This statistic shows the 20 templateTitle[0] of the templateTitle[2] in templateTitleDate[0] . In templateTitleDate[0] , the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] was templateXValue[0] , with a templateYLabel[3] of templateYValue[max] templateYLabel[2] templateYLabel[3] .
The statistic shows the templateYLabel[0] of the templateTitle[1] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitleSubject[0] templateTitle[1] templateYLabel[0] amounted to approximately templateYValue[max] templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] of templateTitle[4] in templateTitleSubject[0] in templateTitleDate[min] and templateTitleDate[max] . In the first templateLabel[0][0] of templateTitleDate[max] , the templateTitle[1] templateTitle[2] templateTitle[3] of templateTitle[4] in templateTitleSubject[0] in the country was templateValue[2][max] U.S. dollars .
This statistic gives information on the templateScale of the templateTitleSubject[0] templateYLabel[2] templateYLabel[3] as of 2019 , from templateValue[0][0] . According to the source , it was found that templateValue[1][0] templateScale of employees using it .
The templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] one dozen , or 12 , templateTitle[4] in templateTitleSubject[0] was templateValue[2][3] Canadian dollars in 2019 . This templateTitle[2] has remained relatively stable over the given time period , not templatePositiveTrend above templateValue[2][max] or below templateValue[2][min] Canadian dollars . The Canadian egg marketCanada produces an templatePositiveTrend number of templateTitle[4] each year .
This statistic illustrates the monthly templateYLabel[0] templateYLabel[1] of the templateTitle[1] manufacturer templateTitleSubject[0] in the templateTitleSubject[1] ( UK ) between 2016 and 2019 . The company 's templateYLabel[0] templateYLabel[1] has gradually templateNegativeTrend from in this time period from templateYValue[29] templateScale in 2016 to templateYValue[0] templateScale in 2019 . templateTitleSubject[0] is one of the leading templateTitle[1] manufacturers in the UK .
This statistic outlines the templateYLabel[0] of templateYLabel[1] of templateTitleSubject[0] worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the company employed a total of templateYValue[idxmax(X)] people . The company is one of the largest oil and gas corporation .
In templateTitleDate[0] , the highest templateYLabel[0] of templateTitle[0] templateTitle[1] in the templateTitleSubject[0] was templateXValue[0] , with the highest templateYLabel[0] templateYLabel[1] accounting for about templateYValue[max] templateScale templateYLabel[2] . In the same year , the second highest templateYLabel[0] templateYLabel[1] reached templateYValue[3] templateScale templateYLabel[3] . women in the templateXValue[4] was the highest figure of templateTitle[0] templateTitle[1] templateTitle[2] in the country .
This graph depicts the templateYLabel[0] templateTitle[1] templateTitle[2] templateTitle[3] templateYLabel[1] of the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] at templateTitle[3] games of the templateTitleSubject[0] was templateYValue[0] templateYValue[idxmax(X)]
The statistic depicts the templateYLabel[3] templateTitle[1] as a templateYLabel[0] of the templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[5] , templateYLabel[2] a forecast up to templateXValue[max] . In templateXValue[5] , around templateYValue[5] templateScale of the templateYLabel[1] in templateTitleSubject[0] used a templateYLabel[3] .
This statistic presents the templateTitle[0] templateTitle[1] templateLabel[0][0] templateTitle[3] templateTitle[4] in the templateTitle[5] as of templateTitleSubject[0] templateTitleDate[0] , based on templateTitle[7] . During the survey , templateValue[1][0] templateScale of respondents stated that they went to purchase via templateValue[0][0] .
The statistic presents the templateTitle[5] templateTitle[6] templateTitle[7] of the templateValue[0][0] movie templateTitle[2] in templateLabel[1][0] templateLabel[1][1] and templateLabel[2][0] . As of 2018 , `` templateValue[0][0] '' , the second installment in the templateTitleSubject[0] based on the DC Comics character , reached a gross of templateValue[1][1] templateScale U.S. dollars in 3,555 cinemas across templateLabel[1][0] templateLabel[1][1] .
This statistic shows the templateYLabel[0] of the templateYLabel[1] of the templateYLabel[2] templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] of the templateYLabel[1] of templateTitleSubject[0] amounted to templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateScale of online consumers in the templateTitle[0] , sorted templateTitle[5] templateTitle[6] templateTitle[7] . According to the survey findings , templateValue[1][0] templateScale of the respondents stated that they had used a templateLabel[1][0] templateLabel[1][1] .
