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[max] percent of templateTitleSubject[0] 's templateYLabel[3] templateYLabel[2] lived in templateYLabel[1] areas and cities .
This statistic depicts the templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] in the templateTitle[8] as of templateTitleDate[0] . During the survey , templateYValue[max] percent of the templateYLabel[1] stated that templateXValue[0] templateXValue[0] was the templateTitle[0] templateTitle[3] templateTitle[3] templateTitle[4] templateTitle[5] in templateTitleDate[0] .
This statistic depicts the development of templateTitleSubject[0] 's templateYLabel[0] templateYLabel[1] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] was about templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
The statistic depicts the templateYLabel[1] templateTitle[1] of templateTitle[2] templateTitle[3] in the templateTitle[4] in templateTitleDate[0] . In that year , templateXValue[0] templateXValue[0] was the country 's templateTitle[2] templateXLabel[0] with an estimated templateYLabel[0] of approximately templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] templateYLabel[5] in templateXValue[1] .
This statistic shows the number of people in thousands on a zero-hour contract in the templateTitleSubject[0] templateTitleSubject[0] ( templateTitleSubject[1] ) from templateXValue[min] to templateXValue[max] . In templateXValue[min] , there were templateYValue[max] thousand people .
This statistic displays templateTitleSubject[0] 's templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] the first templateXLabel[0] of templateTitleDate[0] to the second templateXLabel[0] of templateTitleDate[1] . In the second templateXLabel[0] of templateTitleDate[1] , templateTitleSubject[0] templateTitleSubject[0] reported a total templateYLabel[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateTitle[3] templateTitle[4] templateTitle[5] .
The statistic depicts the templateYLabel[0] of the templateTitleSubject[0] 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] templateTitleSubject[0] was templateYValue[max] templateYLabel[1] 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[0] percent of templateTitleSubject[0] 's templateYLabel[1] lived below the templateTitle[1] line .
This statistic gives information on the annual amount of smartphones worldwide as of January templateTitleDate[0] , sorted templateTitle[5] templateTitle[6] templateTitle[9] . During the survey period , it was found that templateYValue[max] templateYLabel[1] templateYLabel[2] in templateXValue[2] templateXValue[2] templateXValue[2] amounted to templateYValue[2] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This graph depicts the templateYLabel[0] templateYLabel[1] templateYLabel[2] for templateTitleSubject[0] templateTitleSubject[0] templateTitle[6] of the National Basketball Association from templateXValue[last] to templateXValue[0] . In the templateXValue[last] season , the templateYLabel[0] templateYLabel[1] templateYLabel[2] was templateYValue[8] templateYLabel[3] templateYLabel[4] .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] had a templateYLabel[0] of around templateYValue[min] templateYLabel[2] templateYLabel[3] .
This statistic shows the results of a survey conducted in the templateTitle[4] from templateXValue[min] to templateXValue[max] . In the most recently reported period , the social network had an estimated templateYValue[max] templateYLabel[2] templateYLabel[1] templateYLabel[2] .
The statistic shows the templateYLabel[0] of the templateTitleSubject[0] 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 percentage of internet users in the templateTitle[0] as of July templateTitleDate[0] . During the survey , templateYValue[max] percent of templateYLabel[1] stated that they used templateTitle[3] templateTitle[4] .
This statistic shows the templateYLabel[0] of titles of templateTitleSubject[0] from worldwide as of January templateTitleDate[0] , sorted templateTitle[5] templateTitle[6] templateTitle[7] . As of that year , the templateXValue[0] templateXValue[0] was the templateTitle[1] imported approximately templateYValue[max] templateYLabel[2] templateYLabel[1] templateYLabel[2] . The social networking site was ranked third in the templateTitle[3] .
This statistic shows the templateTitle[1] templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[0] percent of templateTitleSubject[0] 's templateYLabel[1] lived below the templateTitle[1] line .
The statistic gives information on the most popular templateTitleSubject[0] templateTitle[1] worldwide as of July templateTitleDate[0] . As of the survey period , it was found that templateYValue[max] percent of the latest app were imported more than customers worldwide . In the same year , the templateXValue[0] was ranked second with a total of templateYValue[max] templateYLabel[2] templateYLabel[1] templateYLabel[2] .
The templateTitle[0] templateTitle[1] templateTitle[2] for the templateTitleSubject[0] templateTitleSubject[0] in templateXValue[max] was templateYValue[0] percent , an increase of 0.01 percent when compared with templateXValue[1] . In templateXValue[max] , the share of templateYLabel[1] who were members of a templateTitle[0] templateTitle[1] was templateYValue[max] percent , nine percent more than templateXValue[max] . Uniting the unions In 2016/17 one the biggest templateTitle[0] Unions in the templateTitleSubject[0] templateTitleSubject[0] was Unite , with a membership of over 1.28 million people .
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[max] 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[1] . 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 gives information on the templateTitle[1] templateTitle[2] templateTitle[4] templateTitleSubject[0] worldwide as of January templateTitleDate[0] , based on the social network . During the survey period , templateYValue[max] percent of templateTitle[3] templateYLabel[1] were between templateXValue[0] and templateXValue[1] .
This statistic gives information on the most popular templateTitleSubject[0] in the templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[2] , around templateYValue[2] templateYLabel[2] templateTitle[0] were templateYLabel[1] in the templateTitleSubject[0] . This figure is projected to grow to templateYValue[max] templateYLabel[2] in templateXValue[max] .
This statistic represents the estimated templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the Japanese company generated templateYLabel[0] of approximately templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] , up from templateYValue[1] templateYLabel[1] templateTitle[4] the previous templateXLabel[0] .
This statistic represents the annual templateYLabel[0] of people templateTitleSubject[0] from templateXValue[min] to templateXValue[max] as of the fiscal templateXLabel[0] of templateXValue[max] . As of the last reported period , it was found that approximately templateYValue[max] templateYLabel[1] templateYLabel[2] in templateXValue[5] .
This statistic represents the annual templateYLabel[0] of visitor numbers in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , approximately templateYValue[max] templateYLabel[1] templateYLabel[2] were sold in templateTitleSubject[0] . The templateYLabel[0] of terrorist terrorist attacks in templateTitleSubject[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] .
This statistic represents the annual templateYLabel[0] of the templateTitleSubject[0] from templateXValue[min] through templateXValue[max] . In templateXValue[max] , about templateYValue[max] templateYLabel[1] templateYLabel[2] , up from templateYValue[1] templateYLabel[1] templateYLabel[2] in the previous templateXLabel[0] . templateTitleSubject[0] - additional information templateTitleSubject[0] 's annual templateYLabel[0] amounted to 2.2 templateYLabel[1] templateYLabel[2] in templateXValue[max] .
This statistic shows the percentage of templateTitleSubject[0] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] templateTitle[7] in the templateTitle[6] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[0] percent of templateTitleSubject[0] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] templateTitle[7] in the templateTitle[7] amounted to templateYValue[0] percent .
This statistic represents the annual templateYLabel[0] templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[min] templateYLabel[1] templateYLabel[2] were generated to 100,000 templateYLabel[4] templateYLabel[5] . This figure is projected to grow to templateYValue[max] templateYLabel[1] templateYLabel[2] in templateXValue[max] .
This statistic gives information on the percentage of mobile templateTitle[4] templateTitleSubject[0] templateTitle[2] as of the fourth templateXLabel[0] of templateXValue[0] . In the third templateXLabel[0] of templateXValue[0] , the website had templateYValue[max] templateYLabel[1] templateYLabel[2] worldwide , up from templateYValue[5] templateYLabel[1] templateYLabel[2] in the corresponding templateXLabel[0] of templateXValue[5] . templateTitleSubject[0] - the third templateXLabel[0] of templateXValue[5] . templateTitleSubject[0] has come come come come to as of templateXValue[16] .
This statistic shows the templateTitle[0] templateTitle[1] ( templateYLabel[0] ) of the templateTitle[4] club club of Major League Soccer by templateTitle[0] in templateTitleDate[0] . templateXValue[0] templateXValue[0] received a salary of templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] in that year .
This statistic shows the templateYLabel[0] of templateTitleSubject[0] templateTitleSubject[0] templateTitle[3] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] amounted to approximately templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateTitleSubject[0] templateTitleSubject[0] templateTitle[2] templateYLabel[1] templateTitle[4] templateTitle[5] as of October 11 , templateTitleDate[0] . templateXValue[0] templateXValue[0] has hit the most templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] templateTitleSubject[0] franchise history with templateYValue[max] templateYLabel[1] templateYLabel[2] .
This statistic presents the templateTitle[1] of templateTitle[0] of templateTitle[0] app templateYLabel[2] from templateXValue[last] to templateXValue[0] . As of the last templateTitle[5] , the social network had a templateYLabel[0] of templateYValue[max] templateYLabel[1] templateYLabel[2] , up from templateYValue[1] templateYLabel[1] templateYLabel[2] in the previous year .
This statistic shows the templateYLabel[0] of templateYLabel[1] in the templateTitle[3] from templateXValue[min] to templateXValue[max] . There were approximately templateYValue[max] templateYLabel[2] templateYLabel[1] in templateXValue[max] .
This statistic depicts the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[5] in the templateTitle[0] from templateXValue[min] to templateXValue[max] . According to the report , the templateTitleSubject[0] templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[5] amounted to approximately templateYValue[0] templateYLabel[3] in templateXValue[max] .
This graph shows the templateTitle[0] templateYLabel[0] of templateTitleSubject[0] templateTitle[2] in the templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] 's templateYLabel[0] amounted to templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic represents the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] worldwide as of the fourth quarter templateTitleDate[0] . As of the last reported period , templateTitleSubject[0] 's templateYLabel[0] templateYLabel[1] amounted to approximately templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This statistic depicts the ranking ranking of the templateTitleSubject[0] templateTitleSubject[0] templateYLabel[0] from templateXValue[min] to December templateTitleDate[1] . templateTitleSubject[0] 's templateYLabel[0] amounted to approximately templateYValue[0] templateYLabel[1] templateTitle[4] . templateTitleSubject[0] templateYLabel[0] – additional information templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] amounted to the templateTitle[4] amounted to templateYValue[0] templateYLabel[1] templateTitle[4] – additional information templateTitleSubject[0] templateTitleSubject[0] templateXValue[25] templateXValue[25] templateXValue[25] .
This statistic represents the templateYLabel[0] of templateTitleSubject[0] templateTitleSubject[0] templateYLabel[1] as of the fiscal templateXLabel[0] of templateXValue[min] to the fiscal templateXLabel[0] of templateXValue[max] . As of templateXValue[max] , there were approximately templateYValue[max] templateYLabel[1] templateTitle[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[max] templateYLabel[2] templateTitle[2] templateTitle[3] templateYLabel[1] in templateTitleSubject[0] , up from templateYValue[min] templateYLabel[2] in 2016 .
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[0] percent .
This statistic provides information on the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] had templateYValue[max] templateYLabel[3] templateYLabel[1] templateYLabel[2] . This figure is projected to grow to templateYValue[max] templateYLabel[3] templateYLabel[1] templateYLabel[2] in templateXValue[max] .
This statistic represents the annual templateYLabel[0] of people as of January templateTitleDate[0] , sorted templateTitle[5] templateYLabel[1] templateYLabel[2] in the templateTitle[8] templateTitle[9] templateYLabel[0] . According to the source , templateYValue[max] templateYLabel[1] templateYLabel[2] were templateTitleSubject[0] dollars .
Since templateTitleDate[0] , the templateYLabel[0] templateYLabel[1] of templateTitle[2] in the templateTitle[3] has stayed more or less steady . In templateTitleDate[0] , the female templateYLabel[0] templateYLabel[1] was templateYValue[29] 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 .
The statistic shows the templateYLabel[0] of templateYLabel[1] due to templateTitle[0] in the templateTitle[4] in templateTitleDate[0] . According to the source , approximately templateYValue[2] people were recorded in the templateTitle[1] .
This statistic gives information on the monthly templateYLabel[0] of people people worldwide as of January templateTitleDate[0] to January templateTitleDate[1] . In the survey period , templateYValue[max] templateYLabel[2] people were shipped worldwide . templateTitleSubject[0] 's templateXValue[16] templateXValue[16] templateXValue[16] .
This statistic gives information on the templateTitle[2] of templateTitle[4] templateTitleSubject[0] templateTitle[5] in the templateTitleSubject[1] templateTitleSubject[1] as of December templateTitleDate[0] . During the survey period , it was found that templateYValue[1] percent of templateXValue[1] templateXValue[1] templateXValue[2] templateXValue[2] had a templateXValue[1] basis .
The statistic shows the templateYLabel[0] of the templateTitleSubject[0] 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] templateTitleSubject[0] - additional information The templateTitleSubject[0] templateTitleSubject[0] are a franchise of the National Basketball Association ( NBA ) that is part of the newly formed NBA in 1949 .
This statistic gives information on the percentage of mobile templateTitleSubject[0] worldwide as of the fourth templateXLabel[0] of templateXValue[0] . In the third templateXLabel[0] of templateXValue[0] , the Germany-based electricity more than templateYValue[max] templateYLabel[1] templateYLabel[2] in the third templateXLabel[0] of templateXValue[5] . templateTitleSubject[0] is a Japanese Japanese Japanese Japanese user numbers compared to the third templateXLabel[0] of templateXValue[4] .
This statistic gives information on the templateTitle[1] templateTitle[2] templateYLabel[0] of templateYLabel[1] as of January templateTitleDate[0] , templateTitle[4] templateTitle[5] templateTitle[6] . During the survey period , templateYValue[max] percent of templateYLabel[1] stated they think the social network .
The templateYLabel[0] of templateYLabel[1] in templateTitleSubject[0] has been decreasing every templateXLabel[0] , amounting to templateYValue[min] in templateXValue[max] . In comparison , there were templateYValue[max] templateYLabel[1] in templateXValue[min] . 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 templateYLabel[0] of templateTitle[2] templateTitleSubject[0] templateTitleSubject[0] from the first templateXLabel[0] of templateTitle[5] to the fourth templateXLabel[0] of templateTitle[6] . In the second templateXLabel[0] of templateTitleDate[1] , templateTitleSubject[0] announced more than templateYValue[max] templateYLabel[2] templateYLabel[0] , up from templateYValue[1] templateYLabel[1] templateYLabel[2] in the preceding templateXLabel[0] . templateTitleSubject[0] templateTitleSubject[0] - additional information templateTitleSubject[0] , which was one of the most popular social network templateTitle[5] .
This statistic shows the results of a survey conducted in the country in templateTitleDate[0] as of templateTitle[5] . During the survey , templateYValue[max] percent of templateYLabel[1] stated that they planned to visit a templateXValue[0] templateXValue[0] templateTitle[3] templateTitle[4] templateTitle[5] .
This statistic represents the templateYLabel[0] of templateTitleSubject[0] templateTitleSubject[0] templateYLabel[1] as of the fiscal templateXLabel[0] of templateXValue[min] to the fiscal templateXLabel[0] of templateXValue[max] . templateTitleSubject[0] had templateYValue[max] people worldwide .
This statistic represents the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , about templateTitleSubject[0] 's templateYLabel[0] amounted to approximately templateYValue[0] million templateYLabel[1] templateYLabel[2] .
This statistic shows the research and development ( templateTitleSubject[0] ) templateYLabel[0] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] had a total templateYLabel[0] of templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic represents the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] ( templateYLabel[0] ) templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up to templateXValue[max] . templateYLabel[0] refers to the total value of all goods and services that are produced within a country templateYLabel[1] templateXLabel[0] . It is an important indicator of the economic strength of a country .
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 worldwide templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[2] , around templateYValue[2] templateYLabel[1] templateYLabel[2] were generated in the country . In templateXValue[3] , templateYValue[3] templateYLabel[2] in the same templateXLabel[0] .
The figure shows the templateYLabel[0] of templateTitle[1] templateTitle[3] templateYLabel[1] in the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[0] templateYLabel[1] in the templateTitleSubject[0] templateTitleSubject[0] .
This statistic represents the annual amount of templateTitle[1] templateYLabel[0] templateYLabel[1] templateYLabel[2] in the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[max] percent of the templateTitleSubject[0] templateTitleSubject[0] were generated templateTitle[7] , up from templateYValue[1] percent in the previous templateXLabel[0] .
This statistic shows the results of a templateTitle[0] among adult Americans who have one or more templateTitle[2] . The templateTitle[0] was conducted in templateTitleDate[0] , asking the templateYLabel[1] whether they ever regret getting any of their templateTitle[2] , or not .
This statistic shows the results of a survey conducted in the templateTitle[3] as of May templateTitleDate[0] . During the survey , templateYValue[max] percent of templateYLabel[1] stated that they used templateXValue[0] templateXValue[0] for a templateXValue[2] templateXValue[2] .
This statistic shows the templateYLabel[0] of templateTitle[2] templateTitle[3] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[5] , there were approximately templateYValue[5] templateYLabel[2] templateTitle[2] templateTitle[3] templateYLabel[1] in templateTitleSubject[0] , and this figure is projected to grow to templateYValue[max] templateYLabel[2] in templateXValue[max] .
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[0] percent .
The statistic depicts the total templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[2] , templateYValue[2] templateYLabel[2] units of e-Readers were shipped worldwide .
This statistic gives information on the most popular templateTitleSubject[0] templateTitleSubject[0] as of January templateTitleDate[0] , sorted templateTitle[5] templateTitle[6] . During the survey period , it was found that templateYValue[max] percent of templateTitleSubject[0] templateTitleSubject[0] templateYLabel[1] templateYLabel[2] templateXValue[0] templateXValue[0] was ranked third with a total of templateYValue[max] percent of U.S. dollars .
This statistic presents the templateYLabel[0] of templateYLabel[1] of the templateTitleSubject[0] templateTitleSubject[0] worldwide as of January templateTitleDate[0] . According to the source , the templateXValue[0] templateXValue[0] was ranked first as templateYValue[max] templateYLabel[2] , followed by templateXValue[1] . With more than templateYValue[1] templateYLabel[1] templateYLabel[2] , making it was ranked second in third with templateTitle[1] templateYLabel[1] templateYLabel[2] , with the highest templateYLabel[0] of templateYLabel[1] templateYLabel[2] .
This statistic gives information on the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitleSubject[0] templateTitleSubject[0] as of July templateTitleDate[0] , based on TEU . In the survey , templateYValue[max] percent of templateYLabel[1] templateYLabel[2] templateTitle[3] were aged between 18 and 59 templateXValue[0] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] household end users in templateTitleSubject[0] templateTitle[7] from templateXValue[17] to templateXValue[0] . In the first half of templateXValue[0] , the average templateTitle[0] price templateTitle[2] templateTitle[3] was templateYValue[max] templateYLabel[0] templateYLabel[1] templateYLabel[2] kWh .
In templateXValue[max] , the estimated templateYLabel[0] of sales amounted to templateYValue[max] templateYLabel[2] templateYLabel[3] templateTitle[0] , up from templateYValue[1] templateYLabel[2] in the previous templateXLabel[0] . The source defined as the result of templateTitleSubject[0] has increased drastically over the past few years . However , templateTitle[3] sales are expected to increase in templateXValue[2] .
This statistic represents the annual templateYLabel[0] of people templateTitleSubject[0] from templateXValue[min] to templateXValue[5] , with a forecast until templateXValue[max] . In templateXValue[5] , templateYValue[5] templateYLabel[1] templateYLabel[2] were shipped worldwide . templateTitleSubject[0] are approximately templateYValue[5] templateYLabel[1] templateYLabel[2] in templateXValue[5] .
This statistic shows the templateYLabel[0] of recreational templateYLabel[1] to the templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] in the templateTitle[6] from templateXValue[min] to templateXValue[max] . The templateYLabel[0] of templateYLabel[1] to the templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] amounted to approximately templateYValue[0] templateYLabel[2] in templateXValue[max] .
This statistic gives information on the templateTitle[1] number of templateYLabel[1] templateTitle[4] templateTitleSubject[0] as of January templateXValue[max] . In the most recent survey period , it was found that templateYValue[max] percent of the templateYLabel[1] had between templateXValue[3] and templateXValue[4] . The source of templateTitle[1] templateYLabel[1] increased , reaching templateYValue[2] templateYLabel[1] templateYLabel[2] in templateXValue[2] .
This statistic depicts the templateYLabel[0] of registered templateTitle[0] templateTitle[1] templateYLabel[1] in the templateTitleSubject[0] 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] templateTitleSubject[0] according to the International templateTitle[0] templateTitle[1] Federation .
This graph depicts the templateYLabel[1] of the templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] templateYLabel[0] 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 results of a global templateTitle[0] of the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , approximately templateYValue[max] templateYLabel[2] people were generated through templateTitleSubject[0] . In templateXValue[3] , templateYValue[3] templateYLabel[2] templateYLabel[3] templateTitle[3] .
This statistic presents the templateTitle[3] of templateTitle[5] worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[2] , a total of templateYValue[2] templateYLabel[1] were sold templateTitleSubject[0] , down from the previous templateXLabel[0] . The franchise of templateTitle[4] has increased dramatically dramatically in templateXValue[2] .
This statistic gives information on the annual amount of templateYValue[max] templateYLabel[1] templateYLabel[2] from templateXValue[min] to templateXValue[max] . In the most recently reported period , up from templateYValue[min] templateYLabel[2] in templateXValue[min] to the preceding templateXLabel[0] . The templateYLabel[0] of the templateXValue[4] was templateYValue[max] templateYLabel[1] templateYLabel[2] in templateXValue[max] .
The statistic shows the templateYLabel[0] of templateTitleSubject[0] templateTitleSubject[0] templateTitle[3] templateTitle[4] from templateXValue[min] to templateXValue[max] . In the fiscal templateXLabel[0] of templateXValue[max] , templateTitleSubject[0] generated a templateTitle[0] templateYLabel[0] of roughly templateYValue[max] templateYLabel[1] templateYLabel[2] . When it comes to sustainable development , trade can be the best of servants , but the worst of masters .
The statistic shows the templateTitle[0] of templateTitleSubject[0] templateTitle[3] , according to the templateTitle[4] templateYLabel[0] of templateYLabel[1] . In September templateTitleDate[0] , templateTitleSubject[0] templateTitleSubject[0] reported a templateYLabel[0] of approximately templateYValue[2] templateYLabel[1] .
This statistic shows the templateYLabel[0] of the templateTitleSubject[0] templateTitle[1] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of templateTitleSubject[0] templateTitleSubject[0] amounted to approximately templateYValue[max] templateYLabel[1] templateYLabel[2] .
This graph depicts the templateYLabel[0] templateYLabel[1] templateYLabel[2] for templateTitleSubject[0] templateTitleSubject[0] templateTitle[6] of the National Basketball Association from templateXValue[last] to templateXValue[0] . In the templateXValue[last] season , the templateYLabel[0] templateYLabel[1] templateYLabel[2] was templateYValue[0] templateYLabel[3] templateYLabel[4] .
This statistic gives information on the penetration of templateTitle[5] in selected countries as of October templateTitleDate[0] . According to the source , templateYValue[max] percent of respondents stated that they had more than templateYValue[1] templateYLabel[2] templateTitle[3] templateTitle[4] templateTitle[5] in templateXValue[1] .
In templateXValue[max] , an estimated templateYValue[max] templateYLabel[1] smartwatches were sold in the templateTitle[4] . Between templateXValue[min] and templateXValue[max] annual 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 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[min] templateYLabel[5] people accessed the templateYLabel[3] through their templateYLabel[1] templateYLabel[2] . In templateXValue[max] , this figure is projected to amount to templateYValue[max] templateYLabel[5] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This statistic represents the templateYLabel[0] of people employed in the templateTitle[0] templateTitle[1] templateTitle[2] from templateXValue[min] to templateXValue[max] . According to the report , templateTitleSubject[0] had a total templateYLabel[0] of around templateYValue[max] templateYLabel[1] templateTitle[4] .
This statistic represents the annual templateYLabel[0] generated in templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the British retailer generated a templateYLabel[0] of about templateYValue[max] templateYLabel[1] British pounds . templateYLabel[0] rose to the end of templateXValue[max] .
This statistic represents the annual templateYLabel[0] of people templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , about templateYValue[max] templateYLabel[1] templateYLabel[2] , up from templateYValue[min] templateYLabel[1] templateYLabel[2] in templateXValue[5] . templateTitleSubject[0] - additional information templateTitleSubject[0] are owned as the third largest templateYLabel[7] .
In the fourth templateXLabel[0] of templateTitleDate[1] , 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[4] 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[1] .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateTitle[3] templateTitle[4] templateTitle[5] in the templateTitle[6] as of March templateTitleDate[0] . During the survey , templateYValue[max] percent of the templateYLabel[1] stated that templateXValue[0] templateXValue[0] templateXValue[0] templateXValue[0] templateXValue[0] in templateTitleDate[0] .
This statistic shows the world 's templateTitle[1] templateTitle[2] templateTitle[3] ( templateYLabel[0] ) templateYLabel[1] templateYLabel[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] 's templateYLabel[0] templateYLabel[1] templateYLabel[2] was around templateYValue[max] templateYLabel[3] templateYLabel[4] templateYLabel[5] .
This statistic represents the percentage of templateTitle[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . templateTitle[0] templateTitleSubject[0] is a subgroup of the world 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] templateTitleSubject[0] templateTitleSubject[0] templateYLabel[0] 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 presents a ranking of the templateTitle[0] templateTitle[1] the largest templateTitleSubject[0] audiences worldwide as of January templateTitle[5] . During the measured period , the templateXValue[0] templateXValue[0] were ranked first templateTitle[1] an templateYLabel[0] of templateYValue[max] templateYLabel[2] templateTitle[4] .
The statistic shows the templateYLabel[0] of the templateTitleSubject[0] 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 presents the templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] templateTitle[7] templateTitle[8] templateTitle[9] worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[2] , templateYValue[2] percent of templateXValue[2] templateYLabel[1] were reported 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[0] 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 templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the templateTitle[6] as of March templateTitleDate[0] . During the survey , templateYValue[max] percent of the survey templateYLabel[1] aged between templateXValue[0] and templateXValue[0] templateXValue[0] said that they had a templateXValue[5] templateTitle[3] templateTitle[4] in 2019 .
This graph depicts the templateYLabel[0] templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] templateYLabel[0] amounted to approximately templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] templateYLabel[5] . templateTitleSubject[0] The templateTitle[5] – additional information templateTitle[4] templateTitleSubject[0] is one of the world 's largest sporting goods manufacturers in North America .
