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)] percent of templateTitleSubject[0] 's templateYLabel[3] templateYLabel[2] lived in templateYLabel[1] areas and cities .
This statistic presents the templateTitle[2] of users in the templateTitleSubject[0] accessing templateTitle[0] . As of the third quarter of templateTitleDate[0] , it was found that templateYValue[max] percent of templateTitle[4] templateTitle[0] users accessed the social platform templateXValue[0] a templateXValue[0] . templateTitle[0] is the most popular social media site in the templateTitle[4] .
This statistic shows the development of templateTitleSubject[0] 's templateYLabel[0] templateYLabel[1] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[1] of templateTitleSubject[0] was about templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This statistic gives information on the templateTitle[0] templateTitle[1] templateTitle[2] on templateYLabel[1] , ranked by templateYLabel[0] of fans on the social network . As of 2020 , former templateXValue[7] president templateXValue[0] was ranked first with over templateYValue[0] templateYLabel[3] templateYLabel[1] fans .
This statistic shows 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)] templateYLabel[3] templateYLabel[4] templateYLabel[5] in templateYLabel[0] and templateYLabel[1] templateYLabel[2] .
The statistic shows the templateTitle[0] templateTitle[1] templateYLabel[1] of templateTitleSubject[0] from the first templateXLabel[0] of templateTitle[5] to the fourth templateXLabel[0] of templateTitle[6] . In the fourth templateXLabel[0] of templateTitle[6] , templateTitleSubject[0] 's templateTitle[1] templateYLabel[1] amounted to templateYValue[0] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
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[1] templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[idxmax(X)] percent of templateTitleSubject[0] 's templateYLabel[1] lived below the templateTitle[1] line .
This statistic shows the templateTitle[4] templateXValue[0] of the templateTitle[0] and templateTitle[2] templateTitle[3] in the templateTitleSubject[0] ( templateTitleSubject[1] ) across various areas in templateTitleDate[0] . templateXValue[0] to templateXValue[0] amounted to templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
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[last] templateYLabel[3] templateYLabel[4] .
The templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] was templateYValue[0] points at the close of templateXValue[max] . This is down from its height in templateXValue[1] , but still well above the slumps in templateXValue[11] and templateXValue[8] due to the Financial Crisis and its aftermath . What does the templateYLabel[0] templateYLabel[1] depend on ? The templateYLabel[0] templateYLabel[1] is how much it costs to buy one share of templateTitleSubject[0] .
This statistic displays a forecast of the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitleSubject[0] up to templateXValue[max] . By templateXValue[max] , it is predicted that templateYValue[2] templateYLabel[3] people will be accessing templateYLabel[0] templateYLabel[1] services on their templateYLabel[0] phones . templateYLabel[0] templateYLabel[1] – additional information The templateTitle[0] of smartphone templateYLabel[2] in the templateTitleSubject[0] increases each templateXLabel[0] and with increasing penetration , smartphones , smartphones are changing the way we do just about everything – including templateYLabel[1] .
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] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This templateTitleDate[0] statistic shows how templateXValue[0] British templateYLabel[1] are about a templateTitle[1] attack happening in templateTitleSubject[0] . The largest templateYLabel[0] of templateYLabel[1] reported feeling templateXValue[1] templateXValue[0] , with over 40 percent , while templateYValue[min] percent reported feeling templateXValue[2] templateXValue[0] at templateXValue[last] . Yet , despite the fact that 78 percent of templateYLabel[1] confessed to worrying about terrorism , this anxiety is irrational as the total resident population in the UK is exceedingly greater than the number of fatalities resulting templateTitle[1] templateTitle[2] in recent years or the number of injuries resulting from templateTitle[1] templateTitle[2] in the UK .
This statistic presents the templateYLabel[0] templateYLabel[1] of mobile templateYLabel[2] actively used by mobile internet users in templateTitle[4] templateTitle[5] as of 2014 . During a templateXValue[0] survey , it was found that mobile internet users in templateXValue[1] used an templateYLabel[0] of templateYValue[max] mobile templateYLabel[2] on a monthly basis .
This statistic shows the templateTitle[1] templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[idxmax(X)] percent of templateTitleSubject[0] 's templateYLabel[1] lived below the templateTitle[1] line .
This statistic depicts the templateTitle[0] templateYLabel[0] of templateTitle[2] templateTitle[3] templateTitle[4] in the United Kingdom ( templateTitleSubject[0] ) in templateTitle[6] , templateTitle[7] templateXLabel[0] templateXLabel[1] . Households among all the templateXLabel[0] groups had an templateTitle[0] of templateYValue[min] to templateYValue[max] templateTitle[2] templateTitle[3] templateTitle[4] .
This statistic shows the templateTitle[0] templateYLabel[0] of templateYLabel[1] in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were a templateTitle[0] of templateYValue[idxmax(X)] directory listings for the templateTitle[1] , an increase from the previous templateXLabel[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)] percent of templateTitleSubject[0] 's templateYLabel[3] templateYLabel[2] lived in templateYLabel[1] areas and cities .
This statistic shows a timeline with the amount of templateYLabel[1] templateYLabel[2] templateTitle[4] templateTitleSubject[0] templateYLabel[3] as of the first templateXLabel[0] of templateTitleDate[max] . Excluding the country , the templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateTitle[4] templateTitleSubject[0] templateYLabel[3] amounted to templateYValue[0] templateYLabel[4] as of the most recent templateXLabel[0] . In total , templateTitleSubject[0] had 330 templateYLabel[4] global templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateTitle[2] in templateTitleDate[0] . In templateTitleDate[0] , at least templateYValue[1] people were executed in templateXValue[1] . The figures represent minimum values according to Amnesty International .
The statistic represents the templateTitle[0] templateTitle[1] templateTitle[2] held by the templateTitle[1] from templateTitle[6] to 2019 with an additional templateTitle[3] from 2020 to templateTitle[7] as a templateYLabel[0] of the Gross Domestic Product . templateTitle[0] templateTitle[1] templateTitle[2] held by the templateTitle[1] amounted to 16.8 trillion templateTitle[0] dollars in 2019 , which was about templateYValue[11] percent of the templateTitle[0] templateYLabel[1] . The templateTitle[3] predicts an increase in templateTitle[1] templateTitle[2] up to 31.45 trillion templateTitle[0] dollars in templateTitle[7] , which would be about templateYValue[max] percent of the templateTitle[0] templateYLabel[1] .
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)] templateYLabel[3] templateTitleSubject[0] , up from templateYValue[1] templateYLabel[3] in templateXValue[1] . Being one of the most prominent eSports games , in templateXValue[1] LoL championship finals attracted 36 templateYLabel[3] 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 templateYLabel[2] templateYLabel[3] templateYLabel[4] in templateTitle[2] losses , a slight improvement from 1.56 templateYLabel[2] templateYLabel[3] templateYLabel[4] in losses in the preceding templateXLabel[0] .
The templateTitle[0] and templateTitle[1] industry contributed to the French Gross Domestic Product ( templateTitle[5] ) in templateTitle[3] with approximately templateYValue[2] templateYLabel[1] templateYLabel[2] in templateXValue[2] . The source predicted that this templateTitle[4] will increase in the coming ten years , reaching an expected templateTitle[3] of around templateYValue[max] templateYLabel[1] templateYLabel[2] in templateXValue[idxmax(Y)] . In templateXValue[2] , templateTitleSubject[0] welcomed almost 87 templateYLabel[1] international tourists , making it the most visited country in the world in that templateXLabel[0] .
This statistic gives information on the templateYLabel[3] templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[0] percent of the Chilean population accessed the templateYLabel[3] , up from templateYValue[16] percent in templateXValue[16] . In templateXValue[1] , templateYValue[max] percent of the Chilean population acceded to templateYLabel[3] .
templateTitleSubject[0] Company 's templateYLabel[0] of templateYLabel[1] came to around templateYValue[min] people in templateXValue[idxmin(Y)] . In templateXValue[2] , the Detroit Big Three carmaker spun off its Opel and Vauxhall businesses , which is one of the reasons why employee figures dropped from templateYValue[max] in templateXValue[idxmax(Y)] to around templateYValue[2] in templateXValue[2] . In templateXValue[max] , the decision to end production in several North American plants resulted in layoffs of around 8,000 salaried templateYLabel[1] .
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 templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] templateTitle[4] photovoltaics has seen an overall increase since templateXValue[min] , amounting to templateYValue[0] templateYLabel[2] templateYLabel[3] templateYLabel[4] . However , this was a minor decrease templateTitle[3] the previous templateXLabel[0] and significantly lower when compared to the templateYLabel[0] factors of other renewable sources . This can be explained by the lack of consistency in the number of sunny days recorded .
In the third templateXLabel[0] of templateTitleDate[max] , the templateYLabel[0] to templateYLabel[1] templateYLabel[2] in the templateTitle[4] amounted to templateYValue[0] percent . templateYLabel[0] to templateYLabel[1] templateYLabel[2] explained The templateYLabel[0] to templateYLabel[1] financial templateYLabel[2] indicates the relationship between shareholders ' templateYLabel[1] and templateYLabel[0] used to finance the assets of a company . In order to make the calculation the data of the two required components are taken from the firm 's balance sheet .
The statistic shows the templateTitle[0] templateTitle[1] ( templateYLabel[0] ) of the templateTitleSubject[0] Red templateTitle[6] club of Major League Soccer by templateTitle[0] in templateTitleDate[0] . templateXValue[0] received a salary of templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
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)] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateTitle[0] templateTitleSubject[0] all-time templateYLabel[1] templateTitle[5] templateTitle[6] as of October 14 , templateTitleDate[0] . templateXValue[0] has hit the most templateYLabel[1] templateYLabel[2] in templateTitle[0] templateTitleSubject[0] franchise history with templateYValue[max] templateYLabel[1] templateYLabel[2] .
This statistic illustrates the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] in templateTitleDate[0] . In that year , there were around templateYValue[1] million templateXValue[1] and templateXValue[1] templateYLabel[2] ( including taxicabs ) templateYLabel[1] in templateTitleSubject[0] .
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)] templateYLabel[1] templateYLabel[2] .
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 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)] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateTitle[3] .
This statistic shows templateXLabel[0] and templateTitle[1] government templateYLabel[0] in the templateTitle[3] as a templateYLabel[1] of Gross Domestic Product for the templateTitleDate[0] fiscal year , templateTitle[7] templateXLabel[0] . In templateTitleDate[0] , total templateXLabel[0] and templateTitle[1] government templateYLabel[0] in the templateXLabel[0] of templateXValue[1] amounted to templateYValue[0] percent of the annual Gross Domestic Product of the templateXLabel[0] . The national templateYLabel[0] of the United Stated can be found here .
The statistic shows the templateTitle[0] templateTitle[1] ( templateYLabel[0] ) of the templateTitleSubject[0] Lake club of Major League Soccer by templateTitle[0] in templateTitle[6] . templateTitleSubject[0] received a salary of templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
The statistic shows the templateYLabel[0] of templateTitleSubject[0] Motor Corporation templateYLabel[1] from the fiscal templateXLabel[0] of templateXValue[min] to the fiscal templateXLabel[0] of templateXValue[max] . templateTitleSubject[0] employed some templateYValue[idxmax(X)] people in the templateXValue[idxmax(Y)] fiscal templateXLabel[0] . The templateTitleSubject[0] Motor Corporation is ranked among the largest automobile manufacturers in the world .
The templateYLabel[0] of templateTitleSubject[1] templateYLabel[1] in templateTitleSubject[0] had been increasing steadily throughout the years , with a forecast of approximately 11.5 templateYLabel[2] Australians having an account on the social media platform by the templateXLabel[0] templateXValue[max] . This figure would represent more than 40 percent of the Australian population , making it the most used social media platform in the nation . templateTitleSubject[1] - the most used social media platform templateTitleSubject[0] had one the highest active social media penetration rates globally , with most of the population having account on a social media platform .
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)] percent .
This statistic provides information on the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] ' templateYLabel[0] templateYLabel[1] amounted to templateYValue[max] templateYLabel[2] templateYLabel[3] .
This statistic presents the templateYLabel[0] templateYLabel[1] of mobile templateYLabel[2] actively used by mobile internet users in templateTitle[4] templateTitle[5] as of 2014 . During a templateXValue[0] survey , it was found that mobile internet users in templateXValue[1] used an templateYLabel[0] of templateYValue[max] mobile templateYLabel[2] on a monthly basis .
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] percent , and in 2018 , the templateYLabel[0] templateYLabel[1] was at templateYValue[0] percent . However , it reached a peak in 2000 at templateYValue[max] percent .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateTitle[2] templateTitle[3] the world 's templateTitle[4] templateTitle[5] templateTitle[3] 1900 to templateTitleDate[0] . The templateXLabel[0] in templateXValue[2] in 1973 claimed templateYValue[2] lives . Natural disasters Natural disasters , such as earthquakes , volcanic eruption , tsunamis , floods , tornados or templateTitle[5] affect people templateTitle[6] .
This statistic illustrates the templateTitle[0] templateYLabel[0] of templateTitle[2] templateTitle[3] in the templateTitleSubject[0] ( templateTitleSubject[1] ) from 2015 to templateTitleDate[0] . The templateTitle[0] templateYLabel[0] of templateTitle[2] templateTitle[3] was valued at templateYValue[max] British pounds templateYLabel[2] templateYLabel[3] in 2019 templateYValue[3] an increase compared to the templateYLabel[0] a year earlier .
This statistic shows the results of a templateTitleDate[0] survey among templateTitleSubject[0] templateTitle[1] aged 18 to 60 about their stance on templateXValue[0] on templateTitle[4] . They were asked how they would manage to templateXValue[0] on templateTitle[4] templateTitle[5] templateTitle[6] a templateXValue[0] with others . templateYValue[max] percent of the templateTitle[1] stated templateXValue[1] they would templateXValue[0] when templateXValue[0] is in the templateXValue[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] templateYLabel[1] 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 .
In the third templateXLabel[0] of templateTitleDate[max] , the templateYLabel[0] to templateYLabel[1] templateYLabel[2] in the templateTitle[4] amounted to templateYValue[0] percent . templateYLabel[0] to templateYLabel[1] templateYLabel[2] explained The templateYLabel[0] to templateYLabel[1] financial templateYLabel[2] indicates the relationship between shareholders ' templateYLabel[1] and templateYLabel[0] used to finance the assets of a company . In order to make the calculation the data of the two required components are taken from the firm 's balance sheet .
This statistic presents the templateTitle[1] templateTitle[2] templateTitle[3] of internet users in the templateTitle[0] as of 2017 . During the most recent survey period , templateYValue[0] percent of templateYLabel[1] stated they purchased goods templateTitle[1] at templateXValue[0] a templateXValue[0] .
There were templateYValue[min] templateYLabel[1] of templateTitle[1] templateTitle[2] banks in the templateTitle[5] in templateXValue[max] . After a period of growth from templateXValue[min] to templateXValue[10] , this templateYLabel[0] has been slowly diminishing in the past few years . In templateXValue[max] , Wells Fargo led the ranking of banks with the highest templateYLabel[0] of templateYLabel[1] .
This statistic presents templateTitleSubject[0] 's online traffic performance , based on the templateTitle[1] templateYLabel[1] from the first templateXLabel[0] of templateTitleDate[min] to the first templateXLabel[0] of templateTitleDate[max] . During the most recent templateXLabel[0] , an average of templateYValue[0] templateYLabel[2] visitors accessed the website , mobile templateYLabel[0] and the mobile applications . Over the period in consideration , it was reported that the number of average templateYLabel[1] increased from templateYValue[last] to over 900 templateYLabel[2] .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] of templateTitle[3] templateXValue[0] templateYLabel[1] from templateTitleSubject[0] in templateTitleDate[0] . During the Deloitte survey , templateYValue[max] percent of templateYLabel[1] stated that templateXValue[0] the templateXValue[0] social or templateXValue[0] was their favorite source of templateTitle[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 .
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] decreased until templateXValue[max] , when it again increased 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] decreased for several years but increased again in templateXValue[1] .
templateTitleSubject[0] had a templateYLabel[0] of templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] in its templateXLabel[0] templateXLabel[1] in templateTitleDate[0] , a decrease compared to the previous templateXLabel[0] . The templateYLabel[0] of templateXValue[0] amounted to about templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateXValue[1] , up from templateYValue[min] templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateXValue[1] . templateTitleSubject[0] Brewing templateTitleSubject[0] is a global technology company , formed by 1 percent of its templateYLabel[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 .
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] grew by around templateYValue[6] percent templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic represents the templateTitle[3] templateYLabel[1] in templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[5] templateTitle[6] between templateXValue[min] and templateXValue[max] . In templateXValue[1] , templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[5] templateTitle[6] is estimated to increase by templateYValue[1] percent on the templateXLabel[0] before . By templateXValue[max] , templateTitle[2] is projected to grow with another templateYValue[idxmax(X)] percent .
This statistic shows the templateTitle[0] templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were a templateTitle[0] of templateYValue[idxmax(X)] directory listings for templateYLabel[1] templateYLabel[2] throughout the templateTitleSubject[0] .
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)] templateYLabel[1] templateYLabel[2] .
This statistic provides information on the templateYLabel[0] of templateTitle[1] templateTitle[2] networkers templateTitle[4] are afraid of missing something such as an event , news or important status updates if they do n't keep an eye on their templateTitle[2] templateTitle[3] . During a survey in templateTitle[8] templateTitle[9] , it was found that templateYValue[max] percent of templateTitle[1] templateTitle[2] network users suffered templateXValue[0] the fear of missing out , also known as templateXValue[0] .
As of early templateTitleDate[0] , templateXValue[0] and templateXValue[1] were the templateTitleSubject[0] commonly used templateTitle[3] templateTitle[4] templateTitle[5] software templateTitle[6] around the world , with nearly templateYValue[max] percent of templateYLabel[1] stating that they used templateXValue[0] and templateYValue[1] percent using templateXValue[1] . templateXValue[2] . templateXValue[3] , and templateXValue[4] rounded out the top templateYValue[18] templateTitleSubject[0] templateTitle[1] used templateTitle[3] templateTitle[4] around the world .
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)] templateYLabel[2] templateTitle[2] templateTitle[3] templateYLabel[1] in the country , up from templateYValue[idxmin(X)] templateYLabel[2] 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)] percent .
The statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[1] templateTitle[2] templateTitle[3] in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In the most recent reported templateXLabel[0] , the templateYLabel[0] templateYLabel[1] of templateTitle[1] templateTitle[2] amounted to around templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] templateYLabel[4] , up from templateYValue[5] templateYLabel[2] templateYLabel[3] templateYLabel[4] in templateXValue[1] .
This statistic depicts the templateYLabel[0] of templateYLabel[1] templateTitle[1] templateTitle[2] in templateTitleDate[0] . In templateTitleDate[0] , the templateYLabel[0] of templateYLabel[1] templateXValue[4] was at around templateYValue[2] percent . templateYLabel[1] templateXValue[4] templateTitle[1] templateTitle[2] The Population Reference Bureau released data on global templateYLabel[1] templateTitle[1] templateTitle[2] in templateTitleDate[0] .
This statistic displays the templateYLabel[0] of templateYLabel[1] templateYLabel[2] at least one templateTitle[0] in the templateTitleSubject[0] by templateXLabel[0] in templateTitle[4] . templateXValue[0] and templateXValue[1] ranked highest with templateYValue[max] percent of templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateTitle[4] , followed templateTitle[5] the templateXValue[2] with templateYValue[2] percent .
The total templateYLabel[0] templateYLabel[1] at stadiums during templateTitle[1] matches in the templateTitleSubject[0] ( templateTitleSubject[1] ) was highest in the templateXValue[0] in templateTitleDate[0] . The templateXValue[0] is the most successful templateTitle[1] templateXValue[0] worldwide and in total there were templateYValue[0] templateYLabel[2] spectators in templateTitleDate[0] . The templateTitleSubject[1] is a prominent templateTitle[1] nation and templateYLabel[0] templateYLabel[1] in the templateXValue[1] had a slight increase in recent years from 9.19 templateYLabel[2] in the 2013/14 season to 11.31 templateYLabel[2] in the 2016/17 season .
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 increased to templateYValue[max] the following templateXLabel[0] .
The statistic shows the templateYLabel[0] templateYLabel[1] in the templateTitle[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] in the USA grew by about templateYValue[idxmax(X)] percent templateYLabel[2] to the templateYLabel[3] templateXLabel[0] . The templateTitle[2] is templateYValue[min] of the largest countries in the world in terms of area size .
The templateYLabel[0] of templateYLabel[1] of the templateTitleSubject[0] of templateTitleSubject[0] ( NAR ) has steadily increased since templateXValue[7] , reaching a membership of templateYValue[max] templateYLabel[2] in templateXValue[idxmax(Y)] , an all-time high . This trend also reflects the recovery of the property market after the financial crisis of 2007 - templateXValue[min] , as the volume of home sales began to climb from templateXValue[8] . The NAR is a North American trade templateTitleSubject[0] for real estate workers formed in 1908 and currently based in Chicago , Illinois .
This statistic shows the templateYLabel[0] of recreational templateYLabel[1] to the templateTitleSubject[0] National templateTitleSubject[0] in the templateTitle[6] from templateXValue[min] to templateXValue[max] . The templateYLabel[0] of templateYLabel[1] to the templateTitleSubject[0] National templateTitleSubject[0] amounted to approximately templateYValue[max] templateYLabel[2] templateYValue[idxmax(X)] templateXValue[idxmax(Y)] .
The templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] templateTitle[4] photovoltaics has seen an overall increase since templateXValue[min] , amounting to templateYValue[0] percent in templateXValue[max] . However , this was a minor decrease templateTitle[3] the previous templateXLabel[0] and significantly lower when compared to the templateYLabel[0] factors of other renewable sources . This can be explained by the lack of consistency in the number of sunny days recorded .
The statistics shows 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 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] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This statistic shows the templateTitleSubject[0] templateYLabel[0] of pumpkins from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitleSubject[0] templateYLabel[0] of pineapples amounted to templateYValue[idxmax(X)] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic shows the total templateYLabel[0] of templateTitle[1] and templateTitle[2] in the templateTitle[3] from templateXValue[min] to templateXValue[max] . In templateXValue[1] , the total templateYLabel[0] of templateTitle[1] and templateTitle[2] in the templateTitle[3] amounted to templateYValue[1] templateYLabel[1] .
This statistic illustrates 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[5] and a forecast thereof until templateXValue[max] . In templateXValue[1] , templateYValue[5] percent of the templateYLabel[1] templateTitle[6] templateTitle[7] accessed templateYLabel[2] services on their templateYLabel[1] phones and this number was predicted to increase to templateYValue[idxmax(X)] percent in templateXValue[idxmax(Y)] . templateYLabel[1] templateYLabel[2] – additional information templateYLabel[1] phones are one of the most popular devices owned , and are used for personal and business purposes by people worldwide .
The statistic represents the total templateYLabel[0] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] generated a multinational templateYLabel[0] of approximately templateYValue[idxmax(X)] templateYLabel[1] templateYLabel[2] . templateTitleSubject[0] The templateTitleSubject[0] is the largest sporting goods manufacturer across Europe and the second largest templateTitle[5] – only behind long-term competitor Nike .
In 2019 , templateTitleSubject[0] ' templateTitleSubject[1] 's templateYLabel[1] amounted to templateYValue[0] templateYLabel[2] . Year-to-date , some 948,000 units were sold to templateTitleSubject[1] customers by the templateTitleSubject[0] Motor Company , which is counted among the Detroit Big Three automakers . The United Kingdom and Germany were among templateTitleSubject[0] templateTitle[1] four most important sales markets in 2018 .
The templateYLabel[0] of templateTitleSubject[0] Inc. , the Montreal-based dairy company , reached approximately templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateXValue[idxmax(Y)] . Their templateYLabel[0] has gradually increased year-on-year from templateYValue[min] templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateXValue[idxmin(Y)] . templateTitleSubject[0] Inc. templateTitleSubject[0] Inc. produces , markets and distributes dairy products .
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] .
This statistic presents the templateYLabel[0] templateYLabel[1] of mobile templateYLabel[2] actively used by mobile internet users in templateTitle[4] templateTitle[5] as of 2014 . During a templateXValue[0] survey , it was found that mobile internet users in templateXValue[1] used an templateYLabel[0] of templateYValue[max] mobile templateYLabel[2] on a monthly basis .
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 decreased 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 templateYLabel[1] templateYLabel[3] templateYLabel[4] in templateTitleSubject[0] from templateXValue[min] to 2027 . In templateXValue[min] , templateYValue[idxmin(X)] templateYLabel[5] people accessed the templateYLabel[3] through their templateYLabel[1] templateYLabel[2] . In templateXValue[max] , this figure is projected to amount to templateYValue[idxmax(X)] templateYLabel[5] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
In templateXValue[max] , the templateYLabel[0] of templateYLabel[1] of templateTitleSubject[0] was around templateYValue[max] . templateTitleSubject[0] is a divorce decrease of 51.2 per 100 company , which is the leading company in the country . templateTitleSubject[0] is headquartered in Duluth , Georgia , and is one of the largest in the world .
templateTitleSubject[0] 's templateTitle[2] and templateTitle[3] costs were around templateYValue[0] templateYLabel[1] British pounds in templateXValue[max] , an increase when compared with the previous templateXLabel[0] . From templateXValue[min] to templateXValue[11] the UK 's templateYLabel[0] increased each templateXLabel[0] , except for templateXValue[10] , when the British economy shrunk . By templateXValue[9] templateYLabel[0] had recovered and resumed its steady growth .
This statistic shows the templateTitleSubject[0] templateTitle[1] templateYLabel[0] of templateTitle[3] templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , templateYValue[idxmin(X)] templateYLabel[1] units of templateTitle[3] templateTitle[4] were sold worldwide .
This statistic shows the number of templateTitleSubject[0] 's templateYLabel[0] templateTitle[2] templateTitle[3] templateTitle[4] from the second templateXLabel[0] of templateTitleDate[0] to the fourth templateXLabel[0] of templateTitleDate[0] . In the fourth templateXLabel[0] of templateTitleDate[0] , the templateTitleSubject[0] 's templateYLabel[0] templateYLabel[1] amounted to templateYValue[0] templateYLabel[2] templateYLabel[3] templateYLabel[4] , up from templateYValue[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] in the corresponding templateXLabel[0] of the previous year .
According to a templateTitleDate[0] survey , templateXValue[0] for the templateTitle[1] of templateTitle[2] templateTitle[3] for electricity generation in the templateTitleSubject[1] outweighed opposition . Of templateYLabel[1] , 35 percent supported its templateTitle[1] , compared to 23 percent who opposed it . Despite templateTitle[2] disasters occurring as recently as 2011 , when a tsunami hit a power plant in Fukushima , Japan , approximately 34 percent of templateTitleSubject[1] residents believe it provides a safe source of templateTitle[3] .
Mangos are native to South and Southeast Asia and are now enjoyed all over the world . The templateTitleSubject[0] templateTitle[2] volume of mangos , mangosteens , and guavas reached templateYValue[max] templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateXValue[idxmax(Y)] , an increase from templateYValue[1] templateYLabel[0] templateYLabel[1] templateYLabel[2] in the templateXValue[1] . templateTitle[1] templateTitle[2] in Asia Much of the world 's mangos come from the Asia Pacific region , specifically India and China .
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] templateYLabel[1] templateYLabel[2] , a decrease compared to the previous templateXLabel[0] .
This graph depicts the templateYLabel[1] of the templateTitleSubject[0] franchise of the National Basketball Association from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] had an estimated templateYLabel[1] of templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This statistic shows the templateTitleSubject[0] templateYValue[1] templateTitle[3] templateTitle[4] based on templateTitle[1] templateYLabel[0] in templateTitleDate[0] . In that year , the templateXValue[0] was the largest templateTitle[1] consumer templateTitle[4] , using a total of almost templateYValue[max] templateYLabel[2] templateYLabel[3] of templateTitle[1] . templateTitle[1] templateYLabel[0] templateTitle[4] templateTitle[1] is a heavy metal that occurs in many rocks as well as in sea water .
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] templateYLabel[1] 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 ) .
This statistic shows the templateYLabel[0] of migrant worker templateYLabel[1] growing up away from their parents in templateTitleSubject[0] in templateXValue[min] and templateXValue[max] . The 6th National Population Census of the Republic of templateTitleSubject[0] estimated that templateYValue[max] templateYLabel[2] templateTitle[1] templateYLabel[1] until the age of 17 grew up without their parents .
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)] percent .
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 shows the results of a survey , conducted in 2018 templateXValue[16] the country , on templateTitleSubject[1] ' templateXValue[8] templateTitleSubject[0] templateTitle[2] resolutions templateTitle[5] templateTitleDate[0] . During the survey , templateYValue[2] percent of templateYLabel[1] said their templateTitle[3] templateTitle[5] templateTitleDate[0] is to templateXValue[2] , while templateYValue[3] percent would like to templateXValue[3] .
This graph shows 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)] templateYLabel[1] people attended a templateTitle[0] templateTitle[1] concert at least once . The templateTitle[1] concert industry – additional information In 2016 , Beyonce and Guns ' N ' Rose were among the most successful templateTitle[1] tours in North America , generating 169.4 templateYLabel[1] templateTitleSubject[0] dollars and 130.8 templateYLabel[1] templateTitleSubject[0] dollars , respectively in gross revenue .
In the fourth templateXLabel[0] of templateXValue[0] , California-based web company templateTitleSubject[0] had an templateYLabel[0] templateYLabel[1] of almost templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] , up from 10.89 templateYLabel[2] templateYLabel[3] templateYLabel[4] in the preceding fiscal templateXLabel[0] . templateTitleSubject[0] operates under the parent company Alphabet Inc .
The templateTitleSubject[0] Company reported total templateTitle[0] of about templateYValue[0] templateYLabel[2] templateYLabel[3] templateYLabel[4] in templateXValue[max] . Total templateTitle[0] comprises automotive templateTitle[0] , credit templateTitle[0] , and other templateTitle[0] . The templateTitleSubject[0] Company 's templateTitle[0] In templateXValue[11] , when the global economy tumbled into recession , the CEOs of all Big Three US automakers flew into Washington DC to plead for emergency government aid .
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 decreased by around templateYValue[0] percent templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic displays templateTitle[2] templateTitle[3] templateTitle[1] the templateTitle[0] by templateTitleSubject[0] construction firms in templateTitleDate[0] . The survey revealed that templateYValue[max] percent of the templateYLabel[1] templateTitle[1] templateXValue[0] templateXLabel[0] templateTitle[2] the templateTitle[0] . Residential construction involves the building and selling of both individual and multi-family dwellings .
This statistic shows the 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] percent templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
The graph shows the templateTitle[0] of templateTitle[1] to Disney 's new online video streaming service ( templateTitleSubject[0] ) among adults in the templateTitle[3] as of 2019 . The data reveals templateXValue[2] just templateYValue[min] percent of surveyed templateTitleSubject[0] adults said templateXValue[2] they were templateXValue[0] to sign up to templateTitleSubject[0] upon its launch in templateTitleDate[0] , and templateYValue[max] percent said templateXValue[2] they were templateXValue[2] at templateXValue[3] templateXValue[0] to subscribe to the streaming service .