This statistic shows the templateYLabel[0] of the templateYLabel[1] of the templateYLabel[2] templateTitle[4] templateXValue[min] to templateXValue[max] . In templateXValue[max] , the data from the templateTitle[0] of the templateTitleSubject[0] was templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
As of 2019 , templateXValue[0] accounted for over templateYValue[max] templateScale of templateTitle[2] templateYLabel[1] templateYLabel[2] worldwide , up from templateYValue[1] templateScale in the previous year . The app is one of the most popular social network worldwide .
The templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] one dozen , or 12 , templateTitle[4] in templateTitleSubject[0] was templateValue[2][3] Canadian dollars in 2019 . This templateTitle[2] has remained relatively stable over the given time period , not templatePositiveTrend above templateValue[2][max] or below templateValue[2][min] Canadian dollars . The Canadian egg marketCanada produces an templatePositiveTrend number of templateTitle[4] each year .
This statistic shows the amount of templateTitle[2] templateTitle[3] templateTitle[4] in the templateTitle[0] in templateTitleDate[min] and templateTitleDate[max] . In templateTitleDate[max] , some templateValue[1][0] templateScale of templateTitle[2] templateTitle[3] were employed in the templateTitle[0] .
This statistic shows the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to about templateYValue[6] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic gives information on the templateTitle[0] templateTitle[1] templateTitle[2] templateXValue[0] templateTitle[3] in the templateTitle[4] as of 2019 , ranked by far the largest templateTitle[0] templateYLabel[0] of people . It was templateXValue[0] , with over templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] in templateTitleDate[0] .
This statistic shows the results of a survey among templateTitleSubject[0] adult templateTitle[1] . The survey was fielded templateXValue[3] by Harris Interactive in 2014 , templateYValue[max] templateScale of templateYLabel[1] stated that they used templateXValue[0] a templateXValue[1] templateTitle[1] .
The timeline shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[5] in the templateTitle[0] from templateXValue[min] to templateXValue[max] . According to the report , the templateTitleSubject[0] templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[5] amounted to approximately templateYValue[idxmax(X)] templateYLabel[3] in templateXValue[max] .
This statistic gives information on the templateScale of templateTitleSubject[0] 's employees templateTitle[4] from templateValue[0][last] to templateValue[0][0] , sorted templateTitle[8] templateTitle[9] . As of 2019 , it was found that templateValue[2][0] templateScale of people in the state deficit .
The statistic shows templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) denotes the aggregate value of all services and goods produced within a country in any given templateXLabel[0] . templateTitle[3] is an important indicator of a country 's economic power .
The statistic shows the templateYLabel[0] of the templateTitle[1] templateTitle[2] templateTitle[3] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the templateYLabel[0] of the templateTitle[1] templateTitle[2] in templateTitleSubject[0] amounted to about templateYValue[6] templateScale templateYLabel[2] templateYLabel[3] .
This statistic gives information on the templateTitle[0] templateTitle[1] templateTitle[2] templateXLabel[0] in templateTitleSubject[0] as of templateTitleDate[0] , based on goods templateXValue[0] . During the survey period , it was found that the templateScale of the templateYLabel[1] templateYLabel[2] will be the goods and services .
This statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . Over this period , the templateYLabel[1] templateYLabel[0] templatePositiveTrend by over 5 thousand templateYLabel[3] , peaking at 13.8 thousand templateYLabel[3] in templateXValue[max] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] of the templateTitleSubject[0] amounted to templateYValue[3] templateScale templateYLabel[3] templateYLabel[4] .
This statistic presents the templateTitle[2] of templateTitleSubject[0] templateTitle[1] in the templateTitleSubject[1] as of 2018 , broken down templateTitle[7] templateTitle[8] . During the survey , it was found that templateYValue[max] templateScale of the templateYLabel[1] stated that they had templateTitleSubject[0] templateTitle[2] templateXValue[last] .
This statistic depicts the distribution of templateTitle[0] templateTitle[1] templateTitle[2] in the templateTitleSubject[0] ( templateTitleSubject[1] ) in templateTitleDate[0] , templateTitle[10] templateTitle[11] . It was found that templateValue[1][0] templateScale of the templateValue[0][0] and templateValue[2][0] templateScale of all templateValue[0][0] .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at approximately templateYValue[idxmax(X)] templateScale .
The templateTitle[0] templateTitle[1] at templateTitle[2] was templateValue[1][0] years old for men in the United Kingdom ( templateTitleSubject[0] ) in templateValue[0][0] , and templateValue[2][0] years for women . The templateTitle[1] of the templateTitle[3] has remained relatively stable over the past few years . The recent years it was found that the lowest point for men .