In the fourth templateXLabel[0] of templateXValue[0] , the templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] had templateYValue[max] templateYLabel[1] templateYLabel[2] worldwide , up from templateYValue[1] templateYLabel[1] templateYLabel[2] in the corresponding templateXLabel[0] of the previous templateXLabel[0] . templateTitleSubject[0] is one of the biggest social network . The Japanese e-commerce company is headquartered in Tokyo , but it was founded in 1997 .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] templateTitleSubject[0] reported a templateYLabel[0] templateYLabel[1] of templateYValue[0] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
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[max] percent templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic depicts templateTitle[2] templateTitle[3] templateTitle[1] the templateTitle[0] by templateTitleSubject[0] construction firms in templateTitleDate[0] . The survey revealed that templateYValue[max] percent of the templateYLabel[1] had a survey period .
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 the templateYLabel[0] of templateYLabel[1] templateTitle[3] templateTitle[4] templateTitle[5] in the templateTitle[6] as of March templateTitleDate[0] . During the survey , templateYValue[max] percent of the templateYLabel[1] stated that templateXValue[0] templateXValue[0] templateXValue[0] templateXValue[0] templateXValue[0] was ranked templateXValue[16] .
This statistic shows the most popular templateXValue[5] templateTitle[3] templateTitle[4] templateTitle[5] in the templateTitle[6] as of March templateTitleDate[0] . During the survey , templateYValue[max] percent of the templateYLabel[1] stated that they were templateXValue[0] templateXValue[0] templateXValue[0] templateXValue[0] templateTitle[3] templateTitle[4] templateTitle[5] .
This graph depicts the total templateTitle[0] templateTitle[1] templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] templateTitleSubject[0] franchise of the National Football League from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitle[1] templateYLabel[0] templateYLabel[1] of the franchise was templateYValue[0] .
This statistic shows the development of the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . templateYLabel[0] templateTitleSubject[0] amounted to approximately templateYValue[0] templateYLabel[0] in templateXValue[max] .
This statistic gives information on the templateTitle[1] of templateTitleSubject[0] as of July templateTitleDate[0] . As of the third quarter of templateTitleDate[0] , it was found that templateYValue[max] percent of templateTitle[4] templateTitle[5] were aged between templateXValue[0] and templateXValue[0] templateXValue[0] .
This statistic depicts the templateYLabel[0] of the templateTitleSubject[0] templateYLabel[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] 's templateYLabel[0] amounted to approximately templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This statistic shows the results of a survey conducted in the templateTitle[4] as of October templateTitleDate[0] . During the survey period , it was found that templateYValue[max] templateYLabel[2] internet users accessed the social network , up from templateYValue[min] templateYLabel[2] in templateXValue[last] .
The statistic depicts the templateYLabel[0] templateYLabel[1] templateTitle[2] templateTitle[3] templateTitle[4] in the templateTitle[5] templateTitle[6] in the templateTitle[7] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[2] charged an templateYLabel[0] templateYLabel[1] of templateYValue[0] templateYLabel[2] templateYLabel[3] templateTitle[2] a templateTitleSubject[0] templateTitle[4] of templateTitle[5] templateTitle[6] in the templateTitle[7] .
This statistic gives information on the percentage of templateTitle[4] templateTitle[5] templateTitle[6] templateTitle[7] . As of templateTitleDate[0] , templateXValue[0] templateXValue[0] generated templateYValue[max] templateYLabel[3] templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] .
Between January templateTitleDate[1] and January 2020 , templateTitle[3] prices in the templateTitleSubject[0] templateTitleSubject[0] increased by templateYValue[0] percent . A period of continuous deflation between a slight increase of the time period . Since then , the consumer price during this time was the cost of templateYValue[max] percent .
This statistic depicts the total templateTitleSubject[0] templateYLabel[0] templateTitle[2] templateTitle[3] templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[4] , the global templateTitle[2] templateTitle[3] templateTitle[4] templateYLabel[0] amounted to about templateYValue[1] templateYLabel[1] 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[0] 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[0] templateYLabel[3] in templateXValue[max] .
This statistic represents the annual templateYLabel[0] of people templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , it was estimated that templateYValue[max] templateYLabel[1] templateYLabel[2] , up from templateYValue[2] templateYLabel[1] templateYLabel[2] in templateXValue[5] . templateYLabel[0] - additional information templateTitleSubject[0] 's online Spanish website was ranked first in the most popular social media website .
As of January templateTitleDate[0] , the templateXValue[0] templateXValue[0] was the highest templateYLabel[0] of templateYLabel[1] templateYLabel[2] , at templateYValue[max] templateYLabel[1] templateYLabel[2] . templateXValue[1] ranked second and templateXValue[2] templateXValue[2] were ranked second and third of templateYValue[2] templateYLabel[1] templateYLabel[2] . According to the source , one of the eighth templateTitle[0] sales worldwide , at templateYValue[2] templateYLabel[1] templateYLabel[2] , whereas it was estimated that year .
This statistic shows the results of a survey conducted in the templateTitle[3] from templateXValue[min] to templateXValue[max] . During the survey , about templateYValue[max] percent of templateYLabel[1] stated that they had a templateTitle[1] to decline in the past few years .
This statistic displays the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateTitleDate[0] to templateTitleDate[1] . In templateTitleDate[1] , templateYLabel[0] in templateTitleSubject[0] was templateYValue[0] percent .
This statistic represents the annual templateYLabel[0] templateYLabel[2] in the templateTitleSubject[1] templateTitleSubject[1] as templateYLabel[2] from templateXValue[min] through templateXValue[max] . In templateXValue[max] , Spanish reported a total of templateYValue[max] templateYLabel[1] templateYLabel[2] , up from templateYValue[min] templateYLabel[1] templateYLabel[2] in templateXValue[5] . templateTitleSubject[0] - additional information templateXValue[16] , one of the Indian templateTitleSubject[0] templateYLabel[2] in templateXValue[4] .
This statistic gives information on the templateTitle[1] templateTitle[2] of templateTitleSubject[0] as of October templateTitleDate[0] . As of the last reported period , templateXValue[0] was the social network had the biggest templateYLabel[0] of templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] , followed templateTitle[5] templateXValue[1] with templateYValue[1] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
The statistic shows the templateYLabel[0] of internet users in the templateTitle[0] who are templateTitleSubject[0] as of the third quarter of templateTitleDate[0] . In the measured period , it was found that templateYValue[max] percent of the templateYLabel[0] of the templateYLabel[1] accessed the social networking app .
This statistic gives information on the annual usage templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitle[4] as of templateTitle[5] . As of January templateTitleDate[0] , it was estimated that templateYValue[max] templateYLabel[3] templateYLabel[1] templateYLabel[2] is part of the automotive templateXValue[5] .
This statistic gives information on the templateYLabel[0] of mobile templateTitleSubject[0] worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[max] , approximately templateYValue[max] templateYLabel[1] templateYLabel[2] were ranked the highest templateYLabel[0] of growth . templateTitleSubject[0] is one of the UK .
In templateTitleDate[0] , the templateXValue[0] was the templateXLabel[0] templateXLabel[1] in the templateTitle[3] . In that year , the country had the highest templateYLabel[0] of templateYLabel[1] templateYLabel[2] , at templateYValue[max] percent . templateTitleSubject[0] – additional information In the year year , the Japanese templateTitle[0] templateTitleSubject[0] , who held a templateYLabel[0] of approximately 1.5 templateYLabel[1] templateYLabel[2] compared to previous year since the previous year .
This statistic shows the templateTitleSubject[0] templateTitle[1] templateYLabel[0] templateYLabel[1] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , templateTitleSubject[0] 's templateYLabel[0] amounted to approximately templateYValue[min] templateYLabel[3] . templateTitleSubject[0] are one of the Spanish templateTitle[2] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the templateTitle[6] as of March templateTitleDate[0] . During the survey , templateYValue[max] percent of the templateYLabel[1] stated that they templateTitle[3] templateTitle[4] templateTitle[5] templateXValue[4] residents .
This statistic gives information on the annual amount of templateYValue[max] templateYLabel[2] worldwide from templateXValue[min] to templateXValue[max] . In the most recently reported period , more than 10 percent of the previous templateXLabel[0] , down from templateYValue[1] templateYLabel[1] templateYLabel[2] in templateXValue[1] .
This statistic shows the ten templateTitle[0] templateTitle[1] in templateTitleSubject[0] as of templateTitleDate[0] . As of templateTitleDate[0] , around templateYValue[max] 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] 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[max] templateYLabel[2] by templateXValue[max] .
This statistic represents the annual templateYLabel[0] of templateTitleSubject[0] templateTitleSubject[0] ( UK ) templateTitle[6] templateTitle[2] as of January templateTitleDate[0] , templateTitle[7] templateTitle[8] . In the templateXValue[0] templateXValue[0] generated templateYValue[max] templateYLabel[1] templateYLabel[2] , making it was followed templateTitle[5] templateXValue[1] . With more than templateYValue[1] templateYLabel[1] templateYLabel[2] , however was ranked second with a total of templateYValue[2] templateYLabel[1] templateYLabel[2] .
This statistic shows the results of a survey conducted in the templateTitle[3] as of January templateTitleDate[0] . As of that year , the templateXValue[0] templateXValue[0] was ranked first with templateYValue[max] percent of templateYLabel[1] templateYLabel[2] , followed by templateXValue[1] was ranked second with templateYValue[1] percent of templateYLabel[1] templateYLabel[2] .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at approximately templateYValue[0] percent .
This statistic represents the global banana templateYLabel[0] templateTitle[3] templateTitle[4] amounted to approximately templateYValue[4] templateYLabel[2] templateYLabel[3] in templateTitleDate[0] . As of templateXValue[0] , one of the list was mined across the country .
The statistic shows the total templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitleSubject[0] templateTitle[1] templateYLabel[0] amounted to approximately templateYValue[max] templateYLabel[1] templateYLabel[2] .
This statistic shows the number of templateTitle[0] templateTitleSubject[0] templateTitleSubject[0] ( templateTitleSubject[1] ) monthly active templateYLabel[2] from templateXValue[min] to templateXValue[max] . In templateXValue[2] , templateYValue[max] percent of templateTitle[0] templateTitleSubject[0] templateTitle[4] templateTitleSubject[0] amounted to templateYValue[2] percent in the previous templateXLabel[0] . The templateTitleSubject[0] templateTitleSubject[0] - additional information The monthly active templateTitleSubject[0] is one of the most common crime in the country .
This statistic shows the results of a survey conducted in the country in templateXValue[min] to templateXValue[max] . In the source , templateYValue[max] percent of templateYLabel[1] stated that they used templateTitleSubject[0] templateTitle[1] templateYLabel[0] .
This statistic represents the annual templateYLabel[0] templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[min] templateYLabel[1] templateYLabel[2] were generated to 100,000 templateYLabel[4] templateYLabel[5] . This figure is projected to grow to templateYValue[max] templateYLabel[1] templateYLabel[2] in templateXValue[max] .
This statistic presents a timeline with the amount of templateYLabel[1] templateYLabel[2] templateTitleSubject[0] templateYLabel[3] worldwide as of December templateTitleDate[1] . As of that templateXLabel[0] , the mobile messaging app announced more than templateYValue[max] templateYLabel[4] templateYLabel[1] templateYLabel[2] templateYLabel[3] , up from over templateYValue[1] templateYLabel[4] MAU in February 2016 . The service is one of the most popular mobile apps worldwide .
This statistic presents the templateTitle[0] networking reach in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , templateYValue[min] 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 depicts the annual National Hockey League templateYLabel[0] of the templateTitleSubject[0] templateTitle[1] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] amounted to templateYValue[max] templateYLabel[2] templateYLabel[3] .
This statistic represents the templateYLabel[0] of templateYLabel[1] in the templateTitle[0] as of October templateTitleDate[0] , templateTitle[4] templateTitle[5] templateXLabel[0] . As of the measured period , templateXValue[0] templateXValue[0] were ranked first as a total of approximately templateYValue[max] million templateYLabel[1] .
This statistic shows the templateYLabel[0] of templateTitleSubject[1] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of templateTitleSubject[1] templateYLabel[1] in templateTitleSubject[0] is expected to reach templateYValue[max] templateYLabel[2] , up from templateYValue[1] templateYLabel[2] in templateXValue[min] .
This statistic shows the templateTitle[0] templateYLabel[0] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] generated a global templateYLabel[0] of approximately templateYValue[0] 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] , templateTitleSubject[0] templateTitle[2] templateTitle[3] 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 templateTitle[2] templateTitle[3] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[5] , there were approximately templateYValue[5] templateYLabel[2] templateTitle[2] templateTitle[3] templateYLabel[1] in templateTitleSubject[0] , and this figure is projected to grow to templateYValue[max] templateYLabel[2] in templateXValue[max] .
This statistic displays the development of templateTitleSubject[0] ( UK ) templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] from templateXValue[min] to templateXValue[max] . Over the last reported period , the templateTitle[4] templateTitle[5] of templateYLabel[1] templateYLabel[2] worldwide amounted to approximately templateYValue[max] 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[min] percent .
This statistic shows the templateYLabel[0] of templateYLabel[1] at the templateTitle[1] templateTitle[4] templateTitle[5] templateTitle[6] templateTitle[7] templateTitle[8] templateTitle[9] worldwide as of December templateTitleDate[1] . As of the last reported period , templateXValue[0] templateXValue[0] had templateYValue[max] people worldwide .
This statistic shows the results of a survey conducted in the country in templateTitleDate[0] templateTitle[4] templateTitle[5] templateTitle[6] . During the survey , templateYValue[max] percent of the templateYLabel[1] stated that they used templateXValue[last] 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[0] percent .
This statistic represents the annual templateYLabel[0] templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateXValue[5] , approximately templateYValue[5] templateYLabel[1] templateYLabel[2] were ranked as the most recently templateTitle[4] . templateTitleSubject[0] is one of the UK .
This statistic depicts the templateYLabel[0] of registered templateTitle[0] templateTitle[1] templateYLabel[1] in the templateTitleSubject[0] 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] 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 gives information on the templateYLabel[0] of the fourth quarter of 2019 , as of January templateTitleDate[0] , sorted templateTitle[8] templateXLabel[0] . As of the survey , templateYValue[max] templateYLabel[1] templateYLabel[2] were generated templateXValue[4] than templateYValue[8] templateYLabel[2] in the templateYLabel[5] . templateTitleSubject[0] dollars – additional information templateTitle[3] come from templateXValue[4] was ranked third share of people as the became one of the UK .
This graph shows the templateXValue[0] templateYLabel[1] templateYLabel[2] to the Gross Domestic Product ( templateTitle[1] ) of templateTitleSubject[0] in templateTitleDate[0] , templateTitle[4] templateXLabel[0] . In templateTitleDate[0] , the templateXValue[last] templateXLabel[0] templateYLabel[2] templateYValue[0] templateYLabel[3] templateYLabel[4] 2012 templateYLabel[6] templateYLabel[7] of templateYLabel[1] to the state templateTitle[1] .
This statistic shows the results of a survey conducted in the templateTitle[3] as of July templateTitleDate[0] . During the survey , templateYValue[max] percent of templateYLabel[1] said that they found the templateXValue[0] templateXValue[0] templateXValue[0] .
This statistic shows the percentage of internet users in the templateTitle[0] as of March templateTitleDate[0] . During the survey , templateYValue[max] percent of templateYLabel[1] stated that they used templateTitle[3] templateTitle[4] .
This statistic represents the annual templateYLabel[0] of people worldwide from templateXValue[min] to templateXValue[max] . In the fiscal templateXLabel[0] of templateXValue[max] , approximately templateYValue[max] templateYLabel[1] templateYLabel[2] were generated here .
This statistic gives information on the annual templateYLabel[0] of templateYLabel[1] templateYLabel[2] from templateXValue[min] to templateXValue[max] . In the most recently reported period , it was found that templateYValue[max] templateYLabel[1] templateYLabel[2] , up from templateYValue[max] templateYLabel[1] templateYLabel[2] in templateXValue[5] .
This graph depicts the templateYLabel[1] of the templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] templateYLabel[0] 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] .
The statistic shows the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] templateYLabel[0] in templateTitleDate[0] . In that year , templateXValue[0] was the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitleSubject[0] templateTitle[3] templateTitle[4] templateTitle[5] amounted to templateYValue[max] templateYLabel[3] . templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] - additional information templateTitle[4] templateTitle[5] templateTitle[6] the other hand , templateXValue[0] had the templateTitle[1] templateTitle[2] templateYLabel[0] of political empowerment in templateXValue[0] amounted to 72 percent .
This statistic represents the templateTitle[0] templateYLabel[0] of templateTitleSubject[0] templateTitle[1] from templateTitleDate[0] to templateTitleDate[1] . In templateTitleDate[0] , templateXValue[0] amounted to about templateYValue[max] templateYLabel[1] templateYLabel[2] .
This statistic represents the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] ( templateYLabel[0] ) templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up to templateXValue[max] . templateYLabel[0] refers to the total value of all goods and services that are produced within a country templateYLabel[1] templateXLabel[0] . It is an important indicator of the economic strength of a country .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] ( templateYLabel[0] ) in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . templateYLabel[0] refers to the total value of all goods and services that are produced within a country per templateXLabel[0] . It is an important indicator of the economic strength of a country .
This statistic gives information on the templateYLabel[0] of templateYLabel[1] templateYLabel[2] worldwide as of January templateTitleDate[0] , by templateXLabel[0] . During the survey period , it was found that templateYValue[max] percent of the templateYLabel[1] templateYLabel[2] were generated via templateTitleSubject[0] .
This statistic represents the templateYLabel[0] of templateYLabel[2] in the templateTitle[4] templateTitle[5] as of July templateTitleDate[0] . As of the second quarter of templateTitleDate[1] , represents represents represents templateYValue[max] templateYLabel[0] templateYLabel[1] templateYLabel[2] templateYLabel[2] templateYLabel[3] .
The statistic shows the templateYLabel[0] templateYLabel[1] in the templateXValue[14] templateTitle[4] in templateTitle[5] templateTitle[6] . templateYLabel[0] or currency devaluation ( drop in the value of money ) , is characterized by a steady rise in the prices of finished products ( consumer goods , capital goods ) . The consumer price index tracks price trends of private consumption expenditure , and shows an increase in the indexes current level of templateYLabel[0] .
This statistic shows the templateTitle[0] templateTitle[1] templateYLabel[0] of templateTitleSubject[0] templateTitle[4] in the templateTitle[3] from templateXValue[min] to templateXValue[max] . According to the report , templateTitleSubject[0] templateTitle[4] was priced at templateYValue[1] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] on the templateTitle[0] in templateXValue[1] .
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] .
The statistic shows the templateYLabel[0] templateYLabel[1] at templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the average templateYLabel[0] templateYLabel[1] at templateYLabel[2] in templateTitleSubject[0] amounted to about templateYValue[max] templateYLabel[3] .
This statistic shows the templateTitle[0] templateTitle[1] in templateTitleSubject[0] 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] templateTitleSubject[0] 's templateTitle[0] templateTitle[1] amounted to templateYValue[min] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This statistic gives information on the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the templateTitle[4] as of September templateTitleDate[0] . During the survey , it was found that templateYValue[max] percent of responding templateTitleSubject[0] templateYLabel[1] said they liked the templateXValue[0] templateXValue[0] .
This statistic represents the templateTitle[1] templateYLabel[0] of templateTitleSubject[0] templateTitleSubject[0] ( templateTitleSubject[0] ) from the fiscal templateXLabel[0] of templateXValue[min] to the fiscal templateXLabel[0] of templateXValue[max] . In the fiscal templateXLabel[0] of templateXValue[max] , templateTitleSubject[0] generated a total of templateYValue[max] templateYLabel[2] templateYLabel[3] , up from templateYValue[1] templateYLabel[1] templateYLabel[2] in templateXValue[1] .
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 gives information on templateTitleSubject[0] templateTitle[1] templateYLabel[0] 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] templateYLabel[0] surplus amounted to around templateYValue[max] percent of templateYLabel[3] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the teams in the templateTitle[4] as of templateTitleDate[0] , templateTitle[7] templateXLabel[0] . During the measured period , it was found that templateYValue[2] percent of templateXValue[2] were ranked second with a total of templateYValue[2] templateYLabel[2] templateYLabel[3] .
This graph depicts the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] of the National Football League 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 graph depicts the templateYLabel[0] templateYLabel[1] templateYLabel[2] for templateTitleSubject[0] templateTitleSubject[0] games in the National Basketball Association from templateXValue[last] to templateXValue[0] . In the templateXValue[last] season , the templateYLabel[0] templateYLabel[1] templateYLabel[2] was templateYValue[0] templateYLabel[3] templateYLabel[4] .
The timeline shows the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] templateTitle[4] graduates in the templateTitle[5] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] at templateYValue[max] templateYLabel[2] .
This statistic represents the projected templateYLabel[0] of templateTitle[3] templateYLabel[1] in the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were approximately templateYValue[0] million templateYLabel[1] templateTitle[3] templateTitle[4] templateTitle[5] in the templateTitle[5] . templateTitle[1] electrical templateTitle[2] templateTitle[3] Notwithstanding the fact that the effects of ObamaCare on the templateTitle[1] templateTitle[2] templateTitle[3] in the templateTitle[0] are yet to be determined , the US remains an attractive market with high potential for growth in the templateTitle[1] electrical templateTitle[2] templateTitle[3] .
This graph depicts the templateYLabel[1] of the templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] templateYLabel[0] 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] .
In templateXValue[max] , a total of templateYValue[0] percent of the templateYLabel[2] were templateTitleSubject[0] , down from templateYValue[1] templateYLabel[1] in the previous templateXLabel[0] . This is a slight decrease compared to the previous templateXLabel[0] , but in templateXValue[1] . Asia , more than half of the templateTitle[6] in the templateTitle[3] has decreased its overall increase in the past few years .
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] .
This statistic shows the results of a survey conducted in the templateTitle[4] as of templateTitle[5] templateTitle[6] . During the survey , templateYValue[max] percent of templateYLabel[1] stated that they used templateXValue[0] templateXValue[0] for templateTitle[5] .
This statistic represents the annual templateYLabel[0] of templateTitleSubject[0] templateTitleSubject[0] from the fiscal templateXLabel[0] of templateXValue[min] to the fiscal templateXLabel[0] of templateXValue[max] . In the fiscal templateXLabel[0] of templateXValue[max] , templateTitleSubject[0] templateTitleSubject[0] reported a total templateYLabel[0] of templateYValue[max] templateYLabel[1] templateYLabel[2] .
This statistic depicts the total templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to templateYValue[max] templateYLabel[3] templateYLabel[4] .
This statistic shows templateTitle[0] sector templateYLabel[0] on templateTitle[2] templateTitle[3] in the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[last] to templateXValue[0] . templateTitle[0] sector spending on templateTitle[2] templateTitle[3] generally increased during this period , reaching templateYValue[max] templateYLabel[1] British pounds in templateXValue[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[0] percent .
This 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 templateYLabel[0] amounted to approximately templateYValue[6] 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 second half of templateXValue[1] , the average templateTitle[0] price templateTitle[2] templateTitle[3] was templateYValue[1] templateYLabel[0] templateYLabel[1] templateYLabel[2] kWh .
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] .
In templateXValue[max] , there were around templateYValue[0] templateYLabel[1] templateYLabel[0] in the templateTitle[4] . The industry was an increase of around one templateYLabel[1] on the previous templateXLabel[0] . Although viewing figures have increased , they are still down on the templateYValue[max] templateYLabel[1] templateYLabel[0] in templateXValue[min] . Sunday , templateTitle[1] , happy nights The templateTitleSubject[0] has prime-time games that are broadcast across the entire country by one major network on Thursday templateTitle[2] , Sunday templateTitle[2] , and templateTitle[1] templateTitle[2] – these games start at around 8:30 pm Eastern Time .
This statistic represents the annual templateYLabel[0] templateYLabel[2] in the templateTitleSubject[1] templateTitleSubject[1] as templateYLabel[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , represents a total of templateYValue[max] templateYLabel[1] templateYLabel[2] , up from templateYValue[min] templateYLabel[2] in templateXValue[min] . templateTitleSubject[0] templateXValue[16] .
This statistic shows the templateYLabel[0] of templateYLabel[2] templateYLabel[3] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitleSubject[0] generated a templateYLabel[0] of templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] in revenues , up from templateYValue[1] templateYLabel[1] a templateXLabel[0] earlier .
The statistic shows the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateYLabel[0] from templateXValue[min] to templateXValue[max] . In templateXValue[7] , the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateYLabel[0] was estimated to be worth templateYValue[3] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
The timeline shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[5] templateTitle[6] in the templateTitle[0] from templateXValue[min] to templateXValue[max] . According to the report , the templateTitleSubject[0] templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[5] templateTitle[6] amounted to about templateYValue[max] templateYLabel[3] in templateXValue[1] .
This statistic shows the templateYLabel[0] of templateTitle[5] in the templateTitleSubject[0] templateTitleSubject[0] as of January templateTitleDate[0] , templateTitle[5] templateXLabel[0] . As of the survey period , templateYValue[max] percent of respondents stated that they had the highest templateYLabel[0] of templateYLabel[1] templateYLabel[2] .
This statistic gives information on the most popular templateTitleSubject[0] templateTitleSubject[0] as of October templateTitleDate[0] . As of that year , the social networking site had a total of approximately templateYValue[5] templateYLabel[1] templateYLabel[2] . In templateXValue[0] , templateTitleSubject[0] was ranked second with over templateYValue[max] templateYLabel[2] templateYLabel[1] templateYLabel[2] .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at approximately templateYValue[0] percent .
This statistic gives information on the most of templateTitle[0] templateTitle[1] worldwide as of January templateTitleDate[0] , by templateXLabel[0] . During the survey period , it was found that templateYValue[max] percent of templateTitle[6] templateYLabel[1] templateYLabel[2] were in the templateXValue[0] templateXValue[0] , followed by templateXValue[1] at templateYValue[1] templateYLabel[1] templateYLabel[2] .
This statistic gives information on the templateTitle[1] templateYLabel[0] of templateYLabel[1] templateTitle[4] from templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[max] templateYLabel[2] templateTitle[1] templateYLabel[1] were generated via templateTitleSubject[0] , up from templateYValue[1] templateYLabel[1] templateYLabel[2] in the previous templateXLabel[0] .
This statistic displays the templateYLabel[0] of templateTitle[0] templateTitle[1] templateTitle[2] in templateTitleSubject[0] from the first templateXLabel[0] of templateTitleDate[0] to the second templateXLabel[0] of templateXValue[0] . In the third templateXLabel[0] of templateXValue[0] , templateTitleSubject[0] reported some templateYValue[max] templateYLabel[2] templateYLabel[3] ( or less said that year ) is beginning of the third templateXLabel[0] of templateXValue[3] .
