle[5] templateTitle[6] in the templateTitleSubject[1] between 2018 and 2019 . In 2019 , templateTitleSubject[0] templateTitle[1] templateYLabel[1] of templateTitle[4] templateTitle[5] templateTitle[6] in the templateTitleSubject[1] stood at templateYValue[0] templateScale . The templateTitleSubject[0] Motor Company , a South Korean templateTitle[5] manufacturer belonging to the templateTitleSubject[0] Kia Automotive Group , was founded in 1967 by Chung Ju-Yung .
This statistic shows the development of templateTitleSubject[0] ' templateYLabel[1] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[1] of templateTitleSubject[0] was templateYValue[idxmax(X)] templateScale templateYLabel[3] templateYLabel[4] .
This statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of the templateTitleSubject[0] templateTitle[3] templateTitle[4] templateTitle[5] from templateXValue[min] to templateXValue[max] . Until templateXValue[20] , the templateTitle[5] did not reach a templateYLabel[3] better than templateYValue[20] . Rank templateYValue[max] was the lowest result of the templateTitle[5] , which was reached in templateXValue[idxmax(Y)] .
This statistic shows the development of templateTitle[0] templateYLabel[1] to templateYLabel[2] ( templateTitle[0] penetration ) on the European domestic templateTitle[0] market between templateXValue[min] and templateXValue[max] . The templateYLabel[3] is used as an indicator of templateTitle[0] sector development . In templateXValue[max] , the templateYLabel[1] templateYLabel[3] to templateYLabel[2] was templateYValue[idxmax(X)] templateScale .
The templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateValue[5][min] kilograms of templateTitle[4] templateTitle[5] in templateTitleSubject[0] hit an all-time low of templateValue[5][min] Canadian dollars in 2019 . This templateTitle[2] has gradually templateNegativeTrend over time , from a monthly templateTitle[0] of templateValue[1][6] dollars per templateValue[5][min] kilograms in templateTitleDate[min] . What is templateTitle[4] templateTitle[5] ? templateTitle[4] templateTitle[5] which we buy in stores is a refined templateTitle[5] .
The statistic shows the templateYLabel[1] in real templateYLabel[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , templateTitleSubject[0] 's real templateTitle[0] templateTitle[1] templateTitle[2] templatePositiveTrend by around templateYValue[6] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic shows the templateTitle[0] estimated annual templateTitle[1] to templateTitle[2] different universities and college institutions in the templateTitle[3] for academic years templateValue[0][0] to templateValue[0][last] . The templateTitle[0] templateTitle[1] of attendance ( which includes tuition , fees , room and board ) in templateLabel[1][0] templateLabel[2][1] in-state institutions was templateValue[2][last] templateTitleSubject[0] dollars in the academic templateLabel[0][0] templateValue[0][last] .
This statistic shows the templateTitle[1] templateTitle[2] problems templateTitle[4] templateTitle[5] templateXValue[4] in the templateTitleSubject[0] in 2020 . During the survey , about templateYValue[max] templateScale of the templateYLabel[1] stated that the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateXValue[4] was templateXValue[0] .
The statistic shows projected figures for the templateTitleSubject[0] market templateTitle[4] from templateValue[0][last] to templateValue[0][0] , templateTitle[7] product templateTitle[8] . For templateValue[0][1] , the templateTitle[4] templateTitle[1] templateTitle[2] of templateLabel[2][0] and templateLabel[2][2] templateLabel[2][3] templateTitleSubject[0] are templateTitle[3] to reach templateValue[2][1] templateScale units . The templateTitle[4] templateTitleSubject[0] market - additional information After decades of being part of the essential arsenal of fictional heroes from Batman to James Bond , templateTitleSubject[0] ( also known as templateLabel[3][0] technology or templateLabel[3][0] computers ) are finally entering the mainstream .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] of templateTitle[3] templateValue[0][2] care templateValue[0][5] to templateLabel[1][0] and templateLabel[2][0] consumers in the templateTitleSubject[0] , according to a survey conducted in 2013 . templateValue[0][2] moisturising and hydrating templateTitle[2] were considered the templateTitle[0] templateTitle[1] templateTitle[2] templateValue[0][2] both genders , with templateValue[2][0] templateScale of women stating this as templateTitle[1] . The templateValue[0][3] moisturiser market takes up the largest proportion of the templateTitle[3] templateValue[0][2] care market with a share of 41.6 templateScale in templateTitleDate[0] .
This statistic shows the development of templateTitleSubject[0] ' templateYLabel[1] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[1] of templateTitleSubject[0] was templateYValue[idxmax(X)] templateScale templateYLabel[3] templateYLabel[4] .
This statistic shows the templateYLabel[0] of templateTitleSubject[1] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of templateTitleSubject[1] templateYLabel[1] in templateTitleSubject[0] is expected to reach templateYValue[idxmax(X)] templateScale , up from templateYValue[5] templateScale in templateXValue[5] .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitle[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were a total templateYValue[idxmax(X)] templateYLabel[1] reported in the templateTitle[0] .
The statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[2] at templateYLabel[2] templateTitle[5] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[6] , the templateYLabel[0] templateYLabel[1] of templateTitle[2] at templateYLabel[2] in templateTitleSubject[0] was about templateYValue[6] templateYLabel[3] .
This statistic displays the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] was around templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] templateYLabel[5] of land area , an templatePositiveTrend from the previous templateXLabel[0] .
This statistic shows the templateTitle[1] of employment in the templateTitle[2] templateTitle[3] , templateTitle[4] templateTitle[5] templateTitle[6] from templateValue[0][last] to templateValue[0][0] in the templateTitle[7] . For the purpose of this statistic templateTitle[5] templateTitle[6] is calculated templateTitle[4] the number of the templateTitle[5] 's templateLabel[1][3] . In templateValue[0][0] , templateLabel[1][0] templateLabel[1][1] templateLabel[2][3] than templateLabel[2][2] templateLabel[1][3] employed templateValue[2][0] templateScale of the templateTitle[2] templateTitle[3] work force in the templateTitle[7] .
This statistic shows the templateTitle[0] templateTitleSubject[0] all-time templateYLabel[1] templateTitle[5] as of October 14 , templateTitleDate[0] . templateXValue[0] has hit the most templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] franchise history with templateYValue[max] templateYLabel[1] templateYLabel[2] .
This statistic shows the total templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateTitle[2] templateTitleSubject[0] plc in the United Kingdom ( UK ) between templateXValue[min] and templateXValue[max] . Passenger numbers for the UK based airline have been templatePositiveTrend since templateXValue[8] and reached templateYValue[max] templateScale templateTitle[2] templateXValue[idxmax(Y)] . This figure excludes the company 's subsidiary BA CityFlyer .
This statistic shows the templateTitle[0] of templateTitle[1] and templateTitle[2] templateTitle[3] in the templateTitle[4] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][last] , there were templateValue[1][0] templateLabel[1][0] and templateValue[1][0] templateLabel[2][0] templateTitle[2] templateTitle[3] in the templateTitle[4] .
The statistic depicts the templateTitle[0] templateTitle[1] in templateTitleSubject[0] from templateValue[0][last] to templateValue[0][0] . The templateTitle[0] templateTitle[1] measures the templateScale of people aged 15 and above who can read and write . In templateValue[0][0] , templateTitleSubject[0] 's templateTitle[0] templateTitle[1] was around templateValue[1][0] templateScale .
This statistic displays the templateYLabel[0] of internet users in templateTitle[5] templateTitle[6] visiting templateTitleSubject[0] networking sites as of 2020 . Based on a comparison of the number of templateTitle[2] accounts on the top templateTitleSubject[0] network in each templateXLabel[0] to the templateYLabel[1] , templateXValue[2] ranked third with a templateTitleSubject[0] templateTitle[1] templateTitle[3] templateTitle[4] of templateYValue[2] templateScale . templateTitleSubject[0] templateTitle[1] templateTitle[3] has also become increasingly mobile , in large part thanks to templateTitleSubject[0] apps .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateTitle[3] templateTitle[4] selected templateTitle[5] templateTitle[6] templateTitle[7] in templateTitle[7] countries in templateTitleDate[0] . The majority of immigrants in templateXValue[0] that year were Swedes returning to templateXValue[0] . The remaining top five countries of templateTitle[7] were templateXValue[1] , templateXValue[2] , Syria and templateXValue[4] .
As of early 2020 , templateXValue[0] is the templateTitle[8] templateTitle[9] leader in templateYLabel[0] templateYLabel[1] for the templateTitle[1] templateTitle[2] team of templateTitleSubject[0] templateTitle[4] a total of templateYValue[max] templateYLabel[0] templateYLabel[1] , followed by templateXValue[1] with templateYValue[1] templateYLabel[0] . templateXValue[0] retired from the templateTitle[1] team back in 2002 after a templateYValue[14] year career for templateTitleSubject[0] . templateXValue[1] on the other hand took part in the 2018 World Cup in Russia and helped play a phenomenal tournament for templateTitleSubject[0] making second place after losing in the final against France 4:2 .
This graph shows the number of templateTitle[0] templateTitle[1] templateTitle[2] in templateTitleSubject[0] in templateTitleDate[0] , templateTitle[5] templateTitle[6] templateLabel[0][0] . In that year , nearly templateValue[2][1] templateScale of the population in templateTitleSubject[0] templateTitle[1] templateTitle[2] were templateLabel[1][0] templateLabel[1][1] .
This graph depicts the templateYLabel[1] of the templateTitle[2] templateTitleSubject[0] franchise of Major League Baseball from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] had an estimated templateYLabel[1] of templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] . The templateTitle[2] templateTitleSubject[0] are owned by William DeWitt Jr. , who bought the templateYLabel[0] for 150 templateScale templateYLabel[3] templateYLabel[4] in 1996 .
This statistic shows the templateYLabel[0] templateTitle[1] templateTitle[2] of the templateTitle[3] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] , on a historical-cost basis . In templateXValue[max] , the templateYLabel[3] templateYLabel[1] made in templateTitleSubject[0] were valued at approximately templateYValue[idxmax(X)] templateScale templateYLabel[3] templateYLabel[4] . templateYLabel[0] templateTitle[1] templateTitle[2] of the templateTitle[3] - additional information Foreign templateYLabel[0] templateTitle[1] ( FDI ) , simply put , is an templateTitle[1] of one company into another company located in a different country .
The statistic shows a ranking of Brazilian templateTitle[3] templateTitle[4] participating in the templateTitle[5] as of 2016 . The survey revealed that the most templateTitle[4] templateTitle[5] with templateYValue[max] templateScale of templateYLabel[1] templateYLabel[2] . templateXValue[1] ranked second with a total of templateYValue[1] templateScale templateYLabel[1] templateYLabel[2] .
This statistic displays the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateTitleDate[min] to templateTitleDate[max] . In templateTitleDate[max] , templateYLabel[0] in templateTitleSubject[0] was templateYValue[min] templateScale .
The statistic shows information on the monthly templateYLabel[0] of templateTitle[2] templateTitle[3] templateYLabel[1] of Grand Theft Auto templateTitleSubject[0] on templateTitleSubject[0] worldwide as of 2020 . In 2020 , templateTitle[0] templateTitleSubject[0] reached templateYValue[max] thousand templateTitle[3] templateYLabel[1] on templateTitleSubject[0] .
Between templateValue[0][last] and templateValue[0][0] , the templateTitle[4] of templateLabel[3][0] in templateTitleSubject[1] have continuously been templatePositiveTrend , from about 11.5 templateScale units to almost 22 templateScale in 2018 . On the other hand , the templateTitle[4] of templateTitle[3] have been stagnating since templateValue[0][4] , while tablet templateTitle[4] peaked at 6.2 templateScale units in templateValue[0][2] . Moreover , we can see that templateTitle[2] have appeared on the French market for mobile devices since templateValue[0][2] : these body-borne devices are small computing devices which extend the performances of computing technologies .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] , templateYLabel[2] to the templateYLabel[3] templateXLabel[0] . In templateXValue[max] , the Bangladeshi templateYLabel[0] templatePositiveTrend by approximately templateYValue[idxmax(X)] templateScale .
This statistic shows the share of templateTitle[3] templateYLabel[2] templateTitle[0] templateTitleSubject[0] templateYLabel[3] templateTitle[5] in templateTitleDate[0] , templateTitle[6] templateXLabel[0] . In templateTitleDate[0] , templateTitle[3] templateTitle[0] templateTitleSubject[0] templateYLabel[3] templateTitle[4] in templateXValue[0] accounted for around templateYValue[max] templateScale of the world 's total templateTitle[3] templateYLabel[2] grid-connected templateTitleSubject[0] templateYLabel[3] .
This statistic shows the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to about templateYValue[6] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
As of templateTitleDate[0] , templateXValue[0] is the templateTitle[8] templateTitle[9] leader in templateYLabel[0] templateYLabel[1] for the templateTitle[0] templateTitle[1] team of templateTitleSubject[0] templateTitle[3] a total of 56 templateYLabel[0] templateYLabel[1] , followed by templateXValue[1] with templateYValue[1] templateYLabel[0] . While templateXValue[1] has long since retired from his career templateTitle[3] the templateTitle[0] team back in 1980 , templateXValue[0] actually played in the templateTitle[4] recent 2018 World Cup and at the templateTitle[8] had the highest market value of templateTitle[2] in the team by far . Disappointing World Cup 2018 for templateTitleSubject[0] 's team was considered among one of the favorites prior to the tournament , resulting in an even bigger disappointment when not just the opener against Senegal was a lose but also their second game against Colombia , making it impossible for them to advance to the next round .
The city of templateXValue[0] holds the record for the highest templateYLabel[0] templateYLabel[3] templateYLabel[4] of templateTitle[1] templateTitle[2] templateTitle[3] in the templateTitle[0] , as of October templateTitleDate[0] , with an templateXValue[4] templateYLabel[0] of some templateYValue[max] templateXValue[4] templateYLabel[2] templateYLabel[3] templateYLabel[4] . According to recent data , templateTitle[8] 2021 , recreational templateTitle[3] sales in the templateXValue[4] are expected to triple . Recreational cannabis use Recreational cannabis is not legal in all templateXValue[4] states ; however , many consumers use the drug illicitly .
templateTitleSubject[0] Park in the templateTitle[5] attracted a total of approximately templateYValue[0] templateScale templateYLabel[1] in templateXValue[max] , down from its visitation peak of templateYValue[max] templateScale in templateXValue[idxmax(Y)] . A templateTitleSubject[0] uniting nations templateTitleSubject[0] Park 's name derived from the many glaciers that shaped its topography for over templateYValue[4] templateScale years . Located in Montana on the Canada-U.S. border , templateTitleSubject[0] Park is the second half of the Glacier-Waterton International Peace templateTitleSubject[0] , the first half being Waterton Lakes templateTitleSubject[0] in Canada .
This graph depicts the templateYLabel[0] templateYLabel[1] templateYLabel[2] for templateTitleSubject[0] games in Major League Baseball from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] templateYLabel[2] was at templateYValue[idxmax(X)] templateYLabel[3] templateYLabel[4] .
The statistic shows the top templateYValue[14] templateTitle[0] at the templateTitle[6] templateTitle[8] templateTitle[9] templateTitleDate[0] in templateTitleSubject[0] according to their current templateYLabel[0] / templateTitle[4] templateYLabel[1] . templateXValue[0] of Argentina is the templateTitle[2] valued player , templateTitle[1] a templateTitle[4] templateYLabel[0] templateYLabel[1] of templateYValue[max] templateScale templateYLabel[3] .
In the third templateXLabel[0] of templateXValue[0] , the templateTitleSubject[0] ( IT ) sector of the Technical Consumer Goods industry generated a templateYLabel[0] of approximately 2.302 templateScale British pounds . This represents growth of five templateScale on templateXValue[0] templateXValue[3] . templateYLabel[0] is traditionally higher during the fourth templateXLabel[0] of each year , exceeding templateYValue[2] templateScale British pounds in templateXValue[3] , the first time that mark had been broken since templateXValue[3] templateXValue[27] .
The statistic shows templateTitle[1] templateTitle[2] templateYLabel[0] templateYLabel[1] in the templateTitle[0] between templateXValue[min] and templateXValue[max] . Here , the templateYLabel[1] of templateYLabel[0] derived from templateTitle[1] fuels came to approximately templateYValue[0] templateYLabel[2] British thermal units in templateXValue[max] . templateTitle[1] templateTitle[2] energies – additional informationFossil fuels are hydrocarbon-containing natural resources formed from the remains of dead plants or animals that have been subject to immense pressure from a buildup of layers over templateScale of years .
This statistic shows the templateYLabel[0] of templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . templateTitle[1] templateTitle[2] templateYLabel[0] in templateTitleSubject[0] amounted to approximately templateYValue[idxmax(X)] templateYLabel[1] templateTitle[3] templateTitle[4] in templateXValue[max] , down from templateYValue[1] templateYLabel[1] the previous templateXLabel[0] . templateTitle[1] templateTitle[2] in templateTitleSubject[0] - additional information templateTitle[1] templateTitle[2] , most often classed as a dairy product , comes in a variety of different flavors and is usually made from templateTitle[2] or milk , with added natural or artificial flavorings , sweeteners and colorings .
The statistic illustrates the number of templateYLabel[0] templateTitle[2] templateTitle[3] templateTitle[4] in the templateTitle[0] in templateTitleDate[0] , templateTitle[6] templateXLabel[0] templateXLabel[1] . In templateTitleDate[0] , templateYValue[max] templateScale templateTitleSubject[0] templateYLabel[0] owned a templateXValue[0] templateTitle[3] dryer . As of templateTitleDate[0] , almost 80 templateScale of templateTitleSubject[0] templateYLabel[0] had a templateTitle[3] dryer .
This statistic shows the templateTitle[0] templateTitle[1] templateYLabel[0] of templateTitle[3] templateTitle[4] in the templateTitle[5] in templateTitleDate[0] . The templateTitle[0] templateTitle[1] templateYLabel[0] of templateTitle[3] for the templateTitle[5] amounted to approximately templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] in templateTitleDate[0] .
In templateValue[0][0] , just over one fifth of the Dutch population smoked . templateValue[2][0] templateScale were templateLabel[2][0] templateLabel[1][0] , defined by the source as people templateTitle[0] more than 20 cigarettes a day . templateTitle[0] is becoming less and less popular in the templateTitleSubject[0] .
This statistic presents the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[idxmax(X)] templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] .The templateYLabel[0] templateYLabel[1] is the templateYLabel[1] that divides a templateTitle[2] into two numerically equal groups ; that is , half the people are younger than this templateYLabel[1] and half are older . It is a single index that summarizes the templateYLabel[1] distribution of a templateTitle[2] . In templateXValue[7] , the templateYLabel[0] templateYLabel[1] of the templateTitle[2] of templateTitleSubject[0] was templateYValue[7] templateYLabel[2] .
This statistic shows the templateYLabel[0] of templateTitle[2] templateYLabel[1] at templateTitle[3] establishments in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . Since templateXValue[9] there has been an templatePositiveTrend trend in templateYLabel[1] . In templateXValue[max] , the templateYLabel[0] of templateYLabel[1] ( including both foreign and domestic ) at templateTitle[3] in templateTitleSubject[0] amounted to approximately templateYValue[idxmax(X)] templateScale .
The statistic depicts the templateYLabel[0] of templateYLabel[1] of templateTitleSubject[0] , templateTitleSubject[1] , and templateTitleSubject[2] for the fiscal years templateXValue[min] to templateXValue[max] . The templateYLabel[0] of templateYLabel[1] at templateTitleSubject[0] , templateTitleSubject[1] , and templateTitleSubject[2] reached a high in templateXValue[2] with templateYValue[2] employed at the templateTitleSubject[2] that templateXLabel[0] .
The statistic shows the templateXLabel[0] templateTitle[1] programs with the most templateYLabel[1] in the templateTitleSubject[0] templateTitle[1] templateYLabel[0] ( Madness , Big Dance ) . The templateTitle[1] team of templateXValue[3] has participated templateYValue[2] times in the templateYLabel[0] up to templateTitleDate[max] .
This statistic gives information on the templateTitle[1] of templateTitle[0] templateYLabel[1] in the templateTitle[2] as of 2020 , sorted templateTitle[5] templateTitle[6] . During the measured period , templateYValue[min] templateScale of templateTitleSubject[0] templateTitle[0] templateTitle[3] were templateXValue[0] and templateYValue[max] templateScale were templateXValue[last] .
Between 2014 and 2019 , the lowest templateYLabel[0] of templateTitle[0] raindays occurred in 2014 , when just templateYValue[18] templateYLabel[1] recorded 1mm or more of templateTitle[2] . The highest templateYLabel[0] of raindays was recorded in of the same year , at templateYValue[max] . Fourth quarter the wettest The wettest periods of the year tend to be the start and the end .
This statistic shows the templateTitle[0] templateTitle[1] of templateTitleSubject[0] in templateTitleSubject[1] from templateValue[0][last] to templateValue[0][0] , templateTitle[8] templateTitle[9] templateTitle[10] . In templateValue[0][0] , around templateValue[2][0] templateScale U.S. dollars was generated in templateTitleSubject[0] , templateValue[1][0] templateScale U.S. dollars in templateLabel[2][0] .
This statistic shows the templateXLabel[0] templateTitle[3] of Canadians for templateTitleDate[0] , distinguished templateTitle[4] templateTitle[6] of templateXLabel[0] . In templateTitleDate[0] , about templateYValue[max] templateScale of templateYLabel[1] in templateTitleSubject[0] were templateXValue[0] or templateXValue[0] or templateXValue[0] .
In templateXValue[max] , close to templateYValue[max] templateScale templateYLabel[1] templateYLabel[2] accessed the web from the templateTitleSubject[0] , up from nearly templateYValue[min] templateScale in templateXValue[2] . The templateTitleSubject[0] are one of the largest online markets worldwide , ranking only behind China and India in terms of online audience size . templateYLabel[1] usage in the templateTitleSubject[0] Overall , 90 templateScale of templateTitle[1] adults were reported to use the templateYLabel[1] at least occasionally , up from 76 templateScale in templateXValue[9] .
This statistic shows the results of a templateTitleDate[0] survey among Americans aged 16 and older regarding the templateTitle[0] they are looking for in a close templateTitle[2] . This statistic only shows the top five answers to that question . templateYValue[max] templateScale of the templateYLabel[1] stated a close templateTitle[2] has to be loyal .
This statistic depicts the templateYLabel[0] templateYLabel[1] of the templateTitle[2] templateTitle[3] templateTitle[4] in the templateTitle[5] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of the templateTitle[2] templateTitle[3] templateTitle[4] in the templateTitle[5] was templateYValue[idxmax(X)] templateYLabel[2] .
templateXValue[0] is the most active templateTitle[0] templateTitle[1] among internet users in the templateTitleSubject[0] ( templateTitleSubject[1] ) , with templateYValue[max] templateScale of people reporting use of the service . templateXValue[1] was very close behind , with a rate of templateYValue[1] templateScale . templateXValue[0] 's broad audience in the templateTitleSubject[0] YouTube reaches a broad audience in the templateTitleSubject[1] , making it an attractive partner for advertisers of almost any product .
This statistic shows the degree of templateTitle[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . templateTitle[0] means the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateYLabel[3] templateYLabel[2] of a country . In templateXValue[max] , templateYValue[idxmax(X)] templateScale of templateTitleSubject[0] 's templateYLabel[3] templateYLabel[2] lived in templateYLabel[1] areas and cities .
The statistic shows the templateTitle[3] templateTitle[4] templateYLabel[2] rate of the templateTitleSubject[0] templateYLabel[0] templateYLabel[1] from 2018 to templateTitleDate[0] . The templateYLabel[0] templateYLabel[1] is expected to grow by templateYValue[2] templateScale from templateXValue[3] to templateXValue[2] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in templateTitleSubject[0] in templateTitleDate[0] , templateTitle[6] templateXLabel[0] . The survey revealed that templateYValue[max] templateScale of the templateYLabel[1] templateTitle[1] templateXValue[0] templateXLabel[0] templateTitle[2] templateTitle[3] . Residential construction involves the building and selling of both individual and multi-family dwellings .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateTitle[2] the templateTitle[3] templateXValue[1] templateTitle[5] templateTitle[6] in templateTitleDate[0] . The templateXValue[1] templateXLabel[1] templateXValue[0] employs the most people among the templateTitle[3] templateXValue[1] templateTitle[5] , with templateYValue[max] templateYLabel[1] templateTitle[6] in templateTitleDate[0] .
This statistic shows the templateTitle[0] of the templateTitle[1] templateTitle[2] templateTitle[3] ( templateTitle[4] ) templateTitle[5] templateTitle[6] templateTitle[7] in templateTitleSubject[0] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , templateLabel[1][0] contributed around templateValue[1][0] templateScale to the templateTitle[4] of templateTitleSubject[0] , templateValue[2][0] templateScale came from the templateLabel[2][0] and templateValue[3][0] templateScale from the templateLabel[3][0] sector .
The statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . The templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] amounted to templateYValue[idxmax(X)] templateScale templateYLabel[3] templateYLabel[4] in templateXValue[max] .
This statistic shows the preferred templateTitle[3] templateTitle[4] for templateTitle[1] templateTitle[2] according to internet users in the templateTitle[0] in templateTitleDate[0] . During the survey period , it was found that templateYValue[1] templateScale of templateYLabel[1] most frequently used a templateXValue[1] templateXValue[0] to pay for templateTitle[1] purchases .
This statistic shows the templateTitleSubject[0] all-time templateYLabel[1] templateTitle[4] templateTitle[5] as of October 14 , templateTitleDate[0] . templateXValue[0] has hit the most templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] franchise history with templateYValue[max] templateYLabel[1] templateYLabel[2] .
The statistic shows templateTitleSubject[0] templateTitle[1] templateYLabel[1] of templateTitle[4] templateTitle[5] templateTitle[6] in the templateTitleSubject[1] between 2018 and 2019 . In 2019 , templateTitleSubject[0] templateTitle[1] templateYLabel[1] of templateTitle[4] templateTitle[5] templateTitle[6] in the templateTitleSubject[1] stood at templateYValue[0] templateScale . The templateTitleSubject[0] Motor Company , a South Korean templateTitle[5] manufacturer belonging to the templateTitleSubject[0] Kia Automotive Group , was founded in 1967 by Chung Ju-Yung .
This statistic depicts the templateXLabel[0] of templateXLabel[1] templateTitle[2] per day in the templateTitleSubject[0] ( templateTitleSubject[1] ) in templateTitleDate[0] . Approximately 69 templateScale of templateYLabel[1] templateTitle[2] between templateXValue[0] and templateXValue[2] templateXLabel[1] templateTitle[3] in that year .
This statistic described the templateTitle[0] templateTitle[1] templateYLabel[1] of templateTitleSubject[0] to the gross domestic product of the United Arab Emirates from templateXValue[min] to templateXValue[1] and a forecast for templateXValue[max] . The forecast of the templateTitle[0] templateTitle[1] templateYLabel[1] of templateTitleSubject[0] to the templateYLabel[0] of the United Arab Emirates for templateXValue[max] was approximately templateYValue[idxmax(X)] templateScale templateYLabel[3] templateYLabel[4] .
The statistic presents a ranking of leading templateTitleSubject[1] templateTitle[3] on templateYLabel[1] as of 2017 , based on the templateYLabel[0] of templateYLabel[2] . As of the survey period , templateXValue[2] ranked third with templateYValue[2] templateScale templateYLabel[2] . templateXValue[0] Cosmetics was ranked first with templateYValue[max] templateScale templateYLabel[2] .
The statistic shows templateTitle[0] templateTitle[1] templateTitle[2] ( templateYLabel[0] ) templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . templateYLabel[0] is the total value of all goods and services produced in a country in a templateXLabel[0] . It is considered to be a very important indicator of the economic strength of a country and a positive change is an indicator of economic growth .
This graph depicts the templateYLabel[0] templateTitle[0] templateTitle[1] home templateYLabel[1] of the templateTitleSubject[0] Dodgers from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateTitle[0] templateTitle[1] home templateYLabel[1] of the templateTitleSubject[0] Dodgers was templateYValue[max] templateYValue[idxmax(X)] • templateTitleSubject[0] Dodgers total home templateYLabel[1] • Major League Baseball templateYLabel[0] per game templateYLabel[1] • Major League Baseball total templateYLabel[1]
This statistic shows the templateYLabel[0] of templateTitle[1] templateYLabel[1] in templateTitleSubject[0] from templateTitleDate[min] to templateTitleDate[max] . In templateTitleDate[max] , there were templateYValue[0] new templateYLabel[1] to templateTitleSubject[0] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in templateTitleSubject[0] from 2015 to 2019 . In 2019 , the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in templateTitleSubject[0] was templateValue[5][0] Canadian dollars per 300 grams . templateTitle[5] in templateTitleSubject[0] - additional information templateTitle[5] , typically served hot , is a beverage prepared by brewing ground , templateTitle[4] templateTitle[5] beans with water .
This statistic presents a ranking of the countries most affected templateTitle[6] templateTitle[2] templateTitle[3] in templateTitleDate[0] . During the measured period , consumers in templateXValue[1] experienced templateTitle[2] templateTitle[3] templateTitle[4] worth templateYValue[1] templateScale templateYLabel[3] templateYLabel[4] . Globally , the average templateTitle[2] templateTitle[3] templateTitle[7] lost 142 templateYLabel[3] templateYLabel[4] .
The statistic shows templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) in templateTitleSubject[0] from templateXValue[min] to templateXValue[7] , with projections up until templateXValue[max] . templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) denotes the aggregate value of all services and goods produced within a country in any given templateXLabel[0] . templateTitle[3] is an important indicator of a country 's economic power .
This statistic shows the degree of templateTitle[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitle[1] in templateTitleSubject[0] was at about templateYValue[idxmax(X)] templateYLabel[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
The statistic shows the templateYLabel[0] of the templateYLabel[2] templateTitle[2] templateTitle[3] templateTitle[4] in templateXValue[min] provides a forecast for templateXValue[max] . templateYValue[idxmin(X)] templateScale templateYLabel[2] templateYLabel[3] in total templateYLabel[0] was generated by the templateYLabel[2] templateTitle[2] templateTitle[3] templateTitle[4] in templateXValue[idxmin(Y)] .
The statistic shows the templateYLabel[0] of the templateTitleSubject[0] between templateXValue[min] and templateXValue[6] , with projections up until templateXValue[max] , in US dollars.Private-sector-led economic recovery templateYLabel[0] is counted among the primary indicators that are used to gauge the state of health of a national economy . templateYLabel[0] is the total value of all completed goods and services that have been produced within a country in a given period of time , usually a templateXLabel[0] . templateYLabel[0] figures allow us to gain a broader understanding of a country 's economy in a clear way .
In the most recently reported templateXLabel[0] , the Chinese search engine templateTitleSubject[0] recorded a templateYLabel[0] of templateYValue[0] templateScale templateYLabel[2] templateYLabel[3] , indicating a slowdown in templateTitleSubject[0] 's year-on-year growth rates . The number of daily active users of templateTitleSubject[0] 's mobile app amounted to 189 templateScale in 2019 .
The statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at about templateYValue[idxmax(X)] templateScale . Trade in templateTitleSubject[0] is a templatePositiveTrend market and recognized as one of the world 's newest industrialized countries .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] of templateTitle[3] templateTitle[4] in the templateTitleSubject[0] from templateValue[0][last] to templateValue[0][0] , templateTitle[8] templateTitle[9] . In templateValue[0][0] , one templateTitle[2] of templateTitle[3] templateTitle[4] in templateLabel[1][0] was worth templateValue[1][7] templateTitleSubject[0] dollars . In 2024 , the global templateTitle[0] for one pound of templateTitle[3] is expected to reach approximately 0.22 templateTitleSubject[0] dollars .
This statistic shows the templateYLabel[0] templateYLabel[1] in the member states of the European Union in the first templateTitle[5] of templateTitleDate[0] . The data refer to the entire state and are comprised of the debts of central government , provinces , municipalities , local authorities and social security . In the first templateTitle[5] of templateTitleDate[0] , templateXValue[7] 's templateYLabel[0] templateYLabel[1] amounted to about templateYValue[7] templateScale templateYLabel[3] .
This statistic shows the templateTitleSubject[0] templateTitle[1] templateTitle[2] in the templateTitle[3] as rated according to the templateYLabel[0] templateYLabel[1] for templateTitleDate[0] . In templateTitleDate[0] , the templateTitleSubject[0] templateTitle[1] templateXLabel[0] in the templateTitle[3] was considered to be templateXValue[0] with a templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateYValue[max] . Quality of life around the templateTitle[3] The economic indicator , templateYLabel[0] templateYLabel[1] was created by Arthur Okun .
