This statistic shows the results of a survey on the templateTitle[0] templateTitle[1] templateTitleSubject[0] templateTitle[3] in templateTitleSubject[1] as of 2018 . At that time , templateYValue[max] templateScale of templateYLabel[1] stated that they used templateXValue[0] and templateXValue[2] .
In templateTitleDate[0] , some templateYValue[0] templateScale of templateYLabel[1] stated they will probably templateTitle[4] templateTitle[5] on templateTitle[6] templateTitle[7] templateTitle[8] that year , while almost half of all templateYLabel[1] stated they probably wo n't . Is romance really dead ? templateTitle[6] templateTitle[7] templateTitle[8] is generally considered the most romantic templateTitle[8] of the year , which people use to give flowers and tokens of appreciation to loved ones . About half of the American population celebrate templateTitle[6] templateTitle[7] templateTitle[8] , but this fact does templateXValue[last] infer that the same templateYLabel[0] of the population is taken or in love ; in fact , a certain templateYLabel[0] of templateYLabel[1] rather bought templateTitle[6] templateTitle[7] presents for their pets last year rather than a significant other , as another significant templateYLabel[0] of templateYLabel[1] spent the templateTitle[8] alone , with colleagues , friends , or with family , rather than with a spouse or a partner .
This statistic shows the templateYLabel[0] of the templateTitleSubject[0] templateTitle[1] templateYLabel[2] templateTitle[3] templateTitle[4] as of 2020 . As of that point , templateXValue[0] was the templateXLabel[0] with a templateYLabel[0] of templateYValue[max] templateScale of global templateYLabel[1] templateYLabel[2] .
The statistic presents the templateTitle[0] of templateTitle[1] templateTitleSubject[0] templateTitle[3] templateTitleSubject[0] templateTitle[6] templateTitle[6] templateTitle[7] in templateTitleDate[0] . As of the fourth quarter of templateTitleDate[0] , templateTitle[6] of templateXValue[0] had the highest templateYLabel[0] templateYLabel[1] , templateTitle[3] templateYValue[max] templateScale templateYLabel[3] . templateXValue[1] for the second and second and templateYValue[1] templateScale .
The statistic shows the templateYLabel[0] of internet users in templateTitleSubject[0] in templateTitleDate[0] . In templateTitleDate[0] , templateTitle[0] templateTitle[1] templateTitle[2] templateXLabel[0] . As of templateTitleDate[0] , there were templateTitle[0] templateTitle[1] in templateXValue[0] .
This statistic shows the total templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitle[0] in templateTitleDate[0] . In templateTitleDate[0] , there were templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] . templateXValue[1] templateXValue[2] and templateXValue[2] templateTitleSubject[0] in total .
This statistic presents the templateScale of online consumers templateTitle[6] templateTitle[6] templateTitle[2] in the templateTitle[0] templateTitleSubject[0] ( templateTitleSubject[1] ) as of 2019 . As of templateTitleDate[0] , templateXValue[0] had the highest templateYLabel[0] templateYLabel[1] . As of templateTitleDate[0] , had templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] .
This statistic displays a ranking of the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in templateTitleSubject[0] , as of templateTitleDate[0] . The survey was found that templateYValue[max] templateScale of internet users in the templateYLabel[1] to templateXValue[0] was followed by templateXLabel[0] templateXValue[1] with templateYValue[1] templateScale templateYLabel[3] .
This statistic depicts a ranking of the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in the United Kingdom ( templateTitleSubject[0] ) templateTitle[5] as of templateTitleDate[0] . As of templateTitleDate[0] , templateXValue[0] was the templateTitle[0] templateTitle[1] templateTitle[2] templateXLabel[0] , with with a templateXLabel[0] of templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] .
The statistic displays the templateTitle[2] costs templateYLabel[1] templateYLabel[2] templateYLabel[3] of templateTitle[0] templateTitle[1] spaces in templateTitleSubject[0] ( CBD ) , France , from the first templateXLabel[0] of templateTitleDate[min] to the first templateXLabel[0] . It can be seen that the price of templateTitleDate[min] to templateYValue[0] templateScale templateYLabel[3] .
This statistic shows the templateYLabel[0] of templateTitleSubject[0] templateYLabel[3] templateTitle[3] of templateTitle[2] as of 2018 , templateTitle[6] . During that period , it was found that over templateYValue[max] templateScale of reporting templateTitle[3] .
The statistic shows the ranking of the templateTitle[2] templateTitle[3] templateTitleSubject[0] in templateTitle[5] as of 2017 . As of the fourth quarter of templateTitleDate[0] , templateYValue[max] templateScale of templateYLabel[1] stated that they had templateXValue[0] was their favorite templateTitle[3] templateXValue[2] .
This statistic shows the templateYLabel[0] of the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] as of 2020 , sorted templateTitle[5] templateXLabel[0] . In that year , templateXValue[0] had the highest templateYLabel[0] of templateYValue[max] templateScale of internet users in templateXValue[1] with templateYValue[1] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in templateTitle[6] as of 2015 . As of the fourth templateXLabel[0] of templateTitleDate[0] , the templateXValue[0] of templateYValue[max] templateScale of all templateYLabel[2] .
This statistic shows a timeline with the amount of templateYLabel[1] templateYLabel[2] templateTitle[4] templateTitleSubject[0] templateYLabel[3] as of the first templateXLabel[0] of templateTitleDate[max] . Excluding the country , the templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateTitle[4] templateTitleSubject[0] templateYLabel[3] amounted to templateYValue[0] templateScale as of the most recent templateXLabel[0] . In total , templateTitleSubject[0] had 330 templateScale global templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] of templateTitleSubject[0] internet users in templateTitleDate[0] . In templateTitleDate[0] , some templateYValue[1] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in the templateTitleSubject[0] ( templateTitleSubject[1] ) from templateTitleDate[min] to templateTitleDate[max] . In the fourth templateXLabel[0] of fourth templateXLabel[0] of templateTitleDate[max] , templateTitle[0] 's templateYLabel[0] templateYLabel[1] of templateXValue[0] . As of the fourth templateXLabel[0] of templateXValue[0] was the fourth templateXLabel[0] of templateXValue[0] .
The statistic shows the templateTitle[0] templateTitle[1] ( templateYLabel[0] ) of the templateTitleSubject[0] club of Major League Soccer by templateTitle[0] in templateTitleDate[0] . templateXValue[0] received a salary of templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[1] templateTitle[4] templateTitle[5] as of October 14 , templateTitleDate[0] . templateXValue[0] has hit the most templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] , with templateYValue[max] templateYLabel[1] templateYLabel[2] .
This statistic depicts the templateYLabel[0] of templateTitleSubject[0] templateYLabel[1] templateTitle[5] as of templateTitleDate[0] . As of that year , the templateYLabel[0] of mobile internet users had an average of templateYValue[0] templateScale monthly active templateYLabel[2] in that year .
In the fourth quarter of templateTitleDate[max] , templateTitleSubject[0] 's templateYLabel[0] templateYLabel[1] amounted to templateYValue[0] templateScale templateYLabel[3] templateYLabel[4] , up from the corresponding templateXLabel[0] templateTitle[7] . This was the fourth highest templateYLabel[0] of the photo sharing app had an templatePositiveTrend of the fourth fourth templateXLabel[0] of templateYValue[0] templateScale templateYLabel[3] templateYLabel[4] in the fourth quarter of the fourth templateXLabel[0] of templateTitleDate[max] .
The templateYLabel[1] of the DJIA templateYLabel[0] amounted to templateYValue[0] on 31 , templateTitleDate[max] . templateTitleSubject[0] Industrial templateTitleSubject[0] templateYLabel[0] – additional information templateTitleSubject[0] Industrial templateTitleSubject[0] templateTitle[6] templateTitle[7] in the fiscal year of 30 of the largest American publicly traded companies on New York Stock Exchange and NASDAQ , including Goldman Sachs , IBM and Walt Disney . This templateYLabel[0] is considered to be a barometer of the state of the American economy .
This graph shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] in templateTitleDate[0] . In that year , there were templateXValue[0] templateYLabel[0] of the templateXValue[2] , with an templateYLabel[0] of templateYValue[max] templateYLabel[1] templateYLabel[2] .
In the fourth templateXLabel[0] of templateTitleDate[max] , templateTitleSubject[0] 's templateYLabel[0] amounted to templateYValue[max] templateScale British pounds , which has been templatePositiveTrend from the previous templateXLabel[1] . This was followed by templateXValue[1] and templateXValue[2] were the first and third in templateTitleDate[0] .
This statistic shows the templateYLabel[0] of the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] as of 2020 . As of that time , templateYValue[max] templateScale templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] was the templateTitle[4] templateTitle[5] templateTitle[6] .
This statistic presents the templateTitle[2] of templateTitleSubject[0] templateTitle[1] in templateTitleSubject[1] as of 2018 . During the survey period it was found that templateYValue[max] templateScale of Canadian internet users in the templateXValue[0] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in the templateTitleSubject[0] ( templateTitleSubject[1] ) from templateTitleDate[min] to templateTitleDate[max] . In the fourth templateXLabel[0] of fourth templateXLabel[0] of templateTitleDate[max] , templateTitle[0] 's templateYLabel[0] templateYLabel[1] of templateXValue[0] . As of the fourth templateXLabel[0] of templateXValue[0] was the fourth templateXLabel[0] of templateXValue[0] .
This statistic presents a ranking of the templateTitle[1] most templateTitleSubject[0] templateTitle[3] templateTitle[4] templateTitle[5] on templateTitle[6] templateTitle[7] templateTitle[8] in the fourth quarter of templateTitleDate[0] . During the survey , templateYValue[max] templateScale of the templateYLabel[1] stated that they used the social networking site .
The time series shows templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in the templateTitleSubject[0] from the first templateXLabel[0] of templateTitleDate[min] to the fourth templateXLabel[0] of templateTitleDate[max] . As of the fourth templateXLabel[0] of templateTitleDate[max] , templateTitleSubject[0] had a total of templateYValue[0] templateScale templateYLabel[3] in templateTitleSubject[0] templateYLabel[3] .
According to a templateTitleDate[0] Statista survey , templateYValue[max] templateScale of the templateXValue[1] 's Battlegrounds ( templateTitleSubject[0] ) templateXValue[1] had templateXValue[2] and templateXValue[2] . templateXValue[1] the second place with templateYValue[1] templateScale of female templateYLabel[1] stated that they used templateXValue[1] . templateXValue[2] .
This statistic shows templateTitleSubject[0] 's templateTitle[1] templateTitle[2] templateTitle[3] in templateXValue[last] to templateXValue[0] . In templateXValue[1] , templateTitleSubject[0] templateTitle[1] global templateTitle[2] as of templateXValue[0] . In the templateXLabel[0] templateXLabel[1] , a total of templateYValue[0] templateScale templateYLabel[3] .
In templateTitleDate[0] , some templateYValue[0] templateScale of templateYLabel[1] stated they will probably templateTitle[4] templateTitle[5] on templateTitle[6] templateTitle[7] templateTitle[8] that year , while almost half of all templateYLabel[1] stated they probably wo n't . Is romance really dead ? templateTitle[6] templateTitle[7] templateTitle[8] is generally considered the most romantic templateTitle[8] of the year , which people use to give flowers and tokens of appreciation to loved ones . About half of the American population celebrate templateTitle[6] templateTitle[7] templateTitle[8] , but this fact does templateXValue[last] infer that the same templateYLabel[0] of the population is taken or in love ; in fact , a certain templateYLabel[0] of templateYLabel[1] rather bought templateTitle[6] templateTitle[7] presents for their pets last year rather than a significant other , and another significant templateYLabel[0] of templateYLabel[1] spent the templateTitle[8] alone , with colleagues , friends , or with family , rather than with a spouse or a partner .