The statistic shows which templateTitle[1] templateTitle[2] are templateTitleSubject[0] to U.S. survey templateYLabel[1] templateTitle[3] templateTitle[4] a templateTitle[5] templateXValue[10] in templateTitleDate[0] . During the survey , templateYValue[1] percent of templateYLabel[1] cited templateXValue[1] as templateTitleSubject[0] templateTitle[3] templateTitle[4] a templateTitle[5] templateXValue[10] .
This graph depicts the total templateTitle[0] templateTitle[1] templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] 49ers 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 total templateYLabel[0] templateTitle[1] of templateTitle[2] templateTitle[3] templateTitle[4] located in the country to all locations in the world from templateXValue[min] to templateXValue[max] . The total templateYLabel[0] templateTitle[1] amounted to templateYValue[last] templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateXValue[max] . templateTitle[2] templateTitle[3] industry in the United StatesThe US templateTitle[2] templateTitle[3] industry dates back to the 1800 's .
The templateYLabel[0] of templateYLabel[1] in templateTitleSubject[0] in templateTitleDate[0] amounted to around 4.7 million . Among these , the most common templateTitle[5] of templateXValue[4] , around 40 percent , was the single-person templateXValue[4] templateXValue[0] , which amounted to around templateYValue[max] million . The second most common templateXValue[4] templateTitle[5] was templateXValue[2] or married couples templateXLabel[0] templateXValue[0] , in around templateYValue[1] million templateYLabel[1] .
This statistic shows 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] grew by an estimated templateYValue[idxmax(X)] percent 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 illustrates the templateYLabel[0] of templateYLabel[1] templateTitleSubject[0] chat app templateYLabel[2] from 2014 to 2016 . As of that templateXLabel[0] , the mobile messenger hat templateYValue[max] templateYLabel[3] templateYLabel[1] templateYLabel[2] worldwide . templateTitleSubject[0] messenger templateYLabel[2] – additional information Instant messaging has been gaining popularity in the last years thanks to the rise of mobile internet and smartphone 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] . Nails templateTitle[6] templateTitle[7] in the templateYLabel[2] charged an templateYLabel[0] templateYLabel[1] of templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] templateTitle[2] the initial application of a templateTitle[3] templateTitle[4] of gel nails .
This statistic gives information on the most popular templateTitle[1] networks used by templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateTitleDate[0] . During the measured period , it was found that templateXValue[0] had templateYValue[max] percent of all templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateTitle[3] of cumulative templateTitleSubject[0] templateYLabel[0] from templateTitleSubject[0] 's templateTitleSubject[0] from 2008 to templateTitle[5] templateTitle[6] . As of the last reported period , templateTitleSubject[0] announced that templateYValue[max] percent of templateYLabel[1] from the templateTitleSubject[0] 's templateTitleSubject[0] . templateTitleSubject[0] download – additional information templateTitleSubject[0] Store was created in 2008 and , since then , the templateTitle[3] of available apps has been consistently increasing over the years .
The statistic shows the total templateYLabel[0] of templateTitle[1] templateTitle[2] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[idxmax(X)] templateYLabel[2] templateTitle[1] templateTitle[2] templateYLabel[1] in templateTitleSubject[0] .
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)] templateYLabel[2] .
The timeline shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[6] and templateTitle[7] 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[6] and templateTitle[7] templateTitle[5] amounted to approximately templateYValue[idxmax(X)] templateYLabel[3] in templateXValue[max] .
templateYLabel[0] of the templateTitleSubject[0] Brewing templateTitleSubject[0] reached around templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateTitleSubject[1] in templateXValue[max] , an increase of just over 0.7 templateYLabel[1] templateYLabel[2] templateYLabel[3] over the six-year survey period . In comparison , their worldwide net templateYLabel[0] amounted to around 10.8 templateYLabel[1] templateYLabel[3] in templateXValue[1] . templateTitleSubject[0] Brewing templateTitleSubject[0] origins The templateTitleSubject[0] was formed in 2005 through a merger between templateTitleSubject[0] of templateTitleSubject[1] and templateTitleSubject[0] of the country .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in templateTitleDate[0] , templateTitle[3] templateTitle[4] . According to the source , the templateXValue[0] is the templateXLabel[0] with the highest basic salary in the region , with a templateYLabel[1] templateYLabel[2] of templateYValue[max] templateYLabel[3] templateYLabel[4] per month . On the other side of the spectrum is templateXValue[last] , with a templateYLabel[1] templateYLabel[0] salary of only templateYValue[min] templateYLabel[4] .
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] percent 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 percent 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] percent .
Over the past 30 years , the templateYLabel[0] templateYLabel[1] in the templateTitleSubject[0] has been steadily declining , and in templateXValue[max] , there were templateYValue[idxmax(X)] births templateYLabel[2] 1,000 of the templateYLabel[4] . In templateXValue[min] , this figure stood at templateYValue[idxmin(X)] births templateYLabel[2] 1,000 of the templateYLabel[4] . Demographics have an impact The average templateYLabel[0] templateYLabel[1] in the templateTitle[1] may be falling , but when broken down along ethnic and economic lines , a different picture is painted : Native Hawaiian and other Pacific Islander women saw the highest templateYLabel[0] templateYLabel[1] in templateXValue[idxmin(Y)] among all ethnicities , and White and Asian women both saw the lowest templateYLabel[0] templateYLabel[1] .
This statistic displays the templateTitle[3] templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitle[2] in templateTitleDate[0] , with a breakdown templateTitle[5] templateXLabel[0] . In templateTitleDate[0] , there were almost templateYValue[1] million driver 's license holders in templateXValue[1] . templateTitleSubject[0] templateYLabel[1] templateYLabel[2] templateTitle[5] templateXLabel[0] The driver 's license became mandatory in the templateTitle[2] in the early 20th century , with templateXValue[19] and templateXValue[15] being the first states to require an official license for operating certain types of motor vehicles .
This statistic presents the distribution of internet users in the templateTitleSubject[0] who were using templateTitle[0] as of 2018 , sorted templateTitle[6] annual templateTitle[7] templateTitle[8] . We Are Flint found that templateYValue[0] percent of internet users with templateTitle[7] earnings of templateXValue[0] 30,000 US dollars per templateXLabel[0] used the social networking site .
The graph depicts the templateYLabel[0] percentages of templateTitle[4] templateTitle[5] templateTitle[6] in templateTitleDate[0] . templateXValue[0] had the templateTitle[1] templateYLabel[0] templateYLabel[1] of all male templateTitle[6] , templateYLabel[0] templateYValue[1] percent ( 78 out of 87 ) of his matches .
This statistic shows the total templateYLabel[0] of templateYLabel[1] templateTitle[2] templateTitle[3] to templateTitle[4] templateTitle[5] in templateTitleSubject[1] from templateXValue[last] to templateXValue[0] . In templateXValue[0] , the templateYLabel[0] of templateYLabel[1] templateTitle[2] templateTitle[3] to templateTitle[4] templateTitle[5] amounted to approximately templateYValue[min] templateYLabel[2] templateYLabel[1] templateTitle[2] , the lowest amount in the provided time interval .
This statistic illustrates the forecast templateYLabel[0] templateYLabel[1] of templateTitle[1] worldwide in templateTitleDate[0] , templateTitle[4] leading templateXLabel[0] . The estimated templateTitle[1] templateTitle[2] of the templateXValue[1] were amounted to approximately templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] in templateTitleDate[0] .
The statistic shows the templateYLabel[0] templateYLabel[1] of the sports company templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . templateTitleSubject[0] had a templateYLabel[0] templateYLabel[1] of templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] templateYLabel[4] in templateXValue[idxmin(Y)] .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] of templateTitle[3] templateXValue[0] templateYLabel[1] from templateTitleSubject[0] in templateTitleDate[0] . During the Deloitte survey , templateYValue[max] percent of templateYLabel[1] stated that templateXValue[0] the templateXValue[0] social or templateXValue[0] was their favorite source of templateTitle[3] .
This statistic shows the total templateYLabel[0] of templateTitle[1] and templateTitle[2] in the templateTitle[3] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[idxmax(X)] templateYLabel[1] people attended a templateTitle[0] templateTitle[1] concert at least once . The templateTitle[1] concert industry – additional information In 2016 , Beyonce and Guns ' N ' Rose were among the most successful templateTitle[1] tours in North America , generating 169.4 templateYLabel[1] templateTitleSubject[0] dollars and 130.8 templateYLabel[1] templateTitleSubject[0] dollars , respectively in gross revenue .
This statistic shows the ten templateTitle[0] templateTitle[1] in templateTitleSubject[0] as of templateTitleDate[0] . In templateTitleDate[0] , around templateYValue[max] templateYLabel[1] people lived in templateXValue[0] , making it the templateTitle[0] city in templateTitleSubject[0] .
This statistic shows the templateYLabel[0] of templateTitle[2] templateYLabel[1] at templateTitle[3] establishments in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . Over this period templateYLabel[1] of both domestic and international tourists in templateTitle[3] establishments in templateTitleSubject[0] has increased , reaching around templateYValue[idxmax(X)] templateYLabel[2] in templateXValue[idxmax(Y)] .
This statistic shows the distribution of the total templateTitleSubject[0] templateYLabel[0] templateTitle[3] in 2018/2019 , broken down templateTitle[4] templateXLabel[0] . According to the report , the templateXValue[0] was responsible for over a third of the world 's templateTitleSubject[0] templateYLabel[0] that year . Most of the U.S. templateYLabel[0] is attributable to the templateTitleSubject[0] Belt , which is located in the Midwest of the templateXValue[0] .
This statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] templateTitle[3] of templateTitle[4] in templateTitle[5] templateTitle[6] in templateTitleSubject[0] in templateTitleDate[0] . The templateXValue[0] ( UK ) has the highest templateYLabel[0] templateYLabel[1] templateYLabel[2] templateTitle[3] of templateTitle[4] at templateYValue[max] templateYLabel[3] templateYLabel[0] person templateYLabel[0] year , followed by templateXValue[1] at templateYValue[1] templateYLabel[3] . The templateXValue[0] has an excessively high templateYLabel[2] level of templateTitle[4] with a value of almost double the amount of the templateXLabel[0] in third position , templateXValue[2] , who consume a templateTitle[3] of approximately templateYValue[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)] percent .
This statistic shows the total templateTitleSubject[0] templateTitle[1] templateYLabel[0] in templateTitleDate[0] , broken down templateTitle[4] . In that year , the templateXValue[0] produced some templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] of templateTitle[1] .
The statistic shows the templateYLabel[0] of the baby food templateTitle[3] worldwide in templateXValue[min] and templateXValue[max] . In templateXValue[min] , the templateTitleSubject[0] baby food templateTitle[3] was valued at approximately templateYValue[idxmin(X)] templateYLabel[1] templateYLabel[2] templateYLabel[3] . Baby food The templateTitleSubject[0] baby food templateTitle[3] comprises foods intended for the special templateTitle[2] of babies and infants .
This statistic shows the number of templateTitle[0] templateTitle[2] by templateTitle[1] in templateTitleSubject[0] and templateTitleSubject[1] from templateXValue[min] to templateXValue[max] . In templateXValue[1] , the templateTitle[0] templateTitle[1] templateTitle[2] in templateTitleSubject[0] was estimated to reach templateYValue[1] percent . Furthermore , the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateYLabel[0] in templateTitleSubject[0] has increased by recent percent .
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 decreased from templateYValue[idxmin(X)] percent of templateYLabel[1] in templateXValue[min] to templateYValue[idxmax(X)] percent in templateXValue[idxmin(Y)] .
The templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] templateTitle[4] photovoltaics has seen an overall increase since templateXValue[min] , amounting to templateYValue[0] templateYLabel[2] templateYLabel[3] templateYLabel[4] . However , this was a minor decrease templateTitle[3] the previous templateXLabel[0] and significantly lower when compared to the templateYLabel[0] factors of other renewable sources . This can be explained by the lack of consistency in the number of sunny days recorded .
This statistic shows the templateTitle[0] templateTitle[1] templateYLabel[0] of templateTitle[3] in the templateTitleSubject[0] ( templateTitleSubject[1] ) in templateTitleDate[0] , templateTitle[7] templateXLabel[0] templateXLabel[1] . In templateTitleDate[0] , there were a total of templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] of templateTitle[3] templateTitle[4] .
This statistic presents the templateTitle[0] networking reach in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , templateYValue[idxmin(X)] percent of the templateYLabel[1] in the country accessed templateTitle[0] templateTitle[1] . In templateXValue[4] , this templateYLabel[0] is projected to reach templateYValue[4] percent .
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)] templateYLabel[1] 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 templateYLabel[1] templateYLabel[2] of templateTitle[1] .
In templateTitleDate[0] , templateXValue[0] was the templateTitleSubject[0] 's templateXLabel[0] with the highest templateYLabel[0] templateYLabel[1] in the templateTitle[3] , with a templateYLabel[0] templateYLabel[1] of templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] . In the templateXValue[1] , they had a total of templateYValue[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
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)] templateYLabel[2] templateTitle[2] templateTitle[3] templateYLabel[1] in the country , up from templateYValue[idxmin(X)] templateYLabel[2] in templateXValue[idxmin(Y)] .
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)] templateYLabel[1] 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] percent . 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 billion 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)] templateYLabel[2] , up from templateYValue[5] templateYLabel[2] in templateXValue[5] .
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 at approximately templateYValue[idxmax(X)] percent .
This statistic shows the templateYLabel[0] of templateYLabel[1] of templateTitleSubject[0] worldwide in templateTitleDate[0] , templateTitle[3] templateTitle[4] templateXLabel[0] . In templateTitleDate[0] , there were templateYValue[max] templateYLabel[1] templateTitle[3] . templateTitleSubject[0] templateYLabel[1] info Since the opening of the first templateTitleSubject[0] store in the country in 2001 , the templateYLabel[0] of templateTitleSubject[0] templateYLabel[1] around the world has boomed , surpassing 200 templateYLabel[1] after templateXValue[8] and still rising .
As of templateTitleDate[0] , right-wing American news website templateTitle[0] was rated as templateXValue[2] at templateXValue[2] by templateYValue[2] percent of templateYLabel[1] from a survey of over two thousand templateTitleSubject[0] adults . Additionally , over half of templateYLabel[1] had either templateXValue[0] of the publication or had templateXValue[1] about templateTitle[0] 's templateTitle[1] . Conservative view of news media While right-wing websites and online publications have grown in number and popularity in recent years , Fox News remains the largest and perhaps most influential conservative news source in the templateTitle[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)] percent .
The templateYLabel[0] templateYLabel[1] of templateTitle[0] templateTitle[1] manufactured in the templateTitleSubject[1] was approximately 40 thousand tons in templateXValue[max] , an increase of over eight thousand tons from templateXValue[1] . This constitutes a recovery of the production templateYLabel[1] , which collapsed between templateXValue[min] and templateXValue[7] and fell by just under eighty percent , before it stagnated in the early 2010s . A stagnating market ? The corresponding developments in templateYLabel[0] values give the same picture as above .
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] .
This statistic shows the templateYLabel[0] of templateYLabel[1] led templateTitle[6] a female householder with no spouse present with own children under 18 years living in the household in the templateTitleSubject[0] in templateTitleDate[0] , templateTitle[6] templateXLabel[0] . In templateTitleDate[0] , about templateYValue[20] percent of Californian templateYLabel[1] were templateTitle[1] templateTitle[2] templateYLabel[1] with at least one child . Additional information on templateTitle[1] templateTitle[2] templateYLabel[1] and poverty in the templateXValue[18] For most templateTitle[1] mothers a constant battle persists between finding the time and energy to raise their children and the demands of working to supply an income to house and feed their families .
This graph shows the templateXValue[1] templateYLabel[1] templateYLabel[2] to the Gross Domestic Product ( templateTitle[1] ) of templateTitleSubject[0] in templateTitleDate[0] , templateTitle[4] templateXLabel[0] . In templateTitleDate[0] , the templateXValue[9] templateXLabel[0] templateYLabel[2] around templateYValue[9] templateYLabel[3] templateYLabel[4] 2012 templateYLabel[6] templateYLabel[7] of templateYLabel[1] to the state templateTitle[1] .
The statistic shows the templateTitle[0] of templateTitle[1] people in the templateTitleSubject[0] would be willing to spend on their templateTitle[4] templateTitle[5] in templateTitleDate[0] according to a Statista survey . templateYValue[max] percent of templateYLabel[1] said that they would be willing to spend templateXValue[0] to 25 templateTitle[7] dollars on templateTitle[4] templateTitle[5] .
The statistic shows data on the templateTitle[0] of templateXValue[last] genres in the templateTitle[4] as of 2016 . During the survey , templateYValue[7] percent of templateYLabel[1] stated they watched templateXValue[0] templateXValue[last] shows .
This statistic shows the templateYLabel[0] of migrant worker templateYLabel[1] growing up away from their parents in templateTitleSubject[0] in templateXValue[min] and templateXValue[max] . The 6th National Population Census of the Republic of templateTitleSubject[0] estimated that templateYValue[max] templateYLabel[2] templateTitle[1] templateYLabel[1] until the age of 17 grew up without their parents .
This statistic presents the templateTitle[2] templateTitle[3] templateTitle[4] ( templateYLabel[0] ) for Amazon.com from templateXValue[min] to templateXValue[max] . As of templateXValue[max] , templateTitleSubject[0] 's templateYLabel[0] amounted to templateYValue[idxmax(X)] templateYLabel[1] U.S. templateYLabel[3] , up from templateYValue[1] templateYLabel[1] U.S. templateYLabel[3] in the previous templateXLabel[0] .
This graph depicts the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitleSubject[0] 49ers 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] .
In templateTitleDate[0] , templateXValue[0] was the templateTitleSubject[0] templateTitle[1] templateXLabel[0] with the highest templateTitle[4] templateTitle[5] templateTitle[6] templateYLabel[0] , with a templateYLabel[1] of templateYValue[max] percent . In the this quarter of templateTitleDate[0] , the templateTitleSubject[0] templateTitle[1] templateXLabel[0] was the templateTitle[2] templateXLabel[0] in the templateXValue[0] , with a templateTitle[6] of templateYValue[max] percent of individuals in templateXValue[last] . The dawn of templateTitle[4] payments The practice of paying without cash has its roots in the templateXValue[0] States and was first used in the 1940s as a means of paying for automobile fuel .
This statistic provides a forecast of the templateYLabel[0] templateYLabel[1] templateTitle[2] templateTitle[3] in templateTitle[6] , templateTitle[4] templateXLabel[0] . It was forecasted , that the templateYLabel[0] templateYLabel[1] of templateXValue[1] would amount to some templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] . The global templateYLabel[1] of templateYLabel[0] oil is expected to reach nearly 28 templateYLabel[2] templateYLabel[3] templateYLabel[4] templateTitle[4] that year .
The statistic shows templateTitle[0] templateTitle[1] templateTitle[2] ( templateYLabel[0] ) templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] between templateXValue[min] and 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 templateYLabel[1] templateYLabel[2] templateYLabel[3] . In templateXValue[6] , the EU 's templateYLabel[0] amounted to about templateYValue[6] templateYLabel[1] 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 net templateYLabel[0] templateYLabel[1] of different regions between templateTitleDate[min] and templateTitleDate[max] . During that time , templateXValue[0] is templateTitleSubject[0] to have a net templateYLabel[0] surplus of templateYValue[max] templateYLabel[2] people .
This statistic presents the templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateYLabel[3] templateTitle[5] templateYLabel[4] templateYLabel[5] templateTitle[6] top templateTitleSubject[0] templateTitle[7] . During the first quarter of templateTitle[8] , an templateXValue[10] templateYLabel[1] templateYLabel[2] templateYLabel[5] templateTitle[6] templateXValue[0] templateTitle[5] templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] . In constrast , top templateXValue[0] influencer Cara Delevigne templateTitle[5] an templateXValue[10] user templateTitle[4] of 662,894 interactions templateYLabel[4] templateYLabel[5] .
The statistic lists the 20 templateTitleSubject[0] templateTitle[1] the templateTitle[2] templateYLabel[0] templateYLabel[1] in templateTitleDate[0] . In templateTitleDate[0] , templateXValue[0] ranked 1st templateTitle[1] a negative templateYLabel[0] templateYLabel[1] of about 27.6 percent templateYLabel[2] to the templateYLabel[3] templateYLabel[4] . templateYLabel[0] rates and the financial crisis Due to relatively stagnant worker wages as well as a hesitation from banks to so easily distribute loans to the ordinary citizen , templateYLabel[0] has remained considerably low .
This statistic shows the templateTitle[0] templateTitleSubject[0] templateTitle[2] templateYLabel[0] of templateTitle[4] from templateXValue[min] to templateXValue[max] , in templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] . In templateXValue[13] , the annual templateTitle[0] templateYLabel[0] for one templateYLabel[4] of templateTitle[4] on the templateTitleSubject[0] exchange was templateYValue[13] templateYLabel[1] templateYLabel[2] . By templateXValue[max] , the annual templateTitle[0] templateYLabel[0] of templateTitle[4] was templateYValue[idxmax(X)] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
In templateXValue[max] , templateYValue[idxmax(X)] percent of templateYLabel[1] in the templateTitleSubject[0] accessed the templateYLabel[3] , up from templateYValue[4] percent in templateXValue[8] . The templateTitleSubject[0] are one of the biggest online markets worldwide and in 2018 , there were more than 312 million templateYLabel[3] users in the templateTitleSubject[0] .
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 decrease 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 .
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 decreasing templateTitle[0] templateTitle[1] , the total population of templateTitleSubject[0] is expected to increase over the next few years .
As of the third quarter of templateTitleDate[0] , it was found that templateYValue[max] percent of templateTitleSubject[0] users in the templateTitleSubject[1] accessed the photo sharing app templateXValue[0] a templateXValue[0] . A further templateYValue[1] percent of templateYLabel[1] claimed that they used templateTitleSubject[0] on a templateXValue[1] basis .
This statistic presents the templateTitle[2] templateYLabel[0] of cyber templateTitle[1] templateYLabel[1] from templateXValue[min] to templateXValue[max] . In templateXValue[1] , companies detected and reported templateYValue[1] templateYLabel[2] IT templateTitle[1] breaches . This templateYLabel[0] increased by 38 percent in the following templateXLabel[0] .
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] grew by around templateYValue[6] percent 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 percent of templateYLabel[3] .
The biggest countries for installed templateTitleSubject[0] templateTitle[1] in templateTitleDate[0] were templateXValue[0] , the templateXValue[1] , and templateXValue[2] . templateXValue[0] was leading in templateTitleSubject[0] templateTitle[1] installations with a templateYLabel[0] of around templateYValue[max] templateYLabel[1] . The templateXValue[1] , in second place , had a templateYLabel[0] of around templateYValue[1] templateYLabel[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] templateYLabel[2] templateYLabel[3] templateYLabel[4] . The templateTitleSubject[0] Royals are owned by Stuart Sternberg , who bought the templateYLabel[0] for 200 templateYLabel[2] templateYLabel[3] templateYLabel[4] in templateXValue[15] .
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[last] templateYLabel[3] templateYLabel[4] .
The statistic presents the templateYLabel[0] templateYLabel[1] templateYLabel[2] in the templateTitle[2] from templateXValue[min] to templateXValue[max] . The templateYLabel[0] templateYLabel[1] templateYLabel[2] 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 represents the templateTitle[3] of templateTitle[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . templateTitle[0] templateTitleSubject[0] is a subgroup of the templateTitle[0] AG and produces products for crop protection and nonagricultural pest control . It is also active in seeds and plant traits .
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] templateYLabel[2] templateYLabel[3] dollars.The templateTitleSubject[0] Sox are owned by John Henry and Thomas Werner , who bought the templateYLabel[0] for 380 templateYLabel[2] templateYLabel[3] templateYLabel[4] in templateXValue[min] .
In templateXValue[max] , the templateYLabel[0] of templateYLabel[1] in templateTitleSubject[0] reached its highest point since the period . In templateXValue[max] , there were templateYValue[idxmax(X)] templateYLabel[1] in templateTitleSubject[0] had been templateYLabel[0] . Employment and labor force in templateTitleSubject[0] – additional information According to the graph at hand , absolute unemployment in templateTitleSubject[0] has gradually risen over the past decade .
This statistic shows the global templateTitle[2] of templateTitleSubject[0] templateTitle[1] in selected countries . The templateXLabel[0] with the highest rate of templateTitleSubject[0] templateTitle[1] templateTitle[2] was templateXValue[1] , with templateYValue[max] percent of templateYLabel[1] reporting that they knew about templateTitleSubject[0] templateTitle[1] . According to Ipsos , templateYValue[18] percent of global templateYLabel[1] were aware of templateTitleSubject[0] templateTitle[1] .
As of the third quarter of templateTitleDate[0] , it was found that templateYValue[max] percent of templateTitleSubject[0] users in the templateTitleSubject[1] accessed the photo sharing app templateXValue[0] a templateXValue[0] . A further templateYValue[1] percent of templateYLabel[1] claimed that they used templateTitleSubject[0] on a templateXValue[1] basis .
As of templateXValue[0] , the templateTitle[2] movie which had the highest templateYLabel[0] templateYLabel[1] at the templateTitleSubject[0] American box office was ‘ templateXValue[0] templateXValue[9] : The templateXValue[0] ' with templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] in templateXValue[idxmax(Y)] . For years , James Cameron 's 2009 hit ‘ templateXValue[2] ' ranked second with over 760 templateYLabel[2] templateYLabel[4] in box office revenue . However , the movie was knocked down to third place after the success in that year .
This statistic shows the templateTitle[2] templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[2] templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to templateYValue[max] templateYValue[idxmax(X)] 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 decreased during this period . In templateXValue[0] , this templateYLabel[0] totalled approximately templateYValue[min] templateYLabel[1] British pounds .
In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at approximately templateYValue[idxmax(X)] percent of the total labor force . The templateYLabel[0] templateYLabel[1] is the percentage 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] .
The statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . A positive value indicates a state surplus ; a negative value , a state deficit . In templateXValue[6] , the state deficit of templateTitleSubject[0] was at around 29.98 templateYLabel[2] templateYLabel[3] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] household end users in templateTitleSubject[0] templateTitle[7] from templateXValue[17] to templateXValue[0] . In the first half of templateXValue[1] , the average templateTitle[0] price templateTitle[2] templateTitle[3] was templateYValue[max] templateYLabel[0] templateYLabel[1] templateYLabel[2] kWh , a slight increase from the previous period .
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] grew by around templateYValue[6] percent templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic presents the templateTitle[2] templateTitle[3] templateYLabel[1] of mobile messaging platform templateTitleSubject[0] . In templateXValue[max] , the chat app had generated 1.03 templateYLabel[2] templateYLabel[3] templateYLabel[4] in templateTitle[2] losses , a slight improvement from 1.56 templateYLabel[2] templateYLabel[3] templateYLabel[4] in losses in the preceding templateXLabel[0] .
The templateYLabel[0] initial public offering ( templateTitleSubject[0] ) in the templateTitle[4] was templateYValue[0] templateYLabel[3] templateYLabel[4] templateYLabel[5] in templateXValue[max] . This figure gives an idea of how willing speculators in the templateTitle[4] are to invest in a company going public , which is the process of being listed on a stock exchange for the first time . Who goes public ? Most IPOs come from relatively new firms that have grown quickly .
This statistic shows the templateYLabel[0] of templateTitleSubject[0] in the templateTitle[3] templateTitle[4] templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] Corp. generated a templateYLabel[0] of templateYValue[idxmax(X)] templateYLabel[1] templateYLabel[2] templateYLabel[3] . templateTitleSubject[0] , founded in Oklahoma , templateTitle[3] in 1953 , is a drive-in fast-food restaurant chain .
The statistic shows the templateYLabel[1] templateTitle[1] in templateTitleSubject[0] in templateTitleDate[0] , templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] . In templateTitleDate[0] , about templateYValue[max] percent of the templateYLabel[1] was between 16 and 59 templateXValue[0] old . Apart from the information given on templateTitle[3] templateTitle[4] groups in this statistic , some more information is provided templateTitle[2] a timeline for the templateTitle[4] templateTitle[1] and a templateYLabel[1] breakdown templateTitle[2] smaller templateTitle[4] groups .
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)] .
This statistic presents the templateTitleSubject[0] templateTitle[1] templateTitle[2] the templateTitle[3] templateYLabel[0] templateTitle[6] from templateTitle[4] as of templateTitleDate[0] . As of this time , templateXValue[0] had the templateTitle[3] templateTitle[4] templateYLabel[0] templateYLabel[1] templateTitle[2] templateYValue[max] deaths templateTitle[2] templateTitle[4] as the underlying cause of templateYLabel[0] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This statistic presents the templateYLabel[0] templateYLabel[1] of mobile templateYLabel[2] actively used by mobile internet users in templateTitle[4] templateTitle[5] as of 2014 . During a templateXValue[0] survey , it was found that mobile internet users in templateXValue[1] used an templateYLabel[0] of templateYValue[max] mobile templateYLabel[2] on a monthly basis .
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 estimated to be at approximately templateYValue[idxmax(X)] percent .
This statistic shows the monthly templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitle[2] in templateTitleDate[0] , templateTitle[5] templateXLabel[0] . In templateTitleDate[0] , the highest templateYLabel[0] of templateYLabel[1] templateYLabel[2] in templateXValue[1] was at templateYValue[max] .
This statistic displays the templateTitle[0] templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were a templateTitle[0] of templateYValue[idxmax(X)] directory listings for templateYLabel[1] templateYLabel[2] throughout the templateTitleSubject[0] .
This statistic shows the templateTitle[1] templateTitle[2] templateTitle[3] sales of templateTitle[0] Inc. as of the fourth templateXLabel[0] of templateTitle[6] . During that period , the C2C e-commerce company generated templateYLabel[0] of templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] , up from templateYValue[1] templateYLabel[1] templateYLabel[2] templateYLabel[3] in the corresponding templateXLabel[0] of the previous year . This represents a 32.8 percent year-on-year growth .
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)] templateYLabel[2] .
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 increased , reaching templateYValue[2] templateYLabel[1] templateYLabel[2] in templateXValue[2] .
This statistic shows the templateYLabel[0] of goods and services from the templateTitle[0] between templateXValue[min] and templateXValue[max] , as a templateYLabel[1] of templateYLabel[2] . In templateXValue[max] , the templateYLabel[1] of templateTitle[0] templateYLabel[0] of the templateYLabel[2] amounted to templateYValue[idxmax(X)] percent .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateTitle[2] templateTitle[3] the world 's templateTitle[4] templateTitle[5] templateTitle[3] 1900 to templateTitleDate[0] . The templateXLabel[0] in templateXValue[2] in 1973 claimed templateYValue[2] lives . Natural disasters Natural disasters , such as earthquakes , volcanic eruption , tsunamis , floods , tornados or templateTitle[5] affect people templateTitle[6] .