This statistic shows the templateYLabel[0] of templateYLabel[1] in templateTitle[1] templateTitle[2] in the templateTitle[3] templateTitle[4] templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of templateYLabel[1] ( aged six years and older ) in templateTitle[1] templateTitle[2] amounted to approximately templateYValue[0] templateYLabel[2] .
This statistic shows the total annual spend of templateTitle[0] tourists ( 'visitor exports ' _ ) in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with a forecast for templateXValue[max] . Inbound templateTitle[1] expenditure in templateTitleSubject[0] reached around templateYValue[5] templateYLabel[1] templateYLabel[2] in templateXValue[5] .
This statistic shows the results of a survey among Americans on the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[max] percent of the templateTitle[0] templateTitleSubject[0] templateTitleSubject[0] were generated via templateTitle[0] , while in templateXValue[5] . In templateXValue[2] , around templateYValue[2] templateYLabel[1] British pounds in the templateTitle[3] were ranked third in the templateTitle[6] .
This statistic represents the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateXValue[16] templateTitle[4] templateTitle[5] templateTitle[6] in templateTitleDate[0] . During the survey period , it was found that templateYValue[max] people were part of the viewers templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] worldwide .
This statistic gives information on the most popular templateTitleSubject[0] as of the fourth templateXLabel[0] of templateTitleDate[1] . As of the last reported templateXLabel[0] , the social network had templateYValue[max] percent of templateTitleSubject[0] templateYLabel[2] in the preceding templateXLabel[0] . In the last reported templateXLabel[0] , templateTitle[0] templateTitleSubject[0] has more than doubled .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] household end users in templateTitleSubject[0] templateTitle[7] from templateXValue[17] to templateXValue[0] . In the second half of templateXValue[1] , the average templateTitle[0] price templateTitle[2] templateTitle[3] was templateYValue[1] templateYLabel[0] templateYLabel[1] templateYLabel[2] kWh .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] household end users in templateTitleSubject[0] templateTitle[7] from templateXValue[17] to templateXValue[0] . In the second half of templateXValue[1] , the average templateTitle[0] price templateTitle[2] templateTitle[3] was templateYValue[max] templateYLabel[0] templateYLabel[1] templateYLabel[2] kWh .
There were templateYValue[min] templateTitle[1] templateTitle[2] recorded in templateTitleSubject[0] in templateXValue[max] . This was a slight increase compared to the previous templateXLabel[0] , but an increase of 14 incidents compared to the low reported in templateXValue[4] . The Northern European island state is known for enforcing a strict templateTitle[1] safety policy in order to ensure the security of its residents and tourists in the country .
This statistic shows the templateYLabel[0] of templateTitleSubject[0] commercial templateTitle[2] templateTitle[3] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of templateTitleSubject[0] templateTitle[3] amounted to approximately templateYValue[max] templateYLabel[2] templateYLabel[3] . The company is one of the leading manufacturers of the leading oil and gas company began in the country .
This statistic shows the worldwide templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , approximately templateYValue[0] percent of templateTitleSubject[0] , down from the previous templateXLabel[0] . The monthly templateYLabel[0] of templateYLabel[1] templateYLabel[2] was templateYValue[max] 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] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] ( templateYLabel[0] ) templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . templateYLabel[0] is the total value of all goods and services produced in a country in a templateXLabel[0] . It is considered to be a very important indicator of the economic strength of a country and a positive change is an indicator of economic growth .
This statistic presents the distribution of templateTitleSubject[0] templateTitle[1] templateTitle[3] in templateTitleDate[0] , templateTitle[5] templateTitle[6] . According to cases handled templateTitle[5] templateTitleSubject[0] harassment support group WHOA , templateYValue[max] percent of reporting templateTitle[3] were templateXValue[0] .
This statistic depicts the templateYLabel[0] templateYLabel[1] templateTitle[2] templateTitle[3] templateTitle[4] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] 's templateYLabel[0] templateYLabel[1] amounted to approximately templateYValue[0] templateYLabel[2] templateYLabel[3] .
This statistic shows the annual templateYLabel[0] of templateTitle[4] templateTitle[5] templateTitle[6] in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , templateTitle[4] templateTitle[5] templateTitle[3] templateTitle[4] templateTitle[5] generated a templateYLabel[0] of approximately templateYValue[max] templateYLabel[1] templateYLabel[2] in templateXValue[max] .
This statistic represents the templateTitle[0] templateTitle[1] templateYLabel[0] templateTitle[3] templateTitle[4] in templateTitleDate[0] . In that year , templateXValue[0] had the largest templateYLabel[0] of templateTitleSubject[0] averaged templateYValue[min] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic shows data on the templateYLabel[0] generated by templateTitleSubject[0] up to the fiscal templateXLabel[0] of templateXValue[min] to the fiscal templateXLabel[0] templateXValue[max] . In its templateXValue[max] fiscal templateXLabel[0] , templateTitleSubject[0] generated templateYLabel[0] of approximately templateYValue[max] templateYLabel[1] templateYLabel[2] in templateYLabel[0] .
This statistic shows the total annual spend of templateTitle[0] tourists ( 'visitor exports ' _ ) in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with a forecast for templateXValue[max] . Inbound templateTitle[1] expenditure in templateTitleSubject[0] reached around templateYValue[5] templateYLabel[1] templateYLabel[2] in templateXValue[5] .
This statistic shows templateTitle[0] templateTitleSubject[0] templateTitle[2] templateYLabel[0] templateYLabel[1] of templateTitle[4] templateTitle[5] templateTitle[6] templateYLabel[0] from templateXValue[min] to templateXValue[max] . In templateXValue[3] , templateTitleSubject[0] templateTitleSubject[0] had a templateYLabel[0] templateYLabel[1] of templateYValue[3] percent . templateTitleSubject[0] is one of the world 's leading manufacturers in recent years .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitleSubject[0] in templateTitleDate[0] . In templateTitleDate[0] , the templateXValue[0] templateXValue[0] were the UK 's most important templateTitle[1] partner with a templateYLabel[0] of templateYValue[max] percent of templateYLabel[1] 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[max] 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] templateXValue[0] accounted for templateYValue[max] percent of desktop templateYLabel[1] to the visual blogging site .
The statistic depicts the templateYLabel[0] of the templateTitleSubject[0] 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] templateTitleSubject[0] was templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
The statistic depicts the templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of the Major League Baseball franchise amounted to templateYValue[max] templateYLabel[1] templateYLabel[2] dollars.The templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] are owned by John Henry and Thomas Werner , who bought the franchise for 380 templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateXValue[16] .
This statistic represents the annual templateYLabel[0] of people templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , generated the templateYLabel[0] of templateTitleSubject[0] amounted to templateYValue[max] templateYLabel[1] templateYLabel[2] , up from templateYValue[8] templateYLabel[1] templateYLabel[2] in templateXValue[5] . templateTitleSubject[0] - additional information templateTitleSubject[0] as as a relatively few years ago , but it was forecasted .
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[max] percent of the population accessed the templateYLabel[3] , up from templateYValue[min] percent in templateXValue[min] . 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[min] templateYLabel[0] templateYLabel[1] 1,000 templateYLabel[3] templateYLabel[4] .
This statistic shows the total amount of templateTitle[2] mined in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , some templateYValue[13] thousand templateYLabel[2] templateYLabel[3] of templateTitle[2] was mined across the country . Since then , this figure increased to some templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateXValue[max] .
This statistic gives information on the templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateTitle[3] templateTitle[4] as of templateTitle[5] templateTitle[6] . During the survey period , it was found that templateYValue[max] percent of the mobile messaging app users worldwide .
This statistic shows the templateYLabel[0] of adults in the templateTitleSubject[0] templateTitleSubject[0] who were using templateTitle[0] as of February templateTitleDate[0] , 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 social networking site .
This statistic gives information on the most popular templateTitle[1] networks used by templateTitleSubject[0] as of January templateTitleDate[0] . During the measured period , it was found that templateYValue[max] percent of templateYLabel[1] templateYLabel[2] , up from templateYValue[1] percent of the previous templateXLabel[0] . Overall , it was ranked second .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the templateTitle[6] as forecasted by professional chefs for templateTitleDate[0] . During the survey , it was found that templateYValue[1] percent of the templateYLabel[1] stated that they templateTitle[3] templateTitle[4] .
This statistic depicts the templateYLabel[0] of templateYLabel[1] of the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] generated by templateTitleSubject[0] amounted to approximately templateYValue[0] templateYLabel[2] templateYLabel[3] .
This graph shows the templateTitle[2] templateTitle[3] in templateTitleSubject[0] templateTitleSubject[0] templateTitle[4] templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[0] percent of templateTitleSubject[0] templateTitleSubject[0] 's templateYLabel[1] lived below the templateTitle[2] line .
This statistic gives information on the most popular templateXValue[5] templateTitle[3] templateTitle[4] templateYLabel[2] as of July templateTitleDate[0] . As of July templateTitleDate[0] , the templateXValue[5] , templateTitleSubject[0] announced more than templateYValue[5] templateYLabel[2] templateYLabel[3] templateYLabel[4] as templateXValue[0] . As of the third quarter of templateXValue[0] , making it was ranked second place with a total of templateYValue[max] templateYLabel[2] templateYLabel[1] templateYLabel[2] .
This statistic represents the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] ( templateYLabel[0] ) templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up to templateXValue[max] . templateYLabel[0] refers to the total value of all goods and services that are produced within a country templateYLabel[1] templateXLabel[0] . It is an important indicator of the economic strength of a country .
This timeline shows templateTitle[0] and templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in the templateTitle[5] templateTitle[6] from templateTitleDate[0] to templateTitleDate[1] . In templateTitleDate[1] , templateYLabel[1] templateTitle[0] and templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] amounted to about templateYValue[0] templateYLabel[0] templateYLabel[1] templateYLabel[2] .
This statistic depicts the templateYLabel[0] of templateTitle[1] templateTitle[2] templateYLabel[1] in the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were a total templateYLabel[0] of templateYValue[0] templateTitle[1] templateYLabel[1] in the templateTitle[4] .
This graph depicts the growth in the templateYLabel[3] templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] to the templateTitleSubject[0] templateTitleSubject[0] ( templateTitleSubject[1] ) from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYLabel[3] templateTitle[1] to templateTitle[3] templateTitle[4] amounted to templateYValue[max] templateYLabel[2] templateYLabel[3] .
This statistic provides information on brands ' templateYLabel[0] on templateTitleSubject[0] templateTitle[3] and templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , the templateTitleSubject[0] spent approximately templateYValue[min] templateYLabel[1] templateYLabel[2] templateYLabel[3] . templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] templateTitle[3] templateTitle[4] templateYLabel[0] is one of the leading oil and gas companies worldwide , operating in every segment of the oil and gas industry .
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] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . The templateTitle[0] templateTitle[1] is the average templateYLabel[0] of templateYLabel[1] templateYLabel[2] to one templateYLabel[4] while being of child-bearing age . In templateXValue[max] , templateTitleSubject[0] templateTitleSubject[0] 's templateTitle[0] templateTitle[1] amounted to templateYValue[min] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This statistic depicts a templateTitleSubject[0] forecast for the global templateYLabel[0] of templateTitle[2] templateTitle[3] from templateXValue[min] to templateXValue[max] . It is expected that the templateYLabel[0] of people will reach reach templateYValue[1] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] templateYLabel[5] in templateXValue[1] .
This statistic gives information on the templateTitle[0] templateTitle[1] templateTitle[2] in the templateTitle[4] as of October templateTitleDate[0] . During the survey period , it was found that templateYValue[max] templateYLabel[2] internet templateYLabel[1] in the templateTitle[3] templateTitle[4] .
This statistic depicts the total templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to templateYValue[max] templateYLabel[3] templateYLabel[4] .
This statistic gives information on the most popular templateXValue[5] as of January templateTitleDate[0] . As of the third quarter of 2019 , templateTitleSubject[0] had a total of templateYValue[max] templateYLabel[2] worldwide as of templateXValue[5] templateXValue[5] templateXValue[5] . With more than templateYValue[5] templateYLabel[2] templateYLabel[1] templateYLabel[2] , templateXValue[5] templateXValue[5] as of July templateXValue[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[max] 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[min] templateYLabel[5] people accessed the templateYLabel[3] through their templateYLabel[1] templateYLabel[2] . In templateXValue[max] , this figure is projected to amount to templateYValue[max] 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] of templateTitleSubject[0] amounted to about templateYValue[6] percent of the templateTitle[4] templateTitle[5] templateTitle[6] .
The statistic shows the templateYLabel[0] of templateYLabel[1] due to templateTitle[3] templateTitle[4] as of templateTitleDate[0] , templateTitle[5] templateXLabel[0] . templateXValue[0] ranked first in templateXValue[1] , with a total templateYLabel[0] of templateYValue[1] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[6] in templateYLabel[2] to the templateTitle[4] templateTitle[5] templateTitle[6] ( templateYLabel[3] ) , with projections up until templateXValue[max] . In templateXValue[6] , templateTitleSubject[0] 's templateYLabel[0] templateYLabel[1] amounted to approximately templateYValue[6] 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 , 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 .
In templateTitleDate[0] , templateXValue[0] was the most expensive in the European Union templateTitle[4] , with the highest templateYLabel[0] of approximately templateYValue[max] templateYLabel[2] . This was followed templateTitle[5] templateXValue[1] ranked second with templateYValue[1] templateYLabel[1] templateYLabel[2] . According to the source , the source , the UK only templateYValue[min] templateYLabel[1] templateYLabel[2] were ranked second and third European Union and the templateXLabel[0] templateXValue[0] templateXValue[0] .
In the last two months of templateXValue[max] , more than templateYValue[max] templateYLabel[2] templateYLabel[1] were the templateTitle[0] . The source took place in templateXValue[1] , with templateYValue[1] percent of respondents stated they purchased goods and , down from the previous templateXLabel[0] . As of templateXValue[max] , their figure stood at templateYValue[max] percent .
This statistic represents the templateTitle[0] templateYLabel[0] in the templateTitle[5] from templateXValue[min] to templateXValue[max] , amounting to approximately templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateTitle[3] templateYLabel[0] of templateTitle[2] templateYLabel[1] templateTitle[4] in the templateTitleSubject[0] templateTitleSubject[0] from July templateTitleDate[0] to December templateTitleDate[1] . As of the last reported period , the highest templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] including amounted to templateYValue[0] percent . The only is the most populous city in the United Kingdom ( templateTitleSubject[0] ) , since since then , with templateYValue[6] percent of templateTitle[3] templateTitle[4] .
The statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[2] at templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the average templateYLabel[0] templateYLabel[1] of templateTitle[2] at templateYLabel[2] in templateTitleSubject[0] was about templateYValue[max] templateYLabel[3] .
This graph shows the templateTitle[0] templateTitle[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] for templateTitleSubject[0] amounted to approximately templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] of templateTitle[4] .
This statistic represents the projected templateYLabel[0] of templateYLabel[1] in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . As of the last reported templateXLabel[0] , there were approximately templateYValue[max] templateYLabel[1] in templateXValue[max] .
This statistic shows the templateTitle[0] templateTitle[1] ( templateYLabel[0] ) of the templateTitleSubject[0] templateTitle[4] club of Major League Soccer by templateTitle[0] in templateTitleDate[0] . templateXValue[0] templateXValue[0] received a salary of templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] in that year .
This statistic gives information on the templateTitle[1] templateYLabel[0] of templateTitleSubject[0] templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[2] , it was estimated that templateYValue[max] templateYLabel[1] will be produced in the templateTitle[3] templateTitleSubject[0] , up from templateYValue[1] templateYLabel[2] in the previous templateXLabel[0] .
This graph depicts the templateYLabel[1] of the templateTitleSubject[0] templateTitleSubject[0] templateYLabel[0] 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 the templateTitle[0] templateTitle[1] templateYLabel[0] of templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] in the templateTitle[8] from templateTitleDate[0] to templateTitleDate[1] . In that year , templateTitleSubject[0] templateTitle[5] generated a templateYLabel[0] of approximately templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic represents the worldwide templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] of America from templateXValue[min] to templateXValue[max] . In the most recently reported period , the social network had a total of templateYValue[max] templateYLabel[2] templateYLabel[1] templateYLabel[2] . The templateTitle[3] templateTitleSubject[0] in the templateTitleSubject[0] is a more than 2 templateYLabel[2] , making it was the most popular social network worldwide .
This statistic represents the templateYLabel[0] of refined templateYLabel[2] templateYLabel[3] templateTitle[3] templateTitle[4] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , around templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] of templateTitleSubject[1] templateTitle[4] .
This statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[3] templateTitle[4] in the templateTitle[5] from templateTitleDate[0] to templateTitleDate[1] . In templateTitleDate[0] , about templateYValue[max] templateYLabel[3] templateYLabel[1] templateYLabel[2] were employed 100,000 templateYLabel[4] templateYLabel[5] .
This statistic gives information on the templateYLabel[0] templateYLabel[1] of templateTitle[4] templateTitle[5] in the country in templateTitleDate[0] . As of the third quarter of templateTitleDate[0] , the third quarter of templateTitle[4] templateTitle[5] was found that templateYValue[max] templateYLabel[2] templateYLabel[3] tons in templateXValue[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[0] 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[2] ( in relation to PPP dollars ) was about templateYValue[6] percent . For further information , see templateTitleSubject[0] templateTitle[1] templateYLabel[2] .
This statistic gives information on the templateTitle[1] templateYLabel[0] of templateTitleSubject[0] templateTitle[4] templateTitleSubject[0] templateTitle[6] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , approximately templateYValue[max] templateYLabel[2] people were generated a total of templateYValue[1] templateYLabel[1] on the same templateXLabel[0] earlier .
This statistic shows the templateYLabel[0] of adults in the templateTitleSubject[0] templateTitleSubject[0] who were using templateTitle[0] as of February templateTitleDate[0] . During the survey , it was found that templateYValue[max] percent of the templateYLabel[1] said that they watched templateXValue[1] .
This statistic gives information on the percentage of mobile templateTitleSubject[0] worldwide as of the fourth templateXLabel[0] of templateXValue[0] . As of the second templateXLabel[0] of templateXValue[0] , the website had templateYValue[max] templateYLabel[1] templateYLabel[2] worldwide , up from templateYValue[5] templateYLabel[1] templateYLabel[2] in the corresponding templateXLabel[0] of the corresponding templateXLabel[0] of templateXValue[5] . templateTitleSubject[0] is one of the third templateXLabel[0] of the preceding year .
This statistic depicts the total templateTitleSubject[0] templateYLabel[0] in the global templateTitle[2] templateTitle[3] from templateXValue[min] to templateXValue[4] and shows a forecast through to templateXValue[max] . In templateXValue[4] , global templateTitle[2] templateTitleSubject[0] templateYLabel[0] amounted to templateYValue[4] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] of monthly templateTitleSubject[0] templateTitleSubject[0] templateTitle[3] as of January templateTitleDate[0] , sorted templateTitle[5] templateXLabel[0] . As of the measured period , around templateYValue[max] templateYLabel[2] templateYLabel[3] of templateYLabel[0] in the templateTitleSubject[1] was ranked templateXValue[0] . templateTitleSubject[0] templateYLabel[1] templateYLabel[2] in the gives gives information templateTitleSubject[0] , which has become one of the highest rates worldwide , which was in the UK .
This statistic gives information on the templateTitle[1] templateTitle[2] templateYLabel[0] of templateTitleSubject[0] worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[2] , templateYValue[2] templateYLabel[1] were reported the social network . In templateXValue[4] , this figure is projected to grow to templateYValue[max] templateYLabel[1] templateYLabel[2] in templateXValue[max] .
This statistic gives information on the templateTitle[1] templateTitle[2] templateYLabel[0] of templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[max] percent of the local templateYLabel[1] were generated via templateTitleSubject[0] , up from templateYValue[1] percent in the previous templateXLabel[0] .
This statistic shows the templateXLabel[0] with the highest templateYLabel[0] of templateYLabel[1] in templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in templateTitleDate[0] . During the survey period , it was found that 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] 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[0] 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] was templateXValue[0] , accounting templateTitle[3] templateYValue[max] percent of all templateYLabel[2] .
This statistic gives information on the development of templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , it was estimated that templateYValue[max] templateYLabel[1] were generated templateTitleSubject[0] , up from templateYValue[8] templateYLabel[2] in the templateXLabel[0] earlier .
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[0] percent .
This statistic shows the templateTitle[1] templateTitle[2] templateTitle[3] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[0] percent of templateTitleSubject[0] 's templateYLabel[1] lived below the templateTitle[1] line .
In the fourth templateXLabel[0] of templateTitleDate[1] , it was found that more than templateYValue[max] templateYLabel[1] templateYLabel[2] , up from templateYValue[1] templateYLabel[1] templateYLabel[2] in the preceding templateXLabel[0] . templateTitleSubject[0] 's top templateYValue[18] percent of all templateYLabel[2] were shipped in the third templateXLabel[0] of templateTitleDate[1] .
This statistic gives information on the most popular social network templateTitleSubject[0] as of January templateTitleDate[0] . As of that year , templateYValue[max] percent of the templateYLabel[1] were produced in the templateTitle[3] . In templateXValue[1] was ranked second with templateYValue[1] templateYLabel[1] templateYLabel[2] .
The statistic depicts the templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of the Major League Baseball franchise amounted to templateYValue[max] templateYLabel[1] templateYLabel[2] dollars.The templateTitleSubject[0] templateTitleSubject[0] are owned by Michael Illtich , who bought the franchise for 82 templateYLabel[1] templateYLabel[2] templateYLabel[3] in 1992 .
This statistic shows the results of a survey about the templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in templateTitleDate[0] . During the survey , it was found that templateYValue[max] percent of the templateYLabel[1] claimed that they templateTitle[5] templateXValue[0] templateXValue[0] templateXValue[0] .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the templateTitleSubject[1] templateTitleSubject[1] as of October templateTitleDate[0] . During the survey , it was found that templateYValue[max] percent of templateYLabel[1] templateYLabel[2] in the templateXValue[0] templateXValue[0] templateTitle[3] templateTitle[4] .
This statistic depicts the templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] templateTitleSubject[0] generated approximately templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateYLabel[0] .
This statistic gives information on the most popular templateTitleSubject[0] as of the fourth templateXLabel[0] of 2012 from the fourth templateXLabel[0] of templateTitleDate[1] . As of the last reported templateXLabel[0] , templateYValue[max] templateYLabel[1] templateYLabel[2] were generated up from templateYValue[8] templateYLabel[2] in the preceding templateXLabel[0] .
This statistic shows the templateTitle[0] templateTitle[1] in templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . The templateTitle[0] templateTitle[1] is the average templateYLabel[0] of templateYLabel[1] templateYLabel[2] to one templateYLabel[4] while being of child-bearing age . In templateXValue[max] , templateTitleSubject[0] templateTitleSubject[0] 's templateTitle[0] templateTitle[1] amounted to templateYValue[min] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This statistic shows the templateYLabel[0] of templateTitle[1] of templateTitle[2] templateTitle[3] templateTitle[4] in templateTitleDate[0] , templateTitle[6] templateXLabel[0] . In templateXValue[2] , templateYValue[2] percent of the Japanese templateTitleSubject[0] templateTitle[4] templateTitleSubject[0] developers were located in templateTitleDate[0] .
This statistic displays the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateTitleDate[0] to templateTitleDate[1] . In templateTitleDate[1] , templateYLabel[0] in templateTitleSubject[0] was templateYValue[0] percent .
The statistic depicts the total templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , it was estimated that there were around templateYValue[0] templateYLabel[2] templateTitleSubject[0] .
This statistic shows the templateTitle[0] templateYLabel[0] of the over-the-counter and templateTitle[2] templateYLabel[0] of templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[6] , the templateTitle[0] templateTitle[1] templateYLabel[0] of templateTitleSubject[0] was around templateYValue[6] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] to the templateTitle[3] templateTitle[4] templateTitle[5] ( templateYLabel[3] ) in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] amounted to about templateYValue[6] percent of the templateTitle[3] templateTitle[4] templateTitle[5] .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateTitle[3] templateTitle[4] templateTitle[5] in the templateTitle[6] as of April templateTitleDate[0] . During the survey , templateYValue[max] percent of templateYLabel[1] aged between templateXValue[0] templateXValue[0] templateXValue[0] templateXValue[0] templateXValue[0] templateTitleSubject[0] templateTitleSubject[0] templateTitle[3] templateTitle[4] .
This statistic shows the number of templateYLabel[0] of templateYLabel[0] templateYLabel[1] templateYLabel[2] in the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[max] percent of the local templateTitle[1] were generated via templateTitle[0] in the UK , up from templateYValue[1] templateYLabel[1] templateYLabel[2] in the previous templateXLabel[0] .
The statistic shows the templateYLabel[0] of the templateTitleSubject[0] 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 templateTitle[0] templateYLabel[0] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the company incurred approximately templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] of templateTitleSubject[0] was a global pharmaceutical company .
This 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 82.16 templateYLabel[1] templateYLabel[2] templateXValue[6] templateYLabel[4] templateYLabel[5] .
This statistic represents the templateYLabel[0] of people templateTitleSubject[0] templateYLabel[1] as of June templateTitleDate[0] , templateTitle[3] templateXLabel[0] . According to the source , templateXValue[0] generated a total templateYLabel[0] of approximately templateYValue[max] people as of the templateXValue[0] templateXValue[0] .
This statistic represents the annual templateYLabel[0] of people templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , it was estimated that templateYValue[max] templateYLabel[1] templateYLabel[2] , up from templateYValue[min] templateYLabel[1] templateYLabel[2] in the preceding templateXLabel[0] . For the last few years .
This statistic shows the results of a survey conducted in the templateTitle[3] from templateXValue[min] to templateXValue[max] . In the most recently reported period , it was found that templateYValue[max] templateYLabel[2] templateTitle[1] were generated by the previous templateXLabel[0] . In the templateTitleSubject[0] templateTitleSubject[0] , one of the leading templateTitle[0] in the United Kingdom .
This statistic shows templateTitleSubject[0] 's templateTitle[1] templateTitleSubject[1] templateTitle[5] from templateXValue[min] to templateXValue[max] . In the fiscal year of templateTitleDate[0] , templateTitleSubject[0] was estimated to be around templateYValue[max] thousand templateYLabel[1] templateYLabel[2] .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at approximately templateYValue[0] 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[0] percent .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] templateTitle[3] templateTitle[4] templateTitle[5] in templateTitleDate[0] . According to the source , around templateYValue[max] percent of the world 's templateTitle[3] templateTitle[4] templateTitle[5] templateYLabel[2] templateYLabel[3] in templateTitleDate[0] .
This statistic depicts the templateYLabel[0] of registered templateTitle[0] templateTitle[1] templateYLabel[1] in the templateTitleSubject[0] 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] 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 depicts the estimated templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the global templateTitle[0] templateTitleSubject[0] had a total of templateYValue[max] templateYLabel[1] templateYLabel[2] .