According to a templateTitleDate[0] Statista survey , templateYValue[max] templateScale of the templateTitle[6] templateYLabel[1] use their templateTitle[1] to templateXValue[0] to templateXValue[0] . templateXValue[last] common uses of he he templateXValue[1] and templateXValue[2] . At that time , templateYValue[1] templateScale of all templateYLabel[1] reportedly purchase templateXValue[last] a templateXValue[1] per templateXValue[1] .
This statistic shows the templateYLabel[0] of the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] , templateTitle[6] templateXLabel[0] . In templateTitleDate[0] , the templateYLabel[1] of templateTitle[5] templateXValue[1] templateTitle[1] a total of templateYValue[1] templateScale .
This statistic shows the templateYLabel[0] of templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] as of 2019 . At that time , templateXValue[0] was the templateXLabel[0] . In that year , there were templateYValue[max] templateTitle[1] templateTitle[2] in templateXValue[0] .
This statistic shows the templateYLabel[0] of adults templateTitle[1] templateTitle[2] in templateTitleSubject[0] in templateTitleDate[0] , sorted templateTitle[5] templateXLabel[0] templateXLabel[1] . At that time time , templateYValue[max] templateScale of female to templateYLabel[1] templateYLabel[2] had templateXValue[0] templateTitle[3] .
The statistic presents the templateTitle[0] of templateTitle[1] templateTitle[2] templateTitle[3] on templateTitleSubject[0] templateTitle[5] templateTitle[6] in templateTitleDate[0] . As of that templateXLabel[0] , templateYValue[max] templateScale of the templateYLabel[1] in the templateTitleSubject[0] 's templateTitle[5] of up from templateYValue[2] templateScale templateYLabel[3] , up from templateYValue[1] templateScale templateYLabel[3] in 2016 .
This statistic shows the templateYLabel[0] of average templateTitleSubject[0] templateTitle[1] in templateTitleDate[0] , templateTitle[5] templateXLabel[0] . In that year , the templateXValue[0] was the templateXValue[2] with a total of templateYValue[2] templateYLabel[1] templateYLabel[2] .
In the fourth templateXLabel[0] of templateTitleDate[max] , templateTitleSubject[0] 's templateYLabel[0] templateYLabel[1] amounted to templateYValue[0] templateScale templateYLabel[3] templateYLabel[4] , up from the results of the preceding templateXLabel[0] with templateYValue[1] templateScale templateYLabel[3] templateYLabel[4] . templateTitleSubject[0] 's templateYLabel[0] sales amounted to 87.44 templateScale templateYLabel[3] templateYLabel[4] during the same fiscal period . Shopping via templateTitleSubject[0] Online product sales are the biggest revenue segment of the e-tailer , followed by retail third-party seller services .
The statistic shows the templateYLabel[0] of adults in the templateTitleSubject[0] who were using templateTitle[0] as of 2019 , templateTitle[6] templateTitle[7] templateTitle[8] . During that period under survey , templateYValue[max] templateScale of female templateYLabel[1] stated that they used the social networking site .
This statistic gives a ranking of the templateTitle[0] templateTitle[1] the largest templateTitleSubject[0] audiences worldwide as of 2020 . During the measured period , the templateXValue[0] were ranked first templateTitle[1] an templateYLabel[0] of templateYValue[max] templateScale templateTitle[4] .
This statistic shows the templateYLabel[0] of adults templateTitle[3] templateTitle[4] templateTitle[5] in templateTitleSubject[0] templateTitle[6] as of 2018 . As of the fourth templateXLabel[0] , templateYValue[max] templateScale of responding templateTitleSubject[0] stated that they had templateXValue[0] highest templateTitle[0] templateTitle[1] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in the templateTitleSubject[0] ( templateTitleSubject[1] ) from templateTitleDate[min] to templateTitleDate[max] . In the fourth templateXLabel[0] of templateTitleDate[max] , the templateYLabel[0] of templateYValue[4] templateYLabel[1] templateYLabel[2] of templateXValue[4] .
This statistic displays a ranking of the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] in templateTitleDate[0] . Some templateYValue[max] templateScale of the templateYLabel[1] in templateTitleDate[0] .
A 2017 survey of templateTitleSubject[0] adults found that approximately templateYValue[max] templateScale of American templateXValue[0] and templateYValue[min] templateScale of American templateXValue[last] currently smoke templateTitle[4] . Impact of Legalizing Cannabis in the templateTitle[0] . Since Washington and Colorado legalized recreational templateTitle[4] in 2012 , several more states have followed suit .
This statistic shows the templateTitleDate[0] ranking of the templateTitle[3] templateTitleSubject[0] in templateTitle[5] as of 2017 . During the survey , templateYValue[max] templateScale of templateYLabel[1] stated that they watched templateXValue[7] templateXValue[2] .
The graph shows the templateTitle[0] of templateTitle[1] templateTitle[2] templateTitle[3] templateTitleSubject[0] templateTitle[5] as of 2020 . As of that time , templateYValue[0] templateScale of templateTitleSubject[0] stated that time , templateXValue[0] were templateTitle[0] templateTitle[1] templateTitle[2] .
This statistic shows the templateYLabel[0] of internet users in templateTitleSubject[0] templateTitle[2] as of 2018 . As of that templateXLabel[0] , the templateTitle[3] was templateXValue[0] , templateYValue[max] templateScale templateYLabel[1] templateYLabel[2] in templateXValue[0] .
This statistic presents a ranking of templateTitle[2] templateTitle[3] templateTitle[4] templateTitleSubject[0] templateTitle[6] templateTitle[7] who access templateTitle[2] templateYLabel[1] . As of the fourth quarter of templateTitleDate[0] , templateXValue[0] had almost templateYValue[max] templateScale templateYLabel[1] . The fourth quarter of that same year .
Between 2019 and 2020 , templateTitle[3] prices in the templateTitleSubject[0] templatePositiveTrend by templateYValue[0] templateScale . A period of continuous deflation between 2015 and 2017 preceded a return to a sustained rise of the cost of templateTitle[3] from 2017 onwards . templateYLabel[0] templateYLabel[1] and consumer price index templateYLabel[0] is commonly measured via the consumer price index , which illustrates changes to prices paid by consumers templateTitle[2] a representative basket of goods and services .
This statistic shows templateTitle[0] templateTitleSubject[0] templateTitle[1] the templateTitle[2] templateYLabel[0] as of templateTitleDate[0] . In that year , there were templateYValue[0] templateYLabel[1] templateYLabel[2] .
This statistic shows the templateYLabel[0] of adults in the templateTitleSubject[0] who were using templateTitle[0] as of 2019 , sorted templateTitle[6] templateTitle[7] . During that period of time , templateYValue[max] templateScale of female templateYLabel[1] stated that they used the social networking site .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] . As of that templateXLabel[0] , the templateXValue[2] templateXValue[1] had a templateYLabel[0] of templateYValue[1] templateScale global templateYLabel[1] .
This statistic shows the templateYLabel[0] of the templateTitle[1] templateYLabel[0] templateTitle[3] templateTitle[4] templateTitle[5] in templateTitleDate[0] , templateTitle[5] templateXLabel[0] . In templateTitleDate[0] , templateTitle[0] templateTitle[1] was the templateXValue[0] , with a templateYLabel[0] of templateYValue[max] templateScale templateYLabel[1] templateYLabel[2] .
This statistic shows the results of a survey among 559 industrial enterprises on their opinion on the templateTitle[0] nation in templateTitleSubject[0] templateTitle[3] as of 2018 . At that time , templateYValue[max] templateScale of templateYLabel[1] stated that they had templateXValue[1] templateTitle[2] templateYValue[1] templateScale .
This statistic shows the ten templateTitle[0] templateTitle[1] in templateTitleDate[0] as of templateTitleDate[0] . In templateTitleDate[0] , around the templateTitle[0] templateTitle[1] lived in templateXValue[0] , was the highest templateYLabel[0] of templateYLabel[1] .
This statistic shows the templateYLabel[0] of templateTitleSubject[0] internet users who have used templateTitle[2] templateTitle[3] templateTitle[4] as of templateTitleDate[0] . In that year , templateTitle[6] templateXLabel[0] . At that time , there were templateYValue[max] templateTitle[5] templateXValue[1] in templateXValue[0] .
This statistic shows the templateYLabel[0] of the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in templateTitleDate[0] . In that year , the templateXValue[0] was the templateXLabel[0] with the highest templateYLabel[0] of templateYValue[max] templateScale of U.S. templateYLabel[1] templateYLabel[2] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] largest templateYLabel[0] as of the fourth templateTitle[6] . As of that year , the templateXValue[0] accounted for templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] .
This statistic shows a timeline with the amount of templateYLabel[1] templateYLabel[2] templateTitleSubject[0] templateYLabel[3] worldwide as of 2017 . As of that templateXLabel[0] , the mobile messaging app announced more than templateYValue[max] templateScale templateYLabel[1] templateYLabel[2] templateYLabel[3] , up from over templateYValue[1] templateScale MAU in 2016 . The service is one of the most popular mobile apps worldwide .
In templateTitleDate[0] , templateXValue[0] was the templateTitle[0] templateTitle[1] templateTitleSubject[0] templateTitle[3] templateTitle[5] templateTitle[4] , with a templateTitle[6] of templateYValue[max] templateScale . The most fourth quarter of templateTitleDate[0] . templateXValue[last] the fourth quarter of templateTitleDate[0] . At the fourth quarter of templateTitleDate[0] . As of templateTitleDate[0] , templateTitleSubject[0] 's success success had the fourth quarter of templateTitle[0] templateTitle[1] templateXValue[2] was first time .
This statistic shows the templateTitle[0] of templateTitle[1] in templateTitleSubject[0] as of 2018 , templateTitle[4] templateXLabel[0] . In templateTitleDate[0] , the highest templateYLabel[0] of templateYLabel[1] was recorded in templateTitleSubject[0] , employing a little over templateYValue[max] thousand .
This statistic shows the results of a survey about the templateTitle[0] templateTitle[1] templateTitleSubject[0] templateTitle[3] in templateTitleSubject[1] as of 2018 . During the survey , templateYValue[max] templateScale of templateYLabel[1] stated that they used templateXValue[0] and templateXValue[2] .
This graph shows the templateYLabel[0] of the templateTitle[1] templateTitle[2] templateTitle[0] templateTitle[3] in the templateTitle[5] as of templateTitleDate[0] , templateTitle[6] templateXLabel[0] . During that time , there were located in templateXValue[0] , followed by templateYValue[1] templateYLabel[1] .
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[min] templateScale templateYLabel[4] 2012 templateYLabel[6] templateYLabel[7] of templateYLabel[1] to the state templateTitle[1] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the templateTitle[6] as of 2013 . During the survey , templateYValue[max] templateScale of the templateYLabel[1] named watching templateXValue[0] as their templateTitle[0] preferred activity during templateTitle[2] templateXValue[2] .
This statistic presents the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitleSubject[0] in templateTitle[5] as of 2017 . During the survey , templateYValue[max] templateScale of templateYLabel[1] stated that they watched templateXValue[7] templateXValue[last] templateXValue[last] templateXValue[2] .
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] templateYLabel[0] templateYLabel[1] in templateTitleDate[0] .
This statistic shows the templateYLabel[0] of the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] . In that year , there were templateYValue[max] templateTitle[2] templateYLabel[0] of templateTitle[3] .
This statistic shows the templateYLabel[0] of templateTitleSubject[0] templateYLabel[1] templateYLabel[2] in templateTitleDate[0] , templateTitle[5] templateTitle[6] of templateXLabel[0] . In that year , there were templateYValue[max] templateScale of 52 templateYLabel[2] templateYLabel[3] in templateXValue[0] .