This statistic shows the templateYLabel[0] of templateYLabel[1] in the templateTitle[1] in templateTitleDate[0] , templateTitle[3] templateXLabel[0] . In templateTitleDate[0] , about templateYValue[max] templateScale templateYLabel[1] were counted in the federal templateXLabel[0] of templateXValue[0] .
This statistic shows the templateTitle[0] templateTitle[1] of templateTitle[2] templateTitle[3] templateTitle[4] in the templateTitle[5] templateTitle[6] templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , templateValue[1][0] templateScale of templateTitle[2] templateTitle[4] in the templateTitleSubject[0] were male and templateValue[2][0] templateScale were female .
The statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[3] templateYLabel[4] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , templateYValue[idxmin(X)] templateScale people accessed the templateYLabel[3] through their templateYLabel[1] templateYLabel[2] . In templateXValue[max] , this figure is projected to amount to templateYValue[idxmax(X)] templateScale templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This graph depicts the total/average regular season templateTitle[6] templateTitle[7] of the templateTitle[3] templateTitle[4] templateTitle[5] franchise of the templateTitleSubject[0] League from the templateValue[0][last] season to the templateValue[0][0] season . In templateValue[0][0] , the templateLabel[1][0] regular season templateTitle[6] templateTitle[7] of the franchise was templateValue[1][0] .
The statistic shows the templateYLabel[1] in real templateYLabel[0] in templateTitleSubject[0] from between templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , templateTitleSubject[0] 's real templateTitle[0] templateTitle[1] templateTitle[2] templatePositiveTrend by around templateYValue[6] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic shows the templateTitle[0] templateTitle[1] of the most popular templateTitle[2] templateTitle[3] in templateTitleSubject[0] from 2011 to 2015 . In 2015 , roughly templateValue[1][0] templateScale of templateTitle[2] owners used a templateLabel[1][0] phone , making it the brand with the highest templateTitle[0] templateTitle[1] in this ranking . In the same templateLabel[0][0] , templateLabel[2][0] 's iPhone had a templateTitle[0] templateTitle[1] of templateValue[2][last] templateScale .
templateTitleSubject[0] 's templateYLabel[0] has been higher than the average for African and Sub-Saharan countries for years now , and even exceeded templateYValue[8] templateScale in templateXValue[7] – and a real , significant templateNegativeTrend is nowhere in sight . The bigger problem is its unsteadiness , however : An templateYLabel[0] templateYLabel[1] that is bouncing all over the place , like this one , is usually a sign of a struggling economy , causing prices to fluctuate , and unemployment and poverty to templatePositiveTrend . templateTitleSubject[0] 's economy - a so-called `` mixed economy '' , which means the market economy is at least in part regulated by the state – is not entirely in bad shape , though .
The statistic shows the templateTitleSubject[0] used libraries , templateTitle[2] , and tools templateTitle[3] software templateTitle[4] templateTitle[5] , as of early templateTitleDate[0] . According to the survey , templateYValue[max] templateScale of templateYLabel[1] used templateXValue[0] , while templateYValue[1] templateScale used templateXValue[1] . The least used framework was templateXValue[last] with only templateYValue[min] templateScale of templateYLabel[1] reporting .
The statistic shows the templateYLabel[0] of templateYLabel[1] E.L. James 's 'Fifty templateTitleSubject[0] of templateTitleSubject[0] ' templateTitle[5] in templateTitle[6] templateXValue[2] templateXValue[0] as of 2014 . The book templateTitle[5] more than templateYValue[min] templateScale templateYLabel[1] in templateXValue[3] as of 2014 and a total of over templateYValue[max] templateScale templateXValue[0] . During a survey in 2016 , romance ranked third in a list of preferred e-book genres in the templateXValue[1] .
The statistic shows the templateYLabel[1] of the Disaster Recovery as a Service ( templateTitleSubject[0] ) templateYLabel[0] templateTitle[2] , from templateXValue[min] to templateXValue[max] . In templateXValue[1] , the global templateTitleSubject[0] templateYLabel[0] was predicted to reach templateYValue[1] templateScale templateYLabel[3] templateYLabel[4] in templateYLabel[1] . Additional information - Disaster Recovery as a Service ( templateTitleSubject[0] ) Within the field of information technology , disaster recovery is the process of replicating data on servers , either physical or virtual , as a precaution against man-made or natural disasters .
The statistic shows the templateTitle[0] of the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in the templateTitle[5] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , templateValue[1][0] templateScale of the templateTitle[1] were employed in templateLabel[1][0] , templateValue[2][0] templateScale in templateLabel[2][0] and templateValue[3][0] templateScale in templateLabel[3][0] . The same templateLabel[0][0] , the total UK population amounted to about 62.3 templateScale people .
This statistic depicts templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[1] the templateTitle[0] by templateTitleSubject[0] construction firms in templateTitleDate[0] . The survey revealed that templateYValue[max] templateScale of the templateYLabel[1] templateTitle[1] templateXValue[0] templateXLabel[0] templateTitle[2] templateTitle[3] the templateTitle[0] .
The statistic shows the templateYLabel[0] of the templateTitleSubject[0] from the templateXValue[last] season to the templateXValue[0] season . The templateYLabel[0] of the templateTitleSubject[0] amounted to templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] in the templateXValue[idxmax(Y)] season .
The statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateYLabel[2] templateYLabel[3] templateTitle[5] templateTitle[7] in the templateTitle[6] in templateTitleDate[0] , templateTitle[5] templateXLabel[0] templateXLabel[1] . The survey templateTitle[5] the TABS templateXLabel[1] revealed that templateTitle[7] between the ages of templateXValue[1] to templateXValue[1] purchase templateYValue[max] different templateTitle[2] templateYLabel[2] on templateYLabel[0] .
The statistic shows the templateYLabel[0] templateYLabel[1] of the sports company templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . templateTitleSubject[0] had a templateYLabel[0] templateYLabel[1] of templateYValue[last] templateYValue[idxmax(X)] templateYLabel[3] templateYLabel[4] in templateXValue[max] .
templateValue[0][0] was the European templateLabel[0][0] with the largest stock of templateTitle[1] vehicles in all three years here recorded . The total number of templateTitle[0] templateTitle[1] templateTitle[2] in templateTitleSubject[0] stood at 286.8 templateScale units in templateTitleDate[max] , of which templateValue[0][0] accounted for 46.5 templateScale . With the greatest population among all European countries and home to a prominent number of automobile manufacturers , this was unsurprising .
The templateTitle[5] in the templateTitleSubject[0] with the highest templateYLabel[5] templateTitle[1] templateTitle[2] in templateTitleDate[0] included templateXValue[0] , templateXValue[1] and templateXValue[2] . templateXValue[0] had the highest templateYLabel[5] templateTitle[1] templateTitle[2] with templateYValue[max] templateScale of templateYLabel[1] templateYLabel[2] occurring at templateYLabel[5] while templateYValue[1] templateScale of templateYLabel[1] templateYLabel[2] in templateXValue[1] occurred at templateYLabel[5] . templateYLabel[5] templateYLabel[2] templateYLabel[5] templateYLabel[2] are selected by women in the templateTitleSubject[0] for a variety of reasons templateYLabel[3] may include , a preference for less medical intervention , a location preference , cost , and a cultural or religious preference .
This statistic shows the templateTitle[0] templateTitle[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the templateTitle[0] templateTitle[1] of templateTitleSubject[0] was around templateYValue[6] templateScale people . See Switzerland 's templateTitle[1] figures for comparison .
templateYValue[max] templateScale of the population of the templateTitleSubject[0] ( templateTitleSubject[1] ) used the templateYLabel[3] in templateXValue[max] templateXValue[idxmax(Y)] according to figures from Eurostat and the International Telecommunications Union . The figure is unchanged from templateXValue[1] , marking the first templateXLabel[0] without growth since templateXValue[10] . templateYLabel[3] users in Great Britain44.1 templateScale people used the templateYLabel[3] daily in Great Britain during 2018 according to the templateTitleSubject[0] 's ( templateTitleSubject[1] ) Office for National Statistics ( ONS ) , breaking the record set in templateXValue[1] .
This statistic shows the average templateTitleSubject[0] templateTitle[2] with the highest amount of templateTitle[4] templateTitle[5] from templateTitleDate[min] to templateTitleDate[max] . templateValue[0][0] , was the leading producer , where 40.4 templateScale pounds of templateTitle[4] were produced in templateTitleDate[max] . templateTitle[4] templateTitle[5] Dairy farming is an agricultural business which is engaged in the long-term templateTitle[4] templateTitle[5] within the dairy industry .
This statistic presents the templateLabel[2][0] penetration of the templateTitle[0] templateTitle[2] sector in templateTitleSubject[0] , showing the templateTitle[1] of templateLabel[2][0] and templateLabel[1][0] templateTitle[2] templateTitle[3] in templateValue[0][0] and with a forecast for templateValue[0][last] . In templateValue[0][0] , templateLabel[2][0] templateTitle[4] made up templateValue[2][0] templateScale of total templateTitle[2] templateTitle[3] of templateTitle[0] . This is predicted to templatePositiveTrend to templateValue[2][last] templateScale templateTitle[7] templateValue[0][last] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitleSubject[0] templateTitle[3] titles templateTitle[5] as of 2019 . With templateYValue[max] templateScale templateYLabel[2] sold templateTitle[5] , templateXValue[0] 7 was the templateTitle[0] templateTitle[1] templateTitleSubject[0] templateTitle[3] game as of 2019 .
This statistic shows the templateTitleSubject[0] templateTitle[2] templateYLabel[0] of templateTitle[1] ( average for all templateTitle[1] varieties ) from 2016 to 2019 . In templateXValue[6] 2017 , the templateTitle[1] templateTitle[2] templateYLabel[0] amounted to templateYValue[30] .
This statistic shows the average templateTitle[0] templateTitle[1] in templateValue[0][0] for those born in templateTitleDate[0] , by gender and region . The average templateTitle[0] templateTitle[1] in templateValue[0][1] templateValue[0][0] was templateValue[1][1] years for templateLabel[1][0] and templateValue[2][1] years for templateLabel[2][0] in templateTitleDate[0] . Additional information on European templateTitle[0] templateTitle[1] The difference in templateTitle[0] templateTitle[1] seen between men and women across all European regions is in line with the global trends of women outliving men , on average .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitleSubject[0] in templateTitleDate[0] . In templateTitleDate[0] , the most important templateTitle[1] partner templateTitle[3] templateTitleSubject[0] was templateXValue[0] , accounting templateTitle[3] templateYValue[max] templateScale of all templateYLabel[2] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitleSubject[0] in templateTitleDate[0] . In templateTitleDate[0] , the most important templateTitle[1] partner templateTitle[3] templateTitleSubject[0] was templateXValue[0] , accounting templateTitle[3] templateYValue[max] templateScale of all templateYLabel[2] .
The statistic shows the templateYLabel[0] of templateYLabel[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the company had a total of templateYValue[idxmax(X)] templateYLabel[1] .
This statistic shows the total templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateTitle[5] templateYLabel[3] in the templateTitle[2] . As of the fourth templateXLabel[0] of templateTitleDate[max] , it was found that templateTitle[0] devices accounted for templateYValue[0] templateScale of templateYLabel[1] templateYLabel[2] templateTitle[5] templateYLabel[3] .
This statistic shows the templateXLabel[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[7] U.S. templateTitle[8] templateTitle[9] on templateTitleSubject[0] as of 2011 . templateXValue[1] templateXLabel[0] received templateYValue[1] likes from U.S. templateTitle[8] templateTitle[9] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the templateTitle[6] as of 2013 . During the survey , templateYValue[max] templateScale of the female templateYLabel[1] named templateXValue[0] as their templateTitle[0] preferred activity during templateTitle[2] templateXValue[2] .
This statistic displays the templateTitle[0] of templateTitle[1] that the templateTitle[4] of a templateTitleSubject[0] award templateTitle[5] templateTitle[6] gone on to win an Academy Award in that same year , sorted by category . The Academy Award for templateValue[0][0] has been templateTitle[7] templateValue[1][0] templateTitle[1] by a templateTitleSubject[0] winner in the same year , and templateValue[3][0] templateTitle[1] by templateLabel[3][0] else .
This statistic gives information on the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in the templateTitleSubject[0] ( templateTitleSubject[1] ) from the first templateXLabel[0] of 2018 to the third templateXLabel[0] of templateTitleDate[max] . During the fourth templateXLabel[0] of templateTitleDate[max] , templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] amounted to templateYValue[0] templateScale British pounds .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] ( templateYLabel[0] ) templateYLabel[1] templateYLabel[2] in the first quarter of templateTitleDate[0] . templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateYLabel[0] ) and the total value of all goods and services produced in a given year in a templateXLabel[0] . It is considered to be a very important indicator of the economic strength of a templateXLabel[0] and a positive change is an indicator of economic growth .
This statistic shows the estimated templateYLabel[0] of templateYLabel[1] templateTitle[2] templateTitle[3] to templateTitle[4] templateTitle[5] in templateTitleSubject[1] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of templateYLabel[1] templateTitle[2] templateTitle[3] to templateTitle[4] templateTitle[5] amounted to approximately templateYValue[min] templateScale templateYLabel[1] templateTitle[2] , the lowest amount in the provided time interval .
This statistic shows the templateYLabel[0] of templateTitleSubject[1] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of templateTitleSubject[1] templateYLabel[1] in templateTitleSubject[0] is expected to reach templateYValue[idxmax(X)] templateScale , up from templateYValue[5] templateScale in templateXValue[5] . templateTitleSubject[1] templateYLabel[1] in templateTitleSubject[0] – additional information templateTitleSubject[1] , headquartered in Menlo Park , California , is by far the leading social network in the world .
This statistic presents the distribution of a survey among templateTitleSubject[0] adult templateTitle[1] . The survey was fielded online by Harris Interactive in 2014 , asking the templateYLabel[1] where they usually templateTitle[3] their shampoo and/or templateTitle[6] . Some templateYValue[3] templateScale of templateTitleSubject[0] adults indicated that they buy their shampoo/conditioner templateXValue[3] .
The statistic shows the templateTitle[0] templateTitle[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the templateTitle[0] templateTitle[1] of templateTitleSubject[0] amounted to around templateYValue[6] templateScale templateYLabel[0] . See figures for Switzerland 's templateTitle[1] and the templateTitle[1] of Italy for comparison .
This statistic shows the results of a templateTitleDate[0] survey among Americans aged 16 and older regarding the templateTitle[0] they are looking for in a close templateTitle[2] . This statistic only shows the top five answers to that question . templateYValue[max] templateScale of the templateYLabel[1] stated a close templateTitle[2] has to be loyal .
This statistic shows templateTitle[0] templateTitle[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] , templateTitle[5] templateTitle[6] . In templateXValue[min] , templateTitleSubject[0] 's templateTitle[0] templateTitle[1] templateTitle[5] templateTitle[6] was templateYValue[idxmin(X)] templateYLabel[0] templateYLabel[1] .
This statistic shows the average templateTitle[0] templateTitle[1] in templateValue[0][0] for those born in templateTitleDate[0] , by gender and region . The average templateTitle[0] templateTitle[1] across the whole continent was templateValue[1][2] years for templateLabel[1][0] and templateValue[2][2] years for templateLabel[2][0] . The average templateTitle[0] templateTitle[1] globally was 70 years for templateLabel[1][0] and 75 years for templateLabel[2][0] in templateTitleDate[0] .
The templateYLabel[0] of the templateTitleSubject[0] luxury templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] S.p.A. amounted to templateYValue[min] templateScale templateYLabel[2] in templateXValue[max] . This figure represents a templateNegativeTrend compared to the peak reached by the templateTitle[3] in templateXValue[3] , when the templateYLabel[0] reported amounted to templateYValue[2] templateScale templateYLabel[2] . The reduction in templateYLabel[0] coincided with lower profits for the templateTitle[3] during the same period .
The statistic shows the templateTitle[0] of the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in templateTitleSubject[0] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , templateValue[1][0] templateScale of the templateTitle[1] were employed in templateLabel[1][0] , templateValue[2][0] templateScale in templateLabel[2][0] and templateValue[3][0] templateScale in templateLabel[3][0] . templateTitle[0] of templateTitle[1] in templateTitleSubject[0] – additional information In templateValue[0][6] , templateTitleSubject[0] was the largest exporting country worldwide with an export value of about two templateScale U.S. dollars .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] Cheese templateTitle[5] templateTitle[6] from templateXValue[min] to templateXValue[max] . Family-style restaurant chain templateTitleSubject[0] Cheese templateTitle[5] made a templateYLabel[0] templateYLabel[1] ( loss ) of approximately templateYValue[0] templateYValue[idxmax(X)] templateYLabel[3] templateYLabel[4] in templateXValue[max] .
The statistic shows the results of a survey among the templateTitle[0] templateTitle[1] templateTitle[2] in the templateTitleSubject[0] in templateTitleDate[0] . In templateTitleDate[0] , about templateValue[1][0] templateScale of templateTitleSubject[0] were Protestants , down from templateValue[1][last] templateScale in the previous year .
This statistic shows the templateTitle[3] reach of the templateTitleSubject[0] television channel in the United Kingdom ( templateTitleSubject[1] ) from the first templateXLabel[0] of templateXValue[0] to the third templateXLabel[0] of templateXValue[28] . In the templateXLabel[0] ending 2014 , templateTitleSubject[0] templateTitle[2] templateYValue[10] templateScale templateYLabel[0] . The number of templateYLabel[0] templateNegativeTrend to roughly templateYValue[min] templateScale in the last period in consideration .
This statistic shows the templateTitle[0] templateTitle[1] templateTitleSubject[0] templateTitle[3] titles templateTitle[5] as of 2019 . With templateYValue[max] templateScale templateYLabel[2] sold templateTitle[5] , templateXValue[0] 7 was the templateTitle[0] templateTitle[1] templateTitleSubject[0] templateTitle[3] game as of 2019 .
The statistic shows the templateTitle[2] of templateTitleSubject[1] templateTitle[4] templateTitle[5] ( social media ) of the NFL franchise templateTitleSubject[0] templateTitle[1] from 2012 to 2019 . In 2019 , the templateTitleSubject[1] page of the templateTitleSubject[0] templateTitle[1] football team had templateValue[1][0] templateScale templateLabel[1][1] .
This statistic shows the templateTitleSubject[0] templateYLabel[1] templateTitle[1] templateTitle[2] the templateTitle[3] templateYLabel[2] in templateYLabel[1] templateTitle[6] as of 2016 . templateTitleSubject[0] templateYLabel[1] to templateXValue[0] templatePositiveTrend by templateYValue[max] templateScale in templateTitleDate[0] compared templateTitle[2] the previous year . In 2017 , the Caribbean was the leading international destination for a spring vacation according to U.S. respondents .
This graph depicts the templateYLabel[0] templateYLabel[1] templateYLabel[2] for templateTitleSubject[0] games of the National Basketball Association from templateXValue[last] to templateXValue[0] . In the templateXValue[last] season , the templateYLabel[0] templateYLabel[1] templateYLabel[2] was templateYValue[max] templateYLabel[3] .
This statistic shows the templateYValue[2] templateTitleSubject[0] templateTitle[1] the templateTitle[2] templateTitle[3] templateTitle[4] in the world templateTitle[5] templateTitleDate[min] to templateTitleDate[max] . Over the past decade , templateXValue[0] has demonstrated the templateTitle[2] economic templateYLabel[3] rate templateTitle[1] templateYLabel[1] templateYLabel[0] templateYLabel[2] templateYLabel[3] sitting as high as templateYValue[max] templateScale . The overall quarterly templateYLabel[2] templateYLabel[3] in the country can be found here .
This statistic depicts the templateTitle[0] of templateTitle[1] templateTitle[2] in templateTitleSubject[0] in templateValue[0][last] and templateValue[0][0] , templateTitle[6] templateTitle[7] . In templateValue[0][last] , templateLabel[1][0] templateLabel[1][1] automobiles and templateLabel[1][4] generated a templateTitle[0] of templateValue[1][last] templateScale in the total templateTitle[2] in templateTitleSubject[0] .
This statistic shows the templateYLabel[0] of templateTitleSubject[1] in templateTitleSubject[0] ( templateTitleSubject[1] ) from templateXValue[last] to templateTitle[7] templateTitleDate[0] . The templateYLabel[0] is the templateYLabel[1] that divides a templateTitle[2] into two numerically equal groups ; that is , half of the templateYLabel[0] in templateTitleSubject[0] templatePositiveTrend by in 2016 . The templateYLabel[0] of templateTitleSubject[0] reached a templateYLabel[0] that was templateYValue[max] templateScale in 2019 .
This statistic depicts the volume of international templateTitle[1] templateYLabel[0] templateTitle[3] templateTitle[4] container ships from templateXValue[min] through templateXValue[max] . Globally , templateTitle[1] containerized cargo amounted to around templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] in templateXValue[idxmax(Y)] .
This statistic shows the compound annual growth rate of the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] between templateYLabel[2] and templateYLabel[3] , templateTitle[9] templateXLabel[0] . During that period , the compound annual growth rate of templateXValue[last] American templateTitle[1] templateTitle[4] templateTitle[2] was estimated at templateYValue[min] templateScale . Global templateTitle[1] MarketTraveling has templatePositiveTrend to a great extent with the rise in urbanization and leisure activities .
The statistic shows the distribution of templateTitle[0] in templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , templateValue[1][0] templateScale of the employees in templateTitleSubject[0] were active in the agricultural templateTitle[3] , templateValue[2][0] templateScale in templateLabel[2][0] and templateValue[3][0] templateScale in the service templateTitle[3] .
This table ranks the 50 states of the templateTitle[3] and the templateXValue[2] of templateXValue[2] by their templateYLabel[0] templateYLabel[1] . In templateTitleSubject[0] templateTitleDate[0] , about templateYValue[43] templateScale of templateXValue[44] 's population was unemployed . The highest templateYLabel[0] templateYLabel[1] recorded was in templateXValue[0] at templateYValue[max] templateScale .
This graph depicts the templateYLabel[0] templateYLabel[1] templateYLabel[2] for templateTitleSubject[0] games of the National Basketball Association from templateXValue[last] to templateXValue[0] . In the templateXValue[last] season , the templateYLabel[0] templateYLabel[1] templateYLabel[2] was templateYValue[min] templateYLabel[3] templateYLabel[4] .
The statistic shows the templateTitle[3] templateTitle[4] templateYLabel[2] rate of the templateTitleSubject[0] templateYLabel[0] templateYLabel[1] from templateXValue[min] to templateXValue[max] . The templateYLabel[0] templateYLabel[1] is expected to grow by templateYValue[2] templateScale from templateXValue[3] to templateXValue[2] .
templateYLabel[1] are a popular choice in Europe when it comes to pet ownership , although we do n't see them outside as often as their canine friends . As shown in this statistic , templateXValue[0] and templateXValue[1] are the two countries leading the list of cat owners in the EU , with the former 's narrow win . While templateXValue[0] also ranks as the top EU templateXLabel[0] with the highest templateYLabel[0] of pet dogs , templateYLabel[1] still win in templateTitleSubject[0] households .
This statistic shows the templateTitleSubject[0] and territories templateTitle[1] the templateTitle[2] projected templateTitle[3] templateTitle[4] between templateTitleDate[min] and templateTitleDate[max] . Between templateTitleDate[min] and templateTitleDate[max] , templateXValue[0] is projected to have the templateTitle[2] templateTitle[3] templateTitle[4] , templateTitle[1] an templateYLabel[0] of templateYValue[min] templateYLabel[2] born templateYLabel[3] templateYLabel[4] .
This statistic presents the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[5] in the templateTitle[0] from templateXValue[min] to templateXValue[max] . According to the report , the templateTitleSubject[0] templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[5] amounted to approximately templateYValue[idxmax(X)] templateYLabel[3] in templateXValue[max] .
In templateValue[0][0] , the templateTitle[1] of templateTitle[0] in templateTitleSubject[0] was six templateScale – the lowest it had been in a decade . There were real regional differences within the country though . The templateLabel[1][0] templateTitle[6] did particularly well economically , with an templateTitle[0] templateTitle[1] of templateValue[1][0] templateScale in templateValue[0][0] .
This statistic shows the templateTitle[0] of the templateTitle[1] templateTitle[2] templateTitle[3] ( templateTitle[4] ) templateTitle[5] templateTitle[6] templateTitle[7] in templateTitleSubject[0] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , templateLabel[1][0] contributed around templateValue[1][0] templateScale to the templateTitle[4] of templateTitleSubject[0] , templateValue[2][0] templateScale came from the templateLabel[2][0] and templateValue[3][0] templateScale from the service sector .
This statistic shows the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] from templateTitleDate[min] to templateTitleDate[max] , templateTitle[7] templateTitle[8] . In 2014 , the templateValue[0][6] templateTitleSubject[0] templateTitle[1] in the templateValue[0][6] was around templateValue[1][1] templateScale U.S. dollars .
templateTitle[1] travel templateYLabel[1] have been recorded in each of the last 12 years , with a total of templateYValue[0] deaths in templateXValue[max] due to templateTitle[1] crashes . However , despite some pronounced year-to-year differences , the overall trend has been for a reduction in the templateYLabel[0] of templateYLabel[1] – a trend confirmed when looking at a slightly longer or much longer time frame . Fatal airline accidents According to the Convention on International Civil Aviation , templateTitle[1] templateTitle[2] templateYLabel[1] refer to an incident where a person is fatally injured due to an occurrence associated with the operation of the aircraft .
This statistic shows the development of templateTitleSubject[0] 's templateYLabel[0] templateYLabel[1] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] was templateYValue[idxmax(X)] templateScale templateYLabel[3] templateYLabel[4] . The annual templateYLabel[0] templateYLabel[1] growth of the templateYLabel[3] can be accessed here .
This statistic shows the templateTitle[0] of templateTitle[1] templateYLabel[1] in selected countries in templateTitleDate[0] . The templateXValue[0] ( UK ) had the highest templateYLabel[0] of templateYLabel[1] with templateTitle[1] in templateTitleSubject[0] , with a templateTitle[0] of templateYValue[max] templateScale templateYLabel[1] . The templateYLabel[0] of templateYLabel[1] with templateTitle[1] in templateXValue[last] was noticeably less at templateYValue[min] templateScale .
This statistic shows the templateXValue[0] templateYLabel[1] templateTitle[3] templateYLabel[0] of templateTitleSubject[0] as of 2017 in leading online markets . During the measured period , templateTitleSubject[0] accounted for templateYValue[3] templateScale of templateYLabel[1] templateYLabel[2] in templateXValue[3] . The Microsoft-owned platform accounted for templateYValue[0] templateScale of templateYLabel[1] templateYLabel[2] templateXValue[0] .
This statistic shows the templateTitle[0] of templateTitle[1] and templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the templateTitle[6] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , about templateValue[1][last] templateScale templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in the templateTitle[1] .
This statistic shows the templateYLabel[0] of Scottish templateYLabel[1] templateTitle[3] the rest of the United Kingdom templateTitle[3] templateXValue[min] to templateXValue[max] . With the exception of templateXValue[17] , templateXValue[8] and templateXValue[4] , the templateYLabel[0] of templateTitleSubject[1] templateYLabel[1] has templatePositiveTrend templateTitle[3] templateYValue[idxmin(X)] templateScale in templateXValue[idxmin(Y)] to approximately templateYValue[max] templateScale by templateXValue[idxmax(Y)] .
This statistic shows the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] had amounted to about templateYValue[6] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
The statistic shows a ranking of templateTitle[0] templateTitle[1] templateTitleSubject[0] templateTitle[3] in templateTitleDate[0] , sorted by templateXLabel[0] templateYLabel[1] . With a templateXLabel[0] templateYLabel[1] of approximately templateYValue[max] templateScale templateYLabel[3] , the templateTitleSubject[0] automotive manufacturer templateXValue[0] was the templateTitle[0] templateTitle[1] templateTitleSubject[0] templateXLabel[0] in templateTitleDate[0] , marginally ahead of automotive rival templateXValue[1] . The two car templateTitle[3] have a large margin to the next templateXLabel[0] on the list , with templateXValue[2] valued at roughly half of templateXValue[1] 's templateYLabel[1] , at templateYValue[2] templateScale euros.Despite having the slightly lower templateXLabel[0] templateYLabel[1] in templateTitleDate[0] , templateXValue[1] actually outsold templateXValue[0] in Europe on sheer number of units , selling 748,176 units in templateTitleDate[0] compared with the 737,278 units sold by Mercedes_Benz.Despite leading Germany , neither templateXValue[0] or templateXValue[1] appear on the list of the world 's 20 templateTitle[0] templateTitle[1] templateTitle[3] .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] ( templateYLabel[0] ) templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[7] , with projections up until templateXValue[max] . templateYLabel[0] is the total value of all goods and services produced in a country in a templateXLabel[0] . It is considered to be a very important indicator of the economic strength of a country and a positive change is an indicator of economic growth .
This statistic shows the templateYLabel[0] of the templateTitle[0] templateTitle[1] conditioner/creme rinse templateTitle[3] in the templateTitle[4] in templateTitleDate[0] . In that year , the templateTitle[0] templateTitle[1] templateTitle[2] templateXLabel[0] of the templateTitle[4] was OGX with templateYLabel[0] that amounted to approximately templateYValue[max] templateScale templateYLabel[3] .
As per recent data , in 2020 , templateTitle[1] templateYLabel[0] came to a total of templateYValue[0] templateScale templateYLabel[2] templateYLabel[3] , down from the templateYValue[1] templateScale templateYLabel[2] templateYLabel[3] seen in 2019 . The templateYLabel[0] figures for the first templateXLabel[0] of 2020 represent a third templateXLabel[0] of successive decline since October templateTitleDate[max] .
This statistic shows the templateYLabel[0] of Scottish templateYLabel[1] templateTitle[3] the rest of the United Kingdom templateTitle[3] templateXValue[min] to templateXValue[max] . With the exception of templateXValue[17] , templateXValue[8] and templateXValue[4] , the templateYLabel[0] of templateTitleSubject[1] templateYLabel[1] has templatePositiveTrend templateTitle[3] templateYValue[idxmin(X)] templateScale in templateXValue[idxmin(Y)] to approximately templateYValue[max] templateScale by templateXValue[idxmax(Y)] .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in selected templateTitleSubject[0] American countries in templateTitleDate[0] . The prices concern unleaded premium ( 95 RON ) for templateXValue[1] , templateXValue[3] , templateXValue[0] , templateXValue[4] , and the templateXValue[2] , and regular unleaded for templateXValue[6] , templateXValue[5] , and the templateXValue[2] templateXValue[last] . In templateTitleDate[0] , the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateXValue[2] templateXValue[last] stood at 0.675 templateYLabel[3] templateYLabel[4] templateYLabel[1] templateYLabel[2] .
This statistic shows the templateTitleSubject[0] annual templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[6] templateXValue[min] through templateXValue[max] . In templateXValue[5] , the templateTitleSubject[0] templateYLabel[0] templateTitle[2] templateTitle[3] templateTitle[4] stood at templateYValue[7] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] templateYLabel[5] templateYLabel[6] .
The statistic shows the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in templateTitleDate[min] and templateTitleDate[max] . In templateTitleDate[max] , templateValue[2][max] templateScale of respondents said their templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] technology was templateValue[0][0] modeling ( FDM ) .
This statistic displays the templateTitle[3] of the templateTitleSubject[0] automobile production templateTitle[2] in templateValue[0][last] and templateValue[0][0] , by region . In templateValue[0][0] , the templateLabel[1][0] American templateTitle[2] is projected to have templateTitle[3] of about templateValue[1][0] templateScale units .
This statistic depicts the daily templateScale of the templateTitleSubject[0] templateTitle[2] participating in templateTitle[4] , templateTitle[5] and recreational activities templateTitle[6] templateTitle[7] by gender from templateValue[0][last] to templateValue[0][0] . According to the source , templateValue[2][0] templateScale of templateLabel[2][0] participated in templateTitle[4] , templateTitle[5] and recreational activities every templateTitle[7] in templateValue[0][0] .
In templateXValue[max] , there were about templateYValue[0] templateScale templateYLabel[1] in the templateTitle[4] with a templateTitle[2] mother . This is this templateNegativeTrend from templateXValue[min] levels , when there were about templateYValue[min] templateScale templateYLabel[1] in the templateTitle[4] . templateTitle[2] templateTitle[3] . templateTitle[2] parenthood The typical family is comprised of two parents and at least one child .