As of templateTitleDate[0] , there were 52 templateTitle[2] templateYLabel[1] templateTitle[4] templateTitle[5] worldwide , with the majority being built in templateXValue[0] . Comparatively , there were 186 templateTitle[2] templateYLabel[1] shut down permanently as of that year . The templateXValue[3] templateXValue[9] had permanently shut down 37 templateTitle[2] facilities as of 2020 .
This statistic shows the templateTitle[0] of the templateYLabel[2] templateYLabel[3] of templateTitle[2] employees in the United Kingdom ( templateTitleSubject[0] ) from templateValue[0][last] to templateValue[0][0] . According to the survey , there were templateValue[1][0] templateScale of the employees in templateValue[0][0] , compared to the country .
The statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the total templateYLabel[1] of templateTitleSubject[1] templateTitle[4] amounted to templateYValue[idxmax(X)] templateScale templateYLabel[3] templateYLabel[4] .
This statistic shows the average templateYLabel[0] templateYLabel[1] in the templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to about templateYValue[6] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic gives information on the templateTitle[1] templateYLabel[0] of templateTitleSubject[0] 's templateYLabel[1] as of templateTitleDate[0] . During the survey period , templateYValue[max] templateScale of templateTitleSubject[0] templateYLabel[1] lived in the templateXValue[0] .
This statistic shows the templateScale of templateTitleSubject[0] templateTitle[1] in templateTitle[4] in templateTitleDate[0] , sorted templateTitle[5] templateTitle[6] . According to the survey findings , templateValue[1][0] templateScale of templateLabel[2][0] templateTitle[1] were templateLabel[2][0] templateTitle[1] in templateTitleSubject[0] .
This statistic provides information on the templateTitle[0] templateTitle[1] templateTitle[2] in the templateTitle[4] as of 2017 . According to the survey , it was found that templateYValue[max] templateScale of the people who were living in the templateTitleSubject[0] users . The templateTitle[0] templateXLabel[0] in templateXValue[0] was ranked first with templateYValue[1] templateScale of templateYLabel[1] .
The statistic shows templateTitleSubject[0] templateTitle[5] players with the most templateYLabel[0] templateYLabel[1] in franchise history . templateXValue[0] is the templateTitle[0] templateYLabel[0] leader with the templateTitleSubject[0] Saints with templateYValue[max] templateYLabel[1] .
This statistic provides information on the templateYLabel[0] of templateTitle[0] templateTitle[1] an active templateTitleSubject[0] or templateTitleSubject[0] subscription in the templateTitle[6] as of 2017 , sorted templateTitle[8] templateTitle[9] . According to the source , templateYValue[max] templateScale of templateXValue[1] who subscribe to online video or music subscriptions had a templateTitleSubject[0] or templateTitleSubject[0] subscription as of 2017 .
The statistic shows the templateYLabel[2] templateTitle[0] templateTitle[1] templateTitle[2] ( templateYLabel[0] ) templateYLabel[1] templateYLabel[2] in the templateTitleSubject[0] from templateXValue[min] to templateXValue[7] , with projections up until templateXValue[max] . templateYLabel[0] is the total value of all goods and services produced in a templateXLabel[0] . It is considered to be a very important indicator of the economic strength of a country .
This statistic displays the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateTitleDate[min] to templateTitleDate[max] . In templateTitleDate[max] , templateYLabel[0] in templateTitleSubject[0] was templateYValue[0] templateScale .
This statistic shows the results of a survey among templateTitleSubject[0] adult Americans on the templateTitle[0] of templateTitle[1] . The survey respondents , templateValue[1][0] templateScale of respondents stated that they think that they used the templateValue[0][0] templateTitle[1] templateValue[0][0] .
The statistic presents the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[5] in the templateTitle[0] in templateTitleDate[0] , templateTitle[7] templateXLabel[1] . According to the report , the templateTitleSubject[0] templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateXValue[0] amounted to about templateYValue[max] templateYLabel[3] that year .
This statistic gives information on the average templateYLabel[0] of the templateTitleSubject[0] in templateTitleDate[0] , templateTitle[4] templateXLabel[0] . The templateXValue[0] accounted for over templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] in the templateYLabel[3] templateYLabel[4] .
The statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] and templateXValue[max] . According to the source , the data are ILO estimates . In templateXValue[max] , the estimated templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] was at templateYValue[idxmax(X)] templateScale .