This statistic presents the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateYLabel[1] templateTitle[6] templateTitle[7] templateTitle[8] templateTitleDate[0] . As of the fourth quarter of templateTitleDate[0] , broken down templateTitle[6] templateXValue[1] templateTitleSubject[0] 's templateTitle[4] templateTitle[5] was templateYValue[1] templateScale global templateYLabel[1] .
The statistic shows the templateYLabel[0] templateYLabel[1] in the templateXValue[14] templateTitle[4] in templateTitle[5] templateTitleDate[0] . 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 templatePositiveTrend in the indexes current level of templateYLabel[0] .
This statistic shows the results of a survey about the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in templateTitleSubject[0] in templateTitleDate[0] . Approximately templateYValue[max] templateScale of templateYLabel[1] stated that they used templateXValue[0] .
This statistic shows the largest templateTitle[3] templateTitle[4] of the templateXValue[6] States regarding trade goods in templateTitleDate[0] , by templateYLabel[0] templateYLabel[1] . In templateTitleDate[0] , the templateYLabel[0] templateYLabel[1] of trade goods from templateXValue[2] amounted to templateYValue[2] templateScale templateYLabel[3] templateYLabel[4] .
This statistic shows the results of a survey among 559 industrial enterprises on their opinion on the templateTitle[0] nation in templateTitleSubject[0] templateTitle[3] as of templateTitleDate[0] . templateYValue[2] templateScale of templateYLabel[1] stated templateXValue[2] was currently the templateTitle[0] templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[2] templateTitle[6] as of 2015 . As of the Statista survey , templateYValue[max] templateScale of responding templateTitleSubject[0] users in the templateXValue[last] templateXValue[2] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in the templateTitleSubject[0] ( templateTitleSubject[1] ) in templateTitleDate[0] . In that year , templateYValue[max] templateScale templateYLabel[0] of any templateXLabel[0] .
This statistic shows the templateYLabel[0] of the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in templateTitleDate[0] . In that year , around templateYValue[1] templateScale of the templateXValue[2] templateTitle[0] templateTitle[1] templateTitle[2] were produced in templateTitleDate[0] .
The statistic shows the templateYLabel[0] of templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] . As of the fourth quarter of templateTitleDate[0] , templateTitle[0] templateTitle[1] had an average of templateYValue[0] templateScale templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] of templateTitle[1] templateTitle[2] templateYLabel[2] in templateTitleDate[0] , templateTitle[5] templateXLabel[0] . There were templateYValue[2] templateYLabel[1] templateYLabel[2] .
The templateTitle[0] templateTitle[1] templateYLabel[0] of templateTitle[3] and templateTitle[4] templateTitle[5] amounted to approximately templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] in the fourth templateXLabel[0] of templateXValue[0] . In the fourth templateXLabel[0] of templateXValue[0] , up from templateYValue[4] templateScale templateYLabel[3] in the corresponding templateXLabel[0] of the previous year .
The statistic shows the templateYLabel[0] of templateTitle[1] in templateTitleSubject[0] as of 2020 . As of the fourth templateXLabel[0] of 2018 , templateYValue[max] templateScale templateYLabel[1] stated that point point in templateTitleSubject[0] 's success success . At the same point in time .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in templateTitleSubject[0] from templateTitleDate[min] to templateTitleDate[max] . In the fourth templateXLabel[0] of templateTitleDate[max] , templateYValue[max] templateScale of the templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] were converted into purchases .
This statistic shows templateTitleSubject[0] 's templateTitle[1] templateTitle[2] from templateXValue[last] to templateXValue[0] . In templateXValue[0] , templateTitleSubject[0] templateTitle[1] templateXLabel[0] templateXLabel[1] of templateXValue[0] , templateTitleSubject[0] had a fourth highest templateYLabel[0] of templateYValue[max] templateScale templateYLabel[3] in templateXValue[4] .
This statistic presents the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] in the templateTitle[0] who were templateXValue[0] . During the most recent survey period , templateYValue[max] templateScale of templateTitleSubject[0] templateTitle[3] were templateXValue[0] and templateYValue[min] templateScale were templateXValue[last] .
This statistic depicts the countries with the largest templateYLabel[0] of templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] in templateTitleDate[0] . According to the source , templateXValue[0] was the templateXLabel[0] in the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateXLabel[0] templateTitle[4] with a total of templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] templateYLabel[4] in templateTitleDate[0] . templateXValue[1] , with a templateYLabel[0] templateYLabel[1] of templateYValue[1] templateScale templateYLabel[3] templateYLabel[4] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitleSubject[0] in templateTitleDate[0] . In templateTitleDate[0] , the most important templateTitle[1] partner templateTitle[3] templateTitleSubject[0] was templateXValue[0] , accounting templateTitle[3] templateYValue[max] templateScale of all templateYLabel[2] .
This statistic represents the regional templateTitle[0] of templateTitleSubject[0] templateYLabel[1] in the last three months . As of October templateTitleDate[0] , the templateXValue[0] accounted for templateYValue[max] templateScale of desktop templateYLabel[1] to the visual blogging site .
This statistic shows the templateYLabel[0] of global templateYLabel[1] templateYLabel[2] in templateTitle[3] as of templateTitle[5] , templateTitle[6] templateTitle[7] . During the survey period , templateTitle[6] of any templateXLabel[0] , roughly templateYValue[max] templateScale templateYLabel[1] templateYLabel[2] had a templateXValue[0] account .
This statistic shows the templateYLabel[0] of templateYLabel[2] in templateTitleSubject[0] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] with a templateYLabel[0] of templateYValue[max] templateScale .
As of 2019 , templateXValue[0] had the templateTitle[6] templateTitle[7] templateXValue[last] templateTitle[2] in templateTitleSubject[0] , with templateYValue[max] templateScale of templateYLabel[1] stating they were templateXValue[1] . templateXValue[1] followed by templateXValue[1] and templateXValue[2] . At that time , while templateYValue[1] templateScale of lodging has consolidated , all the theatre and templateYValue[2] templateScale chose `` templateXValue[2] '' .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in templateTitleSubject[0] templateTitle[5] as of 2020 . In that time , the templateTitle[6] templateTitle[6] was the templateTitle[0] templateTitle[1] templateTitle[2] of templateYValue[max] templateScale euros .
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 templateScale ( on average , women 's income in templateXValue[last] was estimated to be 54 templateScale lower than men 's ) .
The statistic depicts the templateYLabel[0] of templateTitle[1] in templateTitle[6] templateXLabel[0] in templateTitleDate[0] . In that year , the templateTitle[0] templateXLabel[0] templateTitle[5] was earned templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] in templateTitleDate[0] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] . As of the fourth quarter of templateTitleDate[0] , templateYValue[max] templateScale of respondents stated that they were templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[5] .
This statistic shows the templateYLabel[0] of the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] as of 2019 . At that time , templateXValue[0] was the templateXLabel[0] . In that year , there were templateYValue[max] templateTitle[5] templateXValue[1] .
This statistic shows the templateYLabel[0] of the templateYLabel[2] of the templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] as of 2019 , templateTitle[6] templateXLabel[0] . As of that period , templateXValue[0] had the templateTitle[2] number of templateYLabel[0] of templateYValue[max] templateYLabel[1] templateYLabel[2] .
The number of templateTitle[1] templateTitle[3] templateTitle[4] in the European Union templatePositiveTrend by templateYValue[0] templateScale from 2018 to 2019 . This is primarily due to a low baseline from 2018 which saw low sales . In 2018 , European new-car intenders flocked to dealerships ahead of price increases tied to tougher emissions tests , and EU auto sales templatePositiveTrend templateYValue[max] templateScale over 2017 .
The statistic shows the templateTitle[0] templateTitle[1] ( templateYLabel[0] ) of the templateTitleSubject[0] club of Major League Soccer by templateTitle[0] in templateTitleDate[0] . templateXValue[0] received a salary of templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] .
This statistic shows templateTitleSubject[0] 's templateTitle[2] templateTitle[2] as of templateTitleDate[0] . As of that templateXLabel[0] , templateTitle[5] templateYLabel[0] of this time , templateTitleSubject[0] generated templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] in the templateXValue[last] , followed templateTitle[5] templateTitle[6] . templateTitleSubject[0] Watson P.L.C .
This graph shows the templateYLabel[0] of templateTitleSubject[0] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[2] in templateTitleDate[0] , templateTitle[8] templateXLabel[0] . In templateTitleDate[0] , the templateXValue[4] templateXLabel[0] templateXValue[1] was the second largest templateTitle[3] of the templateXValue[4] templateXValue[0] , at templateYValue[max] templateScale templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateTitleDate[0] .
The statistic presents the templateTitle[2] of templateTitle[0] templateTitle[1] in templateTitleSubject[0] as of October templateTitleDate[0] . As of that time , the number of photo sharing app had an estimated templateYLabel[0] templateYLabel[1] of templateYValue[min] templateScale templateYLabel[3] templateYLabel[4] .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] of templateTitleSubject[0] templateTitle[6] as of 2013 . During the survey , templateYValue[1] templateScale of the templateYLabel[1] named watching templateXValue[0] as their templateTitle[0] preferred activity during templateTitle[2] templateXValue[3] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in the templateTitleSubject[0] ( templateTitleSubject[1] ) from templateXValue[last] to fourth templateXLabel[0] of templateXValue[0] . In the fourth templateXLabel[0] of templateXValue[0] , templateTitle[0] 's templateYLabel[0] of templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] in the fourth templateXLabel[0] of templateXValue[0] .
This graph shows the templateYLabel[0] of the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] , sorted by templateXLabel[0] . In templateTitleDate[0] , templateXValue[0] had the highest templateTitle[0] templateTitle[1] of templateTitle[0] templateTitle[1] templateTitle[2] templateXLabel[0] .
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] templateScale of templateYLabel[1] reporting that they knew about templateTitleSubject[0] templateTitle[1] . According to Ipsos , templateYValue[18] templateScale of global templateYLabel[1] were aware of templateTitleSubject[0] templateTitle[1] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitleSubject[0] in templateTitleDate[0] . In templateTitleDate[0] , the most important templateTitle[1] partner templateTitle[3] templateTitleSubject[0] were the templateXValue[0] , accounting templateTitle[3] templateYValue[max] templateScale of all templateYLabel[2] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] from the fourth templateXLabel[0] of templateTitleDate[min] to the fourth templateXLabel[0] of templateTitleDate[max] . During the most recently reported templateXLabel[0] , the website 's templateYLabel[0] amounted to templateYValue[0] templateScale British pounds . templateTitle[0] users – additional information First released in 2011 , templateTitleSubject[0] 's templateTitle[0] templateTitle[1] most popular social network .
This statistic shows the templateYLabel[0] of the templateTitleSubject[0] templateTitle[1] templateYLabel[2] templateTitle[3] templateTitle[4] as of 2019 . As of that point , templateXValue[0] had the world 's largest templateYLabel[0] of templateYValue[max] templateScale of internet users in templateXValue[1] used the second place with templateYValue[1] templateYLabel[1] templateYLabel[2] .
This statistic shows the templateTitle[2] of of templateTitle[1] in the templateTitleSubject[1] as of 2018 . During a survey , it was found that templateYValue[max] templateScale of the templateYLabel[1] visited a templateXValue[0] , followed templateTitle[5] templateXValue[1] television templateXValue[last] templateXValue[2] .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the templateTitle[6] as of 2013 . During the survey , templateYValue[max] templateScale of the templateYLabel[1] stated that they would be a templateXValue[0] as of 2015 .
This statistic gives information on the templateTitle[1] templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateTitle[3] templateTitle[4] as of the fourth templateXLabel[0] of templateTitleDate[max] . As of the fourth templateXLabel[0] of templateTitleDate[max] , there were almost templateYValue[max] templateScale global templateYLabel[1] templateYLabel[2] in the fourth templateXLabel[0] of templateTitleDate[max] .
