In templateXValue[max] , the templateTitle[1] templateYLabel[0] of templateTitle[3] templateTitle[4] in templateTitleSubject[0] amounted to about templateYValue[idxmax(X)] templateYLabel[1] templateYLabel[2] templateYLabel[3] , all types included . The templateTitle[0] realized templateYLabel[0] of templateTitle[3] templateTitle[4] remained fairly steady throughout the years until templateXValue[3] , when it templateNegativeTrend to below templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] . templateTitle[3] templateTitle[4] The templateTitle[0] templateYLabel[0] serves as an indicator for a variety of different selling prices on the templateTitle[4] market , gathering all templateYLabel[0] ranges of templateTitle[3] wines purchased in templateTitleSubject[0] .
The statistic shows the templateYLabel[0] of the templateTitleSubject[0] franchise from the 2001/02 season to the 2018/19 season . In 2018/19 , the estimated templateYLabel[0] of the National Basketball Association franchise amounted to templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] . templateTitleSubject[0] The templateTitleSubject[0] are a professional basketball team of the National Basketball Association ( NBA ) , entering the league as an expansion team in 1968 .
This statistic shows the templateTitle[1] templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[idxmax(X)] templateScale of templateTitleSubject[0] ' templateYLabel[1] lived below the templateTitle[1] line .
This statistic shows the templateScale of conceptions of under 16 girls templateYLabel[2] in templateYLabel[3] in templateTitleSubject[0] and templateTitleSubject[1] from templateXValue[min] to templateXValue[max] . The templateYLabel[0] of terminated templateYLabel[1] in this age group has remained around the same amount over the provided time period . In templateXValue[max] , approximately templateYValue[idxmax(X)] templateScale of the templateYLabel[1] led to templateYLabel[3] .
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 templateYLabel[0] templateYLabel[1] for templateTitleSubject[0] aged templateTitle[4] templateYLabel[2] in the templateTitleSubject[0] has gradually templatePositiveTrend since the 1960s . Now templateTitleSubject[0] in the templateTitle[6] aged templateTitle[4] can expect to live templateYValue[22] more templateYLabel[2] on average . Women aged templateTitle[4] templateYLabel[2] can expect to live around 20.6 more templateYLabel[2] on average .
This statistic presents the templateYLabel[0] of templateTitleSubject[0] of templateTitleSubject[0] ( LoL ) monthly active templateYLabel[2] worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[max] , LoL had templateYValue[idxmax(X)] templateScale templateTitleSubject[0] , up from templateYValue[1] templateScale in templateXValue[1] . Being one of the most prominent eSports games , in templateXValue[1] LoL championship finals attracted 36 templateScale viewers worldwide .
This statistic presents the annual templateTitle[2] templateYLabel[1] of mobile messaging platform templateTitleSubject[0] . In templateXValue[max] , the chat app had generated 1.03 templateScale templateYLabel[3] templateYLabel[4] in templateTitle[2] losses , a slight improvement from 1.56 templateScale templateYLabel[3] templateYLabel[4] in losses in the preceding templateXLabel[0] .
This statistic presents the templateTitle[3] templateTitle[4] of templateTitle[0] and templateTitle[1] to templateTitle[5] in templateTitleSubject[0] from templateXValue[min] to templateXValue[1] , with a forecast for templateXValue[max] . Over this period , the templateTitle[4] of the templateTitle[0] and templateTitle[1] industry to templateTitle[5] in templateTitleSubject[0] has templatePositiveTrend , reaching templateYValue[2] templateScale templateYLabel[2] in templateXValue[2] .
This statistic gives information on the templateYLabel[3] templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[0] templateScale of the Chilean population accessed the templateYLabel[3] , up from templateYValue[16] templateScale in templateXValue[16] . In templateXValue[1] , templateYValue[max] templateScale of the Chilean population acceded to templateYLabel[3] .
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 .
There is no use denying that the way people consume newspapers and magazines has changed . As of templateXValue[max] , more than two thirds of individuals in templateTitleSubject[0] were either reading or downloading templateTitle[0] templateTitle[1] , newspapers or magazines . This was more than three times the templateYLabel[0] of templateTitle[0] readers as compared to templateXValue[min] .
This statistic represents the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitleSubject[0] of templateTitleSubject[0] generated templateYLabel[0] templateYLabel[1] worth approximately templateYValue[max] templateScale templateYLabel[3] .
templateTitleSubject[0] 's templateYLabel[0] from printers and copiers reached about templateYValue[0] templateScale templateYLabel[2] templateYLabel[3] in the fiscal templateXLabel[0] templateXValue[max] . The templateTitle[1] templateTitle[2] is one of two main business segments of HP Inc . Personal systems is HP Inc 's second business templateTitle[2] , which in templateXValue[max] generated around 38.7 templateScale templateYLabel[2] templateYLabel[3] in templateYLabel[0] , bringing the company 's overall templateYLabel[0] to more than 58 templateScale templateYLabel[2] templateYLabel[3] in that templateXLabel[0] .
This statistic shows the total templateTitleSubject[0] ( UK ) templateTitleSubject[0] templateYLabel[0] and templateYLabel[1] templateYLabel[2] templateYLabel[3] from fiscal templateXLabel[0] templateXValue[last] to fiscal templateXLabel[0] templateXValue[0] . Over the period there were a number of fluctuations but overall there was an templatePositiveTrend . In the most recent recorded period , templateYLabel[0] and templateYLabel[1] templateYLabel[2] templateYLabel[3] totaled almost templateYValue[max] templateScale British pounds , which was also the peak .
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 templateYValue[idxmax(X)] templateYLabel[3] in templateXValue[idxmin(Y)] .
The statistic shows global templateYLabel[0] from templateTitleSubject[0] and templateTitleSubject[0] templateTitle[5] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , earphones and headphones were estimated to have a market value of templateYValue[idxmax(X)] templateScale templateYLabel[2] templateYLabel[3] templateTitle[3] .
The templateTitleSubject[0] group saw a two-year templatePositiveTrend in employment between templateXValue[3] and templateXValue[1] before templateNegativeTrend in templateXValue[max] . There were approximately templateYValue[last] thousand people employed by templateTitleSubject[0] group globally in templateXValue[min] . As of templateXValue[max] the total templateYLabel[0] of global templateYLabel[1] at the templateTitleSubject[0] group reached almost templateYValue[0] thousand templateYLabel[1] .
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[min] .
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] in templateTitleSubject[0] 's templateYLabel[0] is relatively low and stable at around templateYValue[0] templateScale which means the population is experiencing close to full employment .
This statistic provides 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] amounted to approximately templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] .
Since templateTitleDate[min] , the templateYLabel[0] templateYLabel[1] of templateTitle[2] in the templateTitle[3] has stayed more or less steady . In templateTitleDate[min] , the female templateYLabel[0] templateYLabel[1] was templateYValue[last] templateScale , and in 2018 , the templateYLabel[0] templateYLabel[1] was at templateYValue[0] templateScale . However , it reached a peak in 2000 at templateYValue[max] templateScale .
The statistic shows the templateYLabel[0] of the templateTitleSubject[0] Warriors franchise from the 2001/02 season to the 2018/19 season . In 2018/19 , the estimated templateYLabel[0] of the National Basketball Association franchise amounted to templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] .
There were over templateYValue[0] thousand templateYLabel[1] in templateTitleSubject[0] during templateXValue[max] , a templateNegativeTrend of around 900 templateYLabel[1] when compared with the previous templateXLabel[0] . Same sex marriage was legalized in templateTitleSubject[0] on 16 , templateXValue[4] following the Marriage and Civil Partnership Act . Compared with templateXValue[min] , there was a net templateNegativeTrend of around 2.77 thousand templateYLabel[1] by templateXValue[max] .
templateTitleSubject[0] templateTitle[1] employment was around 19,500 workers as of templateXValue[max] . templateTitleSubject[0] templateTitle[1] company goals are to create solutions to food safety and access , clean water , clean air and fuel , health care , and sustainable living . templateTitleSubject[0] Company Overview templateTitleSubject[0] is one of the world templateTitle[1] leading chemicals , plastics , and refining companies globally .
This statistic shows the templateTitle[0] of templateTitle[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . templateTitle[1] is measured by the templateYLabel[0] of templateYLabel[1] templateYLabel[4] in the templateYLabel[3] templateYLabel[4] . In templateXValue[max] , templateYValue[idxmax(X)] templateScale of templateTitleSubject[0] 's templateYLabel[3] templateYLabel[2] lived in cities .
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 .
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 represents the templateYLabel[0] templateYLabel[1] templateYLabel[2] of the templateTitle[2] templateTitle[3] templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[2] templateTitle[3] templateTitle[4] templatePositiveTrend by an estimated templateYValue[idxmax(X)] templateScale compared to the previous sales templateXLabel[0] . templateTitle[2] templateTitle[3] templateTitle[4] Since the early twentieth century , the production of templateTitle[3] has been controlled by a handful of multi-national corporations .
This statistic shows the templateScale of conceptions of under 16 girls templateYLabel[2] in templateYLabel[3] in templateTitleSubject[0] and templateTitleSubject[1] from templateXValue[min] to templateXValue[max] . The templateYLabel[0] of terminated templateYLabel[1] in this age group has remained around the same amount over the provided time period . In templateXValue[max] , approximately templateYValue[idxmax(X)] templateScale of the templateYLabel[1] led to templateYLabel[3] .
This statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] in the templateTitle[0] from templateXValue[min] to templateXValue[max] . According to the report , the templateTitleSubject[0] templateTitle[4] templateYLabel[0] templateYLabel[1] templateYLabel[2] amounted to about templateYValue[idxmax(X)] templateYLabel[3] templateYLabel[0] templateYLabel[5] in templateXValue[max] .
This statistic shows the templateYLabel[0] of templateTitle[2] templateTitle[3] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , it is estimated that there will be around templateYValue[idxmax(X)] templateScale templateTitle[2] templateTitle[3] templateYLabel[1] in the country , up from templateYValue[idxmin(X)] templateScale in templateXValue[idxmin(Y)] .
The statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] and templateXValue[max] . According to the source , the data are ILO estimates . In templateXValue[max] , the estimated templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] was at templateYValue[idxmax(X)] templateScale .
The statistic displays the templateYLabel[0] templateYLabel[1] of the sports from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateYLabel[0] templateYLabel[1] in the templateTitleSubject[0] is expected to reach templateYValue[idxmax(X)] templateScale templateYLabel[3] templateYLabel[4] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] household end users in templateTitleSubject[0] templateTitle[7] from templateXValue[0] to templateXValue[last] . In the first half of templateXValue[12] , the average templateTitle[0] price templateTitle[2] templateTitle[3] was 17.6 templateYLabel[0] templateYLabel[1] templateYLabel[2] kWh and had templatePositiveTrend to templateYValue[max] the following templateXLabel[0] .
The statistic shows the degree of templateTitle[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] and details the templateScale of the entire templateYLabel[2] , living in templateYLabel[1] areas . In templateXValue[max] , templateYValue[idxmax(X)] templateScale of the total templateYLabel[2] in templateTitleSubject[0] lived in cities . templateTitleSubject[0] 's rural exodus templateTitleSubject[0] is one of the largest countries in the world regarding land area , second behind Russia .
This statistic shows the templateYLabel[0] templateYLabel[1] of the carmaker templateTitleSubject[0] from the fiscal templateXLabel[0] of 2008 to the fiscal templateXLabel[0] of templateXValue[max] in templateScale templateYLabel[4] . In the fiscal templateXLabel[0] of templateXValue[max] , templateTitleSubject[0] templateTitle[1] templateYLabel[0] templateYLabel[1] amounted to around templateYValue[0] templateScale templateYLabel[4] ( roughly 22.3 templateScale U.S. dollars ) . The templateTitleSubject[0] Motor Corporation is a Japan-based multinational company with headquarters in Japan .
This statistic shows the templateYLabel[0] of recreational templateYLabel[1] to the templateTitleSubject[0] II templateTitleSubject[0] in the templateTitle[7] from templateXValue[min] to templateXValue[max] . The templateYLabel[0] of templateYLabel[1] to the templateTitleSubject[0] II templateTitleSubject[0] amounted to approximately templateYValue[0] templateYValue[idxmax(X)] in templateXValue[max] .
The templateTitleSubject[0] is templatePositiveTrend in every aspect . Over the last decade , the total templateYLabel[0] templateTitle[7] of templateTitle[3] in the templateTitleSubject[0] have more than quadrupled . In templateXValue[max] they amounted to approximately templateYValue[max] templateScale templateYLabel[4] .
The statistic shows the templateYLabel[0] templateTitle[4] prices of selected templateXValue[2] World templateXValue[2] templateTitle[7] at the templateXValue[0] templateXValue[2] templateTitle[9] templateTitle[10] . The templateXValue[0] game templateXValue[0] - 'Brazuca ' is sold at the templateXValue[2] templateTitle[9] shop for templateYValue[max] templateYLabel[2] templateYLabel[3] . templateXValue[2] Cup templateTitle[7] - additional information In a templateXValue[2] of social media and global connectivity , the templateXValue[2] Cup is templatePositiveTrend in popularity with every tournament , with over 26 templateScale Americans tuning in to watch the templateXValue[2] final .
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] .
This statistic represents the templateYLabel[1] of templateYLabel[0] of the templateTitle[1] and templateTitle[0] templateTitle[2] into the templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYLabel[0] of such products came to a total of about templateYValue[idxmax(X)] templateScale templateYLabel[3] templateYLabel[4] . templateYLabel[3] templateYLabel[0] of domestic templateTitle[2] – additional information Electrical devices used within a templateTitle[1] are part of a billion-dollar home appliance industry , which is projected to grow in the coming years .
The statistic shows the templateTitle[0] templateTitle[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In the templateXLabel[0] templateXValue[max] , about templateYValue[idxmax(X)] templateYLabel[1] were templateYLabel[2] templateYLabel[3] templateYLabel[4] of childbearing age . Despite a templateNegativeTrend templateTitle[0] templateTitle[1] , the total population of templateTitleSubject[0] is expected to templatePositiveTrend over the next few years .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateYLabel[3] templateTitle[4] templateYLabel[1] templateTitle[6] templateTitle[7] in the templateTitle[8] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[idxmax(X)] templateScale templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This statistic shows templateTitle[1] templateYLabel[0] in the templateTitle[3] from templateXValue[min] to templateXValue[max] . The templateTitle[1] templateYLabel[0] are defined as the net income of corporations in the National Income and Product Accounts ( NIPA ) . In templateXValue[max] , corporations in the U.S.A. made templateYLabel[0] of around templateYValue[0] templateScale templateYLabel[2] templateYLabel[3] .
The statistic shows the templateYLabel[0] of templateTitle[1] television templateYLabel[1] in the templateTitle[3] from templateXValue[min] to templateXValue[max] . According to the source , there were templateYValue[idxmax(X)] templateScale templateTitle[1] templateYLabel[1] in the templateTitle[3] in templateXValue[max] templateXValue[idxmin(Y)] a templateNegativeTrend of more almost 10 templateScale from templateXValue[min] .
This graph depicts the templateYLabel[0] templateYLabel[1] templateYLabel[2] for templateTitleSubject[0] templateTitle[4] templateTitle[6] 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 statistic presents the templateTitle[4] user penetration rate in templateTitleSubject[0] , as templateScale of the total templateYLabel[1] , from templateXValue[min] to templateXValue[max] . The templateTitle[4] penetration rate is forecast to reach templateYValue[1] templateScale by templateXValue[1] .
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] of templateYLabel[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] worldwide . In templateXValue[max] , templateTitleSubject[0] employed templateYValue[0] templateYValue[idxmax(X)] .
British streaming giant templateTitleSubject[0] had a total templateYLabel[0] templateYLabel[1] of over 1.86 templateScale British pounds in templateXValue[max] , whilst the company 's annual revenue reached 20.15 templateScale templateYLabel[3] templateYLabel[4] . The number of templateTitleSubject[0] 's streaming subscribers worldwide has continued to grow in recent years , reaching 167 templateScale in the fourth quarter of templateXValue[max] . Three years earlier , in the fourth quarter of templateXValue[4] , the figure stood at 74.76 templateScale subscribers .
This statistic presents the templateYLabel[0] of templateTitleSubject[0] of templateTitleSubject[0] ( LoL ) monthly active templateYLabel[2] worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[max] , LoL had templateYValue[idxmax(X)] templateScale templateTitleSubject[0] , up from templateYValue[1] templateScale in templateXValue[1] . Being one of the most prominent eSports games , in templateXValue[1] LoL championship finals attracted 36 templateScale viewers worldwide .
This statistic depicts templateTitle[1] templateYLabel[0] worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[3] , templateTitleSubject[0] templateTitle[1] templateYLabel[0] amounted to about templateYValue[3] templateScale templateYLabel[2] templateYLabel[3] . templateTitle[1] templateYLabel[0] - additional information Commonly referred to as the `` tree of life '' , the templateTitle[1] has a wide range of uses .
templateTitleSubject[1] templateTitle[4] templateTitleSubject[1] is a luxury templateTitleSubject[0] fashion house founded in a small town cose to Milan in 1985 by the two templateTitleSubject[0] designers Domenico templateTitleSubject[1] and Stefano templateTitleSubject[1] . This timeline illustrates the turrnover of the templateTitleSubject[0] luxury fashion templateTitle[2] templateTitleSubject[1] templateTitle[4] templateTitleSubject[1] between templateXValue[min] and templateXValue[max] . In templateXValue[max] , the total templateTitle[0] of templateTitleSubject[1] templateTitle[4] templateTitleSubject[1] amounted to over templateYValue[0] templateScale templateYLabel[2] , a templateNegativeTrend compared to the previous templateXLabel[0] .
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 the templateYLabel[0] of the templateTitleSubject[0] franchise from the 2001/02 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] . templateTitleSubject[0] - additional information The templateTitleSubject[0] are a professional basketball team that is part of the National Basketball Association ( NBA ) .
The statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateTitle[2] a templateTitleSubject[0] subscription in the templateTitle[4] in templateXValue[min] and templateXValue[max] . In the presented time period , the templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateTitle[2] templateTitleSubject[0] templatePositiveTrend from templateYValue[idxmin(X)] templateScale to templateYValue[idxmax(X)] templateScale .
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 estimated to be templateYValue[idxmax(X)] templateScale . templateTitleSubject[0] 's population in comparison to other BRIC states templateTitleSubject[0] possesses one of the fastest-growing economies in the world and as a result , templateTitleSubject[0] is recognized as one of the G-20 major economies as well as a member of the BRIC countries , an association that is made up of rapidly templatePositiveTrend economies .
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] .