The timeline shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] in the templateTitle[0] from templateXValue[last] to templateXValue[0] . According to the report , the templateTitleSubject[0] templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] amounted to about templateYValue[min] templateYLabel[3] in templateXValue[idxmin(Y)] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateYLabel[3] templateTitle[4] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] of templateTitleSubject[0] employees was templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateTitle[0] templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the average templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] amounted to approximately templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateTitle[0] templateTitle[1] of templateTitle[2] templateTitle[3] templateTitle[4] in the templateTitle[5] in templateTitleDate[0] , templateTitle[6] templateTitle[7] . During the survey , templateValue[1][1] templateScale of the templateTitle[0] were female inhabitants in the templateTitleSubject[0] .
The statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] to the templateTitle[3] templateTitle[4] templateTitle[5] ( templateYLabel[3] ) in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] amounted to about templateYValue[6] templateScale of the templateTitle[3] templateTitle[4] templateTitle[5] .
This statistic shows the templateTitle[0] of the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in templateTitleDate[0] . In that year , the templateXValue[0] had the highest templateYLabel[0] templateYLabel[1] of templateYValue[max] templateYLabel[2] templateYLabel[3] .
This statistic presents the templateYLabel[0] templateYLabel[1] of the templateTitle[0] templateTitle[1] templateXValue[3] templateXLabel[1] templateTitle[7] templateTitle[8] in templateTitleDate[0] . According to the survey , the average templateYLabel[0] templateYLabel[1] of the banking templateTitle[7] templateTitle[8] was templateXValue[0] , with a total of templateYValue[max] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[3] templateTitle[4] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the average templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] templateTitle[3] templateYLabel[3] was templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
The statistic shows templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) denotes the aggregate value of all services and goods produced within a country in any given templateXLabel[0] . templateTitle[3] is an important indicator of a country 's economic power .
This statistic gives information on the templateTitle[1] templateTitle[2] of templateTitleSubject[0] templateYLabel[1] as of templateTitleDate[0] , templateTitle[4] templateYLabel[0] from templateTitleSubject[0] . During that year , it was found that templateXValue[0] accounted for templateYValue[max] templateScale of all templateYLabel[2] .
The statistic shows the templateYLabel[0] of the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the company generated a templateYLabel[0] of approximately templateYValue[idxmax(X)] templateScale templateYLabel[2] .
templateTitleSubject[0] generated some templateYValue[0] templateScale templateYLabel[2] templateYLabel[3] in templateYLabel[0] figures in templateXValue[max] , down from templateYValue[1] templateScale a templateXLabel[0] earlier . The company generated templateYLabel[0] of templateYValue[idxmax(X)] templateScale templateYLabel[2] templateYLabel[3] in templateXValue[idxmax(Y)] .
This statistic shows the templateTitle[1] of templateTitle[2] and templateTitle[3] templateTitle[4] in the templateTitle[5] from templateTitleDate[min] to templateTitleDate[max] . In templateTitleDate[max] , the templateTitle[1] templateTitle[2] and templateTitle[3] templateTitle[4] in the templateValue[0][0] amounted to approximately templateValue[2][last] templateScale U.S. dollars .
This statistic displays the templateYLabel[0] of the leading templateTitle[0] templateTitle[1] worldwide in templateTitleDate[0] , templateTitle[4] templateXLabel[0] . In that year , the templateXValue[0] generated approximately templateYValue[max] templateScale templateYLabel[2] , a templateYLabel[0] of templateYValue[1] templateScale templateYLabel[2] , while in templateXValue[1] templateXValue[2] had the second at templateYValue[2] templateScale templateYLabel[2] .
The statistic shows the distribution of the templateTitle[1] templateTitle[2] templateYLabel[2] templateYLabel[1] in the templateTitleSubject[0] from the first templateXLabel[0] of templateTitleDate[min] to the fourth templateXLabel[0] of templateTitleDate[max] . According to the fourth templateXLabel[0] of that templateXLabel[0] , templateTitle[2] around templateYValue[last] templateScale in the templateTitle[4] .
This statistic shows the templateYLabel[0] of templateTitleSubject[1] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of templateTitleSubject[1] templateYLabel[1] in templateTitleSubject[0] is expected to reach templateYValue[idxmax(X)] templateScale , up from templateYValue[5] templateScale in templateXValue[5] .
The graph shows the teams with the most templateYLabel[1] in the templateTitleSubject[0] League as of 2019 . The templateXValue[0] had the highest templateYLabel[0] templateYLabel[1] with templateYValue[max] templateScale templateYLabel[4] .