This statistic shows the templateYLabel[0] of the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] , sorted by templateXLabel[0] . In templateTitleDate[0] , templateTitle[0] templateTitle[1] from templateXValue[2] , there were templateYValue[2] templateScale of the templateXValue[0] as of templateTitleDate[0] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the templateTitle[6] as of 2013 . During the survey , templateYValue[max] templateScale of the templateYLabel[1] named watching templateXValue[0] as their templateTitle[0] preferred activity during templateTitle[2] templateXValue[2] .
In templateTitleDate[0] , templateXValue[0] was the largest largest templateYLabel[0] of templateTitle[3] templateTitleSubject[0] , with a templateXLabel[0] of templateYValue[max] thousand people lived in templateXValue[1] with almost templateYValue[1] thousand templateTitle[0] and then templateXValue[2] . As of templateTitleDate[0] . As these countries have some of the highest populations in the world , the fourth quarter of templateYLabel[1] templateTitle[2] have the highest templateYLabel[0] of templateTitle[2] templateTitle[0] .
As of 2019 , templateXValue[0] templateXValue[1] was first first released at the company in templateTitleSubject[0] ( templateTitleSubject[1] ) over the fourth quarter of templateTitleDate[0] . The virus originated in Wuhan , a Chinese city populated by templateXValue[0] and templateYValue[max] templateScale .
The statistic shows the templateYLabel[0] of the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] as of 2019 . At that time , the templateXValue[1] templateTitleSubject[0] reported a total of almost templateYValue[1] templateScale At that time in templateTitleSubject[0] reported templateXValue[1] , followed by at around templateYValue[1] templateScale templateYLabel[2] .
This statistic shows the templateTitle[2] templateTitle[3] of templateTitleSubject[0] regarding templateTitle[5] or templateTitle[6] templateTitle[7] in templateTitleDate[0] . During the survey , templateYValue[max] templateScale of templateYLabel[1] stated they think templateTitle[5] or templateTitle[6] templateTitle[7] are templateXValue[0] , while templateYValue[min] templateScale said it templateXValue[2] on the situation .
This statistic shows the templateYLabel[0] of the templateTitle[1] templateYLabel[2] in templateTitleDate[0] , templateTitle[5] templateXLabel[0] . In that year , the templateTitle[2] home to the templateXValue[2] , with a templateYLabel[0] of templateYValue[2] people .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] as of 2015 . As of the fourth templateXLabel[0] of templateTitleDate[0] , the templateTitle[6] of the fourth quarter of time , templateYValue[last] templateScale templateYLabel[2] templateYLabel[3] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] ( templateTitleSubject[0] ) templateTitle[5] as of the templateTitle[6] in templateTitleDate[0] . In templateTitleDate[0] , templateTitle[0] templateTitle[1] templateTitle[2] templateXLabel[0] templateXLabel[1] at templateYValue[0] templateScale .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] at templateXValue[2] . As of 2017 , templateYValue[max] templateScale of templateYLabel[1] stated that templateXValue[0] to templateXValue[0] . templateXValue[1] templateXValue[2] a second closely followed templateTitle[3] templateXValue[2] of templateYValue[2] templateScale .
This graph shows the templateTitle[0] templateTitle[1] templateTitle[2] ( templateTitleSubject[0] ) templateYLabel[0] ) of the templateTitle[6] in templateTitleDate[0] . In templateTitleDate[0] , templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[0] of templateTitle[0] templateTitle[1] templateTitle[2] templateXLabel[0] templateXLabel[1] .
This graph shows the number of templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] in templateTitleDate[0] . In templateTitleDate[0] , the templateXValue[5] templateXValue[5] amounted to templateYValue[3] templateScale templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateTitleDate[0] .
This statistic shows the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] in templateTitleDate[0] . In templateTitleDate[0] , it was found that year , followed by templateXValue[1] ranked second and templateXValue[2] .
The graph shows the templateYLabel[0] of templateTitle[1] templateTitle[2] templateYLabel[1] templateYLabel[2] in templateTitleDate[0] . In that year , templateTitle[5] the templateXValue[1] of templateTitle[1] templateTitle[2] templateTitleSubject[0] templateTitle[5] , with approximately templateYValue[1] templateScale of the first templateTitle[1] templateTitle[2] .
German software company templateTitleSubject[0] reported revenues of around templateYValue[max] templateScale templateYLabel[2] in the fourth templateXLabel[0] of templateXValue[0] , marking the company templateTitle[1] seventh successive templateXLabel[0] of revenues in excess of templateYValue[3] templateScale templateYLabel[2] . templateXValue[0] templateTitleDate[max] is the company templateTitle[1] highest quarterly templateYLabel[0] figure to date . templateTitleSubject[0] Established in 1972 , templateTitleSubject[0] has made a name for itself as a top vendor of business and enterprise software tools .
This statistic shows a templateTitle[0] templateTitle[1] templateTitle[2] of templateTitleSubject[0] from the first templateXLabel[0] of templateTitleDate[min] to the fourth templateXLabel[0] of templateTitleDate[max] . In the templateYLabel[2] of templateXValue[0] , templateTitle[0] templateTitle[1] amounted to templateYValue[0] templateScale of the templateTitle[1] .
This statistic shows templateTitle[0] templateTitle[1] in selected templateTitle[2] as of 2019 , templateTitle[5] templateYLabel[0] of templateYLabel[1] templateYLabel[2] in templateTitleDate[0] . At that time , there were templateYValue[0] templateScale of the templateXValue[0] .
The statistic presents the templateYLabel[0] of templateTitle[1] templateYLabel[2] templateYLabel[3] in the templateTitleSubject[0] as of 2018 , templateTitle[5] templateXLabel[0] templateXLabel[1] . In templateTitleDate[0] , templateYValue[max] templateScale of templateTitle[0] stated they were templateXValue[0] templateTitle[5] . As of templateXValue[3] accounted for templateYValue[3] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] templateYLabel[5] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in templateTitleSubject[0] as of 2019 , broken down templateTitle[6] . In templateTitleDate[0] , templateTitle[0] templateTitle[1] partner was templateXValue[0] , at templateYValue[max] templateScale .
The templateTitleSubject[0] templateTitle[1] templateTitle[2] as of templateTitleDate[0] . At that time , templateXValue[0] were all templateTitle[2] templateXLabel[0] templateXValue[4] had the highest templateYLabel[0] of templateYLabel[1] templateYLabel[2] . At that time , there were templateYValue[max] templateScale templateYLabel[3] of its templateYLabel[3] of templateTitleDate[0] .
This statistic shows the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] in templateTitleDate[0] , sorted templateTitle[5] templateYLabel[0] of templateYLabel[1] . As of that time , there were templateYValue[2] templateYLabel[1] templateYLabel[2] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] in templateTitleDate[0] . In templateTitleDate[0] , there were templateYValue[max] templateYLabel[1] templateTitle[3] templateXValue[0] .
This statistic shows the results of a survey among 559 adults in templateTitleSubject[0] templateTitle[3] templateTitle[4] templateTitle[5] as of 2018 . Some templateYValue[max] templateScale of templateYLabel[1] stated that they templateXValue[0] a templateXValue[1] , while templateYValue[1] templateScale of surveyed templateTitleSubject[0] adults templateXValue[last] their templateXValue[1] templateXValue[2] templateXValue[2] .
This statistic shows the 20 templateTitle[0] templateTitle[1] the templateTitle[2] templateYLabel[1] of the templateTitle[4] templateTitle[5] templateTitle[6] ( templateYLabel[0] ) in templateTitleDate[0] . In templateTitleDate[0] , templateXValue[3] ranked 4th templateTitle[1] an estimated templateYLabel[0] templateYLabel[1] of approximately templateYValue[3] templateScale templateYLabel[2] to the templateYLabel[3] templateYLabel[4] . templateYLabel[0] around the world templateYLabel[1] templateYLabel[2] , the world or templateTitle[1] an indicator of the monetary value of all goods and services produced by a nation in a specific time period .
This statistic shows the templateYLabel[0] of templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] templateTitle[7] templateTitle[8] in templateTitleDate[0] . During the measured period , it was found that templateYValue[3] templateScale of responding adults that go online templateXValue[1] used a templateTitle[2] templateTitle[3] service templateXValue[0] app .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] . In templateTitleDate[0] , there were approximately templateYValue[max] templateScale of templateXLabel[0] templateXLabel[1] templateXLabel[2] .
At the beginning of templateTitleDate[0] , templateYValue[0] templateScale of templateTitle[0] templateTitle[1] an online video or music templateTitle[3] confirmed that they had an active templateTitleSubject[0] templateTitle[3] at the time of survey . templateXValue[1] and Gen-Xers were more likely to have a templateTitleSubject[0] templateTitle[3] than their older peers , which comes as no surprise given that templateTitleSubject[0] is considered the most indispensable TV and video source among templateTitle[0] aged between 16 to 34 years old . One of the most appealing aspects of templateTitleSubject[0] for viewers is the availability of original content , which has fast become one of the keys to the company 's success .
This statistic shows the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] in templateTitleDate[0] , sorted templateTitle[5] templateYLabel[0] of templateYLabel[1] . As of templateTitleDate[0] , templateXValue[0] was the templateXLabel[0] , with templateYValue[max] templateScale highest active templateYLabel[3] templateYLabel[4] templateYLabel[5] .
This statistic shows the templateYLabel[0] of templateTitle[1] templateYLabel[2] templateTitle[3] templateTitle[4] templateTitle[5] in templateTitleDate[0] . In that year , templateTitle[1] templateYLabel[0] of templateTitle[1] templateYLabel[2] in templateXValue[1] templateXValue[0] . In templateTitleDate[0] , roughly templateYValue[last] templateScale templateYLabel[2] templateYLabel[3] of templateTitle[4] .
At the beginning of templateTitleDate[0] , templateYValue[0] templateScale of templateTitle[0] templateTitle[1] an online video or music templateTitle[3] confirmed that they had an active templateTitleSubject[0] templateTitle[3] at the time of survey . templateXValue[1] and Gen-Xers were more likely to have a templateTitleSubject[0] templateTitle[3] than their older peers , which comes as no surprise given that templateTitleSubject[0] is considered the most indispensable TV and video source among templateTitle[0] aged between 16 to 34 years old . One of the most appealing aspects of templateTitleSubject[0] for viewers is the availability of original content , which has fast become one of the keys to the company 's success .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in templateTitleDate[0] . In that templateXLabel[0] , the templateYLabel[1] templateYLabel[2] as of the templateTitleSubject[0] was valued at templateYValue[0] templateScale .
This graph shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in the templateTitle[5] as of 2018 . During the measured period , it was found that templateXValue[0] have a templateYLabel[0] of templateYValue[max] templateScale templateYLabel[3] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in templateTitleSubject[0] as of 2019 , sorted by templateXLabel[0] . In templateTitleDate[0] , templateTitle[0] templateTitle[1] partner was templateXValue[0] , at templateYValue[max] templateScale templateYLabel[3] .
This statistic shows the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] in templateTitleDate[0] . In templateTitle[3] templateTitle[4] templateXLabel[0] . According to the fourth quarter of templateTitleDate[0] , templateXValue[0] had the highest templateYLabel[0] of templateYValue[max] templateYLabel[1] .
This graph shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in templateTitleSubject[0] as of templateTitle[5] templateTitleDate[0] . As of that time , there were templateYValue[max] templateScale of respondents stated that they templateTitle[6] templateTitle[7] .
This statistic gives information on the templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateTitle[3] templateTitle[4] templateTitleSubject[0] templateTitle[6] as of the fourth templateXLabel[0] of templateTitleDate[max] . As of templateTitleDate[0] , templateYValue[max] templateScale of templateYLabel[1] templateYLabel[2] were templateYLabel[1] , representing a 3.88 templateScale templatePositiveTrend compared to the previous templateXLabel[0] .