This statistic presents templateTitleSubject[0] 's templateTitle[1] templateTitle[2] templateYLabel[0] templateYLabel[1] from the second templateXLabel[0] of templateTitleDate[min] to the second templateXLabel[0] of templateTitleDate[max] . As of the last reported templateXLabel[0] , templateYValue[0] percent of the group 's templateTitle[1] visits converted to purchases .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] household end users in templateTitleSubject[0] templateTitle[7] from templateXValue[17] to templateXValue[0] . In the first half of templateXValue[1] , the average templateTitle[0] price templateTitle[2] templateTitle[3] was templateYValue[max] templateYLabel[0] templateYLabel[1] templateYLabel[2] kWh . This was an increased from the previous period .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] household end users in templateTitleSubject[0] templateTitle[7] from templateXValue[17] to templateXValue[0] . In the first half of templateXValue[1] , the average templateTitle[0] price templateTitle[2] templateTitle[3] was templateYValue[min] templateYLabel[0] templateYLabel[1] templateYLabel[2] kWh , a slight increase from the previous period .
There were templateYValue[min] templateTitle[1] templateTitle[2] recorded in templateTitleSubject[0] in templateXValue[idxmin(Y)] . templateTitleSubject[0] had been able to decrease 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 increased .
This statistic shows templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateXValue[last] to templateXValue[0] . In templateXValue[1] , templateTitleSubject[0] templateTitle[1] global templateTitle[2] templateTitle[3] amounted to about templateYValue[1] templateYLabel[0] templateYLabel[1] dollars.WalmartWal-Mart was founded in 1962 by Sam Walton when he and his brother James `` Bud '' Walton opened the first Wal-Mart Discount City in Rogers , Arkansas . Since then , Wal-Mart has grown to become the largest publicly-owned retail company in the world .
In templateXValue[max] , templateTitleSubject[0] employed 196,000 people . This templateTitle[0] was below 90,000 in templateXValue[min] but rose , peaking at 205,000 in templateXValue[8] . templateTitleSubject[0] is headquartered in France , Paris but has operations around the globe .
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 increase 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 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] of adults in the templateTitleSubject[0] who were using templateTitle[0] as of 2019 , sorted templateTitle[6] templateTitle[7] . During that period of time , templateYValue[max] percent of female templateYLabel[1] stated that they used the social networking site .
This statistic displays the templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) of a typical pack of 20 templateTitle[4] in the most popular templateYLabel[2] category in the templateTitleSubject[0] ( templateTitleSubject[1] ) from templateXValue[min] to templateXValue[max] . The templateYLabel[2] of templateTitle[4] has substantially increased each templateXLabel[0] since 2000 . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] templateYLabel[2] of a 20 pack of templateTitle[4] was templateYValue[idxmax(X)] British pounds .
The templateYLabel[0] of the templateTitleSubject[0] luxury brand templateTitle[4] templateTitle[5] has increased twofold over the period surveyed , growing from roughly templateYValue[min] templateYLabel[1] templateYLabel[2] in templateXValue[idxmin(Y)] to templateYValue[max] templateYLabel[1] templateYLabel[2] in the templateXLabel[0] templateXValue[idxmax(Y)] . Despite the steady increase in templateYLabel[0] during the period considered , the templateTitle[3] reported a net loss of approximately 25 templateYLabel[1] 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 the global banana templateYLabel[0] templateTitle[3] templateTitle[4] in templateTitleDate[0] . In templateXValue[0] , some templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] of templateTitle[1] were produced in that year .
In templateXValue[max] , templateTitleSubject[0] generated around templateYValue[max] templateYLabel[1] templateYLabel[2] in templateYLabel[0] . Officially Robert templateTitleSubject[0] GmbH , the multinational engineering and electronics company is one of Germany 's top brands and among the largest engineering and electronics companies in Germany . Takeovers boost templateYLabel[0] In templateXValue[3] , the templateYLabel[0] of templateTitleSubject[0] jumped by over 20 templateYLabel[1] templateYLabel[2] .
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 increased , reaching templateYValue[2] templateYLabel[1] 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[max] , 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] percent .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitleSubject[0] in templateTitleDate[0] . In templateTitleDate[0] , the most important templateTitle[1] partner templateTitle[3] templateTitleSubject[0] was templateXValue[0] , accounting templateTitle[3] templateYValue[max] percent of all templateYLabel[2] .
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)] percent of templateTitleSubject[0] 's templateYLabel[3] templateYLabel[2] lived in templateYLabel[1] areas and cities .
This statistic represents the regional templateTitle[0] of templateTitleSubject[0] templateYLabel[1] in the last three months . As of October templateTitleDate[0] , the templateXValue[0] accounted for templateYValue[max] percent of desktop templateYLabel[1] to the visual blogging site during this period of time .
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 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 templateYLabel[0] of templateYLabel[1] of the templateTitleSubject[0] of templateTitleSubject[0] ( NAR ) has steadily increased since templateXValue[7] , reaching a membership of templateYValue[max] templateYLabel[2] in templateXValue[idxmax(Y)] , an all-time high . This trend also reflects the recovery of the property market after the financial crisis of 2007 - templateXValue[min] , as the volume of home sales began to climb from templateXValue[8] . The NAR is a North American trade templateTitleSubject[0] for real estate workers formed in 1908 and currently based in Chicago , Illinois .
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)] percent of the population accessed the templateYLabel[3] , up from templateYValue[idxmin(X)] percent in templateXValue[idxmin(Y)] . In templateXValue[2] , templateTitleSubject[0] 's population increased by approximately 2.48 percent 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 shows the templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[0] in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , there were templateYValue[idxmin(X)] templateYLabel[1] by templateYLabel[0] templateYLabel[2] 100,000 templateYLabel[4] templateYLabel[5] in the templateTitle[4] . Homicides in the templateTitle[4] The term templateYLabel[0] is used when a human being is killed by another human being .
This statistic provides templateXValue[1] on the average annual of templateTitleSubject[0] for templateTitle[1] templateTitle[2] of targeted templateTitle[3] templateTitle[4] on companies in global markets in templateTitleDate[0] . During the survey period it was found that templateXValue[0] accumulated an average templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] in annual templateXValue[2] from a targeted templateTitle[3] attack on a templateXValue[0] .
This statistic shows the templateYLabel[0] of adults in the templateTitleSubject[0] who were using templateTitle[0] as of 2019 , sorted templateTitle[6] templateTitle[7] templateTitle[8] . During that period of time , templateYValue[max] percent of templateYLabel[1] aged between 18 and 29 years stated that they used the visual blogging site .
This statistic gives information on the most popular multi-platform templateTitle[1] templateTitle[2] in the templateTitle[3] as of October templateTitleDate[0] . During that month , templateXValue[0] was ranked first with almost templateYValue[max] monthly active templateTitle[3] users . templateXValue[0] templateXValue[2] was ranked third in terms of templateTitleSubject[0] but came first in regards of mobile-only users .
The statistic shows the results of a survey concerned with the templateTitleSubject[0] why people quit their templateXValue[15] membership . templateYValue[max] percent of templateYLabel[1] said that the templateXValue[1] templateXValue[0] expensive and they templateXValue[0] afford it .
The median templateYLabel[0] earnings for templateTitle[0] templateTitle[1] increased 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)] percent of templateTitleSubject[0] 's templateYLabel[1] lived below the templateTitle[1] line .
The biggest templateTitle[3] templateTitle[4] in templateTitleSubject[0] include international players like Amazon , Inc. , Zalando SE or Apple , Inc. With a templateYLabel[1] of US $ 2 , 468.1m templateXValue[0] is leading the Italian templateYLabel[0] market directly followed by templateXValue[1] with US $ 456.9m . Third place went to templateXValue[2] with over US $ 400.0m.The templateTitle[1] 5 , mostly controled by international playersesselungaacasa.it is one of the templateTitle[1] five templateTitle[3] templateTitle[4] and the only one run by an Italian company . Esselunga Group is one of the largest retail store chain operating in northern and central templateTitleSubject[0] with numerous supermarket and superstores .
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] templateYLabel[0] 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 dropped 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 .
This statistic shows the templateYLabel[0] of templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[idxmax(X)] templateTitle[1] templateYLabel[1] in templateTitleSubject[0] .
templateYLabel[0] templateYLabel[1] templateYLabel[2] is a measure of the difference between the templateYLabel[1] income generated by templateTitle[3] or other financial institutions and the amount of templateYLabel[1] paid out to their lenders relative to the amount of their ( interest-earning ) assets . It is similar to the gross templateYLabel[2] of non-financial companies . In templateXValue[max] , the average templateYLabel[0] templateYLabel[1] templateYLabel[2] of the templateTitleSubject[0] templateTitle[3] amounted to templateYValue[idxmax(X)] percent .
The statistic depicts the templateTitle[3] templateYLabel[0] of templateTitleSubject[0] Holdings from templateTitle[5] years templateXValue[min] to templateXValue[max] . In the last templateTitle[5] templateXLabel[0] that ended 31 , templateXValue[max] , templateTitleSubject[0] reported a profit of templateYValue[0] templateYValue[idxmax(X)] templateYValue[idxmax(X)] templateYLabel[3] .
In templateTitleDate[0] , templateXValue[0] was the templateTitleSubject[0] American templateXLabel[0] with the highest templateTitle[4] templateTitle[5] templateTitle[6] templateYLabel[0] , with templateYValue[max] points . templateXValue[last] , on the other hand , had the worst templateYLabel[1] in the region with templateYValue[min] points , which shows a templateTitle[4] templateTitle[5] templateTitle[6] of 54 percent ( on average , women 's income in templateXValue[last] was estimated to be 54 percent lower than men 's ) .
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 average templateYLabel[0] of 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] . There are 17 rare earth elements and although , they may be fairly abundant in the Earth 's crust , often they occur at sparse intervals are less economically exploitable .
The statistic depicts the templateXLabel[0] of templateTitle[1] in templateTitle[6] homes in templateTitleDate[0] . In that year , templateYValue[max] templateYLabel[2] templateYLabel[0] templateYLabel[1] in the templateTitleSubject[0] had templateXValue[2] templateTitle[1] .
This statistic shows the templateTitle[2] templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[2] templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to templateYValue[max] templateYValue[idxmax(X)] templateYLabel[4] .
This statistic presents the templateYLabel[0] of templateYLabel[1] templateYLabel[2] at least one templateTitle[0] in the templateTitleSubject[0] by templateXLabel[0] in templateTitle[4] . templateXValue[0] and templateXValue[1] ranked highest with templateYValue[max] percent of templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateTitle[4] , followed templateTitle[5] the templateXValue[2] with templateYValue[2] percent .
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)] percent 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[min] , templateYValue[idxmin(X)] templateYLabel[5] people accessed the templateYLabel[3] through their templateYLabel[1] templateYLabel[2] . In templateXValue[max] , this figure is projected to amount to templateYValue[idxmax(X)] templateYLabel[5] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
The statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] in templateTitle[3] to templateTitle[4] templateTitle[5] templateTitle[6] ( templateYLabel[2] ) , with projections up until templateXValue[max] . In templateXValue[6] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to about templateYValue[min] percent of templateTitle[4] templateTitle[5] templateTitle[6] .
This statistic shows the templateYLabel[0] of templateTitleSubject[0] templateYLabel[1] in templateTitle[2] templateTitle[3] . As at 2010 , templateXValue[2] had templateYValue[2] templateYLabel[1] .
The statistic shows the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[7] in templateYLabel[2] to the templateTitle[4] templateTitle[5] templateTitle[6] ( templateYLabel[3] ) , with projections up until templateXValue[max] . The data relate to the entire Turkish state and include government templateYLabel[1] and the templateYLabel[1] of the provinces , municipalities , communes as well as social security . In templateXValue[6] , templateTitleSubject[0] 's templateYLabel[0] templateYLabel[1] amounted to around templateYValue[max] percent of the templateYLabel[3] .
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] templateYLabel[2] of the 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 templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateTitle[5] in templateTitleDate[0] , templateTitle[5] templateXLabel[0] . In that year , the majority of templateTitle[1] templateTitle[2] were based in the templateXValue[0] and Europe . In templateTitleDate[0] , there were templateYValue[max] templateTitle[1] templateTitle[2] in the templateXValue[0] .
This statistic shows the templateTitle[3] of the templateYLabel[1] templateYLabel[2] in the templateTitleSubject[0] ( templateTitleSubject[1] ) from templateXValue[min] to templateXValue[max] and visualises the predicted 'ageing templateTitle[6] ' _ . Over the 20 templateXLabel[0] period , the templateYLabel[1] templateYLabel[2] is expected to increase by 1.7 years , the largest increase predicted between templateXValue[2] and templateXValue[1] at 0.8 years .
Peanuts are a versatile and widely consumed nut in the templateTitle[0] . In templateXValue[max] , around templateYValue[0] templateYLabel[1] templateYLabel[2] of peanuts were produced in the templateTitle[0] , down from templateYValue[max] templateYLabel[1] templateYLabel[2] of peanuts in templateXValue[idxmax(Y)] . Much of these peanuts were processed into templateTitle[1] butter .
Between 2014 and 2019 , the lowest templateYLabel[0] of templateTitle[0] raindays occurred in 2014 , when just templateYValue[18] templateYLabel[1] recorded 1mm or more of templateTitle[2] . The highest templateYLabel[0] of raindays was recorded in January of the same year , at templateYValue[max] . Fourth quarter the wettest The wettest periods of the year tend to be the start and the end .
The statistic shows the templateYLabel[0] templateYLabel[1] at templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . The average templateYLabel[0] templateYLabel[1] at templateYLabel[2] in templateTitleSubject[0] in templateXValue[max] was templateYValue[idxmax(X)] templateYLabel[3] . Standard of living in templateTitleSubject[0] is one of the so-called BRIC countries , an acronym which stands for Brazil , Russia , templateTitleSubject[0] and China , the four states considered the major emerging market countries .
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 total templateYLabel[0] of templateYLabel[1] templateTitle[1] templateTitle[2] templateTitleSubject[0] Airline Company Ltd between templateXValue[min] and templateXValue[max] . In templateXValue[max] , the templateTitle[0] of templateTitle[1] templateTitle[2] generated templateYValue[idxmax(X)] templateYLabel[0] .
The statistic shows the templateTitle[0] templateTitle[1] ( templateYLabel[0] ) of the templateTitleSubject[0] templateTitle[4] club of Major League Soccer by templateTitle[0] in templateTitle[5] . templateXValue[0] received a salary of templateYValue[max] thousand templateYLabel[2] templateYLabel[3] .
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 decreased 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] .
This graph depicts the templateYLabel[1] of the templateTitleSubject[0] franchise of the National Basketball Association from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] had an estimated templateYLabel[1] of templateYValue[max] templateYLabel[2] 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] percent templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic shows a ranking of the templateTitle[0] templateTitle[1] templateTitleSubject[0] templateTitle[3] templateTitle[4] templateTitle[5] on templateTitle[6] templateYLabel[0] in templateTitleDate[0] . In that year , the templateXValue[2] templateXValue[0] in Los Angeles , templateXValue[last] , was ranked third in the templateTitle[2] , with a templateTitle[6] templateYLabel[0] of approximately templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateTitle[3] templateYLabel[0] of templateYLabel[1] templateTitle[2] in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were an average of around templateYValue[min] templateYLabel[1] that were part of the templateTitle[3] in the templateTitle[5] .
templateTitle[1] is one of the most popular grains in the templateTitle[0] , with Americans consuming around templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] of templateTitle[1] in the templateXValue[0] fiscal templateXLabel[0] . The templateYLabel[0] volume of templateTitle[1] in the templateTitle[0] has remained more or less stable between 2016 and templateTitleDate[max] . Leading consumers of templateTitle[1] A high share of the world 's templateTitle[1] templateYLabel[0] is concentrated between a few countries , namely China , India , and Indonesia .
This statistic shows the average templateYLabel[0] of templateYLabel[1] in the templateTitle[2] in templateTitleDate[0] , templateTitle[4] templateXLabel[0] . In templateTitleDate[0] , there were a total of templateYValue[max] templateYLabel[1] reported in templateXValue[0] .
This statistic shows the templateTitle[0] templateTitle[1] the templateTitle[2] templateYLabel[0] of templateYLabel[5] templateYLabel[2] in the templateTitle[6] as of templateTitle[7] templateTitle[8] . templateXValue[0] had the templateTitle[2] templateYLabel[0] of templateYLabel[5] templateYLabel[2] as templateYValue[max] percent of the templateXLabel[0] 's total templateYLabel[2] were templateYLabel[5] . In 2015 , the templateYLabel[5] restaurant chain Chipotle templateYLabel[5] Grill had 351 locations in templateXValue[2] , the templateTitle[2] number Chipotle templateYLabel[2] in the country .
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)] percent .
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[1] templateYLabel[2] ( in relation to PPP dollars ) amounted to about templateYValue[6] percent .
This statistic shows the templateTitle[0] of templateTitle[1] owning templateYLabel[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . As of templateXValue[max] , there were templateYValue[idxmax(X)] templateYLabel[1] templateYLabel[0] . The templateTitle[0] of templateYLabel[0] increased during the period in consideration .
As of templateTitleDate[0] , templateYValue[max] percent of U.S.-based templateYLabel[1] stated that their favorite moving watching location was at templateXValue[1] . Only around templateYValue[0] percent of templateYLabel[1] stated that they templateTitle[0] to watch movies in a theatre , while templateYValue[3] percent stated that they like the theatre and templateXValue[1] options templateXValue[3] . templateXValue[0] viewership Movies have long been a staple of the entertainment industry in templateXValue[3] the templateTitle[4] and across the globe .
This statistic presents the templateYLabel[0] of templateYLabel[1] templateTitleSubject[0] chat app templateYLabel[2] from the first templateXLabel[0] of templateTitleDate[min] to the fourth templateXLabel[0] of templateTitleDate[max] , in templateYLabel[2] templateYLabel[6] . During the most recently reported templateXLabel[0] , the online company 's templateTitleSubject[0] amounted to templateYValue[max] templateYLabel[5] templateYLabel[6] , up from templateYValue[min] templateYLabel[4] in the first templateXLabel[0] of templateTitleDate[min] .
The statistic shows the templateYLabel[0] of templateTitle[4] templateTitle[1] for electricity generation in the templateTitle[0] between templateXValue[min] and templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] templateTitle[1] templateYLabel[0] derived templateTitle[3] templateTitle[4] came to approximately templateYValue[idxmax(X)] templateYLabel[1] templateYLabel[2] templateYLabel[3] of this fossil fuel . Coal-fueled electricity generation in the templateTitle[0] The templateYLabel[0] of templateTitle[4] has risen steadily templateTitle[3] the 1950s to the present .
This statistic shows the templateYLabel[0] of templateYLabel[1] led templateTitle[6] a female householder with no spouse present with own children under 18 years living in the household in the templateTitleSubject[0] in templateTitleDate[0] , templateTitle[6] templateXLabel[0] . In templateTitleDate[0] , about templateYValue[20] percent of Californian templateYLabel[1] were templateTitle[1] templateTitle[2] templateYLabel[1] with at least one child . Additional information on templateTitle[1] templateTitle[2] templateYLabel[1] and poverty in the templateXValue[18] For most templateTitle[1] mothers a constant battle persists between finding the time and energy to raise their children and the demands of working to supply an income to house and feed their families .
This statistic shows the estimated templateYLabel[0] of templateYLabel[1] templateTitle[2] templateTitle[3] to templateTitle[4] templateTitle[5] in templateTitleSubject[1] from templateXValue[last] to templateXValue[0] . In templateXValue[0] , the templateYLabel[0] of templateYLabel[1] templateTitle[2] templateTitle[3] to templateTitle[4] templateTitle[5] amounted to approximately templateYValue[min] templateYLabel[2] templateYLabel[1] templateTitle[2] , the lowest amount in the provided time interval .
This statistic shows the templateTitle[0] templateYLabel[0] templateYLabel[1] of e-Readers from templateXValue[min] to templateXValue[max] . In templateXValue[2] , templateYValue[2] templateYLabel[2] units of e-Readers were shipped worldwide .
This statistic shows the templateYLabel[0] of templateTitleSubject[0] internet users who have used templateTitle[2] templateTitle[3] templateTitle[4] as of templateTitleDate[0] , sorted templateTitle[6] templateXLabel[0] . During the survey period , templateYValue[max] percent of templateYLabel[1] from templateXValue[0] said that they had used templateTitle[2] templateTitle[3] templateTitle[4] in the past six months . In the templateXValue[5] , templateYValue[5] percent of internet users used templateTitle[2] templateTitle[3] templateTitle[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)] percent .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitleSubject[0] in templateTitleDate[0] . In templateTitleDate[0] , the most important templateTitle[1] partner templateTitle[3] templateTitleSubject[0] were the templateXValue[0] , accounting templateTitle[3] templateYValue[max] percent of all templateYLabel[2] .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitle[4] from templateXValue[min] to 20 templateYValue[idxmin(X)] templateXValue[max] . As of 20 , templateXValue[max] , there were templateYValue[idxmax(X)] templateYValue[idxmax(X)] templateYLabel[2] in the templateTitle[4] . templateXValue[1] had the highest templateYLabel[0] of templateYLabel[1] templateYLabel[2] , with templateYValue[max] .
The templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] fell to around templateYValue[min] percent in templateXValue[idxmin(Y)] from templateYValue[1] percent in the templateXLabel[0] before . For many economies , this would be considered overemployment , but templateTitleSubject[0] may have a lower natural templateYLabel[0] templateYLabel[1] than other economies . What 's wrong with overemployment ? When there are not enough workers , firms are forced to hire anyone who is available .
This statistic shows the templateTitle[1] templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , about templateYValue[idxmax(X)] percent of templateTitleSubject[0] 's templateYLabel[1] lived below the templateTitle[1] line .
This statistic gives information on the templateTitle[2] templateYLabel[0] of the chat-app templateTitleSubject[0] . In the fourth templateXLabel[0] of templateTitleDate[max] , the Japanese chat templateTitle[1] had generated templateYValue[max] templateYLabel[1] templateYLabel[2] in revenues . This figure translates to approximately 247 templateYLabel[1] US dollars .
This statistic presents the templateYLabel[0] of templateYLabel[1] templateYLabel[2] at least one templateTitle[0] in the templateTitleSubject[0] by templateXLabel[0] in templateTitle[4] . templateXValue[0] and templateXValue[1] ranked highest with templateYValue[max] percent of templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateTitle[4] , followed templateTitle[5] the templateXValue[2] with templateYValue[2] percent .
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)] templateYLabel[1] templateYLabel[2] dollars.The templateTitleSubject[0] are owned by Robert Castellini , who bought the franchise for 270 templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateXValue[12] .
This statistic shows the results of a templateTitleDate[0] survey among templateTitleSubject[0] templateTitle[1] aged 18 to 60 about their stance on templateXValue[0] on templateTitle[4] . They were asked how they would manage to templateXValue[0] on templateTitle[4] templateTitle[5] templateTitle[6] a templateXValue[0] with others . templateYValue[max] percent of the templateTitle[1] stated templateXValue[1] they would templateXValue[0] when templateXValue[0] is in the templateXValue[0] .
The statistic shows the templateYLabel[0] of templateTitleSubject[0] survey templateYLabel[1] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] with sensitive information templateTitle[8] or templateTitle[7] , while traveling . templateYValue[max] percent of templateYLabel[1] templateTitle[4] templateTitle[8] or templateTitle[5] a templateXValue[0] templateTitle[7] whilst traveling .
This statistic shows templateTitleSubject[0] 's total templateYLabel[0] between templateXValue[min] and templateXValue[max] . templateTitleSubject[0] Oil Field Services Ltd is one of the world templateTitle[2] largest templateTitleSubject[0] oil and natural gas service companies . In templateXValue[max] , the company brought in a total templateYLabel[0] of around templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
How many templateTitle[0] templateTitle[1] templateTitle[2] does templateTitleSubject[0] have ? As of the fourth templateXLabel[0] of templateTitleDate[max] , photo and video sharing app templateTitleSubject[0] had templateYValue[max] templateYLabel[2] templateTitle[0] templateTitle[1] templateTitle[2] worldwide , up from templateYValue[4] templateYLabel[2] global templateYLabel[1] in the corresponding templateXLabel[0] of 2018 . templateTitleSubject[0] is relevant for teenagers Originally launched in 2011 , templateTitleSubject[0] has become one of the most popular social messaging and photo sharing apps worldwide ; making its CEO and co-founder Evan Spiegel one of the world 's richest social media entrepreneurs . With an estimated templateYValue[min] templateYLabel[2] monthly templateTitle[1] templateTitle[2] in the country , templateTitleSubject[0] easily ranks among the most popular social apps in the country .
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 decreasing templateTitle[0] templateTitle[1] , the total population of templateTitleSubject[0] is expected to increase over the next few years .
This statistic shows the templateTitle[2] expensive templateTitle[0] templateTitle[3] a monthly templateTitleSubject[0] subscription templateTitle[6] as of 2019 . The data reveals that templateXValue[0] was the templateTitle[2] expensive place in the world to get templateTitleSubject[0] , with a monthly subscription costing templateYValue[min] templateYLabel[1] templateYLabel[2] . In templateXValue[2] , the monthly price templateTitle[3] a templateTitleSubject[0] subscription amounted to templateYValue[2] templateYLabel[1] templateYLabel[2] , and Mexican subscribers paid templateYValue[3] templateYLabel[1] templateYLabel[2] per month to use the streaming service .
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] percent .
The statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] between templateXValue[min] and templateXValue[max] . In templateXValue[max] , around templateYValue[idxmax(X)] templateYLabel[1] templateYLabel[2] were recorded in templateTitleSubject[0] . In templateXValue[idxmin(Y)] templateTitleSubject[0] was the country with the third-most templateYLabel[1] templateYLabel[2] and the sixth-most fatalities due to templateTitle[0] worldwide .
This timeline 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)] templateYLabel[1] 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 .
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] percent of the country 's templateTitle[3] templateTitle[4] templateTitle[5] .
As of the third quarter of templateTitleDate[0] , it was found that templateYValue[max] percent of templateTitleSubject[0] users in the templateTitleSubject[1] accessed the photo sharing app templateXValue[0] a templateXValue[0] . A further templateYValue[1] percent of templateYLabel[1] claimed that they used templateTitleSubject[0] on a templateXValue[1] basis .
templateYLabel[0] templateYLabel[1] templateYLabel[2] is a measure of the difference between the templateYLabel[1] income generated by templateTitle[3] or other financial institutions and the amount of templateYLabel[1] paid out to their lenders relative to the amount of their ( interest-earning ) assets . It is similar to the gross templateYLabel[2] of non-financial companies . In templateXValue[max] , the average templateYLabel[0] templateYLabel[1] templateYLabel[2] of the templateTitleSubject[0] templateTitle[3] amounted to templateYValue[idxmax(X)] percent .
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] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] of templateTitleSubject[0] worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] employed approximately templateYValue[0] templateYValue[idxmax(X)] templateYLabel[1] templateYLabel[2] . templateTitleSubject[0] was founded in 1890 in Berlin as a transport and accident insurer .
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] templateYLabel[1] templateYLabel[2] templateXValue[6] templateYLabel[4] templateYLabel[5] .
As of templateTitleDate[0] , there were 52 templateTitle[2] templateYLabel[1] templateTitle[4] templateTitle[5] worldwide , with the majority being built in templateXValue[0] . Comparatively , there were 186 templateTitle[2] templateYLabel[1] shut down permanently as of that year . The templateXValue[3] templateXValue[9] had permanently shut down 37 templateTitle[2] facilities as of 2020 .
This statistic illustrates 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 templateYLabel[1] British pounds . Between templateXValue[min] and templateXValue[1] , the company made a templateTitle[4] templateYLabel[0] higher than templateYValue[7] templateYLabel[1] British pounds 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 templateYLabel[1] British pounds .
The statistic shows templateTitle[1] templateTitle[2] templateYLabel[0] templateYLabel[1] in the templateTitle[0] between templateXValue[min] and templateXValue[max] . Here , the templateYLabel[1] of templateYLabel[0] derived from templateTitle[1] fuels came to approximately templateYValue[0] templateYLabel[2] British thermal units in templateXValue[max] . templateTitle[1] templateTitle[2] energies – additional informationFossil fuels are hydrocarbon-containing natural resources formed from the remains of dead plants or animals that have been subject to immense pressure from a buildup of layers over millions of years .
While nearly two-thirds of templateTitleSubject[0] remains rural , templateTitle[0] has grown by seven percent from templateXValue[last] to templateXValue[0] . Political reforms in the 1980s created greater economic stability in templateTitleSubject[0] in the decade that followed and led to higher templateTitle[0] . The growing templateXLabel[2] of templateTitleSubject[0] , as well as people migrating from rural areas , contributes to an escalating number of inhabitants in the country 's already crowded cities .
The templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] fell to around templateYValue[min] percent in templateXValue[idxmin(Y)] from templateYValue[1] percent in the templateXLabel[0] before . For many economies , this would be considered overemployment , but templateTitleSubject[0] may have a lower natural templateYLabel[0] templateYLabel[1] than other economies . What 's wrong with overemployment ? When there are not enough workers , firms are forced to hire anyone who is available .
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)] percent .
More than 7,000 templateTitle[1] and templateTitle[2] with a weight of over 3.5 metric tons were registered the templateXValue[0] in templateTitleDate[0] . The UK accounted for the largest share of medium and heavy bus and coach templateYLabel[0] in the European Union in templateTitleDate[0] . Great Britain and Northern templateXValue[15] officially withdrew from the EU on 31 , 2020
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 .
This statistic presents the templateYLabel[0] of templateYLabel[1] at templateTitleSubject[0] templateTitle[3] P Global from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] templateTitle[3] P Global , formerly McGraw-Hill Financial , employed approximately templateYValue[max] persons .
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] templateYLabel[2] templateYLabel[3] templateYLabel[4] . The templateTitleSubject[0] are owned by Jerry Jones who bought the templateYLabel[0] for 150 templateYLabel[2] templateYLabel[3] templateYLabel[4] in 1989 .
This statistic shows the templateTitle[2] templateTitle[3] of templateTitleSubject[0] regarding templateTitle[5] or templateTitle[6] templateTitle[7] in templateTitleDate[0] . During this survey , templateYValue[max] percent of templateYLabel[1] stated they think templateTitle[5] or templateTitle[6] templateTitle[7] are templateXValue[0] , while templateYValue[min] percent said it templateXValue[2] on the situation .
This statistic shows the member states of the templateYLabel[0] of the templateYLabel[1] templateYLabel[2] in the member templateTitle[5] in templateTitleDate[0] . In the templateXValue[0] ( UK ) , approximately templateYValue[max] percent of the templateYLabel[1] templateYLabel[2] in templateTitle[5] .