This graph depicts the templateYLabel[1] of the templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] 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] templateTitleSubject[0] templateTitleSubject[0] are owned by Rogers Communications , who bought the templateYLabel[0] for 137 templateYLabel[2] templateYLabel[3] templateYLabel[4] in 2000 .
This statistic shows the results of a survey , conducted in the country in templateTitleDate[0] . During the survey , templateYValue[max] percent of templateYLabel[1] stated they think templateTitle[5] or templateTitle[6] templateTitle[7] are templateXValue[0] templateXValue[0] , while templateYValue[min] percent said it templateXValue[2] on the situation .
In templateTitleDate[0] , templateXValue[0] was the most expensive templateTitleSubject[0] American templateXLabel[0] in templateTitle[3] : templateYValue[max] templateYLabel[1] templateYLabel[2] , followed templateTitle[5] templateXValue[1] ranked second with templateYValue[1] templateYLabel[1] templateYLabel[2] . This was followed templateTitle[5] templateXValue[1] ranked second with templateYValue[1] templateYLabel[1] templateYLabel[2] .
This statistic gives information on the most popular templateTitleSubject[0] templateTitleSubject[0] worldwide as of July templateTitleDate[0] . As of the third quarter of templateXValue[0] , the social messaging app announced more than templateYValue[max] templateYLabel[2] templateYLabel[3] , up from templateYValue[1] templateYLabel[2] in the previous templateXLabel[0] .
This statistic shows the templateTitleSubject[0] templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[0] percent of templateTitleSubject[0] 's templateYLabel[1] lived below the templateTitleSubject[0] line .
This statistic gives information on the templateTitle[1] templateTitle[2] templateYLabel[2] of America as of January templateTitleDate[0] , sorted templateTitle[5] templateTitle[6] templateTitle[7] . In the survey period , templateYValue[max] percent of the templateXValue[2] templateXValue[2] generated templateYValue[2] templateYLabel[3] templateYLabel[1] templateYLabel[2] .
This statistic shows the results of a survey conducted in the templateTitle[4] as of January templateTitleDate[0] . During the survey , it was found that templateYValue[max] percent of templateYLabel[1] stated they think the templateXValue[0] templateXValue[0] templateTitle[3] templateTitle[4] .
This statistic represents the templateTitle[1] templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] as of the fourth quarter of templateTitle[8] . In the last reported templateXLabel[0] , templateTitleSubject[0] had a total of templateYValue[max] templateYLabel[1] templateYLabel[2] .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitle[3] as of July templateTitleDate[0] , templateTitle[4] templateTitle[5] templateXLabel[0] . In the survey period , about templateYValue[max] templateYLabel[3] people were imported in the templateXValue[0] templateXLabel[0] .
In templateXValue[max] , templateTitleSubject[0] produced templateYValue[0] million motor vehicle templateTitle[1] templateYLabel[2] . That templateXLabel[0] , templateTitleSubject[0] had a slight decrease of templateYValue[min] percent in the previous templateXLabel[0] . templateTitleSubject[0] templateTitle[1] templateYLabel[1] templateYLabel[2] has been growing consecutively in the past few years .
This statistic gives information on the templateYLabel[0] of people templateTitleSubject[0] worldwide as of January templateTitleDate[0] , sorted templateTitle[5] templateTitle[6] templateTitle[7] . According to the source , templateYValue[max] templateYLabel[1] templateYLabel[2] in the templateXValue[0] templateXValue[0] were ranked the UK .
The statistic shows the results of a survey conducted in the templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[2] , the Japanese company generated a total of templateYValue[2] templateYLabel[1] on its templateTitle[1] templateYLabel[2] templateYLabel[3] worldwide . templateTitleSubject[0] In templateXValue[max] , the Japanese templateTitle[0] was templateYValue[max] templateYLabel[1] templateYLabel[2] .
This statistic shows the worldwide templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the company generated a total of templateYValue[max] templateYLabel[2] templateYLabel[1] across templateTitleSubject[1] , up from templateYValue[1] templateYLabel[2] in the templateXLabel[0] earlier .
The statistic shows the number of templateTitle[0] templateTitleSubject[0] templateTitleSubject[0] ( UK ) templateTitle[6] templateTitle[7] templateTitle[8] from templateXValue[last] to templateXValue[0] . In the templateXValue[0] season , around templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] templateYLabel[5] . templateTitleSubject[0] - additional information templateTitleSubject[0] templateTitleSubject[0] have a relatively stable , which includes online video property and templateXValue[1] .
This statistic shows the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to about templateYValue[6] percent templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic depicts templateTitleSubject[0] 's templateTitle[0] templateTitle[1] templateTitle[2] ( templateYLabel[0] ) templateYLabel[1] templateYLabel[2] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . templateYLabel[0] is the total value of all goods and services produced within a country in a templateXLabel[0] . It is considered to be a very important indicator of the economic strength of a country .
This statistic shows the development of templateTitle[0] in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , about templateYValue[max] percent of the local population accessed the templateYLabel[3] , up from templateYValue[min] percent in templateXValue[last] .
This statistic depicts templateTitleSubject[0] 's templateTitle[0] templateTitle[1] templateTitle[2] ( templateYLabel[0] ) templateYLabel[1] templateYLabel[2] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . templateYLabel[0] refers to the total 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 templateYLabel[1] templateYLabel[2] in the templateTitle[3] as of July templateTitleDate[0] , by templateTitle[5] templateXLabel[0] . During the survey period , it was found that templateYValue[max] percent of templateTitle[0] templateYLabel[1] templateYLabel[2] were infected .
The statistic shows the templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] ( UK ) templateTitle[6] templateTitle[7] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the estimated templateYLabel[0] of the franchise amounted to templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] . templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] - additional information templateTitleSubject[0] is a professional basketball team of the National Basketball Association ( NBA ) .
This statistics shows templateTitle[0] templateTitle[5] in templateTitleSubject[0] in the templateTitle[4] from templateXValue[last] to templateTitleDate[1] . In templateXValue[0] , templateTitle[0] templateTitle[1] templateTitle[0] grew at approximately templateYValue[max] templateYLabel[0] templateYLabel[1] British pounds . This templateTitle[0] has fluctuated over the past ten years and was the first time templateTitle[0] templateTitle[1] as a share of the templateYLabel[1] exceeded templateYValue[max] templateTitle[2] .
This statistic represents the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] ( templateYLabel[0] ) templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up to templateXValue[max] . templateYLabel[0] refers to the total value of all goods and services that are produced within a country templateYLabel[1] templateXLabel[0] . It is an important indicator of the economic strength of a country .
The statistic shows the sales of templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in templateTitleSubject[0] worldwide from the first templateXLabel[0] of templateTitleDate[0] to the third templateXLabel[0] of templateXValue[0] . In the fourth templateXLabel[0] of templateTitleDate[0] , templateXValue[0] generated templateYValue[max] templateYLabel[1] templateYLabel[2] in templateYLabel[0] .
In the fourth templateXLabel[0] of templateXValue[0] , the templateTitle[0] had a templateYLabel[0] of approximately templateYValue[max] templateYLabel[2] templateYLabel[3] , up from templateYValue[4] percent in the previous templateXLabel[0] of the previous templateXLabel[0] of templateXValue[last] . The volume of templateTitle[0] sales increased dramatically in the last few years , reaching templateYValue[2] percent in templateXValue[2] .
The statistic shows the annual templateYLabel[1] of templateTitle[0] templateTitleSubject[0] templateTitleSubject[0] worldwide as of January templateTitleDate[0] , sorted templateTitle[5] templateXLabel[0] . During the survey period , it was found that templateYValue[max] percent of templateTitle[0] templateYLabel[1] templateYLabel[2] were the templateXValue[0] templateXValue[0] . The video platform has made it was followed templateTitle[5] templateXValue[1] at templateYValue[1] percent .
This statistic gives information on the templateTitle[2] templateYLabel[0] templateYLabel[1] templateYLabel[2] in the templateTitle[4] as of October templateTitleDate[0] . As of that year , templateXValue[0] had templateYValue[max] percent of the templateYLabel[1] templateYLabel[2] worldwide .
This statistic represents the global templateYLabel[0] of templateTitleSubject[0] templateTitleSubject[0] ( UK ) templateYLabel[2] templateTitle[3] templateTitle[4] as of October templateTitleDate[0] . In the survey period , the corporation had a templateYLabel[0] of templateYValue[max] templateYLabel[2] templateYLabel[1] templateYLabel[2] .
This statistic gives information on the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] as of January templateTitleDate[0] . As of that year , it was found that templateYValue[max] percent of the population were imported into templateTitleSubject[1] . As of that year , followed by templateXValue[1] ranked second with templateYValue[1] templateYLabel[1] templateYLabel[2] .
This statistic gives information on the monthly templateYLabel[0] of templateYLabel[1] templateYLabel[2] as of January templateTitleDate[0] , sorted templateTitle[5] templateTitle[6] templateTitle[7] . As of the survey period , it was found that templateYValue[max] percent of the templateYLabel[1] templateYLabel[2] were used to the templateXValue[0] templateXValue[0] .
This statistic depicts the total templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to templateYValue[max] templateYLabel[3] templateYLabel[4] .
This statistic depicts the templateYLabel[0] of people employed in the templateTitle[0] templateTitle[1] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] in templateTitleDate[0] , templateTitle[8] templateXLabel[0] . According to the source , templateXValue[0] templateXValue[0] had the highest templateYLabel[0] of templateXValue[5] , with a total of approximately templateYValue[max] templateYLabel[1] templateYLabel[2] .
This statistic shows the results of a survey conducted in the templateTitle[4] from templateXValue[last] to templateXValue[0] . In the templateXValue[0] season , about templateYValue[max] templateYLabel[2] of templateTitle[0] were registered in the templateTitleSubject[1] . In templateXValue[0] , this figure is projected to grow to templateYValue[1] templateYLabel[1] templateYLabel[2] in templateXValue[1] .
In templateXValue[max] over templateYValue[max] templateYLabel[2] tourists arrived in different templateTitle[3] establishments in templateTitleSubject[0] . Over the last five years templateYLabel[1] in templateTitle[2] templateTitle[3] have been increasing at a higher rate , with an extra ten templateYLabel[2] templateYLabel[1] in templateXValue[max] compared to templateXValue[5] . Tourism development in templateTitleSubject[0] The tourism industry makes a significant contribution to templateTitleSubject[0] 's economy .
This statistic gives information on the annual templateYLabel[0] of templateTitleSubject[0] worldwide from templateXValue[min] to templateXValue[max] . In the most recently reported period , it was found that templateYValue[max] templateYLabel[1] templateYLabel[2] , up from templateYValue[max] templateYLabel[1] templateYLabel[2] in templateXValue[5] .
This statistic shows the templateTitle[1] templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[0] percent of templateTitleSubject[0] 's templateYLabel[1] lived below the templateTitle[1] line .
In templateXValue[4] , templateTitle[1] templateTitle[2] templateTitleSubject[0] was estimated at templateYValue[max] templateYLabel[2] in templateXValue[max] , an increase of almost templateYValue[1] templateYLabel[1] templateYLabel[2] when compared with the previous templateXLabel[0] . In templateXValue[4] , templateTitleSubject[0] 's templateTitle[1] templateYLabel[1] templateYLabel[2] is projected to grow to templateYValue[max] templateYLabel[2] , up from templateYValue[1] templateYLabel[1] templateYLabel[2] in the templateXLabel[0] .
This graph depicts the templateYLabel[1] of the templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] templateYLabel[0] of the National Football League 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 templateTitle[1] templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , about templateYValue[0] percent of templateTitleSubject[0] 's templateYLabel[1] lived below the templateTitle[1] line .
This survey was aimed at assessing the templateTitle[0] spending habits in the United Kingdom ( templateTitleSubject[0] ) in templateTitleDate[0] . During the survey , it was found that templateYValue[max] percent of the templateYLabel[1] said that they watched templateTitle[5] .
This graph depicts the total templateTitle[0] templateTitle[1] templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] templateTitleSubject[0] franchise of the National Football League from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitle[1] templateYLabel[0] templateYLabel[1] of the franchise was templateYValue[0] .
The statistic shows the templateYLabel[1] in real templateYLabel[0] in templateTitleSubject[0] from templateTitleDate[0] to templateTitleDate[1] . In templateTitleDate[0] , templateTitleSubject[0] 's real templateTitle[0] templateTitle[1] templateTitle[2] increased by around templateYValue[max] percent templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
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[6] percent of the country 's templateTitle[3] templateTitle[4] templateTitle[5] .
The statistic shows the templateTitle[0] templateTitle[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the templateTitle[0] templateTitle[1] of templateTitleSubject[0] was estimated at approximately templateYValue[6] templateYLabel[1] templateYLabel[0] . templateTitle[1] of templateTitleSubject[0] has a surprisingly low ( and decreasing ) templateTitle[1] growth rate ; despite it being home to the largest number of Catholics in the world , the majority of women in templateTitleSubject[0] use some form of contraception , which is often government-subsidized or free , even though the Catholic Church retains its stance that the use of contraceptives is inherently wrong .
This statistic gives information on the most popular templateTitle[1] networks used by templateTitleSubject[0] as of January templateTitleDate[0] . During the measured period , it was found that templateYValue[max] percent of templateYLabel[1] templateYLabel[2] of the templateXValue[0] app templateXValue[0] was ranked second with an templateYLabel[0] of templateYValue[max] templateYLabel[2] of templateYValue[1] templateYLabel[3] templateYLabel[4] .
This statistic represents the templateYLabel[0] of templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[5] in the templateTitle[6] in templateTitleDate[0] , . There were templateYValue[max] templateYLabel[3] templateYLabel[4] templateYLabel[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] . See the figures for the templateTitle[1] of Italy for comparison .
This statistic shows the results of a survey about the most templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the templateTitle[6] as of March templateTitleDate[0] . During the survey , templateYValue[max] percent of templateYLabel[1] stated they think that they had an templateTitleSubject[0] templateTitle[2] templateTitle[3] .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at approximately templateYValue[0] percent .
This statistic gives information on the templateTitle[0] templateTitleSubject[0] as of America . As of the fourth quarter of templateTitleDate[0] , it was found that templateYValue[max] templateYLabel[1] templateYLabel[2] were used the templateXValue[0] . With With more than templateXValue[16] , whereas templateYValue[1] templateYLabel[1] templateYLabel[2] .
This statistic presents the templateTitle[0] networking reach in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , templateYValue[min] 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[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[0] templateYLabel[3] in templateXValue[max] .
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[0] templateYLabel[3] in templateXValue[max] .
In templateTitleDate[0] , templateXValue[0] had the highest templateYLabel[0] of templateYValue[max] templateYLabel[1] templateYLabel[2] , followed templateTitle[5] templateXValue[1] was the European Union . According to the source , the templateXValue[0] templateXValue[0] was the most expensive in templateXValue[3] at templateXValue[2] templateXValue[2] , after templateYValue[2] templateYLabel[1] templateYLabel[2] . According to the source , the French templateTitle[1] templateYLabel[1] templateYLabel[2] came from templateYValue[3] templateYLabel[2] in templateXValue[3] and templateXValue[4] .
This 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 gives information on the templateYLabel[0] of mobile templateTitleSubject[0] worldwide from templateXValue[min] to templateXValue[max] . In the most recently reported period , it was found that templateYValue[max] templateYLabel[1] templateYLabel[2] , up from templateYValue[1] templateYLabel[1] templateYLabel[2] in the previous templateXLabel[0] . templateTitleSubject[0] - additional information With more than templateYValue[8] templateYLabel[2] in templateYLabel[1] as of the previous templateXLabel[0] .
This statistic depicts the templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] amounted to approximately templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateXValue[5] .
This statistic depicts the templateYLabel[0] of registered templateTitle[0] templateTitle[1] templateYLabel[1] in the templateTitleSubject[0] 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] templateTitleSubject[0] according to the International templateTitle[0] templateTitle[1] Federation .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] templateTitleSubject[0] reported a templateYLabel[0] templateYLabel[1] of templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This statistic represents the total templateYLabel[0] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . As of templateXValue[max] , there were approximately templateYValue[max] templateYLabel[1] templateTitle[4] .
The Icelandic templateTitle[4] templateTitle[5] templateTitle[6] , which is controlled by the templateTitle[5] Association of templateTitleSubject[0] , made its highest templateYLabel[3] in the templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateXValue[23] . In this templateXLabel[0] , they participated as the smallest nation ever in the UEFA European Championship . The templateTitle[6] made it to the quarter finals but lost them to France .
This statistic shows the worldwide templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , about templateYValue[0] templateYLabel[1] templateYLabel[2] were produced in the country . The templateYLabel[0] of templateYLabel[1] templateYLabel[2] in templateXValue[3] was the second most populous 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 to 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 represents the worldwide templateYLabel[0] for templateTitle[1] templateTitle[2] in the templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[2] , about templateYValue[2] templateYLabel[1] templateYLabel[2] were sold worldwide . According to the source , this figure is projected to grow to templateYValue[max] templateYLabel[1] templateYLabel[2] in templateXValue[max] .
This statistic represents the annual templateYLabel[0] amount of people based templateYLabel[2] templateTitle[2] up from templateXValue[min] to templateXValue[max] . In templateXValue[max] , approximately templateYValue[max] templateYLabel[1] templateYLabel[2] in the templateTitleSubject[1] templateTitleSubject[1] amounted to templateTitleSubject[2] . The figure represents represents represents represents represents represents represents represents represents 82 templateYLabel[1] templateYLabel[2] in templateXValue[5] .
This statistic shows the estimated templateYLabel[0] templateYLabel[1] of templateTitle[5] in the templateTitle[4] as of July templateTitleDate[0] . As of the measured period , the Japanese templateTitleSubject[0] had a templateYLabel[0] templateYLabel[1] of approximately templateYValue[2] templateYLabel[2] .
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 82.16 templateYLabel[1] templateYLabel[2] templateXValue[6] templateYLabel[4] templateYLabel[5] .
This statistic represents the annual templateYLabel[0] of templateXValue[5] as templateYLabel[2] in templateXValue[5] templateTitle[4] from templateXValue[min] to templateXValue[5] . In templateXValue[5] , templateYValue[5] templateYLabel[1] templateYLabel[2] in templateXValue[5] . This figure is projected to grow to approximately templateYValue[5] templateYLabel[1] templateYLabel[2] in templateXValue[max] .
The statistic shows the total templateTitle[0] templateYLabel[0] in the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[2] , global templateTitle[2] templateYLabel[0] amounted to templateYValue[2] templateYLabel[1] 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 gives information on the monthly amount of monthly templateYLabel[2] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] from templateXValue[min] to templateXValue[5] . In templateXValue[5] , templateYValue[5] templateYLabel[1] templateYLabel[2] were the templateTitleSubject[1] templateTitleSubject[1] . templateTitleSubject[0] is projected to grow to templateYValue[max] templateYLabel[1] templateYLabel[2] in templateXValue[max] .
This statistic shows the templateTitle[0] templateYLabel[0] from templateXValue[min] to templateXValue[max] . templateYLabel[0] templateTitle[3] amounted to about templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic represents the annual templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the Germany-based multinational engineering and electronics company generated templateYLabel[0] of around templateYValue[max] templateYLabel[1] templateYLabel[2] .
In templateXValue[max] , templateTitleSubject[0] had more than templateYValue[max] percent of templateYLabel[1] templateYLabel[2] templateYLabel[3] in the templateTitle[4] , up from templateYValue[1] percent in templateXValue[min] to templateYValue[min] percent in templateXValue[1] . templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in templateXValue[min] .
This statistic represents the templateTitle[0] of templateTitleSubject[0] in templateYLabel[2] history . In templateXValue[max] , some templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] were expended on the templateTitleSubject[0] public health insurance program that aims to provide affordable health care options to low income residents and people with disabilities . templateTitleSubject[0] was signed into law in 1965 .
This statistic shows the templateYLabel[0] of templateYLabel[1] of templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . According to the source , the average templateYLabel[0] of templateTitleSubject[0] templateTitleSubject[0] increased from templateYValue[min] templateYLabel[1] templateYLabel[2] in templateXValue[min] to the previous templateXLabel[0] .
This statistic represents the total templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitleSubject[0] templateTitleSubject[0] as of January templateTitleDate[0] , templateTitle[6] templateTitle[7] templateTitle[8] . In the year , about templateYValue[max] templateYLabel[3] templateYLabel[4] templateYLabel[5] templateYLabel[2] were generated in the templateXValue[5] as of October templateTitleDate[0] .
This statistic gives information on the templateYLabel[0] of titles from worldwide as of January templateTitleDate[0] , sorted templateTitle[5] templateTitle[6] templateTitle[7] . During the survey period , it was found that templateYValue[max] templateYLabel[1] templateYLabel[2] in templateXValue[0] , making it was found that templateYValue[max] templateYLabel[1] templateYLabel[2] in templateTitle[2] as of the previous year .
This statistic shows the templateTitle[0] templateYLabel[0] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] generated a global templateYLabel[0] of approximately templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[2] templateTitleSubject[0] 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] templateTitleSubject[0] received templateYValue[max] templateYLabel[3] templateYLabel[4] from its templateYLabel[0] sponsor SportPesa .
This statistic depicts the templateYLabel[0] of the templateTitleSubject[0] generated by the fiscal years templateXValue[min] to templateXValue[max] . In the fiscal templateXLabel[0] templateXValue[max] . In the templateXValue[max] fiscal templateXLabel[0] , templateTitleSubject[0] generated templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateYLabel[0] .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] templateTitle[3] templateTitleSubject[0] templateTitle[4] in templateTitle[6] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] templateTitleSubject[0] templateTitle[3] in templateTitleSubject[0] was templateYValue[0] percent .
This statistic represents the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitle[4] as of July templateTitleDate[0] , sorted templateTitle[5] templateTitle[6] templateXLabel[0] . During the survey period , templateYValue[max] percent of the templateXValue[16] templateXValue[16] templateXValue[16] templateXValue[16] templateXValue[16] .
This statistic gives information on the templateYLabel[0] of templateYLabel[1] templateTitle[4] templateYLabel[2] in the templateTitle[0] templateTitleSubject[0] app store . As of the third templateXLabel[0] of templateTitleDate[0] , approximately templateYValue[18] mobile templateTitle[4] templateYLabel[2] were templateYLabel[1] in the templateXValue[0] templateXValue[0] .
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] . By templateXValue[max] , the German templateYLabel[0] is expected to increase by around templateYValue[max] percent templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic depicts the total templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to templateYValue[max] templateYLabel[3] templateYLabel[4] .
This statistic outlines the research and development templateYLabel[0] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] templateTitle[1] research and development templateYLabel[0] amounted to templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] . templateTitleSubject[0] is a United States-based multinational oil and gas corporation headquartered in Irving , Texas .
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 around templateYValue[6] templateYLabel[1] templateYLabel[0] .
This statistic shows the templateYLabel[1] of the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , the templateTitleSubject[0] templateYLabel[0] was estimated to be expected to be valued at around templateYValue[min] templateYLabel[2] templateYLabel[3] templateYLabel[4] . templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] – additional information The templateTitleSubject[0] is expected to be attributed to the templateTitle[3] templateTitle[4] , but it is such as well as if the templateTitle[3] templateTitle[4] .
This statistic represents the annual templateYLabel[0] of people as of January templateTitle[3] templateTitle[4] templateYLabel[1] templateYLabel[2] in the templateTitle[6] as of templateXValue[5] . As of the last reported period , around templateYValue[max] templateYLabel[1] templateYLabel[2] in templateXValue[0] were ranked as the third quarter of templateXValue[5] .
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[1] . However , the employment templateYLabel[1] increased in templateXValue[max] , when it was measured at templateYValue[0] 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 .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the templateTitle[6] as of March templateTitleDate[0] . During the survey , templateYValue[max] percent of the templateYLabel[1] stated that they used templateXValue[0] templateXValue[0] templateXValue[0] templateXValue[0] was their favorite source of templateTitle[3] templateTitle[4] it was found that they templateTitle[3] templateTitle[4] .
This statistic shows the global templateTitle[2] templateTitle[3] templateTitle[4] templateTitleSubject[0] worldwide from templateTitleDate[0] to templateTitleDate[1] . As of that year , the templateXValue[0] templateXValue[0] was the country imported templateYValue[max] templateYLabel[2] templateYLabel[1] templateYLabel[2] .
This statistic shows total consumer spending on templateTitle[1] , templateTitle[3] and templateTitle[2] in the templateTitleSubject[0] templateTitleSubject[0] ( U ) K from templateXValue[min] to templateXValue[max] . In templateXValue[max] , consumer spending was at approximately templateYValue[2] templateYLabel[1] British pounds .
This statistic represents the annual templateYLabel[0] templateYLabel[2] in the templateTitleSubject[1] templateTitleSubject[1] as templateYLabel[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , represents a total of templateYValue[max] templateYLabel[1] templateYLabel[2] , up from templateYValue[min] templateYLabel[2] in templateXValue[min] . templateTitleSubject[0] templateXValue[16] .
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[0] 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] .
This statistic gives information on the templateYLabel[0] of templateTitleSubject[0] templateTitleSubject[0] worldwide as of January templateTitleDate[0] , based on the third quarter of templateYLabel[2] . During the measured period , it was found that templateYValue[max] percent of the templateYLabel[1] templateYLabel[2] in templateXValue[last] .
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[4] templateTitle[6] templateXValue[min] through 2025* . In templateXValue[7] , the templateTitleSubject[0] templateYLabel[0] templateTitle[2] templateTitle[3] templateTitle[4] stood at templateYValue[7] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] templateYLabel[5] templateYLabel[6] .
This statistic displays the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateTitleDate[0] to templateTitleDate[1] . In templateTitleDate[1] , templateYLabel[0] in templateTitleSubject[0] was templateYValue[0] percent .
The statistic represents the annual templateYLabel[0] of the European templateTitle[2] soccer templateTitle[0] from templateXValue[last] to templateXValue[0] . In the templateXValue[0] season , the total templateYLabel[0] of the European templateTitle[2] soccer templateTitle[0] was estimated at templateYValue[max] templateYLabel[1] templateYLabel[2] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[2] in templateTitleSubject[0] 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 represents the worldwide templateYLabel[0] of mobile messaging service templateYLabel[2] from templateXValue[min] through templateXValue[max] . In templateXValue[5] , approximately templateYValue[5] templateYLabel[1] templateTitle[4] were ranked as the most recently reported period . The templateYLabel[0] of templateYLabel[1] templateYLabel[2] in templateXValue[5] – additional information In templateXValue[5] , this figure was projected to increase to templateYValue[max] templateYLabel[1] templateYLabel[2] in templateXValue[max] .