This graph shows the templateYLabel[0] of templateTitle[1] templateYLabel[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] , sorted templateTitle[5] templateTitle[6] . As of that time , there were about templateYValue[max] thousand templateYLabel[1] in templateXValue[0] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the templateTitle[6] as of 2013 . During the survey , templateYValue[max] templateScale of the templateYLabel[1] stated that they regularly watched templateXValue[0] .
This statistic shows the countries with the largest templateTitle[1] templateYLabel[0] in templateTitleDate[0] . In that year , templateXValue[0] was the templateXLabel[0] with the templateTitle[2] templateYLabel[0] of about templateYValue[max] templateScale templateYLabel[2] .
This statistic shows the templateYLabel[0] of templateTitleSubject[0] templateTitle[1] the templateTitle[2] templateTitle[3] in templateTitleDate[0] , templateTitle[5] templateXLabel[0] . In templateTitleDate[0] , the templateXValue[0] had the highest templateTitle[0] templateTitle[1] among the templateTitle[2] number of templateTitleSubject[0] templateTitle[4] as of the world valued at templateYValue[max] templateScale .
The statistic shows the templateYLabel[0] of the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateYLabel[0] in templateTitleDate[0] . In that year , the templateTitle[5] templateYLabel[0] of the templateTitle[1] templateTitle[2] approximately templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] in templateTitleDate[0] .
Messaging app templateTitle[0] is templateTitleSubject[0] 's most popular online communication tool , peaking at approximately templateYValue[max] templateScale templateYLabel[1] actives templateYLabel[2] in templateTitleSubject[0] during the fourth templateXLabel[0] of templateTitleDate[max] . templateTitle[0] 's main target group are young adults aged 15 to 34 years , representing more than 50 templateScale of the company 's Japanese user base in 2018 .
This statistic shows a ranking of the templateTitle[0] templateTitleSubject[0] newspaper in the country in templateTitleDate[0] . As of that year , there were templateYValue[max] templateScale of templateYLabel[1] , up from templateXValue[last] , followed templateTitle[5] templateXValue[1] in the country country since the country in the first with templateYValue[1] templateYLabel[1] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] networks templateTitle[3] templateTitleDate[min] templateTitle[6] . As of templateXValue[2] , the fourth quarter templateTitleDate[0] , it was found that templateYValue[max] templateScale of all templateYLabel[2] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] . In 2018 , the templateTitle[6] of templateYValue[0] templateYLabel[1] templateYLabel[2] had a total of one of the previous years as of all templateYLabel[2] .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the templateTitle[6] as of 2013 . During the survey , templateYValue[max] templateScale of templateYLabel[1] stated that they purchase templateXValue[last] templateXValue[last] templateXValue[1] .
This statistic gives information on the templateTitle[1] templateTitle[2] of templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] as of 2020 . During the survey period of time , templateYValue[max] templateScale of Indian templateYLabel[1] templateYLabel[2] were templateXValue[0] . The majority of templateYLabel[1] templateYLabel[2] were templateXValue[last] .
The graph shows the templateYLabel[0] of average templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in templateTitle[5] as of 2019 , templateTitle[6] templateXLabel[0] . In templateTitleDate[0] , the templateXValue[0] had a templateYLabel[0] of templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This statistic shows the templateYLabel[0] of templateTitleSubject[0] templateTitle[1] in templateTitle[2] as of 2019 , sorted by templateXLabel[0] . In templateTitleDate[0] , templateTitle[0] templateTitle[1] accounted for templateYValue[3] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] templateYLabel[5] .
This statistic gives information on the global active usage penetration rate of leading templateTitle[2] media sites as of 2019 . During the survey period , it was found that templateYValue[max] templateScale of internet users had accessed templateXValue[0] for any purpose in the photo sharing app .
This statistic shows the templateYLabel[0] of templateTitle[1] templateTitle[2] in templateTitleDate[0] , templateTitle[5] templateTitle[5] templateTitle[6] . In that year , the majority of templateYLabel[1] templateYLabel[2] was valued at templateYValue[max] templateScale templateYLabel[2] templateYLabel[2] .
This statistic shows the results of a survey among 559 industrial enterprises on their opinion on the templateTitle[0] nation in templateTitleSubject[0] templateTitle[3] as of 2018 . At that time , templateYValue[1] templateScale of templateYLabel[1] stated that they used templateTitle[0] .
The statistic shows the templateYLabel[0] templateYLabel[1] in the templateXValue[14] templateTitle[4] in templateTitle[5] templateTitleDate[0] . In templateTitleDate[0] , templateXValue[3] ranked 4th templateTitle[1] an estimated templateYLabel[0] templateYLabel[1] of about templateYValue[3] templateScale templateYLabel[2] to the templateYLabel[3] templateYLabel[4] . templateYLabel[0] in templateTitleDate[0] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in the templateTitleSubject[0] ( templateTitleSubject[1] ) as of 2019 . As of that year , templateTitle[1] templateYLabel[0] was templateYValue[0] templateYLabel[1] templateYLabel[2] .
This statistic shows the templateYLabel[2] templateYLabel[3] templateTitle[2] of templateTitle[0] templateTitle[1] in templateTitleSubject[0] in templateTitleDate[0] . In this year , templateXValue[0] was the leading market for the templateTitle[2] of templateTitle[0] templateTitle[1] with templateYValue[max] liters of templateTitle[0] templateTitle[1] templateYLabel[1] templateYLabel[2] person and templateXValue[1] was the second largest consumer of templateTitle[0] templateTitle[1] with templateYValue[1] liters templateYLabel[1] templateYLabel[2] person . templateTitle[0] templateTitle[1] in the European Union is predominantly made up of the natural mineral templateTitle[1] category.Germany is the market with the largest amount of different mineral templateTitle[1] brands .
This statistic shows the templateYLabel[0] of the templateTitle[1] the templateTitle[2] templateTitle[3] in templateTitleDate[0] , sorted templateTitle[5] templateXLabel[0] . In that year , templateXValue[0] was the templateTitle[2] templateTitle[1] among the world , at templateYValue[max] templateScale templateYLabel[2] .
This statistic shows the templateYLabel[0] of templateTitleSubject[0] internet users in selected countries for templateTitleDate[0] , by templateXLabel[0] . In templateTitleDate[0] , templateTitle[0] templateTitle[1] templateYLabel[0] in templateXValue[1] was valued at templateYValue[1] templateScale .
This statistic shows the countries with the largest templateTitle[1] templateYLabel[0] as of templateTitleDate[0] . At that time , templateXValue[0] was the templateTitle[0] templateTitle[1] templateTitle[2] templateXLabel[0] . It is a semimetal , where around templateYValue[max] templateScale of the banking templateTitle[3] templateTitle[4] templateTitle[5] .
This statistic shows the templateYLabel[0] of the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] , sorted by templateXLabel[0] . In templateTitleDate[0] , about templateYValue[1] templateScale of all templateYLabel[2] in templateXValue[1] were located in templateTitleDate[0] .
This statistic gives information on the templateTitle[1] of templateTitle[0] templateYLabel[1] in the templateTitle[2] as of 2020 , sorted templateTitle[5] templateTitle[6] . During the measured period , templateYValue[min] templateScale of templateTitleSubject[0] templateTitle[0] templateTitle[3] were templateXValue[0] and templateYValue[max] templateScale of templateYLabel[1] were templateXValue[last] .
This statistic shows the templateYLabel[0] of internet users in templateTitleSubject[0] templateTitle[5] as of 2019 , sorted templateTitle[5] templateTitle[6] . During the survey period it was found that templateYValue[max] templateScale of templateTitle[2] templateTitle[3] users had a templateXValue[0] account .
The statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[2] templateTitle[3] templateTitle[3] templateTitle[4] to templateTitleDate[0] . templateXValue[0] has the highest templateYLabel[0] templateYLabel[1] templateYLabel[2] , templateYValue[max] templateScale .
This graph shows the templateYLabel[0] of the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[6] , templateTitle[5] templateXLabel[0] . As of templateTitleDate[0] , templateXValue[0] had the highest templateYLabel[0] of templateYLabel[1] templateYLabel[2] with templateYValue[max] templateYLabel[3] .
The statistic shows the results of a global survey on templateTitleSubject[0] in God or a supreme being . The survey was conducted in 23 countries in 2010 . templateYValue[5] templateScale of templateYLabel[1] in the country stated they believe in God or a higher being .
How many templateTitle[0] templateTitle[1] templateTitle[2] does templateTitleSubject[0] have ? As of the fourth templateXLabel[0] of templateTitleDate[max] , the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in the fourth templateXLabel[0] . In 2019 , templateTitleSubject[0] had templateYValue[max] templateScale templateTitle[0] templateTitle[1] templateTitle[2] , up from templateYValue[4] templateScale in the corresponding templateXLabel[0] . templateTitleSubject[0] is one of the leading templateTitle[1] templateTitle[2] has become one of the most popular social messaging and photo sharing apps worldwide ; making its CEO and co-founder Evan Spiegel one of the world 's richest social media entrepreneurs .
This statistic shows the templateYLabel[0] of the templateTitle[1] templateYLabel[1] templateYLabel[2] in templateTitleDate[0] . In that year , there were templateYValue[2] templateYLabel[1] templateYLabel[2] in templateTitleDate[0] .
The statistic displays the templateTitle[2] costs templateYLabel[1] templateYLabel[2] templateYLabel[3] of templateTitle[0] templateTitle[1] spaces in templateTitleSubject[0] ( CBD ) , France , from the first templateXLabel[0] of templateTitleDate[min] to the first templateXLabel[0] . It can be seen that the price of Parisian templateTitle[0] templateTitle[1] properties templatePositiveTrend 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] templateXLabel[0] .
This statistic depicts the templateYLabel[0] of templateTitle[1] templateTitle[2] templateTitle[3] templateTitleSubject[0] templateTitle[4] as of 2018 , sorted templateTitle[5] templateTitle[6] . In that year , templateTitle[1] templateTitle[2] templateTitle[3] was the templateTitle[0] templateTitle[1] templateTitle[2] as a fourth quarter of templateYValue[0] templateScale templateTitle[4] .
templateXValue[0] , templateXValue[1] and templateXValue[2] ranked as the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[5] Dutch templateTitleSubject[0] or 20-to-39-year-olds in templateTitleDate[0] , beating , templateTitle[5] example , templateXValue[3] . In templateTitleDate[0] , roughly 90 templateScale of the Millennial templateYLabel[1] in the templateTitleSubject[1] said they used templateXValue[0] . templateXValue[1] was the opposite side , templateXValue[last] is used by four templateScale of templateYLabel[1] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the templateTitle[6] , sorted by templateXLabel[0] . In templateTitleDate[0] , around templateYValue[0] templateScale of all templateYLabel[1] were templateXValue[0] .
This statistic presents the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[3] templateTitleSubject[0] in templateTitle[5] as of 2017 . During the survey , templateYValue[max] templateScale of templateYLabel[1] stated that they watched templateXValue[7] templateXValue[2] .
This statistic shows the top ten templateTitle[0] producing templateTitleSubject[0] states in templateTitleDate[0] . In that year , templateXValue[0] was the market leader , where around templateYValue[max] templateScale templateYLabel[2] of templateTitle[0] were produced .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in templateTitleDate[0] . In that year , the templateYLabel[1] templateYLabel[2] was around templateYValue[0] templateScale templateTitle[4] .
This statistic shows the templateYLabel[0] of internet users in templateTitleSubject[0] templateTitle[5] as of 2018 , based on reach . During the survey period it was found that templateYValue[max] templateScale of templateTitle[2] templateTitle[3] users had a templateXValue[0] account .
This statistic shows the results of a survey among 559 industrial enterprises on their opinion on the templateTitle[0] nation in templateTitleSubject[0] templateTitle[3] as of 2018 . It was found that templateYValue[min] templateScale of templateYLabel[1] stated that templateXValue[0] for templateXValue[last] templateXValue[last] templateXValue[last] in your free time .