The statistic shows the number of publicly owned , private and commercial motorcycles registered in templateTitleSubject[0] states and the District of Columbia in templateTitleDate[0] . In that year , there were about 27,800 registered motorcycles in templateXValue[49] . templateTitleSubject[0] templateTitle[1] templateYLabel[0] templateTitle[3] templateXLabel[0] In 2016 , templateXValue[0] reported the highest amount of registered private and commercial motorcycles in the country , followed templateTitle[3] templateXValue[1] , templateXValue[2] , templateXValue[4] and templateXValue[3] ( all of them with over 390,000 templateYLabel[0] that year ) .
This statistic shows the templateTitleSubject[0] templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[idxmax(X)] percent of templateTitleSubject[0] 's templateYLabel[1] lived below the templateTitleSubject[0] line .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[0] ( templateTitleSubject[0] ) of the templateTitle[5] templateTitle[6] templateXLabel[1] templateTitle[7] templateXLabel[3] to templateTitle[7] templateXLabel[5] . In templateTitle[7] templateXLabel[5] , the templateTitle[0] EMI was at templateYValue[last] points .
The statistic shows which templateTitle[1] templateTitle[2] are templateTitleSubject[0] to U.S. survey templateYLabel[1] templateTitle[3] templateTitle[4] a templateTitle[5] templateXValue[10] in templateTitleDate[0] . During the survey , templateYValue[1] percent of templateYLabel[1] cited templateXValue[1] as templateTitleSubject[0] templateTitle[3] templateTitle[4] a templateTitle[5] templateXValue[10] .
This statistic displays the templateTitle[0] templateYLabel[0] of templateTitle[2] in the templateTitleSubject[0] ( templateTitleSubject[1] ) from templateTitleDate[min] to templateTitleDate[max] . The templateTitle[0] templateYLabel[0] of templateTitle[2] was valued at templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] in 2017 , an decrease on the templateYLabel[0] in 2016 . The source notes high volatility for weekly prices .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateTitle[2] in templateTitleDate[0] . In templateTitleDate[0] , at least templateYValue[1] people were executed in templateXValue[1] . The figures represent minimum values according to Amnesty International .
In templateTitleDate[0] , there were about templateYValue[0] templateYLabel[2] templateYLabel[1] ( here classified as people living in a country in which they were not born in ) in templateTitleSubject[0] out of a total population of about 5.7 templateYLabel[2] . templateYLabel[1] made up a significant share of the population and play a crucial role in templateTitleSubject[0] , where the birth rate was among the lowest in the world . templateTitleSubject[0] 's immigrant population The immigrant population of templateTitleSubject[0] made up slightly more than 40 percent of the total population of the country in 2018 .
This statistic illustrates the countries with the largest templateYLabel[0] of templateTitle[3] templateTitle[4] templateYLabel[1] in templateTitleSubject[0] and the Caribbean as of templateTitleDate[0] . templateXValue[0] led the ranking , with templateYValue[max] soldiers , followed templateTitle[7] templateXValue[1] , with templateYValue[1] .
This statistic shows the templateYLabel[0] of merger and acquisition templateYLabel[1] in the templateTitle[3] templateTitle[4] and templateTitle[5] templateTitle[6] industry from templateXValue[min] to templateXValue[max] YTD . In templateXValue[max] , aggregate templateYLabel[1] totaled some templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] templateYLabel[4] . templateTitleSubject[0] templateTitle[2] A templateYLabel[1] provide investors with an exit strategy from smaller and private companies .
The statistic shows the total templateTitleSubject[0] templateYLabel[0] in the global templateTitle[2] templateTitle[3] from templateXValue[min] to templateXValue[max] . In templateXValue[1] , approximately templateYValue[1] templateYLabel[1] people attended a templateTitleSubject[0] . templateYLabel[0] includes templateTitle[2] The templateTitle[3] templateTitle[4] .
This timeline shows the total templateYLabel[0] of templateTitle[3] templateTitle[4] of the templateTitle[0] templateTitle[1] templateTitle[2] from templateTitleSubject[0] templateTitleDate[min] to templateTitleDate[max] . As of 2018 , there were templateYValue[0] templateYLabel[1] with the templateTitle[0] templateTitle[1] templateTitle[2] .
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] percent 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 .
In templateXValue[max] , the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] amounted to approximately templateYValue[max] templateYValue[idxmax(X)] . In templateXValue[idxmin(Y)] , Europe was ranked third continent in terms of degree of urbanization . 80 percent of the European templateYLabel[2] was living in cities in templateXValue[max] , but this figure is expected to decrease by 2050 .
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 .
Social network templateTitleSubject[0] is particularly popular in the templateXValue[0] , where as of 2020 , the microblogging service had templateYLabel[0] reach of templateYValue[max] templateYLabel[1] templateTitle[4] . templateXValue[1] and the templateXValue[0] templateXValue[2] were ranked second and third templateTitle[1] templateYValue[1] and templateYValue[2] templateYLabel[1] templateTitle[4] respectively . Global templateTitleSubject[0] usage As of the fourth quarter of 2019 , templateTitleSubject[0] had 152 templateYLabel[1] monetizable daily active templateTitle[4] worldwide .
The templateYLabel[0] of templateYLabel[1] in templateTitleSubject[0] has been decreasing every templateXLabel[0] , amounting to templateYValue[min] in templateXValue[idxmin(Y)] . In comparison , there were templateYValue[max] templateYLabel[1] in templateXValue[idxmax(Y)] . The templateYLabel[0] of hospital beds has been dropping also , from 571,600 in templateXValue[min] to 497,200 recorded in templateXValue[max] .
This statistic shows the total templateTitleSubject[0] ( UK ) templateTitle[6] templateYLabel[0] templateYLabel[1] templateYLabel[2] from fiscal templateXLabel[0] templateXValue[last] to fiscal templateXLabel[0] templateXValue[0] . The overall trend was one of increase , seeing a peak in templateXValue[0] with 27.99 templateYLabel[3] British pounds and a total rise of over 5 templateYLabel[3] British pounds throughout this period .
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 templateTitleSubject[0] 's templateTitle[1] templateTitle[2] templateYLabel[0] from the second templateXLabel[0] year to the second templateXLabel[0] of templateXValue[0] . In the second templateXLabel[0] of templateXValue[0] , templateTitleSubject[0] 's templateTitle[1] templateTitle[2] amounted to around templateYValue[max] templateYLabel[1] templateYLabel[2] .
This statistic gives information on the templateTitle[1] templateYLabel[0] of templateTitleSubject[0] templateTitle[3] templateTitle[4] in the fourth templateXLabel[0] of templateXValue[0] . In the third templateXLabel[0] of templateXValue[0] , templateTitleSubject[0] announced templateYValue[5] templateYLabel[1] templateYLabel[2] templateYLabel[3] had an increase of templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] , up from templateYValue[min] templateYLabel[1] templateYLabel[2] templateYLabel[3] in the first templateXLabel[0] of the previous year .
This statistic shows the amount of radioactive waste stored in selected countries . In templateXValue[3] , the stockpile of templateYLabel[0] power-reactor templateYLabel[1] amounted to templateYValue[3] templateYLabel[3] of templateYLabel[4] templateYLabel[5] .
In templateTitleDate[0] , templateTitleSubject[0] boasted some of the most expensive residential real estate templateTitle[3] in the country . A ranking of the priciest templateXLabel[0] of the templateXValue[10] templateTitle[2] residential templateTitle[3] showed that home buyers could expect to pay on templateTitle[0] almost templateYValue[max] million templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] in the district templateXValue[0] ( historical templateXValue[10] center ) . In templateTitleSubject[0] , renting a dwelling also comes at a cost .
The statistic shows the templateYLabel[0] of templateTitleSubject[0] subscribers as of 2019 , templateTitle[5] templateXLabel[0] . At that time , there was a total templateYLabel[0] of close to templateYValue[max] templateYLabel[1] templateYLabel[2] . The templateTitleSubject[0] templateXValue[5] - templateXValue[14] is the company 's most expensive model Along with Airbus , Embraer , and Bombardier Aerospace , templateTitleSubject[0] is one of the world 's four largest templateXLabel[0] manufacturers .
This statistic illustrates the templateTitle[5] five importing templateTitle[7] of templateTitle[3] into the templateTitleSubject[0] ( templateTitleSubject[1] ) in templateTitleDate[0] , ranked templateTitle[9] templateYLabel[0] templateYLabel[1] . templateXValue[0] ranked highest , with templateTitle[3] templateTitle[4] valuing approximately 697 million British pounds , followed templateTitle[9] templateXValue[1] accounting for 680 million British pounds worth of templateTitleSubject[1] templateTitle[4] . templateTitle[4] of templateTitle[3] to the templateTitleSubject[1] predominantly come from the European Union , with the majority of consumers drinking templateTitle[3] on a weekly basis .
This statistic displays the templateYLabel[0] of templateYLabel[1] templateTitle[2] in the templateTitleSubject[0] ( templateTitleSubject[1] ) in templateTitleDate[0] , templateTitle[7] templateXLabel[0] templateXLabel[1] . In templateTitleDate[0] , there were approximately templateYValue[min] thousand templateYLabel[1] in the templateTitleSubject[0] .
This statistic shows the templateTitle[2] templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[2] templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to templateYValue[max] templateYValue[idxmax(X)] templateYLabel[4] .
This statistic shows the templateYLabel[0] of templateYLabel[1] of templateTitleSubject[0] worldwide in templateTitleDate[0] , templateTitle[3] templateTitle[4] templateXLabel[0] . In templateXValue[2] templateXValue[1] , the company employed approximately templateYValue[2] percent of the total people working for templateTitleSubject[0] .
This statistic shows the trade volume of templateYLabel[0] imported to the templateTitle[0] templateTitle[3] templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYLabel[0] templateYLabel[1] to the templateTitleSubject[0] came to templateYValue[idxmax(X)] thousand templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] of templateTitle[2] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . templateTitle[2] templateYLabel[1] in short-stay templateTitle[3] in templateTitleSubject[0] have generally increased over this period , from around templateYValue[9] templateYLabel[2] in templateXValue[min] to approximately templateYValue[idxmax(X)] templateYLabel[2] by templateXValue[idxmax(Y)] .
In templateXValue[max] , an estimated templateYValue[idxmax(X)] templateYLabel[1] smartwatches were sold in the templateTitle[4] . Between templateXValue[min] and templateXValue[max] templateXValue[idxmax(Y)] templateTitleSubject[0] templateYLabel[0] grew from just templateYValue[min] thousand templateYLabel[2] to over templateYValue[max] templateYLabel[1] as these devices skyrocketed in popularity . Smartwatches While digital wristwatches have been around for decades , true smartwatches are a relatively new phenomena in the consumer electronics industry .
The templateTitle[1] rate in templateTitleSubject[0] has been decreasing throughout recent years . In templateXValue[max] , approximately templateYValue[idxmax(X)] percent of the Mexicans were living on less than templateTitle[4] templateTitle[5] templateTitle[6] per templateTitle[7] , down from templateYValue[max] percent of the previous templateXLabel[0] .
The statistic shows the total templateYLabel[0] of the European templateTitle[2] soccer templateTitle[0] in the templateTitleSubject[0] ( templateTitleSubject[1] ) from templateXValue[min] to templateXValue[max] . In templateXValue[min] , the templateTitle[2] templateYLabel[0] of the templateTitleSubject[0] amounted to templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
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] templateYLabel[2] templateYLabel[3] templateYLabel[4] . The templateTitleSubject[0] Royals are owned by Rogers Communications , who bought the templateYLabel[0] for 137 templateYLabel[2] templateYLabel[3] templateYLabel[4] in 2000 .
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)] templateYLabel[2] .
This survey was aimed at assessing the templateTitle[0] spending habits in the United Kingdom ( templateTitleSubject[0] ) in the year templateTitleDate[0] , posing the question `` How much are you planning to spend templateTitle[3] templateTitle[4] on templateTitle[0] templateTitle[6] ? '' . Whereas the templateYValue[0] percent of surveyed shoppers reported planning to spend templateXValue[0] 50 British Pounds templateTitle[3] templateTitle[4] , templateYValue[4] percent mentioned spending templateXValue[4] templateXValue[0] templateXValue[3] British Pounds .
This graph depicts the total templateTitle[0] templateTitle[1] templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] 49ers 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 20 templateTitle[0] templateTitle[1] the templateTitle[2] templateYLabel[1] of the templateTitle[4] templateTitle[5] templateTitle[6] ( templateYLabel[0] ) in templateTitleDate[0] . In templateTitleDate[0] , templateXValue[0] ranked first templateTitle[1] an estimated templateYLabel[0] templateYLabel[1] of approximately templateYValue[max] percent templateYLabel[2] to the templateYLabel[3] templateYLabel[4] . templateYLabel[0] around the world templateTitle[4] templateTitle[5] templateTitle[6] ( templateYLabel[0] ) is an indicator of the monetary value of all goods and services produced by a nation in a specific time period .
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] percent 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] templateYLabel[1] templateYLabel[0] .
This statistic gives information on the templateTitleSubject[0] templateTitle[1] online and tech templateTitle[3] in templateTitleDate[0] , based on templateYLabel[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] . Food delivery templateXLabel[0] templateXValue[0] went public in 2014 and was ranked first with a templateYLabel[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] of templateYValue[max] percent .
This graph shows the templateYLabel[0] of templateTitle[0] templateTitleSubject[0] ( PACs ) active in the country in templateTitleDate[0] , distinguished templateTitle[5] templateXLabel[0] templateXLabel[1] . In templateTitleDate[0] , there were templateTitle[3] templateYValue[1] active templateXValue[1] templateTitle[0] active templateTitleSubject[0] in the country .
The statistic shows the templateTitle[0] templateTitle[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the templateTitle[0] templateTitle[1] of templateTitleSubject[0] amounted to around templateYValue[6] templateYLabel[1] templateYLabel[0] . See the figures for the templateTitle[1] of South Korea for comparison .
At the beginning of templateTitleDate[0] , templateYValue[0] percent of templateTitle[0] templateTitle[1] an online video or music templateTitle[3] confirmed that they had an active templateTitleSubject[0] templateTitle[3] at the time of survey . templateXValue[1] and Gen-Xers were more likely to have a templateTitleSubject[0] templateTitle[3] than their older peers , which comes as no surprise given that templateTitleSubject[0] is considered the most indispensable TV and video source among templateTitle[0] aged between 16 to 34 years old . One of the most appealing aspects of templateTitleSubject[0] for viewers is the availability of original content , which has fast become one of the keys to the company 's success .
This statistic shows the templateTitle[0] templateTitle[1] templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . For templateXValue[1] , the templateTitle[0] templateTitle[1] templateYLabel[0] templateYLabel[1] amounted to templateYValue[0] percent .
This statistic illustrates the forecast templateYLabel[0] templateYLabel[1] of templateTitle[1] worldwide in templateTitleDate[0] , templateTitle[4] leading templateXLabel[0] . The estimated templateTitle[1] templateTitle[2] of the templateXValue[1] were amounted to approximately templateYValue[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] in templateTitleDate[0] .
This statistic presents the templateTitle[0] networking reach in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , templateYValue[idxmin(X)] percent of the templateYLabel[1] in the country accessed templateTitle[0] templateTitle[1] . In templateXValue[4] , this templateYLabel[0] is projected to reach templateYValue[4] percent .
The timeline shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[6] and templateTitle[7] 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[6] and templateTitle[7] templateTitle[5] amounted to approximately templateYValue[idxmax(X)] templateYLabel[3] in templateXValue[max] .
The timeline shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[6] and templateTitle[7] 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[6] and templateTitle[7] templateTitle[5] amounted to approximately templateYValue[idxmax(X)] templateYLabel[3] in templateXValue[max] .
This statistic shows the templateYLabel[0] of templateTitle[0] templateYLabel[1] templateYLabel[2] in templateTitle[4] templateTitle[5] in templateTitleSubject[0] templateTitle[7] . The prices concern unleaded premium ( 95 RON ) for templateXValue[1] , templateXValue[3] , templateXValue[0] , templateXValue[4] , and the templateXValue[2] , and regular unleaded for templateXValue[6] , templateXValue[5] , and the templateXValue[2] templateXValue[last] . In templateTitleSubject[0] templateTitle[7] , the templateTitle[0] templateYLabel[0] templateYLabel[1] templateYLabel[2] in the templateXValue[2] templateXValue[last] stood at 0.675 templateYLabel[3] templateYLabel[4] templateYLabel[1] templateYLabel[2] .
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 .
The statistic shows the templateTitle[1] of templateTitle[2] templateTitleSubject[0] as templateYLabel[0] of total e-mail templateYLabel[2] from templateXValue[min] to templateXValue[max] . In the most recently reported period , templateTitleSubject[0] messages accounted for templateYValue[idxmax(X)] percent of e-mail templateYLabel[2] worldwide , down from templateYValue[9] percent in templateXValue[9] .
The timeline shows templateTitleSubject[0] templateTitle[1] templateTitle[3] templateYLabel[0] since templateXValue[min] . In templateXValue[max] , the local review and search site templateTitle[1] templateYLabel[0] amounted to over templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] , an increase from 952.8 templateYLabel[1] templateYLabel[2] templateYLabel[3] compared the previous templateXLabel[0] .
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 fiscal templateXLabel[0] templateXValue[max] , the templateTitle[3] templateYLabel[0] of the templateTitleSubject[0] amounted to approximately templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] , down from about templateYValue[1] templateYLabel[1] templateYLabel[3] in the previous fiscal templateXLabel[0] . Revenues of the Tokyo-based e-commerce company were generated through its online shopping business , templateTitleSubject[0] Ichiba , credits and payments as well as other business activities .
The total templateYLabel[0] of templateTitle[1] templateYLabel[1] fluctuated in the past years in templateTitleSubject[0] . Since templateXValue[5] , the templateYLabel[0] of templateTitle[1] templateYLabel[1] increased generally . As of templateXValue[max] , there were approximately templateYValue[0] thousand templateTitle[1] templateYLabel[1] registered .
This statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of the Norwegian 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)] .
In templateXValue[max] , there were templateYValue[idxmax(X)] templateTitle[1] templateTitle[2] templateYLabel[1] across the templateTitle[4] . This was a decrease from templateXValue[min] , when there were templateYValue[2] templateTitle[1] templateTitle[2] templateYLabel[1] across the nation . templateTitle[1] templateTitle[2] in the templateTitleSubject[0] templateTitle[1] templateTitle[2] in the templateTitle[4] refers to colleges and universities in the country .
At the beginning of templateTitleDate[0] , templateYValue[0] percent of templateTitle[0] templateTitle[1] an online video or music templateTitle[3] confirmed that they had an active templateTitleSubject[0] templateTitle[3] at the time of survey . templateXValue[1] and Gen-Xers were more likely to have a templateTitleSubject[0] templateTitle[3] than their older peers , which comes as no surprise given that templateTitleSubject[0] is considered the most indispensable TV and video source among templateTitle[0] aged between 16 to 34 years old . One of the most appealing aspects of templateTitleSubject[0] for viewers is the availability of original content , which has fast become one of the keys to the company 's success .
This statistic presents the templateTitle[0] of templateTitle[1] templateTitle[2] templateTitle[3] per day in the templateTitleSubject[0] between templateTitle[7] and templateTitle[8] , templateTitle[9] templateTitle[10] . In this templateYValue[min] templateXLabel[0] period , individuals aged between 11 and 18 templateXValue[0] old templateTitle[3] templateYValue[max] templateYLabel[1] of templateTitle[1] templateTitle[2] per day .
The statistic shows the templateYLabel[0] of templateYLabel[1] templateTitle[2] templateTitle[3] in the templateTitle[4] from templateXValue[min] to templateTitleDate[max] . In templateTitleDate[max] , about templateYValue[idxmax(X)] templateYLabel[1] in the templateTitleSubject[0] were committed templateTitle[2] templateTitle[3] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitleSubject[0] templateTitle[3] titles templateTitle[5] as of 2019 . With templateYValue[max] templateYLabel[1] templateYLabel[2] sold templateTitle[5] , templateXValue[0] 7 was the templateTitle[0] templateTitle[1] templateTitleSubject[0] templateTitle[3] game as of 2019 .
This statistic shows the templateTitleSubject[0] templateTitle[1] templateTitle[2] in the templateTitle[3] as rated according to the templateYLabel[0] templateYLabel[1] for templateTitleDate[0] . In templateTitleDate[0] , the templateTitleSubject[0] templateTitle[1] templateXLabel[0] in the templateTitle[3] was considered to be templateXValue[0] with a templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateYValue[max] . Quality of life around the templateTitle[3] The economic indicator , templateYLabel[0] templateYLabel[1] was created by Arthur Okun .
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 percent of templateTitle[4] templateTitle[5] templateTitle[6] . See templateYLabel[2] of templateTitleSubject[0] for additional information .
This statistic shows the total volume of templateYLabel[0] imported to the templateTitle[0] templateTitle[3] templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYLabel[0] templateYLabel[1] to the templateTitleSubject[0] came to templateYValue[idxmax(X)] thousand templateYLabel[2] templateYLabel[3] .
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] grew by around templateYValue[6] percent templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic shows the total 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 million templateYLabel[2] were templateYLabel[3] in the templateTitle[3] .
This graph shows the total 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 million templateYLabel[2] were templateYLabel[3] in the templateTitle[3] .
The statistic shows the templateYLabel[0] of the templateTitleSubject[0] children company from the templateXValue[last] season to the templateXValue[0] season . In templateXValue[0] , the estimated templateYLabel[0] of the National templateTitleSubject[0] was templateYValue[max] templateYLabel[1] templateYLabel[2] .
This statistic illustrates the proportion of templateTitle[3] templateTitle[4] who read magazines outside of class in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . The percentage of school children aged 8 to 18 years who read magazines declined since templateXValue[min] , and was templateYValue[idxmax(X)] percent in templateXValue[idxmin(Y)] . Magazines ranked highly among media read templateTitle[2] templateTitle[3] templateTitle[4] .
The statistic shows the templateYLabel[0] templateTitle[1] templateYLabel[1] in the templateTitle[5] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[0] templateYValue[idxmax(X)] templateYLabel[2] templateTitle[1] templateYLabel[1] in the templateTitle[5] , up from templateYValue[13] templateYLabel[2] in templateXValue[13] .
The templateTitleSubject[0] templateTitle[1] energy templateTitle[3] is expected to reach templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] in templateXValue[idxmax(Y)] , in comparison to templateYValue[min] templateYLabel[2] templateYLabel[3] templateYLabel[4] in templateXValue[idxmin(Y)] . templateTitle[1] energy is one of the most popular renewable energy sources and in recent years more capacity was deployed than traditional energy sources . The success related to the templateTitle[1] energy segment can be attributed to the declining cost of installing templateTitle[1] photovoltaic systems .
This statistic displays the total templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitleSubject[0] ( UK ) from templateTitle[4] to templateTitle[5] . The largest single year on year increase came from 1919 to 1920 , not long after the end of the First World War , when templateYLabel[2] increased by 300,647 . Despite the lower level of population , from templateTitle[4] to 1914 the templateYLabel[0] of templateYLabel[1] templateYLabel[2] was consistently above templateYValue[0] million .
This statistic represents major countries at the end of year templateTitleDate[0] , templateTitle[5] templateYLabel[0] templateTitle[2] templateTitleSubject[0] templateYLabel[1] . templateXValue[0] 's templateYLabel[0] templateTitle[2] templateTitleSubject[0] ( photovoltaic ) templateYLabel[1] reached templateYValue[max] templateYLabel[2] at the end of templateTitleDate[0] . templateTitle[2] photovoltaic - additional information With the assistance of politically-driven subsidies , the templateTitle[2] photovoltaic ( templateTitleSubject[0] ) sector continues to attract investors , with investment volumes that eclipse the deals made in other markets , including the wind power and biomass energy sectors .
This statistic shows data on the templateTitle[0] templateYLabel[0] of sporting goods manufacturer templateTitleSubject[0] SE from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] generated a templateTitle[0] templateYLabel[0] of templateYValue[idxmax(X)] templateYLabel[1] templateYLabel[2] templateYLabel[3] . Together with Nike and Adidas , templateTitleSubject[0] is templateYValue[16] of the largest sporting goods manufacturers in the world .
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] templateYLabel[3] templateYLabel[4] from its templateYLabel[0] sponsor Yokohama .
templateTitleSubject[0] 's templateYLabel[0] from printers and copiers reached about templateYValue[0] templateYLabel[1] 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 templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateYLabel[0] , bringing the company 's overall templateYLabel[0] to more than 58 templateYLabel[1] templateYLabel[2] templateYLabel[3] in that templateXLabel[0] .
The statistic shows a templateTitleSubject[0] for the global templateTitle[1] templateTitle[2] templateYLabel[0] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , the global templateTitle[1] templateTitle[2] templateYLabel[0] amounted to templateYValue[max] percent . In templateXValue[max] , the templateYLabel[0] are projected to amount to templateYValue[0] percent .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] worldwide in templateTitleDate[0] , templateTitle[8] templateTitle[9] templateTitle[10] . In templateTitleDate[0] , templateTitleSubject[0] 's global templateYLabel[0] templateYLabel[1] templateTitle[6] the templateXValue[2] was templateYValue[2] percent .
As of the fourth templateXLabel[0] of templateTitleDate[0] , templateYValue[max] mobile templateYLabel[2] were templateYLabel[1] in the templateTitle[0] templateTitleSubject[0] . This represents a 0.4 percent growth in templateYLabel[1] templateYLabel[2] compared to the previous templateXLabel[0] . The templateTitle[0] templateTitleSubject[0] does not only offer Android templateYLabel[2] but also templateYLabel[2] specifically optimized for its range of Kindle Fire tablets as well as the Fire TV and Fire Phone .
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] increased by around templateYValue[6] percent templateYLabel[2] to the templateYLabel[3] templateXLabel[0] . templateTitleSubject[0] 's economy on the rise templateTitleSubject[0] is a nation with a growing economy and a steadily increasing population .
This statistic shows the templateTitle[2] templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[2] templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to templateYValue[max] templateYValue[idxmax(X)] templateYLabel[4] .
This statistic represents templateTitleSubject[0] 's templateYLabel[0] on research and development from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the company 's templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[0] stood at approximately templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] . templateTitleSubject[0] is a globally operating oil and gas company , and the eighth largest company generally worldwide as of templateXValue[1] , measured by revenue .
The statistic shows the templateTitle[0] templateTitle[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the templateTitle[0] templateTitle[1] of templateTitleSubject[0] amounted to around templateYValue[7] templateYLabel[1] templateYLabel[0] . See the figures for the templateTitle[1] of South Korea for comparison .
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)] templateYLabel[2] 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 .
Among Canadian provinces , templateXValue[0] had the largest templateYLabel[0] of templateTitle[1] with around 500 templateYLabel[1] , as of templateTitleDate[0] . templateTitleSubject[0] has a publicly funded health care system based on a system of taxation , fees and private funding . Current reports estimate that health care expenditures account for over 11 percent of templateTitleSubject[0] 's gross domestic product ( GDP ) .
The templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] decreased since templateXValue[6] , when it was templateYValue[5] percent , down to templateYValue[min] percent in templateXValue[idxmin(Y)] . However , the employment templateYLabel[1] increased in templateXValue[max] , when it was measured at templateYValue[idxmax(X)] percent . The templateYLabel[0] templateYLabel[1] among men has been higher than for women for many years , but in templateXValue[max] it was templateYValue[2] percent , which was 0.2 percentage point lower than the templateYValue[3] percent among women .
As of templateTitleDate[0] , right-wing American news website templateTitle[0] was rated as templateXValue[2] at templateXValue[2] by templateYValue[2] percent of templateYLabel[1] from a survey of over two thousand templateTitleSubject[0] adults . Additionally , over half of templateYLabel[1] had either templateXValue[0] of the publication or had templateXValue[1] about templateTitle[0] 's templateTitle[1] . Conservative view of news media While right-wing websites and online publications have grown in number and popularity in recent years , Fox News remains the largest and perhaps most influential conservative news source in the templateTitle[2] .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] templateTitle[1] the greatest earthquake occurrence templateTitle[5] templateTitleDate[min] to templateTitleDate[max] . During this period , about templateYValue[max] million templateYLabel[2] in templateXValue[0] were templateYLabel[1] by templateTitle[6] .
Petcare is one of templateTitleSubject[1] 's many thriving industries where consistent growth is happening year-on-year . The most recent figures published by the Office for National Statistics revealed that templateYLabel[0] on templateTitle[1] and related products reached an annual value of 4.94 templateYLabel[1] British pounds in templateXValue[max] , representing an increase of about 3 templateYLabel[1] British pounds since templateXValue[9] . Dogs are templateTitleSubject[1] households ' best friend The templateTitleSubject[0] is host to over 50 templateYLabel[1] templateTitle[1] , although this number signifies a considerable drop since templateXValue[5] when the pet population in the templateTitleSubject[1] peaked at 73 templateYLabel[1] .
The templateYLabel[0] of templateTitleSubject[0] increased from approximately templateYValue[8] templateYLabel[1] U.S. dollars in templateXValue[8] to approximately templateYValue[max] templateYLabel[1] templateYLabel[2] in templateXValue[idxmax(Y)] . Their templateYLabel[0] has increased steadily since templateXValue[10] and reached its decade-long peak in templateXValue[max] Who are templateTitleSubject[0] ? templateTitleSubject[0] was founded in Berlin in 1890 , but the headquarters was moved to Munich , Germany after the Berlin headquarters were destroyed in the second World War . templateTitleSubject[0] offer property and casualty insurance , health and life insurance , asset management and business insurance .
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)] percent .
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] percent templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
Multiple factors can play a role in the decision to invest in templateTitle[7] templateTitle[8] . To calculate how prosperous templateTitleSubject[0] templateTitle[2] are on the templateTitle[8] market , the Urban Land Institute considered transport connectivity , forecasted templateTitle[7] templateTitle[8] returns , a city 's economic performance , availability of assets/opportunities for new development , market size and liquidity , regulatory environment , digital connectivity , attractiveness to talent , city leadership , housing affordability , and affordability of space for new/small/growing businesses . Leading templateTitleSubject[0] templateTitle[2] for development and investment According to the ranking , the leading five templateTitleSubject[0] templateTitle[2] templateTitle[4] templateTitle[5] templateTitle[6] for templateTitleDate[0] are templateXValue[0] , templateXValue[1] , templateXValue[2] , templateXValue[3] and templateXValue[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 .
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] .
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] percent .
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 grew by 22 percent , to templateYValue[max] templateYLabel[1] templateYLabel[2] , with record matchday and commercial templateYLabel[0] for a football club . templateTitleSubject[0] - additional information templateTitleSubject[0] 's brand and team value increased 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 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] increased , reaching around templateYValue[2] templateYLabel[1] Turkish liras in templateXValue[2] .
The statistic shows the templateYLabel[0] of the templateTitle[0] templateTitleSubject[0] franchise from the 2004/05 season to the 2018/19 season . In that year , the templateYLabel[0] of the National Basketball Association franchise is templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
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 deficit . In templateXValue[6] , templateTitleSubject[0] templateTitle[1] templateYLabel[0] surplus amounted to around templateYValue[max] percent 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 increased over the last decades .