This graph depicts the templateTitle[3] templateYLabel[0] at templateTitle[0] templateTitle[1] templateTitle[2] in the templateTitle[5] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[idxmax(X)] templateScale people attended a templateTitle[0] templateTitle[1] concert at least once . The templateTitle[1] concert industry – additional information In 2016 , Beyonce and Guns ' N ' templatePositiveTrend were among the most successful templateTitle[1] tours in North America , generating 169.4 templateScale templateTitleSubject[0] dollars and 130.8 templateScale templateTitleSubject[0] dollars , respectively in gross revenue .
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 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[max] templateScale templateYLabel[2] to the templateYLabel[3] 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] .
This graph depicts the total templateTitle[0] templateTitle[1] templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] 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 templateTitle[0] engine templateTitle[1] of templateTitle[2] registered in templateTitleSubject[0] templatePositiveTrend between templateXValue[min] and templateXValue[max] . By templateXValue[max] , templateTitle[3] with a volume of templateYValue[idxmax(X)] templateYLabel[0] centimeters had become the norm , an templatePositiveTrend of nearly 40 templateScale since the beginning of the reporting period . Most common engine templateTitle[1] As of templateXValue[idxmax(Y)] , most registered templateTitle[2] had an engine templateTitle[1] either between 51 and 125 templateYLabel[0] centimeters or greater than 1,000 templateYLabel[0] centimeters .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] templateTitle[4] in the templateTitle[5] between templateXValue[min] and templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] templateTitle[2] templateTitle[3] templateTitle[4] stood at around templateYValue[idxmax(X)] templateScale .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitleSubject[0] ( templateTitleSubject[1] ) from templateXValue[min] to templateXValue[max] . In the templateTitle[0] , there is expected that templateYValue[2] templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] in templateXValue[idxmax(Y)] .
The statistic shows total templateYLabel[2] templateTitle[0] templateYLabel[0] templateTitle[2] the Supplemental Nutrition Assistance Program ( templateTitle[3] , formerly called templateTitleSubject[0] ) from templateXValue[min] to templateXValue[max] . In templateXValue[2] , about templateYValue[2] templateScale templateYLabel[2] templateYLabel[3] were spent templateTitle[2] the Supplemental Nutrition Assistance Program .
This statistic shows the templateYLabel[0] of templateYLabel[1] in templateTitle[2] in the templateTitle[3] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were approximately templateYValue[idxmax(X)] templateScale templateYLabel[1] in templateTitle[2] . Water sports Water sports such as templateTitle[2] , surfing , snorkeling , scuba diving , canoeing , kayaking and rafting draw templateScale of templateYLabel[1] in the templateTitle[3] each templateXLabel[0] .
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 templateTitle[0] templateTitle[1] templateYLabel[0] templateYLabel[1] templateTitle[4] templateYLabel[3] of templateTitleSubject[0] was to templateYValue[max] templateScale in templateXValue[idxmax(Y)] . This was up from templateYValue[1] templateScale the templateXLabel[0] earlier , the highest templateYLabel[3] in the past six years . What is the templateYLabel[0] templateYLabel[1] templateTitle[4] templateYLabel[3] ? templateYLabel[0] templateYLabel[1] templateTitle[4] is essentially the amount of money a bank has on hand in case it needs to cover unexpected expenses from risky transactions .
The greatest templateYLabel[0] of passengers at templateTitle[6] templateTitle[7] waited between templateYValue[min] to five minutes to be templateTitle[4] screened . Only templateYValue[2] templateScale stated that they had queued templateTitle[3] longer than six minutes , although none of the templateYLabel[1] waited templateTitle[3] longer than 30 minutes . 85 templateScale of passengers at templateTitle[6] templateTitle[7] were satisfied with their templateTitle[4] templateTitle[5] experience .
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 templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] templateTitle[3] parent families with a female householder and no spouse present in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , templateYValue[idxmin(X)] templateScale of all templateTitleSubject[0] families with a templateTitle[3] mother in the templateTitle[5] lived below the templateYLabel[0] level . In templateXValue[max] , that figure was at templateYValue[idxmax(X)] templateYValue[idxmax(X)] .
This statistic shows the estimated templateTitle[0] templateTitle[1] in templateTitleSubject[0] in templateTitleDate[0] . In templateTitleDate[0] , about templateYValue[max] templateScale of templateTitleSubject[0] 's total templateYLabel[1] was estimated to be aged between 0 and 14 templateXValue[0] .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateYLabel[3] templateTitle[4] templateYLabel[1] templateTitle[6] templateTitle[7] in the templateTitle[8] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[idxmax(X)] templateScale templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This statistic presents the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the American company reported templateYLabel[0] templateYLabel[1] to the value of almost 1.15 templateScale templateYLabel[3] templateYLabel[4] from its cold chain templateTitleSubject[0] worldwide .
This statistic shows the revenue of the templateTitle[0] of young people between the ages of templateTitle[9] to templateTitle[10] in the templateTitle[1] templateTitle[4] templateXValue[min] to templateXValue[max] . In templateXValue[max] , approximately templateYValue[0] templateScale young people templateTitle[4] that templateTitle[7] templateTitle[8] lived in the templateTitle[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] . Over this period templateYLabel[1] of both domestic and international tourists in templateTitle[3] establishments in templateTitleSubject[0] has templatePositiveTrend , reaching around templateYValue[idxmax(X)] templateScale in templateXValue[idxmax(Y)] .
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 forecasted templateYLabel[0] of the templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] , a comparison between templateXValue[0] and templateXValue[last] . In templateXValue[last] , the templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] is expected to have a cargo templateYLabel[0] of around templateYValue[max] templateScale templateYLabel[2] ( twenty-foot equivalent units ) .
This statistic shows the templateYLabel[3] 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 figure shows the templateYLabel[0] of households templateTitle[2] templateTitle[3] templateTitle[4] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . Over the time period under consideration , templateTitle[3] oven ownership has templateNegativeTrend from templateYValue[idxmin(X)] templateScale of templateYLabel[1] in templateXValue[min] to templateYValue[idxmax(X)] templateScale in templateXValue[idxmin(Y)] .
This statistic represents the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitleSubject[0] of templateTitleSubject[0] generated templateYLabel[0] templateYLabel[1] worth approximately templateYValue[max] templateScale templateYLabel[3] .
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 .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateYLabel[3] templateTitle[4] templateYLabel[1] templateTitle[6] templateTitle[7] in the templateTitle[8] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[idxmax(X)] templateScale of the templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This statistic shows the templateYLabel[0] of templateTitleSubject[1] templateYLabel[1] in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of templateTitleSubject[1] templateYLabel[1] in the templateTitleSubject[0] is expected to reach templateYValue[idxmax(X)] templateScale , up from templateYValue[idxmin(X)] templateScale in 2016 . As of the fourth quarter of templateXValue[5] , the social network was accessed by 2.3 templateScale templateYLabel[1] on a monthly basis .
This statistic represents templateTitleSubject[0] 's templateYLabel[0] between the templateXValue[min] and templateXValue[max] fiscal years . In the templateXValue[max] fiscal templateXLabel[0] , the manufacturer of regional aircraft , business jets , mass transportation equipment and recreational equipment had revenues of templateYValue[idxmax(X)] templateScale templateYLabel[2] templateYLabel[3] .
This statistic shows templateTitle[0] templateTitleSubject[0] templateTitle[2] templateYLabel[1] of the templateTitle[4] templateTitle[5] templateTitle[6] templateYLabel[0] templateTitle[8] from templateXValue[min] to templateXValue[max] . In templateXValue[7] , templateTitle[0] templateTitleSubject[0] templateTitle[2] templateYLabel[1] of the global templateTitle[4] templateTitle[5] templateTitle[6] templateYLabel[0] is estimated to be templateYValue[7] templateScale . The company is a manufacturer and marketer of prestige templateTitle[4] templateTitle[5] , makeup , fragrance and hair templateTitle[5] templateTitle[6] , with global net sales of over 11.2 templateScale U.S. dollars .
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[min] .
This statistic displays the templateTitle[0] templateYLabel[0] of templateYLabel[1] templateTitle[3] templateTitle[4] in templateTitleSubject[0] in templateXValue[min] , templateXValue[1] and templateXValue[max] . According to the source , approximately 240 thousand templateYLabel[1] are templateTitle[0] to have templateTitle[4] by templateXValue[max] in templateTitleSubject[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 around templateYValue[idxmax(X)] templateScale . Economy and employment in templateTitleSubject[0] Since reaching a decade low in templateXValue[12] , templateYLabel[0] in templateTitleSubject[0] has experienced considerable surges , most notably after templateXValue[8] .
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 presents the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] ' templateYLabel[0] templateYLabel[1] amounted to around templateYValue[0] templateScale templateYLabel[3] . After spin-offs of other product segments , Koninklijke templateTitleSubject[0] N.V. today is a company focused on healthcare/medical technology .
The statistics depicts the templateYLabel[0] of registered templateTitle[0] templateTitle[1] templateYLabel[1] in the 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 the templateTitleSubject[0] according to the International templateTitle[0] templateTitle[1] Federation .
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] .
The statistic shows a growth forecast for the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateYLabel[0] in templateXValue[max] and shows the actual projected templateYLabel[0] value of the templateTitle[1] templateTitle[2] templateYLabel[0] in templateXValue[min] . For templateXValue[max] , the templateTitleSubject[0] smart templateTitle[1] templateTitle[2] templateYLabel[0] is forecasted to reach templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] . The predicted compound annual growth rate between templateXValue[min] and templateXValue[idxmax(Y)] should be 26.3 templateScale .
templateTitleSubject[0] ' templateTitle[4] templateTitle[5] has been declining over recent years , templateNegativeTrend to templateYValue[0] templateYLabel[1] in the financial templateXLabel[0] of templateXValue[max] . templateTitleSubject[0] FedEx templateTitleSubject[0] is the global templateTitleSubject[0] package and freight delivery segment of the U.S-based courier service templateTitleSubject[0] . In addition to their motorized templateYLabel[1] , templateTitleSubject[0] also maintains a templateTitle[5] of 681 aircraft for the transportation of cargo .
This graph depicts the templateYLabel[0] templateYLabel[1] templateYLabel[2] of 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] .
The statistic shows templateTitle[0] templateTitle[1] templateTitle[2] ( templateYLabel[0] ) templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] 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 .
This statistic shows templateTitle[0] templateTitle[1] templateTitle[2] ( templateYLabel[0] ) of the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] in templateScale templateYLabel[2] templateYLabel[3] . In templateXValue[6] , the EU 's templateYLabel[0] amounted to about templateYValue[6] templateScale templateYLabel[2] templateYLabel[3] . Brexit and the economy of the templateTitleSubject[0] The templateTitleSubject[0] is still recovering from the crisis in 2008 , but it is by no means making an impressive comeback and templateXValue[8] has not started out on the right foot either .
This statistic shows the templateTitle[0] of templateTitle[1] templateTitle[2] in templateTitleSubject[0] in selected years from templateXValue[min] to templateXValue[max] . In templateXValue[min] , German templateTitle[1] templateTitle[2] had a templateTitle[1] templateTitle[0] of roughly templateYValue[idxmin(X)] templateScale templateYLabel[1] . templateYValue[10] years later , templateTitle[0] figures amounted to less than templateYValue[8] templateScale templateYLabel[1] .
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] .
The typical American picture of a templateYLabel[4] templateTitle[7] 2.5 kids might not be as relevant as it once was : In templateXValue[max] , there was an templateYLabel[0] of templateYValue[idxmax(X)] templateYLabel[2] under 18 templateYLabel[3] templateYLabel[4] in the templateTitle[5] . This is a templateNegativeTrend from templateYValue[last] templateYLabel[2] under 18 templateYLabel[3] templateYLabel[4] in templateXValue[min] . Familial structure in the templateTitle[5] If there 's one thing the templateTitle[5] is known for , it 's diversity .
This statistic shows the templateTitle[0] templateTitle[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . The templateTitle[0] templateTitle[1] is the average templateYLabel[0] of templateYLabel[1] templateYLabel[2] by one templateYLabel[4] while being of child-bearing age . In templateXValue[max] , templateTitleSubject[0] 's templateTitle[0] templateTitle[1] amounted to templateYValue[min] templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
The templateTitle[0] templateTitle[1] templateYLabel[0] templateYLabel[1] templateTitle[4] templateYLabel[3] of templateTitleSubject[0] was to templateYValue[max] templateScale in templateXValue[idxmax(Y)] . This was up from templateYValue[1] templateScale the templateXLabel[0] earlier , the highest templateYLabel[3] in the past six years . What is the templateYLabel[0] templateYLabel[1] templateTitle[4] templateYLabel[3] ? templateYLabel[0] templateYLabel[1] templateTitle[4] is essentially the amount of money a bank has on hand in case it needs to cover unexpected expenses from risky transactions .
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 templateTitleSubject[0] templateTitle[1] templateYLabel[0] templateYLabel[1] in templateYLabel[2] to templateYLabel[3] between templateXValue[min] and templateXValue[6] , with projections up until templateXValue[max] . A positive value indicates a templateYLabel[0] surplus , a negative value indicates a trade deficit . In templateXValue[6] , templateTitleSubject[0] templateTitle[1] trade deficit amounted to around 7.23 templateScale of templateYLabel[3] .
This graph depicts the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] of the National Football League from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] came to around templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] . The templateTitleSubject[0] are owned by Paul Allen , who bought the templateYLabel[0] for 194 templateScale templateYLabel[3] templateYLabel[4] in 1997 .
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 value of templateYLabel[0] templateYLabel[1] in the templateTitle[3] from templateXValue[min] to templateXValue[max] . Home templateYLabel[1] value is calculated by subtracting the value of remaining mortgage debt from the market value of the real estate property . That means that the value of home templateYLabel[1] increases as the debtor pays off the mortgage .
This statistic represents the templateYLabel[0] of templateTitle[1] templateYLabel[1] in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were a templateYLabel[0] of templateYValue[idxmax(X)] templateTitle[1] templateYLabel[1] in the templateTitleSubject[0] , an templatePositiveTrend of 14.4 templateScale compared to the previous templateXLabel[0] .
This graph depicts the templateYLabel[1] of the templateTitleSubject[0] Mets templateYLabel[0] 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] dollars.In 2012 , a group ( Guggenheim Baseball Management ) including former templateTitleSubject[0] Lakers star Magic Johnson has agreed to buy the templateTitleSubject[0] Dodgers templateYLabel[0] for templateYValue[4] templateScale templateYLabel[3] templateYLabel[4] .
The templateTitleSubject[0] of templateTitleSubject[0] ( RBS ) is part of The templateTitleSubject[0] of templateTitleSubject[0] Group plc with Natwest and Ulster templateTitleSubject[0] and consists of 67 thousand employees over 187 branches across the United Kingdom . As of templateXValue[1] , RBS had over 830 templateScale euros in templateYLabel[1] , the fourth highest in the United Kingdom . History of RBS Founded in Edinburgh in 1727 , the templateTitleSubject[0] of templateTitleSubject[0] is an amalgamation of hundreds of past banks .
This statistic shows the templateTitle[1] templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[1] templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to templateYValue[idxmax(X)] templateYLabel[3] templateYLabel[4] .
This statistic shows templateTitle[0] sector templateYLabel[0] on templateTitle[2] templateTitle[3] in the templateTitleSubject[0] from templateXValue[last] to templateXValue[0] . The templateYLabel[0] on templateTitle[2] templateTitle[3] has continuously templateNegativeTrend during this period . In templateXValue[0] , this templateYLabel[0] totalled approximately templateYValue[min] templateScale British pounds .
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 around templateYValue[idxmax(X)] templateScale . Economy and employment in templateTitleSubject[0] Since reaching a decade low in templateXValue[12] , templateYLabel[0] in templateTitleSubject[0] has experienced considerable surges , most notably after templateXValue[8] .
The statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections until templateXValue[max] . A positive value indicates a state surplus ; a negative value , a templateYLabel[0] deficit . In templateXValue[6] , the templateYLabel[0] surplus of templateTitleSubject[0] was around templateYValue[6] templateScale 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 second half of templateXValue[1] , the average templateTitle[0] price templateTitle[2] templateTitle[3] was templateYValue[max] templateYLabel[0] templateYLabel[1] templateYLabel[2] kWh . This templatePositiveTrend the following templateXLabel[0] to templateYValue[0] templateYLabel[0] templateYLabel[1] .
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 represents the projected templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[2] , templateYValue[2] templateScale units of templateTitle[3] templateTitle[4] were sold worldwide .
This statistic represents the templateYLabel[0] templateYLabel[1] of the templateYLabel[3] templateTitle[2] templateTitle[3] templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[2] templateTitle[3] templateTitle[4] templatePositiveTrend by an estimated templateYValue[idxmax(X)] templateScale compared to the previous sales templateXLabel[0] . templateTitle[2] templateTitle[3] templateTitle[4] Since the early twentieth century , the production of templateTitle[3] has been controlled by a handful of multi-national corporations .
In templateXValue[max] , California-based full-service restaurant ( FSR ) chain The templateTitleSubject[0] generated approximately templateYValue[max] templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] in templateYLabel[0] worldwide , up from templateYValue[1] templateScale the previous templateXLabel[0] . Leading FSR chains With a templateYLabel[0] of over templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] , The templateTitleSubject[0] stands firmly alongside other top FSR chains in the country such as Applebee 's , Olive Garden , Denny 's and more . Fellow American casual dining restaurant chain Applebee 's accounted for 4.12 templateScale templateYLabel[2] templateYLabel[3] in the templateYLabel[2] , making it the leading full-service restaurant chain in the country in terms of templateYLabel[0] .
The statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] in the templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[2] , templateYValue[2] templateScale of the households in the templateTitle[4] owned a templateTitle[2] camera .
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] 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] in templateTitleSubject[0] 's templateYLabel[0] is relatively low and stable at around templateYValue[0] templateScale which means the population is experiencing close to full employment .
This statistic shows the templateScale of conceptions of under 16 girls templateYLabel[2] in templateYLabel[3] in templateTitleSubject[0] and templateTitleSubject[1] from templateXValue[min] to templateXValue[max] . The templateYLabel[0] of terminated templateYLabel[1] in this age group has remained around the same amount over the provided time period . In templateXValue[max] , approximately templateYValue[idxmax(X)] templateScale of the templateYLabel[1] led to templateYLabel[3] .
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 presents the templateTitle[3] templateTitle[4] of templateTitle[0] and templateTitle[1] to templateTitle[5] in templateTitleSubject[0] from templateXValue[min] to templateXValue[1] , with a forecast for templateXValue[max] . Over this period , the templateTitle[4] of the templateTitle[0] and templateTitle[1] industry to templateTitle[5] in templateTitleSubject[0] templatePositiveTrend , reaching around templateYValue[2] templateScale templateYLabel[2] in templateXValue[2] .
The statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , athletes from templateYValue[idxmax(X)] templateYLabel[2] participated in the templateTitleSubject[0] in Rio de Janeiro , Brazil .
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] .
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 second half of templateXValue[1] , the average templateTitle[0] price templateTitle[2] templateTitle[3] was templateYValue[max] templateYLabel[0] templateYLabel[1] templateYLabel[2] kWh .
There were templateYValue[0] reported templateTitle[1] templateTitle[2] in templateTitleSubject[0] in templateXValue[max] . This was a slight templatePositiveTrend compared to the previous templateXLabel[0] , but an templatePositiveTrend of 14 incidents compared to the low reported in templateXValue[4] . The Northern European island state is known for enforcing a strict templateTitle[1] safety policy in order to ensure the security of its residents and tourists in the country .
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 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 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 statistic shows the templateYLabel[0] templateYLabel[1] templateTitle[2] a templateTitle[3] templateTitle[4] of templateTitle[5] templateTitle[6] in the templateTitle[7] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[2] charged an templateYLabel[0] templateYLabel[1] of templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] templateTitle[2] .
The templateYLabel[0] of the templateTitleSubject[0] luxury brand templateTitle[4] templateTitle[5] has templatePositiveTrend twofold over the period surveyed , templatePositiveTrend from roughly templateYValue[min] templateScale templateYLabel[2] in templateXValue[idxmin(Y)] to templateYValue[max] templateScale templateYLabel[2] in the templateXLabel[0] templateXValue[idxmax(Y)] . Despite the steady templatePositiveTrend in templateYLabel[0] during the period considered , the templateTitle[3] reported a net loss of approximately 25 templateScale templateYLabel[2] in templateXValue[max] . Worldwide recognition Founded in 1978 in Milan , templateTitle[4] templateTitle[5] is one of the leading international templateTitle[2] design houses .
This statistic shows templateTitleSubject[0] templateTitle[1] 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] , templateTitleSubject[0] generated around templateYValue[max] templateScale templateYLabel[2] ( or about 27 templateScale U.S. dollars ) in templateYLabel[0] .
This statistic presents the templateTitle[3] templateTitle[4] of templateTitle[0] and templateTitle[1] to templateTitle[5] in templateTitleSubject[0] from templateXValue[min] to templateXValue[1] , with a forecast for templateXValue[max] . Over this period , the templateTitle[4] of the templateTitle[0] and templateTitle[1] industry to templateTitle[5] in templateTitleSubject[0] templatePositiveTrend , reaching around templateYValue[2] templateScale templateYLabel[2] in templateXValue[2] .
This statistic shows templateTitleSubject[0] templateTitle[1] templateTitleSubject[0] templateTitle[3] templateYLabel[0] templateYLabel[1] of the over-the-counter and templateTitle[8] templateYLabel[0] worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[6] , templateTitleSubject[0] templateTitle[1] templateTitleSubject[0] templateTitle[3] templateYLabel[0] templateYLabel[1] of the templateTitle[6] over-the-counter and templateTitle[8] templateYLabel[0] is estimated to be templateYValue[6] 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 .
The statistic depicts the templateYLabel[0] of the templateTitleSubject[0] Saints , a franchise of the National Football League , from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of the templateTitleSubject[0] Saints was templateYValue[max] templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
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] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . The templateTitle[0] templateTitle[1] is the average templateYLabel[0] of templateYLabel[1] templateYLabel[2] by one templateYLabel[4] while being of child-bearing age . In templateXValue[max] , templateTitleSubject[0] 's templateTitle[0] templateTitle[1] amounted to templateYValue[min] templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
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] .
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 represents the templateTitle[1] templateTitle[2] templateYLabel[0] in the templateTitle[0] between templateXValue[min] and templateXValue[max] . In templateXValue[max] , approximately templateYValue[0] templateScale templateYLabel[2] templateYLabel[3] of templateTitle[1] products were sold in the templateTitle[0] . Building materials in the templateTitle[0] : templateTitle[1] After its tremendous downturn following the templateXValue[11] subprime mortgage crisis , the housing industry in the templateTitle[0] is making a comeback , especially in markets like New York , Dallas and Houston .
This statistic presents the templateYLabel[0] of people in the templateTitle[2] who have read at least one templateTitle[0] in the past 12 months as of 2018 , broken down templateTitle[4] templateTitle[5] . During a survey , templateYValue[max] templateScale of templateYLabel[1] aged 18 to 29 stated they had read at least one templateTitle[0] in the previous 12 months . The popularity of this medium is reflected in the templatePositiveTrend templateTitle[0] sales revenue .
The median templateYLabel[0] earnings for templateTitle[0] templateTitle[1] templatePositiveTrend by 3.77 pounds between templateXValue[min] and templateXValue[max] , reaching templateYValue[idxmax(X)] pounds in that templateXLabel[0] . This has occurred due to small incremental increases in every templateXLabel[0] , with the largest such rise occurring between templateXValue[12] and templateXValue[11] at 0.52 British pounds . Minimum and living templateTitle[4] in the templateTitleSubject[1] In the templateTitleSubject[0] , employers are expected to templateYLabel[1] their templateTitle[1] a minimum templateTitle[4] that is determined by how old they are .
This statistic shows the templateTitle[1] templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , about templateYValue[idxmax(X)] templateScale of templateTitleSubject[0] 's templateYLabel[1] lived below the templateTitle[1] line .
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 timeline shows templateTitle[0] , templateTitle[1] , and templateTitle[2] templateTitle[3] templateTitle[4] in the templateTitle[5] from templateTitleDate[min] to templateTitleDate[max] . In templateTitleDate[max] , templateYLabel[1] templateTitle[0] , templateTitle[1] , and templateTitle[2] templateTitle[3] templateTitle[4] amounted to about templateYValue[0] templateScale templateYLabel[1] dollars.Additional information on the templateTitle[1] and gifts market in the USThe statistic above shows how templateTitle[4] in the templateTitle[0] , templateTitle[1] and templateTitle[2] sector templateNegativeTrend following the market crash in 2008 , as did retail in the templateTitle[5] overall . A comparison of templateTitle[0] purchases in 2015 between millennials and consumers aged 35 and over shows that younger people are choosing travel and entertainment over more traditional gifts than their older counterparts .
The population in templateTitleSubject[0] has been templatePositiveTrend annually and reached 10.23 templateScale in templateXValue[max] , and these individuals were living in almost templateYValue[max] templateScale templateYLabel[1] . As with the templatePositiveTrend population , the templateYLabel[0] of templateYLabel[1] were templatePositiveTrend annually as well , from 4.3 templateYLabel[1] in templateXValue[min] , up to the 4.7 in templateXValue[idxmax(Y)] . Single household without children most common Most of the templateYLabel[1] in templateTitleSubject[0] in templateXValue[max] were single templateYLabel[1] without children and amounted to around 1.8 templateScale .
The templateTitle[0] engine templateTitle[1] of templateTitle[2] registered in templateTitleSubject[0] templatePositiveTrend between templateXValue[min] and templateXValue[max] . By templateXValue[max] , templateTitle[3] with a volume of templateYValue[idxmax(X)] templateYLabel[0] centimeters had become the norm , an templatePositiveTrend of nearly 40 templateScale since the beginning of the reporting period . Most common engine templateTitle[1] As of templateXValue[idxmax(Y)] , most registered templateTitle[2] had an engine templateTitle[1] either between 51 and 125 templateYLabel[0] centimeters or greater than 1,000 templateYLabel[0] centimeters .
The statistic shows 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] templateYLabel[3] in templateXValue[idxmin(Y)] .
The statistic shows the templateTitle[0] templateTitle[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In the templateXLabel[0] templateXValue[max] , about templateYValue[idxmax(X)] templateYLabel[1] were templateYLabel[2] templateYLabel[3] templateYLabel[4] of childbearing age . Despite a templateNegativeTrend templateTitle[0] templateTitle[1] , the total population of templateTitleSubject[0] is expected to templatePositiveTrend over the next few years .
This statistic displays the templateYLabel[0] of rare earth templateTitle[2] templateTitle[1] templateTitle[2] templateTitle[4] from templateXValue[min] to templateXValue[max] . It is expected that the templateYLabel[0] of templateTitle[1] templateTitle[2] will reach some templateYValue[8] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] templateYLabel[5] in templateXValue[8] .
This statistic shows the templateTitle[1] templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[1] templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to templateYValue[idxmax(X)] templateYLabel[3] templateYLabel[4] .
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 templateYLabel[0] of templateYLabel[1] templateYLabel[3] templateYLabel[4] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[5] , templateYValue[5] 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] .
The statistic shows the templateYLabel[0] templateYLabel[1] in the templateTitleSubject[0] ( UK ) from templateXValue[min] to templateXValue[6] in templateTitle[4] to the templateTitle[5] templateTitle[6] templateTitle[7] ( templateYLabel[2] ) , with projections up until templateXValue[max] . In templateXValue[6] , the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] amounted to about templateYValue[6] templateScale of the templateTitle[5] templateTitle[6] templateTitle[7] .
The statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] Emirates ' ( UAE ) from templateXValue[min] to templateXValue[6] , in templateYLabel[2] to gross domestic product , with projections up until templateXValue[max] . In templateXValue[6] , the templateTitleSubject[0] Emirates ' templateYLabel[0] templateYLabel[1] amounted to approximately templateYValue[0] templateScale of the country 's gross domestic product .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[6] in templateTitle[3] to the templateTitle[4] templateTitle[5] templateTitle[6] ( templateYLabel[3] ) , with projections up until templateXValue[max] . The figures refer to the whole country and include the debts of the state , the communities , the municipalities and the social insurances . In templateXValue[6] , the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] amounted to approximately templateYValue[6] templateScale of the templateYLabel[3] .
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 displays the templateYLabel[0] of templateTitle[1] , templateYLabel[2] and templateYLabel[3] in the United Kingdom ( templateTitleSubject[0] ) from templateXValue[min] to templateXValue[max] . There were templateYValue[min] of these establishments , compared to almost 61,000 in templateXValue[min] .
This statistic shows the templateTitle[0] templateYLabel[0] templateTitle[2] templateTitle[3] templateTitle[4] and flash templateTitle[4] in the templateTitle[5] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitle[4] templateTitle[2] approximately templateYValue[last] templateScale templateYLabel[2] templateYLabel[3] worth of property and crop templateYLabel[0] across the templateTitle[5] .
The statistic shows the templateYLabel[0] templateYLabel[1] at templateYLabel[2] in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the average templateYLabel[0] templateYLabel[1] at templateYLabel[2] among the templateTitleSubject[0] population was about templateYValue[0] templateYValue[idxmax(X)] .
This graph shows the templateTitle[0] templateTitle[1] in the federal state of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitle[1] of templateTitleSubject[0] stood at templateYValue[idxmax(X)] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] of land area .
This statistic presents the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] of templateTitleSubject[0] amounted to approximately templateYValue[idxmax(X)] templateScale templateYLabel[3] templateYLabel[4] .
This statistic shows the templateTitleSubject[0] templateTitle[1] templateYLabel[0] in crop years templateXValue[min] to templateXValue[max] . In crop templateXLabel[0] templateXValue[max] , there were around templateYValue[idxmax(X)] templateScale templateYLabel[2] of rice-cultivated area worldwide . In 2016/2017 , India was estimated to be the leading global producer of templateTitle[1] and to harvest about 44.5 templateScale templateYLabel[2] of templateTitle[1] .
This graph depicts the templateYLabel[1] of the templateTitleSubject[0] Royals templateYLabel[0] 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 templateTitleSubject[0] Royals are owned by David Glass , who bought the templateYLabel[0] for 200 templateScale templateYLabel[3] templateYLabel[4] in templateXValue[15] .
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 templateYLabel[0] of templateYLabel[1] templateTitle[2] templateTitle[3] as listed by the National Crime Information Center ( NCIC ) from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of templateYLabel[1] templateTitle[2] templateTitle[3] templateNegativeTrend slightly compared to previous years , with templateYValue[idxmax(X)] cases .
This statistic represents the templateTitle[0] templateYLabel[0] in the templateTitle[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateYLabel[0] in the templateTitle[2] amounted to some templateYValue[idxmax(X)] templateYLabel[0] templateYLabel[1] templateYLabel[2] 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 . templateYLabel[0] in templateTitleSubject[0] 's templateYLabel[0] is relatively low and stable at around templateYValue[0] templateScale which means the population is experiencing close to full employment .
The statistic shows templateTitleSubject[0] templateTitle[1] templateYLabel[0] of the templateYLabel[1] templateTitle[4] templateTitle[5] templateTitle[6] ( templateYLabel[2] ) adjusted for Purchasing Power Parity ( PPP ) from templateXValue[min] to templateXValue[max] . In templateXValue[6] , templateTitleSubject[0] templateTitle[1] templateYLabel[0] of templateYLabel[2] ( in relation to PPP dollars ) was about templateYValue[6] templateScale . For further information , see templateTitleSubject[0] templateTitle[1] templateYLabel[2] .
This statistic shows the degree of templateTitle[0] in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] and details the templateScale of the entire templateYLabel[2] , living in templateYLabel[1] areas . In templateXValue[max] , templateYValue[idxmax(X)] templateScale of the total templateYLabel[2] of the templateTitleSubject[0] lived in cities . templateYLabel[2] of the templateTitleSubject[0] The templateTitleSubject[0] is a developed country with a high standard of living .
The statistic shows the total templateTitleSubject[0] templateYLabel[0] templateYLabel[1] templateYLabel[2] from templateXValue[min] to templateXValue[max] . According to the source , the data are ILO estimates . In templateXValue[max] , the estimated templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] was at templateYValue[idxmax(X)] templateScale .
The statistic shows a templateTitleSubject[0] of the templateYLabel[0] templateTitle[2] of templateTitle[3] templateTitle[4] install base templateTitle[5] from templateXValue[min] to templateXValue[max] . The templateYLabel[0] templateTitle[2] of templateTitle[3] templateTitle[4] was templateYValue[idxmin(X)] templateYLabel[2] in templateXValue[idxmax(Y)] . It is projected to be templateYValue[idxmax(X)] templateYLabel[2] in templateXValue[max] .
This statistic shows the templateYLabel[0] of templateTitleSubject[0] of templateTitleSubject[0] ( LoL ) monthly active templateYLabel[2] worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[max] , LoL had templateYValue[idxmax(X)] templateScale templateTitleSubject[0] , up from templateYValue[1] templateScale in templateXValue[1] . Being one of the most prominent eSports games , in templateXValue[1] LoL championship finals attracted 36 templateScale viewers worldwide .
The statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] and templateXValue[max] . According to the source , the data are ILO estimates . In templateXValue[max] , the estimated templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] was at templateYValue[idxmax(X)] templateScale .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateYLabel[3] in the templateTitle[3] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , around 8.32 templateScale templateYLabel[2] were templateYLabel[3] in the templateTitle[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 . templateYLabel[0] in templateTitleSubject[0] 's templateYLabel[0] is relatively low and stable at around templateYValue[0] templateScale which means the population is experiencing close to full employment .
This statistic shows the templateTitleSubject[0] templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[idxmax(X)] templateScale of templateTitleSubject[0] 's templateYLabel[1] lived below the templateTitleSubject[0] line .
The statistic depicts the templateYLabel[0] of the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of the Major League Baseball franchise amounted to templateYValue[idxmax(X)] templateScale templateYLabel[2] dollars.The templateTitleSubject[0] are owned by Robert Castellini , who bought the franchise for 270 templateScale templateYLabel[2] templateYLabel[3] in templateXValue[12] .
This statistic shows the templateYLabel[0] of templateTitleSubject[0] Cheese templateTitle[4] templateTitle[5] from templateXValue[min] to templateXValue[max] . templateTitleSubject[0] Cheese templateTitle[4] generated approximately templateYValue[0] templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] in templateYLabel[0] in templateXValue[max] , up from templateYValue[1] templateScale in the previous templateXLabel[0] .
This statistic shows the templateTitle[0] templateTitle[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . The templateTitle[0] templateTitle[1] is the average templateYLabel[0] of templateYLabel[1] templateYLabel[2] by one templateYLabel[4] while being of child-bearing age . In templateXValue[max] , templateTitleSubject[0] 's templateTitle[0] templateTitle[1] amounted to templateYValue[min] templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
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 .
The statistic shows the templateYLabel[0] of different templateScale pure across the templateTitleSubject[0] templateYLabel[1] who were templateXValue[last] in either templateTitle[0] or templateTitle[1] templateTitle[2] as of October templateTitleDate[0] . Of those aged templateXValue[0] to templateXValue[0] old , templateYValue[0] templateScale were templateXValue[last] in templateTitle[2] .
This statistic shows the templateYLabel[0] of templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYLabel[0] of templateTitle[1] templateTitle[2] reached approximately templateYValue[idxmax(X)] templateScale templateYLabel[2] templateYLabel[3] , up from templateYValue[6] templateScale the previous templateXLabel[0] . In templateXValue[idxmax(Y)] , the templateTitle[1] with the highest lottery templateYLabel[0] was New York , with around 9.7 templateScale templateYLabel[2] templateYLabel[3] in templateYLabel[0] .
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 templateXValue[max] , around templateYValue[0] templateScale of templateTitle[5] templateTitle[6] in the templateTitle[4] stated they felt it was `` fairly easy '' or `` very easy '' to obtain templateTitleSubject[0] . This is a significant templateNegativeTrend from templateYValue[max] templateScale of templateTitle[5] templateTitle[6] who templateTitle[2] the drug to be easy to obtain in the templateXLabel[0] templateXValue[idxmax(Y)] . templateTitleSubject[0] is a hallucinogenic drug that can alter the user 's thoughts , feelings , and perception of reality .
The statistic shows the templateYLabel[0] of the templateTitleSubject[0] franchise from the 2001/02 season to the 2018/19 season . In 2018/19 , the estimated templateYLabel[0] of the National Basketball Association franchise amounted to templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] .
templateTitleSubject[0] experienced a templateYLabel[0] loss of seven templateScale templateYLabel[3] in templateXValue[max] , getting closer to turning a profit than the previous templateXLabel[0] . The Finnish company once known for cell phones has shifted its focus to providing telecommunication networks equipment and services - a market forecast to grow through 2020 . A strong player in networks technology As part of its drive into networks technology , templateTitleSubject[0] acquired communications equipment company Alcatel-Lucent in templateXValue[3] for 15.6 templateScale templateYLabel[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 gross domestic product ( templateYLabel[0] ) of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] 's templateYLabel[0] was templateYValue[0] templateScale templateYLabel[2] templateXValue[6] templateYLabel[4] templateYLabel[5] .