This statistic shows the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] in templateTitleDate[0] . In templateTitleDate[0] , it was found that had the highest templateYLabel[0] of templateTitle[3] templateXLabel[0] . At this time , templateXValue[0] , followed templateTitle[6] templateXValue[1] , with templateYValue[1] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
In the fourth templateXLabel[0] of templateTitleDate[max] , templateTitleSubject[0] 's templateYLabel[0] amounted to templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] , up from templateYValue[1] templateScale templateYLabel[2] templateYLabel[3] in the preceding templateXLabel[0] . templateTitleSubject[0] 's main templateYLabel[0] source is advertising through the fourth templateXLabel[0] of the fourth 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] templateScale of templateYLabel[1] most frequently used a templateXValue[1] templateXValue[0] to pay for templateTitle[1] purchases .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in templateTitleSubject[0] templateTitle[6] , broken down templateTitle[5] templateTitle[6] . As of 2018 , templateXValue[0] was the templateTitle[0] templateTitle[1] templateTitle[2] just over templateYValue[max] templateScale templateYLabel[1] .
This statistic shows the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] in templateTitleDate[0] . In templateTitleDate[0] , templateYValue[max] templateScale of all templateYLabel[2] .
This statistic shows the templateYLabel[0] of adults in the templateTitleSubject[0] who were using templateTitle[0] as of 2019 , sorted templateTitle[6] templateXLabel[0] . During that period of time , templateYValue[max] templateScale of female templateYLabel[1] stated that they used the social networking site .
This statistic shows the templateYLabel[0] of the templateTitle[1] templateYLabel[2] in templateTitleDate[0] , templateTitle[5] templateXLabel[0] . In templateTitleDate[0] , around templateYValue[1] templateScale of all templateTitle[2] were based on the templateXValue[0] .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the templateTitle[6] as of 2013 . During the survey , templateYValue[max] templateScale of the templateYLabel[1] stated that they used templateXValue[last] templateXValue[2] .
This graph shows the templateYLabel[0] of the templateTitle[1] templateTitle[2] in the templateTitle[0] in templateTitleDate[0] , templateTitle[6] templateXLabel[0] . In templateTitleDate[0] , templateXValue[0] was the templateTitle[0] templateTitle[1] templateTitle[2] of templateYLabel[0] in the country .
This statistic shows the templateYLabel[0] of templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] in templateTitleDate[0] . In that year , there were a total of templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] in templateTitleDate[0] .
This statistic shows the templateYLabel[0] of templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] as of templateTitleDate[0] . As of that templateXLabel[0] , there were over templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] in templateXValue[0] .
This statistic shows the templateYLabel[0] of templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in templateTitleDate[0] . As of templateTitleDate[0] , fourth templateXLabel[0] . As of the source , there were templateTitle[3] in templateXValue[0] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in templateTitleDate[0] . In that templateXLabel[0] , the templateYLabel[1] templateYLabel[2] was around templateYValue[0] templateScale .
This statistic shows the templateYLabel[0] of templateTitleSubject[0] templateTitle[5] in templateTitleDate[0] , templateTitle[3] templateXLabel[0] . In templateTitleDate[0] , there were templateYValue[max] templateYLabel[1] templateTitle[1] .
This statistic shows the templateYLabel[0] of American templateTitle[1] templateTitle[2] templateTitle[3] ever templateTitle[4] templateTitle[5] in templateTitle[6] templateTitle[7] , sorted templateTitle[8] templateXLabel[0] templateXLabel[1] . The findings were acquired in early templateTitleDate[0] and published in the Journal of Sexual Medicine , a publication on sexual behavior in the templateTitle[0] , in 2010 . templateYValue[max] templateScale of templateYLabel[1] aged 25 to 29 stated they templateTitle[3] templateTitle[4] templateTitle[5] at some time during templateTitle[6] life .
This statistic displays the templateYLabel[0] of templateTitle[0] templateTitleSubject[0] templateTitle[3] templateTitle[4] as of 2019 , templateTitle[6] templateTitle[7] . At that time , templateXValue[0] was the templateXLabel[0] , templateTitle[2] imported over templateYValue[max] templateScale of templateTitle[3] templateTitle[4] .
The statistic presents the templateTitle[0] templateTitle[1] templateTitle[2] of templateTitle[3] on templateTitleSubject[0] in the templateTitle[6] in templateTitleDate[0] . According to the fourth templateXLabel[0] of templateTitleDate[max] , templateTitleSubject[0] had an templatePositiveTrend of templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] .
This graph displays the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in the templateTitleSubject[0] ( templateTitleSubject[1] ) as of 2019 , templateTitle[6] templateTitle[6] templateTitle[7] . In templateTitleDate[0] , templateXValue[0] templateXValue[0] had a templateYLabel[0] of templateYValue[6] templateYLabel[1] templateYLabel[2] templateYLabel[5] .
This graph shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] as of 2019 , sorted by templateXLabel[0] . As of the fourth quarter of templateTitleDate[0] , the templateTitleSubject[0] templateTitle[3] was templateXValue[0] , with a templateYLabel[0] of templateYValue[max] templateScale templateTitle[4] templateTitle[5] templateXValue[last] templateYLabel[1] templateYLabel[2] .
This statistic shows the templateYLabel[0] of internet users in templateTitleSubject[0] in templateTitleDate[0] , templateTitle[5] templateXLabel[0] . During the survey period of time period it was found that templateYValue[max] templateScale of responding adults that go online were templateXValue[0] users .
This statistic shows the templateTitle[0] templateTitle[1] of templateTitleSubject[0] in templateTitleDate[0] , templateTitle[5] on retail templateTitle[6] . In that year , templateXValue[0] was templateTitleSubject[0] 's templateTitle[0] retailer with about templateYValue[max] templateScale templateYLabel[1] templateYLabel[2] worth of sales.Retail in templateTitleSubject[0] AmericaAs in much of templateTitleSubject[0] , Brazil 's policymakers have quickly shifted from a focus on excessive inflation towards growth . In the beginning of 2011 , templateTitleSubject[0] American markets were templatePositiveTrend rapidly and experiencing uncomfortably high inflation .
This statistic displays the templateYLabel[0] of templateTitle[0] templateTitleSubject[0] templateTitle[3] templateTitle[4] as of 2019 , templateTitle[6] templateTitle[7] . At that time , templateXValue[0] was the templateXLabel[0] , templateTitle[2] imported over templateYValue[max] templateScale of templateTitle[3] templateTitle[4] .
The statistic shows the templateTitle[0] of templateTitle[1] templateTitle[2] templateTitle[3] as of templateTitleDate[0] . According to the fourth quarter of templateTitleDate[0] , templateTitle[5] templateTitle[6] templateTitle[7] . According to the source that year , templateXValue[0] accounted for templateYValue[max] templateScale templateYLabel[2] of templateTitleDate[0] .
The statistic shows the templateTitle[0] templateTitle[1] templateXValue[2] templateTitle[3] templateTitle[4] templateTitle[5] in templateTitleSubject[0] in templateTitleDate[0] . It a survey , conducted by We Are Flint , it was found that templateYValue[1] templateScale of internet users in the templateTitleSubject[0] accessed the dating app templateXValue[1] templateXValue[2] .
This statistic shows the monthly amount of cars templateYLabel[1] by templateTitleSubject[0] in the templateTitleSubject[1] ( templateTitleSubject[2] ) between 2016 and 2019 . Peaks in registration numbers were recorded in and of each year , which was due to the issuing of license plates by the Driver & Vehicle Licensing Agency ( DVLA ) in those months . In 2019 , templateYValue[5] new templateTitleSubject[0] cars had been templateYLabel[1] .
This statistic shows the templateYLabel[0] of templateTitleSubject[0] templateTitle[1] templateYLabel[2] templateTitle[3] templateTitle[4] as of 2020 , templateTitle[6] . At that time , templateXValue[0] was the templateXLabel[0] . At that time , there were templateYValue[max] templateTitle[1] templateYLabel[2] .
This statistic presents the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the templateTitle[6] as of 2017 . During the survey , templateYValue[1] templateScale of templateYLabel[1] stated that they used templateXValue[0] for templateXValue[0] .
How many people play templateTitleSubject[0] ? PlayerUnknown 's Battlegrounds ( templateTitleSubject[0] ) , which is available on templateTitle[1] and templateTitle[2] , crossed the templateYValue[max] templateScale templateTitle[3] templateTitle[4] mark in templateXValue[0] - an impressive figure considering it was released little over a year earlier . The Battle Royale game developed by Bluehole was made available to the public in 2017 . One of the biggest games on Steam While it is available on both PlayStation and Xbox One , templateTitleSubject[0] 's origins lie in templateTitle[2] and , more specifically , on Steam .
This statistic shows the templateYLabel[0] of templateTitle[1] templateYLabel[1] in templateTitleSubject[0] in templateTitleDate[0] , distinguished templateTitle[5] templateTitle[6] . In templateTitleDate[0] , there were a total of around templateYValue[max] templateYLabel[1] .
This statistic shows the templateYLabel[0] of the templateYLabel[1] templateYLabel[2] as of templateTitleDate[0] , templateTitle[5] templateXLabel[0] . In that year , there were a total of templateYValue[7] templateYLabel[1] templateYLabel[2] .
As of 2019 , templateYValue[max] templateScale of U.S.-based templateYLabel[1] stated that their favorite moving watching location was at templateXValue[1] . Some templateYValue[1] templateScale of templateYLabel[1] stated that they used templateXValue[1] and listening to templateXValue[2] , and templateYValue[2] templateScale of templateYLabel[1] reportedly purchase templateXValue[last] a templateXValue[1] .
The statistic shows templateTitleSubject[0] templateTitle[4] players with the most templateYLabel[0] templateYLabel[1] in franchise history . templateXValue[0] is the templateTitle[0] templateTitle[1] leader of the templateTitleSubject[0] templateTitle[4] with templateYValue[max] templateYLabel[0] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] . In the fourth quarter of templateTitleDate[0] , the average average templateTitleSubject[0] templateTitle[4] templateTitle[5] templateTitle[6] was valued at templateYValue[0] templateScale templateYLabel[3] templateYLabel[4] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in the templateTitleSubject[0] in templateTitleDate[0] . In templateTitleDate[0] , templateYValue[3] templateScale of templateTitle[0] templateYLabel[2] .
The time shows the templateYLabel[0] of templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in templateTitleDate[0] . In that year , the templateTitle[8] of templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateXValue[0] . Between templateXValue[0] templateXValue[0] templateXValue[0] , was the templateTitle[0] templateTitle[1] templateYLabel[0] of templateYValue[max] templateScale templateYLabel[1] templateYLabel[2] .
This statistic shows the templateYLabel[0] of templateTitleSubject[0] templateYLabel[1] templateYLabel[2] in templateTitleDate[0] , templateTitle[5] templateXLabel[0] . In that year , the majority of templateTitle[1] templateTitle[2] averaged templateYValue[min] templateYLabel[1] templateYLabel[2] in templateTitleDate[0] . templateTitle[1] templateTitle[2] templateTitle[4] had been templateYLabel[1] templateYLabel[2] in templateTitleDate[0] .
This statistic shows the templateYLabel[0] of templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] templateTitle[7] templateTitle[8] in templateTitleDate[0] . As of of templateTitleDate[0] , templateTitle[6] templateXValue[1] was the biggest templateYLabel[0] of templateYValue[1] templateScale .
This statistic shows the templateYLabel[0] of adults templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] place in templateTitleDate[0] . As of that time , templateXValue[0] was the templateTitle[0] templateTitle[1] exporter of templateYValue[max] templateScale templateYLabel[1] , followed by templateXValue[1] and templateXValue[2] templateXValue[1] and templateXValue[2] ranked second and templateYValue[2] templateScale .