The statistic depicts the templateYLabel[0] of the Virgin templateTitleSubject[0] company from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the health templateTitle[1] chain generated a templateYLabel[0] of templateYValue[idxmax(X)] templateYLabel[1] templateYLabel[2] templateYLabel[3] . In templateXValue[1] , the UK based company operated 270 clubs .
The statistic illustrates the templateTitle[0] templateTitleSubject[0] templateYLabel[0] templateYLabel[1] from the second templateXLabel[0] of templateTitleDate[min] to the second templateXLabel[0] of templateTitleDate[max] . In the fourth templateXLabel[0] of templateTitleDate[max] , the templateTitleSubject[0] 's templateYLabel[0] templateYLabel[1] amounted to templateYValue[0] percent .
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)] percent .
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)] percent .
As of 2019 , the templateTitle[2] movie which had the templateTitle[0] templateYLabel[0] templateYLabel[1] at the templateTitleSubject[0] American box office was ‘ templateXValue[0] templateXValue[9] : The templateXValue[0] ' with templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] in revenue . For years , James Cameron 's 2009 hit the highest templateYLabel[0] of the British market was templateXValue[0] , which registered in terms of 2019 .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] networking templateTitle[4] in selected templateTitleSubject[0] templateTitle[6] , based on user figures . As of 2013 , Facebook was the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in templateXValue[13] with templateYValue[13] million templateYLabel[1] templateYLabel[2] .
The templateYLabel[0] templateYLabel[1] of templateTitle[0] templateTitle[1] manufactured in the templateTitleSubject[1] was approximately 40 thousand tons in templateXValue[max] , an increase of over eight thousand tons from templateXValue[1] . This constitutes a recovery of the production templateYLabel[1] , which collapsed between templateXValue[min] and templateXValue[7] and fell by just under eighty percent , before it stagnated in the early 2010s . A stagnating market ? The corresponding developments in templateYLabel[0] values give the same picture as above .
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] templateYLabel[1] templateYLabel[2] templateYLabel[3] . This number is expected to grow to templateYValue[idxmax(X)] templateYLabel[1] by the end of templateXValue[idxmax(Y)] .
This statistic presents the templateYLabel[0] of templateYLabel[1] templateTitleSubject[0] chat app as of 2019 . The templateTitleSubject[0] supercomputer as of 2019 templateXValue[1] templateXValue[0] , operated by the Oak Ridge National Laboratory in Tennessee , Tennessee , had templateYValue[0] million templateTitle[3] templateYLabel[1] .
This statistic shows the results of a templateTitleDate[0] survey among templateTitleSubject[0] templateTitle[1] aged 18 to 60 about their stance on templateXValue[0] on templateTitle[4] . They were asked how they would manage to templateXValue[0] on templateTitle[4] templateTitle[5] templateTitle[6] a templateXValue[0] with others . templateYValue[max] percent of the templateTitle[1] stated templateXValue[1] they would templateXValue[0] when templateXValue[0] is in the templateXValue[0] .
This statistic gives information on the templateTitle[1] of templateTitle[0] templateYLabel[1] in the templateTitle[2] as of 2020 , sorted templateTitle[5] templateTitle[6] . During the measured period , templateYValue[min] percent of templateTitleSubject[0] templateTitle[0] templateTitle[3] were templateXValue[0] and templateYValue[max] percent were templateXValue[last] .
This graph depicts the annual National Hockey League templateYLabel[0] of the templateTitleSubject[0] from the templateXValue[last] season to the templateXValue[0] season . The templateYLabel[0] of the templateTitleSubject[0] amounted to templateYValue[max] templateYLabel[1] 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)] percent of templateTitleSubject[0] 's templateYLabel[3] templateYLabel[2] lived in templateYLabel[1] areas and cities .
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 increased , reaching templateYValue[2] templateYLabel[1] templateYLabel[2] in templateXValue[idxmax(Y)] .
The statistic shows the templateYLabel[0] of templateTitleSubject[0] & Cie. from templateXValue[last] to templateXValue[0] . In its fiscal templateXLabel[0] templateXValue[1] , templateTitleSubject[0] made total templateYLabel[0] of templateYValue[max] templateYLabel[1] templateYLabel[2] worldwide , an increase from templateYValue[1] templateYLabel[1] the previous templateXLabel[0] .
This statistic represents templateTitleSubject[0] 's templateYLabel[0] on research and development from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the company 's templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[0] stood at approximately templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] . templateTitleSubject[0] is a globally operating oil and gas company , and the eighth largest company generally worldwide as of templateXValue[1] , measured by revenue .
This 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)] templateTitleSubject[0] templateYLabel[1] templateTitle[3] .
The statistic shows the templateYLabel[0] templateYLabel[1] at templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . The average templateYLabel[0] templateYLabel[1] at templateYLabel[2] in templateTitleSubject[0] in templateXValue[max] was templateYValue[idxmax(X)] templateYLabel[3] . Standard of living in templateTitleSubject[0] is one of the so-called BRIC countries , an acronym which stands for Brazil , Russia , templateTitleSubject[0] and China , the four states considered the major emerging market countries .
This statistic shows the templateTitleSubject[0] templateXValue[last] templateTitle[2] templateXLabel[5] templateTitle[4] templateTitle[5] templateXValue[2] to templateXValue[1] , templateTitle[8] templateYLabel[0] templateYLabel[1] . The largest ship templateXLabel[5] was templateXValue[0] 's Oasis III with a templateYLabel[0] templateYLabel[1] of templateYValue[max] and an expected templateXLabel[6] date of 2016 .
The statistic shows the templateTitle[0] templateTitle[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the templateTitle[0] templateTitle[1] of templateTitleSubject[0] amounted to around templateYValue[6] templateYLabel[1] templateYLabel[0] . See the figures for the templateTitle[1] of South Korea for comparison .
This statistic presents the templateTitle[0] of templateTitle[1] templateTitle[2] templateTitle[3] per day in the templateTitleSubject[0] between templateTitle[6] and templateTitle[7] , templateTitle[8] templateTitle[9] . In this templateYValue[min] templateXLabel[0] period , individuals aged between 11 and 18 templateXValue[0] old templateTitle[3] templateYValue[max] templateYLabel[1] of templateTitle[1] templateTitle[2] per day .
This statistic illustrates the templateYLabel[0] of templateYLabel[1] first instance templateYLabel[2] applications in templateTitle[3] of the templateTitleSubject[0] templateTitle[5] in templateTitleDate[0] , broken down by templateXLabel[0] . In templateTitleDate[0] , templateXValue[0] templateYLabel[1] the largest templateYLabel[0] of templateYLabel[2] seekers with templateYValue[max] . templateXValue[1] and templateXValue[2] templateYLabel[1] the second and third most respectively , with roughly 10.6 and templateYValue[2] thousand templateYLabel[3] , respectively .
This statistic shows the templateYLabel[1] rate of the global templateTitle[2] templateTitle[3] templateTitle[4] from templateXValue[min] to templateXValue[max] . The templateTitle[2] templateTitle[3] templateTitle[4] is templateTitle[1] to grow by templateYValue[9] percent in templateXValue[9] , reaching 42 billion U.S. dollars in size .
This statistic gives information on the average annual of templateTitleSubject[0] for templateTitle[1] templateTitle[2] of targeted templateTitle[3] templateTitle[4] on companies in global markets in templateTitleDate[0] . During the survey period it was found that templateXValue[0] accumulated an average templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] in annual templateXValue[2] from a targeted templateTitle[3] attack on a templateXValue[0] .
This statistic shows the distribution of templateTitle[1] templateYLabel[1] in the templateTitleSubject[0] as of templateTitleDate[0] , broken down by sector . In templateTitleDate[0] , approximately templateYValue[max] percent of the templateTitleSubject[0] 's templateYLabel[1] for templateTitle[1] was attributable to the templateXValue[0] transportation sector .
The templateYLabel[0] templateTitle[2] templateYLabel[1] of templateTitle[4] templateTitle[5] has risen steadily in the templateTitle[0] , reaching a peak of almost templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] templateYLabel[5] in templateXValue[idxmax(Y)] . In the templateTitle[0] , templateTitle[5] prices tend to reflect costs related to construction , finance , maintenance , and operation of power plants and templateTitle[5] grids . How do templateTitle[5] rates differ ? The templateYLabel[1] of templateTitle[5] can vary widely across the states with Hawaii having one of the highest rates and Idaho one of the lowest .
This statistic displays the preferred book types ( templateXValue[1] templateTitle[3] templateXValue[2] ) among templateYLabel[1] in templateTitleSubject[0] in templateTitle[7] . Of templateYLabel[1] , templateYValue[1] percent said they preferred templateXValue[1] , while templateYValue[max] percent reported liking a templateXValue[0] of templateXValue[1] and templateXValue[2] .
This graph depicts the total templateTitle[0] templateTitle[1] templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] 49ers 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] templateYLabel[1] in templateTitleSubject[0] templateTitle[1] in templateTitleDate[0] . In templateTitleDate[0] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at templateYValue[min] percent .
In the period between templateTitleDate[min] and templateTitleDate[max] , the wettest months tended to be at the start and ends of the year . The greatest measurement of rain recorded was in 2015 when there was approximately templateYValue[max] templateYLabel[2] of templateYLabel[1] . The lowest level was in 2014 , which experienced surprisingly minimal rain .
This statistic shows the templateYLabel[2] templateYLabel[3] templateTitle[2] of templateTitle[0] templateTitle[1] in templateTitleSubject[0] in templateTitleDate[0] . In this year , templateXValue[0] was the leading market for the templateTitle[2] of templateTitle[0] templateTitle[1] with templateYValue[max] liters of templateTitle[0] templateTitle[1] templateYLabel[1] templateYLabel[2] person and templateXValue[1] was the second largest consumer of templateTitle[0] templateTitle[1] with templateYValue[1] liters templateYLabel[1] templateYLabel[2] person . templateTitle[0] templateTitle[1] in the European Union is predominantly made up of the natural mineral templateTitle[1] category.Germany is the market with the largest amount of different mineral templateTitle[1] brands .
This statistic shows the countries and regions that consumed the most templateTitle[2] in templateTitleDate[0] . The templateXValue[0] demanded templateYValue[max] percent of the templateTitle[1] 's total templateTitle[2] production . templateYLabel[1] of templateTitle[2] is one of the templateTitle[1] 's most valued metals and included within the so called transition metals group .
This statistic represents 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)] templateYLabel[3] templateTitleSubject[0] , up from templateYValue[1] templateYLabel[3] in templateXValue[1] . Being one of the most prominent eSports games , in templateXValue[1] LoL championship finals attracted 36 templateYLabel[3] 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 .
The statistic shows the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] amounted to around templateYValue[6] templateYLabel[2] templateYLabel[3] templateYLabel[4] . For comparison , the Greek templateYLabel[1] amounted to approximately 360 templateYLabel[2] euros that same templateXLabel[0] .
This statistic provides information on the templateTitle[1] templateTitle[2] templateTitle[3] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , it was estimated that templateYValue[idxmax(X)] percent of the Indian templateYLabel[1] will be accessing templateTitle[1] networks , up from templateYValue[5] percent in templateXValue[5] .
The timeline shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of the templateTitleSubject[0] football templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . templateTitleSubject[0] appeared on the templateYLabel[0] member list first in 2011 , as the successor of the Netherlands Antilles . As of templateXValue[max] , templateTitleSubject[0] is placed 79th on the templateYLabel[0] templateYLabel[1] templateYLabel[2] .
This statistic shows the templateYLabel[0] of templateTitle[3] templateTitle[4] templateYLabel[1] in templateTitle[1] templateTitle[2] from 2000 to templateTitleDate[0] , by world region . In templateXValue[last] templateXValue[2] , there were a total of templateYValue[min] templateYLabel[1] during this period .
This statistic shows the templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[1] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the global templateYLabel[0] of the templateTitleSubject[0] worldwide was approximately templateYValue[max] templateYValue[idxmax(X)] templateYLabel[2] .
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] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic gives a templateTitle[2] of templateTitleSubject[0] 's wholesale templateYLabel[1] templateYLabel[2] in the templateTitleDate[0] fiscal year , templateTitle[5] templateTitle[6] . In the templateTitleDate[0] fiscal year , some templateYValue[max] percent of templateTitleSubject[0] 's templateYLabel[1] templateYLabel[2] were made to customers in the country .
This statistic displays the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in selected templateTitleSubject[0] countries in templateTitleDate[0] , sorted templateTitle[5] templateXLabel[0] . According to the report , the templateXValue[0] had the highest templateYLabel[1] templateYLabel[2] market among the displayed countries , handling approximately eight percent more templateYLabel[1] cars than templateXValue[9] in templateTitleDate[0] .
This statistic provides information on the templateTitle[2] 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] percent 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 .
This statistic gives information on the templateTitle[1] of templateTitle[0] templateYLabel[1] in the templateTitle[2] as of 2020 , sorted templateTitle[5] templateTitle[6] . During the measured period , templateYValue[min] percent of templateTitleSubject[0] templateTitle[0] templateTitle[3] were templateXValue[0] and templateYValue[max] percent were templateXValue[last] .
This statistic illustrates 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[1] , a templateYLabel[0] of templateYValue[1] templateYLabel[2] templateYLabel[3] of raisins were produced templateTitle[3] .
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)] templateYLabel[1] .
This statistic represents the templateYLabel[0] of templateTitleSubject[0] employees from the fiscal templateXLabel[0] of templateXValue[min] to the fiscal templateXLabel[0] of templateXValue[max] . In its templateXValue[max] fiscal templateXLabel[0] , the Switzerland-based electronics company employed templateYValue[idxmax(X)] people worldwide .
This statistic presents the templateXLabel[0] value of the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] in the templateTitleSubject[0] as of the fourth quarter of templateTitleDate[0] . During the measured period , Amazon was found that templateYValue[max] percent of the templateYLabel[1] used the social network .
This statistic shows templateTitleSubject[0] 's templateTitle[1] templateTitle[2] templateTitle[3] ( templateYLabel[0] ) from templateXValue[0] to templateXValue[last] . templateTitleSubject[0] 's templateYLabel[0] increased till the end of the period by a total of over 19 templateYLabel[1] British pounds .
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] templateYLabel[1] templateYLabel[2] of strawberries were produced in the templateTitle[0] .
The statistic presents the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] as of 2019 , ranked templateTitle[5] templateTitle[6] templateYLabel[0] . According to the estimates , Johan Sundstein , a templateXLabel[0] from Denmark , also known as templateXValue[0] , earned templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] throughout his recorded templateTitle[1] gaming career . templateTitle[1] gaming – additional information Video gaming is no longer a pastime of purported home-dwellers or arcade-loitering individuals ; the professionalization of this activity has now validated it as a career choice for talented templateTitle[2] to earn templateYLabel[1] and sign lucrative sponsorship deals .
This graph depicts the total templateTitle[0] templateTitle[1] templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] 49ers 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] .
This statistic shows the templateYLabel[0] of templateYLabel[1] led templateTitle[6] a female householder with no spouse present with own children under 18 years living in the household in the templateTitleSubject[0] in templateTitleDate[0] , templateTitle[6] templateXLabel[0] . In templateTitleDate[0] , about templateYValue[20] percent of Californian templateYLabel[1] were templateTitle[1] templateTitle[2] templateYLabel[1] with at least one child . Additional information on templateTitle[1] templateTitle[2] templateYLabel[1] and poverty in the templateXValue[18] For most templateTitle[1] mothers a constant battle persists between finding the time and energy to raise their children and the demands of working to supply an income to house and feed their families .
This statistic shows the results of a survey among working female fashion templateTitle[3] based in the country on how old they were when they first started working in the fashion industry . templateYValue[max] percent of templateYLabel[1] stated they were between templateXValue[1] and templateXValue[1] templateXValue[0] old when they started working as a model .
This statistic depicts the worldwide templateYLabel[0] of templateTitle[1] templateTitle[2] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , it is estimated that templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] of templateTitle[1] templateTitle[2] . templateTitle[1] templateTitle[2] is an American chain of variety and commercial elements .
The statistic shows a forecast for the worldwide templateYLabel[0] templateYLabel[1] of templateTitle[1] templateTitle[2] to templateTitleSubject[0] from templateXValue[min] to templateXValue[max] , in templateYLabel[2] templateYLabel[3] templateYLabel[4] . In templateXValue[3] , templateTitle[0] templateTitle[4] from templateTitle[1] videos viewed through television devices such as internet-ready set-top boxes is estimated to reach templateYValue[3] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This statistic presents the templateYLabel[0] of templateYLabel[1] templateTitleSubject[0] chat app templateYLabel[2] from 2014 to 2016 . As of that templateXLabel[0] , the mobile messenger hat templateYValue[max] templateYLabel[3] templateYLabel[1] templateYLabel[2] . templateTitleSubject[0] messenger templateYLabel[2] – additional information Instant messaging has been gaining popularity .
The statistic shows the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] amounted to around templateYValue[6] templateYLabel[2] templateYLabel[3] templateYLabel[4] . For comparison , the Greek templateYLabel[1] amounted to approximately 360 templateYLabel[2] euros that same templateXLabel[0] .
This statistic gives information on the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in selected countries in templateTitleDate[0] . In templateXValue[0] , templateYValue[max] templateYLabel[3] templateYLabel[1] templateYLabel[2] were accessing the templateTitle[2] . In the other hand , the total templateYLabel[0] of templateYLabel[1] templateYLabel[2] were amounted to as high templateXLabel[0] .
This statistic shows and estimate of templateTitleSubject[0] 's templateYLabel[1] from the first templateXLabel[0] of templateTitleDate[0] to the fourth templateXLabel[0] of templateTitle[5] . In the fourth templateXLabel[0] of templateTitle[5] , the photo sharing app is projected to generate templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] in global revenues , up from an templateYLabel[0] templateYValue[6] templateYLabel[2] templateYLabel[3] templateYLabel[4] in the second templateXLabel[0] of 2019 .
As of the third quarter of templateTitle[10] , The British Broadcasting Corporation ( templateXValue[0] ) made up templateXValue[1] of the top templateXValue[4] templateXValue[0] templateTitle[2] in the templateTitleSubject[0] for weekly templateTitle[5] . templateXValue[0] 2 , the templateTitle[0] templateXValue[0] templateXLabel[0] in the templateTitleSubject[1] saw its average consumer listen to over ten hours per week . The templateTitleSubject[1] templateXValue[0] industry has seen revenues remain stagnant between 2014 and 2018 .
This statistic shows the templateTitle[0] of templateTitle[1] templateTitle[2] templateTitle[3] per day in the templateTitleSubject[0] between templateTitle[7] and templateTitle[8] , templateTitle[9] templateTitle[10] . In this templateYValue[min] templateXLabel[0] period , individuals aged between 11 and 18 templateXValue[0] old templateTitle[3] templateYValue[max] templateYLabel[1] of templateTitle[1] templateTitle[2] per day .
This statistic illustrates the results of a survey about the most templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in templateTitleSubject[0] in the third quarter of templateTitleDate[0] . The most used templateTitle[3] templateTitle[4] templateXLabel[0] in templateTitleSubject[0] was templateXValue[0] at templateYValue[max] percent , closely followed by templateXValue[1] at templateYValue[1] percent . On the opposite side , templateXValue[last] is used by four percent of templateYLabel[1] .
This statistic shows the templateYLabel[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in templateTitleDate[0] . In that year , templateXValue[0] was the templateTitle[5] with the highest templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateYLabel[3] .
The templateTitle[0] templateTitle[1] in templateTitleSubject[0] was templateYValue[max] people templateYLabel[1] templateYLabel[2] templateYLabel[3] ( 47.24 templateYLabel[1] templateYLabel[2] mile ) in templateXValue[idxmax(Y)] . This number has been slowly increasing for the past ten years . Higher templateTitle[0] templateTitle[1] is associated with urbanization , but not necessarily economic growth .
This statistic presents a ranking of the templateTitle[2] most commonly impacted by templateTitleSubject[0] templateTitle[1] templateTitle[3] as of 2017 . During the survey , templateYValue[max] percent of templateYLabel[1] from the templateXValue[0] sector stated that their company had been victim of templateTitleSubject[0] templateTitle[1] in the past 12 months .
This statistic shows the templateTitle[1] with the largest templateTitle[1] templateYLabel[0] worldwide as estimated in templateTitleDate[0] . In that year , it was estimated that the templateXValue[4] had total templateTitle[1] templateYLabel[0] of approximately templateYValue[max] templateYLabel[1] templateYLabel[2] . templateTitle[1] templateYLabel[0] templateTitle[3] templateXLabel[0] templateTitle[1] is a soft , silver-white metal within the alkali metal group on the periodic table .
This statistic shows the ten templateTitle[0] templateTitle[1] in templateTitleSubject[0] as of templateTitleDate[0] . In templateTitleDate[0] , around templateYValue[max] templateYLabel[1] people lived in templateXValue[0] , making it the templateTitle[0] city in templateTitleSubject[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 shows the total amount of templateYLabel[1] created templateTitle[1] templateTitle[3] templateYLabel[0] templateTitle[4] templateTitle[1] templateXValue[min] to templateXValue[5] and templateYLabel[1] forecasts for the years templateXValue[4] to templateXValue[max] . In templateXValue[max] , total revenues of templateYValue[6] templateYLabel[2] templateYLabel[3] templateYLabel[4] were generated through templateTitle[3] templateTitle[2] .
This statistic shows the templateYLabel[2] templateYLabel[3] in the templateTitleSubject[0] templateYLabel[0] templateYLabel[1] from templateXValue[min] to templateXValue[max] . In templateXValue[3] , templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[0] amounted to templateYValue[3] percent .
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)] million templateYLabel[0] templateYLabel[1] templateTitle[4] . templateTitleSubject[0] is ranked among the 15 largest automakers templateTitle[4] .
This statistic shows the templateYLabel[0] of templateYLabel[2] templateYLabel[3] internet users in the templateTitle[0] who were using selected templateTitle[3] networks as of 2019 . During that period of time , templateYValue[4] percent of templateYLabel[1] templateYLabel[4] aged between 50 and 64 years used the photo sharing app templateXValue[4] .
This statistic displays the preferred book types ( templateXValue[1] templateTitle[3] templateXValue[2] ) among templateYLabel[1] in templateTitleSubject[0] in templateTitle[7] . Of templateYLabel[1] , templateYValue[1] percent said they preferred templateXValue[1] , while templateYValue[max] percent reported liking a templateXValue[0] of templateXValue[1] and templateXValue[2] .
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] percent more templateTitle[2] from templateXValue[4] to templateXValue[3] . templateTitle[2] is an important building material .
This statistic represents major countries at the end of year templateTitleDate[0] , templateTitle[5] templateYLabel[0] templateTitle[2] templateTitleSubject[0] templateYLabel[1] . templateXValue[0] 's templateYLabel[0] templateTitle[2] templateTitleSubject[0] ( photovoltaic ) templateYLabel[1] reached templateYValue[max] templateYLabel[2] at the end of templateTitleDate[0] . templateTitle[2] photovoltaic - additional information With the assistance of politically-driven subsidies , the templateTitle[2] photovoltaic ( templateTitleSubject[0] ) sector continues to attract investors , with investment volumes that eclipse the deals made in other markets , including the wind power and biomass energy sectors .
The templateTitleSubject[0] Times templateTitleSubject[0] 's templateTitle[6] templateYLabel[0] amounted to templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] in the final templateXLabel[0] of templateXValue[0] , up templateTitle[8] 263.5 templateYLabel[1] in the corresponding templateXLabel[0] of templateXValue[4] . The templateTitleSubject[0] ' subscription templateYLabel[0] generally grows steadily over the course of each year . However , for the most part , the company sees a small templateYLabel[0] decrease in the third templateXLabel[0] , which has been an ongoing and consistent trend for the company over the last few years .
The statistic illustrates the answers to the following survey question : `` The templateTitle[2] templateXValue[0] templateTitle[5] will probably cost a thousand euros . templateXValue[last] you willing to pay that ? '' As of templateTitleDate[0] , roughly 20 percent of the templateYLabel[1] said to templateXValue[0] the templateXValue[0] from templateTitleSubject[0] when it is released , even if it templateTitle[6] them a thousand euros . However , more than half of the templateYLabel[1] said the price is templateXValue[1] absurd for an templateTitleSubject[0] templateXValue[0] .
This statistic presents the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitleSubject[0] worldwide in templateTitleDate[0] , templateTitle[7] templateXLabel[0] templateXLabel[1] . In that year , templateYValue[max] percent of the templateTitleSubject[0] Companies templateYLabel[0] templateYLabel[1] were generated templateTitle[7] templateXValue[0] . templateTitleSubject[0] Companies is headquartered in Midtown Manhattan , New York City and was founded in 1946 templateTitle[7] Joseph templateTitleSubject[0] and his wife templateTitleSubject[0] .
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)] percent of the Singaporean templateYLabel[1] were using the templateTitle[1] . In templateXValue[max] , this figure is projected to grow to templateYValue[idxmax(X)] percent .
The templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] templateTitle[4] photovoltaics has seen an overall increase since templateXValue[min] , amounting to templateYValue[0] templateYLabel[2] templateYLabel[3] templateYLabel[4] . However , this was a minor decrease templateTitle[3] the previous templateXLabel[0] and significantly lower when compared to the templateYLabel[0] factors of other renewable sources . This can be explained by the lack of consistency in the number of sunny days recorded .
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 templateXValue[max] , 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] of merger and acquisition templateYLabel[1] in the templateTitle[3] templateTitle[4] and templateTitle[5] templateTitle[6] industry from templateXValue[min] to templateXValue[max] YTD . In templateXValue[8] , aggregate templateYLabel[1] totaled some templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] . templateTitleSubject[0] templateTitle[2] A templateYLabel[1] provide investors with an exit strategy from smaller and private companies .
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 shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in templateTitleDate[0] , templateTitle[3] templateXLabel[0] . In that year , there were templateYValue[2] templateYLabel[1] templateYLabel[2] in the templateTitleSubject[0] . According to the source , a total of 8,093 templateYLabel[1] templateYLabel[2] were generated in the templateXValue[1] .
This statistic depicts the compound annual growth rate of the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] between templateYLabel[2] and templateYLabel[3] , templateTitle[9] templateXLabel[0] . During that period , the compound annual growth rate of templateXValue[last] American templateTitle[1] templateTitle[4] templateTitle[2] was estimated at templateYValue[min] percent . Global templateTitle[1] MarketTraveling has increased to a great extent with the rise in urbanization and leisure activities .
This statistic shows the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitleDate[min] to templateTitleDate[max] . templateXValue[2] , in Africa , was the third templateTitleSubject[0] templateTitle[1] templateTitle[2] destination with an templateYLabel[0] templateYLabel[1] rate of templateYValue[2] percent in templateYLabel[2] and templateTitle[2] 's templateYLabel[4] templateYLabel[5] to templateYLabel[6] projected templateTitle[5] templateTitleDate[min] to templateTitleDate[max] .
This statistic shows the results of a survey , conducted by Gallup in the templateTitle[7] in 2014 , on templateTitle[2] templateTitle[3] templateTitle[4] gay and lesbian templateTitle[6] . During this survey , templateYValue[max] percent of the templateYLabel[1] were in favor of templateTitle[2] templateTitle[3] templateTitle[4] gay and lesbian templateTitle[6] in the templateTitle[7] .
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 decreasing templateTitle[0] templateTitle[1] , the total population of templateTitleSubject[0] is expected to increase 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)] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This statistic presents the templateTitle[3] templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitle[2] in templateTitleDate[0] , with a breakdown templateTitle[5] templateXLabel[0] . In templateTitleDate[0] , there were almost templateYValue[1] million driver 's license holders in templateXValue[1] . templateTitleSubject[0] templateYLabel[1] templateYLabel[2] templateTitle[5] templateXLabel[0] The driver 's license became mandatory in the templateTitle[2] in the early 20th century , with templateXValue[19] and templateXValue[15] being the first states to require an official license for operating certain types of motor vehicles , including motorcycles , passenger vehicles , trucks , trailers or buses .
This statistic shows the templateTitle[0] templateTitle[1] of templateTitleSubject[0] in templateTitleDate[0] , templateTitle[5] on retail templateTitle[6] . In that year , templateXValue[0] was templateTitleSubject[0] 's templateTitle[0] retailer with about templateYValue[max] templateYLabel[0] templateYLabel[1] templateYLabel[2] worth of sales.Retail in templateTitleSubject[0] AmericaAs in much of templateTitleSubject[0] , Brazil 's policymakers have quickly shifted from a focus on excessive inflation towards growth . In the beginning of 2011 , templateTitleSubject[0] American markets were growing rapidly and experiencing uncomfortably high inflation .
This statistic shows that the templateTitle[0] templateYLabel[0] of templateYLabel[1] ( ALOS ) in templateTitleSubject[0] templateTitle[4] templateTitle[5] from templateXValue[min] to templateXValue[max] . In templateXValue[14] , a hospital templateYLabel[1] in the templateTitle[3] had an templateTitle[0] templateYLabel[0] of templateYValue[14] templateYLabel[2] . Since then , there was no significant change in the templateYLabel[0] of templateYLabel[1] .
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 decrease 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] .
In templateXValue[max] , templateYValue[idxmax(X)] percent 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 increasing since templateXValue[max] . Firearms in the templateTitle[3] Firearms in the templateTitle[3] have become a large part of American culture .
This statistic shows the templateYLabel[0] of templateTitleSubject[1] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of templateTitleSubject[1] templateYLabel[1] in templateTitleSubject[0] reached approximately templateYValue[idxmax(X)] templateYLabel[2] .
This statistic shows the total templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitle[2] in templateTitleDate[0] , with a breakdown templateTitle[5] templateXLabel[0] . In templateTitleDate[0] , there were almost templateYValue[1] million driver 's license holders in templateXValue[1] . templateTitleSubject[0] templateYLabel[1] templateYLabel[2] templateTitle[5] templateXLabel[0] The driver 's license became mandatory in the templateTitle[2] in the early 20th century , with templateXValue[19] and templateXValue[15] being the first states to require an official license for operating certain types of motor vehicles , including motorcycles , passenger vehicles , trucks , trailers or buses .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateTitle[2] a templateTitle[3] templateTitle[4] in the templateTitle[5] , templateTitle[7] templateXLabel[0] templateXLabel[1] . In templateTitleDate[0] , templateYValue[max] percent of templateTitleSubject[0] templateYLabel[1] aged between 18 and 24 years played a templateTitle[3] templateTitle[4] .
This statistic shows the templateTitle[0] 25 templateTitle[2] selling baked products as the primary element of their food offering in the templateTitleSubject[0] ( templateTitleSubject[1] ) in templateTitleDate[0] , based on templateYLabel[0] of templateYLabel[1] . In templateTitleDate[0] , the highest templateYLabel[0] of templateYLabel[1] in the templateTitleSubject[0] was templateYValue[max] British pounds .