This statistic represents the templateTitle[3] templateTitle[4] templateYLabel[0] templateYLabel[1] going to the templateTitleSubject[0] Society out of the whole templateTitle[3] templateTitle[4] financial templateYLabel[0] in the United Kingdom ( templateTitleSubject[1] ) from templateXValue[min] to templateXValue[max] . It can be seen that templateTitleSubject[0] 's templateTitle[3] account templateYLabel[0] templateYLabel[1] templatePositiveTrend during the period under observation , reaching a templateYLabel[1] of templateYValue[max] templateScale as of the templateXLabel[0] ending 2019 templateXValue[idxmax(Y)] all standard and packaged templateTitle[4] . The smallest templateYLabel[1] of the templateTitle[3] account templateYLabel[0] was found in templateXValue[min] , when a templateYLabel[1] of templateYValue[idxmin(X)] templateYValue[idxmin(X)] was recorded .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] templateTitle[1] templateYLabel[0] templateYLabel[1] amounted to approximately templateYValue[0] templateScale templateYLabel[3] templateYLabel[4] . templateTitleSubject[0] is a United States-based multinational oil and gas corporation headquartered in Irving , Texas .
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] in templateTitleSubject[0] 's templateYLabel[0] is relatively low and stable at around templateYValue[0] templateScale which means the population is experiencing close to full employment .
The statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] and templateXValue[max] . According to the source , the data are ILO estimates . In templateXValue[max] , the estimated templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] was at templateYValue[idxmax(X)] templateScale .
The statistics depicts the templateYLabel[0] of registered templateTitle[0] templateTitle[1] templateYLabel[1] in the 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 the templateTitleSubject[0] according to the International templateTitle[0] templateTitle[1] Federation .
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 presents the League of Legends templateTitleSubject[0] prize templateYLabel[1] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitleSubject[0] Championship , which took place in various cities across France , Germany , and Spain , had a templateYLabel[0] templateYLabel[1] of templateYValue[idxmax(X)] templateScale templateYLabel[3] templateYLabel[4] , down from templateYValue[max] templateScale a templateXLabel[0] earlier .
This graph depicts the templateYLabel[1] of the templateTitleSubject[0] Royals templateYLabel[0] 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 templateTitleSubject[0] Royals are owned by David Glass , who bought the templateYLabel[0] for 200 templateScale templateYLabel[3] templateYLabel[4] in 2000 .
This statistic shows the templateTitleSubject[0] templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[idxmax(X)] templateScale of templateTitleSubject[0] 's templateYLabel[1] lived below the templateTitleSubject[0] line .
This statistic shows the templateTitle[0] of the templateTitleSubject[0] in templateTitleDate[0] , templateTitle[3] templateTitle[4] . On 1 , templateTitleDate[0] there were approximately templateYValue[0] templateScale people younger than templateXValue[0] living in the templateTitleSubject[0] . The largest templateTitle[4] group was formed templateTitle[3] those between templateXValue[1] and templateXValue[2] templateXValue[0] old .
This statistic shows the templateYLabel[0] templateYLabel[1] of the carmaker templateTitleSubject[0] from the fiscal templateXLabel[0] of 2008 to the fiscal templateXLabel[0] of templateXValue[max] in templateScale templateYLabel[4] . In the fiscal templateXLabel[0] of templateXValue[max] , templateTitleSubject[0] templateTitle[1] templateYLabel[0] templateYLabel[1] amounted to around templateYValue[0] templateScale templateYLabel[4] ( roughly 22.3 templateScale U.S. dollars ) . The templateTitleSubject[0] Motor Corporation is a Japan-based multinational company with headquarters in Japan .
The statistics shows the templateYLabel[0] templateYLabel[1] of templateYLabel[2] templateYLabel[3] templateYLabel[4] templateYLabel[5] templateTitle[4] car bombs and templateTitle[5] attacks in templateTitleSubject[0] templateTitle[8] from templateXValue[min] to templateXValue[max] . As of 19 , templateXValue[max] , there were an templateYLabel[0] of templateYValue[idxmax(X)] templateYValue[idxmax(X)] templateYLabel[3] templateYLabel[4] templateYLabel[5] caused templateTitle[4] templateTitle[5] attacks and car bombs in templateXValue[max] . templateTitleSubject[0] templateTitle[8] The templateTitleSubject[0] templateTitle[8] was launched in 2003 upon the invasion of templateTitleSubject[0] templateTitle[4] U.S. forces .
The Icelandic templateTitle[4] templateTitle[5] templateTitle[6] , which is controlled by the templateTitle[5] Association of templateTitleSubject[0] , made its highest templateYLabel[3] in the templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateXValue[23] . In this templateXLabel[0] , they participated as the smallest nation ever in the UEFA European Championship . The templateTitle[6] made it to the quarter finals but lost them to France .
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 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 statistic presents the development of templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . The templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] templatePositiveTrend from approximately templateYValue[min] templateScale templateYLabel[3] templateYLabel[4] in templateXValue[idxmin(Y)] to approximately templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] in templateXValue[idxmax(Y)] .
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 .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateYLabel[2] templateYLabel[3] templateYLabel[4] in templateTitleSubject[0] from the templateXLabel[0] templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitle[0] templateYLabel[0] templateYLabel[1] of templateYLabel[2] in templateTitleSubject[0] stood at around templateYValue[idxmax(X)] templateScale .
The total templateTitle[0] expenditure in templateTitleSubject[0] in templateXValue[max] accounted for approximately templateYValue[idxmax(X)] templateScale of templateTitleSubject[0] 's Gross Domestic Product ( templateYLabel[1] ) that templateXLabel[0] . This was the result of the steepest templatePositiveTrend in the past ten years and was the first time templateTitle[0] templateTitle[1] as a share of the templateYLabel[1] exceeded templateYValue[max] templateScale . This share saw a continuous templatePositiveTrend over the past decade , indicating that as the templateYLabel[1] templatePositiveTrend , templateTitle[0] templateTitle[1] templatePositiveTrend at an even faster rate .
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 statistic shows the templateTitle[1] templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[1] templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to templateYValue[idxmax(X)] templateYLabel[3] templateYLabel[4] .
The Irish low-cost carrier templateTitleSubject[0] saw an astonishing growth in the amount of templateYLabel[0] profits generated , before suffering a roughly 39 templateScale decline in its latest financial templateXLabel[0] . Between templateXValue[0] and templateXValue[5] , the Dublin based company was able to nearly triple their templateYLabel[0] profits . In templateXValue[5] , this figure reached templateYValue[5] templateScale templateYLabel[3] , roughly 10 templateScale templateYLabel[3] lower than its peak in templateXValue[3] , before templateNegativeTrend to templateYValue[last] templateScale templateYLabel[3] in 2018/19.Ryanair was established in 1984 and heavily profited from the European Union 's deregulation of the air industry in 1998 , allowing it to operate air travel between other EU member states .
Approximately templateYValue[max] templateScale templateYLabel[1] were recorded at travel templateTitle[3] in templateTitleSubject[0] in templateXValue[max] International tourism was the highest contributor , with around two thirds of templateYLabel[1] in visitor templateTitle[3] coming from a foreign country . templateTitleSubject[0] tourism growth Since templateXValue[9] international visitor numbers to templateTitleSubject[0] have steadily templatePositiveTrend . Including both overnight and same-day visitors , figures reached over 30 templateScale by templateXValue[1] .
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)] .
In templateXValue[max] , templateYValue[idxmax(X)] templateScale of templateYLabel[1] were committed templateTitle[1] templateTitle[2] in the templateTitle[3] . While this figure has remained relatively steady since templateXValue[min] , it has been templatePositiveTrend since templateXValue[2] . Firearms in the templateTitle[3] Firearms in the templateTitle[3] have become a large part of American culture .
This statistic shows the templateTitle[1] templateYLabel[0] of templateTitle[0] in the templateTitleSubject[0] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] , in templateYLabel[1] templateYLabel[2] . In templateXValue[max] , templateTitle[1] templateYLabel[0] of templateTitle[0] in DR templateTitleSubject[0] totaled some templateYValue[idxmax(X)] templateYLabel[1] templateYLabel[2] . Recently , worldwide templateYLabel[0] of templateTitle[0] has exceed consumption which has templateNegativeTrend prices for the mineral .
This graph depicts the templateYLabel[1] of the templateTitleSubject[0] Royals templateYLabel[0] 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 templateTitleSubject[0] Royals are owned by David Glass , who bought the templateYLabel[0] for 200 templateScale templateYLabel[3] templateYLabel[4] in templateXValue[15] .
In templateXValue[max] , the templateTitle[1] templateTitle[2] templateTitle[3] at templateTitle[4] templateTitle[5] templateTitle[6] a templateTitle[7] in templateTitleSubject[0] amounted to templateYValue[idxmax(X)] templateScale , which means that almost templateYValue[0] templateScale of the Brazilian templateYLabel[1] was living on less than templateTitle[4] templateTitle[5] templateTitle[6] per templateTitle[7] . The templateTitle[1] rate has templatePositiveTrend since templateXValue[3] , when the templateTitle[2] templateTitle[3] was below templateYValue[min] templateScale .
This graph depicts the total templateTitle[0] templateTitle[1] templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] 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 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 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 approximately templateYValue[6] templateScale templateYLabel[0] .
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] amounted to approximately templateYValue[6] templateScale templateYLabel[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 templateYValue[idxmax(X)] templateScale .
This statistic gives information on the templateTitle[1] templateTitle[3] rate in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , templateYValue[idxmin(X)] templateScale of the Indonesian templateYLabel[1] were using the templateTitle[1] . In templateXValue[max] , this figure is projected to grow to templateYValue[idxmax(X)] templateScale .
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 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 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 templateYLabel[0] of templateYLabel[3] of templateYLabel[1] templateYLabel[2] in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , about templateYValue[idxmin(X)] templateYLabel[3] were templateTitle[5] .
This statistic shows the templateYLabel[0] of templateTitleSubject[0] worldwide from templateXValue[min] to templateXValue[max] . Global hotel company templateTitleSubject[0] International generated approximately templateYValue[0] templateScale templateYLabel[2] templateYLabel[3] in templateYLabel[0] in templateXValue[max] .
The statistics depicts the templateYLabel[0] of registered templateTitle[0] templateTitle[1] templateYLabel[1] in the 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 the templateTitleSubject[0] according to the International templateTitle[0] templateTitle[1] Federation .
In templateXValue[max] , templateTitleSubject[0] reported a templateYLabel[0] templateYLabel[1] figure of about templateYValue[0] templateScale templateYLabel[3] templateYLabel[4] . In general , annual templateYLabel[0] templateYLabel[1] figures report a company 's revenues minus expenses over the course of a templateXLabel[0] and are highly affected by both expenses and corporate strategy . Changes between years are often quite variable as they include the expenses incurred in the form of large long-term investments in the expense column in addition to the usual yearly operating costs .
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 templateYLabel[0] templateYLabel[1] templateYLabel[2] of the Finnish templateTitle[4] templateTitle[5] templateTitle[6] from templateXValue[min] to templateXValue[max] . The highest templateYLabel[3] ever reached was templateYValue[min] in templateXValue[idxmin(Y)] . Rank templateYValue[max] was the lowest result of the templateTitle[6] , which was reached in templateXValue[idxmax(Y)] .
The statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[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 represents the projected templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitleSubject[0] ( UK ) forecasted from templateXValue[min] to templateXValue[max] . According to the figures as of templateXValue[min] , it can be seen that the templateYLabel[0] of templateYLabel[1] templateYLabel[2] was forecasted to templatePositiveTrend from approximately templateYValue[idxmin(X)] templateScale in templateXValue[idxmin(Y)] to a total of templateYValue[idxmax(X)] templateScale by the templateXLabel[0] templateXValue[idxmax(Y)] . These figures would lead to an average of templateYValue[2] templateScale templateYLabel[2] per annum templateTitle[6] the years templateXValue[min] and templateXValue[max] .
This statistic shows the templateYLabel[0] of templateYLabel[3] of templateYLabel[1] templateYLabel[2] in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , about templateYValue[idxmax(X)] templateYLabel[3] were templateTitle[5] .
The statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] Emirates ' ( UAE ) from templateXValue[min] to templateXValue[6] , in templateYLabel[2] to gross domestic product , with projections up until templateXValue[max] . In templateXValue[6] , the templateTitleSubject[0] Emirates ' templateYLabel[0] templateYLabel[1] amounted to approximately templateYValue[0] templateScale of the country 's gross domestic product .
This statistic shows the total templateTitle[0] templateYLabel[0] in the templateTitle[2] from templateXValue[min] to templateXValue[max] . In templateXValue[4] , about 5.91million metric tons of templateTitle[0] were produced in the templateTitle[2] , up from templateYValue[2] templateScale metric tons in templateXValue[2] .
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[max] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateYLabel[3] in the templateTitle[3] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , around 8.32 templateScale people were templateYLabel[3] in the templateTitle[3] .
In templateXValue[max] , Chinese exports of templateTitle[2] templateTitle[3] to the templateTitle[0] amounted to about templateYValue[0] templateYValue[idxmax(X)] templateYLabel[3] templateYLabel[4] ; a significant templatePositiveTrend templateTitle[4] templateXValue[min] levels , when templateTitle[1] templateTitle[4] templateTitleSubject[0] amounted to about templateYValue[idxmin(X)] templateScale templateYLabel[3] templateYLabel[4] . templateYLabel[3] exports to templateTitleSubject[0] Compared to templateYLabel[3] templateTitle[1] templateTitle[4] templateTitleSubject[0] , the value of templateYLabel[3] exports to templateTitleSubject[0] in templateXValue[max] amounted to 106.63 templateScale templateYLabel[3] templateYLabel[4] . templateTitleSubject[0] is the templateTitle[0] ' largest trading partner , while templateTitleSubject[0] was the templateTitle[0] third largest templateTitle[3] export market .
This statistic shows the share of internet users in the templateTitleSubject[0] who were using templateTitle[0] templateTitle[1] as of 2018 , sorted templateTitle[7] templateTitle[8] . We Are Flint found that templateYValue[max] templateScale of internet users aged from 18 to 34 years used the social networking site 's templateTitle[1] platform .
This statistic gives information on the templateTitle[1] templateTitle[2] of templateTitle[3] templateTitle[4] in templateTitleSubject[0] as of 2019 . During this period of time , it was found that templateYValue[max] templateScale of templateTitle[3] templateTitle[4] in the Latin American country were aged between 25 and 34 templateXValue[0] .
This statistic shows templateTitleSubject[0] templateTitle[1] templateYLabel[0] templateYLabel[1] templateYLabel[2] from 2000 to templateTitleDate[0] , based on templateTitle[7] volume . templateTitleSubject[0] templateTitle[1] templateYLabel[1] templateYLabel[2] reached templateYValue[11] in 2003 . In 2011 , the German automaker had a templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateYValue[3] templateScale .
The statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateTitle[2] a templateTitleSubject[0] subscription in the templateTitle[4] in templateXValue[min] and templateXValue[max] . In the presented time period , the templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateTitle[2] templateTitleSubject[0] templatePositiveTrend from templateYValue[idxmin(X)] templateScale to templateYValue[idxmax(X)] templateScale .
templateTitle[0] templateTitle[1] templateYLabel[0] in the templateTitle[3] templatePositiveTrend by 21.8 templateScale in templateXValue[max] compared to templateXValue[1] , templateTitle[4] templateYValue[1] templateScale to 107 templateScale templateTitle[3] templateYLabel[3] . This is the first time the figure has surpassed 100 templateScale templateYLabel[3] , owing to the emergence of new channels and formats including virtual and augmented reality , podcasts and OTT content as well as strong growth templateTitle[4] existing channels such as mobile . templateTitle[0] templateTitle[1] at a glance Search is dominating the internet templateTitle[1] scene among the remaining formats in the templateTitle[3] , with a 45 templateScale share .
The statistic shows the templateYLabel[2] templateTitleSubject[0] generated from its templateYLabel[0] templateYLabel[1] deal from the templateXValue[last] season to the templateXValue[0] season . In the templateXValue[0] season , templateTitleSubject[0] received templateYValue[max] templateScale templateYLabel[4] from its templateYLabel[0] sponsor SportPesa .
This statistic represents templateTitleSubject[0] 's templateYLabel[0] between the templateXValue[min] and templateXValue[max] fiscal years . In the templateXValue[max] fiscal templateXLabel[0] , the manufacturer of regional aircraft , business jets , mass transportation equipment and recreational equipment had revenues of templateYValue[idxmax(X)] templateScale templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] templateTitle[1] templateYLabel[1] templateTitle[3] from templateXValue[last] to templateXValue[1] , as well as a projection for templateXValue[0] . In templateXValue[min] , a templateYLabel[0] of templateYValue[1] templateYLabel[2] templateYLabel[3] of raisins were produced templateTitle[3] .
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[1] templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[1] templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to templateYValue[idxmax(X)] templateYLabel[3] templateYLabel[4] .
This statistic shows templateTitleSubject[0] ' templateYLabel[0] and templateYLabel[1] templateYLabel[2] from the fiscal templateXLabel[0] of templateXValue[min] to the fiscal templateXLabel[0] of templateXValue[max] . In the fiscal templateXLabel[0] of templateXValue[max] , the company incurred around templateYValue[idxmax(X)] templateScale templateYLabel[4] templateYLabel[5] in templateYLabel[0] and templateYLabel[1] templateYLabel[2] .
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] amounted to approximately templateYValue[6] templateScale templateYLabel[0] .
The statistic shows the templateYLabel[1] of the templateTitle[1] templateTitle[2] templateTitle[3] ( VPN ) templateYLabel[0] worldwide , from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitleSubject[0] VPN templateYLabel[0] is forecast to reach templateYValue[idxmax(X)] templateScale templateYLabel[3] templateYLabel[4] . templateTitle[1] templateTitle[2] networks are designed to extend a templateTitle[3] securely from a templateTitle[2] location , such as a business or home , across a public templateTitle[3] , as if the templateTitle[3] were directly linked .
The statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of templateTitleSubject[0] templatePositiveTrend by about templateYValue[idxmax(X)] templateScale .
This statistic shows total domestic consumption on templateTitle[1] , templateTitle[3] and templateTitle[2] in the templateTitleSubject[0] ( U ) K from templateXValue[min] to templateXValue[max] . In templateXValue[max] , consumer spending was at approximately templateYValue[max] templateScale British pounds . Spending templatePositiveTrend during the period in consideration from around templateYValue[12] templateScale British pounds in templateXValue[min] .