This graph depicts the total templateTitle[0] templateTitle[1] templateYLabel[0] templateYLabel[1] of the St. Louis / templateTitleSubject[0] Rams franchise of the National Football League from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitle[1] templateYLabel[0] templateYLabel[1] of the franchise was templateYValue[idxmax(X)] . The franchise moved from St. Louis to templateTitleSubject[0] before the templateXValue[3] templateTitle[1] .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at approximately templateYValue[idxmax(X)] templateScale .
This statistic shows the templateYLabel[0] of templateTitle[2] templateYLabel[1] at templateTitle[3] establishments in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . Since templateXValue[9] there has been an templatePositiveTrend trend in templateYLabel[1] . In templateXValue[max] , the templateYLabel[0] of templateYLabel[1] ( including both foreign and domestic ) at templateTitle[3] in templateTitleSubject[0] amounted to approximately templateYValue[idxmax(X)] templateScale .
This statistic shows the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to about templateYValue[7] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic shows the templateTitle[0] and templateTitle[1] of templateTitleSubject[0] templateTitle[3] in the templateTitle[2] in templateTitleDate[0] , templateTitle[5] templateTitle[6] . In templateTitleDate[0] , about templateValue[1][last] templateScale templateValue[0][4] templateTitle[3] were templateLabel[1][0] templateTitle[3] .
This statistic shows the membership figures of social network templateTitleSubject[0] from the first templateXLabel[0] of 2006 to the third templateXLabel[0] of templateTitleDate[0] . During the second templateXLabel[0] of templateTitleDate[0] , the business professionals social network had templateYValue[26] templateScale templateYLabel[0] .
This statistic shows the templateTitle[0] five templateTitle[1] in templateTitle[2] templateTitle[3] on templateTitle[4] templateTitle[5] in the templateTitle[6] as forecasted by professional chefs for templateTitleDate[0] . During the survey , templateYValue[max] templateScale of the templateYLabel[1] stated that templateXValue[0] items ( e.g . Asian-flavored syrups , Chorizo scrambled eggs , coconut milk pancakes ) would be a `` hot trend '' for templateTitle[4] templateTitle[5] in templateTitleDate[0] .
This statistic shows the templateYLabel[0] of unique templateTitle[4] of templateTitle[0] templateTitle[1] in the templateTitle[2] in templateTitleDate[0] , templateTitle[5] templateXLabel[0] . In templateTitleDate[0] , about templateYValue[14] unique templateTitle[4] of templateTitle[0] templateTitle[1] were templateTitle[3] in templateXValue[14] .
The statistic depicts the templateTitle[2] templateTitle[3] templateTitle[4] at games of the templateTitleSubject[0] ( NBA ) from templateValue[0][last] to templateValue[0][0] . In the templateValue[0][3] season , a 16 ounce templateTitle[5] cost templateValue[1][3] U.S. dollars .
The statistic shows the total templateYLabel[0] for templateTitle[2] sponsorship from templateXValue[min] to templateXValue[max] . In the templateXLabel[0] templateXValue[3] , the templateTitleSubject[0] templateTitle[2] sponsorship templateYLabel[0] amounted to templateYValue[3] templateScale templateYLabel[2] templateYLabel[3] .
The timeline shows the templateYLabel[0] templateYLabel[1] of templateTitle[0] templateTitle[1] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . The templateYLabel[0] templateYLabel[1] of templateTitle[0] templateTitle[1] templateTitleSubject[0] amounted to templateYValue[0] templateYValue[idxmax(X)] templateYLabel[3] templateYLabel[4] in templateXValue[max] .
The statistic shows the templateTitle[0] of the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in templateTitleSubject[0] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , templateValue[1][0] templateScale of the templateTitle[1] were employed in templateLabel[1][0] , templateValue[2][0] templateScale in templateLabel[2][0] and templateValue[3][0] templateScale in templateLabel[3][0] . templateTitle[0] of templateTitle[1] in templateTitleSubject[0] – additional information In templateValue[0][6] , templateTitleSubject[0] was the largest exporting country worldwide with an export value of about two templateScale U.S. dollars .
This statistic shows the templateYLabel[0] of templateTitle[1] traffic templateYLabel[1] per templateXLabel[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , about templateYValue[idxmax(X)] individuals were killed in motor vehicle accidents . An overall templateNegativeTrend in the templateYLabel[0] of templateTitle[1] templateTitle[2] was observed within the time period shown .
This statistic shows the templateYLabel[0] of templateTitleSubject[0] U.S. templateYLabel[1] templateYLabel[2] templateTitle[6] templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[idxmax(X)] templateTitleSubject[0] Navy members in the templateTitle[2] Department of Defense . In templateXValue[14] , there were templateYValue[14] templateTitleSubject[0] members .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] in the templateTitleSubject[0] and the templateTitleSubject[0] templateTitle[6] from templateValue[0][last] to templateValue[0][0] . The figures refer to those younger than 25 years . In templateValue[0][0] , the templateTitle[0] templateTitle[1] templateTitle[2] in the templateTitleSubject[0] amounted to templateValue[2][0] templateScale .
This statistic shows the total templateYLabel[0] of templateYLabel[1] reported in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were a total of templateYValue[idxmax(X)] templateYLabel[1] reported in templateTitleSubject[0] .
This statistic shows the leading types of templateTitle[0] templateTitle[1] templateTitle[2] used in the templateTitle[3] in templateTitleDate[0] , templateTitle[5] templateTitle[6] . The survey revealed that templateValue[1][0] templateScale of templateLabel[1][0] neighborhoods have templateValue[0][0] countertops .
The statistic depicts the templateXLabel[0] templateTitle[1] templateXLabel[1] of the templateTitle[7] clubs in the templateTitle[4] Five templateTitle[6] templateTitleSubject[0] templateTitle[7] templateTitle[8] in the templateTitle[9] season . The templateXLabel[0] templateXLabel[1] from merchandising in the German templateXValue[2] was at templateYValue[max] templateScale templateXLabel[3] templateTitle[10] templateTitle[11] in the templateTitle[9] season .
This statistic shows the templateTitleSubject[0] Business templateTitleSubject[0] templateYLabel[0] from 2019 to 2020 . In 2020 , the templateYLabel[0] amounted to templateYValue[0] . The templateYLabel[0] consists of 10 indicators derived from questions addressing templateTitleSubject[0] owners : Plans to create employment ; plans to make capital outlays ; plans to templatePositiveTrend inventories ; expect economy to improve ; expect real sales higher ; current inventory ; current job openings ; expected credit conditions ; now a good time to expand ; earnings trends .
This statistic shows the share of internet users in the templateTitleSubject[1] who were using templateTitleSubject[0] as of the third quarter templateTitleDate[0] , sorted templateTitle[6] templateTitle[7] . Overall , templateYValue[max] templateScale of templateTitle[4] online users aged 26 to 35 templateXValue[0] used the mobile messaging service .
The statistic presents the templateYLabel[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] at templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . templateYLabel[0] templateYLabel[1] templateYLabel[2] is the core measure of bank 's financial strength from the regulator 's point of view . It is the templateYLabel[3] of bank 's core equity templateYLabel[2] to the total risk-weighted assets .
templateXValue[0] Vecchio , founder of the eyewear company Luxottica , podiumed in the yearly templateTitle[1] of Italian billionaires , published by the American business magazine templateTitleSubject[0] . With the total net worth estimated at templateYValue[max] templateScale templateYLabel[3] , templateXValue[0] put ahead other Italian entrepreneurs - templateXValue[1] , the CEO of the Italian confectionary company templateXValue[1] and the fashion designer templateXValue[2] , whose fortunes reached respectively templateYValue[1] and templateYValue[2] templateScale templateYLabel[1] . Largest eyewear company in the world Luxottica is the largest company in the eyewear sector worldwide .
This statistic shows templateXValue[last] templateTitleSubject[0] templateTitle[2] templateYLabel[0] templateYLabel[1] templateTitle[5] geographical templateTitle[6] in templateTitleDate[0] , measured in templateScale templateYLabel[3] of templateYLabel[4] templateYLabel[5] . In the templateXValue[2] , there was a templateXValue[last] of approximately templateYValue[2] templateScale templateYLabel[3] of templateYLabel[4] templateYLabel[5] in templateTitleDate[0] . templateXValue[last] templateTitleSubject[0] is one of the world templateTitle[2] largest templateYLabel[4] and gas companies .
Throughout this period the European Union was the key source of templateTitle[0] templateTitle[1] to the templateTitleSubject[0] , with templateTitle[2] peaking in templateValue[0][5] at 109,000 metric tons . The following templateLabel[0][0] templateTitle[2] from the templateLabel[1][0] templateNegativeTrend to 42,000 metric tons , and templateTitle[8] templateValue[0][1] templateLabel[6][0] emerged as the main exporter . templateTitle[0] templateTitle[1] of the templateTitleSubject[0] templateTitle[2] templateTitle[3] and templateTitle[4] is a measure of a company 's profitability .
This statistic depicts the templateYLabel[0] templateYLabel[1] of the templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the templateTitle[6] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[3] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] generated about templateYValue[0] templateScale templateYLabel[3] templateYLabel[4] in templateYLabel[0] templateYLabel[1] .
The statistic shows templateTitle[0] templateTitle[1] templateTitle[2] ( templateYLabel[0] ) templateYLabel[1] templateYLabel[2] in the templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . templateYLabel[0] is the total value of all goods and services produced in a country in a templateXLabel[0] . It is considered to be a very important indicator of the economic strength of a country and a positive change is an indicator of economic growth .
In templateXValue[max] , approximately a third of the total templateYLabel[2] in templateTitleSubject[0] lived in cities . The trend shows an templatePositiveTrend of templateTitle[0] by almost 4 templateScale in the last decade , meaning people have moved away from rural areas to find work and make a living in the cities . Leaving the field Over the last decade , templateTitle[0] in templateTitleSubject[0] has templatePositiveTrend by almost 4 templateScale , as more and more people leave the agricultural sector to find work in services .
templateTitleSubject[0] Park in the templateTitle[5] attracted a total of approximately templateYValue[0] templateScale templateYLabel[1] in templateXValue[max] , down from its visitation peak of templateYValue[max] templateScale in templateXValue[idxmax(Y)] . A templateTitleSubject[0] uniting nations templateTitleSubject[0] Park 's name derived from the many glaciers that shaped its topography for over templateYValue[4] templateScale years . Located in Montana on the Canada-U.S. border , templateTitleSubject[0] Park is the second half of the Glacier-Waterton International Peace templateTitleSubject[0] , the first half being Waterton Lakes templateTitleSubject[0] in Canada .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in the templateTitleSubject[0] templateTitle[6] templateTitle[7] templateTitle[8] from templateTitleDate[min] to templateTitleDate[max] . During the survey , templateValue[1][3] templateScale of respondents in the templateValue[1][last] to templateLabel[1][1] olds group stated they were unemployed .
The graph shows the templateTitle[0] and templateTitle[1] of templateTitleSubject[0] templateTitle[3] in the templateTitle[2] in templateTitleDate[0] , templateTitle[5] templateTitle[6] . In templateTitleDate[0] , about templateValue[1][last] templateScale templateValue[0][4] templateTitle[3] were templateLabel[1][0] templateTitle[3] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] .The templateYLabel[0] templateYLabel[1] is the templateYLabel[1] that divides a templateTitle[2] into two numerically equal groups ; that is , half the people are younger than this templateYLabel[1] and half are older . It is a single index that summarizes the templateYLabel[1] distribution of a templateTitle[2] . In templateXValue[7] , the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] African templateTitle[2] was templateYValue[7] templateYLabel[2] .
This statistic shows the survey on templateXValue[0] usage in the templateTitleSubject[0] in templateTitleDate[0] . According to the survey , templateYValue[0] templateScale of the templateYLabel[1] used an templateXValue[0] , while templateYValue[max] templateScale did not . templateYValue[min] templateScale of templateYLabel[1] said they did n't templateXValue[last] if they used templateXValue[0] blocking software .
This statistic shows the templateYLabel[1] of the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in templateTitleDate[0] , templateTitle[6] templateXLabel[0] . In that year , the templateTitle[2] templateTitle[3] rate in templateXValue[0] was estimated to be templateYValue[min] templateScale .
This statistic shows the templateYLabel[0] templateYLabel[1] generated by templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] reported a templateYLabel[0] templateYLabel[1] of templateYValue[4] templateScale templateYLabel[3] templateYLabel[4] . In templateXValue[8] , templateTitleSubject[0] had a global workforce of 100 thousand employees .
The statistic shows the templateTitle[0] of the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in templateTitleSubject[0] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , templateValue[1][0] templateScale of the templateTitle[1] were employed in templateLabel[1][0] , templateValue[2][0] templateScale in templateLabel[2][0] and templateValue[3][0] templateScale in templateLabel[3][0] . templateTitle[0] of templateTitle[1] in templateTitleSubject[0] – additional information In templateValue[0][6] , templateTitleSubject[0] was the largest exporting country worldwide with an export value of about two templateScale U.S. dollars .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in the templateTitleSubject[0] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , women in households with an templateLabel[1][0] templateLabel[1][1] the templateTitle[3] threshold had the highest templateTitle[0] templateTitle[1] at templateValue[1][0] births per 1,000 women .
This graph depicts the templateYLabel[0] templateTitle[0] templateTitle[1] home templateYLabel[1] of the templateTitleSubject[0] Dodgers from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateTitle[0] templateTitle[1] home templateYLabel[1] of the templateTitleSubject[0] Dodgers was templateYValue[max] templateYValue[idxmax(X)] • templateTitleSubject[0] Dodgers total home templateYLabel[1] • Major League Baseball templateYLabel[0] per game templateYLabel[1] • Major League Baseball total templateYLabel[1]
A 2017 survey of templateTitleSubject[0] adults found that approximately templateYValue[max] templateScale of American templateXValue[0] and templateYValue[min] templateScale of American templateXValue[last] currently smoke templateTitle[4] . Impact of Legalizing Cannabis in the templateTitle[0] . Since Washington and Colorado legalized recreational templateTitle[4] in 2012 , several more states have followed suit .
This statistic shows the leading templateTitleSubject[0] templateTitle[1] the templateTitle[2] templateYLabel[0] templateYLabel[1] in templateTitleDate[0] . templateTitle[1] defense templateYLabel[1] totaling USD templateYValue[max] templateScale , the templateXValue[0] ranked first . Worldwide leaders in templateYLabel[0] templateYLabel[1] The templateXValue[6] States lead the globe in templateYLabel[0] templateYLabel[1] in templateTitleDate[0] .
This statistic shows the templateTitle[0] templateTitle[1] the largest templateYLabel[0] of templateTitle[3] templateTitle[4] templateYLabel[2] templateTitle[6] in the templateTitle[7] in templateTitleDate[0] . According to the source , Connecticut was the templateXLabel[0] templateTitle[1] the templateTitle[2] templateTitle[3] templateTitle[4] templateYLabel[2] templateTitle[6] in templateTitleDate[0] templateTitle[1] templateYValue[max] templateYLabel[1] to every templateYLabel[3] thousand templateYLabel[5] .
This statistic shows the templateTitle[0] templateTitle[1] templateYLabel[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitleSubject[0] in templateTitleDate[0] . In templateTitleDate[0] , the templateTitle[0] templateTitle[1] templateYLabel[2] templateTitle[3] of templateTitleSubject[0] was templateXValue[0] , with a templateYLabel[0] of templateYValue[max] templateScale in exports .
The statistic shows the templateYLabel[0] of the templateTitleSubject[0] franchise from the templateXValue[last] season to the templateXValue[0] season . In templateXValue[0] , the estimated templateYLabel[0] of the National Basketball Association franchise amounted to templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] .
The statistic shows the templateTitle[0] of templateTitle[1] templateTitle[2] in the templateTitleSubject[0] from templateTitleDate[min] to templateTitleDate[max] , templateTitle[8] templateTitle[9] . In templateTitleDate[max] , there were templateValue[2][max] templateTitle[1] templateTitle[2] in the templateTitleSubject[0] .
The statistic shows the templateTitle[5] of various segments of the templateTitle[1] templateTitle[2] templateTitle[3] ( VPN ) templateTitle[4] worldwide in templateValue[0][last] with a forecast to templateValue[0][0] . In templateValue[0][0] , the templateTitle[5] of the multiprotocol label switching VPN templateTitle[4] is expected to grow from templateValue[3][last] templateScale U.S. dollars to templateValue[3][0] templateScale U.S. dollars worldwide . Overall , the templateTitleSubject[0] VPN templateTitle[4] is valued at 45 templateScale U.S. dollars in templateValue[0][last] and forecast for 70 templateScale U.S. dollars in templateValue[0][0] .
This statistic presents the templateTitle[2] of users in the templateTitleSubject[0] accessing templateTitle[0] . As of the third quarter of templateTitleDate[0] , it was found that templateYValue[max] templateScale of templateTitle[4] templateTitle[0] users accessed the social platform templateXValue[0] .
The statistic shows the market templateYLabel[0] of templateTitleSubject[0] in the templateTitle[3] templateTitle[4] market ( unit templateYLabel[1] ) from the first templateXLabel[0] of templateXValue[0] to the third templateXLabel[0] of templateXValue[0] . In the fourth templateXLabel[0] of templateXValue[0] , templateTitleSubject[0] templateTitle[1] market templateYLabel[0] in the templateTitle[4] market was at templateYValue[0] templateScale .
In the last decade , the templateTitle[1] of the city of templateTitleSubject[0] templatePositiveTrend by roughly 55,000 . In templateXValue[min] , templateTitleSubject[0] had approximately 300,000 templateYLabel[1] . By templateXValue[max] , the templateYLabel[0] of templateYLabel[1] had grown to nearly 353,000 .
This statistic displays the templateTitle[0] templateYLabel[0] of templateTitle[2] templateTitle[3] in the templateTitleSubject[0] ( templateTitleSubject[1] ) from templateTitleDate[min] to templateTitleDate[max] . The templateTitle[0] templateYLabel[0] of templateTitle[2] templateTitle[3] was valued at templateYValue[max] templateScale templateYLabel[2] .
This statistic shows the templateYLabel[1] rate of the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in templateTitleDate[0] . In that year , templateXValue[2] accounted for templateYValue[2] templateScale of the templateYLabel[1] templateYLabel[2] .
templateLabel[2][0] is the largest source of templateTitle[2] for templateTitleSubject[0] . In 2018/2019 , the club earned approximately templateValue[2][0] templateScale euros from templateLabel[2][0] , more than triple than in 2010/2011 . The second biggest templateTitle[2] templateTitle[4] is the templateLabel[3][0] one .
This statistic shows the templateTitle[1] with the lowest templateYLabel[1] of natural disasters templateTitle[2] to the Global templateYLabel[1] templateYLabel[2] in templateTitleDate[0] . At this time , templateXValue[0] , with an templateYLabel[2] value of templateYValue[min] , was the templateTitle[0] templateXLabel[0] in the templateYLabel[0] . In the framework of the WorldRiskIndex , disaster templateYLabel[1] is analyzed as a complex interplay of natural hazards and social , political and environmental factors .
The statistic depicts the templateYLabel[0] of templateYLabel[1] templateYLabel[2] to the templateTitle[3] templateTitle[4] templateTitle[5] ( templateYLabel[3] ) in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[5] , the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] templatePositiveTrend by about templateYValue[6] templateScale .
This statistic presents the templateYLabel[0] of templateYLabel[1] templateYLabel[2] at least one templateTitle[0] in the templateTitleSubject[0] by templateXLabel[0] in templateTitleDate[0] . templateXValue[0] and templateXValue[1] ranked highest with templateYValue[max] templateScale of templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateTitleDate[0] , followed templateTitle[5] the templateXValue[2] with templateYValue[2] templateScale .
The templateYLabel[0] templateYLabel[1] of templateTitle[0] templateTitle[1] manufactured in the templateTitleSubject[1] was approximately 40 thousand tons in templateXValue[max] , an templatePositiveTrend of over eight thousand tons from templateXValue[1] . This constitutes a recovery of the production templateYLabel[1] , which collapsed between templateXValue[min] and templateXValue[7] and templateNegativeTrend by just under eighty templateScale , before it stagnated in the early 2010s . A stagnating market ? The corresponding developments in templateYLabel[0] values give the same picture as above .
This statistic displays the templateTitle[0] templateYLabel[0] of templateTitle[2] templateTitle[3] in the templateTitleSubject[0] in templateXValue[min] and provides a forecast for templateXValue[max] . In templateXValue[min] , the templateTitle[0] templateYLabel[0] of templateTitle[2] templateTitle[3] pertaining to grocery and consumable products amounted to about templateYValue[min] templateScale templateYLabel[2] templateYLabel[3]
This statistic shows the templateTitle[0] templateYLabel[0] of templateYLabel[1] of templateTitleSubject[0] templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] employed a templateTitle[0] of templateYValue[idxmax(X)] people throughout the world . templateTitleSubject[0] is the world 's largest cosmetics and beauty company , concentrating on hair color , skin care , sun protection , make-up , perfumes , and hair care .
This statistic presents the templateTitle[0] networking reach in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , templateYValue[idxmin(X)] templateScale of the templateYLabel[1] in the country accessed templateTitle[0] templateTitle[1] . In templateXValue[4] , this templateYLabel[0] is projected to reach templateYValue[4] templateScale .
In the final templateXLabel[0] of templateXValue[36] , The templateTitleSubject[0] Times templateTitleSubject[0] generated a total templateYLabel[0] of templateYValue[last] templateScale templateYLabel[2] templateYLabel[3] , indicating a small templatePositiveTrend from the corresponding templateXLabel[0] of templateXValue[32] . The fourth templateXLabel[0] of the year is generally the one in which the templateTitleSubject[0] makes the most templateYLabel[0] , and at the end of templateXValue[32] the figure surpassed 500 templateScale for the first time in years .
This statistic depicts the templateYLabel[0] of templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . According to the report , around templateYValue[max] thousand babies were born in templateTitleSubject[0] in templateXValue[idxmax(Y)] , an templatePositiveTrend from the previous templateXLabel[0] were templateYValue[1] thousand babies were born .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[1] templateTitle[2] in the templateTitle[3] from templateXValue[min] to templateXValue[max] . In templateXValue[6] , the templateYLabel[0] templateYLabel[1] of templateTitle[1] templateTitle[2] in the templateTitle[3] amounted to about templateYValue[min] templateScale .
This statistic shows the degree of templateTitle[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . templateTitle[0] means the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateYLabel[3] templateYLabel[2] of a country . In templateXValue[max] , templateYValue[idxmax(X)] templateScale of templateTitleSubject[0] 's templateYLabel[3] templateYLabel[2] lived in templateYLabel[1] areas and cities .
This statistic presents the templateXLabel[0] templateYLabel[1] of the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in the templateTitle[5] in templateTitleDate[0] . The survey revealed that templateXValue[0] had the highest templateYLabel[1] of the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] , with a templateYLabel[1] of templateYValue[max] templateScale .
The statistic represents templateTitleSubject[0] 's total templateYLabel[0] worldwide between templateXValue[min] and templateXValue[max] . The templateTitleSubject[0] Group is a multinational exploration , development , production , and processing corporation . It is headquartered in London , UK .
The statistic shows the templateTitle[0] templateTitle[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitle[1] in templateTitleSubject[0] amounted to about templateYValue[idxmax(X)] templateYLabel[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic shows the total templateTitleSubject[0] ( UK ) templateTitle[4] templateYLabel[0] templateYLabel[1] templateYLabel[2] from fiscal templateXLabel[0] templateXValue[last] to fiscal templateXLabel[0] templateXValue[0] . The overall trend was one of templatePositiveTrend , seeing a peak in templateXValue[0] with 27.99 templateScale British pounds and a total rise of over 5 templateScale British pounds throughout this period .
This statistic shows the amount of templateTitle[0] produced in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , more than templateYValue[max] templateScale templateYLabel[2] of templateTitle[0] were produced in the templateTitle[2] . China was the largest templateTitle[0] producer worldwide in templateXValue[1] .
This statistic shows the global templateTitle[1] templateTitle[9] templateTitle[3] templateTitle[4] as of 2017 , templateTitle[7] templateTitle[1] templateTitle[2] size . During the survey period , it was found that templateLabel[3][0] accounted for templateValue[3][1] templateScale of single-word templateTitle[1] queries templateTitle[5] .
The statistic shows a templateTitle[0] for templateYLabel[0] from templateTitle[1] cartridges in templateTitleSubject[0] between templateXValue[min] and templateXValue[max] . In templateXValue[max] , templateYLabel[0] of about templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] are expected .
The statistic shows the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in templateTitleDate[min] and templateTitleDate[max] . As of templateTitleDate[max] , templateValue[2][max] templateScale of respondents said their templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] technology was templateValue[0][0] modeling ( FDM ) .
This statistic shows the templateYLabel[0] templateTitle[1] templateTitle[2] of the templateTitle[3] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] , on a historical-cost basis . In templateXValue[max] , the templateYLabel[3] templateYLabel[1] made in templateTitleSubject[0] were valued at approximately templateYValue[idxmax(X)] templateScale templateYLabel[3] templateYLabel[4] . templateYLabel[0] templateTitle[1] templateTitle[2] of the templateTitle[3] - additional information Foreign templateYLabel[0] templateTitle[1] ( FDI ) , simply put , is an templateTitle[1] of one company into another company located in a different country .
The statistic depicts the templateYLabel[0] of the templateTitleSubject[0] , a franchise of the National Football League , from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of the templateTitleSubject[0] was templateYValue[max] templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
This statistic shows the total templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitleSubject[0] in templateTitleDate[0] , by templateXLabel[0] . In templateTitleDate[0] , about templateYValue[max] templateScale of the templateYLabel[1] templateYLabel[2] was employed . In total , around templateYValue[5] templateScale of all Americans were templateXValue[last] .
The statistic shows the templateYLabel[0] of templateYLabel[1] in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were a total templateYValue[idxmax(X)] templateYLabel[1] reported in the templateTitleSubject[0] .
This statistic shows the number of templateTitle[1] and templateTitle[2] due to templateTitle[0] from the templateTitle[5] in templateTitleSubject[0] Africa which lasts since 2014 . As of 30 , templateTitleDate[0] , there have been templateValue[1][1] templateTitle[1] in templateValue[0][1] , resulting in templateValue[2][1] templateTitle[2] . The templateTitle[0] virus causes extremely severe hemorrhagic fever and is considered a Risk Group templateValue[1][6] Pathogen templateTitle[6] the World Health Organization ( WHO ) .
This statistic shows the templateScale of templateYLabel[2] that speak English as an Additional Language ( templateTitle[1] ) at templateYLabel[1] templateTitle[4] in templateXValue[5] as of 2016 , templateTitle[6] templateXLabel[0] . With over half of its templateYLabel[2] as non-native speakers of English , templateXValue[0] had the highest templateScale of templateYLabel[2] with templateTitle[1] , at the other end of the spectrum , the templateXValue[4] templateXValue[5] and the templateXValue[7] templateXValue[2] remained regions with the highest percentages of native English speaking templateYLabel[2] . This also reflects the National Census data for languages .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] ( templateYLabel[0] ) templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[7] , with projections up until templateXValue[max] . In templateXValue[6] , the templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] was around templateYValue[7] templateYLabel[3] templateYLabel[4] . templateTitleSubject[0] 's economy templateYLabel[0] templateYLabel[1] templateYLabel[2] is a measurement often used to determine economic growth and potential increases in productivity and is calculated by taking the templateYLabel[0] and dividing it by the total population in the country .
This statistic shows the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to about templateYValue[6] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic shows the templateTitle[3] stadium templateYLabel[0] for the templateTitleSubject[0] Championships from templateTitleDate[min] to templateXValue[max] . A templateTitle[3] of templateYValue[1] templateScale people watched the matches of the templateTitleSubject[0] EURO templateXValue[1] tournament live in the stadiums .
This graph depicts the templateYLabel[0] templateYLabel[1] templateYLabel[2] for templateTitleSubject[0] games in the National Football League from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] templateYLabel[2] was at templateYValue[idxmax(X)] templateYLabel[3] templateYLabel[4] .
This statistic gives information on the templateTitle[1] templateTitle[2] of templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] as of October templateTitleDate[0] . During this period of time , templateYValue[min] templateScale of Indian templateYLabel[1] templateYLabel[2] were templateXValue[0] . The majority of templateYLabel[1] templateYLabel[2] were templateXValue[last] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] and templateTitle[4] templateTitle[5] in the templateTitle[6] , Saui-Arabia , and templateValue[0][3] , as at templateTitleDate[0] . As at templateTitleDate[0] , the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in the templateTitle[6] amounted to templateValue[1][2] templateValue[0][1] dollars per ton , whereas the templateTitle[4] templateLabel[2][3] amounted to templateValue[2][2] templateValue[0][1] dollars per ton . templateTitle[0] templateTitle[1] is mainly used for the manufacture of antifreeze formulations and polyesters .
This statistic shows the templateTitle[3] templateTitle[4] of templateTitle[0] and templateTitle[1] to templateTitleSubject[0] templateTitle[6] from templateTitleDate[min] to templateTitleDate[max] , templateTitle[9] templateTitle[10] . templateTitle[0] and templateTitle[1] directly contributed approximately templateValue[2][2] templateScale jobs to the templateValue[0][1] templateValue[0][0] Asian economy in templateTitleDate[max] .
This statistic displays the templateValue[0][0] rate of individuals suffering templateTitle[1] an templateTitle[2] templateTitle[3] in the templateTitleSubject[0] in templateTitleDate[0] . Approximately templateValue[1][0] templateScale of sufferers of templateLabel[1][0] templateLabel[1][1] and templateValue[2][0] templateScale of sufferers of templateLabel[2][0] templateLabel[1][1] make a templateValue[0][0] .
This statistic shows the results of a templateTitleDate[0] survey regarding patriotism in the templateTitle[4] . The templateYLabel[1] were asked how proud they are to be an templateTitleSubject[0] . In templateTitleDate[0] , some templateYValue[max] templateScale of survey templateYLabel[1] stated they were templateXValue[0] proud to be an templateTitleSubject[0] .
This statistic shows the templateYLabel[0] of unique templateTitle[4] of templateTitle[0] templateTitle[1] in the templateTitle[2] in templateTitleDate[0] , templateTitle[5] templateXLabel[0] . In templateTitleDate[0] , about templateYValue[max] templateScale templateYLabel[1] were committed in templateXValue[0] .
This statistic shows the estimated templateScale of templateYLabel[0] templateYLabel[1] a templateTitle[0] in the templateTitleSubject[0] ( templateTitleSubject[1] ) from templateTitleDate[min] to templateXValue[max] . Since templateXValue[5] , the share of household templateYLabel[1] templateYLabel[2] in the templateTitleSubject[1] has templatePositiveTrend , with an estimated templateYValue[0] templateScale templateYLabel[1] one in templateXValue[7] . However , the share of household templateYLabel[1] templateYLabel[2] templateNegativeTrend to templateYValue[idxmax(X)] templateScale in templateXValue[max] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] the leading operating systems for smartphones in templateTitleSubject[0] from templateTitleDate[min] to templateTitleDate[max] . In 2019 the templateLabel[1][0] operating system had a templateTitle[0] templateTitle[1] of templateValue[1][0] templateScale in templateTitleSubject[0]
This statistic shows the templateTitle[1] templateTitle[2] of templateTitleSubject[0] templateTitle[4] templateTitle[5] templateTitle[6] templateTitle[7] from fiscal year templateTitleDate[min] to templateTitleDate[max] , broken down templateTitle[10] templateTitle[11] . In the second templateLabel[0][0] of FY2019 , templateTitleSubject[0] sold templateValue[2][24] templateScale templateLabel[5][0] .
This graph shows the templateScale of templateTitle[5] of the templateTitleDate[0] presidential elections in the country on 6 , templateTitleDate[0] , templateTitle[6] templateLabel[0][1] . According to the templateTitle[2] templateTitle[3] , about templateValue[1][0] templateScale of voters with an templateLabel[0][0] templateLabel[0][1] of less than templateValue[0][0] templateLabel[0][2] templateLabel[0][3] nationwide have voted for templateLabel[1][0] templateLabel[1][1] .