The statistic shows the number of templateTitle[1] templateYLabel[0] per100,000 templateYLabel[3] worldwide from templateTitle[4] to templateXValue[1] . In the templateXValue[8] , about templateYValue[max] templateYLabel[3] templateYLabel[1] 100,000 of the templateTitleSubject[0] population died as a result of templateTitle[1] .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateTitle[1] templateTitle[2] in templateTitleDate[0] . In templateTitleDate[0] , the templateYLabel[0] of templateYLabel[1] templateXValue[4] was at around templateYValue[max] percent . templateYLabel[1] templateXValue[4] templateTitle[1] templateTitle[2] The Population Reference Bureau released data on global templateYLabel[1] templateTitle[1] templateTitle[2] in templateTitleDate[0] .
This statistic 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 .
Singaporeans consumed on average around templateYValue[0] templateYLabel[4] of templateYLabel[2] each in templateXValue[max] , which was among the lowest in Asia-Pacific . This was partly due to the heavy taxation of alcoholic beverages in templateTitleSubject[0] . Even so , health officials were concerned about a rise in unhealthy drinking habits among the young .
This statistic shows the templateYLabel[0] of American templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] at some point during templateTitle[7] templateTitle[8] , sorted templateTitle[9] templateXLabel[0] templateXLabel[1] . The findings were acquired in early 2009 and published in the Journal of Sexual Medicine , a publication on sexual behavior in the templateTitle[0] , in 2010 . templateYValue[max] percent of templateYLabel[1] aged 25 to 29 stated they templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] at some point during templateTitle[7] life .
This statistic shows the templateYLabel[0] of templateYLabel[1] who have obtained a legal divorce and have not remarried in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , about templateYValue[idxmax(X)] templateYLabel[2] templateTitle[1] templateYLabel[1] were living in templateTitleSubject[0] .
In templateXValue[max] , there were about templateYValue[0] templateYLabel[3] templateYLabel[1] templateYLabel[2] in the templateTitle[4] with a templateTitle[2] mother . This is an increase from templateXValue[min] levels , when there were about templateYValue[min] templateYLabel[3] templateYLabel[1] templateYLabel[2] with a templateTitle[2] mother . templateTitle[2] parenthood The typical family is comprised of two parents and at least one child .
This statistic illustrates the an estimate of templateTitle[1] templateYLabel[0] worldwide , from the 2017 fiscal year to fiscal year 2021 , templateTitle[3] select templateXLabel[0] . The templateXValue[0] is projected to spend about templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] on drones between 2017 and 2021 , making it the templateXLabel[0] with the greatest expenditure on drones .
This statistic shows the templateYLabel[0] of Japanese templateTitle[0] templateTitle[1] from templateXValue[min] through templateXValue[8] and gives forecasts for up to templateXValue[max] . In templateXValue[8] , Japanese templateTitle[0] templateTitle[1] cost approximately templateYValue[8] US templateYLabel[2] templateYLabel[3] templateYLabel[4] British thermal units .
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 the templateYLabel[1] generated by templateTitleSubject[0] , templateTitleSubject[1] , and templateTitle[2] for the fiscal years templateXValue[min] to templateXValue[max] . templateTitleSubject[0] , templateTitleSubject[1] , and templateTitle[2] reported a record templateYLabel[1] of over templateYValue[3] templateYLabel[2] templateYLabel[3] templateYLabel[4] in templateXValue[3] , up templateTitle[5] templateYValue[4] templateYLabel[2] in the previous templateXLabel[0] .
This statistic presents the templateTitle[2] templateYLabel[0] of cyber templateTitle[1] templateYLabel[1] from templateXValue[last] to templateXValue[1] . In templateXValue[1] , companies detected and reported templateYValue[1] templateYLabel[2] IT templateTitle[1] breaches . This templateYLabel[0] increased by 38 percent in the following templateXLabel[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] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
The total templateYLabel[0] of templateTitle[2] templateXLabel[1] templateYLabel[1] on the U.S. crowdfunding platform templateTitleSubject[0] amounted to 291,825 up to 11 templateXValue[last] templateTitleDate[0] . The templateYLabel[0] of templateYLabel[1] that were templateXValue[last] templateXLabel[0] templateXLabel[1] was templateYValue[last] up to this point . Crowdfunding failure Putting yourself , your ideas and your templateYLabel[1] out into the world and subjecting them to the possibility of public scrutiny is not the easiest pill to swallow for a lot of people , and failure can be hard to accept .
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[idxmax(X)] kilowatts templateYLabel[3] hour .
In templateTitleDate[0] , hip-hop and rap templateTitle[0] accounted for templateYValue[max] percent of total templateTitle[0] templateYLabel[1] in the templateTitle[3] , more than double the percentage of R templateXValue[8] B templateTitle[0] sales . Other highly popular genres included templateXValue[1] and templateXValue[2] templateTitle[0] , whereas just templateYValue[10] percent of all templateTitle[0] sold in the templateTitleSubject[0] in templateTitleDate[0] was templateXValue[10] . Why are some genres more popular than others ? Whilst templateTitle[0] is a highly subjective medium in terms of the listener 's taste and preferences , the top genres in terms of templateYLabel[1] tend not to fluctuate heavily .
This statistic shows the templateTitle[1] templateYLabel[0] of all templateYLabel[1] in templateTitleSubject[0] templateTitle[4] templateXValue[min] to templateXValue[max] . The templateYLabel[0] of templateYLabel[1] increased over this period . In templateXValue[max] , the templateYLabel[0] of templateYLabel[1] to templateTitleSubject[0] amounted to approximately 97.2 templateYLabel[2] British pounds .
The statistic presents the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] as of 2019 , ranked templateTitle[5] templateTitle[6] templateYLabel[0] . According to the estimates , Johan Sundstein , a templateXLabel[0] from Denmark , also known as templateXValue[0] , earned templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] throughout his recorded templateTitle[1] gaming career . templateTitle[1] gaming – additional information Video gaming is no longer a pastime of purported home-dwellers or arcade-loitering individuals ; the professionalization of this activity has now validated it as a career choice for talented templateTitle[2] to earn templateYLabel[1] and sign lucrative sponsorship deals .
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)] templateYLabel[2] 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] percent of a foreign business .
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] templateYLabel[2] templateYLabel[3] dollars.The templateTitleSubject[0] Royals are owned by John Henry and Thomas Werner , who bought the templateYLabel[0] for 380 templateYLabel[2] templateYLabel[3] templateYLabel[4] in templateXValue[min] .
This statistic shows the estimated templateYLabel[0] of templateYLabel[1] templateTitle[2] templateTitle[3] to templateTitle[4] templateTitle[5] in templateTitleSubject[1] from templateXValue[last] to templateXValue[0] . In templateXValue[0] , the templateYLabel[0] of templateYLabel[1] templateTitle[2] templateTitle[3] to templateTitle[4] templateTitle[5] amounted to approximately templateYValue[min] templateYLabel[2] templateYLabel[1] templateTitle[2] , the lowest amount in the provided time interval .
The statistic shows the templateTitleSubject[0] templateTitle[1] templateYLabel[0] of templateTitle[3] templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[2] , the templateTitle[1] templateYLabel[0] templateYLabel[1] is expected to amount to templateYValue[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This statistic illustrates the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitle[1] in templateTitleDate[0] , sorted templateTitle[5] templateXLabel[0] . In that year , there were approximately templateYValue[1] million templateYLabel[1] templateYLabel[2] in templateXValue[0] .
This statistic shows the templateTitle[3] templateYLabel[0] templateYLabel[1] ( templateTitle[4] or standardized measure ) of the templateTitleSubject[0] to the templateTitle[1] templateTitle[2] ( EUR USD ) , according to the data from the European Central Bank , which cover the period from the introduction of the templateTitleSubject[0] in templateXValue[min] up until templateXValue[max] . The templateTitle[4] ( standardized ) measure is based on the calculation of many observations throughout the period in question . It is therefore different than an templateTitle[3] measure at point in time , which reflects concrete values as of end of the templateXLabel[0] .
This statistic shows the templateTitle[0] 20 templateTitle[2] templateTitle[4] on templateTitleSubject[0] as of 2017 , sorted by templateYLabel[0] of templateYLabel[1] templateYLabel[2] . As of the measured period , templateXValue[0] was the templateTitle[0] popular city on templateTitleSubject[0] with over templateYValue[max] templateYLabel[3] mentions in hashtags .
This statistic shows the templateTitle[3] templateTitle[4] of the NRA in the country from templateXValue[min] to templateXValue[max] . As of templateXValue[idxmin(Y)] , the NRA spent about templateYValue[min] templateYLabel[2] templateYLabel[3] on templateTitle[3] . This is a significant decrease from templateXValue[1] , when the NRA spent about templateYValue[1] templateYLabel[1] on templateTitle[3] templateYLabel[0] .
This statistic displays the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateTitleDate[min] to templateTitleDate[max] . In templateTitleDate[max] , templateYLabel[0] in templateTitleSubject[0] was templateYValue[0] percent .
This statistic shows the total templateTitle[0] templateYLabel[1] of the templateTitleSubject[0] of America from 1990 to 2019 . In 2019 , the templateYLabel[0] templateYLabel[1] had risen up to templateYValue[max] templateYLabel[3] templateYLabel[4] dollars . The templateYLabel[0] templateYLabel[1] per capita had risen to 65,600 templateYLabel[4] dollars in 2018 .
This graph depicts the annual National Hockey League templateYLabel[0] of the templateTitleSubject[0] from the templateXValue[last] season to the templateXValue[0] season . The templateYLabel[0] of the templateTitleSubject[0] amounted to templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] in the templateXValue[idxmax(Y)] season .
This statistic illustrates the templateTitle[1] street templateYLabel[0] templateYLabel[1] templateYLabel[2] in selected countries in templateTitleDate[0] , or the latest year available . templateXValue[1] reported templateYLabel[2] templateYLabel[3] levels of templateYValue[1] templateYLabel[4] templateYLabel[5] templateYLabel[0] templateYLabel[1] . templateYLabel[2] templateYLabel[3] templateYLabel[0] person About 70 percent of the planet 's surface is covered with templateYLabel[2] .
templateTitleSubject[0] reported templateYLabel[0] templateYLabel[1] of around templateYValue[0] templateYLabel[4] templateYLabel[5] ( or about templateYValue[0] templateYLabel[4] U.S. dollars ) in templateXValue[max] , a drop of almost templateYValue[9] templateYLabel[4] templateYLabel[5] year-on-year . templateTitleSubject[0] 's earnings were hit by expenses related to recalls of diesel engine-equipped cars and vans .
This statistic shows the countries with the largest templateTitle[1] templateYLabel[0] worldwide as estimated in templateTitleDate[0] . In that year , it was estimated that the templateXValue[4] had total templateTitle[1] templateYLabel[0] of approximately templateYValue[max] templateYLabel[1] templateYLabel[2] . templateTitle[1] templateYLabel[0] templateTitle[3] templateXLabel[0] templateTitle[1] is a soft , silver-white metal within the alkali metal group on the periodic table .
The statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . Around templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] were living in templateXValue[min] . In templateXValue[max] , there were around templateYValue[last] templateYLabel[1] templateYLabel[2] templateYLabel[3] reported .
This statistic shows the templateTitle[2] of templateYLabel[0] templateTitle[1] in templateTitleSubject[0] 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] .
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)] percent .
The statistic shows the templateYLabel[0] templateTitle[1] templateYLabel[1] in the templateTitleSubject[0] in templateTitle[7] , templateTitle[5] templateTitle[6] of householder . In templateTitle[7] , the real templateYLabel[0] templateTitle[1] templateYLabel[1] for householder aged 15 - 24 was at templateYValue[min] templateYLabel[2] templateYLabel[3] .
This statistic shows , according to survey templateYLabel[1] , the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[4] that should be addressed in the run up to the templateTitleDate[0] United Kingdom ( templateTitleSubject[1] ) General templateTitle[2] ( as of 2014 ) . With templateYValue[max] percent of templateYLabel[1] , templateXValue[0] was considered to be the templateTitle[0] templateTitle[1] topic , followed by the National Health Service ( templateXValue[1] ) and the templateXValue[2] ( EU ) .
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 fell down to templateYValue[last] templateTitle[2] .
The statistic shows the templateYLabel[1] templateTitle[1] in templateTitleSubject[0] in templateTitleDate[0] , templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] . In templateTitleDate[0] , about templateYValue[max] percent of the templateYLabel[1] was between 16 and 59 templateXValue[0] old . Apart from the information given on templateTitle[3] templateTitle[4] groups in this statistic , some more information is provided templateTitle[2] a timeline for the templateTitle[4] templateTitle[1] and a templateYLabel[1] breakdown templateTitle[2] smaller templateTitle[4] groups .
The statistic shows the templateYLabel[0] templateTitle[1] templateTitle[2] templateYLabel[1] at games of the templateTitleSubject[0] templateTitle[5] templateTitle[6] from the templateXValue[last] season to the templateXValue[0] season . In templateTitle[7] , the templateYLabel[0] templateYLabel[1] at the games was at templateYValue[0] .
This statistic shows the monthly amount of cars templateYLabel[1] by templateTitleSubject[0] in the templateTitleSubject[1] ( templateTitleSubject[2] ) between 2016 and 2019 . Peaks in registration numbers were recorded in March and September of each year , which was due to the issuing of license plates by the Driver & Vehicle Licensing Agency ( DVLA ) in those months . In 2019 , templateYValue[0] new templateTitleSubject[0] cars had been templateYLabel[1] .
This statistic shows the templateYLabel[0] of templateYLabel[1] in templateTitleSubject[0] in the templateTitle[3] templateTitle[4] templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[idxmax(X)] templateYLabel[1] registered in templateTitleSubject[0] . Gambling in templateTitleSubject[0] - additional information The templateYLabel[0] of templateYLabel[1] in templateTitleSubject[0] increased by more than 2,000 between 2007 and templateXValue[1] .
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] rose by less than a thousand templateYLabel[3] , with wage growth accelerating mainly in the period after templateXValue[8] . The 607 Euro increase recorded between templateXValue[8] and templateXValue[7] was the largest wage rise seen during this period .
The statistics shows the 20 templateTitleSubject[0] templateTitle[1] templateTitle[2] in the templateTitle[3] according to the Global Peace templateYLabel[0] 2018 . According to the Global Peace templateYLabel[0] templateTitleDate[0] , templateXValue[0] was the templateTitleSubject[0] templateTitle[1] templateXLabel[0] in the templateTitle[3] with an templateYLabel[0] value of 1.072 . Additional information on the Global Peace templateYLabel[0] The Global Peace templateYLabel[0] is an effort by the Institute for Economics and Peace to measure the degree of peacefulness in templateTitle[2] across the global and rank them accordingly .
This statistic shows the 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)] percent .
The templateTitleSubject[0] templateYLabel[0] of templateTitle[3] templateTitle[4] in the country in templateXValue[max] was templateYValue[idxmax(X)] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] . This was a decrease from around templateYValue[1] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] in templateXValue[1] . Global seafood market The global demand for seafood is on the rise .
templateTitle[2] templateYLabel[1] at templateTitle[3] establishments in templateTitleSubject[0] have been steadily rising each templateXLabel[0] since the start of the decade . In templateXValue[max] , a record templateYValue[idxmax(X)] templateYLabel[2] 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 .
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] percent 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 percent of passengers at templateTitle[6] templateTitle[7] were satisfied with their templateTitle[4] templateTitle[5] experience .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[7] , with projections up until templateXValue[max] in templateYLabel[2] to the templateTitle[4] templateTitle[5] templateTitle[6] ( templateYLabel[3] ) . 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] percent of the templateYLabel[3] .
This statistic shows the preferred templateTitle[3] templateTitle[4] for templateTitle[1] templateTitle[2] according to internet users in the templateTitle[0] in templateTitleDate[0] . During the survey period , it was found that templateYValue[1] percent of templateYLabel[1] most frequently used a templateXValue[1] templateXValue[0] to pay for templateTitle[1] purchases .
How many people play templateTitleSubject[0] ? PlayerUnknown 's Battlegrounds ( templateTitleSubject[0] ) , which is available on templateTitle[1] and templateTitle[2] , crossed the templateYValue[max] templateYLabel[2] templateTitle[3] templateTitle[4] mark in templateXValue[0] - an impressive figure considering it was released little over a year earlier . The Battle Royale game developed by Bluehole was made available to the public in 2017 . One of the biggest games on Steam While it is available on both PlayStation and Xbox One , templateTitleSubject[0] 's origins lie in templateTitle[2] and , more specifically , on Steam .
This statistic shows the total templateYLabel[0] of templateYLabel[1] enrolled in templateTitle[3] across the templateTitle[2] from the academic templateXLabel[0] templateXValue[last] to templateXValue[0] . In templateXValue[0] , around templateYValue[min] templateYLabel[2] templateYLabel[1] enrolled for templateTitle[0] degrees in the templateTitle[2] .
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 increase from the previous years .
This statistic shows the templateTitleSubject[0] templateTitle[0] templateTitleSubject[0] templateYLabel[0] from templateTitleSubject[0] templateTitle[5] to templateTitleSubject[0] templateTitleDate[0] . The templateYLabel[0] is normalized to have a value of templateYValue[max] in 1964 and based on a monthly survey of consumers , conducted in the continental templateTitle[3] . It consists of about 50 core questions which cover consumers ' assessments of their personal financial situation , their buying attitudes and overall economic conditions .
This statistic presents the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] templateTitle[1] in templateTitle[2] templateTitle[3] templateTitle[4] in templateTitleDate[0] . That year , templateXValue[1] accounted for some templateYValue[1] percent of the world 's templateTitle[2] templateTitle[3] templateTitle[4] and was ranked second . templateTitle[2] templateTitle[3] templateTitle[4] by templateXLabel[0] In templateTitleDate[0] , templateXValue[0] topped the ranking of the largest templateTitle[2] templateTitle[3] producing templateTitle[1] worldwide .
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] templateYLabel[1] templateYLabel[2] templateXValue[6] templateYLabel[4] templateYLabel[5] .
templateTitle[3] templateXValue[last] templateXValue[0] but templateXValue[0] templateXValue[1] or templateXValue[3] was the templateTitle[0] common templateTitle[2] of templateTitle[3] templateXValue[last] among British templateYLabel[1] ( templateYValue[max] percent ) , followed by templateXValue[0] sugar ( templateYValue[last] percent ) . templateYValue[2] percent of Brits liked to templateXValue[last] their templateXValue[last] without either templateXValue[0] or templateXValue[1] . In 2017 , templateTitle[0] people in the UK would templateXValue[last] templateYValue[5] to templateYValue[4] cups a day .
The statistic shows templateTitleSubject[0] templateTitle[4] players with the most templateYLabel[0] templateYLabel[1] in franchise history . templateXValue[0] is the templateTitle[0] templateTitle[1] leader of the templateTitleSubject[0] templateTitle[4] with templateYValue[max] templateYLabel[0] .
This statistic illustrates 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[1] , a templateYLabel[0] of templateYValue[1] templateYLabel[2] templateYLabel[3] of raisins were produced templateTitle[3] .
This statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] Gross Domestic Product of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] of templateTitleSubject[0] stood at templateYValue[max] templateYValue[idxmax(X)] templateXValue[6] templateYLabel[6] templateYLabel[7] .
This statistic presents the templateTitle[2] templateYLabel[0] of cyber templateTitle[1] templateYLabel[1] from templateXValue[min] to templateXValue[max] . In templateXValue[1] , companies detected and reported templateYValue[1] templateYLabel[2] IT templateTitle[1] breaches . This templateYLabel[0] increased by 38 percent in the following templateXLabel[0] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] networking templateTitle[4] in selected templateTitleSubject[0] templateTitle[6] , based on user figures . As of 2013 , Facebook was the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in templateXValue[13] with templateYValue[13] million templateYLabel[1] templateYLabel[2] .
This statistic displays the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in the templateTitleSubject[0] ( templateTitleSubject[1] ) as of October templateTitleDate[0] . Of templateYLabel[1] templateYValue[max] percent reported action or thriller .
The templateYLabel[0] of templateYLabel[1] of the templateTitleSubject[0] of templateTitleSubject[0] ( NAR ) has steadily increased since templateXValue[7] , reaching a membership of templateYValue[max] templateYLabel[2] in templateXValue[idxmax(Y)] , an all-time high . This trend also reflects the recovery of the property market after the financial crisis of 2007 - templateXValue[min] , as the volume of home sales began to climb from templateXValue[8] . The NAR is a North American trade templateTitleSubject[0] for real estate workers formed in 1908 and currently based in Chicago , Illinois .
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)] templateYLabel[1] templateYLabel[2] dollars.The templateTitleSubject[0] are owned by Mark Attanasio , who bought the franchise for 223 templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateXValue[13] .
This statistic presents the templateTitle[0] templateYLabel[0] of templateTitle[2] templateTitle[3] templateTitle[4] in the United Kingdom ( templateTitleSubject[0] ) in templateTitle[6] , templateTitle[7] templateXLabel[0] templateXLabel[1] . Households among all the templateXLabel[0] groups had an templateTitle[0] of templateYValue[min] to templateYValue[max] templateTitle[2] templateTitle[3] templateTitle[4] .
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 increase of a defined product basket . This product basket contains products and services , on which the average consumer spends money throughout the templateXLabel[0] .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateTitle[2] templateTitle[4] templateTitle[5] in templateTitleDate[0] . In that year , templateXValue[0] was the templateTitle[5] with the most templateYLabel[1] with templateYValue[max] . In 2016 , the U.S. casino gaming market had revenues of 71.1 billion U.S. dollars .
The statistic above presents estimation data on the annual aggregate templateYLabel[1] of the American templateTitle[2] templateTitle[3] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYLabel[3] broadcasters generated an templateYLabel[0] total templateYLabel[1] of templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
Between templateXValue[min] and templateXValue[max] , the templateYLabel[0] of official templateYLabel[1] templateTitle[2] increased from approximately templateYValue[min] thousand to templateYValue[0] thousand , after which it experienced a slight decline . As of templateXValue[1] , England is the leader with 1.87 thousand official templateYLabel[1] templateTitle[2] followed by Germany and France with respectively 731 and 602 registered templateYLabel[1] templateTitle[2] . The rise in the templateYLabel[0] of templateYLabel[1] templateTitle[2] in templateTitleSubject[0] was accompanied with a rise in templateYLabel[1] popularity .
This statistic shows the templateTitle[2] templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[2] templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to templateYValue[max] templateYValue[idxmax(X)] templateYLabel[4] .
templateTitleSubject[0] reported templateYLabel[0] templateYLabel[1] of around templateYValue[0] templateYLabel[4] templateYLabel[5] ( or about templateYValue[0] templateYLabel[4] U.S. dollars ) in templateXValue[max] , a drop of almost templateYValue[9] templateYLabel[4] templateYLabel[5] year-on-year . templateTitleSubject[0] 's earnings were hit by expenses related to recalls of diesel engine-equipped cars and vans .
This statistic presents the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in templateTitleSubject[0] as of 2014 , based on templateYLabel[1] volume . During the survey period , it was found that templateXValue[0] accounted for templateYValue[0] percent of all templateTitle[2] app templateYLabel[1] .
The graph depicts the templateYLabel[0] percentages of templateTitle[4] templateTitle[5] templateTitle[6] in templateTitleDate[0] . templateXValue[0] had the templateTitle[1] templateYLabel[0] templateYLabel[1] of all male templateTitle[6] , templateYLabel[0] templateYValue[1] percent ( 78 out of 87 ) of his matches .
This statistic shows the templateYLabel[0] of templateYLabel[1] led templateTitle[6] a female householder with no spouse present with own children under 18 years living in the household in the templateTitleSubject[0] in templateTitleDate[0] , templateTitle[6] templateXLabel[0] . In templateTitleDate[0] , about templateYValue[20] percent of Californian templateYLabel[1] were templateTitle[1] templateTitle[2] templateYLabel[1] with at least one child . Additional information on templateTitle[1] templateTitle[2] templateYLabel[1] and poverty in the templateXValue[18] For most templateTitle[1] mothers a constant battle persists between finding the time and energy to raise their children and the demands of working to supply an income to house and feed their families .
The statistic shows the templateYLabel[0] of templateYLabel[1] caused templateTitle[2] templateTitle[3] templateTitle[4] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In the most recent reported templateXLabel[0] , the templateYLabel[0] of templateYLabel[1] amounted to approximately templateYValue[idxmax(X)] thousand , indicating a decrease of 154 templateYLabel[1] compared to templateXValue[1] .
According to quarterly pulse monitors , the growth of templateTitle[0] property templateTitle[3] in the templateTitleSubject[0] is expected to slow down in templateXValue[1] and templateXValue[max] . In templateXValue[max] , housing templateTitle[3] are believed to increase with templateYValue[min] percent . This is significantly less than in 2019 , when templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] grew with approximately 5.7 percent when compared to the same month a templateXLabel[0] before .
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] percent templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic shows the templateTitle[2] templateTitle[3] of templateTitleSubject[0] regarding templateTitle[5] or templateTitle[6] templateTitle[7] in templateTitleDate[0] . During this survey , templateYValue[max] percent of templateYLabel[1] stated they think templateTitle[5] or templateTitle[6] templateTitle[7] are templateXValue[0] , while templateYValue[min] percent said it templateXValue[2] on the situation .
This statistic shows the countries and regions that consumed the most templateTitle[2] in templateTitleDate[0] . The templateXValue[0] demanded templateYValue[max] percent of the templateTitle[1] 's total templateTitle[2] production . templateYLabel[1] of templateTitle[2] is one of the templateTitle[1] 's most valued metals and included within the so called transition metals group .
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 templateYLabel[0] of templateTitle[1] templateYLabel[1] in the templateTitle[3] as of 2019 , ordered templateTitle[5] templateXValue[last] templateXLabel[1] . At that time , there were templateYValue[2] templateXValue[2] templateTitle[1] in the templateTitle[3] . templateTitle[1] templateYLabel[1] in the templateTitleSubject[0] A physician in the templateTitle[3] can be trained in medical education or also be an international medical graduate that has obtained a license to practice within the state .
This statistic shows the templateYLabel[0] of templateTitleSubject[0] templateYLabel[1] in templateTitle[2] templateTitle[3] . As at 2010 , templateXValue[2] had templateYValue[2] templateYLabel[1] .
Ranked as the templateTitle[0] employer among the Stockholm-based templateTitle[1] in templateTitleDate[0] was the security templateXValue[14] templateXValue[0] , the employer of over templateYValue[max] thousand people . templateXValue[1] M and the information and communication technology templateXValue[14] templateXValue[2] had the second and third templateTitle[0] templateYLabel[0] of templateYLabel[1] in templateTitleSubject[0] , amounting to over 123 and 97 thousand templateYLabel[1] respectively . The three templateTitle[0] employers in templateTitleSubject[1] The three templateTitle[1] did not only rank as the three templateTitle[0] employers based in templateTitleSubject[0] , but also formed the top three the templateTitle[0] employers among all templateTitle[1] based in SwedenEmployees in Europe , North and Latin America templateXValue[0] is the templateTitle[0] employer based in templateTitleSubject[1] , but templateYLabel[1] of the templateXValue[14] are spread around the world , in Europe , North America and Latin America .
This statistic displays the templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] working in the templateTitleSubject[0] on templateTitleSubject[1] in templateTitleDate[0] . In that year , templateXValue[0] had the highest templateYLabel[0] of templateYLabel[1] with templateYValue[max] templateYLabel[1] templateYLabel[2] 10,000 templateYLabel[4] , this was closely followed by templateXValue[1] with templateYValue[1] templateYLabel[1] templateYLabel[2] 10,000 templateYLabel[4] and templateXValue[2] with templateYValue[2] templateYLabel[1] templateYLabel[2] 10,000 templateYLabel[4] . The source provides the information that the professions of Optometry and Optics in Spain and the Nordic templateTitle[4] are combined in templateYValue[14] , as optometrists .
The statistics shows the templateYLabel[0] of Major templateTitle[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitle[0] templateTitleSubject[0] Company generated a total amount of templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] in annual templateYLabel[0] .
This statistic shows the total templateTitleSubject[0] ( UK ) templateTitle[4] templateYLabel[0] templateYLabel[1] templateYLabel[2] from fiscal templateXLabel[0] templateXValue[last] to fiscal templateXLabel[0] templateXValue[0] . The overall trend was one of increase , seeing a peak in templateXValue[0] with 27.99 templateYLabel[3] British pounds and a total rise of over 5 templateYLabel[3] British pounds throughout this period .
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 decreased prices for the mineral .
This statistic shows the number of templateYLabel[1] on the official templateTitleSubject[0] Facebook page from 2010 to 2019 . The page had a total of templateYValue[last] templateYLabel[2] templateYLabel[1] in 2019 .
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 percentage templateYLabel[1] .
Between templateXValue[min] and templateXValue[max] , each templateXLabel[0] roughly between 134,000 and 153,000 people died in the templateTitleSubject[0] . From templateXValue[4] onwards , the templateYLabel[0] of templateYLabel[1] increased annually , peaking in templateXValue[max] at roughly 153,000 . That templateXLabel[0] , women were on average 81 years old when they died , men were five years younger .
Between 2014 and 2019 , the lowest templateYLabel[0] of templateTitle[0] raindays occurred in 2014 , when just templateYValue[18] templateYLabel[1] recorded 1mm or more of templateTitle[2] . The highest templateYLabel[0] of raindays was recorded in January of the same year , at templateYValue[max] . Fourth quarter the wettest The wettest periods of the year tend to be the start and the end .
This statistic shows the templateYLabel[0] of templateYLabel[1] of the templateTitleSubject[0] Limited group templateTitle[5] in the year ending 30th templateTitleDate[0] , templateTitle[7] county . The chart shows that there are just over 100 templateYLabel[1] in the templateXValue[0] and another templateYValue[1] templateYLabel[1] in templateXValue[1] . templateXValue[16] , templateXValue[17] , templateXValue[18] , and templateXValue[19] each had templateYValue[16] templateTitleSubject[0] shops in the templateXLabel[0] .
In the fourth templateXLabel[0] of templateTitleDate[max] , templateTitleSubject[0] reported a templateYLabel[0] templateYLabel[1] of templateYValue[0] templateYLabel[2] templateYLabel[3] templateYLabel[4] , compared to a templateYLabel[0] templateYLabel[1] of templateYValue[max] templateYLabel[2] templateYLabel[4] in the corresponding templateXLabel[0] of the preceding year . templateTitleSubject[0] 's templateYLabel[0] revenue amounted to 2.82 templateYLabel[2] templateYLabel[3] templateYLabel[4] in the third templateXLabel[0] of templateTitleDate[max] .
This statistic presents the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitle[5] in templateTitleDate[0] , templateTitle[4] templateXLabel[0] . In templateTitleDate[0] , there were a total templateYLabel[0] of templateYValue[max] percent of templateYLabel[1] templateYLabel[2] in the templateXValue[1] .