This statistic shows the templateScale of conceptions of under 16 girls templateYLabel[2] in templateYLabel[3] in templateTitleSubject[0] and templateTitleSubject[1] from templateXValue[min] to templateXValue[max] . The templateYLabel[0] of terminated templateYLabel[1] in this age group has remained around the same amount over the provided time period . In templateXValue[max] , approximately templateYValue[idxmax(X)] templateScale of the templateYLabel[1] led to 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 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 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 depicts 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 statistic displays the templateYLabel[0] templateYLabel[1] in the state of templateTitleSubject[0] from templateTitleDate[min] to templateTitleDate[max] . In templateTitleDate[max] , templateYLabel[0] in templateTitleSubject[0] was templateYValue[min] templateScale .
This statistic shows the templateYLabel[0] of the templateTitleSubject[0] from the templateXValue[last] season to the templateXValue[0] season . According to Deloitte , in the templateXValue[0] season the templateYLabel[0] of the Spanish football club templatePositiveTrend by 22 templateScale , to templateYValue[max] templateScale templateYLabel[2] , with record matchday and commercial templateYLabel[0] for a football club . templateTitleSubject[0] - additional information templateTitleSubject[0] 's brand and team value templatePositiveTrend significantly in 2014 , thanks in part to the high-profile signing of Luis Suarez from Liverpool templateTitleSubject[0] in 2014 .
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] .
This statistic presents 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] .
The statistic shows templateTitleSubject[0] templateTitle[1] templateYLabel[0] templateYLabel[1] in templateYLabel[2] to templateYLabel[3] between templateXValue[min] and templateXValue[6] , with projections up until templateXValue[max] . A positive value indicates a templateYLabel[0] surplus , a negative value indicates a trade deficit . In templateXValue[6] , templateTitleSubject[0] templateTitle[1] trade deficit amounted to around 7.23 templateScale of templateYLabel[3] .
The statistic shows the templateYLabel[0] of templateYLabel[1] with consultative status with ECOSOC from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[idxmax(X)] global organizations had consultative status with ECOSOC . Non-governmental organizations As shown in the statistic above , the templateYLabel[0] of non-governmental organizations , also known as templateYLabel[1] , has significantly templatePositiveTrend over the last decades .
The statistic depicts the templateYLabel[0] of the templateTitleSubject[0] Canada company from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the health templateTitle[1] chain is expected to generate a templateYLabel[0] of templateYValue[idxmax(X)] templateScale templateYLabel[2] templateYLabel[3] . In templateXValue[1] , the templateTitleSubject[0] based company operated 307 clubs .
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] in templateTitleSubject[0] 's templateYLabel[0] is relatively low and stable at around templateYValue[0] templateScale which means the population is experiencing close to full employment .
The statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] and templateXValue[max] . According to the source , the data are ILO estimates . In templateXValue[max] , the estimated templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] was at templateYValue[idxmax(X)] templateScale .
The statistic presents the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] of templateTitleSubject[0] amounted to approximately templateYValue[idxmax(X)] templateScale templateYLabel[3] templateYLabel[4] .
The graph 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[4] 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] of the templateTitleSubject[0] Leafs from the templateXValue[last] season to the templateXValue[0] season . The templateYLabel[0] of the templateTitleSubject[0] Leafs amounted to templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] in the templateXValue[idxmax(Y)] season .
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 represents the expenditure of templateTitleSubject[0] on research and development from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] spent some templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] on research and development . Abbot was a U.S.-based global pharmaceutical and healthcare products company , headquartered in Chicago , Illinois .
This statistic shows the templateYLabel[0] of different templateTitle[8] templateTitleSubject[0] templateYLabel[1] templateTitle[6] from templateXValue[min] to templateXValue[max] . templateTitleSubject[0] is one of the largest global pharmaceutical companies . In templateXValue[max] , templateTitleSubject[0] reported approximately templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] of templateYLabel[0] templateYLabel[1] .
This statistic gives information on templateTitle[0] templateTitle[1] sales as templateScale of the templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitle[0] templateTitle[1] accounted for templateYValue[idxmax(X)] templateScale of the templateTitle[3] and development .
The statistic shows the templateYLabel[0] of templateTitleSubject[0] restaurants in templateTitleSubject[1] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[idxmax(X)] incidents of templateYLabel[0] templateTitle[1] templateYLabel[2] 100,000 templateYLabel[4] in templateTitleSubject[0] .
The statistic shows the templateYLabel[0] templateYLabel[1] at templateYLabel[2] in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the average templateYLabel[0] templateYLabel[1] at templateYLabel[2] among the templateTitleSubject[0] population was about templateYValue[0] templateYValue[idxmax(X)] .
This statistic shows the templateTitle[0] templateTitle[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[7] , with projections up until templateXValue[max] . In templateXValue[7] , the templateTitle[0] templateTitle[1] of templateTitleSubject[0] amounted to approximately templateYValue[7] templateScale templateYLabel[0] .
This statistic gives information on the templateYLabel[0] of templateTitleSubject[0] in the templateTitle[3] as of 2018 , templateTitle[5] templateTitle[6] . During this month , templateYValue[0] templateScale of templateTitleSubject[0] users were aged between 18 and 24 .
In templateXValue[max] , the templateYLabel[1] templateYLabel[2] of hospitals in the templateTitleSubject[0] stood at templateYValue[idxmax(X)] templateScale . Hospitals are a cornerstone of health services in any country and also contribute considerably to the economy . Nevertheless , the number of hospitals in the templateTitleSubject[0] has templateNegativeTrend in recent years .
The statistic shows the templateYLabel[0] of templateYLabel[1] due to templateTitle[0] in the templateTitle[1] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were a total of templateYValue[idxmax(X)] templateYLabel[1] reported due to templateTitle[0] in the templateTitle[1] .
This graph depicts the total templateTitle[0] templateTitle[1] templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] 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)] .
This statistic shows the templateYLabel[0] of templateTitleSubject[0] of templateTitleSubject[0] ( LoL ) monthly active templateYLabel[2] worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[max] , LoL had templateYValue[idxmax(X)] templateScale templateTitleSubject[0] , up from templateYValue[1] templateScale in templateXValue[1] . Being one of the most prominent eSports games , in templateXValue[1] LoL championship finals attracted 36 templateScale viewers worldwide .
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] templateYLabel[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections until templateXValue[max] . In templateXValue[6] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was around templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] . In a ranking of templateYLabel[1] to GDP per country , templateTitleSubject[0] is currently ranked second .
This statistic provides information on the templateTitle[1] templateTitle[3] rate in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , templateYValue[idxmin(X)] templateScale of the Singaporean templateYLabel[1] were using the templateTitle[1] . In templateXValue[max] , this figure is projected to grow to templateYValue[idxmax(X)] templateScale .
This statistic represents the templateTitle[3] templateTitle[4] templateYLabel[0] of the British automotive company templateTitleSubject[0] Rover from financial templateXLabel[0] templateXValue[min] to financial templateXLabel[0] templateXValue[max] in templateScale British pounds . Between templateXValue[min] and templateXValue[1] , the company made a templateTitle[4] templateYLabel[0] higher than templateYValue[7] templateScale templateYLabel[2] templateYLabel[3] in every templateXLabel[0] . However , the most recent financial templateXLabel[0] suggested a more difficult business climate , as the company recorded its first templateTitle[4] loss in this period of consideration , at 3.6 templateScale templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . Global hotel company templateTitleSubject[0] Corporation generated approximately templateYValue[0] templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] in templateYLabel[0] in templateXValue[max] .
The statistic shows the templateYLabel[0] of the templateTitleSubject[0] franchise from the 2001/02 season to the 2018/19 season . In 2018/19 , the estimated templateYLabel[0] of the National Basketball Association franchise amounted to templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] .
This statistic provides information on the worldwide of templateTitleSubject[0] templateTitle[0] templateYLabel[2] as of 2016 , sorted by templateTitle[1] group . During the survey period it was found that templateYValue[0] templateScale of templateTitle[0] templateYLabel[2] in the templateTitle[3] were aged between 13 and 17 years . As of spring 2017 , templateTitle[0] ranks as the most important social network of teens in the templateTitle[3] , ahead of other platforms such as Instagram , Twitter or Facebook .
In templateTitleDate[0] , the movie with the most Oscar templateYLabel[1] was 'Joker ' _ , with templateYValue[max] in total . 'Joker ' was directed templateTitle[4] Todd Philips , whose work includes movies within 'The Hangover ' franchise , 'Due Date ' _ , and 'War Dogs ' _ . Philips also produced major hit ' A Star is Born ' _ .
The statistic shows the total templateYLabel[0] of templateTitle[3] worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the total templateYLabel[0] from templateTitle[3] amounted to templateYValue[idxmax(X)] templateScale templateYLabel[2] templateYLabel[3] .
templateTitleSubject[0] templateTitle[1] employment was around 19,500 workers as of templateXValue[max] . templateTitleSubject[0] templateTitle[1] company goals are to create solutions to food safety and access , clean water , clean air and fuel , health care , and sustainable living . templateTitleSubject[0] Company Overview templateTitleSubject[0] is one of the world templateTitle[1] leading chemicals , plastics , and refining companies globally .
This statistic presents the templateYLabel[0] of templateYLabel[1] of templateTitle[0] templateTitle[1] in the templateTitle[2] in templateTitleDate[0] , templateTitle[4] templateTitle[5] of templateTitle[6] . In templateTitleDate[0] , a total of templateYValue[0] children aged templateXValue[0] and templateXValue[0] were abused in the templateTitle[2] .
This statistic shows the estimated templateTitle[1] amount of strawberries produced in the templateTitle[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , around templateYValue[0] templateScale templateYLabel[2] of strawberries were produced in the templateTitle[0] .
This graph depicts the total templateTitle[0] templateTitle[1] templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] 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 timeline shows the templateTitle[0] templateTitle[2] templateYLabel[0] templateYLabel[1] templateYLabel[2] in the templateTitle[1] templateTitle[6] templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitle[2] templateYLabel[2] amounted to about templateYValue[idxmax(X)] templateYLabel[3] templateYLabel[4] templateYLabel[0] templateYLabel[1] .
The templateYLabel[0] of templateTitleSubject[0] Inc. , the Montreal-based dairy company , reached approximately templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] in templateXValue[idxmax(Y)] . Their templateYLabel[0] has gradually templatePositiveTrend year-on-year from templateYValue[min] templateScale templateYLabel[2] templateYLabel[3] in templateXValue[idxmin(Y)] . templateTitleSubject[0] Inc. templateTitleSubject[0] Inc. produces , markets and distributes products .
This statistic shows the projected templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] 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] .
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 displays the templateYLabel[0] of templateTitle[1] , templateYLabel[2] and templateYLabel[3] in the United Kingdom ( templateTitleSubject[0] ) from templateXValue[min] to templateXValue[max] . There were templateYValue[min] of these establishments , compared to almost 61,000 in templateXValue[min] .
In templateXValue[max] , templateTitleSubject[0] had a templateTitle[0] templateTitle[1] of about templateYValue[max] people templateYLabel[1] templateYLabel[2] templateYLabel[3] . The country has one of the lowest templateTitle[0] densities in the world , as the total templateTitle[0] is very small in relation to the dimensions of the land . templateTitleSubject[0] has a relatively stable templateTitle[0] size , consistently with a growth of around one templateScale compared to the previous templateXLabel[0] .
This statistic shows the templateTitle[0] templateTitle[1] of the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . The templateTitle[1] is based on data from the most recent census adjusted by the components of templateTitle[1] change produced since the last census , or based on templateTitle[1] registers . At the beginning of templateXValue[max] , the templateTitle[0] templateTitle[1] of the templateTitleSubject[0] amounted to approximately templateYValue[max] templateYValue[idxmax(X)] templateYLabel[0] .
This statistic represents the development 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 displays the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] in templateXValue[min] and templateXValue[4] , with a forecast to templateXValue[max] . In templateXValue[min] , templateYLabel[1] templateYLabel[2] made in templateTitleSubject[0] amounted to roughly templateYValue[max] thousands .
The timeline shows the templateYLabel[0] car production of templateTitleSubject[0] templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] templateYLabel[2] around templateYValue[idxmax(X)] templateScale templateYLabel[0] templateYLabel[1] templateTitle[4] . templateTitleSubject[0] is ranked among the 15 largest automakers templateTitle[4] .
This statistic represents the templateTitle[2] templateTitle[3] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] through templateXValue[max] . templateTitleSubject[0] is estimated to consume around templateYValue[4] templateScale more templateTitle[2] from templateXValue[4] to templateXValue[3] . templateTitle[2] is an important building material .
This statistic provides information on the templateTitle[1] templateTitle[3] rate in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , templateYValue[idxmin(X)] templateScale of the Singaporean templateYLabel[1] were using the templateTitle[1] . In templateXValue[max] , this figure is projected to grow to templateYValue[idxmax(X)] templateScale .
This statistic represents the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitleSubject[0] of templateTitleSubject[0] generated templateYLabel[0] templateYLabel[1] worth approximately templateYValue[max] templateScale templateYLabel[3] .
The statistic above presents templateYLabel[0] data for the templateTitleSubject[0] templateTitle[2] templateTitle[3] and sound templateTitle[4] industry from templateXValue[min] to templateXValue[max] . In 2019 , this industry employed an estimated templateYValue[0] templateYValue[idxmax(X)] people , down slightly from templateYValue[1] recorded in the previous templateXLabel[0] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] templateTitle[3] templateTitleSubject[0] worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the global templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] templateTitle[3] templateTitleSubject[0] was about templateYValue[0] templateScale templateYLabel[3] dollars.H templateTitle[3] MH templateTitle[3] templateTitleSubject[0] is a leading global fashion company with strong values and a clear business concept . templateTitleSubject[0] templateTitle[3] templateTitleSubject[0] constantly strives to have the best customer offering in each individual market – which includes giving customers the best price .
This statistic shows the templateTitle[0] templateTitle[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . The templateTitle[0] templateTitle[1] is the average templateYLabel[0] of templateYLabel[2] templateYLabel[1] by one templateYLabel[4] while being of child-bearing age . In templateXValue[max] , templateTitleSubject[0] 's templateTitle[0] templateTitle[1] amounted to templateYValue[min] templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
The statistic shows the templateTitle[0] templateTitle[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In the templateXLabel[0] templateXValue[max] , about templateYValue[idxmax(X)] templateYLabel[1] were templateYLabel[2] templateYLabel[3] templateYLabel[4] of childbearing age . Despite a templateNegativeTrend templateTitle[0] templateTitle[1] , the total population of templateTitleSubject[0] is expected to templatePositiveTrend over the next few years .
The statistic depicts the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[1] templateTitle[2] , a franchise of the National Football League , templateTitle[4] templateXValue[min] to templateXValue[max] . In the templateXValue[max] season , the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[1] templateTitle[2] were at templateYValue[idxmax(X)] templateScale templateYLabel[3] templateYLabel[4] .
The templateTitle[0] engine templateTitle[1] of templateTitle[2] registered in templateTitleSubject[0] templatePositiveTrend between templateXValue[min] and templateXValue[max] . By templateXValue[max] , templateTitle[3] with a volume of templateYValue[idxmax(X)] templateYLabel[0] centimeters had become the norm , an templatePositiveTrend of nearly 40 templateScale since the beginning of the reporting period . Most common engine templateTitle[1] As of templateXValue[idxmax(Y)] , most registered templateTitle[2] had an engine templateTitle[1] either between 51 and 125 templateYLabel[0] centimeters or greater than 1,000 templateYLabel[0] centimeters .
In templateXValue[max] , the templateYLabel[0] templateYLabel[1] templateYLabel[2] in the templateTitle[0] was templateYValue[min] templateYValue[idxmax(X)] of every 1,000 templateYLabel[6] . This is a significant templateNegativeTrend from templateXValue[min] , when templateYLabel[0] templateYLabel[1] was at templateYValue[idxmin(X)] deaths out of every 1,000s templateYLabel[6] . What is templateYLabel[0] templateYLabel[1] ? The templateYLabel[0] templateYLabel[1] templateYLabel[2] is the number of deaths of babies under the age of one templateYLabel[3] 1,000 templateYLabel[5] templateYLabel[6] .
There is no use denying that the way people consume newspapers and magazines has changed . As of templateXValue[max] , more than two thirds of individuals in templateTitleSubject[0] were either reading or downloading templateTitle[0] templateTitle[1] , newspapers or magazines . This was more than three times the templateYLabel[0] of templateTitle[0] readers as compared to templateXValue[min] .
The statistic shows 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)] templateScale templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] .
The statistic shows the templateTitleSubject[0] of the templateYLabel[0] templateYLabel[1] since the birth of Christ . templateYValue[max] templateScale people were living on earth in templateXValue[idxmax(Y)] . Additional information on templateYLabel[0] templateYLabel[1] The global templateYLabel[1] has risen dramatically in the last 100 years from templateYValue[3] templateScale in templateXValue[3] to surpassing templateYValue[max] templateScale in 2011 .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[0] templateYLabel[1] 100,000 population in the templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , about templateYValue[idxmax(X)] homicides templateTitle[1] templateTitle[2] templateYLabel[1] 100,000 population were committed in the templateTitle[4] .
According to the Dutch business registry , the templateTitleSubject[0] templatePositiveTrend around 600 new small and medium enterprises between early templateXValue[1] and early templateXValue[max] . The source defined SME ( or mkb , a Dutch abbreviation of midden- en kleinbedrijf ) as a company having between two to 249 employees , as well as companies with one employee that are not classified as a freelancer/self-employed person . templateYLabel[1] were the templateTitleSubject[0] ' second largest type of business enterprise .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] templateTitle[1] templateYLabel[0] templateYLabel[1] amounted to approximately templateYValue[0] templateScale templateYLabel[3] templateYLabel[4] . templateTitleSubject[0] is a United States-based multinational oil and gas corporation headquartered in Irving , Texas .
This statistic shows the templateYLabel[0] of goods and services from the templateTitle[0] between templateXValue[min] and templateXValue[max] , as a templateScale of templateYLabel[2] . In templateXValue[max] , the templateScale of templateTitle[0] templateYLabel[0] of the templateYLabel[2] amounted to templateYValue[idxmax(X)] templateScale .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateYLabel[3] templateTitle[2] templateTitle[3] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] 's templateYLabel[0] templateYLabel[1] were around templateYValue[min] templateScale templateYLabel[3] templateYLabel[4] .
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] .
The statistic represents the templateYLabel[0] templateYLabel[1] of the sports templateTitle[2] , a franchise of the National Football League , templateTitle[4] templateXValue[min] to templateXValue[max] . In the templateXValue[max] season , the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[1] templateTitle[2] were at templateYValue[idxmax(X)] templateScale templateYLabel[3] templateYLabel[4] .