This statistic shows the 20 templateTitle[0] of the templateTitle[2] in templateTitleDate[0] . In templateTitleDate[0] , the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] was templateXValue[0] , accounting for about templateYValue[max] templateYLabel[2] templateYLabel[3] .
This statistic shows the total templateYLabel[0] of templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of templateTitle[4] at templateYLabel[2] in templateTitleSubject[0] templatePositiveTrend by about templateYValue[idxmax(X)] templateScale .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at approximately templateYValue[idxmax(X)] templateScale .
The statistic shows the templateYLabel[2] templateTitleSubject[0] generated from its templateYLabel[0] templateYLabel[1] deal from the templateXValue[last] season to the templateXValue[0] season . In the templateXValue[0] season , templateTitleSubject[0] received templateYValue[max] templateScale templateYLabel[4] from its templateYLabel[0] sponsor Etihad .
Among templateXValue[0] templateTitle[11] groups templateTitle[2] on the United Kingdom ( templateTitleSubject[0] ) , with over templateYValue[max] templateScale of templateYLabel[1] that year . The most common result of a templateTitle[2] survey conducted in templateTitleDate[0] . Of respondents said that they had an average of more than 500 templateScale of six templateScale of templateTitle[8] tracking apps has templatePositiveTrend significantly within recent templateXValue[1] .
The statistic shows the templateYLabel[0] templateYLabel[1] of the carmaker templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . The templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] templateTitle[2] templateTitleSubject[0] in templateXValue[max] was templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] of templateYLabel[2] templateYLabel[3] of the templateTitle[7] distribution of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . The templateTitle[0] templateYLabel[0] of the templateTitleSubject[0] of templateTitleSubject[0] employees amounted to approximately templateYValue[0] templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] in templateXValue[max] .
As of 2019 , it was found that goods accounted for templateYValue[3] templateScale of all employees making it the templateTitle[0] templateYLabel[2] templateYLabel[3] in the country . The site 's it goods templateXValue[2] has also templateYValue[2] templateScale of any templateXValue[2] and templateYValue[2] templateScale of all templateYLabel[2] templateYLabel[3] .
This statistic gives information on the templateTitle[0] templateTitle[1] templateTitle[2] of templateTitle[4] in the templateTitle[5] as of 2019 , ranked by templateXValue[0] . According to the source , templateXValue[0] was ranked first , with over templateYValue[max] templateScale templateYLabel[1] templateYLabel[2] .
The statistic shows the templateTitle[0] templateTitle[1] of the templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the templateTitle[0] templateTitle[1] of the templateTitleSubject[0] amounted to around templateYValue[6] templateScale templateYLabel[0] .
This statistic shows the templateYLabel[0] of templateTitle[2] templateTitle[3] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[5] , there were approximately templateYValue[5] templateScale templateTitle[2] templateTitle[3] templateYLabel[1] in templateTitleSubject[0] , and this figure is projected to grow to templateYValue[idxmax(X)] templateScale in templateXValue[idxmax(Y)] .
This statistic shows the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] templateYLabel[0] worldwide from templateTitleDate[min] to templateTitleDate[max] . In templateTitleDate[max] , the templateXValue[0] had an templateYLabel[0] of templateYValue[max] templateYLabel[2] templateYLabel[3] .
The statistic presents the templateYLabel[2] templateTitle[0] of the templateTitleSubject[0] worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] of templateYLabel[2] in the templateTitleSubject[0] amounted to templateYValue[3] templateScale templateYLabel[2] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateYLabel[3] of templateTitleSubject[0] templateTitleSubject[0] from templateXValue[last] to templateXValue[0] . In templateXValue[0] , the templateTitle[0] templateTitle[1] in templateTitleSubject[0] was templateYValue[max] templateYLabel[2] templateYLabel[3] .
It was found that templateYValue[max] templateScale of the people using using templateXValue[0] in the United Kingdom ( templateTitleSubject[0] ) . The next highest amount of adult templateXValue[1] during the survey period , with templateYValue[1] templateScale of respondents said that they intended to their templateXValue[0] .
This graph depicts the templateYLabel[1] of the templateTitleSubject[0] templateTitle[3] templateYLabel[0] of the National Basketball Association from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] had an estimated templateYLabel[1] of templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] .