This statistic presents the templateYLabel[0] templateYLabel[1] of mobile templateYLabel[2] actively used by mobile internet users in templateTitle[4] templateTitle[5] as of 2014 . During a templateXValue[0] survey , it was found that mobile internet users in templateXValue[1] used an templateYLabel[0] of templateYValue[max] mobile templateYLabel[2] on a monthly basis .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateTitle[2] a templateTitle[3] templateTitle[4] in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were around templateYValue[0] templateYLabel[2] templateYLabel[1] templateTitle[2] a female householder and no spouse present in the templateTitle[5] .
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)] percent 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 falling to templateYValue[3] templateYLabel[2] the following templateXLabel[0] .
This statistic shows the templateYLabel[0] templateTitle[1] of commercial templateTitle[2] templateTitle[3] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] in templateTitleSubject[0] was estimated to be about templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
The statistic shows a templateTitleSubject[0] of the templateYLabel[0] templateTitle[2] of templateTitle[3] templateTitle[4] install base templateTitle[5] from templateTitleDate[min] to templateTitleDate[max] . The templateYLabel[0] templateTitle[2] of templateTitle[3] templateTitle[4] was templateYValue[idxmin(X)] percent in templateXValue[idxmax(Y)] .
This statistic shows the results of a templateTitleDate[0] survey among Americans aged 16 and older regarding the templateTitle[0] they are looking for in a close templateTitle[2] . This statistic only shows the top five answers to that question . templateYValue[max] percent of the templateYLabel[1] stated a close templateTitle[2] has to be loyal .
In this templateTitleDate[0] survey , templateYValue[1] percent of templateYLabel[1] stated they think the biggest problem for the templateTitle[2] today is templateXValue[2] . In fact , most of the important templateTitle[1] mentioned are somehow related to the current POTUS – the most mentioned one being templateXValue[0] and templateXValue[1] . A templateXValue[3] divided Since templateXValue[2] 's inauguration in 2017 , political camps in the templateTitle[2] are deeply divided and templateXValue[13] templateTitle[3] is in turmoil ; templateXValue[2] 's job approval ratings are notoriously low , and in fact , they are lower than Reagan 's or Nixon 's averages ever were .
The statistic shows the templateYLabel[0] of templateYLabel[1] templateTitle[2] and templateTitle[3] templateTitle[4] templateTitle[5] in Indonesian territorial waters from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[idxmax(X)] templateTitle[2] and templateTitle[3] templateTitle[4] templateTitle[5] in templateTitleSubject[0] . templateTitle[4] templateTitle[5] in templateTitleSubject[0] templateTitle[4] templateTitle[5] in Indonesian waters spiked in templateXValue[4] , when templateYValue[max] templateYLabel[1] were reported .
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 percent of templateTitle[4] templateTitle[5] templateTitle[6] . See templateYLabel[2] of templateTitleSubject[0] for additional information .
This statistic 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] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This statistic presents the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] as of 2019 , ranked templateTitle[5] templateTitle[6] templateYLabel[0] . According to the estimates , Johan Sundstein , a templateXLabel[0] from Denmark , also known as templateXValue[0] , earned templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] throughout his recorded templateTitle[1] gaming career . templateTitle[1] gaming – additional information Video gaming is no longer a pastime of purported home-dwellers or arcade-loitering individuals ; the professionalization of this activity has now validated it as a career choice for talented templateTitle[2] to earn templateYLabel[1] and sign lucrative sponsorship deals .
This statistic shows , according to survey templateYLabel[1] , the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[4] that should be addressed in the run up to the templateTitleDate[0] United Kingdom ( templateTitleSubject[1] ) General templateTitle[2] ( as of 2014 ) . With templateYValue[max] percent of templateYLabel[1] , templateXValue[0] was considered to be the templateTitle[0] templateTitle[1] topic , followed by the National Health Service ( templateXValue[1] ) and the templateXValue[2] ( EU ) .
This statistic shows the templateYLabel[0] of templateTitleSubject[0] templateYLabel[1] templateYLabel[2] in the templateTitle[4] as of templateTitleDate[0] , in order of the templateTitle[6] templateTitle[7] the templateTitle[8] templateTitle[9] . In 2019 , there were templateYValue[max] templateYLabel[3] templateYLabel[1] templateYLabel[2] in the templateTitle[4] .
As of early templateTitleDate[0] , templateXValue[0] and templateXValue[1] were the templateTitleSubject[0] commonly used templateTitle[3] templateTitle[4] templateTitle[5] software templateTitle[6] around the world , with nearly templateYValue[max] percent of templateYLabel[1] stating that they used templateXValue[0] and templateYValue[1] percent using templateXValue[1] . templateXValue[2] .
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[max] .
This statistic shows the templateYLabel[0] of templateTitleSubject[0] users who have every templateTitle[2] templateTitle[3] templateTitle[4] as of templateTitleDate[0] , sorted templateTitle[6] templateXLabel[0] . During the survey , it was found that templateYValue[8] percent of U.S. templateYLabel[1] had templateTitle[5] video content on any device . templateXValue[0] was ranked first with a templateYValue[max] percent templateTitle[5] video penetration among the templateTitle[5] population .
The statistic shows the templateYLabel[0] templateYLabel[1] templateTitle[3] of templateTitleSubject[0] games in the templateTitle[1] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] templateYLabel[2] was at templateYValue[0] in the templateTitle[1] .
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 .
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] decreased until templateXValue[max] , when it again increased 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] decreased for several years but increased again in templateXValue[1] .
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 templateYLabel[2] 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 .
The statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateYLabel[2] templateTitle[4] templateTitle[5] in the middle of templateTitleDate[0] . The templateYLabel[0] templateYLabel[1] of templateTitle[2] templateYLabel[2] in templateXValue[0] was templateYValue[max] percent in the middle of 2014.The templateYLabel[0] templateYLabel[1] of templateTitle[2] templateYLabel[2] arises from the birth templateYLabel[1] minus the death templateYLabel[1] and without including the effects of migration.Population growthAs shown in the statistic above , the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateYLabel[2] continues to increase on almost every templateTitle[5] in 2013.Due to medical advances , better living conditions and the increase of agricultural productivity the world templateTitle[2] is continuously rising . The development of the world templateTitle[2] from 1950 to 2030 is estimated to be tripled according to United Nations ' data.The majority of the world templateTitle[2] lives in templateXValue[4] , but the templateTitle[2] in templateXValue[0] is forecasted to rise from 1,031 in year 2010 up to 4,185 in year 2100 .
This statistic shows the templateTitleDate[0] templateTitle[1] of templateTitle[2] templateYLabel[0] in selected templateTitleSubject[0] countries , as of the first quarter templateTitleDate[0] . templateYLabel[0] companies usually decide to specialize in templateYValue[7] of the markets : residential or templateTitle[1] templateTitle[2] . Residential real estate investments can be seen as less risky , but the templateTitle[1] investments can also be understood as safer , due to higher cash flow potential , offering better returns on templateYLabel[0] .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] templateTitle[1] the greatest earthquake occurrence templateTitle[5] templateTitleDate[min] to templateTitleDate[max] . During this period , about templateYValue[max] million templateYLabel[2] in templateXValue[0] were templateYLabel[1] by templateTitle[6] .
In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] was approximately templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] templateYLabel[5] of land area . In that templateXLabel[0] , templateTitleSubject[0] 's total templateYLabel[0] reached approximately 94.58 million .
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 percent 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 templateYLabel[0] of templateYLabel[1] led templateTitle[6] a female householder with no spouse present with own children under 18 years living in the household in the templateTitleSubject[0] in templateTitleDate[0] , templateTitle[6] templateXLabel[0] . In templateTitleDate[0] , about templateYValue[20] percent of Californian templateYLabel[1] were templateTitle[1] templateTitle[2] templateYLabel[1] with at least one child . Additional information on templateTitle[1] templateTitle[2] templateYLabel[1] and poverty in the templateXValue[18] For most templateTitle[1] mothers a constant battle persists between finding the time and energy to raise their children and the demands of working to supply an income to house and feed their families .
This statistic shows 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)] percent of templateTitleSubject[0] 's templateYLabel[3] templateYLabel[2] lived in templateYLabel[1] areas and cities .
The statistic shows the templateYLabel[0] of health and fitness templateYLabel[1] in templateTitleSubject[0] American in templateTitleDate[0] , by templateXLabel[0] . In templateXValue[0] , templateYValue[max] fitness and health templateYLabel[1] were in operation in templateTitleDate[0] .
This statistic shows the templateTitle[0] of templateTitle[1] templateTitle[2] templateTitle[3] per day in the templateTitleSubject[0] between templateTitle[7] and templateTitle[8] , templateTitle[9] templateTitle[10] . In this four templateXLabel[0] period , individuals aged between 4 and 10 templateXValue[0] old templateTitle[3] templateYValue[max] templateYLabel[1] of templateTitle[1] templateTitle[2] per day .
This statistic shows the templateTitleSubject[0] templateYLabel[0] quantity of templateTitle[2] from templateTitleDate[min] to templateTitleDate[max] . By templateTitleDate[max] , the total templateYLabel[0] of templateTitle[2] templateTitleSubject[0] was around templateYValue[max] templateYLabel[1] .
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)] percent .
As of October templateTitleDate[0] , the templateXValue[0] generated templateYValue[max] percent of Instagram templateYLabel[1] templateYLabel[2] , while visitors from the templateXValue[0] templateXValue[3] accounted for templateYValue[3] percent of site visits . Instagram is one of the most popular social networks in the templateXValue[0] with a 31 percent membership reach among online adults in the templateXValue[0] . During a 2019 survey , it was found that 93 percent of adults in the templateXValue[0] were aware of the photo sharing app .
Over the past 30 years , the templateYLabel[0] templateYLabel[1] in the templateTitleSubject[0] has been steadily declining , and in templateXValue[max] , there were templateYValue[idxmax(X)] births templateYLabel[2] 1,000 of the templateYLabel[4] . In templateXValue[min] , this figure stood at templateYValue[idxmin(X)] births templateYLabel[2] 1,000 of the templateYLabel[4] . Demographics have an impact The average templateYLabel[0] templateYLabel[1] in the templateTitle[1] may be falling , but when broken down along ethnic and economic lines , a different picture is painted : Native Hawaiian and other Pacific Islander women saw the highest templateYLabel[0] templateYLabel[1] in templateXValue[idxmin(Y)] among all ethnicities , and White and Asian women both saw the lowest templateYLabel[0] templateYLabel[1] .
This statistic shows the templateYLabel[0] of the templateTitle[0] men 's templateTitle[3] templateTitle[4] in the templateTitle[6] in templateTitleDate[0] . In that year , templateXValue[0] was the country 's top selling templateTitle[1] templateTitle[2] templateXLabel[0] with templateYLabel[0] that amounted to about templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This graph depicts the templateYLabel[1] of the templateTitleSubject[0] Dodgers 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] templateYLabel[2] 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] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This statistic shows templateTitleSubject[0] 's templateTitle[1] annual templateYLabel[0] from templateXValue[min] to templateXValue[max] . As of templateXValue[max] , the daily deal website 's annual templateYLabel[0] amounted to 2.2 templateYLabel[1] templateYLabel[2] templateYLabel[3] . The coupon portal had close to 43.6 templateYLabel[1] active customers as the fourth quarter of templateXValue[max] .
The timeline presents templateTitle[0] templateTitle[1] templateYLabel[0] templateTitle[3] the NCAA men 's basketball tournament from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] amounted to approximately templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
`` All of them ! '' most of us would probably say when asked what our templateTitle[2] templateTitle[3] is , but when given a choice , templateTitleSubject[0] favor templateXValue[0] over templateXValue[1] and templateXValue[2] . templateXValue[0] is a civil templateTitle[3] in the country , and most templateTitleSubject[0] celebrate it regardless of their religious affiliation . Shopping templateTitle[3] templateXValue[0] is an immense economic stimulus as well , and templateTitleSubject[0] are quite generous when it comes to spending money on templateXValue[0] gifts for their loved ones .
This statistic shows the templateYLabel[0] of templateTitle[2] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . templateTitle[2] templateYLabel[1] in short-stay templateTitle[3] in templateTitleSubject[0] have generally increased over this period , from around templateYValue[9] templateYLabel[2] in templateXValue[min] to approximately templateYValue[idxmax(X)] templateYLabel[2] by templateXValue[idxmax(Y)] .
This statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] Gross Domestic Product of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] of templateTitleSubject[0] stood at templateYValue[max] templateYValue[idxmax(X)] templateXValue[6] templateYLabel[6] templateYLabel[7] .
This statistic shows templateTitleSubject[0] templateTitle[1] templateYLabel[2] as a templateYLabel[0] of templateYLabel[1] templateTitle[5] templateYLabel[2] from templateXValue[min] to templateXValue[max] . templateTitle[1] systems have vastly improved vehicle safety over the evolution of the templateTitle[5] , such as airbags and anti-lock braking systems . In templateXValue[max] , it is forecasted that on average , electronic systems will account for half of the templateYLabel[1] price of a new templateTitle[5] .
This statistic shows , according to survey templateYLabel[1] , the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[4] that should be addressed in the run up to the templateTitleDate[0] United Kingdom ( templateTitleSubject[1] ) General templateTitle[2] ( as of 2014 ) . With templateYValue[max] percent of templateYLabel[1] , templateXValue[0] was considered to be the templateTitle[0] templateTitle[1] topic , followed by the National Health Service ( templateXValue[1] ) and the templateXValue[2] ( EU ) .
This statistic shows the an estimate of templateTitle[1] templateYLabel[0] worldwide , from the 2017 fiscal year to fiscal year 2021 , templateTitle[3] select templateXLabel[0] . The templateXValue[0] is projected to spend about templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] on drones between 2017 and 2021 , making it the templateXLabel[0] with the greatest expenditure on drones .
This statistic shows the templateTitle[1] templateYLabel[0] of the templateTitle[3] templateTitle[4] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . The templateTitle[1] templateYLabel[0] of the Canadian templateTitle[4] was templateYValue[idxmax(X)] templateYLabel[1] in templateXValue[idxmax(Y)] .
This graph shows templateXLabel[0] and templateTitle[1] government templateYLabel[0] in the templateTitle[3] as a templateYLabel[1] of Gross Domestic Product for the templateTitleDate[0] fiscal year , templateTitle[7] templateXLabel[0] . In templateTitleDate[0] , total templateXLabel[0] and templateTitle[1] government templateYLabel[0] in the templateXLabel[0] of templateXValue[1] amounted to templateYValue[1] percent of the annual Gross Domestic Product of the templateXLabel[0] . The national templateYLabel[0] of the United Stated can be found here .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[0] ( templateTitleSubject[0] ) of the templateTitle[5] templateTitle[6] templateXLabel[1] templateTitle[7] templateXLabel[3] to templateTitle[7] templateXLabel[5] . In templateTitle[7] templateXLabel[5] , the templateTitle[0] EMI was at templateYValue[last] points .
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[0] templateYLabel[0] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . For templateXValue[6] , it is forecasted that the templateTitleSubject[0] Companies templateTitle[0] templateYLabel[0] will amount to USD templateYValue[6] templateYLabel[1] . templateTitleSubject[0] Companies is headquartered in Midtown Manhattan , New York City and was founded in 1946 by Joseph templateTitleSubject[0] and his wife templateTitleSubject[0] .
This statistic displays templateTitle[2] templateTitle[3] templateTitle[1] the templateTitle[0] by templateTitleSubject[0] construction firms in templateTitleDate[0] . The survey revealed that templateYValue[max] percent of the templateYLabel[1] templateTitle[1] templateXValue[0] templateXLabel[0] templateTitle[2] the templateTitle[0] . Residential construction involves the building and selling of both individual and multi-family dwellings .
This statistic presents the templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateTitle[3] templateTitle[4] selected templateTitle[5] templateTitle[6] . As of 2012 , templateXValue[0] templateTitle[3] templateYValue[max] templateYLabel[1] templateYLabel[2] . templateXValue[12] , one of templateXValue[0] 's main competitors , templateTitle[3] templateYValue[12] templateYLabel[2] .
This statistic shows the templateYLabel[0] of migrant worker templateYLabel[1] growing up away from their parents in templateTitleSubject[0] in templateXValue[min] and templateXValue[max] . The 6th National Population Census of the Republic of templateTitleSubject[0] estimated that templateYValue[max] templateYLabel[2] templateTitle[1] templateYLabel[1] until the age of 17 grew up without their parents .
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] grew by around templateYValue[6] percent 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)] percent .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] networking templateTitle[4] in selected templateTitleSubject[0] templateTitle[6] , based on user figures . As of 2013 , Facebook was the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in templateXValue[13] with templateYValue[13] million templateYLabel[1] templateYLabel[2] .
The templateYLabel[0] of the templateTitleSubject[0] luxury brand templateTitle[4] templateTitle[5] has increased twofold over the period surveyed , growing from roughly templateYValue[min] templateYLabel[1] templateYLabel[2] in templateXValue[idxmin(Y)] to templateYValue[max] templateYLabel[1] templateYLabel[2] in the templateXLabel[0] templateXValue[idxmax(Y)] . Despite the steady increase in templateYLabel[0] during the period considered , the templateTitle[3] reported a net loss of approximately 25 templateYLabel[1] 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 .
templateYLabel[0] of templateTitle[0] and templateTitle[1] templateTitle[2] reached templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] in the templateTitle[5] in templateXValue[max] . This includes used rails for re-rolling and other uses as well as ships , boats , and other vessels for scrapping . The majority of templateTitle[2] consumption in the domestic industry can be attributed to manufacturers of pig templateTitle[0] , raw templateTitle[1] , and templateTitle[1] castings .
Between 2014 and 2019 , the lowest templateYLabel[0] of templateTitle[0] raindays occurred in 2014 , when just templateYValue[18] templateYLabel[1] recorded 1mm or more of templateTitle[2] . The highest templateYLabel[0] of raindays was recorded in January of the same year , at templateYValue[max] . Fourth quarter the wettest The wettest periods of the year tend to be the start and the end .
The templateYLabel[0] of the men 's lifestyle and entertainment magazine templateTitleSubject[0] has dropped significantly in recent years , falling to just over 200 thousand in templateXValue[max] from templateYValue[4] templateYLabel[1] templateYValue[11] years earlier . The magazine reported its highest templateTitle[1] templateYLabel[0] in templateXValue[12] , when an average issue sold templateYValue[max] templateYLabel[1] copies . templateTitleSubject[0] templateYLabel[0] numbers – additional information Founded in 1953 by the late Hugh Hefner , templateTitleSubject[0] is a men 's lifestyle and entertainment magazine .
This statistic shows the templateYLabel[0] of templateTitle[1] templateTitle[3] , templateYLabel[1] and templateTitle[4] in the templateTitle[5] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[max] people worked either part-time or full-time as templateTitle[1] templateTitle[4] , templateYLabel[1] or templateTitle[3] . Included are solo templateYLabel[1] without employees working part-time or full-time in their artistic trade .
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 percent 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 decrease 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 increased .
In templateXValue[max] , the templateTitle[2] templateTitle[3] in templateTitleSubject[0] was approximately templateYValue[max] templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] templateYLabel[4] . This was a slight decrease compared to the previous templateXLabel[0] . The templateYLabel[0] of GE templateYLabel[1] has been growing consecutively in the past few years and is one of the biggest in the world .
The templateYLabel[0] templateYLabel[1] of templateTitle[0] templateTitle[1] manufactured in the templateTitleSubject[1] was approximately 40 thousand tons in templateXValue[max] , an increase of over eight thousand tons from templateXValue[1] . This constitutes a recovery of the production templateYLabel[1] , which collapsed between templateXValue[min] and templateXValue[7] and fell by just under eighty percent , before it stagnated in the early 2010s . A stagnating market ? The corresponding developments in templateYLabel[0] values give the same picture as above .
According to a templateTitleDate[0] survey , templateXValue[0] for the templateTitle[1] of templateTitle[2] templateTitle[3] for electricity generation in the templateTitleSubject[1] outweighed opposition . Of templateYLabel[1] , 35 percent supported its templateTitle[1] , compared to 23 percent who opposed it . Despite templateTitle[2] disasters occurring as recently as 2011 , when a tsunami hit a power plant in Fukushima , Japan , approximately 34 percent of templateTitleSubject[1] residents believe it provides a safe source of templateTitle[3] .
This statistic shows the share of a survey , conducted by Gallup in the templateTitle[7] in 2014 , on templateTitle[2] templateTitle[3] templateTitle[4] gay and lesbian templateTitle[6] . During this survey , templateYValue[max] percent of the templateYLabel[1] were in favor of templateTitle[2] templateTitle[3] templateTitle[4] gay and lesbian templateTitle[6] in the templateTitle[7] .
The statistic shows the templateTitle[0] templateTitle[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the templateTitle[0] templateTitle[1] of templateTitleSubject[0] amounted to around templateYValue[7] templateYLabel[1] templateYLabel[0] . See the figures for the templateTitle[1] of South Korea for comparison .
This statistic presents and estimate of templateTitleSubject[0] 's templateYLabel[1] from the first templateXLabel[0] of templateTitleDate[0] to the fourth templateXLabel[0] of templateTitle[5] . In the fourth templateXLabel[0] of templateTitle[5] , the photo sharing app is projected to generate templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] in global revenues , up from an templateYLabel[0] templateYValue[6] templateYLabel[2] templateYLabel[3] templateYLabel[4] in the second templateXLabel[0] of 2019 .
During a survey in 2019 , it was found that just templateYValue[min] percent of templateTitle[3] adults visited a movie theater one or templateXValue[0] per month , but templateYValue[max] percent stated that they went to the cinema to watch a movie templateXValue[1] or templateXValue[last] or less . Another survey earlier in the same templateXValue[last] revealed that visits to the cinema can vary according to generation . On average , 34 percent of Gen Xers had seen one movie within the last month , compared to 43 percent of those classed as being members of Generation Z .
This 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[max] percent of the country 's templateTitle[3] templateTitle[4] templateTitle[5] .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in templateYLabel[2] templateYLabel[3] between templateXValue[min] and templateXValue[max] . In templateXValue[max] , templateYValue[idxmax(X)] percent of all templateTitle[3] templateTitle[4] templateTitle[5] incidents took place in templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] of templateYLabel[1] in templateTitle[1] in the templateTitle[2] templateTitle[3] templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of templateYLabel[1] ( aged six years and older ) in templateTitle[1] amounted to approximately templateYValue[idxmax(X)] templateYLabel[2] . templateTitle[1] is a popular recreational activity with more than templateYValue[min] templateYLabel[2] people partaking in templateTitle[1] activities in the templateTitle[2] each templateXLabel[0] .
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] , templateYValue[idxmax(X)] percent of templateTitleSubject[0] templateTitle[1] templateYLabel[1] were increased in the templateTitle[4] .
This statistic shows the distribution of templateTitle[1] beliefs in templateXValue[1] in templateTitleDate[0] . Approximately 36 percent of people claimed that they were a templateXValue[3] denomination , with the majority of those belonging to the templateXValue[1] of templateXValue[1] . On the templateXValue[3] hand , over half of the respondent group said that they did n't identify themselves as having a templateXValue[last] .
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] percent templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
The statistic shows the templateYLabel[0] of the templateTitleSubject[0] Fitness , templateTitle[6] company from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the health templateTitle[1] chain generated a templateYLabel[0] of around templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] . In templateXValue[idxmax(Y)] , the Minnesota ( USA ) based company operated 130 clubs .
This statistic shows the templateTitle[2] templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[2] templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to templateYValue[max] templateYValue[idxmax(X)] templateYLabel[4] .
In the fourth templateXLabel[0] of templateTitleDate[max] , templateTitleSubject[0] 's templateYLabel[0] amounted to templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] , an increase from almost templateYValue[1] templateYLabel[1] templateYLabel[2] templateYLabel[3] in the preceding templateXLabel[0] . The local business recommendation site derives most of its templateYLabel[0] from advertising .
This statistic presents the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] templateTitle[4] in templateTitle[5] in the templateTitleSubject[0] from templateXValue[7] templateTitleDate[min] to 2019 ( in templateYLabel[4] templateYLabel[2] templateYLabel[3] ) . In 2019 , the templateYLabel[0] templateYLabel[1] of a templateYLabel[3] templateTitle[4] on an auction in the templateTitleSubject[0] was templateYValue[0] templateYLabel[4] .
The templateYLabel[0] of templateYLabel[1] of the templateTitleSubject[0] of templateTitleSubject[0] ( NAR ) has steadily increased since templateXValue[7] , reaching a membership of templateYValue[max] templateYLabel[2] in templateXValue[idxmax(Y)] , an all-time high . This trend also reflects the recovery of the property market after the financial crisis of 2007 - templateXValue[min] , as the volume of home sales began to climb from templateXValue[8] . The NAR is a North American trade templateTitleSubject[0] for real estate workers formed in 1908 and currently based in Chicago , Illinois .
The statistic presents the templateTitle[0] templateTitle[1] templateTitle[2] of the average templateTitleSubject[0] templateTitle[5] templateTitle[6] user as of templateTitleSubject[0] templateTitle[9] . During the survey , templateYValue[1] percent of templateYLabel[1] stated they would choose templateXValue[1] templateTitle[1] if they could only listen to templateYValue[11] genre of templateTitle[1] for the rest of their lives . The most popular answer was templateXValue[0] , which templateYValue[max] percent of templateYLabel[1] selected as the templateYValue[11] genre of templateTitle[1] they would listen to for the rest of their lives .
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] percent 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 percent ( women are 28 percent 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 percent .
This statistic shows the results of a templateTitleSubject[0] , conducted in templateTitleDate[0] among adult Americans , on whether they believe the glass is half full or half empty . templateYValue[max] percent of templateYLabel[1] said they consider themselves optimists . The templateTitle[1] and templateTitle[2] of the American people templateTitle[1] is defined as a mental attitude or worldview that favors a positive outcome , while templateTitle[2] favors a negative outcome or prediction .
This statistic shows the templateTitle[2] templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[2] templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to templateYValue[max] templateYValue[idxmax(X)] templateYLabel[4] .
The statistic shows the templateTitle[0] templateTitle[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the templateTitle[0] templateTitle[1] of templateTitleSubject[0] amounted to around templateYValue[6] templateYLabel[1] templateYLabel[0] . See the figures for the templateTitle[1] of South Korea for comparison .
This graph depicts the templateYLabel[0] templateTitle[1] templateYLabel[1] templateTitle[3] in the templateTitleSubject[0] in templateTitleDate[0] , sorted templateTitle[5] templateXLabel[0] . In templateTitleDate[0] , the templateYLabel[0] templateTitle[1] templateYLabel[1] in the templateTitleSubject[0] was templateYValue[max] .
The templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] in templateXValue[max] was templateYValue[idxmax(X)] percent , 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] percent , before it rose suddenly in templateXValue[10] to templateYValue[6] percent . After peaking at templateYValue[max] percent 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 presents a forecast of the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the Russian Federation from templateXValue[min] to templateXValue[max] . For templateXValue[4] , the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] is estimated to reach templateYValue[4] templateYLabel[3] , with the templateYLabel[0] of templateYLabel[1] templateYLabel[2] worldwide forecast to exceed 2.5 templateYLabel[3] templateYLabel[2] by that time . By templateXValue[max] another ten templateYLabel[3] individuals are expected to own a templateYLabel[1] taking the predicted templateYLabel[0] of templateYLabel[1] templateYLabel[2] to templateYValue[idxmax(X)] templateYLabel[3] .
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] .
British oil and gas equipment company templateTitleSubject[0] generated a templateYLabel[0] of templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateXValue[max] . The origin story templateTitleSubject[0] emerged as the result of a merger in templateXValue[1] between the American company , FMC Technologies Inc. ( founded in 2001 ) , and the French company , Technip SA ( founded in 1958 ) . Headquartered in Houston , Paris , and London , templateTitleSubject[0] has grown to become one of the leading companies in the global oil and gas equipment and services technology sector .
This statistic shows the templateYLabel[0] of specialized templateYLabel[1] for the templateTitle[2] sale of templateTitle[1] in the templateTitleSubject[0] ( templateTitleSubject[1] ) from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[idxmax(X)] templateTitle[1] templateTitle[2] templateYLabel[1] in the templateTitleSubject[1] , an increase of 44 templateYLabel[1] on the previous templateXLabel[0] .
The graph shows the templateTitle[0] of templateTitle[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[idxmax(X)] percent of templateTitleSubject[0] 's templateYLabel[2] lived in cities .
templateTitleSubject[0] , the warehouse shopping club , continued to grow in templateTitleDate[0] with 782 locations worldwide at year 's end . The U.S. is still home to the vast majority of the American retailer 's templateYLabel[1] , but it has expanded into templateYValue[7] other markets . With the expansion in store count comes an increase of members , and at the end of 2018 templateTitleSubject[0] could boast over 98 million cardholders .
In the fourth templateXLabel[0] of templateTitleDate[max] , adjusted templateYLabel[3] templateTitle[3] templateYLabel[0] templateYLabel[1] amounted to over templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] . templateTitle[3] templateYLabel[0] templateYLabel[1] in the templateTitle[1] are estimated from samples used for the Monthly templateTitle[3] Trade Survey and exclude online travel services , ticket templateYLabel[1] agencies and financial brokers . Online templateTitle[3] templateYLabel[1] currently account for one tenth of total templateTitle[3] and approximately 5 percent of annual templateYLabel[0] revenue in the templateTitle[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)] templateYLabel[2] templateYLabel[3] templateYLabel[4] in templateXValue[idxmin(Y)] .
The global templateTitle[3] templateTitle[4] templateYLabel[0] templateYLabel[1] was projected to reach templateYValue[max] templateYLabel[2] 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 templateYLabel[2] 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[max] percent 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 decrease 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 increased .
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 graph depicts the templateYLabel[1] of the templateTitleSubject[0] Rays 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] templateYLabel[2] templateYLabel[3] templateYLabel[4] . The templateTitleSubject[0] Rays are owned by Stuart Sternberg , who bought the templateYLabel[0] for 200 templateYLabel[2] templateYLabel[3] templateYLabel[4] in templateXValue[15] .
This statistic shows the membership figures of social network templateTitleSubject[0] from the fourth templateXLabel[0] of 2006 to the fourth templateXLabel[0] of templateTitle[5] . During the second templateXLabel[0] of templateTitle[5] , the business professionals social network had templateYValue[26] templateYLabel[1] templateYLabel[0] .
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 increase from templateYValue[idxmin(X)] to templateYValue[idxmax(X)] templateYLabel[1] templateYLabel[2] templateYLabel[3] in the presented period .
This statistic shows the worldwide templateYLabel[0] for templateTitle[2] sponsorship from templateXValue[min] to templateXValue[max] . In the templateXLabel[0] templateXValue[3] , the templateTitleSubject[0] templateTitle[2] sponsorship templateYLabel[0] amounted to templateYValue[3] 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)] percent .
The statistic shows the templateTitle[0] templateTitle[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the templateTitle[0] templateTitle[1] of templateTitleSubject[0] amounted to around templateYValue[6] templateYLabel[1] templateYLabel[0] . See the figures for the templateTitle[1] of South Korea for comparison .