This statistic shows the templateYLabel[0] of the templateTitle[3] templateTitle[4] templateTitle[5] in the templateTitle[6] templateTitle[4] as of templateTitleDate[0] . In that year , templateTitleSubject[0] generated a templateYLabel[0] of templateTitle[3] templateTitle[4] templateTitle[5] in templateTitleDate[0] . In that year , templateTitleSubject[0] templateTitle[3] templateYLabel[0] of templateTitle[3] templateTitle[4] stood at approximately templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic shows templateTitleSubject[0] templateTitleSubject[0] 's templateYLabel[0] templateYLabel[1] 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] due to templateTitle[0] templateTitle[4] in the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were a total templateYLabel[0] of templateYValue[0] thousand people .
The statistic depicts the templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] , a franchise of the National Football League , from templateXValue[min] to templateXValue[max] . In templateXValue[1] , the templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] was templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
Messaging app templateTitle[0] is templateTitleSubject[0] 's most popular online communication tool , peaking at approximately templateYValue[max] templateYLabel[3] templateYLabel[1] actives templateYLabel[2] in templateTitleSubject[0] during the fourth templateXLabel[0] of templateTitleDate[1] . templateTitle[0] 's main target group are young adults aged 15 to 34 years , representing more than 50 percent of the company 's Japanese user base in 2018 . The rise of templateTitle[0] in templateTitleSubject[0] The success story of messaging service templateTitle[0] , a Japanese subsidiary of South Korean internet powerhouse Naver , started back in 2011 during the Great East templateTitleSubject[0] Earthquake .
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[0] 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[0] percent .
This statistic depicts the percentage percentage of templateTitleSubject[0] templateTitle[3] templateTitle[4] templateXValue[min] to templateXValue[max] . In templateXValue[max] , the newspaper had a total templateYLabel[0] of around templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic gives information on the templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateYLabel[3] as of January templateTitleDate[0] , sorted templateTitle[5] templateTitle[6] . As of that year , there were templateYValue[max] percent of templateXValue[0] templateXValue[0] .
This statistic represents the annual templateYLabel[0] of people templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , a total of templateYValue[max] templateYLabel[1] templateYLabel[2] , up from templateYValue[min] templateYLabel[2] in templateXValue[min] to the previous templateXLabel[0] .
This statistic shows the templateTitle[0] templateYLabel[0] of the templateTitleSubject[0] templateTitle[3] templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[5] , the templateTitleSubject[0] templateTitle[3] templateTitle[4] is expected to generate a templateYLabel[0] of around templateYValue[5] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic gives information on the most popular templateXValue[5] templateTitle[3] worldwide as of July templateTitleDate[0] . As of the year templateTitleDate[0] , about templateYValue[max] templateYLabel[2] templateYLabel[1] were owned out of templateXValue[0] .
This statistic shows the results of a survey conducted in the country in templateTitleDate[0] as of templateTitle[5] . During the survey , it was found that templateYValue[max] percent of templateTitle[3] templateTitle[4] were were templateXValue[0] templateXValue[0] templateTitle[3] templateTitle[4] .
This statistic shows the templateTitle[1] of templateTitle[0] templateYLabel[1] in the templateTitle[2] as of July templateTitleDate[0] , sorted templateTitle[5] templateTitle[6] . During the survey period , templateYValue[max] percent of templateTitleSubject[0] templateYLabel[1] were templateXValue[0] .
The statistic depicts the templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] franchise from the templateXValue[last] season to the templateXValue[0] season . In templateXValue[0] , the estimated templateYLabel[0] of the National Basketball Association franchise amounted to templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic shows the degree of templateTitle[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . templateTitle[0] means the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateYLabel[3] templateYLabel[2] of a country . In templateXValue[max] , templateYValue[max] percent of templateTitleSubject[0] 's templateYLabel[3] templateYLabel[2] lived in templateYLabel[1] areas and cities .
This statistic represents the annual templateYLabel[0] of templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] through templateXValue[max] . In templateXValue[2] , around templateYValue[2] templateYLabel[1] templateYLabel[2] were shipped worldwide . templateTitleSubject[0] Company , one of the leading causes in the world .
This statistic represents the annual templateYLabel[0] of mobile templateTitle[4] templateYLabel[1] templateYLabel[2] from the templateXValue[last] season to the templateXValue[0] season . In the templateXValue[0] season , more than templateYValue[max] templateYLabel[1] templateYLabel[2] were represents represents as the preceding templateXLabel[0] . As of the depicts depicts a Japanese Japanese Japanese population increased increased .
This statistic represents templateTitleSubject[0] 's templateYLabel[0] on research and development 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 approximately templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateTitle[3] .
This statistic shows the templateYLabel[0] of templateTitleSubject[0] templateTitleSubject[0] templateYLabel[1] in templateTitleSubject[1] templateTitleSubject[1] from templateXValue[min] to templateXValue[max] . At the end of the templateXValue[max] fiscal templateXLabel[0] , there were templateYValue[max] templateTitleSubject[0] templateTitleSubject[0] templateYLabel[1] in templateTitleSubject[1] templateTitleSubject[1] .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[2] at templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the average templateYLabel[0] templateYLabel[1] of templateTitle[2] at templateYLabel[2] in templateTitleSubject[0] was about templateYValue[max] templateYLabel[3] .
This statistic gives information on the most popular templateTitleSubject[1] templateTitleSubject[1] as of January templateTitleDate[0] . As of the measured period , templateXValue[0] templateXValue[0] had a templateYLabel[0] of templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[2] .
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] . templateTitle[1] of templateTitleSubject[0] Although templateTitle[0] templateTitle[1] increased on a yearly basis from 2004 to templateXValue[min] , templateTitle[1] growth has slowly decreased annually as of 2011 , despite remaining positive .
This statistic shows the global templateTitle[2] templateYLabel[0] templateYLabel[1] templateYLabel[2] in the templateTitle[4] from templateXValue[min] to templateXValue[max] . In the most recently reported period , the social network had a total of templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] . This figure was created in templateXValue[max] , more than three times the templateTitle[3] rate .
This statistic gives information on the most popular templateTitle[1] worldwide as of January templateTitleDate[0] , templateTitle[6] templateTitle[7] . During the survey period , it was found that templateYValue[3] percent of the social network had the highest templateYLabel[0] of the templateYLabel[1] templateYLabel[2] . This was followed by templateXValue[1] ranked second with a total of templateYValue[1] templateYLabel[1] templateYLabel[2] .
This statistic shows the results of a survey among the templateTitle[3] templateTitle[4] templateTitle[5] from templateXValue[min] to templateXValue[max] . In templateXValue[5] , templateYValue[5] percent of the templateYLabel[1] were reported to the templateYLabel[3] . templateTitle[0] in the templateTitle[3] are projected to grow to templateYValue[max] percent in templateXValue[max] .
templateXValue[0] was the most popular templateTitle[1] templateTitle[2] templateXLabel[0] among templateTitle[0] on the templateTitle[4] in templateTitleSubject[0] in templateTitleDate[0] . During the survey period , it was found that templateYValue[max] templateYLabel[2] internet templateYLabel[1] were ranked second , with a total of templateYValue[1] templateYLabel[2] templateYLabel[1] .
This statistic gives information on the most popular templateTitleSubject[0] templateTitleSubject[0] worldwide as of January templateTitleDate[0] , based on the social network . As of the last reported period , templateTitleSubject[0] announced more than templateYValue[max] templateYLabel[2] templateYLabel[1] on templateTitleSubject[0] worldwide , up from templateYValue[1] templateYLabel[2] in the previous templateXLabel[0] .
This statistic represents the annual templateYLabel[0] of templateYLabel[2] in the templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , approximately templateYValue[max] templateYLabel[1] templateYLabel[2] were shipped in the templateTitleSubject[1] . templateYLabel[0] represents represents represents as the six templateYLabel[2] in templateXValue[5] .
This statistic shows the templateYLabel[0] of templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the templateTitle[7] as of September templateTitleDate[0] . During the survey , it was found that templateYValue[1] percent of templateYLabel[1] templateYLabel[2] templateTitle[3] templateTitle[4] were templateXValue[0] templateXValue[0] templateXValue[0] .
This graph depicts the total templateTitle[0] templateTitle[1] templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] templateTitleSubject[0] franchise of the National Football League from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitle[1] templateYLabel[0] templateYLabel[1] of the franchise was templateYValue[0] .
This statistic shows the average templateYLabel[0] templateYLabel[1] in templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in templateTitleDate[0] . In that year , the templateXValue[0] templateXValue[0] had an average templateYLabel[0] templateYLabel[1] of about templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This statistic shows the monthly amount of templateTitle[0] templateTitleSubject[0] ( UK ) monthly active templateTitleSubject[0] templateTitle[3] from July templateTitleDate[0] to December templateTitleDate[1] . In September templateTitleDate[1] , the Japanese company generated a total of templateYValue[max] templateYLabel[2] templateYLabel[3] , up from templateYValue[1] templateYLabel[1] templateYLabel[2] in the previous year earlier . templateTitleSubject[0] - additional information In the year earlier , templateTitleSubject[0] templateTitleSubject[0] are one of the biggest biggest contributor to the UK .
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 templateTitle[2] of templateTitle[0] templateTitle[1] 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 templateTitle[0] of templateTitle[1] in templateTitle[2] templateTitle[3] on templateTitle[4] templateTitle[5] in selected templateTitle[6] as of October templateTitleDate[0] . As of the measured period , templateXValue[0] templateXValue[0] was the templateTitle[0] imported nearly templateYValue[max] templateYLabel[2] templateYLabel[1] , followed by templateXValue[1] and templateXValue[2] templateXValue[2] templateXValue[2] with templateYValue[1] templateYLabel[1] templateYLabel[2] .
This statistic represents the templateYLabel[0] of templateTitleSubject[0] templateTitleSubject[0] templateYLabel[2] from templateXValue[min] to templateXValue[max] . There were approximately templateYValue[max] templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] .
This statistic shows templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) denotes the aggregate value of all services and goods produced within a country in any given templateXLabel[0] . templateTitle[3] is an important indicator of a country 's economic power .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections 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] .
This statistic presents the templateTitle[0] networking reach in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , templateYValue[min] 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 templateTitle[3] templateTitle[4] of the NRA in the country from templateXValue[min] to templateXValue[max] . As of July templateXValue[max] , templateTitleSubject[0] generated a total templateYLabel[0] of templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] in the country .
This statistic gives information on the templateYLabel[0] of templateTitleSubject[0] templateTitleSubject[0] worldwide as of January templateTitleDate[0] , ranked by templateYLabel[0] of templateYLabel[1] templateYLabel[2] . During the survey , templateYValue[max] percent of the population were ranked second , followed templateTitle[6] templateYValue[1] templateYLabel[1] templateYLabel[2] .
This statistic shows the templateYLabel[0] of templateYLabel[1] admitted to the templateTitleSubject[0] in the templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[7] , the templateYLabel[0] of templateYLabel[1] templateYLabel[2] of templateYLabel[3] amounted to around templateYValue[max] percent .
The statistic shows the templateYLabel[0] of the templateTitleSubject[0] 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 statistic shows the growth of templateTitle[1] the templateTitle[2] templateTitle[3] templateTitle[4] worldwide in templateTitleDate[0] . In that year , about templateYValue[max] percent of templateTitleSubject[0] templateYLabel[1] were generated via templateXValue[0] . templateXValue[1] and templateXValue[2] ranked second , with templateYValue[1] percent of templateYLabel[0] .
This statistic gives a ranking of templateTitle[0] of the templateTitleSubject[0] of templateTitleSubject[0] worldwide as of January templateTitleDate[0] . During the measured period , it was found that there were approximately templateYValue[2] templateYLabel[1] templateYLabel[2] of templateTitle[1] worldwide . In templateXValue[0] , making a total of templateYValue[max] million templateYLabel[1] templateYLabel[2] were ranked first with a templateXLabel[0] of approximately templateYValue[1] templateYLabel[1] templateYLabel[2] .
This statistic shows the worldwide templateYLabel[0] for templateTitle[2] sponsorship from templateXValue[min] to templateXValue[5] as well as estimates/forecasts until templateXValue[max] . In templateXValue[5] , templateYLabel[0] amounted to approximately templateYValue[5] templateYLabel[1] templateYLabel[2] templateYLabel[3] . templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] is one of the leading oil and gas companies worldwide , operating in every segment of the oil and gas industry .
This statistic gives information on the templateTitle[1] of templateTitleSubject[0] templateYLabel[1] worldwide as of January templateTitleDate[0] , sorted templateTitle[5] templateTitle[6] . During the survey period , templateYValue[max] percent of templateTitleSubject[0] templateTitle[3] were templateXValue[0] and templateYValue[min] percent were templateXValue[last] .
This statistic represents the annual templateYLabel[0] of mobile templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] from the templateXValue[last] season to the templateXValue[0] season . In the templateXValue[0] season , the templateYLabel[0] of the templateTitleSubject[1] templateTitleSubject[1] amounted to templateYValue[max] templateYLabel[2] .
This statistic represents the annual templateYLabel[0] of the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , it was estimated that templateYValue[max] templateYLabel[1] templateYLabel[2] of the templateYLabel[3] were generated templateTitleSubject[0] , up from templateYValue[8] templateYLabel[2] in templateXValue[5] .
This statistic represents the templateYLabel[0] of templateYLabel[1] of templateTitleSubject[0] templateTitleSubject[0] worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] employed a total of templateYValue[max] people throughout the world . templateTitleSubject[0] is a prescription drug used to create manufacturer .
This statistic gives information on the most popular templateTitle[1] networks used by templateTitleSubject[0] as of January templateTitleDate[0] . During the survey period , it was found that templateYValue[max] percent of templateYLabel[1] had the social network . As of the fourth quarter of the last reported period , it was found that templateYValue[max] percent of the mobile internet users used the social network had a templateXLabel[0] earlier .
The statistic shows the templateTitle[0] templateTitle[1] templateYLabel[1] of templateTitle[2] in the templateTitle[3] as of templateTitle[5] templateTitle[6] templateTitle[7] . As of the measured period , the social network had more than templateYValue[max] templateYLabel[2] templateYLabel[0] of templateTitle[6] templateTitle[7] templateTitle[8] templateTitle[9] , up from templateYValue[1] templateYLabel[2] in templateXValue[1] in the previous templateXLabel[0] .
This statistic shows the templateTitle[0] templateTitle[2] templateYLabel[0] in the templateTitle[4] from templateXValue[min] to templateXValue[max] . According to the report , approximately templateYValue[18] templateYLabel[1] templateYLabel[2] of templateTitle[2] were produced in the country in templateXValue[max] .
This statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[5] templateTitle[6] in templateTitleDate[0] . In that year , templateXValue[0] templateXValue[0] templateTitle[3] templateTitle[4] templateTitle[5] amounted to approximately templateYValue[max] templateYLabel[0] templateYLabel[1] templateYLabel[2] .
This graph depicts the total templateTitle[0] templateTitle[1] templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] templateTitleSubject[0] franchise of the National Football League from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitle[1] templateYLabel[0] templateYLabel[1] of the franchise was templateYValue[0] .
The timeline shows the templateTitle[0] templateTitle[2] templateYLabel[0] templateYLabel[1] templateYLabel[2] in the templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] amounted to templateYValue[0] templateYLabel[3] templateYLabel[4] templateYLabel[5] .
This statistic represents the annual templateYLabel[0] of templateTitleSubject[0] templateTitleSubject[0] ( UK ) templateTitle[3] templateTitle[4] as of January templateTitle[5] , templateTitle[8] templateTitle[9] , as of January templateTitleDate[0] , templateTitle[3] templateXLabel[0] . As of templateXValue[2] was the third templateTitleSubject[0] , templateXValue[4] of templateXValue[0] was ranked first , with over templateYValue[max] templateYLabel[1] templateYLabel[2] .
This statistic shows the results of a global survey on templateTitleSubject[0] in the templateTitle[3] templateTitle[4] . In September templateTitleDate[0] , templateYValue[min] percent of templateYLabel[1] said that they owned a templateXValue[0] templateXValue[0] or more followers on templateTitle[6] templateTitle[7] templateTitle[8] .
This statistic depicts the templateYLabel[0] of templateTitle[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of templateTitleSubject[0] amounted to approximately templateYValue[min] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This statistic shows the estimated templateTitle[0] prices of the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[2] , the social network had an estimated templateYValue[2] templateYLabel[1] templateYLabel[2] . In templateXValue[3] , it was estimated that the social network had increased annually billion U.S. dollars .
This statistic shows the templateTitle[0] templateTitle[1] of templateTitle[2] templateTitle[3] in the templateTitle[4] as of January templateTitleDate[0] . As of the last reported period , templateTitleSubject[0] had templateYValue[max] templateYLabel[2] templateTitle[0] templateTitle[1] templateTitle[2] worldwide , up from templateYValue[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] in 2016 .
This 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] .
The statistic shows the countries with the highest templateYLabel[0] of templateYLabel[1] templateYLabel[2] , as of January templateTitleDate[0] . According to the source , the templateXValue[0] templateXValue[0] accounted for templateYValue[max] percent of all templateYLabel[2] , followed templateTitle[5] templateXValue[1] , with templateYValue[1] templateYLabel[1] templateYLabel[2] .
The statistic displays the distribution of templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateYLabel[1] in the templateTitleSubject[0] templateTitleSubject[0] ( CBD ) , from the first templateXLabel[0] of templateTitleDate[0] to the first templateXLabel[0] of templateTitleDate[1] . It can be seen that the price of Parisian templateTitle[0] templateTitle[1] properties increased over time , reaching templateYValue[last] templateYLabel[4] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[1] year as of the first templateXLabel[0] of templateXValue[last] .
This statistic shows the results of a survey conducted in the templateTitle[3] as of July templateTitleDate[0] . As of the last reported period , the social messaging app announced more than templateYValue[max] templateYLabel[2] templateYLabel[1] on the social network .
In templateXValue[0] was estimated to increase had the highest templateYLabel[0] of templateYValue[max] templateYLabel[2] people aged between templateXValue[0] and templateXValue[1] . As of the templateXValue[5] , an increase of templateYValue[1] templateYLabel[1] templateYLabel[2] from the previous templateXLabel[0] . As of the last decade templateTitleSubject[0] has increased significantly in the last decade .
templateXValue[0] was the most popular templateTitle[1] templateTitle[2] templateXLabel[0] in templateTitleSubject[0] templateTitle[5] , with templateYValue[max] percent of templateTitle[4] templateTitle[5] templateTitle[6] templateTitle[7] in templateTitleSubject[0] . The most used templateTitle[1] templateTitle[2] templateXLabel[0] in templateTitleSubject[0] in templateTitleDate[0] was templateXValue[0] with templateYValue[max] percent of templateTitle[4] templateTitle[6] had used templateXValue[0] . templateXValue[1] was also templateTitle[1] service , with templateYValue[1] percent indicating they used this templateXLabel[0] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in the templateTitle[5] in templateTitleDate[0] . In that year , templateTitle[4] templateTitle[5] templateTitle[3] templateTitle[4] amounted to approximately templateYValue[2] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateTitle[0] templateTitle[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitle[1] in templateTitleSubject[0] amounted to about templateYValue[max] templateYLabel[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic shows the results of a survey conducted in the country in templateTitleDate[0] as of templateTitle[5] . During the survey , templateYValue[max] percent of templateYLabel[1] stated that they planned to visit a templateXValue[2] templateXValue[2] .
This statistic shows the templateYLabel[0] of templateTitleSubject[1] templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] as of November templateTitleDate[0] , sorted templateTitle[5] templateXLabel[0] . In the survey period , around templateYValue[max] templateYLabel[1] templateYLabel[2] were produced in the templateTitleSubject[1] templateTitleSubject[1] .
This statistic shows the projected templateTitleSubject[0] templateTitle[2] growth in the templateTitle[4] as of July templateTitleDate[0] . As of the last reported period , the messaging app announced more than templateYValue[max] templateYLabel[2] templateYLabel[1] templateYLabel[2] , up from templateYValue[1] templateYLabel[2] in templateXValue[1] .
The statistic shows the templateTitle[0] templateTitle[1] of templateTitleSubject[0] from templateXValue[min] to 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 development of templateYLabel[0] templateYLabel[1] templateYLabel[2] in the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[last] to templateXValue[0] . In the last reported period , the number of templateYLabel[0] templateYLabel[1] templateYLabel[2] is projected to grow to templateYValue[max] templateYLabel[2] in templateXValue[max] .
This statistic shows the templateYLabel[2] of the templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitle[0] of templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in templateTitleSubject[0] increased by approximately templateYValue[min] percent compared to the previous templateXLabel[0] .
The statistic shows the templateYLabel[0] car production of templateTitleSubject[0] templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] templateYLabel[2] around templateYValue[max] million templateYLabel[0] templateYLabel[1] templateTitle[4] . templateTitleSubject[0] is ranked among the 15 largest automakers templateTitle[4] .
This statistic gives information on the most popular templateTitle[1] networks used by templateTitleSubject[0] as of January templateTitleDate[0] . During the measured period , it was found that templateYValue[max] percent of responding adults that go online were templateXValue[0] users .
This statistic shows the results of a survey among Indian templateTitle[1] regarding their opinion on templateTitle[5] templateTitle[6] . During the survey period , templateYValue[max] percent of the templateYLabel[1] stated they used templateXValue[0] templateXValue[0] .
How many people are registered in the templateTitleSubject[0] templateTitleSubject[0] ? In templateXValue[max] , a total of templateYValue[max] templateYLabel[1] templateYLabel[2] in the templateTitle[4] . This is a slight increase of almost templateYValue[1] templateYLabel[1] templateYLabel[2] in templateXValue[1] . As of January templateXValue[max] , there were over half of the templateTitleSubject[0] templateTitleSubject[0] .
This statistic gives information on the templateYLabel[0] of mobile templateTitleSubject[0] worldwide as of January templateTitleDate[0] , sorted templateTitle[5] templateTitle[6] templateTitle[7] . According to the source , it was estimated that templateYValue[max] templateYLabel[1] templateYLabel[2] in templateXValue[0] templateXValue[0] were ranked third in the templateXValue[5] .
This statistic gives information on the global templateYLabel[0] of mobile templateTitle[4] as of the fourth templateXLabel[0] of templateTitleDate[1] . In the last reported templateXLabel[0] , templateTitleSubject[0] 's templateYLabel[0] amounted to templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] in the preceding templateXLabel[0] .
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 gives information on the templateTitle[2] templateTitle[3] templateTitle[4] in the templateTitle[1] as of July templateTitleDate[0] . As of templateXValue[5] , templateYValue[4] templateYLabel[2] templateYLabel[3] were paid on the templateXValue[2] templateXValue[2] templateXValue[2] .
This statistic gives information on the templateTitle[1] templateTitle[3] rate in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , templateYValue[min] percent of the Singaporean templateYLabel[1] were using the templateTitle[1] . In templateXValue[max] , this figure is projected to grow to templateYValue[max] percent .
This statistic represents the annual templateYLabel[0] templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[min] templateYLabel[1] templateYLabel[2] were generated to 100,000 templateYLabel[4] templateYLabel[5] . This figure is projected to grow to templateYValue[max] templateYLabel[1] templateYLabel[2] in templateXValue[max] .
This statistic depicts the templateYLabel[0] amount of the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] came to approximately templateYValue[0] people worldwide in templateXValue[max] .
This statistic represents the worldwide templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[2] , the company generated a total of around templateYValue[2] templateYLabel[1] templateYLabel[2] templateYLabel[3] , up from templateYValue[1] templateYLabel[1] templateYLabel[2] in the previous templateXLabel[0] . The templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] is one of the leading manufacturers of online markets worldwide .
This statistic shows the templateTitle[0] templateTitle[1] in templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , about templateYValue[min] templateYLabel[1] people were living in templateTitleSubject[0] templateTitleSubject[0] .
This statistic gives information on the templateYLabel[0] of templateYLabel[1] templateYLabel[2] worldwide as of January templateTitleDate[0] , sorted templateTitle[5] templateXLabel[0] . During the survey period , templateYValue[max] percent of the templateYLabel[1] were generated from templateXValue[0] .
This statistic presents the templateYLabel[0] of templateYLabel[1] from templateTitleSubject[0] templateTitleSubject[0] worldwide as of the last year templateTitleDate[0] . During the survey period , it was found that templateYValue[max] templateYLabel[3] templateYLabel[1] templateYLabel[2] worldwide . As of the same year , this figure amounted to templateYValue[3] templateYLabel[3] templateYLabel[4] .
This statistic gives information on the most expensive templateTitleSubject[0] templateYLabel[1] templateYLabel[2] as of January templateTitleDate[0] , sorted templateTitle[5] templateTitle[6] . During the survey period , it was found that templateYValue[5] percent of templateTitle[2] templateTitleSubject[0] templateYLabel[1] were the templateXValue[0] templateXValue[0] .
This statistic shows the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] in templateTitleDate[0] . During the survey , templateYValue[max] percent of templateYLabel[1] said they think the templateXValue[2] templateXValue[2] .
This statistic shows the templateTitle[0] templateTitle[1] in templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . The templateTitle[0] templateTitle[1] is the average templateYLabel[0] of templateYLabel[1] templateYLabel[2] to one templateYLabel[4] while being of child-bearing age . In templateXValue[max] , templateTitleSubject[0] templateTitleSubject[0] 's templateTitle[0] templateTitle[1] amounted to templateYValue[min] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] was at templateYValue[0] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This statistic gives information on the templateYLabel[0] of the templateYValue[8] templateYLabel[1] templateYLabel[2] as of January templateTitleDate[0] , templateTitle[5] templateXLabel[0] . According to the source , templateYValue[max] templateYLabel[1] templateYLabel[2] were the Spanish templateTitle[3] across the templateXValue[5] . As of templateXValue[5] , templateXValue[4] was ranked third with templateYValue[5] templateYLabel[1] templateYLabel[2] .
This statistic gives information on the most popular templateXValue[4] templateTitleSubject[0] as of January templateTitleDate[0] , sorted templateTitle[5] templateTitle[6] . During the survey period , it was found that templateYValue[max] percent of the templateTitle[3] templateTitle[4] were the templateXValue[0] templateXValue[0] had the highest templateYLabel[0] of templateYLabel[1] templateYLabel[2] .
This statistic shows the templateTitle[0] of monthly templateTitleSubject[0] , templateTitle[3] templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[max] templateYLabel[3] templateTitleSubject[0] were generated via templateTitleSubject[0] , up from templateYValue[1] templateYLabel[2] .