This statistic shows the templateTitle[3] of the templateTitle[0] templateTitle[1] templateTitle[2] in the templateTitleSubject[0] ( templateTitleSubject[1] ) from templateTitleDate[min] to templateTitleDate[max] , templateTitle[9] templateTitle[10] . In templateTitleDate[max] , the largest templateTitle[3] was held templateTitle[9] templateValue[0][0] templateValue[0][3] , accounting for templateValue[4][max] templateScale of the templateTitle[0] templateTitle[1] templateTitle[2] , followed templateTitle[9] templateValue[0][1] templateValue[0][3] ( templateValue[4][1] templateScale ) . The templateTitle[2] templateTitle[3] of templateTitle[0] templateTitle[1] types in the templateTitleSubject[0] is predominantly made up of templateValue[0][7] , with the value of the templateTitle[2] experiencing year on year increases .
The statistic shows the templateYLabel[0] of templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . The templateYLabel[0] of templateYLabel[1] peaked in templateXValue[max] , with over 110,000 templateYLabel[1] .
This statistic shows the templateYLabel[0] of templateTitle[2] templateYLabel[1] at templateTitle[3] establishments in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of templateYLabel[1] in travel templateTitle[3] ( including both international and domestic tourists ) amounted to approximately templateYValue[idxmax(X)] templateScale .
The statistic shows the templateYLabel[1] in real templateYLabel[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , templateTitleSubject[0] 's real templateTitle[0] templateTitle[1] templateTitle[2] templatePositiveTrend by around templateYValue[6] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic show the templateYLabel[1] templateTitle[2] templateTitle[3] templateYLabel[2] between templateXValue[min] and templateXValue[max] .
This statistic shows the world 's templateTitleSubject[0] 10 templateTitle[2] of templateTitle[3] templateTitle[4] in templateTitleDate[0] . In that year , templateXValue[0] was the templateTitleSubject[0] producer with a templateYLabel[0] volume of nearly templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] , followed by templateXValue[1] with approximately templateYValue[1] templateScale templateYLabel[2] templateYLabel[3] of templateTitle[3] templateTitle[4] . Maize was the templateTitleSubject[0] vegetable based on templateTitle[1] templateYLabel[0] volume in that year .
The statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] to templateTitle[3] templateTitle[4] templateTitle[5] ( templateYLabel[3] ) in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] amounted to about templateYValue[6] templateScale of the country 's templateTitle[3] templateTitle[4] templateTitle[5] .
This statistic shows the templateYLabel[0] of templateTitle[1] templateYLabel[1] in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were a total templateYValue[idxmax(X)] templateYLabel[1] reported in the templateTitle[3] .
The statistic shows templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) denotes the aggregate value of all services and goods produced within a country in any given templateXLabel[0] . templateTitle[3] is an important indicator of a country 's economic power .
This statistic shows the templateYLabel[0] of templateTitle[2] traffic templateYLabel[1] per templateXLabel[0] in templateTitleSubject[0] between templateXValue[min] and templateXValue[max] . In the period of consideration , templateTitle[2] templateYLabel[1] presented an overall trend of decline . The templateXLabel[0] with the lowest amount of templateYLabel[1] was templateXValue[2] , with a total of 207 templateTitle[2] traffic templateYLabel[1] in templateTitleSubject[0] .
The statistic shows the templateYLabel[2] templateTitle[1] the templateTitleSubject[0] television templateTitle[4] templateYLabel[1] templateTitle[1] templateXValue[last] to templateXValue[0] . templateTitle[1] templateXValue[1] to templateXValue[0] the templateTitleSubject[0] generated over templateYValue[1] templateScale pounds in templateYLabel[2] templateTitle[1] its marketing of templateYLabel[0] templateTitle[4] templateYLabel[1] per templateXLabel[0] .
The statistic presents a forecast of the templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . Itt was estimated that the templateXValue[max] templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[0] for templateTitleSubject[0] would be templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] .
The statistic shows information on the monthly templateYLabel[0] of templateTitle[2] templateTitle[3] templateYLabel[1] of Grand Theft Auto templateTitleSubject[0] on templateTitleSubject[0] worldwide as of 2020 . In 2020 , templateTitle[0] templateTitleSubject[0] reached templateYValue[max] thousand templateTitle[3] templateYLabel[1] on templateTitleSubject[0] .
This statistic shows the templateTitle[0] templateTitle[1] templateYLabel[0] in the templateTitle[3] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitle[1] templateYLabel[0] amounted to templateYValue[idxmax(X)] templateScale templateYLabel[2] templateYLabel[3] . Additional information on templateTitle[1] in the templateTitle[3] Since the turn of the millennium , the amount spent on templateTitle[1] in the templateTitle[3] has more than doubled .
This statistic shows the templateYLabel[0] of templateXValue[0] in the templateTitle[1] in templateTitleDate[0] , templateTitle[3] templateXLabel[1] . In templateTitleDate[0] , about templateYValue[max] templateScale templateXValue[0] were counted in the templateTitle[1] .
The statistic shows the templateTitle[2] templateYLabel[0] of the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In the last reported templateXLabel[0] , the templateTitleSubject[0] 's dating templateYLabel[0] amounted to templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] . Up until early 2020 , the templateTitleSubject[0] belongs to IAC and includes online dating platforms such as the eponymous Match.com , OkCupid , Tinder , PlentyofFish and others .
templateLabel[2][0] is the largest source of templateTitle[2] for templateTitleSubject[0] . In 2018/2019 , the club earned approximately templateValue[2][0] templateScale euros from templateLabel[2][0] , more than triple than in 2010/2011 . The second biggest templateTitle[2] templateTitle[4] is the templateLabel[3][0] one .
The statistic shows the distribution of templateTitle[0] in templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , templateValue[1][0] templateScale of the employees in templateTitleSubject[0] were active in the agricultural templateTitle[3] , templateValue[2][0] templateScale in templateLabel[2][0] and templateValue[3][0] templateScale in the service templateTitle[3] .
This statistic shows the templateTitle[1] templateYLabel[0] of nurse templateTitle[2] in templateTitle[3] templateTitle[4] in Canada , sorted templateTitle[5] templateTitle[6] , in templateTitleDate[0] . In templateXValue[0] , around templateYValue[max] templateYLabel[1] were part of the templateTitle[3] templateTitle[4] templateTitle[2] , while in templateXValue[1] there were almost 72,000 templateYLabel[1] .
The statistic presents a forecast of the templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . Itt was estimated that the templateXValue[max] templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[0] for templateTitleSubject[0] would be templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateTitle[5] templateTitle[6] templateTitle[7] in the templateTitle[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , about templateYValue[idxmax(X)] templateYLabel[1] in the templateTitleSubject[0] were templateTitle[5] to be adopted .
This statistic illustrates the annual templateYLabel[0] of templateTitle[1] traffic templateYLabel[1] in templateTitleSubject[0] between templateXValue[min] and templateXValue[max] . In the period of consideration , templateTitle[1] templateYLabel[1] presented a trend of decline in templateTitleSubject[0] despite some oscillation . The peak was recorded in templateXValue[10] , with templateYValue[max] templateYLabel[1] on Romanian roads .
This statistic depicts the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] , according to the templateYLabel[0] Finance valuation methodology . The ranking , provided by The Banker Magazine , is an independent , publicly reported measure of the strength of a templateYLabel[0] and its impact across all business lines and customer groups . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] was valued at templateYValue[idxmax(X)] templateScale templateYLabel[3] templateYLabel[4] and the bank was ranked third in its peer group .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at approximately templateYValue[idxmax(X)] templateScale .
This statistic displays the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateTitleDate[min] to templateTitleDate[max] . In templateTitleDate[max] , templateYLabel[0] in templateTitleSubject[0] was templateYValue[0] templateScale .
This statistic displays the templateTitle[1] of Belgium from templateValue[0][last] to templateValue[0][0] , templateTitle[4] templateTitle[5] . In templateValue[0][last] , Belgium had about templateValue[1][9] templateScale templateLabel[1][0] inhabitants and templateValue[1][3] templateScale templateLabel[2][0] inhabitants . The number templatePositiveTrend for both the templateLabel[1][0] and the templateLabel[2][0] templateTitle[1] , to roughly 5.6 templateLabel[1][0] inhabitants and 5.8 templateLabel[2][0] inhabitants in templateValue[0][0] .
This statistic shows the templateTitle[0] templateTitle[1] the largest templateYLabel[0] of templateTitle[3] templateTitle[4] templateYLabel[2] templateTitle[6] in the templateTitle[7] in templateTitleDate[0] . According to the source , Connecticut was the templateXLabel[0] templateTitle[1] the templateTitle[2] templateTitle[3] templateTitle[4] templateYLabel[2] templateTitle[6] in templateTitleDate[0] templateTitle[1] templateYValue[max] templateYLabel[1] to every templateYLabel[3] thousand templateYLabel[5] .
German vehicle manufacturer templateTitleSubject[0] templateYLabel[1] templateYValue[0] cars in the templateTitleSubject[1] in 2019 . Generally , templateTitle[2] figures were highest in and of each year , with 2018 being a notable exception . The Driver & Vehicle Licensing Agency issues new registration plates in and , which usually corresponds with an templatePositiveTrend templateTitle[2] volume .
This statistic shows the results of a templateTitleDate[0] templateTitle[0] among adult Americans on the templateTitle[1] of templateTitle[2] templateTitle[3] templateTitle[4] . During the templateTitle[0] , templateValue[1][0] templateScale of respondents stated that they perceive templateTitle[2] templateTitle[3] templateTitle[4] as templateLabel[1][0] templateValue[0][0] than templateTitle[2] without templateTitle[4] , while templateValue[2][0] templateScale stated they think tattooed templateTitle[2] are templateLabel[2][0] templateValue[0][0] , and templateValue[3][0] templateScale did not see a templateLabel[3][1] between templateTitle[2] templateTitle[3] or without templateTitle[4] when it comes to being templateValue[0][0] . templateTitle[4] in American society As can be seen above , compared to templateTitle[2] without templateTitle[4] , templateValue[1][0] templateScale of templateTitle[2] find those templateTitle[3] templateTitle[4] to be characteristically templateValue[0][0] while only templateValue[1][1] templateScale of respondents find templateTitle[2] templateTitle[3] templateTitle[4] characteristically templateValue[0][1] .
This statistic shows the This templateXLabel[1] of the templateTitle[0] templateTitle[1] in templateTitleSubject[0] in templateTitleDate[0] . In templateTitleDate[0] , about templateYValue[max] templateScale people were counted in the templateTitle[0] .
In the fourth templateLabel[0][0] of templateTitleDate[max] , templateTitleSubject[0] 's total templateLabel[1][0] templateTitle[3] amounted to 20.74 templateScale U.S. dollars . templateLabel[2][0] templateTitle[3] streams generated templateValue[2][0] templateScale U.S. dollars in revenues . The majority of templateTitleSubject[0] 's ad templateTitle[3] is generated via mobile devices .
The timeline shows the templateTitle[0] templateTitle[1] of templateTitle[2] templateTitle[3] templateTitle[4] in the templateTitleSubject[0] from templateValue[0][last] to templateValue[0][0] . The templateTitle[2] templateTitle[3] spread from templateLabel[2][0] to templateLabel[2][1] amounted to templateValue[2][1] templateTitleSubject[0] cents per pound of templateLabel[2][1] equivalent in the templateTitle[5] in templateValue[0][1] .
This statistic shows the leading 15 templateXLabel[0] models according to the Auto Express Driver Power templateTitleDate[0] survey responses templateTitle[3] on templateXLabel[0] templateTitle[4] templateTitle[5] . The survey was carried templateYLabel[1] by the British automotive magazine online between 2014 and 2015 . templateXValue[0] dominated this category securing the top three spots with the templateXValue[0] , templateXValue[1] , and templateXValue[1] templateXValue[2] models as well as having three other models in the top 15 .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] .The templateYLabel[0] templateYLabel[1] is the templateYLabel[1] that divides a templateTitle[2] into two numerically equal groups ; that is , half the people are younger than this templateYLabel[1] and half are older . It is a single index that summarizes the templateYLabel[1] distribution of a templateTitle[2] . In templateXValue[7] , the templateYLabel[0] templateYLabel[1] of the templateTitle[2] of templateTitleSubject[0] was templateYValue[7] templateYLabel[2] .
This graph depicts the templateYLabel[0] templateTitle[0] templateTitle[1] home templateYLabel[1] of the templateTitleSubject[0] Dodgers from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateTitle[0] templateTitle[1] home templateYLabel[1] of the templateTitleSubject[0] Dodgers was templateYValue[max] templateYValue[idxmax(X)] • templateTitleSubject[0] Dodgers total home templateYLabel[1] • Major League Baseball templateYLabel[0] per game templateYLabel[1] • Major League Baseball total templateYLabel[1]
In templateXValue[max] , the templateYLabel[0] of German templateYLabel[1] templateYLabel[2] amounted to templateYValue[idxmax(X)] templateScale , an templatePositiveTrend compared to the previous templateXLabel[0] at templateYValue[1] templateScale . This templateYLabel[0] has only been templatePositiveTrend in recent years . Considering current German population numbers stand at almost 83 templateScale , such a high templateYLabel[0] of templateYLabel[1] templateYLabel[2] is significant in itself and also for predicting future trends on digitalization and online connectivity in the country .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] of templateTitle[3] templateValue[0][2] care templateValue[0][5] to templateLabel[1][0] and templateLabel[2][0] consumers in the templateTitleSubject[0] , according to a survey conducted in 2013 . templateValue[0][2] moisturising and hydrating templateTitle[2] were considered the templateTitle[0] templateTitle[1] templateTitle[2] templateValue[0][2] both genders , with templateValue[2][0] templateScale of women stating this as templateTitle[1] . The templateValue[0][3] moisturiser market takes up the largest proportion of the templateTitle[3] templateValue[0][2] care market with a share of 41.6 templateScale in templateTitleDate[0] .
This statistic shows the ten templateTitle[0] templateTitle[4] templateTitle[3] , other than English , in templateTitleSubject[0] templateTitle[6] in templateTitleDate[0] , by templateYLabel[0] of templateYLabel[1] . The templateTitle[0] commonly templateTitle[4] templateXLabel[0] was templateXValue[0] with almost templateYValue[max] thousand native templateYLabel[1] , followed by templateXValue[1] and templateTitleSubject[0] .
This statistic shows the templateTitle[1] templateYLabel[0] of nurse templateTitle[2] in templateTitle[3] templateTitle[4] in Canada , sorted templateTitle[5] templateTitle[6] , in templateTitleDate[0] . In templateXValue[0] , around templateYValue[max] templateYLabel[1] were part of the templateTitle[3] templateTitle[4] templateTitle[2] , while in templateXValue[1] there were almost 72,000 templateYLabel[1] .
This statistic depicts the average hourly wage in the templateTitle[1] templateTitle[2] in templateTitleSubject[0] compared to the templateTitle[5] from templateValue[0][last] to templateValue[0][0] . As of 2017 , a templateTitle[1] worker in templateTitleSubject[0] earned approximately templateValue[1][0] templateTitle[5] dollars an hour , whereas the average templateTitle[0] in the templateTitle[5] stood at templateValue[2][0] templateTitle[5] dollars an hour .
This statistic shows the templateYLabel[0] of chemical company templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] generated some templateYValue[idxmax(X)] templateScale templateYLabel[2] templateYLabel[3] of templateYLabel[0] . templateTitleSubject[0] , with full name E. I. du Pont de Nemours and Company , was a U.S.-based chemical company , and one of the largest companies in this industry worldwide .
This statistic shows the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to about templateYValue[6] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
The statistic shows the templateTitle[0] templateTitle[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the templateTitle[0] templateTitle[1] of templateTitleSubject[0] was around templateYValue[6] templateScale people . See Switzerland 's templateTitle[1] figures for comparison .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] .The templateYLabel[0] templateYLabel[1] is the templateYLabel[1] that divides a templateTitle[2] into two numerically equal groups ; that is , half the people are younger than this templateYLabel[1] and half are older . It is a single index that summarizes the templateYLabel[1] distribution of a templateTitle[2] . In templateXValue[7] , the templateYLabel[0] templateYLabel[1] of the templateTitle[2] of templateTitleSubject[0] was templateYValue[7] templateYLabel[2] .
The statistic shows the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , templateYValue[idxmin(X)] templateScale of the templateYLabel[1] users accessed the templateTitle[3] through their templateTitle[1] device . This figure is projected to grow to 59percent in templateXValue[max] .
This statistic shows the result of a survey question designed to find out what is templateTitle[0] templateTitle[1] to templateTitle[4] templateTitle[5] ( templateTitle[6] - templateTitle[7] ) in templateTitleSubject[0] , as of 2013 . The majority of templateYLabel[1] said that their templateXValue[0] is the templateTitle[0] templateTitle[1] thing to them .
This statistic shows the results of a survey conducted in the templateTitle[0] in 2017 , templateTitle[8] templateTitle[9] . templateTitleSubject[0] templateTitle[1] were asked if they could templateValue[0][3] themselves templateValue[0][3] an templateTitle[4] to templateTitle[5] and monitor their templateTitle[6] and exercise . According to the survey , templateValue[1][max] templateScale of those aged templateLabel[1][0] to templateValue[1][max] templateLabel[1][2] utilize a templateTitle[6] templateTitle[4] templateValue[0][0] , compared to only templateValue[3][idxmax(1)] templateScale of those aged templateLabel[4][0] templateLabel[1][2] and templateLabel[4][2] .
This statistic outlines the templateValue[0][2] templateTitle[0] templateTitle[1] in the templateTitle[2] from templateTitleDate[min] to templateTitleDate[max] , by mine type . In templateTitleDate[max] , the templateTitle[0] industry in the templateTitle[2] employed templateValue[6][max] people . Of that number , more than 32,000 employees worked templateValue[0][0] .
This statistic shows the templateTitleSubject[0] of templateTitle[1] templateTitle[4] templateTitle[5] from templateValue[0][last] to templateValue[0][0] , templateTitle[6] templateTitle[7] . For templateValue[0][0] , the social templateTitleSubject[0] templateTitle[1] templateTitle[2] of templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] is estimated to reach 3.99 templateScale U.S. dollars . The templateTitle[2] templateTitle[3] templateTitleSubject[0] templateTitle[1] - additional information After decades of being part of the essential arsenal of fictional heroes from Batman to James Bond , templateTitleSubject[0] ( also known as templateLabel[3][0] technology or templateLabel[3][0] computers ) are finally entering the mainstream .
The statistic shows templateTitleSubject[0] templateTitle[1] templateYLabel[0] templateYLabel[1] from the fiscal templateXLabel[0] of templateXValue[min] to the fiscal templateXLabel[0] of templateXValue[max] . templateTitleSubject[0] templateTitle[1] templateYLabel[0] templateYLabel[1] amounted to around templateYValue[max] templateScale templateYLabel[4] in the fiscal templateXLabel[0] of templateXValue[4] . The templateTitleSubject[0] Motor Corporation is a Japan-based multinational automotive company and one of the largest automobile manufacturers in the world and the incumbent leader in terms of global car sales by manufacturer .
This statistic shows the templateYLabel[0] of templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[1] templateYLabel[2] templateTitle[6] templateXValue[min] to templateTitleDate[max] . In templateTitleDate[max] , there were templateYValue[0] templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[1] members , as compared to templateYValue[14] in templateXValue[14] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitleSubject[0] templateTitle[3] titles templateTitle[5] as of 2019 . With templateYValue[max] templateScale templateYLabel[2] sold templateTitle[5] , templateXValue[0] 7 was the templateTitle[0] templateTitle[1] templateTitleSubject[0] templateTitle[3] game as of 2019 .
This statistic shows the templateTitle[1] templateTitle[2] of templateTitleSubject[0] templateTitle[4] templateTitle[5] templateTitle[6] templateTitle[7] from fiscal year templateValue[0][last] to templateTitleDate[max] , broken down templateTitle[10] templateTitle[11] . In the second templateLabel[0][0] of FY2019 , templateTitleSubject[0] sold templateValue[2][24] templateScale templateLabel[5][0] .
This statistic shows templateTitle[0] conceptions in templateTitleSubject[0] and templateTitleSubject[1] leading to templateTitle[5] from templateXValue[min] to templateXValue[max] . The figures show a general templateNegativeTrend in the templateYLabel[0] of templateTitle[0] templateTitle[5] , amounting to under templateYValue[min] thousand in templateXValue[idxmin(Y)] .
A survey conducted in templateTitleDate[0] reveals that the largest groups of Italian templateYLabel[1] cheated on templateTitle[5] templateXValue[5] either templateTitle[1] a templateXValue[0] or templateTitle[1] a templateXValue[1] . In templateXValue[2] , templateYValue[max] templateScale of interviewees in Italy stated that they betrayed templateTitle[5] templateXValue[5] templateTitle[1] a templateXValue[0] , while templateYValue[1] templateScale did so templateTitle[1] a templateXValue[1] . However , it was common to templateTitle[4] templateTitle[1] strangers as well .
The statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at about templateYValue[idxmax(X)] templateScale . Trade in templateTitleSubject[0] is a templatePositiveTrend market and recognized as one of the world 's newest industrialized countries .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] ( templateYLabel[0] ) templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[7] , with projections up until templateXValue[max] . templateYLabel[0] is the total value of all goods and services produced in a country in a templateXLabel[0] . It is considered to be a very important indicator of the economic strength of a country and a positive change is an indicator of economic growth .
This statistic shows the templateYLabel[0] of the chemical element templateTitleSubject[0] ( also known as wolfram ) templateTitle[2] in templateTitleDate[0] , templateTitle[3] templateXLabel[0] . In that year , templateXValue[0] had the templateXValue[last] 's largest templateTitleSubject[0] templateYLabel[0] , at some templateYValue[max] templateScale templateYLabel[1] templateYLabel[2] .
This graph shows the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateYLabel[0] in the templateTitle[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the nationwide templateYLabel[0] was templateYValue[idxmax(X)] cases templateYLabel[1] 100,000 templateYLabel[3] .
This statistic presents the ranking of leading templateTitleSubject[0] templateTitle[2] globally in templateTitleDate[0] , templateTitle[5] templateTitle[6] templateTitle[7] templateTitle[8] templateValue[0][0] . The templateValue[0][9] templateTitle[6] figures have also been provided for reference . The revenues templateTitle[7] templateTitle[8] templateValue[0][0] of templateValue[0][1] , a global provider of banking and payment templateValue[0][11] , amounted to approximately templateValue[1][1] templateScale U.S. dollars in templateTitleDate[0] .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateTitle[2] templateTitle[3] the world 's templateTitle[4] templateTitle[5] templateTitle[3] 1900 to templateTitleDate[0] . The templateXLabel[0] in templateXValue[2] in 1973 claimed templateYValue[2] lives . Natural disasters Natural disasters , such as earthquakes , volcanic eruption , tsunamis , floods , tornados or templateTitle[5] affect people templateTitle[6] .
Since the first half of templateXValue[17] , household templateTitle[0] templateTitle[1] in templateTitleSubject[0] have seen an overall templatePositiveTrend , templatePositiveTrend to templateYValue[1] templateYLabel[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] ( kWh ) in the second half of templateXValue[1] . This was the highest price during the reporting period . templateTitle[1] templateNegativeTrend noticeably between templateXValue[9] and the first half of templateXValue[7] , with templateTitle[3] paying less than templateYValue[min] templateYLabel[0] templateYLabel[1] templateYLabel[2] kWh .
This statistic depicts templateTitle[0] templateTitle[1] templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , templateTitleSubject[0] 's templateTitle[0] templateTitle[1] templateTitle[2] amounted to about 182.76 templateScale templateYLabel[1] templateYLabel[2] .
This statistic displays the templateValue[0][0] rate of individuals suffering templateTitle[1] an templateTitle[2] templateTitle[3] in the templateTitleSubject[0] in templateTitleDate[0] . Approximately templateValue[1][0] templateScale of sufferers of templateLabel[1][0] templateLabel[1][1] and templateValue[2][0] templateScale of sufferers of templateLabel[2][0] templateLabel[1][1] make a templateValue[0][0] .
The statistic shows the templateTitle[3] of templateLabel[1][0] and templateTitle[5] due to templateTitle[0] in the templateTitle[2] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , there were a total of templateValue[1][0] templateTitle[4] and templateValue[2][0] templateTitle[5] reported due to lighting in the templateTitle[2] .
The statistic shows templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) in templateTitleSubject[0] from templateXValue[min] to templateXValue[7] , with projections up until templateXValue[max] . templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) denotes the aggregate value of all services and goods produced within a country in any given templateXLabel[0] . templateTitle[3] is an important indicator of a country 's economic power .
The statistic shows the templateTitle[0] of templateTitle[1] people in the templateTitleSubject[0] would be willing to spend on their templateTitle[4] templateTitle[5] in templateTitleDate[0] according to a Statista survey . templateYValue[max] templateScale of templateYLabel[1] said that they would be willing to spend templateXValue[0] to 25 templateTitle[7] dollars on templateTitle[4] templateTitle[5] .
In a world where people are constantly on the move and seeking templateXValue[18] forms of entertainment to make their journeys templateXValue[1] faster , mobile templateTitle[2] is bigger than ever . In 2019 , templateXValue[0] Games was the templateTitle[0] templateTitle[1] mobile templateTitle[2] templateTitle[3] app in the templateTitle[5] templateXValue[8] over templateYValue[max] templateScale monthly users . The highest individual templateXValue[7] on the list was templateXValue[1] , which averaged templateYValue[1] templateScale users in the same templateXLabel[0] .
This statistic shows the results of a templateTitleDate[0] survey regarding patriotism in the templateTitle[4] . The templateYLabel[1] were asked how proud they are to be an templateTitleSubject[0] . In templateTitleDate[0] , some templateYValue[max] templateScale of survey templateYLabel[1] stated they were templateXValue[0] proud to be an templateTitleSubject[0] .
This statistic presents the templateTitle[1] templateTitle[2] templateTitle[3] sales of templateTitle[0] Inc. as of the fourth templateXLabel[0] of templateTitleDate[0] . During that period , the C2C e-commerce company generated templateYLabel[0] of templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] , up from templateYValue[4] templateScale templateYLabel[2] templateYLabel[3] in the corresponding templateXLabel[0] of the previous year . This represents a 32.8 templateScale year-on-year growth .
The statistic shows the templateYLabel[1] in real templateYLabel[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , templateTitleSubject[0] 's real templateTitle[0] templateTitle[1] templateTitle[2] templatePositiveTrend by around templateYValue[6] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic shows the templateYLabel[0] of templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . templateTitle[1] templateTitle[2] templateYLabel[0] in templateTitleSubject[0] amounted to approximately templateYValue[idxmax(X)] templateYLabel[1] templateTitle[3] templateTitle[4] in templateXValue[max] , down from templateYValue[1] templateYLabel[1] the previous templateXLabel[0] . templateTitle[1] templateTitle[2] in templateTitleSubject[0] - additional information templateTitle[1] templateTitle[2] , most often classed as a dairy product , comes in a variety of different flavors and is usually made from templateTitle[2] or milk , with added natural or artificial flavorings , sweeteners and colorings .
This statistic shows the degree of templateTitle[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . templateTitle[0] means the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateYLabel[3] templateYLabel[2] of a country . In templateXValue[max] , templateYValue[idxmax(X)] templateScale of templateTitleSubject[0] 's templateYLabel[3] templateYLabel[2] lived in templateYLabel[1] areas and cities .
This statistic shows the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] templateYLabel[1] templateTitle[5] from templateXValue[min] to templateXValue[max] . templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] was forecasted to templatePositiveTrend by templateYValue[2] templateScale in templateXValue[idxmin(Y)] and a further templateYValue[2] templateScale in templateXValue[2] templateTitle[1] templateTitle[2] - additional information templateTitle[1] in the 21st century is no longer limited to a small geographical area , as internet communication and almost universal access to templateTitle[2] and accommodation allow for easy national and transnational movement between companies , their partners , customers , suppliers or distributors . Although multinational corporations and templateTitle[1] templateTitle[2] have a long history , they have reached unprecedented levels in the modern era and seem to be templatePositiveTrend every templateXLabel[0] .
This statistic shows the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] had about templateYValue[6] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This graph depicts the templateYLabel[0] templateTitle[1] templateTitle[2] templateTitle[3] templateYLabel[1] of the templateTitleSubject[0] templateTitle[6] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] at templateTitle[3] games of the templateTitleSubject[0] templateTitle[6] was templateYValue[idxmax(X)] .
The timeline presents data on the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] sales templateYLabel[0] worldwide from templateXValue[min] to templateXValue[max] . The source estimates that the templateTitleSubject[0] VR templateTitle[4] market size in templateXValue[max] will be worth templateYValue[4] templateScale templateYLabel[2] templateYLabel[3] . This number is expected to grow to templateYValue[idxmax(X)] templateScale by the end of templateXValue[idxmax(Y)] .
The statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at about templateYValue[idxmax(X)] templateScale . Trade in templateTitleSubject[0] is a templatePositiveTrend market and recognized as one of the world 's newest industrialized countries .
This statistic shows the leading templateYLabel[0] of templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] in templateTitleDate[0] , templateTitle[3] templateXLabel[0] . In templateTitleDate[0] , the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in templateXValue[0] was templateYValue[max] thousand .
This statistic gives information on the templateYLabel[3] templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In the most recently measured period , templateYValue[idxmax(X)] templateScale of the population accessed the templateYLabel[3] , up from templateYValue[idxmin(X)] templateScale in templateXValue[idxmin(Y)] . In templateXValue[2] , templateTitleSubject[0] 's population templatePositiveTrend by approximately 2.48 templateScale compared to the previous templateXLabel[0] .
This statistic shows the templateYLabel[0] templateTitle[1] templateTitle[2] of the templateTitle[3] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] , on a historical-cost basis . In templateXValue[max] , the templateYLabel[3] templateYLabel[1] made in templateTitleSubject[0] were valued at approximately templateYValue[idxmax(X)] templateScale templateYLabel[3] templateYLabel[4] . templateYLabel[0] templateTitle[1] templateTitle[2] of the templateTitle[3] - additional information Foreign templateYLabel[0] templateTitle[1] ( FDI ) , simply put , is an templateTitle[1] of one company into another company located in a different country .
This statistic shows the results of a survey conducted irregularly between templateValue[0][0] and templateValue[0][13] among adult Americans , asking them if they templateLabel[1][0] of templateTitle[1] between people of different skin color . While in templateValue[0][0] , only templateValue[0][7] templateScale stated they approved of intermarriages , templateValue[1][last] templateScale said the same in templateValue[0][13] . The templatePositiveTrend acceptance of templateTitle[0] marriages The remarkable change in approval of templateTitle[0] templateTitle[1] amongst Americans displays an ongoing trend of public acceptance of lifestyles that were once disapproved of .
This statistic shows the templateYLabel[0] of templateYLabel[1] in templateTitle[1] templateTitle[2] in the templateTitle[3] templateTitle[4] templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of templateYLabel[1] ( aged six years and older ) in templateTitle[1] templateTitle[2] amounted to approximately templateYValue[idxmax(X)] templateScale .
This statistic shows the templateTitle[0] templateTitle[1] the largest templateYLabel[0] of templateTitle[3] templateTitle[4] templateYLabel[2] templateTitle[6] in the templateTitle[7] in templateTitleDate[0] . According to the source , Connecticut was the templateXLabel[0] templateTitle[1] the templateTitle[2] templateTitle[3] templateTitle[4] templateYLabel[2] templateTitle[6] in templateTitleDate[0] templateTitle[1] templateYValue[max] templateYLabel[1] to every templateYLabel[3] thousand templateYLabel[5] .
This statistic shows the templateYLabel[0] of templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . According to the report , around templateYValue[max] thousand babies were born in templateTitleSubject[0] in templateXValue[idxmax(Y)] , an templatePositiveTrend from the previous templateXLabel[0] were templateYValue[1] thousand babies were born .
The statistics depicts the templateYLabel[0] of registered templateTitle[0] templateTitle[1] templateYLabel[1] in templateTitleSubject[0] from templateXValue[last] to templateXValue[0] . In the templateXValue[0] season , there were a total of templateYValue[max] registered templateTitle[0] templateTitle[1] templateYLabel[1] in templateTitleSubject[0] according to the International templateTitle[0] templateTitle[1] Federation .
This statistic shows the templateTitle[3] templateTitle[4] of templateTitleSubject[0] and templateTitle[1] to templateTitle[5] templateTitle[6] from templateTitleDate[min] to templateTitleDate[max] , templateTitle[9] templateTitle[10] . templateTitleSubject[0] and templateTitle[1] directly contributed approximately templateValue[2][2] templateScale jobs to the templateValue[0][1] templateValue[0][0] Asian economy in templateTitleDate[max] .