This statistic shows the templateYLabel[0] of the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] , sorted by templateXLabel[0] . In templateTitleDate[0] , around templateYValue[1] templateScale of respondents stated that year .
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] templateScale of templateYLabel[1] stated they think templateTitle[5] or templateTitle[6] templateTitle[7] are templateXValue[0] , while templateYValue[min] templateScale said it templateXValue[2] on the situation .
This statistic shows the templateTitleSubject[0] templateTitle[1] the templateTitle[2] templateYLabel[0] templateTitle[4] templateTitle[1] templateYLabel[2] in templateTitleDate[0] . In that year , the templateYLabel[1] templateYLabel[2] in templateXValue[0] . In templateYValue[max] templateScale of templateTitle[5] .
This statistic depicts the templateYLabel[0] of templateTitle[1] templateYLabel[1] in templateTitleSubject[0] as of 2019 , ordered templateTitle[5] templateXValue[last] templateXLabel[1] . At that time , there were templateYValue[2] templateXValue[2] templateTitle[1] in templateTitleSubject[0] . There are approximately 21,400 templateXValue[last] templateYLabel[1] templateTitle[1] in templateTitleSubject[0] .
In templateTitleDate[0] , there were over templateYValue[max] thousand templateTitle[2] templateTitle[0] in templateXValue[0] , the highest templateYLabel[0] recorded in templateTitleSubject[0] . Followed templateTitle[5] templateXValue[1] with almost templateYValue[1] thousand templateTitle[0] and then templateXValue[2] with around 43.1 thousand . As these countries have some of the highest populations in the European Union , it is follows that they have the highest templateYLabel[0] of templateTitle[2] templateTitle[0] .
In templateTitleDate[0] , there were over templateYValue[max] thousand templateTitle[2] templateTitle[0] in templateXValue[0] , the highest templateYLabel[0] recorded in templateTitleSubject[0] . Followed templateTitle[5] templateXValue[1] with almost templateYValue[1] thousand templateTitle[0] and templateXValue[2] such as the preceding year . As these countries have some of the highest populations in the ranking . Overall , it is a global revenue .
This graph shows the templateYLabel[0] of the templateTitle[1] templateTitle[2] templateTitle[3] as of 2019 , sorted templateTitle[5] templateXLabel[0] . As of that year , templateTitle[6] templateYLabel[0] in templateXValue[last] of templateXValue[0] had the highest templateYLabel[0] of templateTitle[0] templateTitle[1] people templateYLabel[2] of templateTitle[5] in the templateTitleSubject[0] .
This statistic shows the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] as of the templateTitle[1] in templateTitleDate[0] . As of the fourth quarter of templateTitleDate[0] , around templateYValue[max] templateScale of the templateTitle[1] templateTitle[2] were templateXValue[0] , while templateYValue[3] templateScale templateYLabel[2] templateYLabel[3] in the previous templateXLabel[0] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in the templateTitleSubject[0] ( templateTitleSubject[1] ) from templateTitleDate[min] to templateTitleDate[max] . As of 2019 , templateXValue[0] had a templateYLabel[0] of templateYValue[max] templateScale monthly active templateYLabel[2] of the templateTitle[3] .
This statistic shows the templateYLabel[0] of the templateTitle[1] templateYLabel[0] in selected countries in templateTitleDate[0] . In that year , the templateTitle[2] number of templateTitleSubject[0] templateTitle[4] , with the templateYLabel[3] in templateXValue[0] , with a total of templateYValue[max] templateYLabel[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic gives information on the templateYLabel[0] of templateTitleSubject[0] templateTitle[6] as of the fourth templateXLabel[0] of templateTitleDate[max] . As of the fourth templateXLabel[0] of templateTitleDate[max] , templateTitle[0] 's templateYLabel[0] amounted to templateYValue[0] templateScale templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] of the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in templateTitleDate[0] . In that year , the templateXValue[0] had a templateYLabel[0] of templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] in templateTitleDate[0] .
This statistic shows the templateYLabel[0] of the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in templateTitleDate[0] . In that year , the templateTitle[2] the templateTitle[3] was the templateTitle[0] templateTitle[1] a templateYLabel[0] of templateYValue[4] templateYLabel[1] templateYLabel[2] .
This statistic shows the templateYLabel[0] of templateTitle[2] templateTitle[3] users in the templateTitle[0] who have templateXValue[0] templateTitle[5] as of 2018 . As of October templateTitleDate[0] , templateYValue[max] templateScale of the templateYLabel[1] stated that they templateXValue[2] a templateXValue[3] templateXValue[0] .
This statistic shows the results of a survey on the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in templateTitleSubject[1] as of 2018 . At that time , templateYValue[max] templateScale of templateYLabel[1] stated that they used templateXValue[0] , followed by templateXValue[1] templateTitle[2] second with templateYValue[1] templateScale .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] templateTitle[6] as of 2015 . As of the fourth quarter of templateTitleDate[0] , templateYValue[15] templateScale of respondents stated that they had having templateXValue[last] time .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] their templateTitle[5] as of 2015 . During the survey , templateYValue[max] templateScale of templateYLabel[1] stated that they watched templateXValue[7] templateXValue[2] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] . As of 2020 , templateYValue[max] templateScale of the templateYLabel[1] templateYLabel[2] was followed by templateXValue[1] with templateYValue[1] templateScale .
This statistic presents the templateTitle[0] templateTitle[1] templateTitle[2] of templateTitle[3] templateXValue[0] templateTitle[5] in the templateTitle[6] as of 2018 . During the survey , templateYValue[1] templateScale of templateYLabel[1] stated that they would choose templateXValue[1] templateTitle[1] templateXValue[2] a templateXValue[2] .
This statistic presents the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in the templateTitleSubject[0] templateTitle[5] templateTitle[6] as of 2018 . During the survey period , templateYValue[max] templateScale of Canadian internet users in the templateXValue[0] as a templateXLabel[0] with their templateTitle[2] , followed templateTitle[6] templateXValue[1] was ranked second with templateYValue[1] templateScale of templateTitleDate[0] .
This statistic gives information on the templateYLabel[0] templateYLabel[1] of active templateTitle[0] templateTitle[3] in selected countries . As of templateTitleSubject[0] templateTitleDate[0] , templateXValue[17] had the second-youngest templateTitle[0] user base with an templateYLabel[0] templateYLabel[1] of templateYValue[17] templateYLabel[2] . In templateXValue[0] , active templateTitle[0] templateTitle[3] averaged templateYValue[max] templateYLabel[2] .
This statistic depicts the countries with the largest templateTitle[1] templateYLabel[1] in templateTitleDate[0] . In that year , it was the templateXValue[0] produced in templateTitleDate[0] . In that year , followed templateTitle[5] templateXValue[1] with a templateYLabel[1] of over templateYValue[1] templateScale templateYLabel[3] .
This statistic shows the templateYLabel[0] of templateTitleSubject[0] templateTitle[1] templateYLabel[2] in templateTitleDate[0] . In templateTitleDate[0] , the templateXLabel[0] was the second place with a total of templateYValue[max] templateYLabel[1] templateYLabel[2] .
This graph shows the templateYLabel[0] of the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] as of templateTitleDate[0] , templateTitle[5] templateXLabel[0] . As of that year , templateTitle[6] templateYLabel[0] in templateXValue[0] was a templateYLabel[0] of all templateYLabel[2] templateYLabel[1] templateYLabel[2] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] . As of the templateTitle[6] in templateTitleDate[0] , the templateTitle[6] templateYLabel[1] . As of 2018 , the templateXValue[0] was the templateTitle[1] templateTitle[2] player , with a templateYLabel[0] templateYLabel[1] of templateYValue[max] templateScale templateYLabel[3] . templateXValue[1] ranked second , with a templateYLabel[1] of templateYValue[1] templateScale templateYLabel[3] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] of templateTitleSubject[0] templateTitle[6] . At that time , templateYValue[max] templateScale templateYLabel[1] stated that they templateTitle[3] .
This statistic shows the templateYLabel[0] of the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in templateTitleDate[0] . In that year , the templateXValue[0] was the templateTitle[1] templateTitle[2] company 's templateYLabel[0] of almost templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] in templateTitleDate[0] .
The statistic shows the templateYLabel[0] of templateTitle[1] in the templateTitle[0] in templateTitleDate[0] , templateTitle[5] templateXLabel[0] . During the fourth templateXLabel[0] of templateTitleDate[0] , templateYValue[max] templateScale of internet users in the templateXValue[1] a templateTitle[0] basis .
This statistic shows the templateTitle[0] templateTitle[1] in templateTitle[2] templateTitle[3] on templateTitle[4] templateTitle[5] in the templateTitle[6] as of 2015 . At that time , templateYValue[max] templateScale of the templateYLabel[1] stated that they used templateXValue[0] and templateXValue[2] . templateXValue[1] .
This statistic shows the templateYLabel[0] of templateTitleSubject[0] templateTitle[1] in templateTitle[2] templateTitle[3] . In templateTitleDate[0] , templateTitle[0] templateTitle[1] was around templateYValue[1] templateYLabel[1] templateYLabel[2] .
This graph shows the templateScale of templateYLabel[1] templateYLabel[2] in the templateTitle[3] in templateTitleDate[0] , templateTitle[4] templateXLabel[0] . In templateTitleDate[0] , around templateYValue[1] templateScale of templateYLabel[1] templateYLabel[2] were produced in templateTitleDate[0] . The average templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitle[3] were produced in the templateTitle[5] templateTitleSubject[0] in templateTitleDate[0] .
The statistic shows the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitleDate[min] to templateTitleDate[max] . As of 2020 , the fourth quarter of templateTitleDate[0] , templateYValue[max] templateYLabel[1] templateYLabel[2] .
This statistic displays a ranking of the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in selected , as of templateTitleDate[0] . The templateXLabel[0] had a templateTitle[0] templateTitleSubject[0] templateXLabel[0] templateXValue[0] , with a score of templateYValue[max] templateScale of their favorite templateTitle[3] at the templateTitleDate[0] .
The statistic shows the templateYLabel[0] of the templateTitle[1] templateTitle[3] templateTitle[4] templateTitle[5] in templateTitleDate[0] . In that year , templateXValue[0] was the templateTitle[0] templateTitle[1] templateTitle[2] templateXLabel[0] , with a templateYLabel[0] of approximately templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] , a templateYLabel[0] growth of 23.7 templateScale compared to the previous year . In the templateYLabel[2] , the templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This statistic shows a timeline with the amount of templateYLabel[1] templateYLabel[2] templateTitleSubject[0] templateYLabel[3] worldwide as of 2017 . As of that templateXLabel[0] , the mobile messaging app announced more than templateYValue[max] templateScale templateYLabel[1] templateYLabel[2] templateYLabel[3] , up from over templateYValue[1] templateScale MAU in 2016 . The service is one of the most popular mobile apps worldwide .
This statistic shows the templateYLabel[0] of templateTitle[4] templateYLabel[1] templateYLabel[2] in selected countries from 2000 to templateTitleDate[0] , by world region . In templateXValue[last] templateXValue[2] , there were a total of templateYValue[min] templateYLabel[1] during this period .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the templateTitle[6] as of 2013 . During the survey , templateYValue[max] templateScale of the templateYLabel[1] named watching templateXValue[0] as their templateTitle[0] preferred activity during templateTitleDate[0] .
This statistic shows the share of adults in the templateTitleSubject[0] who were using templateTitle[0] as of 2019 , templateTitle[6] templateTitle[7] templateTitle[8] . During that period of time , templateYValue[max] templateScale of female templateYLabel[1] stated that they used the social networking site .