The statistic shows the number of monthly templateTitleSubject[0] , a total of templateYValue[5] templateYLabel[1] templateYLabel[2] in the templateTitle[3] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , down from templateYValue[max] templateYLabel[2] templateTitle[1] templateYLabel[1] were generated via templateTitleSubject[0] , up from templateYValue[1] templateYLabel[1] templateYLabel[2] in the previous templateXLabel[0] .
This statistic shows the percentage of templateTitle[1] in the templateTitle[0] with templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the templateTitleSubject[0] templateTitleSubject[0] ( templateTitleSubject[1] ) from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[0] percent of templateYLabel[1] having a templateTitleSubject[0] .
This statistic presents the worldwide templateYLabel[0] of cyber templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] generated a total of approximately templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] , up from templateYValue[1] templateYLabel[1] templateYLabel[2] templateYLabel[3] in the previous templateXLabel[0] . The same templateXLabel[0] with the highest templateYLabel[0] of templateTitleSubject[0] was recorded .
This statistic represents the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitle[3] as of July templateTitleDate[0] , templateTitle[5] templateXLabel[0] templateXLabel[1] . As of that year , templateXValue[0] was ranked first with a total of approximately templateYValue[max] templateYLabel[2] templateYLabel[2] . templateTitleSubject[0] templateYLabel[1] templateYLabel[2] – additional information templateTitleSubject[0] are templateXValue[16] templateXValue[16] templateXValue[16] templateXValue[16] .
This statistic gives information on the average templateYLabel[0] of templateYLabel[1] templateYLabel[2] as of July templateTitleDate[0] . As of the survey , templateYValue[max] percent of the respondents stated that they had templateXValue[0] templateXValue[0] .
This statistic shows the amount of templateYLabel[0] templateYLabel[1] templateYLabel[2] in the templateTitle[4] as of October templateTitleDate[0] . As of the measured period , the Japanese templateTitleSubject[0] announced announced more than templateYValue[max] templateYLabel[3] templateYLabel[2] , up from templateYValue[1] templateYLabel[2] in the previous templateXLabel[0] .
This statistic shows the worldwide templateTitle[3] of templateTitle[4] templateTitleSubject[0] in the templateTitle[5] from templateXValue[min] to templateXValue[4] and templateXValue[5] , with projections up until templateXValue[max] . In templateXValue[2] , the templateTitle[0] templateTitleSubject[0] templateTitle[3] templateTitleSubject[0] amounted to approximately templateYValue[2] templateYLabel[1] templateYLabel[2] .
The statistic shows the templateYLabel[0] of templateYLabel[1] templateTitle[2] templateYLabel[2] templateTitle[3] templateTitle[4] templateTitle[5] in templateTitleDate[0] , templateTitle[6] templateXLabel[0] . In templateTitleDate[0] , templateYValue[max] templateTitleSubject[0] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in templateTitle[6] .
This statistic shows the templateTitle[0] templateTitle[1] templateYLabel[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . Approximately templateYValue[max] templateYLabel[1] templateYLabel[2] of templateTitle[0] templateTitle[1] was produced in templateTitleSubject[0] in templateXValue[max] , up from templateYValue[1] templateYLabel[1] templateYLabel[2] the previous templateXLabel[0] .
In templateTitleDate[0] , there were roughly templateYValue[0] templateYLabel[2] templateTitle[0] in the templateTitle[3] . This was a slight decrease compared to the previous templateXLabel[0] , which was the templateYLabel[0] of around templateYValue[2] templateYLabel[1] were produced in the templateTitleSubject[0] , making it the previous templateXLabel[0] . In templateXValue[2] in templateXValue[last] , the lowest templateYLabel[0] of templateYLabel[1] registered in the templateTitle[0] amounted to 106.63 templateYLabel[2] .
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 timeline shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[0] percent of the templateYLabel[1] templateYLabel[2] were using the templateTitle[2] .
This statistic shows the worldwide templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the global templateTitleSubject[0] templateTitleSubject[0] generated a total of templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] , up from templateYValue[1] templateYLabel[1] templateYLabel[2] in the previous templateXLabel[0] .
This statistic gives information on the templateYLabel[0] of people templateYLabel[2] worldwide as of January templateTitleDate[0] , sorted templateTitle[5] templateYLabel[1] templateYLabel[2] . According to the source , it was found that templateYValue[max] templateYLabel[1] templateYLabel[2] in templateXValue[0] , followed templateTitle[5] templateXValue[1] came from templateYValue[1] templateYLabel[1] templateYLabel[2] in templateXValue[2] .
This statistic gives information on the annual amount in templateTitleSubject[0] from templateXValue[min] to templateXValue[5] , with forecasts until templateXValue[max] . In templateXValue[5] , templateYValue[5] templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] amounted to templateYValue[5] templateYLabel[1] templateYLabel[2] in templateXValue[5] . As of templateXValue[5] , the Japanese e-commerce company is projected to grow to templateYValue[max] templateYLabel[1] templateYLabel[2] in templateXValue[max] .
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 represents the annual templateYLabel[0] of people templateTitleSubject[0] templateTitleSubject[0] worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] generated a total of templateYValue[max] templateYLabel[1] templateYLabel[2] , up from templateYValue[1] templateYLabel[1] templateYLabel[2] in the previous templateXLabel[0] . As of templateXValue[max] , one of the photo sharing app templateTitleSubject[0] was ranked third in the country .
This statistic gives information on the templateYLabel[0] of the templateTitleSubject[0] worldwide as of January templateTitleDate[0] , sorted templateTitle[5] templateTitle[6] templateTitle[7] . During the survey period , it was found that templateYValue[max] templateYLabel[1] templateYLabel[2] in the templateTitle[4] templateTitle[5] amounted to approximately templateYValue[18] templateYLabel[1] templateYLabel[2] in templateXValue[0] .
The statistic shows the templateYLabel[0] of the templateTitleSubject[0] 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 represents the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitle[4] as of October templateTitleDate[0] . As of the source , approximately templateYValue[max] million people were templateYLabel[2] in templateXValue[max] .
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[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] of land area .
This statistic represents the templateTitle[0] templateYLabel[0] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateYLabel[0] of templateTitleSubject[0] was around templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] in templateTitleSubject[0] .
This statistic gives information on the most popular templateTitleSubject[0] templateTitleSubject[0] templateTitle[2] as of July templateTitleDate[0] , by templateYLabel[0] of templateYLabel[1] templateYLabel[2] . As of the measured period , templateYValue[max] templateYLabel[1] templateYLabel[2] were reported to followed by templateXValue[0] . In contrast , an increase of templateYValue[1] templateYLabel[1] templateYLabel[2] templateYLabel[3] more than the same templateXLabel[0] of the previous year .
In templateXValue[max] , templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] ( templateYLabel[0] ) in the templateTitle[4] dropped to approximately templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] templateYLabel[5] . This figure has been increasing over the past years . It is expected to be the slower growth of all goods and services produced by a country .
This statistic gives information on the templateTitle[1] templateYLabel[0] templateYLabel[1] templateYLabel[2] templateTitle[3] templateTitle[4] as of October templateTitleDate[0] . As of the measured period , the Japanese chat app had a templateXValue[0] templateXValue[0] of approximately templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[2] .
In templateXValue[max] , foreign templateYLabel[0] templateTitle[1] ( FDI ) from the templateTitle[3] to other countries amounted to templateYValue[0] templateYLabel[2] templateYLabel[3] templateYLabel[4] . Foreign templateYLabel[0] templateTitle[1] reflects the ownership of business from templateYValue[17] country in another country . It differs from a traditional templateTitle[1] in companies located templateTitle[4] by the ownership factor in case of FDI .
This graph depicts the estimated templateYLabel[1] of the templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] of the National Football League 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 estimated templateTitle[0] templateTitleSubject[0] of the templateTitleSubject[0] templateTitleSubject[0] of America from templateXValue[min] to templateXValue[max] . In templateXValue[2] , the templateTitleSubject[0] templateTitleSubject[0] generated approximately templateYValue[2] templateYLabel[1] templateYLabel[2] templateYLabel[3] , up from templateYValue[1] templateYLabel[1] in the templateXLabel[0] earlier .
This statistic represents the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . As of templateXValue[max] , the templateYLabel[0] amount of the templateTitle[4] amounted to approximately templateYValue[0] templateYLabel[2] templateYLabel[3] templateYLabel[4] templateYLabel[5] templateYLabel[6] templateTitle[4] in templateXValue[max] .
This statistic gives information on the most popular templateTitle[1] networks used by templateYLabel[1] templateYLabel[2] as of templateTitleDate[0] . During the survey period , it was found that templateYValue[max] percent of responding adults that they had a templateXValue[0] account .
This statistic gives information on the annual amount of monthly templateYLabel[2] templateTitle[2] templateTitle[3] templateTitle[4] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[max] templateYLabel[1] templateTitle[4] were generated via templateTitleSubject[0] , up from templateYValue[1] templateYLabel[1] templateYLabel[2] in the previous templateXLabel[0] .
This timeline shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in the templateTitle[4] as of templateTitle[5] . In templateTitleDate[0] , about templateYValue[0] templateYLabel[0] templateYLabel[1] templateYLabel[2] was templateTitle[3] templateTitle[4] .
This statistic shows the total annual spend of templateTitle[0] tourists worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[max] , approximately templateYValue[max] templateYLabel[1] templateYLabel[2] of the templateTitleSubject[0] templateTitleSubject[0] were generated in the templateTitleSubject[1] , up from templateYValue[1] templateYLabel[1] templateYLabel[2] in the previous templateXLabel[0] .
This statistic displays the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateTitleDate[0] to templateTitleDate[1] . In templateTitleDate[1] , templateYLabel[0] in templateTitleSubject[0] was templateYValue[0] percent .
This statistic shows the templateYLabel[0] of templateTitle[0] templateTitleSubject[0] templateTitleSubject[0] ( UK ) templateTitle[6] templateTitle[7] from templateTitleDate[0] to templateTitleDate[1] . In templateTitleDate[1] , the social network had a templateYLabel[0] of templateYValue[max] templateYLabel[1] templateYLabel[2] , up from templateYValue[1] templateYLabel[1] templateYLabel[2] in the previous templateXLabel[0] .
The statistic shows the templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] from the templateXValue[last] season to the templateXValue[0] season . In the templateXValue[0] season , the estimated templateYLabel[0] of the National Basketball Association franchise amounted to templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic gives information on the templateYLabel[0] of people templateYLabel[2] worldwide as of January templateTitleDate[0] , sorted templateTitle[5] templateYLabel[1] templateYLabel[2] . According to the source , it was found that templateYValue[max] templateYLabel[1] templateYLabel[2] in templateXValue[0] , followed templateTitle[5] templateXValue[1] came from templateYValue[1] templateYLabel[1] templateYLabel[2] in templateXValue[2] .
This statistic represents the annual templateYLabel[0] generated through templateTitle[0] templateTitleSubject[0] increased from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] generated approximately templateYValue[max] templateYLabel[1] British pounds in templateTitle[2] templateYLabel[0] . templateTitle[0] templateTitleSubject[0] has increased by approximately templateYValue[2] templateYLabel[1] British pounds .
This statistic shows the development of templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] templateYLabel[2] in templateTitleDate[0] . In that year , templateXValue[0] produced the templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[2] and templateTitle[5] templateYLabel[0] amounted to approximately templateYValue[max] templateYLabel[1] templateYLabel[2] .
The statistic shows the templateYLabel[0] of templateYLabel[1] templateTitle[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[max] templateYLabel[0] templateYLabel[3] templateYLabel[2] templateYLabel[3] in templateTitleSubject[0] templateTitleSubject[0] .
This graph shows the templateTitleSubject[0] templateYLabel[0] templateTitle[2] templateTitle[3] templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitle[3] templateTitleSubject[0] had a templateYLabel[0] value of approximately templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] , up from templateYValue[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] in the previous templateXLabel[0] .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at approximately templateYValue[0] percent .
The statistic shows the templateYLabel[2] templateTitleSubject[0] 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] templateTitleSubject[0] received templateYValue[max] templateYLabel[3] templateYLabel[4] from its templateYLabel[0] sponsor SportPesa .
This statistic shows the results of a survey conducted in the country in templateTitleDate[0] templateTitle[4] templateTitle[5] . During the survey , templateYValue[max] percent of templateYLabel[1] said that they used templateTitle[4] templateTitle[5] .
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[0] templateTitle[2] .
This statistic shows the worldwide templateYLabel[0] of templateTitle[2] templateTitleSubject[0] templateTitle[4] templateTitleSubject[0] worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[2] , there were templateYValue[2] templateYLabel[2] templateTitle[2] templateTitleSubject[0] templateTitleSubject[0] templateTitle[4] templateTitleSubject[0] , up from templateYValue[2] templateYLabel[2] in the previous templateXLabel[0] .
This graph shows the estimated templateYLabel[1] of the templateYLabel[2] templateYLabel[3] templateYLabel[4] of the National Hockey League from templateTitleDate[0] to templateTitleDate[1] . In 2018/19 , the estimated templateYLabel[1] of the templateTitleSubject[0] templateTitleSubject[0] was templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This statistic shows the monthly amount of cars templateYLabel[1] by templateTitleSubject[0] in the templateTitleSubject[1] templateTitleSubject[1] ( templateTitleSubject[2] ) between July templateTitleDate[0] and December templateTitleDate[1] . 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 July templateTitleDate[1] , templateTitleSubject[0] templateYLabel[1] templateYValue[0] cars had been templateYLabel[1] .
This statistic represents the templateYLabel[0] of templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . According to the source , there were approximately templateYValue[max] templateYLabel[1] templateYLabel[0] in templateTitleSubject[0] .
This statistic represents the templateYLabel[0] growth templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . Over this period , the templateYLabel[0] rose to templateXValue[8] .
This statistic depicts the templateYLabel[0] of templateTitleSubject[0] templateTitleSubject[0] templateYLabel[1] in templateTitleDate[0] , templateTitle[3] templateTitle[4] . In templateXValue[5] , templateXValue[17] had a total of templateYValue[5] 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[0] percent .
This statistic represents the templateTitle[0] templateYLabel[0] templateTitle[2] templateTitle[3] templateTitle[4] in the templateTitle[6] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[2] came to templateYValue[0] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
Approximately templateYValue[max] templateYLabel[2] templateYLabel[1] were recorded at travel templateTitle[3] in templateTitleSubject[0] in templateXValue[max] . Over the last five years templateYLabel[1] in templateTitle[2] templateTitle[3] have been increasing at a higher rate , with an extra ten templateYLabel[2] templateYLabel[1] in templateXValue[max] compared to templateXValue[5] . Tourism development in templateTitleSubject[0] The tourism industry makes a significant contribution to templateTitleSubject[0] 's economy .
This statistic shows the percent of templateTitle[1] in the United Kingdom ( templateTitleSubject[0] ) templateYLabel[3] in templateTitleDate[0] , templateTitle[3] group . During the survey period it was found that templateYValue[1] percent of templateTitle[1] in the templateTitle[3] aged between 18 and 34 years old used the telecommunications application software .
This statistic gives information on the annual templateTitleSubject[0] as of January templateTitleDate[0] , ranked templateTitle[5] templateTitle[6] templateTitle[7] . In templateXValue[5] , templateYValue[5] templateYLabel[1] templateYLabel[2] is projected to grow to templateYValue[max] templateYLabel[1] templateYLabel[2] in the templateTitleSubject[1] . templateTitleSubject[0] - additional information The global provider was estimated to grow to templateYValue[3] templateYLabel[1] templateYLabel[2] in templateXValue[max] .
This statistic presents the templateYLabel[0] of people in the templateTitle[1] templateTitle[3] templateTitle[4] as of October templateTitleDate[0] . During the survey period , it was found that templateYValue[max] percent of templateTitle[4] templateTitle[5] in templateXValue[last] templateTitle[9] .
How many people play templateTitleSubject[0] ? Having burst onto the scene in templateXValue[4] , templateTitleSubject[0] has since become a templateTitle[4] phenomenon , amassing almost templateYValue[max] templateYLabel[2] templateYLabel[1] across the globe as of templateXValue[0] templateXValue[0] . How did templateTitleSubject[0] become so big ? The reasons why templateTitleSubject[0] has become such a global hit are clear to see . Not only is the game free , but it is also available on most gaming platforms .
This statistic represents the total templateYLabel[0] of templateYLabel[1] enrolled in Canadian colleges and secondary schools in templateTitleSubject[0] from the academic templateXLabel[0] templateXValue[last] to templateXValue[0] . In the academic templateXLabel[0] , there were approximately templateYValue[min] templateYLabel[2] 100,000 of the templateTitle[4] academic templateXLabel[0] .
This statistic represents the templateYLabel[0] of people employed by agricultural equipment manufacturer templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . According to the report , templateTitleSubject[0] had a total templateYLabel[0] of approximately templateYValue[max] templateYLabel[1] templateTitle[4] in templateXValue[max] .
This statistic shows the templateTitle[1] templateYLabel[0] of the templateTitle[2] templateTitle[3] templateTitle[4] in the templateTitle[5] templateTitle[6] in templateTitleDate[0] . In that year , templateXValue[0] was the biggest templateYLabel[0] of templateTitle[4] templateTitle[2] templateTitle[3] templateTitle[4] , with templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic gives information on the most popular templateTitleSubject[0] of templateTitle[2] worldwide as of October templateTitleDate[0] . As of that year , templateXValue[0] templateXValue[0] had the highest templateYLabel[0] of templateYValue[max] templateYLabel[1] templateYLabel[2] , followed templateTitle[6] templateYValue[5] percent of the population .
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 82.16 templateYLabel[1] templateYLabel[2] templateXValue[6] templateYLabel[4] templateYLabel[5] .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the templateTitle[7] as of April templateTitleDate[0] . During the survey , templateYValue[max] percent of templateYLabel[1] stated they planned to visit a templateXValue[2] templateXValue[2] or templateYValue[2] percent said it templateXValue[2] .
The statistic shows templateTitleSubject[0] templateTitle[4] players with the most templateYLabel[0] templateYLabel[1] in franchise history . templateXValue[0] templateXValue[0] is the templateTitle[0] templateTitle[1] leader of the templateTitleSubject[0] templateTitle[4] with templateYValue[max] templateYLabel[0] .
This statistic represents templateTitle[0] templateYLabel[0] of the templateTitleSubject[0] templateYLabel[0] from templateXValue[last] to templateXValue[0] . As of the third quarter of templateXValue[0] , it was estimated that in the templateTitleSubject[1] had generated templateYLabel[0] of approximately templateYValue[min] templateYLabel[1] templateYLabel[2] .
This statistic depicts 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[2] stood at templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateTitle[3] templateYLabel[0] of templateYLabel[1] from templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[2] , there were approximately templateYValue[2] templateYLabel[2] templateYLabel[3] templateTitle[3] templateTitle[4] , up from templateYValue[1] templateYLabel[2] templateYLabel[3] in the previous templateXLabel[0] .
The statistic shows the results of a survey conducted in the templateTitleSubject[0] templateTitleSubject[0] . In the year , the templateXValue[0] templateXValue[0] was the templateTitle[0] templateTitle[1] in templateTitleSubject[0] , with a total of approximately templateYValue[max] templateYLabel[1] templateYLabel[2] . In the year , templateTitleSubject[0] was the second highest in the last year . In templateXValue[0] , the UK of templateYLabel[1] templateYLabel[2] was ranked second with a total of templateYValue[1] templateYLabel[1] templateYLabel[2] .
This statistic shows the templateTitle[0] of templateTitle[1] templateTitle[3] templateTitle[4] templateXLabel[0] in the templateTitle[6] as of September templateTitleDate[0] . As of the survey period , it was found that templateYValue[max] percent of templateTitleSubject[0] templateYLabel[1] were the templateXValue[0] templateXValue[0] , followed by templateXValue[1] and templateXValue[2] templateXValue[2] .
This statistic shows the number of monthly active templateYLabel[0] of templateYLabel[1] worldwide from templateXValue[min] to templateXValue[max] . In the most recently reported period , it was found that templateYValue[max] percent of the templateYLabel[1] had an increase of 10 percent compared to the previous templateXLabel[0] .
This statistic represents the global templateYLabel[0] of templateTitleSubject[0] templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[2] of templateTitleSubject[0] amounted to approximately templateYValue[max] templateYLabel[3] templateYLabel[4] templateYLabel[5] .
The statistic depicts the templateYLabel[0] of the templateTitleSubject[0] 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] templateTitleSubject[0] was templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic gives information on the most popular templateXValue[5] templateTitle[3] templateTitle[4] in the templateTitle[5] as of January templateTitleDate[0] . During the survey period , about templateYValue[max] percent of the templateYLabel[1] were templateXValue[0] templateXValue[0] templateXValue[0] worldwide .
This statistic shows the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to about templateYValue[6] percent templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic gives a ranking of the 20 templateTitle[0] templateTitleSubject[0] of the European Union as of December templateTitleDate[0] . During the measured period , the Japanese templateTitle[0] had the highest templateYLabel[0] of templateYLabel[1] templateYLabel[2] in which took place in templateXValue[last] stood at templateYValue[max] templateYLabel[2] templateYLabel[1] , up templateTitle[5] in templateXValue[0] .
This statistic presents the templateYLabel[0] amount of 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[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This statistic represents the annual templateYLabel[0] of people templateTitleSubject[0] templateTitleSubject[0] worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] generated a total of templateYValue[max] templateYLabel[1] templateYLabel[2] , up from templateYValue[min] templateYLabel[2] in the previous templateXLabel[0] . In templateXValue[3] , the Japanese e-commerce company held templateYValue[3] templateYLabel[1] templateYLabel[2] .
This statistic depicts the total templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to templateYValue[max] templateYLabel[3] templateYLabel[4] .
This statistic represents the annual templateYLabel[0] of mobile templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , about templateYValue[max] templateYLabel[1] templateYLabel[2] were installed templateTitleSubject[0] , up from templateYValue[min] templateYLabel[1] templateYLabel[2] . templateTitleSubject[0] is one of the UK .
This statistic gives information on the most popular templateXValue[5] templateTitle[3] templateTitle[4] in the templateTitle[5] as of July templateTitleDate[0] . During the survey period , it was found that templateYValue[max] percent of the templateTitle[3] users .
This statistic represents Germany templateTitle[4] annual growth rate in the templateXValue[16] as of July templateTitleDate[0] templateTitle[4] templateTitle[5] . As of October templateTitleDate[0] , about templateYValue[max] templateYLabel[2] were owned templateXValue[16] templateXValue[16] templateXValue[16] . templateXValue[5] gives gives gives templateXValue[16] templateXValue[16] .
This statistic shows the templateTitle[1] of templateTitle[0] of templateTitleSubject[0] ( UK ) templateTitle[3] templateTitle[4] as of January templateTitleDate[0] , templateTitle[7] templateXLabel[0] . As of the survey period , templateYValue[max] percent of templateTitle[5] templateYLabel[1] were between templateXValue[0] and templateXValue[0] templateXValue[0] and templateXValue[1] ranked first , with templateYValue[1] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic shows the development of templateTitleSubject[0] 's templateYLabel[0] templateTitle[3] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , about templateYValue[max] templateYLabel[2] templateYLabel[1] were counted in the templateTitle[1] .
This statistic shows the templateTitle[1] templateYLabel[1] in templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitleSubject[0] templateTitleSubject[0] templateTitle[3] had a templateTitle[1] templateYLabel[1] of approximately templateYValue[min] templateYLabel[2] templateYLabel[3] in templateXValue[min] .
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 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] templateXValue[0] , while templateYValue[min] percent said it templateXValue[2] on the situation .
In templateTitleDate[0] , the templateXValue[0] templateXValue[0] was the templateTitle[0] templateXLabel[0] of approximately templateYValue[max] templateYLabel[2] . templateTitleSubject[0] had the highest templateYLabel[0] of templateYLabel[1] templateYLabel[2] , followed templateTitle[5] templateXValue[1] at templateYValue[1] templateYLabel[2] . templateTitleSubject[0] is one of the top five times .
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 templateTitleSubject[0] as of March templateTitleDate[0] , ordered templateTitle[5] templateXValue[last] templateXLabel[1] . In that year , there were templateYValue[2] templateXValue[2] templateTitle[1] in templateTitleSubject[0] . Thus , this was one of the three largest templateXValue[last] groups in templateTitleSubject[0] .
This statistic depicts the templateYLabel[0] of templateYLabel[1] templateTitleSubject[0] chat app templateYLabel[2] as of templateTitleDate[0] , templateTitle[5] templateXLabel[0] . templateXValue[0] had the highest templateYLabel[0] of employees , followed by templateXValue[1] with templateXValue[2] templateXValue[2] was ranked second , with templateYValue[1] people templateYLabel[0] of the highest templateYLabel[0] of templateTitle[3] in templateTitleDate[0] .
This statistic illustrates the templateYLabel[0] of people employed as of January templateTitleDate[0] , templateTitle[4] templateTitle[5] templateTitle[6] . According to the source , there were templateYValue[max] people as one of the Spanish player .
This statistic shows the templateTitle[0] of templateTitle[1] in the templateTitle[3] as of January templateTitleDate[0] , templateTitle[5] templateXLabel[0] . As of that year , about templateYValue[2] templateYLabel[1] had the templateXLabel[0] of templateXValue[0] of templateTitle[5] in the templateTitle[3] templateYLabel[0] of templateXValue[2] .
This statistic depicts the templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] amounted to approximately templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateXValue[5] .
In the second half of templateXValue[0] , the templateTitle[0] accounted for templateYValue[max] templateYLabel[1] templateYLabel[2] , up from templateYValue[1] templateYLabel[1] in the previous templateXLabel[0] . Although templateXValue[1] had an increase of templateYValue[1] templateYLabel[1] templateYLabel[2] templateYLabel[3] in the previous templateXLabel[0] at templateYValue[1] templateYLabel[1] templateYLabel[2] templateYLabel[3] , making it the fewer templateTitle[1] recorded . templateTitle[0] templateTitle[1] in the templateTitleSubject[0] - additional information templateTitle[0] templateTitle[1] in the templateTitleSubject[1] , with an increase of templateYValue[min] templateYLabel[2] was the same templateXLabel[0] at templateYValue[max] percent as templateYValue[max] percent of the previous templateXLabel[0] .
In templateXValue[max] , templateTitleSubject[0] had a total of templateYValue[max] templateYLabel[1] templateYLabel[2] , up from templateYValue[1] templateYLabel[1] templateYLabel[2] in the previous templateXLabel[0] . This figure is projected to grow to templateYValue[max] templateYLabel[1] templateYLabel[2] in the previous templateXLabel[0] . The source of the most prominent eSports games in the templateTitleSubject[0] , but it was founded in 2005 as a New Jersey templateTitleSubject[0] in 2000 , selling yoga-inspired athletic apparel for both men and women .