This statistic depicts the templateTitle[0] of VAT and/or PAYE based templateTitle[6] in the templateTitle[1] templateTitle[2] , templateTitle[4] templateTitle[5] and other reservation service and related activities sector in the United Kingdom from templateTitleDate[min] to templateTitleDate[max] , templateTitle[8] templateLabel[0][0] size band . As of 2019 , there were templateValue[7][min] templateTitle[6] with a templateLabel[0][0] of more than 5 templateValue[0][5] templateLabel[0][1] in this sector .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] ( RevPAR ) of templateTitleSubject[0] hotels templateLabel[7][1] from templateValue[0][0] to templateValue[0][last] , templateTitle[9] templateTitle[10] . The RevPAR of templateTitleSubject[0] templateTitle[6] in templateLabel[1][0] templateLabel[1][1] was templateValue[1][last] U.S. dollars in templateValue[0][last] .
This statistic displays the share of buyers who have templateTitle[1] templateTitle[0] in the templateLabel[1][3] two templateLabel[1][5] prior to the survey and , of those , what templateScale templateTitle[1] second-hand templateTitle[0] , based on a survey carried out in the templateTitleSubject[0] ( templateTitleSubject[1] ) in late 2015 . The survey organizes the participants in various groups templateTitle[7] templateTitle[9] and templateTitle[8] The templateTitle[9] group with the largest proportion of respondents who had templateTitle[1] a templateLabel[1][1] templateLabel[1][2] was 55 to 64 templateLabel[1][5] , and for templateLabel[2][1] templateTitle[0] this was the 35 to 44 templateTitle[9] group . The templateTitle[9] group with the smallest proportion of respondents , who had templateTitle[1] a templateLabel[1][1] templateLabel[1][2] was templateValue[2][last] - templateValue[2][1] of templateTitle[9] and the group with the smallest share of respondents , who had templateTitle[1] a templateLabel[2][1] templateLabel[1][2] in the templateLabel[1][3] two templateLabel[1][5] was at the templateTitle[9] of 65 and up .
This statistic presents a ranking of the templateTitle[0] templateTitle[1] mobile templateValue[0][1] templateTitle[3] in the templateTitleSubject[0] as of 2018 . During the survey period , templateValue[2][0] templateScale of respondents stated that they used their mobile to templateValue[0][3] or templateValue[0][3] one to templateValue[3][min] templateLabel[2][1] templateLabel[2][2] templateLabel[1][3] .
This statistic shows the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] had amounted to about templateYValue[6] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic shows the templateTitleSubject[0] templateTitle[1] of the templateTitle[2] templateValue[0][2] templateTitle[4] in templateTitleDate[min] and templateTitleDate[max] , templateTitle[7] templateTitle[8] . In templateTitleDate[max] , the templateTitleSubject[0] templateTitle[1] of the templateValue[0][0] , templateValue[0][0] and templateValue[0][0] templateTitle[8] of the templateTitle[2] templateValue[0][2] templateTitle[4] amounted to an estimated templateValue[2][max] templateScale U.S. dollars .
The templateXValue[0] was the leading exporter of templateTitle[1] worldwide in templateTitle[4] . In that time period , the U.S. templateTitle[1] industry had an export volume of templateYValue[max] templateScale metric tons . templateTitle[1] products templateTitle[1] is one of the most versatile and widely used materials .
This statistic shows the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] and the templateTitleSubject[1] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] and the templateTitleSubject[1] amounted to about templateYValue[6] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
The statistic shows templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) denotes the aggregate value of all services and goods produced within a country in any given templateXLabel[0] . templateTitle[3] is an important indicator of a country 's economic power .
This statistic shows templateTitle[0] templateTitleSubject[0] templateTitle[2] templateYLabel[1] of the templateTitle[4] templateTitle[5] templateYLabel[0] templateTitle[7] from templateXValue[min] to templateXValue[max] . In templateXValue[6] , templateTitle[0] templateTitleSubject[0] templateTitle[2] templateYLabel[1] of the global templateTitle[4] templateTitle[5] templateYLabel[0] is estimated to be templateYValue[6] templateScale .
This statistic presents the templateTitle[0] network size of teenage templateTitleSubject[0] users in the templateTitle[1] . During the 2015 survey , it was found that templateYValue[1] templateScale of templateYLabel[1] had templateXValue[1] to templateXValue[1] followers on the social network . The templateTitle[1] templateTitle[2] templateTitle[0] was 95 followers .
This statistic shows templateTitle[1] and templateTitle[2] templateTitle[3] templateTitle[4] templateYLabel[0] in the templateTitle[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYLabel[2] templateTitle[1] and templateTitle[3] templateTitle[4] templateYLabel[0] amounted to about templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] . Wal-Mart stores dominated templateYLabel[0] of the leading templateTitle[3] retailers in 2016 , generating approximately 362.82 templateScale templateYLabel[2] templateYLabel[3] .
This statistic shows total templateTitle[1] templateYLabel[0] in the templateTitle[0] from templateXValue[min] to templateXValue[max] . According to the report , total templateYLabel[2] templateTitle[1] templateYLabel[0] amounted to approximately 1.42 templateScale templateYLabel[2] templateYLabel[3] in templateXValue[1] .
This statistic provides information on the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , templateTitleSubject[0] had templateYValue[idxmin(X)] templateScale templateYLabel[1] templateYLabel[2] . This figure is projected to grow to templateYValue[idxmax(X)] templateScale templateYLabel[1] templateYLabel[2] in templateXValue[idxmax(Y)] .
This line graph shows the templateYLabel[0] of templateTitle[1] traffic templateYLabel[1] per templateXLabel[0] in templateTitleSubject[0] between templateXValue[min] and templateXValue[max] . In templateXValue[9] , templateYValue[9] individuals were killed in motor vehicle accidents . An overall templateNegativeTrend in the templateYLabel[0] of templateTitle[1] templateTitle[2] was observed within the time period shown .
This statistic shows the leading 15 templateXLabel[0] models according to the Auto Express Driver Power templateTitleDate[0] survey responses templateTitle[3] on templateXLabel[0] templateTitle[4] templateTitle[5] . The survey was carried templateYLabel[1] by the British automotive magazine online between 2014 and 2015 . templateXValue[0] dominated this category securing the top three spots with the templateXValue[0] , templateXValue[1] , and templateXValue[1] templateXValue[2] models as well as having three other models in the top 15 .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] in templateXValue[min] , templateXValue[2] , templateXValue[1] and templateXValue[max] . In templateXValue[max] , there were approximately templateYValue[idxmax(X)] thousand templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] .
This statistic presents the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitleSubject[0] ( templateTitleSubject[1] ) from the first templateXLabel[0] of templateTitleDate[min] to the third templateXLabel[0] of templateTitleDate[max] . Automated transaction templateYLabel[2] ( ATMs ) are banking outlets designed for maximum access to banking transactions and information , outside of bank working hours and without the assistance of a clerk . It can be seen that the total templateYLabel[0] of templateYLabel[1] templateYLabel[2] templatePositiveTrend between the first templateXLabel[0] of templateTitleDate[min] and the second templateXLabel[0] of 2016 , reaching a total of more than templateYValue[9] thousand as of the second templateXLabel[0] of 2016 .
The templateYLabel[0] templateTitle[1] of the templateTitle[2] market in templateTitleSubject[0] amounted to around templateYValue[0] templateScale templateYLabel[2] templateYLabel[3] in the templateXValue[max] financial templateXLabel[0] . This is an templatePositiveTrend of around 0.55 templateScale templateYLabel[2] templateYLabel[3] since templateXValue[min] . templateYLabel[2] templateTitle[2] laws Canada has complex templateTitle[2] laws which have developed since Prohibition in the 1920s .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at approximately templateYValue[idxmax(X)] templateScale .
This statistic presents a forecast for the templateTitle[1] of templateTitle[3] templateYLabel[1] templateYLabel[2] worldwide from templateXValue[min] to templateXValue[max] . In the most recently measured templateXLabel[0] , consumers downloaded templateYValue[max] templateScale templateTitle[3] apps to their connected devices , up from templateYValue[min] templateScale templateYLabel[1] templateYLabel[2] in templateXValue[idxmin(Y)] .
This statistic depicts templateTitle[2] templateTitle[3] templateTitle[1] the templateTitle[0] by templateTitleSubject[0] construction firms in templateTitleDate[0] . The survey revealed that templateYValue[max] templateScale of the templateYLabel[1] templateTitle[1] templateXValue[0] templateXLabel[0] templateTitle[2] the templateTitle[0] . Residential construction involves the building and selling of both individual and multi-family dwellings .
This statistic shows the templateTitle[0] templateTitle[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitle[1] of templateTitleSubject[0] was estimated at approximately templateYValue[idxmax(X)] templateYLabel[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
In templateTitleDate[0] , some templateYValue[0] templateScale of templateYLabel[1] stated they will probably templateTitle[4] templateTitle[5] on templateTitle[6] templateTitle[7] templateTitle[8] that year , while almost half of all templateYLabel[1] stated they probably wo n't . Is romance really dead ? templateTitle[6] templateTitle[7] templateTitle[8] is generally considered the most romantic templateTitle[8] of the year , which people use to give flowers and tokens of appreciation to loved ones . About half of the American population celebrate templateTitle[6] templateTitle[7] templateTitle[8] , but this fact does templateXValue[last] infer that the same templateYLabel[0] of the population is taken or in love ; in fact , a certain templateYLabel[0] of templateYLabel[1] rather bought templateTitle[6] templateTitle[7] presents for their pets last year rather than a significant other , and another significant templateYLabel[0] of templateYLabel[1] spent the templateTitle[8] alone , with colleagues , friends , or with family , rather than with a spouse or a partner .
This statistic shows the templateYLabel[0] of templateTitleSubject[0] restaurants in templateTitleSubject[1] from templateXValue[min] to templateXValue[max] . At the end of the templateXValue[max] fiscal templateXLabel[0] , there were templateYValue[idxmax(X)] templateTitleSubject[0] restaurants in templateTitleSubject[1] .
This statistic depicts the templateTitle[0] estimated annual templateTitle[1] to templateTitle[2] different universities and college institutions in the templateTitle[3] for academic years templateValue[0][0] to templateValue[0][last] . The templateTitle[0] templateTitle[1] of attendance ( which includes tuition , fees , room and board ) in templateLabel[1][0] templateLabel[2][1] in-state institutions was templateValue[2][last] templateTitleSubject[0] dollars in the academic templateLabel[0][0] templateValue[0][last] .
The timeline presents data on the templateTitle[4] templateTitle[5] generated by Twenty First templateTitle[1] templateTitleSubject[0] in the fiscal years templateXValue[min] to templateXValue[max] . In the fiscal templateXLabel[0] templateXValue[max] , the company generated templateYValue[idxmax(X)] templateScale US templateYLabel[3] , up templateTitle[6] templateYValue[1] a templateXLabel[0] earlier .21st templateTitle[1] templateTitleSubject[0] consists of News Corporations templateTitle[3] former TV and film divisions . It split templateTitle[6] the News Corp. in 2013 .
This graph shows the templateScale of templateYLabel[1] led templateTitle[6] a female householder with no spouse present with own children under 18 years living in the household in the templateTitleSubject[0] in templateTitleDate[0] , templateTitle[6] templateXLabel[0] . In templateTitleDate[0] , about templateYValue[20] templateScale of Californian templateYLabel[1] were templateTitle[1] templateTitle[2] templateYLabel[1] with at least one child . Additional information on templateTitle[1] templateTitle[2] templateYLabel[1] and poverty in the templateXValue[18] For most templateTitle[1] mothers a constant battle persists between finding the time and energy to raise their children and the demands of working to supply an income to house and feed their families .
This statistic shows templateTitleSubject[0] templateTitle[1] templateTitleSubject[0] templateTitle[3] templateYLabel[1] of the templateTitle[5] templateTitle[6] templateTitle[7] templateYLabel[0] templateTitle[9] from templateXValue[min] to templateXValue[max] . In templateXValue[2] , templateTitleSubject[0] templateTitle[1] templateTitleSubject[0] templateTitle[3] templateYLabel[1] of the global templateTitle[5] templateTitle[6] templateTitle[7] templateYLabel[0] is estimated to be templateYValue[2] templateScale .
The statistic shows the templateTitle[0] templateTitle[1] of templateYLabel[0] templateYLabel[1] in the templateTitle[3] in templateTitleDate[0] , templateTitle[5] templateXLabel[0] . The leading state-owned templateXLabel[5] was the templateTitle[0] templateXLabel[0] in the templateTitle[3] , with templateYValue[max] templateScale templateYLabel[3] in the templateTitle[3] in templateTitleDate[0] .
This statistic shows the global templateYLabel[0] of the templateTitle[1] templateTitle[2] templateTitle[3] in the templateTitle[5] in templateTitleDate[0] . In templateTitleDate[0] , the templateYLabel[0] of templateTitle[1] templateTitle[2] templateTitle[3] in the templateTitle[4] was templateYValue[max] templateScale .
This statistic shows the hypothetical templateTitle[2] templateTitle[3] templateXValue[0] a templateTitle[1] on templateTitleSubject[0] membership in templateTitleSubject[1] templateXValue[0] ( templateTitle[6] ) as of October 22 to 23 , 2015 . At that time , templateYValue[1] templateScale of templateYLabel[1] stated that they templateXValue[0] for templateXValue[0] to templateXValue[1] the templateXValue[0] .
This statistic shows the number of templateTitleSubject[0] templateTitle[1] templateTitle[3] and templateTitle[2] templateTitle[4] that were in operation as of year-end templateTitleDate[0] . At that moment , the company templateTitle[2] templateValue[1][last] templateValue[0][2] templateValue[0][1] . templateTitleSubject[0] , which is short for the full name Petróleo Brasileiro S.A. , is a Brazilian multinational energy corporation .
This statistic shows the templateYLabel[0] of refugees admitted to the templateTitleSubject[0] from the fiscal templateXLabel[0] of templateTitleDate[min] to the fiscal templateXLabel[0] of templateTitleDate[max] . During the fiscal templateXLabel[0] of templateTitleDate[max] , templateYValue[0] refugees were admitted to the templateTitle[2] .
This statistic shows the distribution of templateTitle[1] templateTitle[2] templateYLabel[1] templateTitle[5] in the templateTitleSubject[0] in templateTitleDate[0] , templateTitle[7] total templateYLabel[1] . In templateTitleDate[0] , templateYValue[max] templateScale of the templateTitleSubject[0] templateYLabel[1] templateYLabel[2] was templateXValue[0] .
This statistic depicts the templateTitle[0] ' templateTitle[1] industry templateTitle[2] and templateTitle[3] ( R & D ) templateYLabel[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] on templateTitle[1] R & D in the templateTitle[0] came to some templateYValue[0] templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
This statistic shows the development of templateTitleSubject[0] ' templateYLabel[1] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[1] of templateTitleSubject[0] was templateYValue[idxmax(X)] templateScale templateYLabel[3] templateYLabel[4] .
This survey shows the templateTitle[0] templateTitle[5] gave templateTitle[1] not reporting cases of templateTitle[3] on their premises to the templateXValue[1] in templateTitleSubject[0] and templateTitleSubject[1] in templateTitleDate[0] . Of templateYLabel[1] , templateYValue[max] templateScale claimed they did not templateXValue[5] the incident as there was no templateXValue[0] or damage or the crime was too trivial to templateXValue[5] to the templateXValue[1] .
This graph depicts the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] of the National Basketball Association from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitleSubject[0] franchise had an estimated templateYLabel[1] of templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] .
The statistic shows global templateYLabel[0] from templateTitleSubject[0] and templateTitleSubject[0] templateTitle[5] from templateXValue[min] to templateXValue[max] . In templateXValue[2] , earphones and headphones were estimated to have a market value of templateYValue[idxmax(X)] templateScale templateYLabel[2] templateYLabel[3] templateTitle[3] .
This statistic shows the templateScale of templateTitle[3] computer templateTitleSubject[0] and usage among the populations of selected countries as of 2012 . In the U.S. templateTitle[3] templateTitleSubject[0] and usage was found to be at templateYValue[min] templateScale of the templateYLabel[1] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitleSubject[0] in templateTitleDate[0] . In templateTitleDate[0] , the most important templateTitle[1] partner templateTitle[3] templateTitleSubject[0] was templateXValue[0] , accounting templateTitle[3] templateYValue[max] templateScale of all templateYLabel[2] .
This statistic shows the templateTitleSubject[0] templateTitle[1] templateTitle[2] the templateTitle[3] templateYLabel[0] templateTitle[6] from templateTitle[4] as of templateTitleDate[0] . As of this time , templateXValue[0] had the templateTitle[3] templateTitle[4] templateYLabel[0] templateYLabel[1] templateTitle[2] templateYValue[max] deaths templateTitle[2] templateTitle[4] as the underlying cause of templateYLabel[0] templateYLabel[2] templateScale templateYLabel[4] .
The statistic depicts the net sales of the templateTitleSubject[0] worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] 's net sales was at about templateYValue[0] templateScale templateYLabel[2] dollars.The templateTitleSubject[0] is a U.S.-based company that manufactures and sells boats and marine engines . The company previously made and sold sporting and fitness equipment and bowling & billiards equipment .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateTitle[1] templateTitle[5] templateTitle[2] templateTitle[3] in templateTitleSubject[0] and templateTitleSubject[1] templateTitle[1] templateXValue[min] to templateXValue[max] . Since templateXValue[21] there has been a templateNegativeTrend in the templateYLabel[0] of templateYLabel[1] caused templateTitle[4] templateTitle[5] . In templateXValue[1] , templateYValue[1] templateYLabel[1] were recorded .
This statistic shows the degree of templateTitle[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . templateTitle[0] means the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateYLabel[3] templateYLabel[2] of a country . In templateXValue[max] , templateYValue[idxmax(X)] templateScale of templateTitleSubject[0] 's templateYLabel[3] templateYLabel[2] lived in templateYLabel[1] areas and cities .
This statistic shows the templateTitle[1] templateYLabel[0] worldwide from templateXValue[min] to templateXValue[max] . During the marketing templateXLabel[0] templateXValue[3] , templateTitleSubject[0] templateTitle[1] templateYLabel[0] amounted to about templateYValue[last] templateScale templateYLabel[2] templateYLabel[3] .
This statistic shows the templateScale of templateTitleSubject[0] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] a templateTitle[6] as of 2018 , sorted templateTitle[8] templateTitle[9] templateTitle[10] . According to the survey , templateYValue[max] templateScale of templateTitleSubject[0] templateTitle[2] aged templateXValue[0] to templateXValue[0] had templateTitle[5] a photograph of themselves and uploaded it to a social media website .
The statistic shows the templateYLabel[1] in real templateYLabel[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , templateTitleSubject[0] 's real templateTitle[0] templateTitle[1] templateTitle[2] templatePositiveTrend by around templateYValue[6] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic shows the estimated templateYLabel[0] of the templateTitle[1] templateTitle[2] templateTitle[3] in templateTitle[4] templateTitle[5] in templateTitleDate[0] . In that year , The templateXValue[0] ' templateTitle[1] templateTitle[2] templateTitle[3] was projected to have generated templateYValue[max] templateScale euros.Luxury templateTitle[2] industryGenerally speaking , garments , accessories , jewellery , watches , fragrances and cosmetics are considered to be constituent parts of the templateTitle[1] market . The U.S. templateTitle[1] templateTitle[2] market has continued to soar to post-crisis heights in 2014 , with its fifth year of growth .
In templateTitleDate[0] , some templateYValue[0] templateScale of templateYLabel[1] stated they will probably templateTitle[4] templateTitle[5] on templateTitle[6] templateTitle[7] templateTitle[8] that year , while almost half of all templateYLabel[1] stated they probably wo n't . Is romance really dead ? templateTitle[6] templateTitle[7] templateTitle[8] is generally considered the most romantic templateTitle[8] of the year , which people use to give flowers and tokens of appreciation to loved ones . About half of the American population celebrate templateTitle[6] templateTitle[7] templateTitle[8] , but this fact does templateXValue[last] infer that the same templateYLabel[0] of the population is taken or in love ; in fact , a certain templateYLabel[0] of templateYLabel[1] rather bought templateTitle[6] templateTitle[7] presents for their pets last year rather than a significant other , and another significant templateYLabel[0] of templateYLabel[1] spent the templateTitle[8] alone , with colleagues , friends , or with family , rather than with a spouse or a partner .
The statistic shows the templateTitle[0] of the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in the templateTitleSubject[0] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , templateValue[1][0] templateScale of the templateTitle[1] were employed in templateLabel[1][0] , templateValue[2][0] templateScale in templateLabel[2][0] and templateValue[3][0] templateScale in templateLabel[3][0] . The same templateLabel[0][0] , the total UK population amounted to about 62.3 templateScale people .
This graph presents the templateTitle[1] templateTitle[2] templateYLabel[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] scored templateYValue[idxmax(X)] points , which shows a templateTitle[1] templateTitle[2] of approximately 28 templateScale ( women are 28 templateScale less likely than men to have equal opportunities ) . In templateXValue[idxmax(Y)] , the templateTitle[1] templateTitle[2] in the area of political empowerment in templateTitleSubject[0] amounted to 69 templateScale .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] from the fiscal templateXLabel[0] of templateXValue[min] to the fiscal templateXLabel[0] of templateXValue[max] . In the fiscal templateXLabel[0] of templateXValue[max] , templateTitleSubject[0] had a balance sheet templateYLabel[0] of around 208.9 templateScale templateYLabel[3] .
While the fear of being kidnapped may persist for one 's entire life , in templateTitleDate[0] the templateTitle[0] of templateTitle[1] templateTitle[2] templateValue[0][0] the templateTitle[6] of templateValue[0][0] was much higher than those templateValue[0][0] and templateValue[0][1] , with templateValue[2][0] females templateValue[0][0] reported templateTitle[1] , and templateValue[2][last] females templateValue[0][1] the templateTitle[6] of templateValue[0][0] reported templateTitle[1] . Why people go templateTitle[1] There are many reasons why people go templateTitle[1] ; some are kidnapped , some purposefully go templateTitle[1] - in order to escape abuse , for example - and some , usually children , are runaways . What persists in the imagination when thinking of templateTitle[1] templateTitle[2] , however , are kidnapping victims , usually due to extensive media coverage of child kidnappings templateTitle[5] the media .
The templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was templateYValue[13] templateYLabel[2] old in templateXValue[13] , meaning half the templateTitle[2] was older than this at the time , and half older . This figure has templatePositiveTrend since its low point in templateXValue[16] , which was likely due to the templateTitleSubject[0] War . The templateYLabel[0] templateYLabel[1] is expected to templatePositiveTrend to templateYValue[max] templateYLabel[2] by templateXValue[idxmax(Y)] .
This statistic shows the templateTitle[0] templateTitle[1] templateYLabel[1] of templateTitleSubject[0] from templateXValue[last] to templateXValue[0] . During the eighteenth templateTitle[0] templateTitle[1] in templateXValue[0] , templateYLabel[0] templateYLabel[1] stood at templateYValue[0] templateScale . Republic of templateTitleSubject[0] , also often referred to as templateTitleSubject[0] , adopted the single-term system and holds its templateTitle[0] templateTitle[1] every five years .
The statistic shows the templateXLabel[0] templateTitle[1] programs with the most templateYLabel[1] in the templateTitleSubject[0] templateTitle[1] templateYLabel[0] ( Madness , Big Dance ) . The templateTitle[1] team of templateXValue[3] has participated templateYValue[2] times in the templateYLabel[0] up to templateTitleDate[max] .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateYLabel[3] in the templateTitle[3] from templateTitleDate[min] to templateTitleDate[max] . In templateTitleDate[max] , around 8.32 templateScale templateYLabel[2] were templateYLabel[3] in the templateTitle[3] .
This statistic shows templateTitle[3] templateTitle[4] templateTitle[5] ' responses to a survey question asked from templateXValue[min] to templateXValue[max] , about increases in templateTitle[4] templateYLabel[3] . In templateXValue[max] , templateYValue[idxmax(X)] templateScale of templateTitle[3] templateTitle[4] templateTitle[5] surveyed said templateYLabel[3] had templatePositiveTrend in the last templateXLabel[0] .
This statistic shows the templateScale of templateYLabel[1] who use the templateTitle[0] in the templateTitle[5] from templateXValue[min] and templateXValue[max] . In the most recent measured templateXLabel[0] , templateYValue[idxmax(X)] templateScale of templateTitleSubject[0] templateYLabel[1] were reported to use the templateTitle[0] at least occasionally , up from templateYValue[8] templateScale in templateXValue[8] .
The statistic shows templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) in templateTitleSubject[0] from templateXValue[min] to templateXValue[7] , with projections up until templateXValue[max] . templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) denotes the aggregate value of all services and goods produced within a country in any given templateXLabel[0] . templateTitle[3] is an important indicator of a country 's economic power .
This statistic shows the countries with the largest templateYLabel[0] of templateTitle[3] templateTitle[4] templateYLabel[1] in templateTitleSubject[0] and the Caribbean as of templateTitleDate[0] . templateXValue[0] led the ranking , with templateYValue[max] soldiers , followed templateTitle[7] templateXValue[1] , with templateYValue[1] .
This statistic shows templateTitleSubject[0] templateTitle[1] templateTitle[2] templateYLabel[0] between templateXValue[min] and templateXValue[9] , with projections until templateXValue[max] . In templateXValue[max] , the templateTitle[0] is expected to produce around templateYValue[max] templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] of templateTitle[1] templateTitle[2] . According to the source , templateTitle[1] templateTitle[2] refers to natural templateTitle[2] that is trapped within templateTitle[1] formations .
The statistic depicts the templateTitle[1] templateTitle[2] templateYLabel[0] in the templateTitle[0] in templateTitleDate[0] , templateTitle[5] templateXLabel[0] . In that year , some templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] of the templateTitleSubject[0] .
This statistic shows the templateTitle[0] templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[2] , there were a templateTitle[0] of templateYValue[idxmax(X)] directory listings for templateYLabel[1] templateYLabel[2] throughout the templateTitleSubject[0] .
This graph depicts the templateYLabel[0] templateYLabel[1] templateYLabel[2] for templateTitleSubject[0] games of the National Basketball Association from templateXValue[last] to templateXValue[0] . In the templateXValue[last] season , the templateYLabel[0] templateYLabel[1] templateYLabel[2] was templateYValue[max] templateYLabel[3] templateYLabel[4] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] of the templateTitleSubject[0] from templateValue[0][last] to templateValue[0][0] , templateTitle[7] templateTitle[8] templateTitle[9] . In templateValue[0][3] , the templateTitleSubject[0] 's templateLabel[1][0] templateLabel[1][1] templateTitle[9] made up templateValue[1][3] templateScale of their templateTitle[0] revenue.UnileverUnilever operates in nearly 190 countries around the world and has been a traditional paragon of excellence and quality in the Fast Moving Consumer Goods sector . The company derives its competitive advantage from its templateTitle[0] footprint and its track record of enhancing value for the consumers around the world .
This statistic presents the templateTitle[1] templateTitle[2] templateTitle[3] in templateTitleSubject[0] as of the third and fourth quarter templateTitleDate[0] . During the survey period , it was found that templateXValue[1] had a templateYValue[1] templateTitle[3] rate . Overall , 45 templateScale of the templateYLabel[1] had an active account with any templateTitle[1] media website .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in templateTitle[3] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[idxmax(X)] templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] . Gambling in templateTitleSubject[0] - additional information The templateYLabel[0] of templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] templatePositiveTrend by more than 2,000 between 2007 and templateXValue[1] .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] to the templateTitle[3] templateTitle[4] templateTitle[5] ( templateYLabel[3] ) in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] amounted to about templateYValue[min] templateScale of the country 's templateTitle[3] templateTitle[4] templateTitle[5] .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at approximately templateYValue[idxmax(X)] templateScale .
This statistic shows the mobile templateYLabel[0] of templateYLabel[1] in the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] from templateTitleDate[min] to templateTitleDate[max] . In the templateTitle[0] , there were approximately templateYValue[max] templateYValue[idxmin(X)] in this templateTitle[3] in templateXValue[idxmax(Y)] . templateTitle[1] electrical templateTitle[2] templateTitle[3] Notwithstanding the fact that the effects of ObamaCare on the templateTitle[1] templateTitle[2] templateTitle[3] in the templateTitle[0] are yet to be determined , the US remains an attractive market with high potential for growth in the templateTitle[1] electrical templateTitle[2] templateTitle[3] .
This statistic shows templateTitleSubject[0] 's templateTitle[3] in templateTitleDate[min] and templateTitleDate[max] , distributed templateTitle[6] templateTitle[7] . templateTitleSubject[0] Inc. is a health company from the country , active in the manufacturing of medical equipment and templateValue[0][2] ( until 2014 ) . templateTitleSubject[0] is headquartered in Deerfield , Illinois .
The statistic shows the templateYLabel[0] of the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in the templateTitle[4] in templateTitleDate[0] . In that year , templateXValue[0] was the templateTitle[1] templateTitle[2] templateXLabel[0] in the templateTitle[7] with templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] .
This statistic shows templateTitle[0] templateTitle[1] templateTitle[2] in the templateTitle[3] templateTitle[4] templateTitleDate[min] to templateTitleDate[max] . In templateTitleDate[max] , templateYLabel[1] templateTitle[0] templateTitle[1] templateTitle[2] amounted to about templateYValue[0] templateScale templateYLabel[1] templateYLabel[2] .
The timeline shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[5] templateTitle[6] in the templateTitle[0] from templateXValue[min] to templateXValue[max] . According to the report , the templateTitleSubject[0] templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[5] templateTitle[6] amounted to about templateYValue[max] templateYLabel[3] in templateXValue[idxmax(Y)] .
The statistic shows the templateTitle[2] of templateTitleSubject[0] developers templateTitle[3] from templateValue[0][last] to templateValue[0][0] , by region . For templateValue[0][0] , templateTitleSubject[0] templateTitle[3] are projected to total templateValue[3][0] templateScale units in templateTitleSubject[1] .
This statistic shows the templateYLabel[0] of templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[1] templateYLabel[2] templateTitle[6] templateXValue[min] to templateTitleDate[max] . In templateTitleDate[max] , there were templateYValue[0] templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[1] members , as compared to templateYValue[14] in templateXValue[14] .
In templateXValue[6] , the estimated average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to about templateYValue[6] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] , a slight drop from templateXValue[7] , but an ever sharper one templateYLabel[2] to templateYValue[6] years earlier . Over the next few years , forecasts estimate it to level off at around templateYValue[0] templateScale . templateTitleSubject[0] ‘ s more or less fragile economy templateTitleSubject[0] is one of the most populous countries in the worldwith a large Muslim population and a rather low urbanization templateYLabel[1] , which means that the majority of Pakistanis live in rural areas .
The statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] to the templateTitle[3] templateTitle[4] templateTitle[5] ( templateYLabel[3] ) in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitleSubject[0] was about templateYValue[idxmax(X)] templateScale .
This statistic shows the templateXLabel[0] templateTitle[3] of Canadians for templateTitleDate[0] , distinguished templateTitle[4] templateTitle[6] of templateXLabel[0] . In templateTitleDate[0] , about templateYValue[max] Canadians had an templateXLabel[0] of templateXValue[0] templateXLabel[1] templateXLabel[2] or more .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] ( RevPAR ) of templateTitleSubject[0] hotels templateLabel[7][1] from templateValue[0][0] to templateValue[0][last] , templateTitle[9] templateTitle[10] . The RevPAR of templateTitleSubject[0] templateTitle[6] in templateLabel[1][0] templateLabel[1][1] was templateValue[1][last] U.S. dollars in templateValue[0][last] .
The statistic shows the templateYLabel[0] of templateTitle[4] templateTitle[1] for electricity generation in the templateTitle[0] between templateXValue[min] and templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] templateTitle[1] templateYLabel[0] derived templateTitle[3] templateTitle[4] came to approximately templateYValue[idxmax(X)] templateScale templateYLabel[2] templateYLabel[3] of this fossil fuel . Coal-fueled electricity generation in the templateTitle[0] The templateYLabel[0] of templateTitle[4] has risen steadily templateTitle[3] the 1950s to the present .
In the period templateTitle[5] , templateYValue[max] templateTitle[0] templateYLabel[1] were carried out in templateXValue[0] , followed by templateYValue[1] conducted in templateXValue[1] . templateXValue[0] has by far the largest population of the countries in the templateTitleSubject[0] , so it is unsurprising it has the highest templateYLabel[0] of templateYLabel[1] performed in a year . State of templateTitle[0] templateYLabel[1] in the templateTitleSubject[1] The templateYLabel[0] of templateTitle[0] templateYLabel[1] in the templateTitleSubject[0] in templateTitle[5] was an five templateScale templatePositiveTrend from the templateYLabel[0] that took place in the preceding year .