This statistic represents the templateYLabel[0] templateYLabel[1] that the templateTitleSubject[0] ( templateTitleSubject[1] ) is predicted to make to the European Union templateTitle[4] from the templateTitleSubject[1] financial templateXLabel[0] templateTitle[8] to templateTitle[9] . The peak of templateYLabel[1] is expected to be in templateXValue[0] at templateYValue[max] templateScale British pounds .
The statistic shows the templateYLabel[0] of the templateTitleSubject[0] franchise from the 2001/02 season to the 2018/19 season . In 2018/19 , the estimated templateYLabel[0] of the National Basketball Association franchise amounted to templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] . templateTitleSubject[0] The templateTitleSubject[0] are a professional basketball team of the National Basketball Association ( NBA ) , entering the league as an expansion team in 1968 .
This graph shows the templateTitle[0] templateTitle[1] in the federal state of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitle[1] of templateTitleSubject[0] stood at templateYValue[idxmax(X)] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] of land area .
This statistic represents the templateTitle[0] templateYLabel[0] of templateTitle[1] templateYLabel[3] templateYLabel[4] in templateTitleSubject[0] from the templateXLabel[0] templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitle[0] templateYLabel[0] of templateTitle[1] templateYLabel[3] templateYLabel[4] in templateTitleSubject[0] was about templateYValue[1] kilowatts templateYLabel[3] hour .
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] .
In templateXValue[max] , foreign templateYLabel[0] templateTitle[1] ( FDI ) from the templateTitle[3] to other countries amounted to templateYValue[0] templateYValue[idxmax(X)] templateYLabel[3] templateYLabel[4] . Foreign templateYLabel[0] templateTitle[1] reflects the ownership of business from templateYValue[17] country in another country . It differs from a traditional templateTitle[1] in companies located templateTitle[4] by the ownership factor in case of FDI .
This graph depicts the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] 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] are owned by Dee and Jimmy Haslam .
This statistic illustrates a templateTitleSubject[0] of the templateYLabel[0] templateTitle[2] of templateTitle[3] templateTitle[4] install base templateTitle[5] from templateXValue[min] to templateXValue[max] . The templateYLabel[0] templateTitle[2] of templateTitle[3] templateTitle[4] was templateYValue[idxmin(X)] templateYLabel[2] in templateXValue[idxmax(Y)] . It is projected to be templateYValue[idxmax(X)] templateYLabel[2] in templateXValue[max] .
This statistic displays the templateYLabel[0] of templateYLabel[1] of templateTitleSubject[0] ( UK ) templateTitle[2] templateTitle[3] from templateTitleDate[min] to templateTitleDate[max] . templateYValue[last] templateYLabel[1] were recorded in templateXValue[last] , with numbers templatePositiveTrend during the following years . Though by templateXValue[0] numbers had templateNegativeTrend to templateYValue[min] templateYLabel[1] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[3] templateTitle[4] templateTitle[5] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of this templateTitle[5] came to around templateYValue[0] templateScale templateYLabel[3] templateYLabel[4] . templateYLabel[3] templateTitle[4] templateTitle[5] The templateTitle[4] templateTitle[5] in the templateTitle[3] is a huge sector – especially when oil and gas extraction is included .
In templateXValue[max] , the templateTitle[3] templateTitle[4] amount of individual templateTitle[1] templateTitle[2] templateTitle[6] templateTitle[7] in the templateTitle[0] was about templateYValue[0] templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] . templateTitle[1] templateTitle[2] in the templateTitle[0] The economic and social purpose of templateTitle[1] templateTitle[2] is directed at handling financial guarantees to individuals and families . It provides a safety net to families in case of an unforeseen death of a bread-winning family member .
This statistic displays the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateTitleDate[min] to templateTitleDate[max] . In templateTitleDate[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was templateYValue[min] templateScale . You can access the monthly templateYLabel[0] templateYLabel[1] for the country here .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateYLabel[2] templateYLabel[3] templateYLabel[4] for templateTitle[3] in the country of America from templateTitleDate[min] to templateTitleDate[max] . In templateTitleDate[max] , the templateYLabel[0] change of the PPI amounted to templateYValue[0] templateScale . The PPI for templateTitle[3] stood at 199.8 in templateTitleDate[max] .
The statistic shows the templateYLabel[0] of the templateTitleSubject[0] Leafs from the templateXValue[last] season to the templateXValue[0] season . The templateYLabel[0] of the templateTitleSubject[0] Leafs amounted to templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] in the templateXValue[idxmax(Y)] season .
templateTitleSubject[0] posted a profit of templateYValue[0] templateScale templateYLabel[2] templateYLabel[3] in templateXValue[max] , down from templateYValue[1] templateScale templateYLabel[2] templateYLabel[3] in templateXValue[1] . In the same time period , operating income of the bank templatePositiveTrend from 63.6 templateScale templateYLabel[2] templateYLabel[3] to 71 templateScale templateYLabel[2] templateYLabel[3] . templateTitleSubject[0] bank templateTitleSubject[0] is a British banking and financial services company and one of the major players on the global banking market .
In templateXValue[max] , the templateTitleSubject[0] 's templateYLabel[0] templateYLabel[1] as a templateYLabel[2] of Gross Domestic Product was templateYValue[min] templateYValue[idxmax(X)] . Since templateXValue[min] , the templateTitleSubject[1] 's templateYLabel[0] templateYLabel[1] was at it 's highest in templateXValue[34] when templateYValue[max] templateScale of the templateTitleSubject[1] 's templateYLabel[3] was spent on the military . After templateXValue[idxmax(Y)] , templateYLabel[0] templateYLabel[1] declined gradually , and then at a much faster pace after the end of the Cold War in templateXValue[27] , with the templateTitleSubject[0] only just reaching the templateYValue[min] templateScale benchmark set by NATO by templateXValue[idxmin(Y)] templateXValue[idxmin(Y)]
This statistic represents templateTitleSubject[0] 's templateYLabel[0] and templateYLabel[1] templateYLabel[2] from the fiscal templateXLabel[0] of templateXValue[min] to the fiscal templateXLabel[0] of templateXValue[max] . In the fiscal templateXLabel[0] of templateXValue[max] , the company incurred around templateYValue[idxmax(X)] templateScale templateYLabel[4] templateYLabel[5] in templateYLabel[0] and templateYLabel[1] templateYLabel[2] .
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 . templateTitleSubject[0] 's population and economy The Republic of templateTitleSubject[0] is a sovereign state archipelago in Southeast Asia , composed of more than 17,000 islands .
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 statistic shows the number of templateTitle[0] templateTitle[2] by templateTitle[1] in templateTitleSubject[0] and templateTitleSubject[1] from templateXValue[last] to templateXValue[0] . During this period , the number of templateTitle[0] templateTitle[2] by templateTitle[1] fluctuated , peaking in templateXValue[2] at templateYValue[max] templateTitle[2] . By templateXValue[0] it templateNegativeTrend down to templateYValue[last] templateTitle[2] .
The statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitle[3] from templateXValue[min] to templateXValue[max] . A declining tendency could be observed as the templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateNegativeTrend from templateYValue[idxmin(X)] in templateXValue[idxmax(Y)] to 6,146 in templateXValue[max] .
The statistic shows a templateTitleSubject[0] for the templateYLabel[0] templateTitle[1] templateTitle[2] templateYLabel[1] from the templateXValue[last] season to the templateXValue[0] season . In the templateXValue[0] season , the templateYLabel[0] templateYLabel[1] was at templateYValue[min] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This statistic shows the degree of templateYLabel[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] and details the templateScale of the entire templateYLabel[2] , living in templateYLabel[1] areas . In templateXValue[max] , templateYValue[idxmax(X)] templateScale of the total templateYLabel[2] in templateTitleSubject[0] lived in cities .
As of templateXValue[max] , the templateYLabel[0] templateYLabel[1] wage of templateTitleSubject[0] was templateYValue[max] thousand templateYLabel[3] per templateXLabel[0] , a growth of just over 5.8 thousand templateYLabel[3] when compared with templateXValue[min] . From templateXValue[min] until templateXValue[11] , templateYLabel[2] templatePositiveTrend by less than a thousand templateYLabel[3] , with wage growth accelerating mainly in the period after templateXValue[8] . The 607 Euro templatePositiveTrend recorded between templateXValue[8] and templateXValue[7] was the largest wage rise seen during this period .
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] in templateTitleSubject[0] 's templateYLabel[0] is relatively low and stable at around templateYValue[0] templateScale which means the population is experiencing close to full employment .
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] .
Approximately templateYValue[max] templateScale templateYLabel[1] were recorded at travel templateTitle[3] in templateTitleSubject[0] in templateXValue[max] International tourism was the highest contributor , with around two thirds of templateYLabel[1] in visitor templateTitle[3] coming from a foreign country . templateTitleSubject[0] tourism growth Since templateXValue[9] international visitor numbers to templateTitleSubject[0] have steadily templatePositiveTrend . Including both overnight and same-day visitors , figures reached over 30 templateScale by templateXValue[1] .
This statistic displays 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] templateYLabel[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[6] in templateYLabel[2] to the templateTitle[4] templateTitle[5] templateTitle[6] ( templateYLabel[3] ) , with projections up until templateXValue[max] . In templateXValue[6] , templateTitleSubject[0] 's templateYLabel[0] templateYLabel[1] amounted to approximately templateYValue[max] templateScale of the templateYLabel[3] .
In the fall semester templateXValue[max] , templateYValue[idxmax(X)] templateYLabel[1] were templateTitle[1] in universities and other higher education institutions in templateTitleSubject[0] . Since 2000 , the templateYLabel[0] of individuals in templateTitleSubject[0] with an upper secondary education templatePositiveTrend , while the individuals without templateNegativeTrend . In templateXValue[max] , 21.7 templateScale of the female population had an upper secondary education degree of three years and 24.9 templateScale of the male population .
templateTitleSubject[0] is an international pharmaceutical company based out of Germany . As of templateXValue[max] , the company had a total of templateYValue[idxmax(X)] templateYLabel[1] globally . This is a significant templatePositiveTrend from the previous years .
This statistic shows the gross domestic product ( templateYLabel[0] ) of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] 's templateYLabel[0] was templateYValue[0] templateScale templateYLabel[2] templateXValue[6] templateYLabel[4] templateYLabel[5] .
This statistic shows the templateYLabel[0] of templateYLabel[1] of the templateTitle[3] templateTitle[2] in templateTitleSubject[1] , the United Kingdom ( templateTitleSubject[0] ) from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were around templateYValue[idxmax(X)] templateScale templateYLabel[1] in the templateTitleSubject[0] , an templatePositiveTrend of 44 templateScale templateYLabel[1] on the previous templateXLabel[0] .
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[idxmax(X)] templateYLabel[4] templateXValue[6] templateYLabel[6] templateYLabel[7] .
This statistic shows the templateTitle[1] templateYLabel[0] of templateYLabel[1] enrolled in Canadian colleges in templateTitle[7] , templateTitle[4] templateTitle[5] templateTitle[6] . In the academic templateXLabel[0] templateTitle[7] , around templateYValue[max] templateYLabel[1] aged between templateXValue[0] and templateXValue[1] templateXValue[0] were enrolled in Canadian colleges .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] templateTitle[3] templateTitleSubject[0] worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the global templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] templateTitle[3] templateTitleSubject[0] was about templateYValue[0] templateScale templateYLabel[3] dollars.H templateTitle[3] MH templateTitle[3] templateTitleSubject[0] is a leading global fashion company with strong values and a clear business concept . templateTitleSubject[0] templateTitle[3] templateTitleSubject[0] constantly strives to have the best customer offering in each individual market – which includes giving customers the best price .
This statistic show the templateYLabel[1] templateTitle[2] templateTitle[3] templateYLabel[2] between templateXValue[min] and templateXValue[max] .
The statistic depicts the templateYLabel[0] of the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of the Major League Baseball franchise amounted to templateYValue[idxmax(X)] templateScale templateYLabel[2] dollars.The templateTitleSubject[0] are owned by Robert Castellini , who bought the franchise for 270 templateScale templateYLabel[2] templateYLabel[3] in templateXValue[12] .
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 above presents estimates of the annual aggregate templateYLabel[1] of the templateYLabel[3] templateTitle[1] publishing industry from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYLabel[3] templateTitle[1] templateTitle[2] generated an templateYLabel[0] total templateYLabel[1] of templateYValue[idxmax(X)] templateScale templateYLabel[3] templateYLabel[4] .
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] reported approximately templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] of templateYLabel[0] .
This statistic shows the templateTitle[1] templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[1] templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to templateYValue[idxmax(X)] templateYLabel[3] templateYLabel[4] .
This statistic represents the templateYLabel[0] templateYLabel[1] of the British bank templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] bank reached templateYValue[max] templateScale U.S. dollars . templateTitleSubject[0] - additional information templateTitleSubject[0] Holdings plc is a British multinational bank and financial services organization based in London , United Kingdom .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateTitle[1] a templateTitle[2] templateTitle[3] templateTitle[4] at least once in the templateTitle[5] templateYValue[2] templateTitle[7] in the templateTitle[8] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[idxmax(X)] templateScale of templateTitleSubject[0] templateYLabel[1] had attended a templateTitle[2] templateTitle[3] templateTitle[4] at least once in the templateTitle[5] templateXLabel[0] .
The statistic presents the projected templateYLabel[0] of templateTitle[1] templateTitle[2] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . NIKO Media Research projected the templateYLabel[0] would rise from templateYValue[idxmin(X)] templateScale in templateXValue[idxmin(Y)] to templateYValue[idxmax(X)] templateScale in templateXValue[idxmax(Y)] .
The statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . The templateYLabel[0] templateYLabel[1] is calculated using the price templatePositiveTrend of a defined product basket . This product basket contains products and services , on which the average consumer spends money throughout the 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 the templateYLabel[0] of chemical templateTitleSubject[0] Baseball ( templateTitleSubject[0] ) from templateTitle[3] between templateXValue[min] and templateXValue[max] . In templateXValue[max] , the templateTitleSubject[0] and its templateTitle[2] generated templateYValue[idxmax(X)] templateScale templateYLabel[2] templateYLabel[3] in templateYLabel[0] from sponsorships .
In templateXValue[0] templateYLabel[0] templateYLabel[1] templateTitle[5] in the templateTitleSubject[0] amounted to templateYValue[max] templateScale British pounds , which when compared with templateXValue[last] was a net templatePositiveTrend of templateDelta[18,0] templateScale pounds . The amount which workers in the templateTitleSubject[0] pay in templateYLabel[0] templateYLabel[1] is determined by how much they earn and falls into four templateYLabel[0] templateYLabel[1] bands . All workers in the templateTitleSubject[0] are entitled to earn a personal allowance of 12.5 thousand pounds before they are charged templateYLabel[0] templateYLabel[1] .
This statistic shows the templateYLabel[0] of the world templateTitle[4] templateTitle[5] vessel fleet from templateXValue[min] through templateXValue[max] . In templateXValue[max] , the world templateTitle[4] templateTitle[5] ship fleet had a templateYLabel[0] of around templateYValue[idxmax(X)] templateScale metric tons deadweight . The templateYLabel[0] of the world 's templateTitle[4] templateTitle[5] fleet templatePositiveTrend marginally by 0.07 templateScale between templateXValue[1] and templateXValue[idxmin(Y)] according to the source .
This statistics presents the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . templateYLabel[0] occurs when people are without work , it is also known as joblessness . In order that the prevalence of templateYLabel[0] can be measured , a calculation is made by the division of the number of unemployed individuals by all individuals currently in the labor force , this yields a templateScale templateYLabel[1] .
In templateXValue[max] , over templateYValue[max] templateScale of templateTitleSubject[0] were templateYLabel[1] areas in templateYLabel[1] areas and cities . templateTitle[0] defines the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateYLabel[3] templateYLabel[2] of a country . Just like like templateTitle[0] , the templateYLabel[2] density within the nation has risen , reaching 46 inhabitants per square kilometer , meaning more people are sharing less space .
This statistic shows the templateScale of templateYLabel[2] templateYLabel[3] in the templateTitleSubject[0] who live below the templateTitle[0] level from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[idxmax(X)] templateScale of templateYLabel[2] templateYLabel[3] were living below the templateTitle[0] line in the templateTitle[4] . templateTitle[0] is the state of one who lacks a certain amount of material possessions or money .
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 .
Over the past two decades , the templateTitle[0] templateYLabel[0] templateYLabel[1] in the templateTitleSubject[0] has remained relatively stable . In templateXValue[max] , the templateTitle[0] templateYLabel[0] templateYLabel[1] in the templateTitleSubject[1] was templateYValue[idxmax(X)] templateYLabel[2] . Speeds peaked during this period in templateXValue[4] at templateYValue[max] templateYLabel[2] , before templateNegativeTrend to templateYValue[3] templateYLabel[2] the following templateXLabel[0] .
In templateXValue[1] , the templateTitle[2] templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] was approximately templateYValue[1] templateYLabel[3] . In templateXValue[max] , this was forecasted to reach around templateYValue[max] templateYLabel[3] templateYLabel[1] templateYLabel[2] . templateTitleSubject[0] 's templateTitle[2] meat templateYLabel[0] in templateXValue[1] was above the OECD average of that templateXLabel[0] .
Among templateXValue[0] lower templateYLabel[0] of templateXValue[1] than templateXValue[0] access the templateTitle[2] via templateTitleSubject[0] templateTitle[1] in templateTitleSubject[1] , according to figures from the United Kingdom 's ( UK ) Office for National Statistics ( ONS ) . templateYValue[0] templateScale of templateXValue[0] aged 16 years or older reported accessing the templateTitle[2] this way , compared with templateYValue[1] templateScale of templateXValue[1] . Smartphone ownership As of 2018 , 95 templateScale of people aged 16 to 34 years owned a smartphone .
The statistic shows the templateYLabel[0] of templateTitle[0] templateYLabel[1] in the templateTitleSubject[0] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] , in templateYLabel[1] templateYLabel[2] . In templateXValue[max] , templateTitle[1] templateYLabel[0] of templateTitle[0] in DR templateTitleSubject[0] totaled some templateYValue[idxmax(X)] templateYLabel[1] templateYLabel[2] . Recently , worldwide templateYLabel[0] of templateTitle[0] has exceed consumption which has templateNegativeTrend prices for the mineral .
The statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] in templateTitle[3] to the templateTitle[4] templateTitle[5] templateTitle[6] ( templateYLabel[2] ) , with projections up until templateXValue[max] . In templateXValue[6] , the state deficit of templateTitleSubject[0] amounted to about 6.4 templateScale of templateTitle[4] templateTitle[5] templateTitle[6] . See templateYLabel[2] of templateTitleSubject[0] for additional information .
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 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] .
The statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitleSubject[0] from the fiscal templateXLabel[0] of templateXValue[min] to the fiscal templateXLabel[0] of templateXValue[max] . In its templateXValue[max] fiscal templateXLabel[0] , templateTitleSubject[0] paid out a templateYLabel[0] of approximately templateYValue[0] templateYValue[idxmax(X)] templateYLabel[1] templateYLabel[2] .
The statistic shows the templateYLabel[0] car production of templateTitleSubject[0] templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] templateYLabel[2] around templateYValue[idxmax(X)] templateScale templateYLabel[0] templateYLabel[1] templateTitle[4] . templateTitleSubject[0] is ranked among the 15 largest automakers templateTitle[4] .
The templateYLabel[0] of templateYLabel[1] in templateTitleSubject[0] peaked in templateXValue[5] , when almost templateYValue[max] thousand couples got divorced . Since then the divorce templateYLabel[0] templateNegativeTrend until templateXValue[max] , when it again templatePositiveTrend and amounted to almost templateYValue[0] thousand templateYLabel[1] . A similar trend can be seen in the neighbor country Norway , where the templateYLabel[0] of templateYLabel[1] templateNegativeTrend for several years but templatePositiveTrend again in templateXValue[1] .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[0] templateTitleSubject[0] in the templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the company 's templateYLabel[0] templateYLabel[1] amounted to approximately templateYValue[idxmax(X)] templateScale templateYLabel[3] templateYLabel[4] . templateTitle[0] templateTitleSubject[0] is a chain of discount variety stores that operates in 44 templateYLabel[3] states .
This statistic shows the templateScale of conceptions of under 16 girls templateYLabel[2] in templateYLabel[3] in templateTitleSubject[0] and templateTitleSubject[1] from templateXValue[min] to templateXValue[max] . The templateYLabel[0] of terminated templateYLabel[1] in this age group has remained around the same amount over the provided time period . In templateXValue[max] , approximately templateYValue[idxmax(X)] templateScale of the templateYLabel[1] led to templateYLabel[3] .
Body modification , especially tattooing , has proven to be very popular over the last few years . In the templateTitleSubject[0] alone , templateXValue[last] a quarter of the population is adorned with at least templateXValue[0] tattoo , and less templateXValue[last] 40 templateScale of Americans would rule out getting templateXValue[0] completely . Most get their first in their twenties , and the vast majority never regrets that first prick of the needle .
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 figure shows the templateYLabel[0] of templateYLabel[1] of templateTitleSubject[0] ( UK ) templateTitle[2] templateTitle[3] from templateTitleDate[min] to templateTitleDate[max] . templateYValue[last] templateYLabel[1] were recorded in templateXValue[last] , with numbers templatePositiveTrend during the following years . Though by templateXValue[0] numbers had templateNegativeTrend to templateYValue[min] templateYLabel[1] .
templateTitleSubject[0] 's carbon dioxide templateYLabel[0] from fossil fuel and cement production reached about templateYValue[0] templateScale templateYLabel[2] templateYLabel[3] in templateXValue[max] , compared to templateYValue[min] templateScale templateYLabel[2] templateYLabel[3] in templateXValue[idxmin(Y)] . A large templateScale of global greenhouse gas templateYLabel[0] ( GHG ) are derived from the production and consumption of energy . In templateTitleSubject[0] , energy-related templateYLabel[0] account for an even higher share of total templateYLabel[0] due to extreme temperatures , large land area , and dispersed populations .
The statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] and templateXValue[max] . According to the source , the data are ILO estimates . In templateXValue[max] , the estimated templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] was at templateYValue[idxmax(X)] templateScale .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] templateTitle[3] parent families with a female householder and no spouse present in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , templateYValue[idxmin(X)] templateScale of all templateTitleSubject[0] families with a templateTitle[3] mother in the templateTitle[5] lived below the templateYLabel[0] level . In templateXValue[max] , that figure was at templateYValue[idxmax(X)] templateYValue[idxmax(X)] .
This graph depicts the templateYLabel[1] of the templateTitleSubject[0] Sox templateYLabel[0] 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 templateTitleSubject[0] Giants are owned by Charles Johnson , who bought the templateYLabel[0] for 200 templateScale templateYLabel[3] templateYLabel[4] in templateXValue[15] .
This statistic shows the templateYLabel[0] of templateTitleSubject[0] worldwide from templateXValue[min] to templateXValue[max] . Global hotel company templateTitleSubject[0] International generated approximately templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] in templateYLabel[0] in templateXValue[idxmax(Y)] , up from templateYValue[1] templateScale the previous templateXLabel[0] .
This statistic represents the templateTitle[2] templateYLabel[0] of the templateTitleSubject[0] ( templateTitleSubject[0] Haushaltsgeraete GmbH ) between the templateXValue[min] to templateXValue[max] fiscal years . In its templateXValue[max] fiscal templateXLabel[0] , the templateTitleSubject[0] generated approximately templateYValue[0] templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
templateTitle[2] templateYLabel[1] at templateTitle[3] establishments in templateTitleSubject[0] have been steadily templatePositiveTrend each templateXLabel[0] since the start of the decade . In templateXValue[max] , a record templateYValue[idxmax(X)] templateScale tourists ( including residents and non-residents ) arrived at templateTitle[3] in templateTitleSubject[0] . Tourism in templateTitleSubject[0] In line with trends across Europe , tourism in templateTitleSubject[0] has experienced a boost in the last ten years .
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[idxmax(X)] templateYLabel[4] templateXValue[6] templateYLabel[6] templateYLabel[7] .
The statistic shows total templateYLabel[2] templateTitle[0] templateYLabel[0] templateTitle[2] the Supplemental Nutrition Assistance Program ( templateTitle[3] , formerly called templateTitleSubject[0] ) from templateXValue[min] to templateXValue[max] . In templateXValue[2] , about templateYValue[2] templateScale templateYLabel[2] templateYLabel[3] were spent templateTitle[2] the Supplemental Nutrition Assistance Program .
This statistic shows the templateTitle[0] templateYLabel[0] of templateTitle[2] templateTitle[3] in the templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the total templateYLabel[0] of unique , registered templateYLabel[1] who have actively lobbied amounted to templateYValue[idxmax(X)] .
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 statistic shows the templateTitleSubject[0] annual templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[5] templateXValue[min] through templateXValue[max] . In templateXValue[6] , the templateTitleSubject[0] templateYLabel[0] templateTitle[2] templateTitle[3] stood at templateYValue[7] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] templateYLabel[5] .
The statistic shows a growth forecast for the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateYLabel[0] in templateXValue[max] and shows the actual projected templateYLabel[0] value of the templateTitle[1] templateTitle[2] templateYLabel[0] in templateXValue[min] . For templateXValue[max] , the templateTitleSubject[0] smart templateTitle[1] templateTitle[2] templateYLabel[0] is forecasted to reach templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] . The predicted compound annual growth rate between templateXValue[min] and templateXValue[idxmax(Y)] should be 26.3 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] .
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 templateYValue[idxmax(X)] templateScale .
The statistic shows 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)] templateScale templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateYLabel[3] templateTitle[2] templateTitle[3] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] 's templateYLabel[0] templateYLabel[1] were around templateYValue[min] templateScale templateYLabel[3] templateYLabel[4] .
This statistic represents the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] templateTitle[4] in the templateTitle[5] between templateXValue[min] and templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] templateTitle[2] templateTitle[3] templateTitle[4] stood at around templateYValue[idxmax(X)] templateScale .
This statistic shows the templateScale of conceptions of under 16 girls templateYLabel[2] in templateYLabel[3] in templateTitleSubject[0] and templateTitleSubject[1] from templateXValue[min] to templateXValue[max] . The templateYLabel[0] of terminated templateYLabel[1] in this age group has remained around the same amount over the provided time period . In templateXValue[max] , approximately templateYValue[idxmax(X)] templateScale of the templateYLabel[1] led to templateYLabel[3] .
Body modification , especially tattooing , has proven to be very popular over the last few years . In the templateTitleSubject[0] alone , templateXValue[last] a quarter of the population is adorned with at least templateXValue[0] tattoo , and less templateXValue[last] 40 templateScale of Americans would rule out getting templateXValue[0] completely . Most get their first in their twenties , and the vast majority never regrets that first prick of the needle .
There were templateYValue[min] templateTitle[1] templateTitle[2] recorded in templateTitleSubject[0] in templateXValue[idxmin(Y)] . templateTitleSubject[0] had been able to templateNegativeTrend the templateYLabel[0] of people fatally injured on its roads by nearly half since templateXValue[min] . templateXValue[7] and templateXValue[3] were the only years in which the templateYLabel[0] of fatal accidents templatePositiveTrend .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateYLabel[3] templateTitle[2] templateTitle[3] templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[2] templateTitle[3] templateTitle[4] templatePositiveTrend by an estimated templateYValue[idxmax(X)] templateScale compared to the previous sales templateXLabel[0] . templateTitle[2] templateTitle[3] templateTitle[4] Since the early twentieth century , the production of templateTitle[3] has been controlled by a handful of multi-national corporations .
The statistic presents the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] ' templateYLabel[0] templateYLabel[1] amounted to around templateYValue[0] templateScale templateYLabel[3] . After spin-offs of other product segments , Koninklijke templateTitleSubject[0] N.V. today is a company focused on healthcare/medical technology .
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] amounted to approximately templateYValue[6] templateScale templateYLabel[0] .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[6] in templateYLabel[2] to the templateTitle[4] templateTitle[5] templateTitle[6] ( templateYLabel[3] ) , with projections up until templateXValue[max] . In templateXValue[6] , templateTitleSubject[0] 's templateYLabel[0] templateYLabel[1] amounted to approximately templateYValue[max] templateScale of the templateYLabel[3] .
The graph shows the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] templateTitle[4] graduates in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of students at the time of templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in templateTitleSubject[0] was templateYValue[idxmax(X)] templateYLabel[2] .
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 .
The statistic shows the templateYLabel[0] templateTitle[4] prices of selected templateXValue[2] World templateXValue[2] templateTitle[7] at the templateXValue[0] templateXValue[2] templateTitle[9] templateTitle[10] . The templateXValue[0] game templateXValue[0] - 'Brazuca ' is sold at the templateXValue[2] templateTitle[9] shop for templateYValue[max] templateYLabel[2] templateYLabel[3] . templateXValue[2] Cup templateTitle[7] - additional information In a templateXValue[2] of social media and global connectivity , the templateXValue[2] Cup is templatePositiveTrend in popularity with every tournament , with over 26 templateScale Americans tuning in to watch the templateXValue[2] final .
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[min] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic represents templateYLabel[2] templateYLabel[0] generated with online apparel and templateTitle[2] retail sales between templateXValue[min] and templateXValue[max] . In templateXValue[5] , retail e-commerce revenues from apparel and templateTitle[2] sales amounted to templateYValue[5] templateScale templateYLabel[2] templateYLabel[3] and are projected to templatePositiveTrend to templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] in templateXValue[idxmax(Y)] . E-commerce templateYLabel[0] from apparel in the templateYLabel[2] – additional information With retail e-commerce sales worldwide expected to reach just over four templateScale templateYLabel[2] templateYLabel[3] in templateXValue[3] , the global e-commerce industry appears to show no signs of slowing down .
This statistic shows the templateTitle[1] templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[1] templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to templateYValue[idxmax(X)] templateYLabel[3] templateYLabel[4] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] templateTitle[3] templateTitleSubject[0] worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the global templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] templateTitle[3] templateTitleSubject[0] was about templateYValue[0] templateScale templateYLabel[3] dollars.H templateTitle[3] MH templateTitle[3] templateTitleSubject[0] is a leading global fashion company with strong values and a clear business concept . templateTitleSubject[0] templateTitle[3] templateTitleSubject[0] constantly strives to have the best customer offering in each individual market – which includes giving customers the best price .
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 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)] , which shows a templateTitle[1] templateTitle[2] of approximately 28 templateScale ( women are 28 templateScale less likely than men to have equal opportunities ) . That same templateXLabel[0] , the templateTitle[1] templateTitle[2] in the area of political empowerment in templateTitleSubject[0] amounted to 72 templateScale .
This statistic shows the templateTitle[1] templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[1] templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to templateYValue[idxmax(X)] templateYLabel[3] templateYLabel[4] .
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] amounted to approximately templateYValue[6] templateScale templateYLabel[0] .
The templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] in templateXValue[max] was templateYValue[idxmax(X)] templateScale , the lowest it has been since the mid-1970s . From templateXValue[min] until the templateXValue[11] financial crash the templateYLabel[0] templateYLabel[1] in the UK fluctuated between templateYValue[14] and templateYValue[11] templateScale , before it templatePositiveTrend suddenly in templateXValue[10] to templateYValue[6] templateScale . After peaking at templateYValue[max] templateScale in templateXValue[idxmax(Y)] , the templateYLabel[0] templateYLabel[1] gradually declined before returning to the levels seen in the early 2000s by templateXValue[4] .
This statistic displays the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] is expected to reach templateYValue[idxmax(X)] templateScale , up from templateYValue[5] templateScale in templateXValue[5] .
This statistic shows the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] scores for templateTitleSubject[1] restaurants in the templateTitle[7] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] for templateTitleSubject[1] restaurants in the templateTitle[7] was templateYValue[min] templateYValue[idxmax(X)] down from templateYValue[last] templateYValue[idxmin(X)] previous templateXLabel[0] .
This statistic shows the templateYLabel[0] of templateTitleSubject[0] and templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . templateTitleSubject[0] and templateTitleSubject[0] , Inc. is a United States-based international corporation whose major business is selling gases and templateTitleSubject[0] for industrial uses . In templateXValue[max] , the company generated approximately templateYValue[0] templateScale templateYLabel[2] templateYLabel[3] of templateYLabel[0] .
templateTitleSubject[0] templateTitle[1] templateTitleSubject[0] templateTitle[3] templateYLabel[1] of the templateTitle[5] templateTitle[6] templateYLabel[0] templateTitle[8] is expected to gradually decline in the coming years to hit a low of templateYValue[min] templateScale in templateXValue[idxmin(Y)] , a templateNegativeTrend of almost eight templateScale since templateXValue[min] . Despite such forecast downturns within their templateTitle[5] templateTitle[6] segment , templateTitleSubject[0] templateTitle[1] templateTitleSubject[0] templateTitle[3] total revenue has continued to templatePositiveTrend in recent years . templateTitleSubject[0] templateTitle[1] templateTitleSubject[0] origins templateTitleSubject[0] templateTitle[1] templateTitleSubject[0] , headquartered in New Jersey , operates over 200 subsidiary companies in 60 countries within the pharmaceutical , medical devices and consumer healthcare segments .
This statistic shows the templateTitle[0] templateTitle[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[idxmax(X)] templateScale of templateTitleSubject[0] 's templateYLabel[2] lived in cities .
This statistic presents the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the American company reported templateYLabel[0] templateYLabel[1] to the value of almost 1.15 templateScale templateYLabel[3] templateYLabel[4] from its cold chain templateTitleSubject[0] worldwide .
The global templateTitle[3] templateTitle[4] templateYLabel[0] templateYLabel[1] was projected to reach templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] in templateXValue[idxmax(Y)] . As a relative newcomer to the competitive consumer electronics landscape , templateTitle[3] templateTitle[4] have carved out a large space for itself , with templateTitle[5] shipments templateTitleSubject[0] to amount to 279 templateScale units by 2023 . templateTitle[3] templateTitle[4] As the name suggests , wearables are gadgets that can be worn .
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] .
There were templateYValue[min] templateTitle[1] templateTitle[2] recorded in templateTitleSubject[0] in templateXValue[idxmin(Y)] . templateTitleSubject[0] had been able to templateNegativeTrend the templateYLabel[0] of people fatally injured on its roads by nearly half since templateXValue[min] . templateXValue[7] and templateXValue[3] were the only years in which the templateYLabel[0] of fatal accidents templatePositiveTrend .
In templateXValue[max] , the templateYLabel[1] templateYLabel[2] of hospitals in the templateTitleSubject[0] stood at templateYValue[idxmax(X)] templateScale . Hospitals are a cornerstone of health services in any country and also contribute considerably to the economy . Nevertheless , the number of hospitals in the templateTitleSubject[0] has templateNegativeTrend in recent years .
This graph depicts the templateYLabel[1] of the templateTitleSubject[0] Mets templateYLabel[0] 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 timeline shows teh templateTitle[3] of the templateTitle[1] templateTitle[2] worldwide in templateXValue[min] as well as a forecast thereof for templateXValue[max] . The source projected the templateTitle[3] would templatePositiveTrend from templateYValue[idxmin(X)] to templateYValue[idxmax(X)] templateScale templateYLabel[2] templateYLabel[3] in the presented period .
In templateTitleDate[0] , the templateTitle[0] templateTitle[1] templateYLabel[0] templateYLabel[1] templateYLabel[2] revenue amounted to templateYValue[max] templateScale templateYLabel[4] . The templateYLabel[1] of football events is the live coverage of football matches on television or radio . In recent years , the global templateTitle[5] of the French top football league is templatePositiveTrend , whether it concerns the market templateTitle[5] of the teams or the transfer fee spending of templateTitle[0] templateTitle[1] football clubs .
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] in templateTitleSubject[0] 's templateYLabel[0] is relatively low and stable at around templateYValue[0] templateScale which means the population is experiencing close to full employment .
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] amounted to approximately templateYValue[6] templateScale templateYLabel[0] .
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 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 about templateYValue[idxmax(X)] templateScale templateYLabel[3] templateYLabel[4] .
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] templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , about templateYValue[idxmax(X)] templateScale of templateTitleSubject[0] 's templateYLabel[1] lived below the templateTitle[1] line .
In templateXValue[max] , the templateTitleSubject[0] 's global templateTitle[0] amounted to templateYValue[0] templateYValue[idxmax(X)] templateYLabel[2] . The templateTitleSubject[0] Ltd. is a Swiss company which primarily manufactures watches . templateTitleSubject[0] The templateTitleSubject[0] was formed in 1983 through the merging of two Swiss watch manufacturers : ASUAG and SSIH .
This statistic shows the templateYLabel[0] templateYLabel[1] of The templateTitleSubject[0] templateTitle[3] templateTitleSubject[0] worldwide from templateXValue[min] to templateXValue[max] . Fast food chain templateTitleSubject[0] templateTitle[3] had a templateYLabel[0] templateYLabel[1] of approximately templateYValue[idxmax(X)] templateScale templateYLabel[3] templateYLabel[4] in templateXValue[max] . This shows a 70 templateScale templateNegativeTrend over previous templateXLabel[0] templateTitle[3] total amounting to templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] .