This statistic shows the growth in the templateYLabel[3] templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] to templateTitleSubject[0] templateTitle[4] templateXValue[min] , with a forecast for templateXValue[max] . In templateXValue[max] , the templateYLabel[2] of templateTitle[2] in the country stood at approximately templateYValue[idxmax(X)] templateScale templateYLabel[3] templateYLabel[4] .
This statistic shows the templateYLabel[0] of templateTitleSubject[1] templateYLabel[1] in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[5] , it is estimated that there will be around templateYValue[5] templateScale templateTitle[2] templateTitle[3] templateYLabel[1] in the country , up from templateYValue[idxmin(X)] templateScale in templateXValue[idxmin(Y)] .
This statistic shows the templateTitle[0] templateTitle[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . The templateTitle[0] templateTitle[1] is the average templateYLabel[0] of templateYLabel[1] a templateYLabel[4] will have during her child-bearing years . In templateXValue[max] , the templateTitle[0] templateTitle[1] of templateTitleSubject[0] 's population was templateYValue[idxmax(X)] templateYLabel[1] templateYLabel[3] templateYLabel[4] .
The statistic shows the templateYLabel[1] in real templateYLabel[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , templateTitleSubject[0] 's real templateTitle[0] templateTitle[1] templateTitle[2] templatePositiveTrend by around templateYValue[6] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic shows the templateTitle[0] of templateTitle[1] in the templateTitleSubject[0] from templateValue[0][last] to templateValue[0][0] , templateTitle[7] templateTitle[8] . In templateValue[0][0] , the templateTitle[0] of the templateTitleSubject[0] in the templateTitleSubject[0] was templateValue[1][0] U.S. dollars .
Recent figures tell us that the templateTitle[0] spent templateYValue[2] templateScale of its gross domestic product on templateTitle[1] care in templateXValue[2] . Projections show us that in the subsequent two years the templateTitle[1] spending in the templateTitleSubject[0] .
With a templateXLabel[0] templateYLabel[1] of around templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] , templateXValue[0] was the leading templateXValue[0] with a templateYLabel[1] of templateYValue[1] templateScale templateYLabel[3] templateYLabel[4] . This was followed by templateXValue[1] , templateXValue[2] with templateYValue[2] templateScale templateYLabel[3] templateYLabel[4] , and templateXValue[3] templateXValue[0] .
The statistic shows the templateTitle[0] of the templateTitleSubject[0] from templateTitleDate[min] to templateTitleDate[max] , sorted templateTitle[4] templateTitle[5] . According to the source , the templateTitle[0] of templateTitleSubject[0] in templateValue[0][0] in 2013 was templateValue[3][last] templateScale .
This statistic shows the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to about templateYValue[6] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic presents the templateScale of online consumers in the templateTitle[0] who are templateTitleSubject[0] templateTitle[2] members . During the 2017 survey period , it was found that templateYValue[max] templateScale of templateYLabel[1] had between templateYValue[min] and templateYValue[min] templateScale of templateYLabel[1] stated that they used the social network .
The statistic depicts the templateYLabel[0] templateYLabel[1] of the templateTitle[0] templateTitle[1] templateTitle[2] in the National Football League from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitle[1] templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] franchise was templateYValue[idxmax(X)] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] on templateTitle[4] in the templateTitleSubject[0] from templateTitleDate[min] to templateTitleDate[max] . In templateTitleDate[max] , the templateTitle[0] templateTitle[1] templateTitle[2] on templateTitle[2] templateTitle[3] templateTitle[4] amounted to about templateYValue[0] templateScale templateYLabel[1] templateYLabel[2] .
The statistic shows templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) denotes the aggregate value of all services and goods produced within a country in any given templateXLabel[0] . templateTitle[3] is an important indicator of a country 's economic power .
The statistic depicts the templateYLabel[2] of the templateTitle[1] templateTitle[2] templateYLabel[0] worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[min] , the templateYLabel[1] of the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateYLabel[0] was at templateYValue[idxmin(X)] templateScale templateYLabel[3] templateYLabel[4] .
The statistic gives information on the most popular templateTitle[1] templateTitle[2] in the templateTitle[0] in templateTitleDate[0] , sorted templateTitle[6] templateXLabel[0] . During the survey period , it was found that templateXValue[0] accounted for templateYValue[max] templateScale of all time .
The statistic shows the distribution of templateTitle[0] in templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , templateValue[1][0] templateScale of the employees in templateTitleSubject[0] were active in the agricultural templateTitle[3] , templateValue[2][0] templateScale in templateLabel[2][0] and templateValue[3][0] templateScale in the service templateTitle[3] .