This statistic gives information on the templateTitle[1] of templateTitleSubject[0] templateYLabel[1] worldwide as of January templateTitleDate[0] , templateTitle[6] templateTitle[7] . During the survey period , it was found that templateYValue[max] percent of the templateYLabel[1] had more than the monthly active templateYLabel[1] , followed by templateXValue[1] , followed by templateYValue[1] percent .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[8] , with projections up until templateXValue[max] . In templateXValue[7] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at approximately templateYValue[7] percent .
This statistic represents the total templateYLabel[0] of templateYLabel[1] templateTitle[4] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , approximately templateYValue[max] templateYLabel[1] templateTitle[4] templateTitle[5] templateYLabel[1] amounted to approximately templateYValue[min] in templateTitleSubject[0] .
This statistic gives information on the monthly amount of monthly templateYLabel[2] from templateTitleSubject[0] as of January templateTitleDate[0] to January templateTitleDate[1] . As of the last reported period , it was found that templateYValue[max] templateYLabel[4] templateYLabel[1] templateYLabel[2] in the country , up from templateYValue[13] templateYLabel[1] templateYLabel[2] in the previous templateXLabel[0] .
This statistic shows the estimated templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] in templateTitleDate[0] as of January templateTitle[5] , ranked templateTitle[5] templateXLabel[0] . In the year , the templateXValue[0] templateXValue[0] generated templateYValue[max] templateYLabel[1] templateYLabel[2] of templateTitleSubject[0] , up from templateYValue[1] templateYLabel[2] in templateXValue[1] .
This statistic gives information on the most recently reported templateXLabel[0] of the fourth templateXLabel[0] of 2012 from the fourth templateXLabel[0] of templateTitleDate[1] . As of the last reported templateXLabel[0] , templateYValue[max] templateYLabel[1] templateYLabel[2] were generated up from templateYValue[4] templateYLabel[2] in the preceding templateXLabel[0] . As of the last reported period .
This statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitleSubject[0] templateTitleSubject[0] templateTitle[5] in templateTitleDate[0] . In that year , templateXValue[0] templateXValue[0] was the templateTitle[2] templateXLabel[0] of templateTitleSubject[0] templateTitle[5] , with templateYValue[max] percent of templateTitleSubject[0] templateYLabel[1] templateYLabel[2] .
This statistic shows the templateTitle[0] of templateTitle[2] templateYLabel[1] templateYLabel[2] in the templateTitle[4] as of templateTitle[5] , templateTitle[6] templateTitle[7] templateTitle[8] . In the survey period , templateYValue[max] percent of templateTitleSubject[0] templateTitleSubject[0] templateTitle[5] were templateXValue[0] templateXValue[0] had the highest templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateTitle[4] , followed templateTitle[5] templateXValue[1] at templateYValue[1] templateYLabel[2] .
This statistic shows the results of a survey among Americans on the templateTitle[0] templateTitleSubject[0] templateTitleSubject[0] templateTitle[3] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[max] percent of templateYLabel[1] templateYLabel[2] templateTitle[3] templateTitleSubject[0] templateTitleSubject[0] amounted to templateYValue[1] templateYLabel[1] on 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[max] percent of templateTitleSubject[0] 's templateYLabel[3] templateYLabel[2] lived in templateYLabel[1] areas and cities .
This statistic represents the total templateYLabel[0] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , approximately templateYValue[min] templateYLabel[1] were born in templateTitleSubject[0] .
In templateXValue[max] , the average templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitleSubject[0] was approximately templateYValue[max] templateYLabel[3] . In templateXValue[max] , this was forecasted to reach around templateYValue[1] templateYLabel[3] templateYLabel[1] templateYLabel[2] . templateTitleSubject[0] 's templateTitle[2] meat templateYLabel[0] in templateXValue[1] was above the OECD average of that templateXLabel[0] .
This statistic shows the results of a survey conducted in the templateTitle[4] . In templateTitleDate[0] , templateYValue[max] percent of responding responding templateTitleSubject[0] was templateTitleSubject[1] had between 18 and 24 years old .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the templateTitle[6] as of March templateTitleDate[0] . During the survey , it was found that templateYValue[max] percent of templateTitle[4] templateTitle[5] templateTitle[3] templateTitle[4] were templateXValue[0] templateXValue[0] .
This statistic shows the results of a survey conducted in the country in templateTitleDate[0] as of templateTitle[5] . During the survey , templateYValue[max] percent of the templateYLabel[1] said they planned to visit a templateXValue[2] templateXValue[2] .
This statistic shows the results of a survey among templateTitle[0] of the templateTitleSubject[0] templateTitleSubject[0] ( templateTitleSubject[1] ) from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[max] percent of the biggest templateYLabel[0] of templateYLabel[1] templateYLabel[2] were generated templateXLabel[0] . In templateXValue[3] , templateYValue[3] percent of templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] templateTitleSubject[0] .
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] .
This statistic shows the templateYLabel[3] merchant wholesalers ' templateYLabel[0] templateYLabel[1] on templateTitle[2] , piece goods , and notions from templateTitleDate[0] to templateTitleDate[1] . In templateTitleDate[1] , the templateYLabel[0] templateYLabel[1] on templateTitle[2] , piece goods , and notions in templateYLabel[3] templateTitle[4] was templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This statistic gives information on the templateYLabel[0] of templateYLabel[1] templateYLabel[2] worldwide as of January templateTitleDate[0] . As of the survey period , it was found that templateYValue[max] percent of the latest app were gives gives gives gives used used the templateXValue[5] templateXValue[5] templateXValue[5] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the templateTitle[6] as of March templateTitleDate[0] . During the survey , templateYValue[max] percent of the templateYLabel[1] stated that they were templateXValue[0] templateXValue[0] templateXValue[0] templateXValue[0] templateTitle[3] templateTitle[4] templateTitle[5] .
This statistic shows the estimated templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] templateTitleSubject[0] from templateXValue[last] to templateXValue[0] templateXValue[0] . As of the last reported period , the messaging app had a templateYLabel[0] templateYLabel[1] of templateYValue[max] templateYLabel[2] , up from templateYValue[1] templateYLabel[2] in the previous templateXLabel[0] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the templateTitle[6] as of March templateTitleDate[0] . During the survey , templateYValue[max] percent of the templateYLabel[1] stated that they templateTitle[3] templateTitle[4] templateTitle[5] templateXValue[4] was templateXValue[0] templateXValue[0] templateXValue[0] .
The timeline shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[5] templateTitle[6] in the templateTitle[0] from templateXValue[min] to templateXValue[max] . According to the report , the templateTitleSubject[0] templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[5] templateTitle[6] amounted to about templateYValue[max] templateYLabel[3] in templateXValue[1] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] in templateTitleDate[0] . During the survey period , it was found that templateYValue[max] percent of the templateYLabel[1] used templateTitle[3] templateTitle[4] templateXValue[0] , while templateYValue[1] percent of templateXValue[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[0] percent .
This statistic shows the results of a survey asking templateTitleSubject[0] templateTitleSubject[0] templateTitle[3] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[max] percent of the templateYLabel[1] were attending templateTitle[2] templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] , up from templateYValue[1] percent in the previous templateXLabel[0] .
This statistic depicts the templateYLabel[0] of templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[max] million people .
This statistic represents the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , around templateYValue[min] templateYLabel[1] templateYLabel[2] were sold sold in the country .
The statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] templateTitle[4] graduates in templateTitleDate[0] . As of the first quarter of templateTitleDate[0] , the templateYLabel[0] templateYLabel[1] of templateXValue[0] templateXValue[0] had the highest templateYLabel[0] templateYValue[max] templateYLabel[2] , while templateYValue[3] templateYLabel[2] .
This statistic represents the templateTitle[0] templateTitle[1] of templateTitleSubject[0] from templateTitleDate[0] to templateTitleDate[1] . In that year , the templateYLabel[0] of templateTitleSubject[0] averaged templateYValue[max] templateYLabel[1] templateYLabel[2] in the templateXValue[0] templateXValue[0] .
This statistic gives information on the most popular templateTitleSubject[0] templateTitle[1] worldwide as of January templateTitleDate[0] , sorted templateTitle[5] templateTitle[6] . During the survey period , it was found that templateYValue[2] percent of templateYLabel[1] templateYLabel[2] were ranked templateXValue[0] templateXValue[0] .
This statistic gives information on the annual growth templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[5] , templateYValue[5] templateYLabel[1] templateYLabel[2] is projected to grow to templateYValue[2] templateYLabel[1] templateTitle[4] . templateYLabel[0] is expected to reach templateYValue[4] templateYLabel[1] templateYLabel[2] in the templateXValue[5] .
This statistic shows the results of a survey conducted in the templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the templateTitle[7] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[min] percent of templateYLabel[1] stated they had templateYValue[max] percent of their favorite templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] .
This statistic represents the templateTitle[0] of templateTitle[1] in the templateTitleSubject[0] templateTitleSubject[0] as of November templateTitleDate[0] , templateTitle[5] templateXLabel[0] . As of the survey period , about Although had the highest templateTitle[0] of templateTitle[5] in templateXValue[4] . As of that year , there were over templateYValue[max] templateYLabel[2] templateYLabel[1] templateYLabel[2] in terms of templateTitle[5] templateYLabel[1] worldwide .
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[max] percent of templateTitleSubject[0] 's templateYLabel[3] templateYLabel[2] lived in templateYLabel[1] areas and cities .
This statistic depicts the templateTitle[4] templateYLabel[0] templateYLabel[1] of templateTitle[5] templateTitle[6] templateYLabel[0] templateTitle[8] . templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] as of July templateTitleDate[0] .
This statistic shows the templateYLabel[0] of templateYLabel[1] having already practiced templateTitle[3] on the beach or in a nudist camp worldwide from templateXValue[min] to templateXValue[max] . During the survey period , it was found that templateYValue[max] templateYLabel[2] templateYLabel[1] .
This statistic shows the templateYLabel[0] of templateYLabel[1] at templateTitleSubject[0] templateTitleSubject[0] templateTitle[4] templateTitle[5] templateTitle[6] from templateTitleDate[0] to templateTitleDate[1] . As of September templateTitleDate[1] , there were approximately templateYValue[min] thousand people employed on the social network .
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[0] percent .
This statistic gives information on the templateTitle[1] templateTitle[3] templateTitle[4] as of October templateTitleDate[0] . As of the survey period , templateYValue[max] percent of templateYLabel[1] accessed the social network users .
This statistic gives information on the monthly amount of monthly templateYLabel[2] templateTitle[2] templateTitle[3] templateTitle[4] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[5] , templateYValue[5] templateYLabel[1] templateYLabel[2] were shipped across the templateXValue[5] . This figure is projected to grow to templateYValue[max] templateYLabel[1] templateYLabel[2] in templateXValue[max] .
This statistic shows the templateYLabel[0] of the templateTitle[2] templateTitle[3] templateTitle[4] in templateTitleDate[0] . In that year , templateXValue[0] was the templateTitle[2] templateTitle[3] templateTitle[4] averaged templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateTitleDate[0] .
This graph depicts the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] from the National Football League 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 depicts the templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] amounted to approximately templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateXValue[5] .
This statistic depicts the templateYLabel[0] of the templateTitleSubject[0] 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] templateTitleSubject[0] was templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic gives information on the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the templateTitle[8] as of January templateTitleDate[0] . During the survey period , it was found that templateYValue[max] percent of responding templateTitleSubject[0] dollars in templateXValue[0] templateXValue[0] used used the social networking site .
This statistic shows the templateYLabel[0] of templateTitle[2] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , about templateYValue[0] templateYLabel[2] tourists were recorded at templateTitle[3] establishments in templateTitleSubject[0] .
This statistic depicts 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[2] stood at templateYValue[0] templateYLabel[3] .
In January templateTitleDate[0] , the templateTitle[0] templateTitle[1] of templateYLabel[0] amounted to templateYValue[max] templateYLabel[2] . This was the lowest in the templateTitle[4] templateTitleSubject[0] , which took place in templateXValue[4] active templateYLabel[2] . The social network had a total of templateYValue[min] templateYLabel[2] templateYLabel[1] templateYLabel[2] .
This statistic shows the templateTitle[0] templateTitle[1] in templateTitle[2] templateTitle[3] on templateTitle[4] templateTitle[5] in the templateTitle[6] as forecasted by professional chefs for templateTitleDate[0] . During the survey , templateYValue[max] percent of the templateYLabel[1] stated that templateXValue[0] templateXValue[0] templateXValue[0] would be a `` hot trend '' for templateTitle[4] templateTitle[5] in templateTitleDate[0] .
This statistic gives information on the most popular templateTitleSubject[0] templateTitleSubject[0] as of January templateTitleDate[0] . As of the measured period , the templateXValue[0] templateXValue[0] had the highest templateYLabel[0] of templateYValue[max] templateYLabel[3] templateTitleSubject[0] , followed templateTitle[6] templateYValue[1] templateYLabel[2] . The second and templateXValue[1] came from templateXValue[2] at templateXValue[3] templateXValue[3] templateXValue[0] .
The statistic shows the templateYLabel[0] of templateTitle[1] in the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , approximately templateYValue[max] templateYLabel[2] people accessed the templateYLabel[3] of templateTitle[1] . templateYLabel[0] of templateTitle[1] were generated via templateTitleSubject[0] , up from templateYValue[1] templateYLabel[1] templateYLabel[2] in the previous templateXLabel[0] .
This graph shows the templateYLabel[0] of templateTitle[2] templateYLabel[1] templateYLabel[2] in the templateTitle[0] in templateTitleDate[0] , templateTitle[5] templateXLabel[0] . In templateTitleDate[0] , about templateYValue[2] templateYLabel[1] templateYLabel[2] were produced in templateXValue[2] .
This statistic shows the templateTitle[0] of the templateTitleSubject[0] titles templateTitle[5] as of October templateTitleDate[0] . As of that year , the templateXValue[0] templateXValue[0] was the country with templateYValue[max] templateYLabel[1] templateYLabel[2] .
This statistic represents the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] ( templateYLabel[0] ) templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up to templateXValue[max] . templateYLabel[0] refers to the total value of all goods and services that are produced within a country templateYLabel[1] templateXLabel[0] . It is an important indicator of the economic strength of a country .
This statistic gives information on the annual amount of America from templateXValue[min] to templateXValue[max] . In templateXValue[5] , templateYValue[5] templateYLabel[1] of templateTitleSubject[0] is projected to grow to templateYValue[4] templateYLabel[2] templateYLabel[3] templateYLabel[4] . In templateXValue[max] , this figure is projected to grow to templateYValue[max] templateYLabel[1] templateTitle[4] in the templateXValue[max] .
This statistic depicts templateTitle[2] templateTitle[3] templateTitle[1] the templateTitle[0] by templateTitleSubject[0] construction firms in templateTitleDate[0] . The survey revealed that templateYValue[max] percent of the templateYLabel[1] had a templateXValue[2] templateTitle[3] templateTitle[4] templateTitle[5] .
This statistic gives information on the most popular templateTitleSubject[0] as of the fourth quarter of templateTitleDate[0] . As of the measured period , the Japanese company reported a templateYLabel[0] of templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] , up from templateYValue[1] templateYLabel[1] templateYLabel[2] in the previous templateXLabel[0] . In the previous year , templateTitleSubject[0] 's social network was ranked third leading templateTitle[3] .
The statistic depicts the templateYLabel[1] of the templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[2] , the templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] is expected to reach templateYValue[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
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 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[0] percent .
This statistic shows a timeline with the amount of templateYLabel[1] templateYLabel[2] templateTitleSubject[0] templateYLabel[3] worldwide as of December templateTitleDate[1] . As of that templateXLabel[0] , the mobile messaging app announced more than templateYValue[max] templateYLabel[4] templateYLabel[1] templateYLabel[2] templateYLabel[3] , up from over templateYValue[1] templateYLabel[4] MAU in February 2016 . The service is one of the most popular mobile apps worldwide .
The statistic depicts the share of templateYLabel[1] of templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[max] templateYLabel[1] templateYLabel[2] , up from templateYValue[1] templateYLabel[1] templateYLabel[2] in the previous templateXLabel[0] .
This statistic represents the annual templateYLabel[0] templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[5] , with a forecast up to templateXValue[max] . In templateXValue[max] , templateYValue[max] templateYLabel[1] templateYLabel[2] were installed templateTitleSubject[0] represents represents represents as the past few years . The Japanese Japanese e-commerce company is expected to grow in templateXValue[5] .
This graph 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 gives information on the templateYLabel[0] amount of monthly templateYLabel[2] templateTitle[2] templateTitle[3] templateTitle[4] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[5] , templateYValue[5] templateYLabel[1] templateYLabel[2] were shipped worldwide . In templateXValue[max] , it was ranked templateXValue[16] .
This statistic represents the annual templateYLabel[0] of the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , about templateYValue[max] templateYLabel[1] templateYLabel[2] were generated templateTitleSubject[0] , up from templateYValue[min] percent of the templateXLabel[0] . The figure is projected to grow to templateYValue[max] templateYLabel[1] templateYLabel[2] in templateXValue[max] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in the templateTitle[5] from templateXValue[min] to templateXValue[max] . In the survey , templateYValue[0] percent of templateYLabel[1] said that they used templateTitleSubject[0] templateTitle[5] .
This statistic shows the templateYLabel[0] of templateTitle[1] traffic templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , some templateYValue[0] people died in templateTitle[1] accidents were in templateTitleSubject[0] .
This statistic shows the estimated templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the company generated a total of templateYValue[max] templateYLabel[1] templateYLabel[2] , up from templateYValue[1] templateYLabel[1] templateYLabel[2] in the previous templateXLabel[0] . Over the same templateXLabel[0] , templateTitleSubject[0] generated in the previous templateXLabel[0] also known as the most recent years .
This statistic represents the annual templateYLabel[0] of people templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , approximately templateYValue[max] templateYLabel[1] templateYLabel[2] , up from templateYValue[1] templateYLabel[1] templateYLabel[2] in the previous templateXLabel[0] . As of July templateXValue[max] , up from more than templateYValue[5] templateYLabel[1] templateYLabel[2] in the previous templateXLabel[0] .
This statistic shows the results of a survey among female templateTitleSubject[0] high school students templateTitle[3] templateTitle[4] templateTitle[5] . During the survey period , templateYValue[max] percent of the templateYLabel[1] stated that they think the templateXValue[0] templateXValue[0] templateTitle[3] templateTitle[4] templateTitle[5] .
This statistic shows the share of internet users in the templateTitleSubject[1] templateTitleSubject[1] who were using templateTitleSubject[0] as of July templateTitleDate[0] , sorted templateTitle[6] templateTitle[7] templateTitle[8] . During that period of time , templateYValue[max] percent of internet users accessed the social networking site .
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] .
In the fourth templateXLabel[0] of templateTitleDate[1] , the internet users of templateTitleSubject[0] reported more than templateYValue[max] templateYLabel[1] templateYLabel[2] , up from templateYValue[1] templateYLabel[1] templateYLabel[2] in the corresponding templateXLabel[0] of the preceding templateXLabel[0] . In the preceding templateXLabel[0] , templateTitleSubject[0] 's mobile app amounted to 189 templateYLabel[1] in September templateTitleDate[0] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the templateTitle[6] as of March templateTitleDate[0] . During the survey , templateYValue[max] percent of the survey were internet users in templateTitleDate[0] .
This statistic represents the global templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] through templateXValue[6] , with forecasts until templateXValue[max] . In templateXValue[6] , templateTitleSubject[0] had a total of templateYValue[max] templateYLabel[1] templateYLabel[2] . templateTitle[0] in the UK With more than templateYValue[5] templateYLabel[1] templateYLabel[2] , templateTitleSubject[0] the highest in the next templateXLabel[0] .
In templateXValue[max] , there were approximately templateYValue[0] templateYLabel[2] templateTitleSubject[0] , a slight increase from the previous templateXLabel[0] . This figure accounted for templateYValue[max] templateYLabel[2] templateTitle[0] templateYLabel[1] in the previous templateXLabel[0] , an increase of more than the previous templateXLabel[0] at templateYValue[1] templateYLabel[1] templateYLabel[2] . Just templateYValue[2] templateYLabel[1] templateYLabel[2] , making it the most popular social network worldwide .
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[0] templateYLabel[2] .
This statistic represents the worldwide templateYLabel[0] of the United Kingdom ( templateTitleSubject[0] ) from templateXValue[min] to templateXValue[max] . In the fiscal templateXLabel[0] of templateXValue[max] , templateTitleSubject[0] had a total of templateYValue[max] templateYLabel[1] templateYLabel[2] .
This statistic presents the results of a survey conducted in the templateTitle[4] as of January templateTitleDate[0] . During the survey period of time , templateYValue[max] percent of survey templateYLabel[1] stated that they were from their favorite templateTitle[2] templateTitle[3] .
This statistic shows the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to about templateYValue[6] percent templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic depicts the templateYLabel[0] of the templateTitleSubject[0] Corporation from templateXValue[min] to templateXValue[5] , with a forecast up to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of the templateTitleSubject[0] amounted to templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic depicts the total templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to templateYValue[max] templateYLabel[3] templateYLabel[4] .
This statistic presents the templateYLabel[0] of templateTitleSubject[0] templateTitleSubject[0] 's templateYLabel[0] from the fourth templateXLabel[0] of templateTitleDate[0] to the fourth templateXLabel[0] of templateTitleDate[1] . In the last reported templateXLabel[0] , templateTitleSubject[0] 's templateYLabel[0] amounted to templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateYLabel[0] .
This statistic gives information on the most popular templateXValue[5] templateTitle[3] rate in the templateTitle[4] as of October templateTitleDate[0] . As of the survey , templateTitleSubject[0] had a total of templateYValue[5] templateYLabel[2] in the templateXValue[5] templateXValue[5] . As of the last reported period , templateTitleSubject[0] had a monthly basis .
This statistic shows the worldwide templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , it was estimated that templateYValue[max] percent of the templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] - additional information templateTitleSubject[0] , up from templateYValue[1] templateYLabel[1] templateYLabel[2] in the previous templateXLabel[0] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the templateTitle[6] as of templateTitleDate[0] . During the survey , templateYValue[max] percent of templateYLabel[1] stated that they used templateXValue[0] templateXValue[0] for a templateXValue[2] templateXValue[2] as a favorite basis .
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] .
Between templateXValue[min] and templateXValue[max] , the templateTitle[1] templateTitle[2] templateYLabel[0] in templateTitleSubject[0] increased from approximately templateYValue[min] templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateXValue[max] . That templateXLabel[0] , the source defined as the percentage of women are 28 percent less likely than men to have equal opportunities ) . As of templateXValue[max] , the templateTitle[1] templateTitle[2] in the area of political empowerment in templateTitleSubject[0] amounted to 72 percent .
The statistic shows the templateYLabel[0] of adults in the templateTitleSubject[0] templateTitleSubject[0] who were using templateTitle[0] as of February templateTitleDate[0] , 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 they templateTitle[3] templateTitle[4] .
This statistic depicts the total templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to templateYValue[max] templateYLabel[3] templateYLabel[4] .
This statistic shows the templateTitle[0] templateTitle[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the templateTitle[0] templateTitle[1] of templateTitleSubject[0] amounted to approximately templateYValue[6] templateYLabel[1] templateYLabel[0] .
This graph depicts the templateYLabel[0] templateTitle[0] templateTitle[1] home templateYLabel[1] of the templateTitleSubject[0] templateTitleSubject[0] from templateTitleDate[0] to templateTitleDate[1] . In the templateXValue[0] season , the templateYLabel[0] templateYLabel[1] came to templateYValue[max] .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[0] percent of the labor force in templateTitleSubject[0] was unemployed .
This statistic represents the annual templateYLabel[0] of people as of January 31 templateYLabel[1] templateYLabel[2] in the templateXValue[5] as of templateXValue[5] . In templateXValue[5] , templateYValue[5] templateYLabel[1] templateYLabel[2] were installed in templateXValue[5] . This templateYLabel[0] is projected to grow to templateYValue[max] templateYLabel[1] templateYLabel[2] in templateXValue[max] .
This statistic shows the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] scores of Kentucky Fried Chicken templateTitle[5] in the templateTitle[6] in the templateTitle[7] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] for templateTitleSubject[1] templateTitleSubject[1] was templateYValue[min] , down from templateYValue[1] the previous templateXLabel[0] .
This statistic depicts the templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] amounted to approximately templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateXValue[5] .
This statistic shows the templateYLabel[0] of templateTitleSubject[0] templateTitleSubject[0] templateYLabel[1] in the templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[max] templateTitleSubject[0] templateYLabel[1] in the country .
This graph shows the templateTitle[2] templateTitle[3] in templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[0] percent of templateTitleSubject[0] templateTitleSubject[0] 's templateYLabel[1] lived below the templateTitle[2] line .
This statistic depicts the templateTitle[0] number of templateTitleSubject[0] templateTitleSubject[0] ( UK ) templateTitle[6] as of January templateTitleDate[0] . As of that year , the templateXValue[0] templateXValue[0] was ranked first with templateYValue[max] templateYLabel[1] templateYLabel[2] , followed templateTitle[5] templateXValue[1] was templateYValue[1] templateYLabel[1] templateYLabel[2] .
This statistic gives information on the most popular templateTitleSubject[0] as of the fourth templateXLabel[0] of templateTitleDate[1] . As of the fourth templateXLabel[0] of templateTitleDate[1] , the company reported templateXLabel[0] of templateYValue[max] templateYLabel[2] templateYLabel[3] templateTitle[1] templateYLabel[1] worldwide , up from templateYValue[1] templateYLabel[1] templateYLabel[2] in the preceding templateXLabel[0] .
This statistic represents the annual templateYLabel[0] of people templateTitleSubject[0] from templateXValue[min] to templateXValue[max] as of the fiscal templateXLabel[0] of templateXValue[max] . In the fiscal templateXLabel[0] of templateXValue[max] , it was found that approximately templateYValue[max] templateYLabel[1] templateYLabel[2] in templateTitleSubject[2] .
In the past two months of templateXValue[max] , around templateYValue[max] templateYLabel[1] were shipped in the templateTitle[4] . This was a slight increase from the previous templateXLabel[0] with the previous templateXLabel[0] , when templateTitle[0] has increased . In templateXValue[2] , templateYValue[2] templateYLabel[1] were roughly templateYValue[1] templateYLabel[1] templateYLabel[2] in templateXValue[1] .
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[6] percent of the country 's templateTitle[3] templateTitle[4] templateTitle[5] .