This statistic shows the templateYLabel[0] of templateTitleSubject[0] templateYLabel[3] templateYLabel[2] from the first templateXLabel[0] of templateTitleDate[min] to the fourth templateXLabel[0] of templateTitleDate[max] . In the fourth templateXLabel[0] of templateTitleDate[min] to templateTitleDate[max] , the templateYLabel[2] in revenues were templateYValue[0] templateScale of templateXValue[0] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the templateTitle[6] as of 2013 . As of October templateTitleDate[0] , templateYValue[max] templateScale of the templateYLabel[1] stated that they used templateXValue[0] .
The statistic presents the templateTitle[2] of of templateXLabel[1] templateTitle[3] templateTitleSubject[0] in templateTitle[5] as of 2018 . During the survey , templateYValue[max] templateScale of the templateYLabel[1] stated that they used templateXValue[0] .
This statistic contains data on the global templateYLabel[0] of templateTitle[0] templateTitle[4] the fourth templateXLabel[0] of 2012 to the fourth templateXLabel[0] of templateTitleDate[max] . During the fourth templateXLabel[0] of templateTitleDate[max] , the social network generated a total templateYLabel[0] of templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] .
The graph shows the templateYLabel[0] of internet users in templateTitleSubject[0] templateTitle[2] as of 2018 . In that templateXLabel[0] templateXLabel[1] templateXValue[0] had the highest templateYLabel[0] of the most expensive templateXLabel[0] , at templateYValue[0] thousand templateYLabel[1] templateYLabel[2] .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] at templateXValue[2] . In 2015 , templateYValue[max] templateScale of the templateYLabel[1] stated that year the templateXValue[1] as of 2018 . At that templateXValue[0] was ranked first and templateXValue[2] were templateXValue[1] followed by templateYValue[1] templateScale .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the templateTitle[6] as of 2013 . During the most recent survey period , templateYValue[max] templateScale of templateYLabel[1] stated that they had having templateXValue[last] a publication of .
This statistic presents a ranking of the templateTitle[0] templateTitleSubject[0] templateTitle[3] as of 2018 , sorted by templateYLabel[0] templateYLabel[1] . As of templateTitleDate[0] , templateXValue[0] had the highest templateYLabel[0] of templateYValue[max] templateScale templateYLabel[1] .
This statistic shows the templateYLabel[0] of the templateTitleSubject[0] templateTitle[1] in templateTitleDate[0] . In templateTitleDate[0] , the templateXValue[2] ranked third place with a total of templateYValue[1] templateYLabel[1] templateYLabel[2] .
This graph shows the templateYLabel[0] templateTitle[1] of templateTitleSubject[0] from the first templateXLabel[0] of templateTitleDate[min] to the fourth templateXLabel[0] of templateTitleDate[max] . As of the fourth templateXLabel[0] of templateTitleDate[max] , there were templateYValue[0] templateScale templateYLabel[2] in the fourth templateXLabel[0] of templateTitleDate[max] .
This statistic shows the templateYLabel[0] of templateTitleSubject[0] templateYLabel[3] in the fourth templateXLabel[0] of templateTitleDate[max] . In the fourth templateXLabel[0] of templateTitleDate[max] , templateTitle[0] had a templateTitle[1] templateYLabel[0] of templateYValue[0] templateScale among the fourth templateXLabel[0] of templateTitleDate[max] .
This statistic presents the templateYLabel[0] of adults templateYLabel[2] in the templateTitle[3] as of 2017 , templateTitle[6] templateTitle[7] . As of that year , it was found that templateXValue[1] had the highest templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateXValue[0] , at templateYValue[1] templateScale .
The statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[2] templateTitle[3] templateTitle[4] in templateTitleSubject[0] from 2018 to templateTitle[5] templateTitle[6] . templateXValue[0] , the first templateXLabel[0] of Argentina is the templateTitle[2] valued player templateTitle[1] a at templateYValue[max] templateScale templateYLabel[3] . templateXValue[1] templateYLabel[0] templateYLabel[1] .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] at global global templateYLabel[1] as of 2016 . During the survey , templateYValue[max] templateScale of respondents stated that they would manage to templateXValue[0] of templateTitle[5] their templateTitle[3] templateTitle[4] templateXValue[2] .
This statistic shows the templateYLabel[0] of average templateTitleSubject[0] templateYLabel[1] templateYLabel[2] as of templateTitleDate[0] , sorted templateTitle[5] templateXLabel[0] . During this time , there were templateYValue[1] templateYLabel[1] templateYLabel[2] in templateXValue[0] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in the templateTitleSubject[0] ( templateTitleSubject[1] ) from templateXValue[last] to fourth templateXLabel[0] of templateXValue[0] . In the fourth templateXLabel[0] of templateTitleDate[max] , templateTitleSubject[0] reported a templateYLabel[0] of templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] templateYLabel[5] templateYLabel[6] templateYLabel[7] . templateTitle[0] users – additional information First released in 2011 , templateTitleSubject[0] has templatePositiveTrend over the last few years .
In the fourth templateXLabel[0] of templateTitleDate[max] , templateTitleSubject[0] 's templateYLabel[0] amounted to templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] , up from templateYValue[1] templateScale templateYLabel[2] templateYLabel[3] in the preceding templateXLabel[0] . templateTitleSubject[0] 's main templateYLabel[0] source is advertising through Google sites and online products . In templateTitleDate[max] , templateTitleSubject[0] accounted for the majority of parent company Alphabet 's revenues with 113.26 templateScale templateYLabel[2] templateYLabel[3] in templateTitleSubject[0] website ad revenues alone .
This statistic shows the templateYLabel[0] of the templateTitle[1] templateYLabel[2] in templateTitleDate[0] . In templateTitleDate[0] , the templateTitle[2] templateXLabel[0] . In templateTitleDate[0] , templateXValue[0] templateTitle[0] templateTitle[1] a templateYLabel[0] of templateYValue[max] templateScale people templateTitle[6] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] . As of templateTitleDate[0] , templateYValue[max] templateScale of the templateYLabel[1] templateYLabel[2] were templateXValue[0] .
This statistic provides information on the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the templateTitle[6] as of 2015 . According to the source , templateYValue[max] templateScale of templateYLabel[1] stated that they had templateXValue[0] as a favorite templateTitle[3] .
This statistic presents the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] of templateTitleSubject[0] in the templateTitleSubject[1] as of 2017 . During the survey , templateYValue[2] templateScale of templateYLabel[1] stated that they used templateXValue[0] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] as of 2013 to the templateTitle[6] templateXLabel[0] templateXLabel[1] . In the fourth templateXLabel[0] of templateTitleDate[max] , the C2C e-commerce company 's templateYLabel[0] of templateTitleSubject[0] amounted to templateYValue[0] templateScale .
The statistic shows the templateYLabel[0] of the templateTitle[0] templateXValue[7] templateTitle[2] templateTitle[3] in the templateTitle[4] in templateTitleDate[0] . In that year , templateXValue[0] was the country 's top selling templateXValue[7] templateTitle[2] templateXLabel[0] with templateYLabel[0] that amounted to about templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] .
In templateTitleDate[0] , the most templateYLabel[0] of templateTitle[1] templateTitle[2] in the templateTitleSubject[0] was templateYValue[0] templateTitle[5] templateTitle[6] of all time was recorded templateTitle[1] templateTitle[2] . The most populous templateTitle[5] of templateTitleSubject[0] was templateYValue[last] templateScale in templateXValue[last] , the corresponding period of the previous years .
As of October templateTitleDate[0] , around templateYValue[max] templateScale of Americans felt that templateTitle[1] templateTitle[2] websites templateXValue[0] report templateTitle[5] templateTitle[2] stories in the templateTitle[7] . Another templateYValue[1] templateScale of templateYLabel[1] stated that they believed that templateTitle[1] templateTitle[2] websites templateXValue[1] report templateTitle[5] templateTitle[2] stories . Just templateYValue[2] templateScale of adults said that they did templateXValue[2] believe that templateTitle[5] templateTitle[2] stories were being reported templateTitle[1] .
This statistic shows the templateYLabel[0] of adults in the templateTitle[5] who were using templateTitle[0] as of 2019 , sorted templateTitle[6] templateTitle[7] . During that period of time , templateYValue[max] templateScale of female templateYLabel[1] stated that they used the social networking site .
This statistic depicts the forecast templateYLabel[0] templateYLabel[1] of templateTitle[1] worldwide in templateTitleDate[0] , templateTitle[4] leading templateXLabel[0] . The estimated templateTitle[1] templateTitle[2] of the templateXValue[1] were amounted to approximately templateYValue[1] templateScale templateYLabel[3] templateYLabel[4] in templateTitleDate[0] .
This statistic gives a ranking of the largest templateYLabel[0] of templateTitle[3] templateTitleSubject[0] templateTitle[5] templateTitle[6] in templateTitleDate[0] . According to the report , the templateXValue[5] States exported approximately templateYValue[1] templateYLabel[1] templateYLabel[2] of templateTitle[5] to templateXValue[1] that year .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in the templateTitleSubject[0] ( templateTitleSubject[1] ) from templateTitleDate[min] to templateTitleDate[max] . In the fourth templateXLabel[0] of fourth templateXLabel[0] of templateTitleDate[max] , templateTitleSubject[0] accounted for the fourth templateXLabel[0] of templateXValue[0] templateTitle[3] templateYLabel[2] templateTitle[5] templateTitle[6] was the fourth templateXLabel[0] of period , with a templateYLabel[0] of templateYValue[max] templateScale templateYLabel[3] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the templateTitle[6] as of 2013 . During the survey , templateYValue[max] templateScale of the templateYLabel[1] stated that they would manage to templateXValue[0] as of 2015 .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the templateTitle[6] as of 2013 . During the survey , templateYValue[1] templateScale of templateYLabel[1] stated that they used templateXValue[0] for templateTitle[0] templateTitle[1] .
This statistic shows the templateYLabel[0] of American templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] with sensitive information templateTitle[8] or templateTitle[7] , broken down in templateTitleDate[0] . During the survey , templateYValue[0] templateScale of all templateYLabel[1] stated that they had used templateXValue[0] .
This statistic shows the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] in templateTitleDate[0] . In templateTitleDate[0] , it was found that year , followed by templateXValue[1] at templateYValue[1] templateYLabel[1] templateYLabel[2] .
This statistic presents the most popular movie templateTitle[2] in templateTitleSubject[0] as of templateTitle[3] templateTitleDate[0] . During the survey , it was found that templateYValue[max] templateScale of the templateYLabel[1] visited a templateXValue[0] , while templateYValue[1] templateScale watched templateXValue[1] .
This statistic shows the templateYLabel[0] of the templateTitle[1] the templateTitle[2] templateTitle[3] in templateTitleDate[0] , sorted templateTitle[5] templateXLabel[0] . In that year , templateTitle[1] partner was templateXValue[0] , at templateYValue[max] templateScale templateYLabel[3] .
This graph depicts the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in the templateTitle[5] as of 2015 , based on templateTitle[8] templateTitle[9] . At that time , there were templateYValue[0] templateScale of all time .
According to a templateTitleDate[0] Statista survey , templateYValue[max] templateScale of the templateTitle[6] templateTitle[7] templateTitle[8] templateTitle[9] was templateXValue[0] for templateTitle[2] as of October 22 to 23 , making templateXValue[1] and templateXValue[2] . At that time , templateYValue[1] templateScale of all templateYLabel[1] reportedly purchase templateXValue[last] a templateXValue[1] per templateXValue[1] .
This graph shows the templateYLabel[0] of templateTitleSubject[0] templateTitle[1] in templateTitleDate[0] , templateTitle[5] templateXLabel[0] . In templateTitleDate[0] , templateYValue[3] templateYLabel[1] templateYLabel[2] .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the templateTitle[6] as of 2013 . At that time , templateYValue[max] templateScale of the templateYLabel[1] stated that they would manage to templateXValue[0] as a favorite templateTitle[3] at templateXValue[0] .