This statistic provides a comparison of the average amount of time templateTitle[4] on templateTitle[5] housework by gender in templateTitleSubject[0] member templateTitle[8] as well as templateValue[0][21] , templateValue[0][2] and templateValue[0][12] . As of templateTitleDate[0] , Portuguese men templateTitle[4] templateValue[1][3] templateTitle[1] templateTitle[2] templateTitle[3] on unpaid templateTitle[6] on templateTitle[0] while for women the templateTitle[0] was templateValue[2][3] templateTitle[1] .
This statistic shows the ranking of templateXLabel[0] templateXLabel[1] templateTitle[2] in the templateTitleSubject[0] as of 2019 . During that period of time , templateXValue[0] had the largest templateYLabel[0] of templateYValue[max] templateScale templateYLabel[1] templateYLabel[2] .
This statistic displays the templateYLabel[0] of templateYLabel[1] working at the templateTitle[0] templateTitleSubject[0] templateTitle[2] in templateTitleDate[0] , templateTitle[4] templateXLabel[0] . According to the source , templateXValue[0] had the highest templateYLabel[0] of templateYLabel[1] , with templateYValue[max] thousand people .
The statistic shows the templateYLabel[0] of templateYLabel[1] of the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] of templateTitleSubject[0] was approximately templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
The statistic shows the templateTitle[0] templateTitle[1] in the templateTitle[2] from templateXValue[last] to templateXValue[0] . templateXValue[0] , the templateTitle[0] templateTitle[1] templateTitle[2] in templateXValue[0] amounted to templateYValue[max] templateYLabel[2] templateYLabel[3] .
The statistic presents the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the templateTitle[6] as of 2013 . During the survey , it was found that the templateXValue[0] accounted for templateYValue[max] templateScale of the templateXValue[last] with templateYValue[min] templateScale of the templateXValue[last] respondents .
The statistic shows the templateYLabel[0] of the templateTitle[1] templateTitle[2] templateTitleSubject[0] templateTitle[4] in templateTitleDate[0] , templateTitle[7] templateTitle[8] . According to the source , there were over templateYValue[2] templateYLabel[2] templateYLabel[3] of people in templateXValue[2] .
The statistic shows the templateTitle[5] templateTitle[6] templateTitle[7] in the templateTitle[0] in templateTitleDate[0] , templateTitle[2] templateTitle[3] templateTitle[4] . In templateTitleDate[0] , the templateLabel[0][0] of the European Union in templateValue[0][0] was the highest in the world with a templateTitle[4] of templateValue[2][0] templateScale .
The statistic shows the templateYLabel[0] of the total templateYLabel[2] in the templateTitleSubject[0] from templateXValue[min] to templateXValue[7] , with projections up until templateXValue[max] . According to the total market value of all goods and services produced in a country in a templateXLabel[0] . It is considered to be a very important indicator of the economic strength of a country and a positive change is an indicator of economic growth .
In templateXValue[5] , the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] amounted to templateYValue[5] templateScale . This figure is projected to grow to templateYValue[max] templateScale in templateXValue[idxmax(Y)] . The templateYLabel[1] penetration in templateTitleSubject[0] is projected to grow to templateYValue[idxmax(X)] templateScale in templateXValue[idxmax(Y)] .
This statistic shows the 20 templateTitle[0] of the member states of the templateTitle[2] templateTitle[3] templateTitle[4] in templateTitleDate[0] . In templateTitleDate[0] , the templateXValue[0] had the largest templateYLabel[0] templateYLabel[1] of templateYValue[max] templateYLabel[2] templateYLabel[3] .
As of 2019 , templateXValue[0] was ranked first among the templateTitle[0] templateTitle[1] templateTitle[2] templateXValue[0] , with a templateYLabel[0] of templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] . templateXValue[1] , templateXValue[2] with templateYValue[2] templateScale templateYLabel[2] templateYLabel[3] in the templateTitle[4] . .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[0] templateTitle[1] in templateTitleDate[0] . In templateTitleDate[0] , the templateXValue[0] had the highest templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] was templateYValue[max] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] the United Kingdom ( templateTitleSubject[0] ) templateYLabel[0] templateYLabel[1] from the first templateXLabel[0] of templateTitleDate[min] to the fourth templateXLabel[0] of templateTitleDate[max] . In the second templateXLabel[0] of templateTitleDate[max] , the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] of templateTitleSubject[0] was templateYValue[0] templateScale templateYLabel[3] .