This statistic shows the templateTitle[7] distribution of templateTitle[1] at templateTitleSubject[0] in the templateTitleSubject[1] as of templateTitleDate[0] . According to their annual report , templateYValue[max] templateScale of templateTitleSubject[0] templateTitle[1] are in the templateTitle[7] templateTitle[8] 45 - 54 . templateTitleSubject[0] is a British retailer selling clothing , furniture and other household items in a department store format .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateTitle[5] templateTitle[6] templateTitle[7] in the templateTitle[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , about templateYValue[idxmax(X)] templateYLabel[1] in the templateTitleSubject[0] were templateTitle[5] to be adopted .
This statistic shows the templateTitle[1] templateTitle[2] of templateTitle[3] and templateTitle[4] templateTitle[5] due to templateTitleSubject[0] dollars in templateTitleDate[0] , by templateLabel[0][0] . In templateTitleDate[0] , about templateValue[2][2] templateTitle[5] were templateTitle[6] due to templateTitle[1] templateTitle[2] in templateValue[0][11] . The total templateTitle[3] of templateTitle[1] templateTitle[2] in the templateTitle[0] amounted to 202,250 with 6.42 templateScale templateTitle[5] templateTitle[6] .
A survey of online users in the templateTitle[5] revealed that templateYValue[max] templateScale of templateYLabel[1] felt that templateXValue[0] and messaging apps were among the three types of apps that they templateTitle[1] the most templateTitleSubject[0] on . During the third quarter templateTitleDate[0] survey , templateYValue[6] templateScale of templateYLabel[1] stated the same about gaming apps .
This statistic shows the degree of templateTitle[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . templateTitle[0] means the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateYLabel[3] templateYLabel[2] of a country . In templateXValue[max] , templateYValue[idxmax(X)] templateScale of templateTitleSubject[0] 's templateYLabel[3] templateYLabel[2] lived in templateYLabel[1] areas and cities .
In templateTitleDate[0] , the German drug store chain Rossman opened their store templateYLabel[0] four thousand . For the past ten years the templateYLabel[0] of templateTitleSubject[0] templateYLabel[1] in templateTitleSubject[1] have seen a continuous growth . In templateXValue[max] , their numbers reached templateYValue[idxmax(X)] templateYLabel[1] .
According to a third quarter templateTitleDate[0] survey , templateYValue[max] templateScale of templateXValue[0] internet users in the templateTitleSubject[0] used templateTitle[0] . The video platform had a templateTitle[1] templateYLabel[0] of templateYValue[min] templateScale among templateXValue[last] templateTitle[4] internet users . Overall , 38 templateScale of templateTitle[4] templateTitle[0] users accessed the platform several times a day .
The statistic shows the templateYLabel[0] templateYLabel[1] of the sports company templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . templateTitleSubject[0] had a templateYLabel[0] templateYLabel[1] of templateYValue[idxmax(X)] templateScale templateYLabel[3] templateYLabel[4] in templateXValue[idxmin(Y)] .
This statistic shows the forecasted templateTitle[4] of templateTitle[3] in the templateTitleSubject[0] ( templateTitleSubject[1] ) from templateXValue[min] to templateXValue[max] , in templateYLabel[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] . The templateTitle[4] of templateTitle[3] is expected to templatePositiveTrend to templateYValue[0] templateYLabel[0] templateYLabel[1] in templateXValue[0] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] of templateTitle[3] templateValue[0][2] care templateValue[0][5] to templateLabel[1][0] and templateLabel[2][0] consumers in the templateTitleSubject[0] , according to a survey conducted in 2013 . templateValue[0][2] moisturising and hydrating templateTitle[2] were considered the templateTitle[0] templateTitle[1] templateTitle[2] templateValue[0][2] both genders , with templateValue[2][0] templateScale of templateTitle[3] stating this as templateTitle[1] . The templateValue[0][3] moisturiser market takes up the largest proportion of the templateTitle[3] templateValue[0][2] care market with a share of 41.6 templateScale in templateTitleDate[0] .
This statistic shows the templateYLabel[0] of templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . According to the report , around templateYValue[max] thousand babies were born in templateTitleSubject[0] in templateXValue[idxmax(Y)] , an templatePositiveTrend from the previous templateXLabel[0] were templateYValue[1] thousand babies were born .
This statistic shows the average cost of various templateTitle[0] templateValue[0][1] and templateTitle[2] treatments in salons in the templateTitleSubject[0] from templateTitleDate[min] to templateTitleDate[max] . Over the last three period , the average price of templateTitle[0] templateValue[0][1] cuts templateNegativeTrend from templateValue[1][last] British pounds in templateTitleDate[min] to templateValue[3][min] British pounds in templateLabel[3][0] . The most expensive templateTitle[3] that can be had for males in a templateTitle[2] salon is the templateValue[0][3] or templateValue[0][2] , which both cost templateValue[1][2] British pounds in templateTitleDate[max] .
As of 2019 , templateXValue[0] , templateTitleSubject[0] 's most populous province , was home to the most templateTitle[1] and templateTitle[1] supplies templateYLabel[1] across the country . At that time , there were templateYValue[max] such templateYLabel[1] in templateXValue[0] . templateXValue[1] and templateXValue[2] , the second and third most populous provinces , came next in the ranking with templateYValue[1] and templateYValue[2] templateYLabel[1] respectively .
templateLabel[2][0] is the largest source of templateTitle[2] for templateTitleSubject[0] . In 2018/2019 , the club earned approximately templateValue[2][0] templateScale euros from templateLabel[2][0] , more than triple than in 2010/2011 . The second biggest templateTitle[2] templateTitle[4] is the templateLabel[3][0] one .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in templateTitle[3] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[idxmax(X)] templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] . Gambling in templateTitleSubject[0] - additional information The templateYLabel[0] of templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] templatePositiveTrend by more than 2,000 between 2007 and templateXValue[1] .
This statistic shows the templateTitle[0] templateTitle[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , about templateYValue[idxmax(X)] templateScale of the total population in templateTitleSubject[0] was unemployed .
This statistic shows templateTitleSubject[0] 's templateYLabel[0] templateYLabel[1] templateYLabel[2] ( GPV ) from templateXValue[min] to templateXValue[max] . In the most recent fiscal period , the company 's templateYLabel[0] templateYLabel[1] templateYLabel[2] amounted to templateYValue[idxmax(X)] templateScale templateYLabel[4] templateYLabel[5] , up from templateYValue[1] templateScale in templateXValue[1] .
This statistic shows the templateYLabel[0] of templateTitle[1] templateYLabel[1] in the templateTitle[3] in templateTitleDate[0] , templateTitle[4] templateXLabel[0] . In that year , templateYValue[max] templateScale of templateTitle[1] templateYLabel[1] in the templateTitle[3] .
This statistic depicts the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[5] in the templateTitle[0] from templateXValue[min] to templateXValue[max] . According to the report , the templateTitleSubject[0] templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[5] amounted to approximately templateYValue[idxmax(X)] templateYLabel[3] in templateXValue[max] .
This statistic shows the 12 month templateScale change in the templateYLabel[0] consumer price index in the templateTitle[0] from templateXValue[18] to templateXValue[0] at year-end . In templateXLabel[0] templateXValue[0] , prices went up by templateYValue[0] templateScale compared to templateXLabel[0] templateXValue[1] . The annual templateYLabel[1] templateYLabel[2] based on current dollar templateXLabel[1] can be accessed here .
The statistic shows the templateYLabel[1] in real templateYLabel[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , templateTitleSubject[0] 's real templateTitle[0] templateTitle[1] templateTitle[2] templatePositiveTrend by around templateYValue[6] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic shows the templateYLabel[0] templateYLabel[1] in the templateTitleSubject[0] from templateTitleDate[min] to templateTitleDate[max] . In templateTitleDate[min] , this templateYLabel[1] stood at templateYValue[last] templateScale . templateYLabel[0] templateYLabel[1] stood at templateYValue[min] templateScale in templateTitleDate[max] .
This statistic shows the templateYLabel[0] templateTitleSubject[0] Product ( templateYLabel[1] ) of the templateTitle[0] in templateTitleDate[0] , by templateXLabel[0] templateXLabel[1] . Only the 100 leading templateTitle[1] templateTitle[2] are shown here . In templateTitleDate[0] , the templateXValue[0] City templateXLabel[0] templateXLabel[1] had a templateTitleSubject[0] templateXLabel[0] templateTitleSubject[0] of around templateYValue[max] templateScale templateYLabel[3] ( 2012 ) templateYLabel[5] templateYLabel[6] .
This statistic shows the templateYLabel[0] of templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . According to the report , around templateYValue[max] thousand babies were born in templateTitleSubject[0] in templateXValue[idxmax(Y)] , an templatePositiveTrend from the previous templateXLabel[0] were templateYValue[1] thousand babies were born .
This statistic shows the templateTitle[0] of templateTitle[1] in the templateTitleSubject[0] templateTitle[3] templateTitle[0] of templateTitle[5] under templateTitleSubject[1] from templateValue[0][last] to templateValue[0][0] . Just over seven templateScale templateTitle[1] had three or templateLabel[4][1] templateTitle[5] under 18 templateScale in the household in templateValue[0][0] .
This statistic shows the templateYLabel[0] of templateYLabel[1] in templateTitle[1] in the templateTitle[2] templateTitle[3] templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of templateYLabel[1] ( aged six years and older ) in templateTitle[1] amounted to approximately templateYValue[idxmax(X)] templateScale . Participation in templateTitle[1] - additional information The templateYLabel[0] of templateYLabel[1] in templateTitle[1] in the templateTitle[2] templatePositiveTrend significantly templateTitle[3] templateYValue[last] templateYValue[idxmin(X)] in templateXValue[min] up to templateYValue[max] templateScale in templateXValue[idxmax(Y)] .
In templateTitleDate[0] , hip-hop templateXLabel[0] templateXValue[0] amassed almost templateYValue[max] templateScale templateYLabel[1] in the templateTitle[3] , outranking templateXValue[7] , templateXValue[2] , and templateXValue[3] . Music streaming is a lucrative source of income for modern musicians and can make up significant portions of their annual income . Second in the ranking was templateXValue[1] with templateYValue[1] templateScale templateYLabel[1] , templateNegativeTrend behind slightly after far outperforming all other templateTitle[2] in 2018 with more than ten templateScale that year .
This statistic shows the templateTitle[0] templateTitle[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the templateTitle[0] templateTitle[1] of templateTitleSubject[0] was around templateYValue[6] templateScale people . See Switzerland 's templateTitle[1] figures for comparison .
This statistic shows the templateYLabel[0] of templateTitle[1] templateTitle[3] , templateYLabel[1] and templateTitle[4] in the templateTitle[5] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[max] people worked either part-time or full-time as templateTitle[1] templateTitle[4] , templateYLabel[1] or templateTitle[3] . Included are solo templateYLabel[1] without employees working part-time or full-time in their artistic trade .
This statistic shows the proportion of templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] templateYLabel[5] only ( excludes templateYLabel[1] templateYLabel[2] templateYLabel[3] both templateYLabel[4] templateYLabel[5] and eyeglasses ) in templateTitle[6] templateTitleSubject[0] templateTitle[8] in templateTitleDate[0] . In this year , templateXValue[1] , templateXValue[2] and templateXValue[0] had the highest proportion of templateYLabel[1] wearing templateYLabel[4] templateYLabel[5] with approximately templateYValue[max] templateScale doing so . This was followed by templateXValue[3] and templateXValue[4] with templateYValue[3] templateScale of the respective populations wearing templateYLabel[4] templateYLabel[5] .
This graph depicts the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] templateTitle[3] of the National Football League from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] came to templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] . The templateTitleSubject[0] templateTitle[3] are owned by the McCaskey family , who bought the templateYLabel[0] for 200 templateScale templateYLabel[3] templateYLabel[4] in templateXValue[15] .
This statistic presents the templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateTitleSubject[0] video platform templateYLabel[3] as of 2015 . As of that templateXLabel[0] , the video portal had templateYValue[last] templateScale templateYLabel[1] templateYLabel[2] templateYLabel[3] worldwide . The VoD service had been acquired by Japanese e-commerce company Rakuten in 2013 .
templateLabel[1][0] loan templateTitle[0] templateTitle[1] in the third templateLabel[0][0] of templateTitleDate[max] amounted to templateValue[1][0] templateScale templateTitleSubject[0] dollars and templateLabel[2][0] loan templateTitle[0] templateTitle[1] amounted to templateValue[2][0] templateScale templateTitleSubject[0] dollars . templateLabel[2][0] loans were more popular than templateLabel[1][0] loans in templateTitleDate[min] , but this trend has been changing since early-2014 and became more pronounced as of 2017 . templateLabel[1][0] vs templateLabel[2][0] loans A templateLabel[1][0] loan is the classic templateTitle[6] of templateTitle[0] which describes the process templateTitle[5] which a home buyer borrows money from a templateTitle[0] lender .
This statistic shows the survey on templateXValue[0] usage in the templateTitleSubject[0] in templateTitleDate[0] . According to the survey , templateYValue[0] templateScale of the templateYLabel[1] used an templateXValue[0] , while templateYValue[max] templateScale did not . templateYValue[min] templateScale of templateYLabel[1] said they did n't templateXValue[last] if they used templateXValue[0] blocking software .
This statistic presents the preferred time of the day for templateTitle[5] in the templateTitle[4] to shop templateTitle[1] . During the 2015 survey , templateYValue[max] templateScale of survey templateYLabel[1] stated that their templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] were between templateXValue[1] and templateXValue[last] templateXValue[1] .
The statistic shows the distribution of templateTitle[0] in templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , templateValue[1][0] templateScale of the employees in templateTitleSubject[0] were active in the agricultural templateTitle[3] , templateValue[2][0] templateScale in templateLabel[2][0] and templateValue[3][0] templateScale in the service templateTitle[3] .
The statistic shows the templateYLabel[0] of templateYLabel[1] due to templateTitleSubject[0] templateTitle[3] between templateXValue[min] and templateXValue[max] . templateYValue[idxmax(X)] people were killed by terrorists in templateXValue[idxmax(Y)] . The templateYLabel[0] of terrorist attacks templateTitle[3] declined between templateXValue[min] and templateXValue[1] .
This statistic displays the templateYLabel[0] of internet templateYLabel[1] templateYLabel[2] in single offender countries in templateTitleSubject[0] in templateTitleDate[0] . templateXValue[0] was the templateXLabel[0] with the highest suppression of templateTitle[0] templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] with templateYValue[max] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitleSubject[0] in templateTitleDate[0] . In templateTitleDate[0] , the most important templateTitle[1] partner templateTitle[3] templateTitleSubject[0] was templateXValue[0] , accounting templateTitle[3] templateYValue[max] templateScale of all templateYLabel[2] .
This statistic shows the templateTitle[0] templateTitle[1] in templateTitleSubject[0] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , about templateValue[1][min] templateScale of templateTitleSubject[0] 's total population were aged 0 to 14 templateLabel[1][1] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] in the templateTitleSubject[0] and the templateTitleSubject[0] templateTitle[6] from templateValue[0][last] to templateValue[0][0] . The figures refer to those younger than 25 years . In templateValue[0][0] , the templateTitle[0] templateTitle[1] templateTitle[2] in the templateTitleSubject[0] amounted to templateValue[2][0] templateScale .
This statistic shows the templateYLabel[0] of Scottish templateYLabel[1] templateTitle[3] the rest of the United Kingdom templateTitle[3] templateXValue[min] to templateXValue[max] . With the exception of templateXValue[17] , templateXValue[8] and templateXValue[4] , the templateYLabel[0] of templateTitleSubject[1] templateYLabel[1] has templatePositiveTrend templateTitle[3] templateYValue[idxmin(X)] templateScale in templateXValue[idxmin(Y)] to approximately templateYValue[max] templateScale by templateXValue[idxmax(Y)] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in the templateTitle[4] from templateValue[0][last] to templateValue[0][0] , templateTitle[7] templateTitle[8] . In templateValue[0][0] , there were templateValue[1][0] templateLabel[1][0] and templateValue[2][0] templateLabel[2][0] deaths templateTitle[7] templateTitle[3] per 100,000 resident population in the templateTitle[4] . templateTitle[3] rates - additional information From templateValue[0][last] to templateValue[0][0] the templateTitle[0] templateTitle[1] from templateTitle[3] templateTitle[2] males was consistently higher than that of females .
This statistic shows the templateTitleSubject[0] of the templateYLabel[1] templateYLabel[2] as of mid-2019 , templateTitle[4] templateTitle[5] . As of templateTitleDate[0] , about templateYValue[max] templateScale of the templateYLabel[1] templateYLabel[2] was living in templateXValue[0] . The total world templateYLabel[2] amounted to 7.69 templateScale people on the planet .
This statistic shows the templateYLabel[0] of templateYLabel[1] at templateTitleSubject[0] templateTitle[3] from templateXValue[min] to templateXValue[max] . templateTitleSubject[0] employed 312,028 members of staff globally in templateXValue[max] . templateTitleSubject[0] – additional information templateTitleSubject[0] , or to give it its full name , templateTitleSubject[0] Touche Tohmatsu Limited was founded in London in 1845 , and as of templateXValue[2] , its headquarters were located in New York City .
This statistic shows the total templateYLabel[0] of templateTitle[1] and templateTitle[2] in the templateTitle[3] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the total templateYLabel[0] of templateTitle[1] and templateTitle[2] in the templateTitle[3] amounted to templateYValue[idxmax(X)] templateScale templateYLabel[2] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] in the United Kingdom ( templateTitleSubject[0] ) templateTitle[3] templateTitle[4] their templateTitle[5] templateTitle[6] in templateTitleDate[min] and templateTitleDate[max] . In both years templateValue[0][10] retailer C templateValue[0][2] J templateValue[0][0] , trading as `` Clarks '' , held the largest templateTitle[6] of the templateTitleSubject[0] templateTitle[1] templateTitle[5] . Compared to templateTitleDate[min] , templateValue[0][1] templatePositiveTrend templateTitle[5] templateTitle[6] , ranking them as the second biggest templateTitle[1] retailer on the templateTitle[5] in templateTitleDate[max] .
This statistic shows the templateXLabel[0] templateYLabel[1] of the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in templateTitleDate[0] . In that year , templateXValue[0] was the templateTitle[2] templateTitle[3] templateXLabel[0] in the world . The European templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] was estimated to be about templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] .
This statistic shows the results of a templateTitleDate[0] survey among Americans aged 16 and older regarding the templateTitle[0] they are looking for in a close templateTitle[2] . This statistic only shows the top five answers to that question . templateYValue[max] templateScale of the templateYLabel[1] stated a close templateTitle[2] has to be loyal .
This statistic shows the average amount of templateTitle[1] templateTitle[2] templateTitle[3] generated between templateXValue[min] and templateXValue[max] in the templateTitle[0] . In templateXValue[max] , approximately templateYValue[idxmax(X)] templateYValue[idxmax(X)] templateYLabel[2] of templateTitle[1] templateTitle[2] templateTitle[3] were generated here .
templateTitleSubject[0] Park in the templateTitle[5] attracted a total of approximately templateYValue[0] templateScale templateYLabel[1] in templateXValue[max] , down from its visitation peak of templateYValue[max] templateScale in templateXValue[idxmax(Y)] . A templateTitleSubject[0] uniting nations templateTitleSubject[0] Park 's name derived from the many glaciers that shaped its topography for over templateYValue[4] templateScale years . Located in Montana on the Canada-U.S. border , templateTitleSubject[0] Park is the second half of the Glacier-Waterton International Peace templateTitleSubject[0] , the first half being Waterton Lakes templateTitleSubject[0] in Canada .
The statistic shows the most popular movie templateTitle[2] in the templateTitle[3] as of 2018 , broken down templateTitle[6] templateTitle[7] . The findings reveal that templateValue[0][7] comedies and templateValue[0][13] were less popular with Hispanics than with respondents in templateLabel[4][0] ethnic groups , and 20 templateScale more templateLabel[3][0] Americans than templateLabel[1][0] templateTitleSubject[0] adults have a very or or somewhat favorable attitudes towards the templateValue[0][14] genre .
This statistic shows the total amount of templateTitle[2] and templateLabel[2][0] templateTitle[3] of oranges in the templateTitle[0] from templateValue[0][0] to templateValue[0][last] . According to the report , templateTitleSubject[0] templateTitle[2] of oranges amounted to approximately templateValue[1][16] metric tons in templateValue[0][16] .
This graph depicts the annual National Hockey League templateYLabel[0] of the templateTitleSubject[0] from the templateXValue[last] season to the templateXValue[0] season . The templateYLabel[0] of the templateTitleSubject[0] amounted to templateYValue[0] templateScale templateYLabel[2] templateYLabel[3] in the templateXValue[0] season .
This statistic shows the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to about templateYValue[6] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitleSubject[0] templateTitle[3] titles templateTitle[5] as of 2019 . With templateYValue[max] templateScale templateYLabel[2] sold templateTitle[5] , templateXValue[0] 7 was the templateTitle[0] templateTitle[1] templateTitleSubject[0] templateTitle[3] game as of 2019 .
The timeline shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] ( green beans ) in the templateTitle[0] from templateXValue[min] to templateXValue[max] . The templateTitleSubject[0] templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] ( green beans ) amounted to about templateYValue[idxmax(X)] templateYLabel[3] in templateXValue[max] .
This statistic presents the templateScale of middle and high school students in the country who were templateXValue[0] , divided by the type of templateXValue[0] templateTitle[1] endured . During the 2019 survey , templateYValue[7] templateScale of templateXValue[0] templateTitle[1] victims had templateXValue[0] impersonated templateXValue[1] during the last templateYValue[max] days . templateXValue[0] templateTitle[1] includes unwanted contact by threatening or insulting the respondent via digital communications as well as sharing private information templateXValue[1] .
This line graph shows the templateYLabel[0] of templateTitle[1] traffic templateYLabel[1] per templateXLabel[0] in templateTitleSubject[0] between templateXValue[min] and templateXValue[max] . In templateXValue[9] , templateYValue[9] individuals were killed in motor vehicle accidents . An overall templateNegativeTrend in the templateYLabel[0] of templateTitle[1] templateTitle[2] was observed within the time period shown .
The statistic shows the templateTitle[0] templateTitle[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitle[1] in templateTitleSubject[0] was templateYValue[idxmax(X)] templateYLabel[1] templateYLabel[3] templateYLabel[4] . Overall , the templateYLabel[0] of births in templateTitleSubject[0] reached about 17.23 templateScale that templateXLabel[0] .
This statistic shows the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to about templateYValue[6] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
The statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] templateTitle[1] the greatest earthquake occurrence templateTitle[5] templateTitleDate[min] to templateTitleDate[max] . During this time , about templateYValue[2] templateScale templateYLabel[2] in templateXValue[0] were templateYLabel[1] by templateTitle[6] .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitle[1] templateTitle[2] in templateTitleSubject[0] was at about templateYValue[idxmax(X)] templateYLabel[0] templateYLabel[1] 1,000 templateYLabel[3] templateYLabel[4] .
This statistic depicts the templateTitle[0] templateTitle[1] of templateTitleSubject[0] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , about templateValue[1][min] templateScale of the population in templateTitleSubject[0] templateNegativeTrend into the 0 - templateValue[3][7] templateLabel[0][0] category , templateValue[1][idxmin(1)] templateScale into the templateValue[3][5] - 64 templateTitle[0] group and templateValue[2][idxmin(2)] templateScale were over templateLabel[3][0] templateLabel[1][1] of templateTitle[0] .
This statistic shows the templateYLabel[0] of templateXValue[22] templateYLabel[3] of the templateTitleSubject[0] templateTitle[2] templateTitleSubject[0] Group stores in templateTitleDate[0] , templateTitle[7] templateXLabel[0] . In templateTitleDate[0] , templateYValue[1] templateXValue[22] templateTitleSubject[0] templateTitle[2] templateTitleSubject[0] stores were opened in the country . templateTitleSubject[0] templateTitle[2] templateTitleSubject[0] is a Swedish clothing manufacturer and retailer , based in Stockholm , templateXValue[6] .
This statistic shows the templateTitleSubject[0] and territories templateTitle[1] the templateTitle[2] projected templateTitle[3] templateTitle[4] between templateTitleDate[min] and templateTitleDate[max] . Between templateTitleDate[min] and templateTitleDate[max] , templateXValue[0] is projected to have the templateTitle[2] templateTitle[3] templateTitle[4] , templateTitle[1] an templateYLabel[0] of templateYValue[min] templateYLabel[2] born templateYLabel[3] templateYLabel[4] .
This statistic shows templateTitle[0] and templateTitle[1] on templateTitle[2] templateTitle[3] in the templateTitle[4] in templateTitleDate[0] . The survey revealed that templateValue[1][0] templateScale of respondents are budgeting templateValue[1][last] thousand templateTitleSubject[0] dollars or templateValue[0][0] for their templateTitle[2] renovation .
The statistic shows the templateYLabel[0] templateYLabel[1] at templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the average templateYLabel[0] templateYLabel[1] at templateYLabel[2] in templateTitleSubject[0] was about templateYValue[idxmax(X)] templateYLabel[3] .
This statistic shows templateTitle[0] templateTitle[1] templateTitle[2] of US templateTitle[4] debt as of 2019 . At this time , templateXValue[0] held templateTitle[4] templateYLabel[0] totaling about templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] .
The statistic shows templateTitleSubject[0] 's templateYLabel[0] from the fiscal templateXLabel[0] of templateXValue[min] to the fiscal templateXLabel[0] of templateXValue[max] . In the templateXValue[max] fiscal templateXLabel[0] , the Virginia-based aerospace and defense technology company generated some templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] in templateYLabel[0] .
This statistic shows the templateScale of templateTitleSubject[0] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] a templateTitle[6] as of 2018 , sorted templateTitle[8] templateTitle[9] templateTitle[10] . According to the survey , templateYValue[max] templateScale of templateTitleSubject[0] templateTitle[2] aged templateXValue[0] to templateXValue[0] had templateTitle[5] a photograph of themselves and uploaded it to a social media website .
This statistic shows the results of a survey among templateTitleSubject[0] in templateTitleDate[0] regarding what they would templateValue[0][4] their templateTitle[6] . The results were sorted templateTitle[9] templateTitle[10] . Some templateValue[1][0] templateScale of female respondents stated that they would templateValue[0][4] their templateTitle[6] a templateValue[0][0] in templateTitleDate[0] .
This statistic shows the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitleDate[min] to templateTitleDate[max] . templateXValue[2] , in Africa , was the third templateTitleSubject[0] templateTitle[1] templateTitle[2] destination with an templateYLabel[0] templateYLabel[1] rate of templateYValue[2] templateScale templateYLabel[3] templateYLabel[4] .
As of the third templateXLabel[0] of templateTitleDate[max] , templateTitle[0] had a combined templateYValue[max] templateScale templateTitle[2] templateTitle[3] templateYLabel[1] in the country and Canada . templateTitle[0] user data – additional information templateTitle[0] 's data use policy or privacy policy as it is also known , highlights the company 's guidelines concerning user privacy , information and how they are likely to be used . It also highlights the difference between public and private data and the websites and third part apps which are integrated into its services .
The statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at around templateYValue[6] templateScale . templateTitleSubject[0] 's economy Three-quarter of templateTitleSubject[0] 's workforce is employed in the services sector , with the other two sectors , agriculture and industry , accounting for the rest of templateTitleSubject[0] 's employment .
The statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . The amount of the templateYLabel[1] of the templateTitleSubject[0] amounted to around templateYValue[6] templateScale templateYLabel[3] templateYLabel[4] in templateXValue[6] . templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] National templateYLabel[1] in the templateTitleSubject[0] is a topic of much debate and controversy , primarily due to large amounts of unnecessary spending .
In templateValue[0][0] , it is estimated that 86.9 templateScale of people living in templateLabel[1][0] countries used the templateTitle[1] , compared to templateValue[2][0] templateScale of individuals living in templateLabel[2][0] markets . The templateTitleSubject[0] online templateTitle[2] templateTitle[3] was templateValue[3][0] templateScale .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitle[1] templateTitle[2] in templateTitleSubject[0] was at about templateYValue[idxmax(X)] templateYLabel[0] templateYLabel[1] 1,000 templateYLabel[3] templateYLabel[4] .
The statistic shows the templateTitle[0] of templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the workforce in templateTitleSubject[0] had amounted to around templateYValue[idxmax(X)] templateScale people.Workforce in templateTitleSubject[0] – additional information In templateXValue[1] , templateTitleSubject[0] 's total population had reached 1.39 templateScale . The labor force of templateTitleSubject[0] , which refers to the population aged 16 and over and capable of working , stood at 806 templateScale in templateXValue[max] , marking a slight templateNegativeTrend of one templateScale templateYLabel[1] from templateXValue[1] .
This statistic shows the an estimate of templateTitle[1] templateYLabel[0] worldwide , from the 2017 fiscal year to fiscal year 2021 , templateTitle[3] select templateXLabel[0] . The templateXValue[0] is projected to spend about templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] on drones between 2017 and 2021 , making it the templateXLabel[0] with the greatest expenditure on drones .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] ( templateYLabel[0] ) in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . templateYLabel[0] refers to the total market value of all goods and services that are produced within a country per templateXLabel[0] . It is an important indicator of the economic strength of a country .
This graph depicts the templateYLabel[0] templateTitle[1] templateTitle[2] templateTitle[3] templateYLabel[1] of the templateTitleSubject[0] templateTitle[6] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] at templateTitle[3] games of the templateTitleSubject[0] templateTitle[6] was templateYValue[idxmax(X)] .
As of the third quarter of templateTitleDate[0] , it was found that templateYValue[0] templateScale of templateTitle[0] users in the templateTitleSubject[0] accessed the social platform templateXValue[0] a templateXValue[0] . A further templateYValue[1] templateScale of templateYLabel[1] claimed that they used templateTitle[0] on a templateXValue[1] basis .
This statistic shows the templateYLabel[0] templateYLabel[1] of the world population from templateXValue[min] to templateXValue[max] . By templateXValue[max] , the templateTitle[1] templateYLabel[0] templateYLabel[1] is templateTitleSubject[0] to be templateYValue[idxmax(X)] years of templateYLabel[1] .
According to a templateTitleDate[0] survey , templateXValue[0] for the templateTitle[1] of templateTitle[2] templateTitle[3] for electricity generation in the templateTitleSubject[1] outweighed opposition . Of templateYLabel[1] , 35 templateScale supported its templateTitle[1] , compared to 23 templateScale who opposed it . Despite templateTitle[2] disasters occurring as recently as 2011 , when a tsunami hit a power plant in Fukushima , Japan , approximately 34 templateScale of templateTitleSubject[1] residents believe it provides a safe source of templateTitle[3] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] and templateTitle[4] templateTitle[5] in the templateTitle[6] , Saui-Arabia , and templateValue[0][3] , as at templateTitleDate[0] . As at templateTitleDate[0] , the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in the templateTitle[6] amounted to templateValue[1][2] templateValue[0][1] dollars per ton , whereas the templateTitle[4] templateLabel[2][3] amounted to templateValue[2][2] templateValue[0][1] dollars per ton . templateTitle[0] templateTitle[1] is mainly used for the manufacture of antifreeze formulations and polyesters .
The statistic shows templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) denotes the aggregate value of all services and goods produced within a country in any given templateXLabel[0] . templateTitle[3] is an important indicator of a country 's economic power .
This statistic shows the templateTitle[0] templateTitle[1] of templateTitleSubject[0] inhabitants from templateValue[0][last] to templateValue[0][0] , templateTitle[5] templateTitle[6] . In templateValue[0][0] , about templateValue[1][0] templateScale of templateTitleSubject[0] templateTitle[1] were templateLabel[2][0] templateLabel[1][1] .
This statistic shows the templateYLabel[1] rate of the global templateTitle[2] templateTitle[3] templateTitle[4] from templateXValue[min] to templateXValue[max] . The templateTitle[2] templateTitle[3] templateTitle[4] is templateTitle[1] to grow by templateYValue[9] templateScale in templateXValue[9] , reaching 42 templateScale U.S. dollars in size .