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 .
templateTitle[2] spending on the National Football League ( templateTitleSubject[0] ) and its teams has templatePositiveTrend annually since templateXValue[min] , reaching templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] worldwide during the templateXValue[idxmax(Y)] season . Nike is one of the league 's main sponsors , providing uniform and apparel to all 32 templateTitleSubject[0] teams since templateXValue[6] – the two parties agreed a long-term extension to their rights partnership in templateXValue[max] . Why are templateTitle[2] deals worth so much ? Sponsors are prepared to spend large amounts of money to get their brand displayed on big screens and pitch-side hoardings in stadiums across the templateTitleSubject[0] .
The templateYLabel[0] of templateYLabel[1] in templateTitleSubject[0] peaked in templateXValue[5] , when almost templateYValue[max] thousand couples got divorced . Since then the divorce templateYLabel[0] templateNegativeTrend until templateXValue[max] , when it again templatePositiveTrend and amounted to almost templateYValue[0] thousand templateYLabel[1] . A similar trend can be seen in the neighbor country Norway , where the templateYLabel[0] of templateYLabel[1] templateNegativeTrend for several years but templatePositiveTrend again in templateXValue[1] .
This statistic shows the templateTitleSubject[0] templateYLabel[0] of templateTitle[3] templateTitle[4] in the templateTitle[5] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of all templateTitle[2] templateTitle[3] in the templateTitle[4] came to around templateYValue[max] templateScale .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] templateTitle[3] parent families with a female householder and no spouse present in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , templateYValue[idxmin(X)] templateScale of all templateTitleSubject[0] families with a templateTitle[3] mother in the templateTitle[5] lived below the templateYLabel[0] level . In templateXValue[max] , that figure was at templateYValue[idxmax(X)] templateYValue[idxmax(X)] .
This statistic depicts the templateTitle[0] templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitle[3] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were a templateTitle[0] of templateYValue[idxmax(X)] templateYLabel[2] of templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateTitle[0] .
The statistic shows the templateTitleSubject[0] Emirates ' ( UAE ) templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[4] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , The templateTitleSubject[0] Emirates ' templateYLabel[0] templateTitle[4] rate amounted to approximately templateYValue[min] templateScale templateYLabel[2] to the templateYLabel[3] 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] .
This statistic gives information on the templateTitle[1] templateTitle[2] of templateTitle[3] templateTitle[4] in templateTitleSubject[0] as of 2019 . During this period of time , it was found that templateYValue[max] templateScale of templateTitle[3] templateTitle[4] in the Latin American country were aged between 25 and 34 templateXValue[0] .
The statistic depicts the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] Yankees from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] Yankees franchise amounted to templateYValue[0] templateScale templateYLabel[3] templateYLabel[4] .
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] .
In templateTitleDate[0] , templateYValue[1] templateScale of templateXValue[1] and around a quarter of templateXValue[0] had purchased templateTitle[0] or templateTitle[1] templateTitle[2] in the previous 12 months in templateTitleSubject[0] . templateTitle[3] templateTitle[2] was most common among the 25 to 34-year-old templateTitle[8] , with templateYValue[max] templateScale of individuals within this group having made purchases in templateTitleDate[0] . European templateTitle[2] templateTitle[3] compared Overall , 29 templateScale of British adults bought templateTitle[1] templateTitle[2] in templateTitleDate[0] .
There were templateYValue[0] reported templateTitle[1] templateTitle[2] in templateTitleSubject[0] in templateXValue[max] . This was a slight templatePositiveTrend compared to the previous templateXLabel[0] , but an templatePositiveTrend of 14 incidents compared to the low reported in templateXValue[4] . The Northern European island state is known for enforcing a strict templateTitle[1] safety policy in order to ensure the security of its residents and tourists in the country .
The statistic represents the templateYLabel[0] templateYLabel[1] of the sports templateTitle[2] , a franchise of the National Football League , templateTitle[4] templateXValue[min] to templateXValue[max] . In the templateXValue[max] season , the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[1] templateTitle[2] were at templateYValue[idxmax(X)] templateScale templateYLabel[3] templateYLabel[4] .
This statistic shows the templateYLabel[0] of International Workplace Group ( templateTitleSubject[0] ) , formerly Regus , templateTitle[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] generated a templateYLabel[0] of templateYValue[idxmax(X)] templateScale templateYLabel[2] templateYLabel[3] templateTitle[2] . In templateXValue[2] , Regus changed its holding company to templateTitleSubject[0] but hold the Regus name as their brand .
This statistic represents the templateTitle[0] templateYLabel[0] of templateTitle[2] in the templateTitle[1] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitle[0] templateTitle[2] templateYLabel[0] came to templateYValue[idxmax(X)] templateScale templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] of templateTitleSubject[0] of templateTitleSubject[0] ( LoL ) monthly active templateYLabel[2] worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[max] , LoL had templateYValue[idxmax(X)] templateScale templateTitleSubject[0] , up from templateYValue[1] templateScale in templateXValue[1] . Being one of the most prominent eSports games , in templateXValue[1] LoL championship finals attracted 36 templateScale viewers worldwide .
This statistic shows the templateYLabel[0] of International Workplace Group ( templateTitleSubject[0] ) , formerly Regus , templateTitle[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] generated a templateYLabel[0] of templateYValue[idxmax(X)] templateScale templateYLabel[2] templateYLabel[3] templateTitle[2] . In templateXValue[2] , Regus changed its holding company to templateTitleSubject[0] but hold the Regus name as their brand .
This statistic presents the annual templateTitle[2] templateYLabel[1] of mobile messaging platform templateTitleSubject[0] . In templateXValue[max] , the chat app had generated 1.03 templateScale templateYLabel[3] templateYLabel[4] in templateTitle[2] losses , a slight improvement from 1.56 templateScale templateYLabel[3] templateYLabel[4] in losses in the preceding templateXLabel[0] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] of templateTitleSubject[0] amounted to approximately templateYValue[idxmax(X)] templateScale templateYLabel[3] templateYLabel[4] .
The statistic depicts the total number of templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . It is expected that the number of templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] will reach templateYValue[4] templateScale in templateXValue[4] .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitle[1] templateTitle[2] in the 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] templateTitle[2] templateTitle[3] templateTitle[4] size templateTitle[5] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] had a size of templateYValue[idxmin(X)] templateScale templateYLabel[2] templateYLabel[3] .
This statistic displays a templateTitle[0] of the templateTitle[2] and templateTitle[3] templateTitle[4] templateYLabel[1] templateTitle[6] in the templateTitle[1] templateYLabel[2] templateXValue[min] to templateXValue[max] . templateYLabel[2] templateXValue[2] to templateXValue[1] , the templateTitle[2] and templateTitle[3] templateTitle[4] templateYLabel[1] templateTitle[6] is expected to templatePositiveTrend by templateYValue[max] templateScale . Appreciation of the templateTitleSubject[0] dollar is likely to reduce costs and templatePositiveTrend production in the chemical industry .
The statistic shows the degree of templateTitle[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] and details the templateScale of the entire templateYLabel[2] , living in templateYLabel[1] areas . In templateXValue[max] , templateYValue[idxmax(X)] templateScale of the total templateYLabel[2] in templateTitleSubject[0] lived in cities . templateTitleSubject[0] 's rural exodus templateTitleSubject[0] is one of the largest countries in the world regarding land area , second behind Russia .
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 total templateTitleSubject[0] ( UK ) templateTitle[2] templateYLabel[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] from fiscal templateXLabel[0] 2000/01 to fiscal templateXLabel[0] 2018/19 . There were some fluctuations during this period , the largest of which was from 2008/09 to 2009/10 when the revenue went from a peak of templateYValue[10] templateScale British pounds ( templateYLabel[5] ) to templateYValue[9] templateScale templateYLabel[5] in the next fiscal templateXLabel[0] .
This statistic represents 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] reported approximately templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] of templateYLabel[0] .
templateTitleSubject[0] has about templateYValue[max] templateScale templateYLabel[2] in templateYLabel[0] in templateXValue[idxmax(Y)] . This is a large templatePositiveTrend from their templateYLabel[0] in templateXValue[min] , which totaled templateYValue[min] templateScale templateYLabel[3] . templateTitleSubject[0] Inc. is a leading company in cleaning , sanitizing , pest elimination services , food safety , and infection prevention products and services worldwide .
This statistic represents the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] templateTitle[4] in the templateTitle[5] between templateXValue[min] and templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] templateTitle[2] templateTitle[3] templateTitle[4] stood at around templateYValue[idxmax(X)] templateScale .
The motorcycle fleet size in templateTitleSubject[0] amounted to more than templateYValue[max] templateScale templateYLabel[3] in templateXValue[idxmax(Y)] . This represented an templatePositiveTrend of almost 13.5 templateScale in comparison to the motorbike fleet reported a templateXLabel[0] earlier . In templateXValue[max] , the templateYLabel[0] of registered motor vehicles in templateTitle[2] in templateTitleSubject[0] reached almost 47.8 templateScale templateYLabel[3] .
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] .
The statistic shows the degree of templateTitle[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] and details the templateScale of the entire templateYLabel[2] , living in templateYLabel[1] areas . In templateXValue[max] , templateYValue[idxmax(X)] templateScale of the total templateYLabel[2] in templateTitleSubject[0] lived in cities . templateTitleSubject[0] 's rural exodus templateTitleSubject[0] is one of the largest countries in the world regarding land area , second behind Russia .
This statistic gives information on the templateTitle[1] templateTitle[3] rate in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , templateYValue[idxmin(X)] templateScale of the Indonesian templateYLabel[1] were using the templateTitle[1] . In templateXValue[max] , this figure is projected to grow to templateYValue[idxmax(X)] templateScale .
This graph shows the templateTitle[1] templateTitle[2] templateYLabel[0] in the country from templateTitleDate[min] to templateTitleDate[max] . In templateTitleDate[max] , the nationwide templateYLabel[0] was templateYValue[min] cases templateYLabel[1] 100,000 of the templateYLabel[3] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[0] templateYLabel[1] templateYLabel[2] in the templateTitle[4] from templateXValue[min] to templateXValue[max] . In calendar templateXLabel[0] templateXValue[1] , the average templateTitle[1] templateYLabel[0] templateYLabel[1] one templateYLabel[2] of templateTitle[0] templateTitle[2] was about templateYValue[idxmax(X)] templateYLabel[3] templateYLabel[4] .
There were templateYValue[min] templateTitle[1] templateTitle[2] recorded in templateTitleSubject[0] in templateXValue[max] . This was a slight templatePositiveTrend compared to the previous templateXLabel[0] , but an templatePositiveTrend of 14 incidents compared to the low reported in templateXValue[4] . The Northern European island state is known for enforcing a strict templateTitle[1] safety policy in order to ensure the security of its residents and tourists in the country .
This statistic shows the templateTitleSubject[0] templateYLabel[0] templateYLabel[1] worldwide from templateTitleDate[min] to templateTitleDate[max] . By templateTitleDate[max] , the worldwide templateYLabel[0] templateYLabel[1] at templateYLabel[2] is templateTitleSubject[0] to be templateYValue[max] templateYLabel[3] .
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 about templateYValue[idxmax(X)] templateScale templateYLabel[3] 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 .
In templateXValue[max] , over templateYValue[max] templateScale templateTitleSubject[0] templateTitle[3] departed on outbound travels from India , marking an templatePositiveTrend from the previous templateXLabel[0] . Interestingly , since templateXValue[min] , an exponential rise was seen in the templateTitle[0] of templateTitleSubject[0] templateTitle[3] traveling outside the country for leisure and other reasons . Travel bug and the economy templateTitleSubject[0] templateTitle[3] are traveling more than ever before .
The statistic depicts the templateYLabel[2] generated in the global templateYLabel[0] templateYLabel[1] from templateXValue[min] to templateXValue[max] . By templateXValue[max] , the global templateYLabel[0] templateYLabel[1] was expected to generate templateYLabel[2] of around templateYValue[max] templateScale templateYLabel[4] templateYLabel[5] . In that same templateXLabel[0] , templateYLabel[2] from the templateYLabel[0] merchandising templateYLabel[1] in North America was expected to reach 14.2 templateScale templateYLabel[4] templateYLabel[5]
The statistic shows the degree of templateTitle[0] in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] and details the templateScale of the entire templateYLabel[2] , living in templateYLabel[1] areas . In templateXValue[max] , templateYValue[idxmax(X)] templateScale of the total templateYLabel[2] of the templateTitleSubject[0] lived in cities . templateYLabel[2] of the templateTitleSubject[0] The templateTitleSubject[0] is a developed country with a high standard of living .
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] amounted to approximately templateYValue[6] templateScale templateYLabel[0] .
The statistic shows the templateYLabel[0] of the templateTitleSubject[0] Leafs from the templateXValue[last] season to the templateXValue[0] season . The templateYLabel[0] of the templateTitleSubject[0] Leafs amounted to templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] in the templateXValue[idxmax(Y)] season .
This statistic presents 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 .
This statistic represents the templateYLabel[0] of templateTitle[1] television templateYLabel[1] in the templateTitle[3] from templateXValue[min] to templateXValue[max] . According to the source , there were templateYValue[idxmax(X)] templateScale templateTitle[1] templateYLabel[1] in the templateTitle[3] in templateXValue[max] templateXValue[idxmin(Y)] a templateNegativeTrend of more almost 10 templateScale from templateXValue[min] .
In templateXValue[max] , templateTitleSubject[0] had a templateTitle[0] templateTitle[1] of about templateYValue[max] people templateYLabel[1] templateYLabel[2] templateYLabel[3] . The country has one of the lowest templateTitle[0] densities in the world , as the total templateTitle[0] is very small in relation to the dimensions of the land . templateTitleSubject[0] has a relatively stable templateTitle[0] size , consistently with a growth of around one templateScale compared to the previous templateXLabel[0] .
The templateYLabel[0] of templateTitleSubject[0] citizens aged six and above that participated templateTitle[1] templateTitle[2] amounted to approximately 11.8 templateScale in templateXValue[max] . This templateYLabel[0] has almost halved in size over the past 10 years . The two types of templateTitle[1] templateTitle[2] templateTitle[1] templateTitle[2] is a recreational activity or sport where templateYLabel[1] can choose to use either inline skates or 2x2 wheel skates .
This statistic shows the templateTitle[1] templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[1] templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to templateYValue[idxmax(X)] templateYLabel[3] templateYLabel[4] .
The statistic presents the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] ' templateYLabel[0] templateYLabel[1] amounted to around templateYValue[0] templateScale templateYLabel[3] . After spin-offs of other product segments , Koninklijke templateTitleSubject[0] N.V. today is a company focused on healthcare/medical technology .
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[3] templateYLabel[0] templateTitle[1] abroad is defined as ownership by a templateYLabel[3] investor of at least templateYValue[12] templateScale of a foreign business .
The statistic shows the expenditure of templateTitleSubject[0] on research and development from templateXValue[min] to templateXValue[max] . In templateXValue[1] , templateTitle[0] templateTitleSubject[0] spent some templateYValue[max] templateScale templateYLabel[4] on research and development . Abbot was a U.S.-based global pharmaceutical and healthcare products company , headquartered in Chicago , Illinois .
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] in templateTitleSubject[0] 's templateYLabel[0] is relatively low and stable at around templateYValue[0] templateScale which means the population is experiencing close to full employment .
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 .
In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at approximately templateYValue[idxmax(X)] templateScale of the total labor force . The templateYLabel[0] templateYLabel[1] is the templateScale of a country 's labor force that are without jobs but are available to work and actively seeking employment . templateTitleSubject[0] 's templateYLabel[0] templateYLabel[1] is above the worldwide templateYLabel[0] templateYLabel[1] , and compared to other Sub-Saharan African countries and other regions , templateTitleSubject[0] has a relatively average templateYLabel[1] of templateYLabel[0] .
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] amounted to approximately templateYValue[6] templateScale templateYLabel[0] .
The templateTitle[0] templateTitle[1] in templateTitleSubject[0] was slightly between templateXValue[min] and templateXValue[4] , peaking in templateXValue[min] at templateYValue[idxmin(X)] templateYLabel[1] templateYLabel[2] templateYLabel[3] . In the following years , the templateTitle[0] templateTitle[1] never templateNegativeTrend below templateYValue[0] , except in templateXValue[5] , when the templateTitle[0] templateTitle[1] was templateYValue[5] . According to this forecast , between templateXValue[3] and templateXValue[max] the templateTitle[0] templateTitle[1] is expected to templatePositiveTrend again slightly , until it is back at the templateXValue[idxmax(Y)] level in templateXValue[max] .
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 represents the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitleSubject[0] of templateTitleSubject[0] generated templateYLabel[0] templateYLabel[1] worth approximately templateYValue[max] templateScale templateYLabel[3] .
The highest templateTitle[4] templateTitle[5] templateTitle[6] , which is controlled by the templateTitle[5] Association of templateTitleSubject[0] , made its highest templateYLabel[0] in the templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateXValue[23] . In this templateXLabel[0] , they participated as the smallest nation ever in the UEFA European Championship . The templateTitle[6] made it to the quarter finals but lost them to France .
The statistic shows the degree of templateTitle[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] and details the templateScale of the entire templateYLabel[2] , living in templateYLabel[1] areas . In templateXValue[max] , templateYValue[idxmax(X)] templateScale of the total templateYLabel[2] in templateTitleSubject[0] lived in cities . templateTitleSubject[0] 's rural exodus templateTitleSubject[0] is one of the largest countries in the world regarding land area , second behind Russia .
The statistic presents the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitle[3] from templateXValue[min] to templateXValue[max] . A declining tendency could be observed as the templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateNegativeTrend from templateYValue[idxmin(X)] in templateXValue[idxmax(Y)] to 6,146 in templateXValue[max] .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateYLabel[3] templateTitle[4] templateYLabel[1] templateTitle[6] templateTitle[7] in the templateTitle[8] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[idxmax(X)] templateScale templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
The statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] and templateXValue[max] . According to the source , the data are ILO estimates . In templateXValue[max] , the estimated templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] was at templateYValue[idxmax(X)] templateScale .
This statistic represents the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] Yankees from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the franchise had a team payroll , including benefits and bonuses , of templateYValue[idxmax(X)] templateScale templateYLabel[3] templateYLabel[4] .
This statistic represents a templateTitle[0] of the templateTitle[2] and templateTitle[3] templateTitle[4] templateYLabel[1] templateTitle[6] in the templateTitle[1] templateYLabel[2] templateXValue[min] to templateXValue[max] . templateYLabel[2] templateXValue[2] to templateXValue[1] , the templateTitle[2] and templateTitle[3] templateTitle[4] templateYLabel[1] templateTitle[6] is expected to templatePositiveTrend by templateYValue[max] templateScale . Appreciation of the templateTitleSubject[0] dollar is likely to reduce costs and templatePositiveTrend production in the chemical industry .
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] had templateNegativeTrend by around 2.48 templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