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)] percent 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[1] of templateTitleSubject[0] was about templateYValue[idxmax(X)] templateYLabel[2] 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)] percent of templateTitleSubject[0] 's templateYLabel[3] templateYLabel[2] lived in templateYLabel[1] areas and cities .
This graph depicts the templateYLabel[0] regular season templateTitle[1] templateYLabel[1] of all National Hockey League teams in the templateTitle[6] season . The templateYLabel[0] regular season templateTitle[1] templateYLabel[1] of the templateXValue[17] franchise was templateYValue[17] , slightly lower than the overall templateYLabel[0] templateYLabel[1] in the templateTitleSubject[0] .
This statistic shows the templateTitle[1] templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[idxmax(X)] percent of templateTitleSubject[0] 's templateYLabel[1] lived below the templateTitle[1] line .
The statistic shows the top-25 templateTitle[0] at the templateTitle[6] templateTitle[8] templateTitle[9] templateTitle[7] in templateTitleSubject[0] according to their current templateYLabel[0] / templateTitle[4] templateYLabel[1] . templateXValue[0] of Argentina is the templateTitle[2] valued player templateTitle[1] a templateTitle[4] templateYLabel[0] templateYLabel[1] of templateYValue[max] templateYLabel[2] templateYLabel[3] . templateYLabel[0] values of templateTitle[0] at the templateTitle[8] templateTitle[9] templateTitle[7] - additional information The market/transfer templateYLabel[1] of a football player is determined by a number of statistics , including the player 's age , salary , playing stats and recent performances .
The statistic shows data on the templateTitle[0] of templateXValue[last] genres in the templateTitle[4] as of 2016 . During the survey , templateYValue[7] percent of templateYLabel[1] stated they watched templateXValue[0] templateXValue[last] shows .
This statistic shows the templateYLabel[0] of templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateTitle[7] templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[idxmax(X)] templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[1] templateYLabel[2] members , as compared to templateYValue[14] in templateXValue[14] .
The templateTitleSubject[0] templateTitle[6] templateTitle[7] first began in 1956 templateTitle[3] templateYValue[max] templateTitle[2] contesting . Since its beginning , a total of 52 templateTitle[2] have participated in the hopes of becoming a champion . Of all the templateTitle[2] that have sung their lungs out for the coveted prize , templateXValue[0] have templateYLabel[2] the competition more than any .
In templateXValue[max] , templateTitleSubject[0] 's templateYLabel[0] templateYLabel[1] amounted to approximately templateYValue[0] templateYValue[idxmax(X)] templateYLabel[3] templateYLabel[4] . The company is one of the templateYLabel[0] templateYLabel[1] of the leading company . templateYLabel[0] templateYLabel[1] templateTitleSubject[0] had the highest templateYLabel[0] templateYLabel[1] in a given period over the last decade period .
The statistic shows the templateYLabel[1] of templateTitle[1] templateYLabel[0] in templateTitleSubject[0] from templateXValue[last] to templateXValue[0] . In templateXValue[0] , the revenue from templateTitle[1] templateYLabel[0] in templateTitleSubject[0] amounted to templateYValue[min] templateYLabel[2] 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)] percent of templateTitleSubject[0] 's templateYLabel[3] templateYLabel[2] lived in templateYLabel[1] areas and cities .
In the fourth templateXLabel[0] of templateTitleDate[max] , California-based web company templateTitleSubject[0] had an templateYLabel[0] of almost templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] , up from 10.89 templateYLabel[1] templateYLabel[2] templateYLabel[3] in the preceding fiscal templateXLabel[0] . templateTitleSubject[0] operates under the parent company Alphabet Inc .
This statistic displays the templateYLabel[0] of templateYLabel[1] of the templateTitleSubject[0] 20 group templateTitle[5] in the year ending 30th templateTitleDate[0] , templateTitle[7] county . The chart shows that there are just over 100 templateYLabel[1] in the templateXValue[0] and another templateYValue[1] templateYLabel[1] in templateXValue[1] . templateXValue[16] , templateXValue[17] , templateXValue[18] , and templateXValue[19] each had templateYValue[16] templateTitleSubject[0] shops in the templateXLabel[0] .
This statistic shows the templateTitle[0] of the templateTitleSubject[0] in templateTitleDate[0] , templateTitle[3] templateTitle[4] . On 1 , templateTitleDate[0] , approximately templateYValue[min] million people living in the templateTitleSubject[0] were templateXValue[1] and roughly templateYValue[last] million were templateXValue[last] , making the templateXValue[last] templateTitle[0] in the templateTitleSubject[0] the majority . As this statistic on the life expectancy at birth in the templateTitleSubject[0] shows , women in the templateTitleSubject[0] live some three years longer than men .
templateTitle[2] spending on the National Football League ( templateTitleSubject[0] ) and its teams has increased annually since templateXValue[min] , reaching templateYValue[max] templateYLabel[1] 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] .
This statistic shows the results of a survey among female templateTitleSubject[0] high school students templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] . According to the source , templateYValue[max] percent of female students in the templateTitle[1] were templateTitle[5] templateTitle[6] as of 2013 .
This statistic shows the templateYLabel[0] of templateTitle[1] in the templateTitle[0] that currently smoke templateTitle[4] as of 2017 , templateTitle[6] templateTitle[7] templateTitle[8] . During the survey , templateYValue[max] percent of templateYLabel[1] earning 30 thousand templateTitleSubject[0] dollars per year or less said that they smoke templateTitle[4] .
This statistic displays the templateYLabel[0] of templateYLabel[1] in to templateXValue[0] in templateTitleDate[0] , templateTitle[5] top twenty countries of templateTitle[7] . The majority of immigrants in templateXValue[0] that year were Swedes returning to templateXValue[0] . The remaining top five countries of templateTitle[7] were templateXValue[1] , templateXValue[2] , Syria and templateXValue[4] .
The statistic shows the templateYLabel[0] of templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . templateTitle[0] is measured as the proportion of templateYLabel[1] in the total templateYLabel[2] of templateYLabel[0] . In templateXValue[max] , templateYValue[idxmax(X)] percent of templateTitleSubject[0] 's templateYLabel[3] templateYLabel[4] lived in cities .
This statistic depicts a ranking of the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in the templateTitle[4] in templateTitleDate[0] . In that year , templateXValue[0] was the country 's top selling templateXValue[7] templateTitle[2] templateXLabel[0] with templateYLabel[0] that amounted to about templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
In templateTitleDate[0] , the Italian templateTitle[5] which registered the highest templateTitle[0] templateTitle[1] in the country was templateXValue[0] . In the year considered , the templateYLabel[0] templateYLabel[1] of templateYLabel[2] born templateYLabel[3] templateYLabel[4] in this area reached templateYValue[max] infants . Overall over the last years , the birth templateTitle[1] in templateTitleSubject[0] has constantly decreased .
This statistic shows the preferred templateTitle[3] templateTitle[4] for templateTitle[1] templateTitle[2] according to internet users in the templateTitle[0] in templateTitleDate[0] . During the survey period , it was found that templateYValue[1] percent of templateYLabel[1] most frequently used a templateXValue[1] templateXValue[0] to pay for templateTitle[1] purchases .
This statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitleSubject[0] ) in the United Kingdom ( templateTitleSubject[1] ) from templateXValue[min] to templateXValue[max] . During this period , the templateTitleSubject[0] rose to templateYValue[idxmax(X)] points . With the exception of templateXValue[9] - which the annual percentage change to templateTitleSubject[0] shows as a decrease - there was an increase in the templateYLabel[2] every templateXLabel[0] .
Over the past 30 years , the templateYLabel[0] templateYLabel[1] in the templateTitleSubject[0] has been steadily declining , and in templateXValue[max] , there were templateYValue[idxmax(X)] births templateYLabel[2] 1,000 of the templateYLabel[4] . In templateXValue[min] , this figure stood at templateYValue[idxmin(X)] births templateYLabel[2] 1,000 of the templateYLabel[4] . Demographics have an impact The average templateYLabel[0] templateYLabel[1] in the templateTitle[1] may be falling , but when broken down along ethnic and economic lines , a different picture is painted : Native Hawaiian and other Pacific Islander women saw the highest templateYLabel[0] templateYLabel[1] in templateXValue[idxmin(Y)] among all ethnicities , and White and Asian women both saw the lowest templateYLabel[0] templateYLabel[1] .
The timeline shows 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)] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
The statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . A positive value indicates a state surplus ; a negative value , a state deficit . In templateXValue[6] , the state deficit of templateTitleSubject[0] was at around 29.98 templateYLabel[2] templateYLabel[3] .
A 2017 survey of templateTitleSubject[0] adults found that approximately templateYValue[max] percent of American templateXValue[0] and templateYValue[min] percent of American templateXValue[last] currently smoke templateTitle[4] . Impact of Legalizing Cannabis in the templateTitle[0] . Since Washington and Colorado legalized recreational templateTitle[4] in 2012 , several more states have followed suit .
The statistic shows the average 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 increase of a defined product basket . This product basket contains products and services , on which the average consumer spends money throughout the templateXLabel[0] .
This statistic depicts the templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateYLabel[3] in selected countries in templateTitleDate[0] , templateTitle[4] templateXLabel[0] . According to the report , the templateXValue[0] had the templateTitle[2] templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateYLabel[3] that year .
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 percent 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 gives a ranking of major templateTitle[1] of templateTitle[2] templateTitle[3] templateTitleSubject[0] templateTitle[5] templateYLabel[0] in 2018 . According to the report , the templateXValue[5] States exported approximately templateYValue[1] templateYLabel[1] templateYLabel[2] of templateTitle[5] to templateXValue[1] that year .
The statistic depicts 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)] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This statistic shows templateTitleSubject[0] 's templateTitle[1] templateTitle[2] templateYLabel[0] templateYLabel[1] from the second templateXLabel[0] of templateTitleDate[min] to the second templateXLabel[0] of templateXValue[0] . As of the last reported templateXLabel[0] , templateYValue[0] percent of the group 's templateTitle[1] visits converted to purchases .
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] percent templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
In the UK , more templateXValue[1] than templateXValue[0] purchased clothing and templateTitle[1] templateTitle[2] over the internet in templateTitleDate[0] . According to an annual survey conducted and released templateTitle[8] the UK 's Office for National Statistics , templateYValue[1] percent of templateXValue[1] purchased clothing items templateTitle[3] within the last 12 months , and more prevalently in the younger age groups across both genders . UK shops templateTitle[3] for clothing and furniture For British consumers , clothing and templateTitle[1] templateTitle[2] are the most popular category to shop templateTitle[3] .
There were templateYValue[min] templateTitle[1] templateTitle[2] recorded in templateTitleSubject[0] in templateXValue[idxmin(Y)] . templateTitleSubject[0] had been able to decrease 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 increased .
The statistic shows the templateYLabel[1] generated by templateTitleSubject[0] , templateTitleSubject[1] , and templateTitle[2] for the fiscal years templateXValue[min] to templateXValue[max] . templateTitleSubject[0] , templateTitleSubject[1] , and templateTitle[2] reported a record templateYLabel[1] of over templateYValue[3] templateYLabel[2] templateYLabel[3] templateYLabel[4] in templateXValue[3] , up templateTitle[5] templateYValue[4] templateYLabel[2] in the previous templateXLabel[0] .
The timeline presents data on the templateTitle[4] templateTitle[5] generated by Twenty First templateTitle[1] templateTitleSubject[0] in the fiscal years templateXValue[min] to templateXValue[max] . In the fiscal templateXLabel[0] templateXValue[max] , the company generated templateYValue[idxmax(X)] templateYLabel[1] US templateYLabel[3] , up templateTitle[6] templateYValue[1] a templateXLabel[0] earlier .21st templateTitle[1] templateTitleSubject[0] consists of News Corporations templateTitle[3] former TV and film divisions . It split templateTitle[6] the News Corp. in 2013 .
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)] million templateYLabel[0] templateYLabel[1] templateTitle[4] . templateTitleSubject[0] is ranked among the 15 largest automakers templateTitle[4] .
This statistic shows the templateYLabel[0] forecasts templateTitle[2] the templateYLabel[4] templateTitle[4] and templateTitle[5] templateTitle[6] from templateXValue[min] to templateXValue[max] . Estimated templateYLabel[0] templateTitle[2] templateXValue[4] is templateYValue[4] templateYLabel[3] templateYLabel[4] dollars . templateYLabel[4] templateTitle[4] and templateTitle[5] templateTitle[6] The templateTitle[4] and templateTitle[5] templateTitle[6] comprises a wide range of products , including art and craft , building and other learning and hobby sets/toys , dolls , jigsaw , board and card templateTitle[5] , action figures , die cast models , soft templateTitle[4] and outdoor templateTitle[5] and sports toys/games .
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)] templateYLabel[1] 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 .
The statistic shows a forecast for the templateTitleSubject[0] templateTitle[1] templateYLabel[0] from templateXValue[min] to templateXValue[max] . In templateXValue[2] , the templateTitle[1] templateYLabel[0] templateYLabel[1] was expected to generate templateYLabel[2] templateYLabel[3] templateYLabel[4] . The global templateTitle[1] market includes telecom services , templateYLabel[1] outsourcing and hardware maintenance , templateYLabel[1] consulting and systems integration services , software , communications equipment , and computer equipment .
The timeline shows the templateYLabel[0] templateTitle[1] templateYLabel[1] at games of the templateTitleSubject[0] templateTitle[4] templateTitle[5] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitleSubject[0] held a templateYLabel[0] of templateYValue[idxmax(X)] templateYLabel[1] templateYLabel[3] .
In templateXValue[max] , the number of monthly active templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] is projected to reach templateYValue[idxmax(X)] templateYLabel[2] individuals . This would be an increase of approximately six templateYLabel[2] new templateYLabel[1] compared to templateXValue[min] . The penetration rate is also expected to increase .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitle[1] templateTitle[2] in templateTitleSubject[0] was at about templateYValue[idxmax(X)] templateYLabel[0] templateYLabel[1] 1,000 templateYLabel[3] templateYLabel[4] .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] of templateTitle[3] templateXValue[0] templateYLabel[1] from templateTitleSubject[0] in templateTitleDate[0] . During the Deloitte survey , templateYValue[max] percent of templateYLabel[1] stated that templateXValue[0] the templateXValue[0] social or templateXValue[0] was their favorite source of templateTitle[3] .
This statistic shows the templateTitle[1] templateTitle[2] templateYLabel[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , templateTitleSubject[0] 's templateTitle[1] templateTitle[2] templateYLabel[0] amounted to templateYValue[3] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateTitle[3] of the templateYLabel[1] templateYLabel[2] in the templateTitleSubject[0] ( templateTitleSubject[1] ) from templateXValue[min] to templateXValue[max] and visualises the predicted 'ageing templateTitle[6] ' _ . Over the 20 templateXLabel[0] period , the templateYLabel[1] templateYLabel[2] is expected to increase by 1.7 years , the largest increase predicted between templateXValue[2] and templateXValue[1] at 0.8 years .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in templateTitle[3] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[idxmax(X)] templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] . Gambling in templateTitleSubject[0] - additional information The templateYLabel[0] of templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] increased by more than 2,000 between 2007 and templateXValue[1] .
The templateTitleSubject[0] ' templateYLabel[0] templateYLabel[1] seems to have leveled off after peaking at more than templateYValue[6] percent in templateXValue[6] and jumping up and down a few years prior . The templateTitleSubject[0] are considered `` newly industrialized '' , but the economy relies on remittances from nationals overseas , and the services sector generates most of its GDP . Emerging and soon to develop ? After switching from agriculture to services and manufacturing , the templateTitleSubject[0] are now an emerging economy , i.e .
This statistic shows the most common templateTitle[0] of online adults in the templateTitle[5] when encountering templateTitle[1] templateTitle[2] on templateTitle[3] templateTitle[4] . During the 2017 survey , templateYValue[max] percent of templateYLabel[1] stated they would templateXValue[0] the templateXValue[3] , whereas templateYValue[1] percent would unfollow or unfriend the templateXValue[1] .
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] templateYLabel[4] British pounds ( templateYLabel[5] ) to templateYValue[9] templateYLabel[4] templateYLabel[5] in the next fiscal templateXLabel[0] .
templateTitleSubject[0] Group 's templateYLabel[1] reached a peak in the templateXValue[max] fiscal templateXLabel[0] . The carmaker 's templateYValue[max] templateYLabel[2] templateYLabel[3] in templateYLabel[1] also secured VW a spot in the ranking of the wealthiest companies worldwide . Key brand The templateTitleSubject[0] Passenger Cars division represented the largest contributor to the company 's templateYLabel[1] with a templateYLabel[1] share of about 36 percent in templateXValue[idxmax(Y)] .
templateTitleSubject[0] has managed to increase its annual templateYLabel[0] from templateXValue[1] by three percent , meaning that annual templateYLabel[0] surpassed templateYValue[max] templateYLabel[1] templateYLabel[2] in the templateXValue[idxmax(Y)] fiscal templateXLabel[0] . Restructure and redirection templateYLabel[0] grew in templateXValue[max] at templateTitleSubject[0] in spite of a struggling power and gas division , which will be spun off by the end of 2020 . In fact , templateYLabel[0] from this division dropped from around 18 templateYLabel[1] templateYLabel[2] in templateXValue[1] to about 17.66 templateYLabel[1] templateYLabel[2] in templateXValue[max] .
As of the third quarter of templateTitleDate[0] , it was found that templateYValue[max] percent of templateTitleSubject[0] users in the templateTitleSubject[1] accessed the photo sharing app templateXValue[0] a templateXValue[0] . A further templateYValue[1] percent of templateYLabel[1] claimed that they used templateTitleSubject[0] on a templateXValue[1] basis .
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 .
The templateTitleSubject[0] is growing 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] templateYLabel[3] templateYLabel[4] .
This statistic displays the distribution of templateTitleSubject[0] templateTitle[1] the templateTitle[2] templateTitle[3] of templateYLabel[2] caused templateTitle[5] terrorist activities in templateTitleDate[0] . The templateTitle[2] templateTitle[3] of templateYLabel[2] from templateYLabel[1] in templateTitleDate[0] occurred in templateXValue[0] , accounting for templateYValue[max] percent of all templateYLabel[2] . In that year alone , terrorist incidents worldwide resulted in approximately 15,952 fatalities .
The statistic depicts the templateYLabel[0] of the templateTitleSubject[0] , a franchise of the National Football League , from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of the templateTitleSubject[0] was templateYValue[max] templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
This statistic shows the total templateYLabel[0] of templateYLabel[1] templateTitle[1] templateTitle[2] templateTitleSubject[0] Airline Company Ltd between templateXValue[min] and templateXValue[max] . templateTitleSubject[0] is the UK 's biggest airline in terms of templateYLabel[0] of templateYLabel[1] and is based at Luton airport . In templateXValue[1] templateTitleSubject[0] UK Ltd joined the templateTitleSubject[0] Airline Company Ltd Group .
This statistic provides information on the templateTitle[1] templateTitle[2] templateTitle[3] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , it was estimated that templateYValue[idxmax(X)] percent of the Indian templateYLabel[1] will be accessing templateTitle[1] networks , up from templateYValue[5] percent in templateXValue[5] .
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] .
The statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of US-registered templateTitle[4] templateTitle[5] templateTitle[6] from templateXValue[min] to templateXValue[max] . It was found that the templateYLabel[0] global templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[5] registered in the country amounted to approximately templateYValue[0] templateYValue[idxmax(X)] templateYLabel[4] templateYLabel[5] in templateXValue[max] . templateTitle[4] templateTitle[5] - additional information templateTitle[4] templateTitle[5] are investment templateTitle[5] in which the capital is pooled from a number of different investors and then used to buy securities such as stocks , bonds or money market instruments .
In templateXValue[max] , templateYValue[idxmax(X)] people were killed in motor vehicle accidents in templateTitleSubject[0] . An overall decrease in the templateYLabel[0] of templateTitle[1] templateTitle[2] was observed within the time period shown . The highest templateYLabel[0] of templateTitle[1] templateYLabel[1] in this timeframe occurred in templateXValue[11] , with figures nearly twice as high as those reported in templateXValue[max] .
The statistic presents 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 increased over the last decades .
This statistic shows the development of templateTitleSubject[0] 's templateYLabel[0] templateYLabel[1] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[1] of templateTitleSubject[0] was about templateYValue[idxmax(X)] templateYLabel[2] 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 .
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)] templateYLabel[1] .
The athletic Korean K-pop boyband templateTitleSubject[0] , also known as the Bangtan Boys templateYLabel[1] around templateYValue[max] templateYLabel[3] templateYLabel[4] of their templateYLabel[2] up until templateXValue[idxmax(Y)] . The boyband is known as the biggest boyband in templateTitleSubject[1] and has fans all over the globe . The templateTitleSubject[0] phenomenon templateTitleSubject[0] , also known as ‘ Bangtan Boys ' ( or Bangtan Sonyeondan in Korean ) , formed in 2010 and had their debut in templateXValue[min] .
In templateXValue[max] , the templateTitleSubject[0] produced approximately templateYValue[max] templateYValue[idxmax(X)] templateYLabel[3] of templateYLabel[0] worldwide , an increase of 53 templateYLabel[2] templateYLabel[3] on the previous templateXLabel[0] . The company templateTitle[2] templateTitle[3] templateYLabel[0] templateYLabel[1] has increased by about 75 percent since templateXValue[6] . Asia at the center of templateTitle[3] operations network The templateTitleSubject[0] 's templateYLabel[0] templateYLabel[1] has risen year-on-year since templateXValue[6] .
The statistic shows the templateTitle[0] templateTitle[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the templateTitle[0] templateTitle[1] of templateTitleSubject[0] amounted to around templateYValue[6] templateYLabel[1] templateYLabel[0] . See figures for Switzerland 's templateTitle[1] and the templateTitle[1] of Italy for comparison .
This statistic shows the results of a templateTitleDate[0] survey among templateTitleSubject[0] templateTitle[1] aged 18 to 60 about their stance on templateXValue[0] on templateTitle[4] . They were asked how they would manage to templateXValue[0] on templateTitle[4] templateTitle[5] templateTitle[6] a templateXValue[0] with others . templateYValue[max] percent of the templateTitle[1] stated templateXValue[1] they would templateXValue[0] when templateXValue[0] is in the templateXValue[0] .
This statistic presents the templateYLabel[0] of templateYLabel[1] templateYLabel[2] at least one templateTitle[0] in the templateTitleSubject[0] by templateXLabel[0] in templateTitle[4] . templateXValue[0] and templateXValue[1] ranked highest with templateYValue[max] percent of templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateTitle[4] , followed templateTitle[5] the templateXValue[2] with templateYValue[2] percent .
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] templateYLabel[1] templateYLabel[2] templateYLabel[3] in the templateXValue[idxmax(Y)] season .
In templateXValue[max] , the templateTitleSubject[0] templateTitle[2] templateTitle[3] templateTitle[4] Group reported a templateYLabel[0] of almost templateYValue[min] templateYLabel[1] templateYLabel[2] . Despite the impressive figure , the templateYLabel[0] of templateXValue[idxmin(Y)] represented a decrease for templateTitle[4] compared to the previous years . Indeed , in templateXValue[min] , the first templateXLabel[0] considered in this graph , the templateYLabel[0] of the templateTitle[3] amounted to approximately templateYValue[max] templateYLabel[1] templateYLabel[2] .
This statistic illustrates the templateTitle[0] of templateTitle[1] in selected European countries in templateTitleDate[0] . The templateXValue[0] ( UK ) had the highest templateYLabel[0] of templateYLabel[1] with templateTitle[1] in templateTitleSubject[0] , with a templateTitle[0] of templateYValue[max] templateYLabel[2] templateYLabel[1] . The templateYLabel[0] of templateYLabel[1] with templateTitle[1] in templateXValue[last] was noticeably less at templateYValue[min] templateYLabel[2] .
The templateYLabel[0] of templateTitleSubject[0] Inc. , the Montreal-based dairy company , reached approximately templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateXValue[idxmax(Y)] . Their templateYLabel[0] has gradually increased year-on-year from templateYValue[min] templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateXValue[idxmin(Y)] . templateTitleSubject[0] Inc. templateTitleSubject[0] Inc. produces , markets and distributes dairy products .
This statistic shows the results of a templateTitleDate[0] survey among Americans aged 16 and older regarding the templateTitle[0] they are looking for in a close templateTitle[2] . This statistic only shows the top five answers to that question . templateYValue[max] percent of the templateYLabel[1] stated a close templateTitle[2] has to be loyal .
The templateTitle[0] templateTitle[1] in templateTitleSubject[0] was templateYValue[max] people templateYLabel[1] templateYLabel[2] templateYLabel[3] ( 47.24 templateYLabel[1] templateYLabel[2] mile ) in templateXValue[idxmax(Y)] . This number has been slowly increasing for the past ten years . Higher templateTitle[0] templateTitle[1] is associated with urbanization , but not necessarily economic growth .
This statistic displays the domestic templateYLabel[0] of templateTitle[1] templateTitle[2] in the templateTitle[0] from templateXValue[last] to templateXValue[1] and provides a forecast for templateXValue[0] . templateTitleSubject[0] domestic templateTitle[1] templateTitle[2] templateYLabel[0] was estimated to reach approximately templateYValue[min] templateYLabel[2] templateYLabel[3] at templateYLabel[4] templateYLabel[5] templateYLabel[6] in templateXValue[idxmin(Y)] .
This statistic shows the templateTitle[2] templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[2] templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to templateYValue[max] templateYValue[idxmax(X)] templateYLabel[4] .
This statistic presents templateTitleSubject[0] 's templateTitle[1] templateTitle[2] templateYLabel[0] templateYLabel[1] from the second templateXLabel[0] of templateTitleDate[min] to the second templateXLabel[0] of templateTitleDate[max] . As of the last reported templateXLabel[0] , templateYValue[0] percent of the group 's templateTitle[1] visits converted to purchases .
The statistic shows which templateTitle[1] templateTitle[2] are templateTitleSubject[0] to U.S. survey templateYLabel[1] templateTitle[3] templateTitle[4] a templateTitle[5] templateXValue[10] in templateTitleDate[0] . During the survey , templateYValue[1] percent of templateYLabel[1] cited templateXValue[1] as templateTitleSubject[0] templateTitle[3] templateTitle[4] a templateTitle[5] templateXValue[10] .
The templateYLabel[0] templateYLabel[1] of templateTitle[0] templateTitle[1] manufactured in the templateTitleSubject[1] was approximately 40 thousand tons in templateXValue[max] , an increase of over eight thousand tons from templateXValue[1] . This constitutes a recovery of the production templateYLabel[1] , which collapsed between templateXValue[min] and templateXValue[7] and fell by just under eighty percent , before it stagnated in the early 2010s . A stagnating market ? The corresponding developments in templateYLabel[0] values give the same picture as above .
This statistic presents the templateTitle[2] templateTitleSubject[0] Group templateYLabel[0] from the fourth templateXLabel[0] of 2013 to the fourth templateXLabel[0] of templateTitleDate[0] . In the last templateXLabel[0] of templateTitleDate[0] , templateTitleSubject[0] 's total templateYLabel[0] reached nearly templateYValue[max] templateYLabel[1] templateYLabel[2] . Company 's business segments include core commerce , cloud computing , digital media entertainment , innovation initiatives and others .
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)] templateYLabel[2] 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] percent of a foreign business .
The statistic presents information on the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitleSubject[0] ( UK ) on templateTitle[4] , Inc. as of October templateTitleDate[0] . According to the estimates , the battle royale game developed by Bluehole attracted templateYValue[max] templateYLabel[3] templateYLabel[1] templateYLabel[2] on a templateXValue[0] . At the same time , the game had a player base of 10 templateYLabel[1] templateYLabel[2] .
templateTitle[0] templateYLabel[1] templateYValue[3] cars in the templateTitleSubject[0] ( UK ) in 2019 , translating to a market share of 8.9 percent . In the past four years , templateTitle[2] volume remained stable , with the most profitable months coming in March and September of each year . templateTitle[2] in March and are often considerably higher , as these are the months in which the Driver & Vehicle Licensing Agency ( DVLA ) issues new registration plates .
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] increased , reaching around templateYValue[2] templateYLabel[1] Turkish liras in templateXValue[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)] percent .
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)] percent .
This statistic illustrates the templateYLabel[0] of the templateTitle[1] templateTitle[2] in the templateTitle[0] in templateTitleDate[0] , templateTitle[4] templateXLabel[0] . According to the report , fish templateYLabel[0] in templateXValue[last] amounted to about templateYValue[min] templateYLabel[1] in templateTitleDate[0] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitleSubject[0] in the templateTitle[7] as of 2013 . During the survey , templateYValue[3] percent of templateTitleSubject[0] stated templateXValue[3] with templateXValue[3] and templateXValue[3] as a favorite templateTitle[2] activity .
As of 2019 , templateXValue[last] was the Canadian templateXLabel[0] home to the most templateTitle[1] templateTitle[2] templateYLabel[1] in the whole of templateTitleSubject[0] , with templateYValue[max] . templateXValue[3] and templateXValue[2] ranked in second and third places , with templateYValue[3] and templateYValue[2] templateYLabel[1] respectively . At that time , there were templateTitle[1] templateTitle[2] templateYLabel[1] located in five of templateTitleSubject[0] 's ten provinces .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateTitle[2] a templateTitle[3] templateTitle[4] in the templateTitle[5] , templateTitle[7] templateXLabel[0] templateXLabel[1] . In templateTitleDate[0] , templateYValue[max] percent of templateTitleSubject[0] templateYLabel[1] aged between 18 and 24 years played a templateTitle[3] templateTitle[4] .
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)] percent .
The statistic shows the templateTitle[0] templateTitle[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the templateTitle[0] templateTitle[1] of templateTitleSubject[0] amounted to around templateYValue[6] templateYLabel[1] templateYLabel[0] . See the figures for the templateTitle[1] of South Korea for comparison .
Cosmetics and templateTitle[1] are bought in larger quantities each passing templateXLabel[0] in the UK . Most recently , in 2019 , the templateTitle[2] templateYLabel[2] templateTitle[4] of articles in these two categories reached an templateYLabel[0] templateYLabel[1] of templateYValue[0] as presented in the graph . This was lower than the templateTitle[4] recorded for the previous months of the year , but still higher than the figures recorded in templateTitleDate[min] , 2017 and the first half of 2018 .
The statistic shows the templateTitle[0] templateTitle[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In the templateXLabel[0] templateXValue[max] , the templateTitle[0] templateTitle[1] of templateTitleSubject[0] amounted to approximately templateYValue[idxmax(X)] templateYLabel[1] templateYLabel[0] .
This statistic shows the templateYLabel[0] of adults in the templateTitleSubject[0] who were using templateTitle[0] as of 2019 , sorted templateTitle[6] templateTitle[7] . During that period of time , templateYValue[max] percent of female templateYLabel[1] stated that they used the social networking site .