In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] amounted to about templateYValue[idxmax(X)] templateScale compared to the previous templateXLabel[0] . From templateXValue[min] to the previous templateXLabel[0] , the templateYLabel[0] templateYLabel[1] of a result was steadily . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] was about templateYValue[0] templateScale .
This statistic shows the templateTitle[0] templateTitle[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the templateTitle[0] templateTitle[1] of templateTitleSubject[0] was around templateYValue[6] templateScale people . See Switzerland 's templateTitle[1] figures for comparison .
The statistic shows the top 25 templateTitleSubject[0] templateTitle[1] templateTitle[2] with the most templateYLabel[1] templateYLabel[2] from 1950 to templateTitleDate[0] . templateXValue[0] had templateYValue[max] templateYLabel[1] templateYLabel[2] throughout his career .
This statistic shows the templateScale of internet templateYLabel[1] in the templateTitle[1] who use templateTitle[2] as of 2017 , sorted templateTitle[5] templateTitle[6] templateTitle[7] . As of the measured period , over templateYValue[0] templateScale of 15 to 24 templateXLabel[0] old templateTitleSubject[0] internet templateYLabel[1] accessed online mail .
This statistic shows the templateTitleSubject[0] templateTitle[1] the templateTitle[2] templateYLabel[0] templateTitle[4] average templateTitle[5] for the period 2007 - templateTitleDate[0] . In that period , templateXValue[0] was the templateXLabel[0] templateTitle[1] the templateTitle[2] number of templateYLabel[0] in relation to its templateYLabel[3] . There were templateYValue[max] templateYLabel[0] templateYLabel[1] every 1,000 of templateXValue[0] 's templateYLabel[3] .
The templateTitleSubject[0] templateTitle[1] templateTitle[2] templateYLabel[0] was projected to around templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] in templateXValue[idxmax(Y)] . In the same templateXLabel[0] , the California-based templateTitle[2] templateYLabel[0] for templateTitleSubject[0] templateTitle[1] is projected to reach around templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] .
This statistic displays a forecast of the templateTitle[0] of templateTitle[1] templateTitle[2] templateYLabel[0] in the templateTitleSubject[1] from third templateXLabel[0] templateXValue[10] to second templateXLabel[0] templateXValue[0] . It is forecast that there will be templateYValue[max] templateScale templateTitle[1] templateTitle[2] templateYLabel[0] as of templateXLabel[0] two templateXValue[0] .
The statistic shows the templateYLabel[1] in real templateYLabel[0] in templateTitleSubject[0] from between templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , templateTitleSubject[0] 's real templateTitle[0] templateTitle[1] templateTitle[2] templatePositiveTrend by around templateYValue[6] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic shows the templateLabel[1][0] templateTitleSubject[0] ( UK ) templateTitle[2] templateTitle[7] templateTitle[3] templateTitle[4] from fiscal templateLabel[0][0] templateValue[0][last] to fiscal templateLabel[0][0] templateValue[0][0] . templateLabel[2][0] templateTitle[4] peaked in templateValue[0][10] with revenue of 9.8 templateScale British pounds ( GBP ) .
German vehicle manufacturer templateTitleSubject[0] templateYLabel[1] templateYValue[0] cars in the templateTitleSubject[1] in 2019 . Generally , templateTitle[2] figures were highest in and of each year , with 2018 being a notable exception . The Driver & Vehicle Licensing Agency issues new registration plates in and , which usually corresponds with an templatePositiveTrend templateTitle[2] volume .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] .The templateYLabel[0] templateYLabel[1] is the templateYLabel[1] that divides a templateTitle[2] into two numerically equal groups ; that is , half the people are younger than this templateYLabel[1] and half are older . It is a single index that summarizes the templateYLabel[1] distribution of a templateTitle[2] . In templateXValue[7] , the templateYLabel[0] templateYLabel[1] of the templateTitle[2] of templateTitleSubject[0] was templateYValue[7] templateYLabel[2] .
This statistic displays the average templateTitle[0] templateTitle[1] in templateValue[0][0] for those born in templateTitleDate[0] , by gender and region . The average templateTitle[0] templateTitle[1] across the whole continent was templateValue[1][2] years for templateLabel[1][0] and templateValue[2][2] years for templateLabel[2][0] . The average templateTitle[0] templateTitle[1] globally was 70 years for templateLabel[1][0] and 75 years for templateLabel[2][0] in templateTitleDate[0] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] of templateTitle[3] templateTitle[4] in the templateTitleSubject[0] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , the templateTitle[0] templateTitle[1] templateTitle[2] of templateLabel[1][0] was templateValue[1][0] templateTitleSubject[0] dollars per pound of templateLabel[2][1] equivalent in the templateTitle[5] .
In templateXValue[max] , templateTitleSubject[0] produced templateYLabel[0] amounted to templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] , up from templateYValue[1] templateScale templateYLabel[2] templateYLabel[3] in the previous templateXLabel[0] . The source of templateYValue[1] templateScale templateYLabel[2] templateYLabel[3] in the templateTitle[0] .
This statistic represents templateTitleSubject[0] 's templateYLabel[0] templateYLabel[1] between the fiscal templateXLabel[0] of templateXValue[min] and the fiscal templateXLabel[0] of templateXValue[max] . In the fiscal templateXLabel[0] of templateXValue[max] , templateTitleSubject[0] 's templateYLabel[0] templateYLabel[1] generated approximately templateYValue[0] templateYValue[idxmax(X)] templateYLabel[3] templateYLabel[4] .
The statistic shows information on the monthly templateYLabel[0] of templateTitle[2] templateTitle[3] templateYLabel[1] of Grand Theft Auto templateTitleSubject[0] on templateTitleSubject[0] worldwide as of 2020 . In 2020 , templateTitle[0] templateTitleSubject[0] reached templateYValue[max] thousand templateTitle[3] templateYLabel[1] on templateTitleSubject[0] .
This statistic shows the templateYLabel[0] of templateTitle[2] templateYLabel[1] at templateTitle[3] establishments in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of templateYLabel[1] in travel templateTitle[3] ( including both international and domestic tourists ) amounted to approximately templateYValue[idxmax(X)] templateScale .
This statistic shows the templateTitle[1] of templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[3] , the templateTitle[1] of templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] is estimated to reach templateYValue[1] templateScale .
This statistic shows the templateTitle[0] templateTitle[1] the largest templateYLabel[0] of templateTitle[3] templateTitle[4] templateYLabel[2] templateTitle[6] in the templateTitle[7] in templateTitleDate[0] . According to the source , Connecticut was the templateXLabel[0] templateTitle[1] the templateTitle[2] templateTitle[3] templateTitle[4] templateYLabel[2] templateTitle[6] in templateTitleDate[0] templateTitle[1] templateYValue[max] templateYLabel[1] to every templateYLabel[3] thousand templateYLabel[5] .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateTitle[4] a templateTitle[5] templateTitle[6] in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were around templateYValue[max] templateScale templateYLabel[1] templateTitle[4] a male householder and no spouse present in the templateTitleSubject[0] .
This statistic shows the leading templateTitleSubject[0] templateTitle[2] based on templateTitle[3] templateTitle[4] from 2014 to templateTitleDate[max] . In templateValue[0][0] , some 234.7 templateScale pounds of templateTitle[3] were produced in templateTitleDate[max] . China was the biggest templateTitle[3] producer worldwide in that year .
This statistic shows the results of a templateTitle[0] among adult Americans who have one or more templateTitle[2] . The templateTitle[0] was conducted in templateTitleDate[0] , asking the templateYLabel[1] whether they ever regret getting any of their templateTitle[2] , or not . templateYValue[max] templateScale of templateYLabel[1] stated they do not regret getting any of their templateTitle[2] .
The timeline presents data on the templateTitle[4] templateTitle[5] generated by Twenty First templateTitle[1] templateTitleSubject[0] in the fiscal years templateXValue[min] to templateXValue[max] . In templateXValue[max] , the company generated some templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] in templateYLabel[0] .
This statistic shows templateTitleSubject[0] templateTitle[1] on templateTitle[2] templateTitle[3] in templateTitleDate[0] . In templateValue[0][0] , templateValue[3][0] templateScale of residents believe that templateTitle[2] templateTitle[3] among adults is morally templateLabel[3][0] . templateTitle[3] before marriage templateValue[1][11] out of templateValue[1][24] people in templateValue[0][0] , templateValue[0][1] , templateValue[0][2] , and templateValue[0][4] believed that engaging in templateTitle[3] before marriage was templateLabel[1][0] templateLabel[2][0] .
A 2017 survey of templateTitleSubject[0] adults found that approximately templateYValue[max] templateScale of American templateXValue[0] and templateYValue[min] templateScale of American templateXValue[last] currently smoke templateTitle[4] . Impact of Legalizing Cannabis in the templateTitle[0] . Since Washington and Colorado legalized recreational templateTitle[4] in 2012 , several more states have followed suit .
This statistic shows the results of a survey on the templateTitle[0] templateTitle[1] templateTitleSubject[0] templateTitle[3] in templateTitleSubject[1] as of 2018 . The survey found that templateXValue[0] templateTitle[7] was templateTitleSubject[1] 's templateTitle[0] loved templateTitleSubject[0] princess with templateYValue[min] out of templateYValue[max] British adults choosing her as their favorite . templateXValue[1] and templateXValue[3] were second and third templateTitle[0] templateTitle[1] at templateYValue[2] and templateYValue[1] templateScale .
This statistic shows the results of a survey carried out in templateTitleDate[0] in the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] . In templateTitleDate[0] , templateYValue[max] templateScale of templateTitleSubject[0] templateTitle[1] were templateLabel[2][0] templateTitle[3] .
This statistic shows the templateYLabel[0] of templateYLabel[1] in templateTitleSubject[0] in templateTitleDate[0] , broken down templateTitle[3] templateTitle[4] . That year , there were a total of approximately two templateScale templateYLabel[1] in templateXValue[0] . Almost templateYValue[max] thousand had Spanish templateTitle[4] , followed templateTitle[3] templateYLabel[1] with a Moroccan templateTitle[4] with figures that almost reached 770 thousand individuals .
This statistic shows the share of templateTitle[3] templateYLabel[2] templateTitle[0] templateTitleSubject[0] templateYLabel[3] templateTitle[5] in templateTitleDate[0] , templateTitle[6] templateXLabel[0] . In templateTitleDate[0] , templateTitle[3] templateTitle[0] templateTitleSubject[0] templateYLabel[3] templateTitle[4] in templateXValue[0] accounted for around templateYValue[max] templateScale of the world 's total templateTitle[3] templateYLabel[2] grid-connected templateTitleSubject[0] templateYLabel[3] .
This statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] Gross Domestic Product of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] of templateTitleSubject[0] stood at templateYValue[max] templateYValue[idxmax(X)] templateXValue[6] templateYLabel[6] templateYLabel[7] .
This graph depicts the templateYLabel[0] templateYLabel[1] templateYLabel[2] for templateTitleSubject[0] games in Major League Baseball from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] templateYLabel[2] was at templateYValue[idxmax(X)] templateYLabel[3] templateYLabel[4] .
The statistic shows the templateYLabel[0] of templateTitle[1] templateTitle[2] templateYLabel[2] in templateTitleDate[0] , templateTitle[5] templateXLabel[0] . In that year , the majority of templateTitle[1] templateTitle[2] were based in the templateXValue[0] and Europe . In templateTitleDate[0] , there were templateYValue[max] templateTitle[1] templateTitle[2] in the templateXValue[0] .
This statistic shows the templateTitleSubject[0] templateTitle[2] templateYLabel[0] of templateTitle[1] ( average for all templateTitle[1] varieties ) from 2016 to 2019 . In templateXValue[6] 2017 , the templateTitle[1] templateTitle[2] templateYLabel[0] amounted to templateYValue[30] .
This statistic shows a timeline with the global templateTitle[1] of templateTitle[2] templateTitle[3] templateTitle[4] templateTitleSubject[0] templateTitle[6] templateTitle[7] from the first templateLabel[0][0] of templateTitleDate[min] to the third templateLabel[0][0] of templateTitleDate[max] , templateTitle[7] templateTitle[8] . During the survey period , it was found that templateValue[1][0] templateScale of templateTitle[2] templateTitle[3] sales .
This statistic shows the templateTitle[0] of VAT and/or PAYE based templateTitle[6] in the templateTitle[1] templateTitle[2] , templateTitle[4] templateTitle[5] and other reservation service and related activities sector in the United Kingdom from templateTitleDate[min] to templateTitleDate[max] , templateTitle[8] templateLabel[0][0] size band . As of 2019 , there were templateValue[7][min] templateTitle[6] with a templateLabel[0][0] of more than 5 templateValue[0][5] templateLabel[0][1] in this sector .
This statistic shows the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to about templateYValue[6] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This graph depicts the templateYLabel[0] templateYLabel[1] templateYLabel[2] for templateTitleSubject[0] games in Major League Baseball from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] templateYLabel[2] was at templateYValue[idxmax(X)] templateYLabel[3] templateYLabel[4] .
This graph shows the templateScale of templateTitle[5] of the templateTitleDate[0] presidential elections in the country on 9 , templateTitleDate[0] , templateTitle[6] templateTitle[7] . According to the templateTitle[2] templateTitle[3] , about templateValue[1][last] templateScale of templateValue[0][1] voters nationwide voted for templateLabel[1][0] templateLabel[1][1] .
This statistic shows the templateTitle[0] templateYLabel[0] of templateTitle[2] templateTitle[3] in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateYLabel[0] of templateTitle[2] templateTitle[3] reached approximately templateYValue[idxmax(X)] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic offers insights regarding the level of templateTitle[6] in the templateTitleSubject[0] templateTitle[1] templateTitle[2] and templateTitle[3] templateTitle[4] templateYLabel[1] . In templateXValue[max] , the templateXValue[1] templateXValue[0] accounted for templateYValue[1] templateScale of the templateYLabel[1] 's total templateYLabel[2] . In 2015 , the templateYLabel[2] of the templateTitleSubject[0] templateTitle[1] picture/video templateTitle[4] and distribution templateYLabel[1] reached 64.43 templateScale templateTitleSubject[0] dollars .
The statistic shows the templateTitle[0] templateTitle[1] of the templateTitleSubject[0] in templateTitleSubject[1] from the first templateXLabel[0] of templateXValue[24] to the third templateXLabel[0] of templateXValue[0] . During the third templateXLabel[0] of templateXValue[0] , the templateTitle[0] templateTitle[1] of the templateTitleSubject[0] templateTitle[3] was at templateYValue[max] templateScale .
A survey conducted in templateTitleDate[0] reveals that the largest groups of Italian templateYLabel[1] cheated on templateTitle[5] templateXValue[5] either templateTitle[1] a templateXValue[0] or templateTitle[1] a templateXValue[1] . In templateXValue[2] , templateYValue[max] templateScale of interviewees in Italy stated that they betrayed templateTitle[5] templateXValue[5] templateTitle[1] a templateXValue[0] , while templateYValue[1] templateScale did so templateTitle[1] a templateXValue[1] . However , it was common to templateTitle[4] templateTitle[1] strangers as well .
The statistic shows the results of a survey conducted irregularly between templateValue[0][0] and templateValue[0][13] among adult Americans and the templateTitle[0] of templateTitle[1] templateTitle[2] in the templateTitleSubject[0] as of templateTitleDate[0] . During the survey , templateValue[1][0] templateScale of respondents stated that they approved of templateValue[0][7] and templateValue[0][4] .
This statistic depicts the templateTitle[0] templateYLabel[0] in the NFL and the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateYLabel[0] amounted to approximately templateYValue[idxmax(X)] templateScale templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] of templateTitle[0] templateTitle[1] templateYLabel[1] in selected countries in templateTitleSubject[0] in templateTitleDate[0] . templateXValue[0] had templateTitle[5] far the highest templateYLabel[0] of people using templateTitle[0] templateTitle[1] companies in templateTitleSubject[0] and almost five times as many as templateXValue[2] . In templateXValue[3] there were an estimated templateYValue[3] templateTitle[0] share templateYLabel[1] .
This statistic depicts the templateTitle[0] and templateTitle[1] templateYLabel[0] in the templateTitle[3] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , some templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] of templateTitle[1] were generated from the templateTitle[3] .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateTitleSubject[0] chat app templateYLabel[2] from 2014 to 2016 . As of that templateXLabel[0] , the mobile messenger hat templateYValue[max] templateScale templateYLabel[1] templateYLabel[2] worldwide . templateTitleSubject[0] messenger templateYLabel[2] – additional information Instant messaging has been templatePositiveTrend popularity in the last years thanks to the rise of mobile and smartphone growth .
This statistic shows the templateYLabel[0] of the templateYLabel[1] in templateTitleSubject[0] on templateTitle[6] 1st , templateTitleDate[0] , templateTitle[3] templateTitle[4] templateTitle[5] . In templateXValue[max] , people aged under templateXValue[0] accounted for more templateXValue[0] 17 templateScale of the total French templateYLabel[1] , whereas slightly more templateXValue[0] templateYValue[last] templateScale of the templateYLabel[1] were templateXValue[last] templateXValue[0] and templateXValue[last] . templateTitle[3] comparison , the number of members of the templateYLabel[1] over the templateTitle[4] of templateXValue[11] templateXValue[0] has templatePositiveTrend even more prominently , templatePositiveTrend templateTitle[3] 3.92 templateScale , amounting to templateYValue[11] templateScale in 2017 .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in templateTitle[3] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[idxmax(X)] templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] . Gambling in templateTitleSubject[0] - additional information The templateYLabel[0] of templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] templatePositiveTrend by more than 2,000 between 2007 and templateXValue[1] .
The templateTitle[0] templateTitle[1] templateTitle[2] of the United Kingdom is forecasted to be generally stable in the near future , and only templateYLabel[1] by templateScale of between templateYValue[min] and templateYValue[1] templateScale up until templateXValue[idxmin(Y)] . In early templateXValue[4] the templateTitle[3] rate was even lower than this at 1.8 templateScale . Peak of 4.5 in 2011 The templateTitle[0] templateTitle[1] templateTitle[2] is the most important measure of inflation within an economy and calculates how the cost of a typical basked of templateTitle[0] goods changes over time .
The statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[2] templateTitle[3] templateYLabel[0] in templateTitleDate[0] , templateTitle[6] templateXLabel[0] . In that year , The templateTitle[2] templateYLabel[0] templateYLabel[1] of templateXValue[0] was approximately templateYValue[max] templateScale .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] ( templateYLabel[0] ) in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . templateYLabel[0] refers to the total market value of all goods and services that are produced within a country per templateXLabel[0] . It is an important indicator of the economic strength of a country .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitle[3] from templateTitleDate[min] to templateTitleDate[max] . As of that templateXLabel[0] , the social network had templateYValue[max] templateScale templateYLabel[2] , up from templateYValue[4] templateScale templateYLabel[2] in the corresponding period of the previous year . templateYLabel[1] – further information Founded in 2007 , templateYLabel[1] is a microblogging website and social media platform that is now owned by Yahoo .
The statistic shows the templateYLabel[1] in real templateYLabel[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , templateTitleSubject[0] 's real templateTitle[0] templateTitle[1] templateTitle[2] templatePositiveTrend by around templateYValue[6] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic shows the templateTitle[5] forecast for the templateTitle[3] templateTitle[1] templateTitle[2] templateTitle[4] in the United Kingdom ( templateTitleSubject[0] ) from templateValue[0][last] to templateValue[0][0] , templateTitle[9] templateTitle[10] . The estimated templateTitle[1] templateTitle[2] templateTitle[5] templateTitle[6] of the defense and templateLabel[2][1] templateTitle[4] in templateValue[0][0] is templateValue[2][0] templateScale British pounds ( GBP ) . templateTitle[1] templateTitle[2] , also often called IT templateTitle[2] or computer templateTitle[2] , is a vital part to any business .
The statistic illustrates the answers to the following survey question : `` The templateTitle[2] templateXValue[0] templateTitle[5] will probably cost a thousand euros . templateXValue[last] you willing to pay that ? '' As of templateTitleDate[0] , roughly 20 templateScale of the templateYLabel[1] said to templateXValue[0] the templateXValue[0] from templateTitleSubject[0] when it is released , even if it templateTitle[6] them a thousand euros . However , more than half of the templateYLabel[1] said the price is templateXValue[1] absurd for an templateTitleSubject[0] templateXValue[0] .
The statistic shows the templateYLabel[0] of the templateTitleSubject[0] Pelicans franchise from the templateXValue[last] season to the 2017/18 season . In 2017/18 , the estimated templateYLabel[0] of the National Basketball Association franchise amounted to templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] .
This statistic displays the templateTitle[0] of templateTitle[1] in the United Kingdom ( templateTitleSubject[0] ) templateTitle[3] templateTitle[4] their templateTitle[5] in templateTitleDate[0] . In templateTitleDate[0] , templateValue[1][0] templateLabel[1][0] and templateValue[2][1] years for women in templateTitle[0] templateTitle[1] .
This statistic provides a comparison of the templateTitle[0] amount of templateLabel[0][2] templateTitle[4] on templateTitle[5] housework by gender in templateTitleSubject[0] member templateTitle[8] as well as templateValue[0][21] , templateValue[0][2] and templateValue[0][12] . As of templateTitleDate[0] , Portuguese men templateTitle[4] templateValue[1][3] templateTitle[1] templateTitle[2] templateTitle[3] on unpaid templateTitle[6] on templateTitle[0] while for women the templateTitle[0] was templateValue[2][3] templateTitle[1] .
This statistic presents the templateLabel[2][0] penetration of the templateTitle[0] templateTitle[2] sector in templateTitleSubject[0] , showing the templateTitle[1] of templateLabel[2][0] and templateLabel[1][0] templateTitle[2] templateTitle[3] in templateValue[0][0] and with a forecast for templateValue[0][last] . In templateValue[0][0] , templateLabel[2][0] templateTitle[4] made up templateValue[2][0] templateScale of total templateTitle[2] templateTitle[3] of templateTitle[0] . This is predicted to templatePositiveTrend to templateValue[2][last] templateScale templateTitle[7] templateValue[0][last] .
This statistic shows the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateYLabel[0] templateYLabel[1] in templateXValue[min] , and a forecast for templateXValue[max] . In templateXValue[min] , the templateTitle[1] templateTitle[2] templateYLabel[0] was valued at templateYValue[idxmin(X)] templateScale templateYLabel[3] templateYLabel[4] . templateTitle[1] templateTitle[2] is a type of inflammatory bowel disease ( IBD ) which is characterized by the formation of ulcers in the colon .
This statistic displays the development in templateYLabel[0] templateTitle[2] templateTitle[3] in templateTitleSubject[0] in templateXValue[min] with a templateTitle[0] from templateXValue[5] to templateXValue[max] . In templateXValue[min] , the number of templateYLabel[0] templateYLabel[1] amounted to templateYValue[idxmin(X)] templateScale . In the same templateXLabel[0] , templateYLabel[0] penetration rate was at 86.95 templateScale .
This graph shows the templateScale of Americans templateTitle[3] were templateTitle[5] in templateTitleDate[0] , distinguished templateTitle[7] templateTitle[8] and templateTitle[9] . In templateTitleDate[0] , 47.51 templateScale of the templateLabel[1][0] Americans , aged templateValue[0][4] templateValue[0][0] and templateValue[0][4] , were templateTitle[5] .
This statistic depicts the templateTitle[0] estimated annual templateTitle[1] to templateTitle[2] different universities and college institutions in the templateTitle[3] for academic years templateValue[0][0] to templateValue[0][last] . The templateTitle[0] templateTitle[1] of attendance ( which includes tuition , fees , room and board ) in templateLabel[1][0] templateLabel[2][1] in-state institutions was templateValue[2][last] templateTitleSubject[0] dollars in the academic templateLabel[0][0] templateValue[0][last] .
The statistic depicts the sales of the templateTitle[1] templateTitle[2] templateTitle[3] in templateTitleSubject[0] in 2010 and a forecast for the years templateTitle[5] templateXValue[max] . According to CLSA Asia-Pacific Market , templateTitle[1] sales templateYLabel[0] in templateTitleSubject[0] will amount to templateYValue[5] templateScale templateYLabel[2] in templateXValue[5] .
The statistic depicts templateTitleSubject[0] 's templateTitle[0] templateTitle[1] templateTitle[2] ( templateYLabel[0] ) templateYLabel[1] templateYLabel[2] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . templateYLabel[0] refers to the total market value of all goods and services that are produced within a country per templateXLabel[0] . It is an important indicator of the economic strength of a country .
This statistic shows the templateTitle[0] templateTitle[1] the largest templateYLabel[0] of templateTitle[3] templateTitle[4] templateYLabel[2] templateTitle[6] in the templateTitle[7] in templateTitleDate[0] . According to the source , Connecticut was the templateXLabel[0] templateTitle[1] the templateTitle[2] templateTitle[3] templateTitle[4] templateYLabel[2] templateTitle[6] in templateTitleDate[0] templateTitle[1] templateYValue[max] templateYLabel[1] to every templateYLabel[3] thousand templateYLabel[5] .
This statistic shows the templateYLabel[0] of templateTitle[2] templateYLabel[1] at templateTitle[3] establishments in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of templateYLabel[1] in travel templateTitle[3] ( including both international and domestic tourists ) amounted to approximately templateYValue[idxmax(X)] templateScale .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] ( templateYLabel[0] ) templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[7] , with projections up until templateXValue[max] . templateYLabel[0] is the total value of all goods and services produced in a country in a templateXLabel[0] . It is considered to be a very important indicator of the economic strength of a country and a positive change is an indicator of economic growth .
This statistic shows the templateTitle[1] templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . For instance , templateYValue[idxmax(X)] templateScale of templateTitleSubject[0] 's templateYLabel[1] lived below the templateTitle[1] line in templateXValue[max] .
This statistic shows the share of templateTitle[3] templateYLabel[2] templateTitle[0] templateTitleSubject[0] templateYLabel[3] templateTitle[5] in templateTitleDate[0] , templateTitle[6] templateXLabel[0] . In templateTitleDate[0] , templateTitle[3] templateTitle[0] templateTitleSubject[0] templateYLabel[3] templateTitle[4] in templateXValue[0] accounted for around templateYValue[max] templateScale of the world 's total templateTitle[3] templateYLabel[2] grid-connected templateTitleSubject[0] templateYLabel[3] .
In templateTitleDate[0] , templateValue[0][0] had the highest templateTitleSubject[0] templateTitle[1] in the world at templateValue[1][0] templateScale , and templateLabel[2][0] templateLabel[2][1] use was nearly ubiquitous . In the majority of countries where more than 90 templateScale owned a templateLabel[2][0] templateLabel[2][1] , templateTitleSubject[0] templateTitle[1] is higher than 70 templateScale , which is somewhat of an indicator for an templateValue[0][10] economy . templateTitleSubject[0] user numbers are templatePositiveTrend The number of global templateTitleSubject[0] users has constantly been templatePositiveTrend ever since the first smartphones hit the market , surpassing the three templateScale mark for the first time in 2019 .
This statistic shows the templateTitleSubject[0] of templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] from templateValue[0][last] to templateValue[0][0] , templateTitle[7] templateTitle[8] . In templateValue[0][0] , there were templateValue[1][1] templateScale templateTitle[1] templateTitle[2] templateTitle[3] in templateLabel[1][0] templateLabel[1][1] and templateValue[3][0] templateScale in the templateLabel[3][0] templateLabel[3][1] . templateTitle[1] tourism - additional information The templateTitleSubject[0] of templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templatePositiveTrend year-on-year between templateValue[0][last] and templateValue[0][1] , with the exception of templateValue[0][9] when the figure templateNegativeTrend slightly – most likely due to the economic downturn experienced globally during that templateLabel[0][0] .
Just five templateScale of houses in the templateTitleSubject[0] ( templateTitleSubject[1] ) were not heated using a templateTitle[1] templateTitle[2] system , as of templateTitleDate[max] . The share of houses using a templateTitle[1] templateTitle[2] system climbed steadily until templateXValue[13] , templatePositiveTrend from templateYValue[18] templateScale in the templateXLabel[0] templateXValue[18] . 86 templateScale of properties use gas as the fuel for their templateTitle[1] templateTitle[2] system .
The statistic shows the templateTitle[0] of templateTitle[1] templateTitle[2] templateYLabel[1] in the templateTitleSubject[0] as of 2014 , broken down templateTitle[6] templateTitle[7] . During the measured period , templateYValue[max] templateScale of templateTitle[1] templateTitle[2] templateYLabel[1] were between 30 and 34 years old .
The statistic represents the templateYLabel[0] of templateTitle[3] templateYLabel[1] in templateTitleSubject[0] in templateXValue[min] and templateXValue[1] , with a forecast for templateXValue[max] . According the calculations , there were templateYValue[idxmin(X)] templateScale templateTitle[3] templateYLabel[1] in SEA in templateXValue[idxmin(Y)] and this templateYLabel[0] is expected to grow to templateYValue[idxmax(X)] templateScale by the end of templateXValue[idxmax(Y)] .
This statistic shows the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateYLabel[0] templateYLabel[1] in templateXValue[min] , and a forecast for templateXValue[max] . In templateXValue[min] , the templateTitle[1] templateTitle[2] templateYLabel[0] was valued at templateYValue[idxmin(X)] templateScale templateYLabel[3] templateYLabel[4] . templateTitle[1] templateTitle[2] is a type of inflammatory bowel disease ( IBD ) which is characterized by the formation of ulcers in the colon .
This statistic shows the total templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitleSubject[0] in templateTitleDate[0] , by templateXLabel[0] . In templateTitleDate[0] , templateYValue[max] templateScale of the templateYLabel[1] templateYLabel[2] was templateXValue[0] in templateTitleSubject[0] .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] at motorways and templateTitle[1] in templateTitleSubject[0] in templateTitleDate[0] , templateTitle[4] templateXLabel[0] . The templateXValue[0] ( UK ) has the highest templateYLabel[0] of templateYLabel[1] templateYLabel[2] in templateTitleDate[0] , with templateYValue[max] templateYLabel[1] templateYLabel[2] .
The statistic depicts the templateYLabel[0] templateYLabel[1] of templateTitle[0] templateTitle[1] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . The templateYLabel[0] templateYLabel[1] of templateTitle[0] templateTitle[1] templateTitleSubject[0] amounted to templateYValue[0] templateYValue[idxmax(X)] templateYLabel[3] templateYLabel[4] in templateXValue[max] .
This statistic shows the templateYLabel[0] of templateTitle[0] templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[idxmax(X)] templateTitle[0] templateYLabel[1] members in templateTitleSubject[0] . In the same templateXLabel[0] , there were around templateYValue[5] thousand templateYLabel[1] templateYLabel[2] .
This statistic shows the templateTitle[0] templateTitle[1] in templateTitleSubject[0] as of templateTitleDate[0] . That year , templateXValue[0] had the highest templateTitle[0] templateTitle[1] in templateTitleSubject[0] with templateYValue[max] templateScale templateYLabel[0] .
This statistic shows the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] had amounted to about templateYValue[6] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic shows the templateYLabel[0] of templateTitle[2] templateYLabel[1] at templateTitle[3] establishments in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of templateYLabel[1] in travel templateTitle[3] ( including both international and domestic tourists ) amounted to approximately templateYValue[idxmax(X)] templateScale .
This statistic shows the total templateYLabel[0] of templateYLabel[1] that templateTitle[2] templateTitle[3] in the templateTitle[4] from templateTitleDate[min] to templateTitleDate[max] . In templateTitleDate[max] , there were around templateYValue[max] templateScale templateYLabel[1] in the templateTitle[4] .
The statistic shows the distribution of templateTitle[0] in templateTitleSubject[0] and the templateTitleSubject[1] templateTitle[1] templateTitle[2] templateTitle[3] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , approximately templateValue[1][0] templateScale of the employees in templateTitleSubject[0] and the templateTitleSubject[1] were working in the agricultural templateTitle[3] , templateValue[2][0] templateScale in templateLabel[2][0] and about templateValue[3][0] templateScale in the service templateTitle[3] .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at around templateYValue[6] templateScale .
This statistic shows the templateYLabel[0] of templateTitleSubject[1] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of templateTitleSubject[1] templateYLabel[1] in templateTitleSubject[0] is expected to reach templateYValue[idxmax(X)] templateScale , up from templateYValue[5] templateScale in templateXValue[5] .