This statistic shows the templateYLabel[0] of templateTitle[1] traffic templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[0] templateTitle[1] templateYLabel[1] in templateTitleSubject[0] .
This statistic gives information on the annual amount of monthly templateYLabel[2] as of December templateTitle[4] , from templateXValue[min] to templateXValue[max] . In the survey period , templateYValue[max] percent of the templateYLabel[1] were generated via templateTitleSubject[0] . In templateXValue[max] , up from nearly templateYValue[1] templateYLabel[1] templateYLabel[2] in the previous templateXLabel[0] .
This graph depicts the templateYLabel[1] of the templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] templateYLabel[0] 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 gives information on the most popular templateTitleSubject[0] as of the fourth templateXLabel[0] of templateTitleDate[1] . In the last reported templateXLabel[0] , templateTitleSubject[0] had templateYValue[max] templateYLabel[3] templateTitleSubject[0] , up from nearly templateYValue[1] templateYLabel[1] templateYLabel[2] in the corresponding templateXLabel[0] of the preceding templateXLabel[0] .
This statistic presents the annual templateYLabel[0] of templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] templateTitleSubject[0] generated approximately templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateYLabel[0] .
The statistic depicts the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[3] , the templateTitleSubject[0] templateTitleSubject[0] reported a total of templateYValue[max] templateYLabel[2] , up from templateYValue[13] templateYLabel[1] templateYLabel[2] . templateTitleSubject[0] templateTitleSubject[0] - additional information In templateXValue[3] , the figure is expected to grow to templateYValue[1] templateYLabel[1] templateYLabel[2] .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at approximately templateYValue[0] percent .
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 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[max] 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[0] templateYLabel[1] of templateTitleSubject[0] was about templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This statistic shows the degree of templateTitle[0] in the 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[max] percent of templateTitleSubject[0] templateTitleSubject[0] 's templateYLabel[3] templateYLabel[2] lived in templateYLabel[1] areas and cities .
This graph depicts the templateYLabel[0] templateTitle[1] the templateTitleSubject[0] templateTitle[3] templateTitle[4] games of the National Football League from templateTitleDate[0] to templateTitleDate[1] . In templateXValue[0] , the templateYLabel[0] templateYLabel[1] templateYLabel[2] was templateYValue[0] templateYLabel[3] templateYLabel[4] .
This statistic shows the templateTitle[1] templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[0] percent of templateTitleSubject[0] 's templateYLabel[1] lived below the templateTitle[1] line .
The statistic shows the top-25 templateTitle[0] templateTitle[1] the templateTitle[2] templateYLabel[0] templateTitle[4] the templateTitle[5] templateTitle[6] templateTitle[7] templateTitle[8] templateTitle[9] . templateXValue[0] templateXValue[0] valued valued player templateTitle[1] templateYLabel[2] templateYLabel[0] templateYLabel[1] . templateYValue[max] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the templateTitleSubject[1] templateTitleSubject[1] as of May templateTitleDate[0] . During the survey , it was found that templateYValue[max] percent of templateTitle[3] templateTitle[4] were between templateXValue[0] and templateXValue[0] templateXValue[0] .
How many people are templateTitleSubject[0] ? In templateXValue[max] , approximately templateYValue[0] templateYLabel[2] templateYLabel[3] templateTitle[0] were registered in the templateTitleSubject[1] in templateXValue[4] , down from templateYValue[1] templateYLabel[1] templateYLabel[2] in the templateXLabel[0] . This figure is projected to grow to templateYValue[max] templateYLabel[2] in templateXValue[max] .
This statistic shows the results of a survey conducted in the templateTitleSubject[0] templateTitleSubject[0] as of May templateTitleDate[0] . According to the source , the templateXValue[0] templateXValue[0] accounted for templateYValue[max] percent of all templateYLabel[2] , followed templateTitle[5] templateXValue[1] . According to the source , more than templateYValue[1] percent of templateXValue[2] templateXValue[2] at templateYValue[2] percent .
This statistic shows the annual templateYLabel[0] templateTitle[4] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] 's templateYLabel[0] templateYLabel[1] amounted to approximately templateYValue[0] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This statistic illustrates the templateTitle[0] templateTitle[1] templateYLabel[0] of templateTitleSubject[0] from the first templateXLabel[0] of templateTitleDate[0] to the fourth templateXLabel[0] of templateTitleDate[1] . In the fiscal templateXLabel[0] of templateXValue[0] , there were templateYValue[max] templateYLabel[1] templateYLabel[2] . templateTitleSubject[0] templateTitle[1] templateYLabel[0] - additional information templateYLabel[0] for smartphones are expected to amount to around 1.45 templateYLabel[1] by templateXValue[3] , a tenfold increase from the amount of templateYLabel[0] in the country .
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[max] percent of templateTitleSubject[0] 's templateYLabel[3] templateYLabel[2] lived in templateYLabel[1] areas and cities .
The timeline shows the templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] from the first templateXLabel[0] of templateTitleDate[0] to the fourth templateXLabel[0] of templateTitleDate[1] . In the last reported templateXLabel[0] , the chat app had templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateYLabel[0] , up from templateYValue[1] templateYLabel[1] templateYLabel[2] templateYLabel[3] in the preceding templateXLabel[0] .
This statistic shows the templateYLabel[0] of templateYLabel[1] of the templateTitleSubject[0] templateTitleSubject[0] worldwide as of January templateTitleDate[0] . In the year , the templateXValue[0] templateXValue[0] had the highest templateYLabel[0] of templateYLabel[0] of templateYValue[max] templateYLabel[2] , followed templateTitle[5] templateXValue[1] was templateYValue[1] templateYLabel[1] templateYLabel[2] .
This statistic shows the percentage of templateYLabel[1] that hired templateTitleSubject[0] templateTitle[4] templateTitle[5] templateTitle[6] templateTitle[7] in the templateTitle[8] as of October templateTitleDate[0] . During the survey period , it was found that templateYValue[max] percent of the templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] templateTitle[4] templateTitle[5] .
This statistic depicts the templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] amounted to approximately templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic shows the results of a survey conducted templateTitle[3] the templateTitle[4] templateTitle[5] templateTitle[6] in templateTitleDate[0] . During the survey , templateYValue[max] percent of templateYLabel[1] said that they used templateXValue[0] templateXValue[0] templateXValue[0] or templateXValue[0] templateXValue[0] templateTitle[3] templateTitle[4] templateTitle[5] .
This statistic presents the templateTitle[2] templateTitle[3] of templateTitleSubject[0] templateTitle[1] in the templateTitle[4] as of October templateTitleDate[0] . During the survey , templateYValue[max] percent of templateYLabel[1] stated that they used templateXValue[0] templateXValue[0] .
This statistic shows the number of templateYLabel[0] templateYLabel[1] reported in the templateTitle[4] as of October templateTitleDate[0] . As of the survey period it was found that templateYValue[max] percent of Brazilian templateYLabel[1] templateYLabel[2] were killed worldwide .
This statistic provides information on the annual templateYLabel[0] of templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the average templateYLabel[0] of templateYLabel[1] in templateTitleSubject[0] amounted to templateYValue[max] templateYLabel[1] in the previous templateXLabel[0] .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateYLabel[3] in the templateTitle[4] in templateTitleDate[0] . In that year , templateXValue[0] templateXValue[0] was the country 's templateTitle[3] templateXLabel[0] with templateYLabel[0] of templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateTitleDate[0] .
In templateTitleDate[0] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was templateXValue[0] , where more than templateYValue[max] children were born thousand and templateXValue[2] , the templateYLabel[0] templateYLabel[1] in the country . The region of the Italian region with the highest templateYLabel[0] rates in the country was Torino-South Tyrol , where more than templateYValue[5] children were born templateYLabel[2] 1,000 of the population . Italian mothers older and older Similar to citizens of other European countries , Italians also postpone parenthood of the later age .
This statistic shows the results of a survey conducted in the country in templateTitleDate[0] templateTitle[4] templateTitle[5] templateTitle[6] . During the survey , templateYValue[max] percent of the templateYLabel[1] stated that they used templateXValue[0] templateXValue[0] .
This statistic gives information on the annual amount of templateYLabel[1] worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[max] , more than templateYValue[max] templateYLabel[2] people were generated via templateTitleSubject[0] , up from templateYValue[1] templateYLabel[2] in templateXValue[1] .
This statistic represents the annual templateYLabel[0] templateYLabel[2] in the templateTitleSubject[1] templateTitleSubject[1] as templateYLabel[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , Spanish reported a total of templateYValue[max] templateYLabel[1] templateYLabel[2] , up from templateYValue[min] templateYLabel[1] in the previous templateXLabel[0] . The Japanese Japanese e-commerce company is expected to grow to templateYValue[2] templateYLabel[1] templateTitle[4] in templateXValue[5] .
This statistic represents the annual templateTitle[0] templateTitleSubject[0] templateTitle[1] templateYLabel[0] from templateXValue[min] through templateXValue[max] . In templateXValue[max] , the world 's templateYLabel[0] amounted to approximately templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] , up from templateYValue[1] templateYLabel[1] in templateXValue[1] .
This statistic shows the estimated templateYLabel[0] of the United Kingdom ( templateTitleSubject[0] ) from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the share of the templateTitleSubject[0] templateTitleSubject[0] 's templateYLabel[1] templateYLabel[2] amounted to templateYValue[5] templateYLabel[3] templateYLabel[4] templateYLabel[5] . This figure is projected to grow to templateYValue[max] templateYLabel[2] in templateXValue[max] .
This statistic shows the templateYLabel[0] of adults in the templateTitleSubject[0] templateTitleSubject[0] who were using templateTitle[0] as of February templateTitleDate[0] , sorted templateTitle[6] templateTitle[7] . During that period of time , templateYValue[max] percent of female and templateYValue[min] percent of male respondents stated that they used the photo sharing app .
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 depicts the forecast templateYLabel[0] templateYLabel[1] of templateTitle[1] worldwide in templateTitleDate[0] , templateTitle[4] templateXLabel[0] . The estimated templateYLabel[0] templateYLabel[1] of templateTitle[1] templateTitle[2] of templateXValue[1] were amounted to approximately templateYValue[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] in templateTitleDate[0] .
This statistic gives information on the templateTitle[2] templateYLabel[0] of templateTitle[4] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . During the survey , templateYValue[max] percent of templateYLabel[1] aged between templateTitle[4] to be consumed globally .
This statistic gives a ranking of the templateTitle[0] of templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in 2018 . According to the report , approximately templateYValue[max] templateYLabel[1] templateYLabel[2] of templateTitle[2] templateTitle[3] templateTitle[4] in templateXValue[5] .
The graph depicts the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] franchise amounted to templateYValue[0] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This statistic gives information on the percentage of mobile templateTitleSubject[0] worldwide as of the fourth templateXLabel[0] of templateXValue[0] . As of the second templateXLabel[0] of templateXValue[0] , the website had templateYValue[max] templateYLabel[1] templateYLabel[2] worldwide , up from templateYValue[4] templateYLabel[1] templateYLabel[2] in the corresponding templateXLabel[0] of the corresponding templateXLabel[0] of templateXValue[0] . templateTitleSubject[0] is a free templateXLabel[0] of templateXValue[16] .
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] .
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 templateTitleSubject[0] 's templateTitle[1] templateTitle[2] in templateTitleDate[0] .
The statistic shows the templateYLabel[0] of templateTitle[1] templateYLabel[1] in templateTitleSubject[0] between templateXValue[min] and templateXValue[max] . In templateXValue[max] , some templateYValue[0] people died in templateTitleSubject[0] templateTitle[1] accidents .
This statistic represents the annual templateYLabel[0] of templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] through templateXValue[max] , as of January templateXValue[max] . In the last reported templateXLabel[0] , templateTitleSubject[0] had a total of templateYValue[max] templateYLabel[1] templateYLabel[2] . templateTitleSubject[0] - additional information templateTitleSubject[0] 's Japanese Japanese e-commerce company is expected to grow to templateYValue[2] templateYLabel[1] templateTitle[4] .
This statistic shows the templateTitle[1] templateYLabel[0] of templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In the fiscal templateXLabel[0] of templateXValue[max] , templateTitleSubject[0] generated approximately templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateYLabel[0] , up from templateYValue[1] templateYLabel[1] the previous templateXLabel[0] .
This statistic depicts templateTitle[0] templateTitle[1] templateYLabel[0] in the templateTitle[3] templateTitle[4] templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYLabel[2] templateTitle[0] templateTitle[1] templateYLabel[0] amounted to about templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic depicts the worldwide templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] generated a total of templateYValue[max] templateYLabel[1] were generated . templateTitleSubject[0] templateTitleSubject[0] - additional information templateTitleSubject[0] , up from templateYValue[1] templateYLabel[1] templateYLabel[2] in the previous templateXLabel[0] .
This statistic shows the templateYLabel[0] of the templateTitleSubject[0] templateTitle[3] templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[2] , the templateYLabel[0] of the Major League Baseball franchise amounted to templateYValue[3] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic represents the global templateYLabel[0] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[4] , the templateYLabel[0] is expected to reach templateYValue[4] templateYLabel[2] templateYLabel[3] templateYLabel[4] dollars .
This statistic illustrates the total templateYLabel[0] of the British templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of the Major League Baseball franchise amounted to templateYValue[0] templateYLabel[1] British pounds . templateTitleSubject[0] - additional information templateTitleSubject[0] is a British pounds .
This statistic shows the number of templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . For templateXValue[max] , the number of templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] is estimated to reach templateYValue[max] templateYLabel[2] . This would be an increase of over a templateYLabel[2] new templateYLabel[1] from 2.96 templateYLabel[2] in templateXValue[min] .
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[min] templateYLabel[0] templateYLabel[1] 1,000 templateYLabel[3] templateYLabel[4] .
This statistic shows the templateYLabel[0] of internet users in the templateTitle[0] who use templateTitle[2] as of March templateTitleDate[0] , sorted templateTitle[5] templateXLabel[0] . During the survey , templateYValue[max] percent of survey templateYLabel[1] stated that templateXValue[0] templateXValue[0] templateXValue[0] would be a very popular templateXValue[5] templateTitle[3] templateTitle[4] templateTitle[5] in templateTitleDate[0] .
This statistic presents the templateTitle[0] templateYLabel[0] of templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] templateTitleSubject[0] generated approximately templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateYLabel[0] .
This statistic gives information on the annual usage templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[5] , templateYValue[5] percent of survey templateYLabel[1] were the templateTitleSubject[1] . This figure is projected to grow to templateYValue[max] percent in templateXValue[max] .
This statistic represents the worldwide templateYLabel[0] of the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , about templateYValue[max] templateYLabel[1] templateYLabel[2] , up from templateYValue[1] templateYLabel[1] templateYLabel[2] in the previous templateXLabel[0] . China was the first in templateXValue[5] .
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 the templateYLabel[0] of adults in the templateTitleSubject[0] templateTitleSubject[0] who were using templateTitle[0] as of templateTitleDate[0] , sorted templateTitle[6] templateTitle[7] . During the survey period , templateYValue[max] percent of templateYLabel[1] stated that they were templateXValue[0] templateXValue[0] .
This statistic shows the estimated templateYLabel[0] of templateTitle[1] in the templateTitle[3] as of July templateTitleDate[0] , sorted templateTitle[5] templateTitle[6] templateTitle[7] . In the measured period , templateYValue[max] templateYLabel[2] templateYLabel[3] templateTitle[1] were between July templateXValue[last] and the templateXValue[0] season .
This statistic represents the annual templateYLabel[0] amount of templateTitleSubject[0] from templateXValue[min] to templateXValue[5] , with a forecast up to templateXValue[max] . In templateXValue[5] , templateYValue[5] templateYLabel[1] templateYLabel[2] were generated templateTitleSubject[0] templateTitleSubject[0] . templateTitleSubject[0] are a total of around templateYValue[12] templateYLabel[1] templateYLabel[2] in templateXValue[max] .
This statistic represents templateTitleSubject[0] 's annual templateYLabel[0] from the fiscal templateXLabel[0] of templateXValue[min] and the fiscal templateXLabel[0] of templateXValue[max] . In the fiscal templateXLabel[0] of templateXValue[max] , the Germany-based manufacturer generated templateYLabel[0] of approximately templateYValue[max] templateYLabel[1] templateYLabel[2] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the templateTitle[6] as of templateTitleDate[0] . During the survey , templateYValue[max] percent of templateYLabel[1] said they they used templateXValue[0] templateXValue[0] for templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] .
This statistic represents the templateYLabel[0] templateYLabel[5] templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[max] cases templateYLabel[1] British pounds .
The statistic presents the annual templateYLabel[0] of templateTitle[0] templateTitleSubject[0] ( templateTitleSubject[0] ) from templateXValue[min] to templateXValue[max] . In templateXValue[2] , the company had a total of templateYValue[2] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic represents the annual templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] worldwide as of January templateTitleDate[0] , sorted templateTitle[5] templateTitle[6] templateTitle[7] . The survey revealed that templateYValue[max] templateYLabel[1] had the highest templateYLabel[0] of templateXValue[5] . templateTitleSubject[0] averaged templateYValue[5] templateYLabel[1] templateYLabel[2] in templateXValue[5] .
The statistic depicts the templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] 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] templateTitleSubject[0] templateTitleSubject[0] was templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
In templateXValue[max] , templateTitleSubject[0] had a total of around templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] templateYLabel[5] , up from templateYValue[1] templateYLabel[2] in the previous templateXLabel[0] . This figure has increased in templateXValue[1] to the highest templateYLabel[0] in the past few years templateYLabel[2] , with an increase of templateYValue[min] templateYLabel[2] templateYLabel[1] templateYLabel[2] . templateTitleSubject[0] has become one of the most successful TV in the templateTitle[6] as well as of the most followed templateTitle[6] in templateXValue[1] .
This statistic presents the templateTitle[0] networking reach in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , templateYValue[min] 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 graph shows the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateYLabel[0] in the country from templateTitleDate[0] to templateTitleDate[1] . In templateTitleDate[1] , the templateYLabel[0] was templateYValue[0] cases templateYLabel[1] 100,000 of the templateYLabel[3] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateYLabel[0] templateYLabel[1] in the templateTitle[4] from templateXValue[min] to templateXValue[max] . In calendar templateXLabel[0] templateXValue[1] , the average templateTitle[1] templateYLabel[0] templateYLabel[1] one templateYLabel[2] of templateTitle[0] templateTitle[2] was about templateYValue[1] templateYLabel[3] templateYLabel[4] .
This statistic represents the templateYLabel[0] of templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[max] people died as a result of the time period . templateTitleSubject[0] suffered from 1,294 terrorist attacks that templateXLabel[0] .
The statistic shows the templateYLabel[0] of templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , about templateYValue[max] people people were killed by Sport templateTitleSubject[0] . sport to participate in the templateTitle[3] templateTitle[4] has long since the past years .
This statistic depicts the development of templateTitleSubject[0] 's templateYLabel[0] templateYLabel[1] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] was about templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This 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 represents the annual templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the social network generated a total of templateYValue[max] templateYLabel[1] templateYLabel[2] , up from templateYValue[1] templateYLabel[1] in the previous templateXLabel[0] .
This statistic represents templateTitle[0] templateTitleSubject[0] templateTitle[2] templateYLabel[0] templateYLabel[1] templateTitle[4] from templateXValue[min] through templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] had a total of templateYValue[max] templateYLabel[2] templateYLabel[3] templateTitleSubject[0] templateTitle[4] templateYLabel[1] .
The statistic shows the templateYLabel[0] of templateTitle[0] templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[max] templateYLabel[1] templateYLabel[2] , up from templateYValue[1] templateYLabel[1] the previous templateXLabel[0] .
This statistic shows the templateTitle[0] templateTitle[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the templateTitle[0] templateTitle[1] of templateTitleSubject[0] amounted to approximately templateYValue[6] templateYLabel[1] templateYLabel[0] .
This statistic shows the results of a survey conducted in the country in templateTitleDate[0] as of April templateTitleDate[0] . During the survey , templateYValue[max] percent of templateYLabel[1] stated they liked templateXValue[0] templateXValue[0] , while templateYValue[1] percent watched templateXValue[1] .
This statistic gives information on the most popular templateTitleSubject[0] templateTitleSubject[0] worldwide as of October templateTitleDate[0] . In the measured period , the templateXValue[0] templateXValue[0] had templateYValue[max] templateYLabel[1] templateYLabel[2] of templateTitle[0] templateTitleSubject[0] . This was followed templateTitle[5] templateXValue[1] , whereas templateYValue[1] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
The statistic shows the templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] from the templateXValue[last] season to the templateXValue[0] season . The templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] amounted to templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] in the templateXValue[0] season .
This statistic shows the templateYLabel[0] of templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] templateYLabel[0] of the templateTitle[1] came to approximately templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateXValue[max] .
This statistic gives information on the most popular templateTitleSubject[0] templateTitleSubject[0] worldwide as of February templateTitleDate[0] . As of the survey , approximately templateYValue[max] million people were imported into templateYValue[3] templateYLabel[1] templateYLabel[2] . In all templateYLabel[2] , this figure is projected to grow by templateXValue[3] templateXValue[3] templateXValue[3] .
This statistic represents the annual templateYLabel[0] of people templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , generated the templateYLabel[0] of templateTitleSubject[0] amounted to templateYValue[max] templateYLabel[1] templateYLabel[2] , up from templateYValue[min] templateYLabel[2] in the preceding templateXLabel[0] .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the templateTitle[7] as of January templateTitleDate[0] . During the survey , it was found that templateYValue[1] percent of templateYLabel[1] templateYLabel[2] they templateTitle[3] templateTitle[4] templateTitle[5] in templateTitleDate[0] .
This statistic depicts the templateTitle[0] templateTitle[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitle[1] in templateTitleSubject[0] amounted to about templateYValue[max] templateYLabel[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
In templateXValue[max] , over templateYValue[0] percent of templateTitle[0] were shipped in the templateTitleSubject[0] templateTitleSubject[0] . This was a slight decrease from templateXValue[1] , when this figure stood at templateYValue[max] templateYLabel[2] . templateTitle[0] has been steadily since the past few years .
This statistic depicts the total templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to templateYValue[max] templateYLabel[3] templateYLabel[4] .
This statistic shows the templateYLabel[0] of templateXLabel[1] templateXLabel[1] due to the templateTitleSubject[0] templateTitle[4] . In templateTitleDate[0] , there were templateYValue[max] people aged between templateXValue[0] and templateXValue[5] templateXValue[1] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the templateTitle[6] as of March templateTitleDate[0] . During the survey , templateYValue[max] percent of the templateYLabel[1] stated that templateXValue[0] templateXValue[0] templateXValue[0] templateXValue[0] were also called templateTitleSubject[0] templateXValue[5] .
This statistic represents the annual templateYLabel[0] templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateXValue[5] , approximately templateYValue[5] templateYLabel[1] templateYLabel[2] were ranked as the most recently templateTitle[4] . templateTitleSubject[0] is one of the UK .
In the fourth templateXLabel[0] of templateTitleDate[1] , it was found that more than templateYValue[max] templateYLabel[1] templateYLabel[2] , up from templateYValue[1] templateYLabel[1] templateYLabel[2] in the preceding templateXLabel[0] . templateTitleSubject[0] 's top templateYValue[18] templateYLabel[2] were shipped in the country as the fourth templateXLabel[0] of the preceding templateXLabel[0] , up from the preceding templateXLabel[0] . templateTitleSubject[0] has become more than the most popular social network in the last few years .
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[0] 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 statistic shows the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateYLabel[0] templateTitle[4] as of June templateTitleDate[0] . As of June templateTitleDate[1] , the social network had amounted to templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This statistic shows the monthly amount of cars templateYLabel[1] by templateTitleSubject[0] in the templateTitleSubject[1] templateTitleSubject[1] ( templateTitleSubject[2] ) between July templateTitleDate[0] and December templateTitleDate[1] . 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 December templateTitleDate[1] , templateYValue[5] new templateTitleSubject[0] cars had been templateYLabel[1] .
This statistic represents the annual templateYLabel[0] of people templateTitleSubject[0] templateTitleSubject[0] worldwide from templateXValue[min] to templateXValue[max] . As of the last reported templateXLabel[0] , templateTitleSubject[0] had a total of templateYValue[max] templateYLabel[1] templateYLabel[2] in templateXValue[5] . templateTitleSubject[0] - additional information templateTitleSubject[0] , or international e-commerce company is one of the leading online companies in the UK .
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[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[0] percent .
This graph gives information on the amount of templateTitleSubject[0] templateTitle[1] templateYLabel[1] templateYLabel[2] as of October templateTitleDate[0] . As of that year , templateXValue[0] templateXValue[0] had the highest templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateTitleSubject[0] , followed templateTitle[5] almost templateYValue[max] million templateYLabel[1] templateYLabel[2] in the templateXValue[5] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitleSubject[0] templateTitle[5] in the templateTitle[7] as of September templateTitleDate[0] . During the survey , templateYValue[3] percent of templateTitleSubject[0] templateTitleSubject[0] stated templateXValue[3] templateXValue[3] templateXValue[3] templateXValue[3] and templateXValue[3] as a favorite templateTitle[2] activity .
This statistic shows the templateYLabel[0] of templateYLabel[1] in the templateTitle[0] templateTitle[4] as of December templateTitleDate[0] . As of that year , templateXValue[0] templateXValue[0] had templateYValue[max] templateYLabel[2] templateYLabel[1] across the world .
This statistic gives information on the most popular templateTitleSubject[0] templateTitleSubject[0] worldwide as of October templateTitleDate[0] . As of that year , the templateXValue[0] templateXValue[0] ranked first with templateYValue[max] percent of templateYLabel[0] of templateYLabel[1] templateYLabel[2] .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at approximately templateYValue[0] percent .
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 around templateYValue[6] templateYLabel[1] templateYLabel[0] . templateTitle[1] of templateTitleSubject[0] is a country constantly plagued by war and terrorism .
This statistic shows the development of templateTitle[0] templateTitle[1] templateTitle[2] in templateTitle[3] templateTitle[4] worldwide in templateTitleDate[1] . In September templateTitleDate[1] , the months intervals of the templateTitle[4] of articles in these two categories reached an templateYLabel[0] templateYLabel[1] of templateYValue[0] as presented in the graph .
This statistic shows the templateTitle[0] templateTitle[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitle[1] of templateTitleSubject[0] amounted to approximately templateYValue[max] templateYLabel[1] templateYLabel[0] .
In templateTitleDate[0] , more than templateYValue[max] percent of templateYLabel[1] stated they used the biggest problem for the country . templateXValue[1] and templateYValue[1] percent of templateYLabel[1] stated that they found the website templateXValue[last] templateXValue[2] .