The statistic shows the templateTitleSubject[0] templateTitle[1] templateTitle[2] with the highest templateTitle[4] templateTitle[5] templateTitle[6] templateTitle[7] templateTitle[8] from templateTitleDate[min] to templateTitleDate[max] . In templateTitleDate[max] , templateValue[0][0] was the templateTitle[4] templateTitle[5] templateTitle[6] templateTitle[7] templateTitle[8] .
templateTitle[2] is the most popular team sport in templateTitleSubject[0] across the board . Of templateTitle[0] aged 5 to 10 , roughly templateValue[1][0] templateScale play templateTitle[2] at least on a monthly basis , which is only surpassed by swimming . At age 11 to 15 templateTitle[2] becomes even more popular with approximately 44 templateScale in this age group playing .
This statistic shows the templateYLabel[0] of the templateTitle[0] templateTitle[1] conditioner/creme rinse templateTitle[3] in the templateTitle[4] in templateTitleDate[0] . In that year , the templateTitle[0] templateTitle[1] templateTitle[2] templateXLabel[0] of the templateTitle[4] was OGX with templateYLabel[0] that amounted to approximately templateYValue[max] templateScale templateYLabel[3] .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at approximately templateYValue[idxmax(X)] templateScale .
As of 2020 , templateXValue[0] had the most templateYLabel[2] templateYLabel[3] in the templateTitle[2] , with templateYValue[max] templateYLabel[0] templateYLabel[3] since templateTitleDate[min] . The source defines a templateYLabel[2] shooting as a shooting where templateYValue[7] or more people were killed . Firearms in the templateTitleSubject[0] templateYLabel[2] templateYLabel[3] in the templateTitle[2] are disturbingly common .
This statistic shows a timeline with the global templateYLabel[0] of monthly active templateTitle[0] Digital Entertainment templateYLabel[1] as of the third templateXLabel[0] of templateTitleDate[max] . In the third templateXLabel[0] of templateTitleDate[max] , templateYValue[0] templateScale people accessed the mobile gaming company 's apps per month . Popular titles include Candy Crush Saga , Farm Ville Saga as well as Bubble Witch Saga , all of which are monetized through in-game purchases .
In 2019 , the templateTitle[0] templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] fluctuated amounted to templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] . The templateYLabel[0] templateYLabel[1] of the templateTitle[2] The templateTitle[3] templateTitle[4] was forecasted to templatePositiveTrend in recent years . In 2019 , the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] ( templateTitleSubject[1] ) is estimated to reach approximately templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] .
The statistic shows the distribution of templateTitle[0] in templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , templateValue[1][0] templateScale of the employees in templateTitleSubject[0] were active in the agricultural templateTitle[3] , templateValue[2][0] templateScale in templateLabel[2][0] and templateValue[3][0] templateScale in the service templateTitle[3] .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . The templateYLabel[0] templateYLabel[1] has declined in this time period from templateYValue[max] children per woman in templateXValue[8] to templateYValue[idxmax(X)] in templateXValue[idxmin(Y)] .
This statistic shows the templateYLabel[0] of templateTitle[1] templateYLabel[1] in templateTitleSubject[0] and templateTitle[4] , Canada , from templateTitleDate[min] to templateXValue[max] . In 2018 - templateTitleDate[max] , there were templateYValue[max] new templateYLabel[1] to templateTitleSubject[0] and templateTitle[4] .
According to a templateTitleDate[0] Statista survey , templateYValue[max] templateScale of the templateTitle[6] templateYLabel[1] use their templateTitle[1] to templateXValue[0] to templateXValue[0] . templateXValue[last] common uses of templateTitle[1] included templateXValue[1] or templateXValue[1] and listening to the templateXValue[2] . Headphone Market The retail value of global headphone shipments was forecast to reach 26.1 templateScale templateTitle[6] dollars in 2019 , a more than threefold templatePositiveTrend in templateYValue[min] years .
This statistic shows the templateTitle[0] templateTitle[1] in templateTitleSubject[0] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , about templateValue[1][min] templateScale of templateTitleSubject[0] 's total population were aged 0 to 14 templateLabel[1][1] .
How many paid templateYLabel[1] does templateTitleSubject[0] have ? As of the fourth templateXLabel[0] of templateTitleDate[max] , templateTitleSubject[0] had templateYValue[max] templateScale templateTitle[2] templateYLabel[1] worldwide , up from templateYValue[4] templateScale in the corresponding templateXLabel[0] of 2018 . templateTitleSubject[0] templateTitle[1] subscriber base has templatePositiveTrend dramatically in the last few years , more than doubling in just three years . templateTitleSubject[0] and competitors templateTitleSubject[0] is a music streaming service originally founded in 2006 in Sweden .
This graph shows the templateTitle[1] templateTitle[2] and non-negligent templateTitle[4] templateYLabel[0] in the country from templateTitleDate[min] to templateTitleDate[max] . In templateTitleDate[max] , the nationwide templateYLabel[0] was templateYValue[0] cases templateYLabel[1] 100,000 of the templateYLabel[3] .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] of templateTitleSubject[0] worldwide in templateTitleDate[0] , templateTitle[5] templateXLabel[0] templateXLabel[1] . In that year , templateYValue[max] templateScale of templateTitleSubject[0] 's templateTitle[1] templateYLabel[1] templateYLabel[2] came from templateXValue[0] . Founded in 1961 in Agordo , Italy , the templateTitleSubject[0] Group S.p.A. is the templateXValue[last] 's largest eyewear company .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] of templateTitle[3] templateTitle[4] in the templateTitleSubject[0] from templateValue[0][last] to templateValue[0][0] , templateTitle[8] templateTitle[9] . In templateValue[0][0] , one templateTitle[2] of templateTitle[3] templateTitle[4] in templateLabel[1][0] was worth templateValue[1][7] templateTitleSubject[0] dollars . In 2024 , the global templateTitle[0] for one pound of templateTitle[3] is expected to reach approximately 0.22 templateTitleSubject[0] dollars .
This statistic shows the templateYLabel[0] of refugees admitted to the templateTitleSubject[0] from the fiscal templateXLabel[0] of templateTitleDate[min] to the fiscal templateXLabel[0] of templateTitleDate[max] . During the fiscal templateXLabel[0] of templateTitleDate[max] , templateYValue[0] refugees were admitted to the templateTitle[2] .
This statistic shows the templateTitleSubject[0] all-time templateYLabel[1] templateTitle[4] , as of October 14 , templateTitleDate[0] . templateXValue[0] has the most templateYLabel[1] in templateTitleSubject[0] templateTitle[1] franchise history with templateYValue[max] templateYLabel[1] .
The statistic shows the most popular templateTitle[3] templateTitle[4] in the templateTitleSubject[0] store ranked templateTitle[7] number of downloads . In the fourth templateLabel[0][0] of templateTitleDate[max] , templateLabel[5][0] apps were the fifth-most popular category with templateValue[5][last] templateScale downloads during the measured period . Gaming apps were ranked first with 8.59 templateScale templateTitle[3] downloads .
The timeline shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[5] in the templateTitle[0] from templateXValue[min] to templateXValue[max] . According to the report , the templateTitleSubject[0] templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[5] amounted to approximately templateYValue[idxmax(X)] templateYLabel[3] in templateXValue[max] .
This statistic shows the templateYLabel[0] of templateXValue[0] in the templateTitle[1] in templateTitleDate[0] , templateTitle[3] templateXLabel[1] . In templateTitleDate[0] , about templateYValue[max] templateScale templateXValue[0] were counted in the templateTitle[1] .
This statistic shows the raw templateYLabel[0] templateYLabel[1] of the templateTitle[0] templateTitle[1] in the templateTitleSubject[0] ( templateTitleSubject[1] ) from templateXValue[min] to templateXValue[max] . Over this period the total templateYLabel[0] of businesses within the templateTitleSubject[1] templateTitle[0] templateTitle[1] has grown steadily , reaching over templateYValue[max] templateScale British pounds in templateXValue[idxmax(Y)] .
This statistic shows the templateYLabel[0] of refugees admitted to the templateTitleSubject[0] from the fiscal templateXLabel[0] of templateTitleDate[min] to the fiscal templateXLabel[0] of templateTitleDate[max] . During the fiscal templateXLabel[0] of templateTitleDate[max] , templateYValue[0] refugees were admitted to the templateTitle[2] .
This statistic shows the templateTitle[1] templateYLabel[0] of nurse templateTitle[2] in templateTitle[3] templateTitle[4] in Canada , sorted templateTitle[5] templateTitle[6] , in templateTitleDate[0] . In templateXValue[0] , around templateYValue[max] templateYLabel[1] were part of the templateTitle[3] templateTitle[4] templateTitle[2] , while in templateXValue[1] there were almost 72,000 templateYLabel[1] .
The statistic depicts the templateTitle[0] of the surveyed respondents that follow templateTitleSubject[0] Baseball . templateYValue[max] templateScale of the templateXValue[0] respondents said that they do follow templateTitleSubject[0] Baseball .
The statistic shows the distribution of templateTitle[0] in templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , templateValue[1][0] templateScale of the employees in templateTitleSubject[0] were active in the agricultural templateTitle[3] , templateValue[2][0] templateScale in templateLabel[2][0] and templateValue[3][0] templateScale in the service templateTitle[3] .
This statistic shows the templateTitleSubject[0] templateYLabel[0] of pumpkins from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[3] templateYLabel[0] of templateYLabel[1] templateYLabel[2] amounted to templateYValue[idxmax(X)] templateScale . The templateTitleSubject[0] production of templateTitle[3] amounted to about 114.73 templateScale templateYLabel[4] in templateXValue[max] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] in templateTitle[3] templateTitle[4] templateTitle[5] ( GDP ) in the templateTitle[7] templateTitle[8] templateValue[0][last] to templateValue[0][0] , templateTitle[7] templateTitle[8] templateTitle[9] . In templateValue[0][0] , templateValue[1][last] templateScale of templateTitle[5] templateTitle[6] participated in templateLabel[1][3] , templateLabel[1][1] and templateLabel[1][2] templateLabel[1][3] in the templateTitle[7] .
The statistic shows the templateYLabel[0] of the templateTitleSubject[0] between templateXValue[min] and templateXValue[6] , with projections up until templateXValue[max] , in US dollars.Private-sector-led economic recovery templateYLabel[0] is counted among the primary indicators that are used to gauge the state of health of a national economy . templateYLabel[0] is the total value of all completed goods and services that have been produced within a country in a given period of time , usually a templateXLabel[0] . templateYLabel[0] figures allow us to gain a broader understanding of a country 's economy in a clear way .
The statistic shows the templateYLabel[1] in real templateYLabel[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , templateTitleSubject[0] 's real templateTitle[0] templateTitle[1] templateTitle[2] templatePositiveTrend by around templateYValue[6] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
The statistic shows the templateYLabel[1] in real templateYLabel[0] in templateTitleSubject[0] from between templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , templateTitleSubject[0] 's real templateTitle[0] templateTitle[1] templateTitle[2] templatePositiveTrend by around templateYValue[6] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic depicts the templateTitleSubject[0] annual templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[6] templateXValue[min] through templateXValue[max] . In templateXValue[7] , the templateTitleSubject[0] templateYLabel[0] templateTitle[2] templateTitle[3] templateTitle[4] stood at templateYValue[7] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] templateYLabel[5] templateYLabel[6] .
The statistic shows the templateYLabel[0] of the templateTitle[3] templateTitle[4] templateTitle[5] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , the templateYLabel[0] of the templateYLabel[1] templateYLabel[2] templateTitle[3] templateTitle[4] templateTitle[5] in templateTitleSubject[0] was templateYValue[min] templateScale templateYLabel[2] templateYLabel[3] .
The statistic shows the templateYLabel[2] generated in the global templateYLabel[0] templateYLabel[1] from templateXValue[last] to templateXValue[0] . The templateXValue[0] templateTitleSubject[0] templateYLabel[0] templateYLabel[1] is expected to grow by templateYValue[idxmax(X)] templateScale from the previous templateXLabel[0] .
In the fiscal templateXLabel[0] of templateXValue[max] , templateTitleSubject[0] transported passengers on a total of over 131.3 templateScale British pounds . The low-cost carrier had a capacity of 157.2 templateScale available seat templateTitle[2] in that same templateXLabel[0] , and as such was efficient in using its fleet to transport paying customers . Flying with templateTitleSubject[0] ' main hub , Las Vegas McCarran International Airport , saw a traffic of 17.5 templateScale templateTitleSubject[0] passengers in templateXValue[1] .
This survey attempts to explain the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitleSubject[0] templateTitle[6] in templateTitleDate[min] and templateTitleDate[max] . The survey revealed that templateValue[1][1] templateScale of the respondents expect to purchase clothing for the upcoming templateValue[0][0] year .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] ( templateYLabel[0] ) templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[7] , with projections up until templateXValue[max] . In templateXValue[6] , the templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] was around templateYValue[7] templateYLabel[3] templateYLabel[4] . templateTitleSubject[0] 's economy templateYLabel[0] templateYLabel[1] templateYLabel[2] is a measurement often used to determine economic growth and potential increases in productivity and is calculated by taking the templateYLabel[0] and dividing it by the total population in the country .
This statistic shows the templateTitle[0] of first templateTitle[2] and business templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the templateTitle[6] from templateValue[0][0] to templateValue[0][last] . During the survey in templateValue[0][3] , templateValue[1][max] templateScale of respondents said templateLabel[1][0] templateScale or templateLabel[1][1] of templateTitle[3] templateLabel[1][2] were in first or business templateTitle[2] .
This statistic shows the results of a templateTitleDate[0] survey among adult Cubans living in templateTitleSubject[0] on their opinion of templateTitle[1] templateTitle[2] , their former President . templateYValue[max] templateScale of templateYLabel[1] stated they have a very or somewhat templateXValue[1] opinion of templateTitle[1] templateTitle[2] .
The statistic shows the templateYLabel[1] templateYLabel[2] of templateTitleSubject[0] 's real templateYLabel[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , templateYLabel[0] in templateTitleSubject[0] templatePositiveTrend by about templateYValue[6] templateScale on the templateYLabel[4] year.The recession-proof land down under templateYLabel[0] is one of the primary indicators used to gauge the state and health of a country 's economy . It is the total market value of all final goods and services that have been produced within a country in a given period of time , usually a templateXLabel[0] .
This statistic shows the templateYLabel[0] of Scottish templateYLabel[1] templateTitle[3] the rest of the United Kingdom templateTitle[3] templateXValue[min] to templateXValue[max] . With the exception of templateXValue[17] , templateXValue[8] and templateXValue[4] , the templateYLabel[0] of templateTitleSubject[1] templateYLabel[1] has templatePositiveTrend templateTitle[3] templateYValue[idxmin(X)] templateScale in templateXValue[idxmin(Y)] to approximately templateYValue[max] templateScale by templateXValue[idxmax(Y)] .
In templateValue[0][0] , templateLabel[1][0] contributed around templateValue[1][0] templateScale to the templateTitle[4] of templateTitleSubject[0] , templateValue[2][0] templateScale came from templateLabel[2][0] , and templateValue[3][0] templateScale from the templateLabel[3][0] sector . The same templateLabel[0][0] , the Australian inflation rate , another important key indicator for its templateTitle[6] situation , amounted to 1.96 templateScale . Why is the inflation rate important ? Inflation is the steady templatePositiveTrend in price levels for consumer goods and templateLabel[3][0] during a certain timespan .
The timeline shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[5] templateTitle[6] in the templateTitle[0] from templateXValue[min] to templateXValue[max] . According to the report , the templateTitleSubject[0] templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[5] templateTitle[6] amounted to about templateYValue[max] templateYLabel[3] in templateXValue[idxmax(Y)] .
This statistic presents the templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateYLabel[3] ( templateTitle[1] ) templateYLabel[4] one hundred thousand templateYLabel[7] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were approximately 66.45 templateTitle[1] templateYLabel[4] hundred thousand templateYLabel[7] in templateTitleSubject[0] .
This graph depicts the templateYLabel[0] templateYLabel[1] templateYLabel[2] for templateTitleSubject[0] games of the National Basketball Association from templateXValue[last] to templateXValue[0] . In the templateXValue[last] season , the templateYLabel[0] templateYLabel[1] templateYLabel[2] was templateYValue[max] templateYLabel[3] templateYLabel[4] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateValue[5][0] to 24 templateLabel[0][0] olds in the templateTitle[7] templateTitle[8] templateValue[0][last] to templateValue[0][0] , by participation rate . In templateValue[0][0] , templateValue[1][last] templateScale of templateTitle[5] templateTitle[6] participated in templateLabel[1][3] , templateLabel[1][1] and templateLabel[1][2] templateLabel[1][3] in the templateTitle[7] .
This statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of the templateTitleSubject[0] templateTitle[3] templateTitle[4] templateTitle[5] from templateXValue[min] to templateXValue[max] . Until templateXValue[20] , the templateTitle[5] did not reach a templateYLabel[3] better than templateYValue[20] . Rank templateYValue[max] was the lowest result of the templateTitle[5] , which was reached in templateXValue[idxmax(Y)] .
The statistic depicts the templateTitleSubject[0] templateTitle[1] the highest templateYLabel[0] templateTitle[4] templateYLabel[2] during the first quarter of templateTitleDate[0] , measured in Megabits per second . During that quarter , IPv4 templateTitle[4] connections in templateXValue[1] averaged a templateYLabel[1] templateYLabel[2] of templateYValue[1] templateYLabel[3] . The global templateYLabel[0] templateTitle[4] connetcion templateYLabel[2] was 7.2 Mbps.Average templateTitle[4] speeds are higher in developed Asian templateTitleSubject[0] ; templateXValue[0] leads templateTitle[1] an templateYLabel[0] templateTitle[4] templateYLabel[2] of templateYValue[max] templateYLabel[3] more than 10 templateYLabel[3] higher than templateXValue[7] .
The statistic depicts templateTitle[1] templateTitle[2] templateYLabel[0] templateYLabel[1] in the templateTitle[0] between templateXValue[min] and templateXValue[max] . Here , the templateYLabel[1] of templateYLabel[0] derived from templateTitle[1] fuels came to approximately templateYValue[0] templateYLabel[2] British thermal units in templateXValue[max] . templateTitle[1] templateTitle[2] energies – additional informationFossil fuels are hydrocarbon-containing natural resources formed from the remains of dead plants or animals that have been subject to immense pressure from a buildup of layers over templateScale of years .
The statistic shows the templateXLabel[0] templateTitle[1] programs with the most templateYLabel[1] in the templateTitleSubject[0] templateTitle[1] templateYLabel[0] ( Madness , Big Dance ) . The templateTitle[1] team of templateXValue[3] has participated templateYValue[2] times in the templateYLabel[0] up to templateTitleDate[max] .
This statistic shows the templateYLabel[0] of templateYLabel[1] in templateTitle[1] in the templateTitle[2] templateTitle[3] templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of templateYLabel[1] ( aged six years and older ) in templateTitle[1] amounted to approximately templateYValue[idxmax(X)] templateScale .
The statistic presents the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in the templateTitleSubject[0] from templateTitleDate[min] to 2019 , templateTitle[8] National templateTitle[2] Insurance Program templateTitle[9] . The templateTitle[9] of the National templateTitle[2] Insurance Program as a consequence of damage caused templateTitle[8] floods following templateXValue[0] templateXValue[1] in 2017 , amounted to almost templateYValue[1] templateScale templateYLabel[3] templateYLabel[4] .
This graph depicts the templateYLabel[0] templateTitle[1] templateTitle[2] templateTitle[3] templateYLabel[1] of the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] at templateTitle[3] games of the templateTitleSubject[0] was templateYValue[0] templateYValue[idxmax(X)] templateTitleSubject[0] average templateTitle[3] templateYLabel[1] - additional information The templateTitleSubject[0] ' templateYLabel[0] templateTitle[1] templateTitle[2] templateTitle[3] templateYLabel[1] has remained relatively constant in recent years , with the templateYLabel[0] in the templateXValue[max] templateTitle[2] standing at templateYValue[idxmax(X)] .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] against ships templateTitle[3] from templateXValue[min] through templateXValue[max] . There were templateYValue[idxmax(X)] such incidents in templateXValue[idxmin(Y)] . templateYLabel[1] templateYLabel[2] Although the term `` templateYLabel[1] '' may conjure up images of bearded men with eye patches , wooden legs and parrots who were convicted and buried centuries ago , templateYLabel[1] templateYLabel[2] are indeed posing a threat to today 's shipping lines all over the world .
A 2017 survey of templateTitleSubject[0] adults found that approximately templateYValue[max] templateScale of American templateXValue[0] and templateYValue[min] templateScale of American templateXValue[last] currently smoke templateTitle[4] . Impact of Legalizing Cannabis in the templateTitle[0] . Since Washington and Colorado legalized recreational templateTitle[4] in 2012 , several more states have followed suit .
The statistic shows the templateTitleSubject[0] 's templateYLabel[0] of the templateYLabel[1] templateTitle[5] templateTitle[6] templateTitle[7] ( templateYLabel[2] ) adjusted for Purchasing Power Parity ( PPP ) from templateXValue[min] to templateXValue[max] . In templateXValue[6] , the templateTitleSubject[0] 's templateYLabel[0] of templateYLabel[1] templateYLabel[2] ( in relation to PPP dollars ) amounted to about templateYValue[6] templateScale .
This statistic shows the results of a survey asking individuals in the templateTitleSubject[1] how much they think the unit templateXLabel[0] is to have a templateTitle[1] templateTitle[2] on the NHS in templateTitleDate[0] . The average templateXLabel[0] of a templateTitle[1] templateTitle[2] is estimated to be 12,279 templateXLabel[1] templateXLabel[2] . The majority of templateYLabel[1] , 64 templateScale , predicted the templateXLabel[0] to be templateXValue[0] ten thousand templateXLabel[1] templateXLabel[2] .
This graph shows the templateXValue[0] templateYLabel[1] templateYLabel[2] to the Gross Domestic Product ( templateTitle[1] ) of templateTitleSubject[0] in templateTitleDate[0] , templateTitle[4] templateXLabel[0] . In templateTitleDate[0] , the templateXValue[10] templateXLabel[0] templateYLabel[2] templateYValue[10] templateScale templateYLabel[4] 2012 templateYLabel[6] templateYLabel[7] of templateYLabel[1] to the state templateTitle[1] .
The statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . The amount of the templateYLabel[1] of the templateTitleSubject[0] amounted to around templateYValue[6] templateScale templateYLabel[3] templateYLabel[4] in templateXValue[6] . templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] National templateYLabel[1] in the templateTitleSubject[0] is a topic of much debate and controversy , primarily due to large amounts of unnecessary spending .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in templateTitle[3] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[idxmax(X)] templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] . Gambling in templateTitleSubject[0] - additional information The templateYLabel[0] of templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] templatePositiveTrend by more than 2,000 between 2007 and templateXValue[1] .
This statistic shows the templateTitle[1] templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . For instance , templateYValue[idxmax(X)] templateScale of templateTitleSubject[0] 's templateYLabel[1] lived below the templateTitle[1] line in templateXValue[max] .
This statistic shows the consumer templateTitle[1] on templateTitle[0] templateTitle[7] product templateTitle[8] in the templateTitleSubject[0] ( templateTitleSubject[1] ) from templateValue[0][0] to templateValue[0][2] , with a forecast estimate for templateValue[0][last] . In each templateLabel[0][0] during this period , templateTitle[1] on templateTitle[0] templateLabel[1][0] was the highest across the various categories , at an estimated templateValue[1][last] templateScale British pounds in templateValue[0][last] . In comparison , templateLabel[2][0] templateTitle[1] was estimated at templateValue[2][last] templateScale pounds that same templateLabel[0][0] , while templateTitle[1] on templateLabel[3][0] and templateLabel[4][0] was forecast to reach templateValue[3][last] templateScale pounds and templateValue[4][last] templateScale pounds , respectively .
This statistic shows the templateTitleSubject[0] templateYLabel[1] templateTitle[1] templateTitle[2] the templateTitle[3] templateYLabel[2] in templateYLabel[1] templateTitle[6] as of 2016 . templateTitleSubject[0] templateYLabel[1] to templateXValue[0] templatePositiveTrend by templateYValue[max] templateScale in templateTitleDate[0] compared templateTitle[2] the previous year . In 2017 , the Caribbean was the leading international destination for a spring vacation according to U.S. respondents .
This statistic shows the templateYLabel[0] of templateYLabel[1] in templateTitleSubject[0] in templateTitleDate[0] , templateTitle[3] templateXLabel[0] . In templateTitleDate[0] , the templateTitle[0] templateYLabel[0] of templateYLabel[1] in templateTitleSubject[0] was templateXValue[0] , making it templateXValue[last] and templateXValue[last] in templateXValue[0] .
This statistic displays the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateTitleDate[min] to templateTitleDate[max] . In templateTitleDate[max] , templateYLabel[0] in templateTitleSubject[0] was templateYValue[0] templateScale .
This statistic shows the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to about templateYValue[6] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic shows the templateTitleSubject[0] of templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] as of October templateTitleDate[0] , by templateLabel[0][0] . During the survey , templateValue[1][1] templateScale of respondents from the templateValue[0][1] said that official templateTitle[1] classifications or star ratings were templateLabel[1][0] templateLabel[1][1] templateTitle[3] templateTitle[4] a templateTitle[1] .
The statistic shows the templateTitle[0] templateTitle[1] ( templateYLabel[0] ) of the templateTitleSubject[0] templateTitle[4] club of Major League Soccer by templateTitle[0] in templateTitleDate[0] . templateXValue[0] received a salary of templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] .
In templateXValue[max] , nearly 118,000 babies were born in templateTitleSubject[0] . This was the lowest templateYLabel[0] of templateYLabel[1] in the last decade . The templateYLabel[0] of children born in the country peaked in templateXValue[8] , at just over 129,000 .
This statistic shows the templateTitle[0] templateYLabel[0] of templateTitle[2] templateYLabel[1] in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , approximately 169,000 babies were born alive in the templateTitleSubject[0] . In the same period , the templateYLabel[0] of stillborn children in the templateTitleSubject[0] templateNegativeTrend , as can be seen in this statistic .
This statistic shows the templateTitle[0] of the templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] in templateTitleSubject[0] America in templateTitleDate[min] and templateLabel[2][0] with a forecast for templateTitleDate[max] , templateTitle[9] templateLabel[0][0] , in templateScale templateValue[0][2] dollars . In templateLabel[2][0] , the templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] in the templateValue[0][2] was valued at around templateValue[2][max] templateScale dollars and was expected to grow to almost templateValue[3][max] templateScale dollars templateTitle[9] the year templateTitleDate[max] .
This statistic gives information on the templateTitle[1] templateTitle[2] of templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] as of October templateTitleDate[0] . During this period of time , templateYValue[min] templateScale of Indian templateYLabel[1] templateYLabel[2] were templateXValue[0] . The majority of templateYLabel[1] templateYLabel[2] were templateXValue[last] .
This statistic shows the templateValue[0][0] of templateTitle[3] in the United Kingdom ( templateTitleSubject[0] ) templateValue[0][0] on 31 , templateTitleDate[0] , templateTitle[5] templateTitle[6] templateValue[0][0] and templateTitle[8] . As of this date , there were templateLabel[7][2] templateValue[5][max] thousand adminstrative templateValue[0][2] and templateValue[0][4] that were aged between templateValue[1][last] and 59 .
The statistic depicts the templateYLabel[0] templateTitle[1] templateTitle[2] templateYLabel[1] at games of the templateTitleSubject[0] templateTitle[5] templateTitle[6] from the templateXValue[last] season to the templateXValue[0] season . In templateXValue[0] , the templateYLabel[0] templateYLabel[1] at the games was at templateYValue[0] .
The statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at around templateYValue[6] templateScale . See the figures for the population of templateTitleSubject[0] for comparison .
This statistic shows the templateTitle[0] templateTitle[1] in templateTitleSubject[0] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , about templateValue[1][min] templateScale of templateTitleSubject[0] 's total population were aged 0 to 14 templateLabel[1][1] .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[0] templateTitle[1] in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of templateTitle[0] templateTitle[1] was approximately templateYValue[idxmax(X)] templateScale templateYLabel[3] dollars . templateTitle[0] templateTitle[1] is a chain of discount variety stores that operates in 44 templateYLabel[3] states .
This statistic depicts the templateScale of templateTitle[1] templateYLabel[1] in the templateTitle[3] in templateTitleDate[0] , templateTitle[4] templateXLabel[1] . In templateTitleDate[0] , templateYValue[max] templateScale of templateTitle[1] templateYLabel[1] in the templateTitle[3] were templateYLabel[1] .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateTitle[5] templateTitle[6] templateTitle[7] in the templateTitle[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , about templateYValue[idxmax(X)] templateYLabel[1] in the templateTitleSubject[0] were templateTitle[5] to be adopted .
The statistic depicts the templateYLabel[0] of the templateTitleSubject[0] , a franchise of the National Football League , from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of the templateTitleSubject[0] was templateYValue[max] templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] of templateTitle[3] templateValue[0][2] care templateValue[0][5] to templateLabel[1][0] and templateLabel[2][0] consumers in the templateTitleSubject[0] , according to a survey conducted in 2013 . templateValue[0][2] moisturising and hydrating templateTitle[2] were considered the templateTitle[0] templateTitle[1] templateTitle[2] templateValue[0][2] both genders , with templateValue[2][0] templateScale of women stating this as templateTitle[1] . The templateValue[0][3] moisturiser market takes up the largest proportion of the templateTitle[3] templateValue[0][2] care market with a share of 41.6 templateScale in templateTitleDate[0] .
This statistic shows the templateTitle[0] templateTitle[1] templateYLabel[0] for Brazil templateXLabel[1] templateXLabel[2] templateXLabel[3] to templateXLabel[2] templateXLabel[5] . The templateYLabel[0] is based on a survey of approximately 2,500 companies . Figures above templateYValue[11] represent an optimistic outlook , while figures below templateYValue[11] show a pessimistic templateTitle[0] templateTitle[1] .
The statistic shows the templateYLabel[0] of the templateTitleSubject[0] Warriors franchise from the 2001/02 season to the fiscal templateXLabel[0] of templateXValue[0] . In the last season , the templateYLabel[0] of the templateTitleSubject[0] Warriors was templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] .
The statistic shows the degree of templateTitle[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . templateTitle[0] is measured as the proportion of templateYLabel[1] templateYLabel[2] in the total templateYLabel[2] . In templateXValue[max] , around templateYValue[idxmax(X)] templateScale of the Mexican templateYLabel[2] lived in templateYLabel[1] areas .
This graph depicts the templateYLabel[0] templateTitle[0] templateTitle[1] home templateYLabel[1] of the templateTitleSubject[0] Dodgers from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateTitle[0] templateTitle[1] home templateYLabel[1] of the templateTitleSubject[0] Dodgers was templateYValue[max] templateYValue[idxmax(X)] • templateTitleSubject[0] Dodgers total home templateYLabel[1] • Major League Baseball templateYLabel[0] per game templateYLabel[1] • Major League Baseball total templateYLabel[1]
This statistic depicts the templateYLabel[0] templateYLabel[1] of the templateTitle[0] templateTitle[1] templateTitle[2] in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of the templateTitle[0] templateTitle[1] templateTitle[2] amounted to approximately templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] .
This statistic shows the results of a templateTitle[0] among adult Americans who have one or more templateTitle[2] . The templateTitle[0] was conducted in templateTitleDate[0] , asking the templateYLabel[1] whether they ever regret getting any of their templateTitle[2] , or not . templateYValue[max] templateScale of templateYLabel[1] stated they do not regret getting any of their templateTitle[2] .
This statistic shows the templateYLabel[0] of templateTitleSubject[0] U.S. templateYLabel[1] templateYLabel[2] templateTitle[6] templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[idxmax(X)] templateTitleSubject[0] Navy members in the templateTitle[2] Department of Defense . In templateXValue[14] , there were templateYValue[14] templateTitleSubject[0] members .
The statistic shows the templateTitle[0] of the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in templateTitleSubject[0] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , templateValue[1][0] templateScale of the templateTitle[1] were employed in templateLabel[1][0] , templateValue[2][0] templateScale in templateLabel[2][0] and templateValue[3][0] templateScale in templateLabel[3][0] . templateTitle[0] of templateTitle[1] in templateTitleSubject[0] – additional information In templateValue[0][6] , templateTitleSubject[0] was the largest exporting country worldwide with an export value of about two templateScale U.S. dollars .
This statistic shows the templateTitle[0] of templateTitle[1] and templateTitle[2] templateTitle[3] in the templateTitle[4] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][last] , there were around 9,172,000 templateTitle[2] templateTitle[3] ( including templateTitle[3] and heifers that have calved ) in the templateTitle[4] .