This statistic shows the templateYLabel[0] of The templateTitleSubject[0] templateYLabel[1] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , U.S.-based restaurant chain The templateTitleSubject[0] had templateYValue[max] templateYValue[idxmax(X)] , up from templateYValue[1] the previous templateXLabel[0] .
This statistic gives information on the templateTitleSubject[0] templateTitle[1] templateTitle[2] in the templateTitle[0] from templateValue[0][last] to templateValue[0][0] , sorted templateTitle[5] templateTitle[6] . In templateValue[0][0] , the templateTitle[1] of templateTitle[2] in the templateTitle[0] amounted to templateValue[1][0] templateScale templateYLabel[2] templateYLabel[3] , up from templateValue[1][last] templateScale of the previous templateLabel[0][0] .
This statistic represents the total templateYLabel[0] of templateTitle[2] in the templateTitle[0] between templateXValue[min] and templateXValue[max] . In templateXValue[max] , templateTitle[2] produced approximately templateYValue[idxmax(X)] templateScale templateYLabel[2] templateYLabel[3] of templateTitle[1] were produced worldwide .
The statistic shows the templateTitle[0] of the employees in the United Kingdom ( templateTitleSubject[0] ) from templateValue[0][last] to templateValue[0][0] , templateTitle[4] templateTitle[5] . In templateValue[0][0] , the templateTitle[0] of employees in the templateTitleSubject[0] was templateValue[1][0] templateScale .
This statistic shows the templateTitle[0] of the templateTitle[1] templateTitle[2] templateTitleSubject[0] templateTitle[4] in templateTitleDate[0] . According to the source , the templateXValue[0] is the templateTitle[0] of people using templateTitle[0] with a total of templateYValue[max] templateYLabel[2] templateYLabel[3] .
In templateTitleDate[max] , the templateTitle[0] templateTitle[1] in templateTitleSubject[0] amounted to templateYValue[max] templateScale . In the templateTitle[0] templateTitle[1] in templateTitleSubject[0] had templateNegativeTrend to templateYValue[1] templateScale . The term of the Chinese government in the Chinese government in the Chinese , the Chinese government as well as changing family and work situations of the Chinese people , templateTitle[0] templateTitle[1] has subsided over the past decades .
This statistic shows the templateTitle[0] of templateTitle[1] templateTitle[2] of the United Kingdom ( templateTitleSubject[0] ) from templateValue[0][last] to templateValue[0][0] , templateTitle[4] templateTitle[5] . According to the source , templateValue[1][0] templateScale of people were employed in templateValue[0][0] .
This statistic shows the results of a survey among templateTitleSubject[0] adult templateTitle[1] . The survey was fielded templateXValue[3] by Harris Interactive in 2014 , templateYValue[max] templateScale of the templateYLabel[1] stated that they used templateTitle[2] the social network .
This statistic shows the 20 templateTitleSubject[0] templateTitle[1] the templateTitle[2] templateTitle[3] in templateTitleDate[0] , sorted templateTitle[5] templateXLabel[0] . It was that year , templateXValue[0] had the largest templateYLabel[0] templateYLabel[1] of templateYValue[max] templateYLabel[2] templateYLabel[3] .
This statistic gives information on the templateYLabel[0] of the templateTitle[0] templateTitle[2] templateTitle[3] in the templateTitle[4] as of 2019 . During the survey period , it was found that templateXValue[0] accounted for templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] of the templateTitle[0] templateTitle[4] templateYLabel[0] . templateXValue[1] was ranked second with templateYValue[1] templateScale templateYLabel[2] templateYLabel[3] in templateYLabel[0] .
This statistic shows the templateYLabel[0] of templateTitle[2] templateTitle[3] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[5] , there were around templateYValue[5] templateScale templateTitle[2] templateTitle[3] templateYLabel[1] in the templateTitle[2] templateTitle[3] templateYLabel[1] in the templateTitleSubject[0] , up from templateYValue[min] templateScale in templateXValue[idxmin(Y)] .
The statistic shows the ranking of the templateTitle[1] the leading templateTitle[1] worldwide in templateTitleDate[0] , templateTitle[4] . templateXValue[0] produced a reported templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] of templateTitleSubject[0] templateTitle[1] .
The statistic shows the templateYLabel[0] templateYLabel[1] of the member states templateTitle[4] templateTitleSubject[0] in templateTitleDate[0] . In that year , the templateYLabel[0] templateYLabel[1] of the templateXValue[0] amounted to templateYValue[max] .
This statistic shows the total templateYLabel[0] of the templateTitle[1] templateTitleSubject[0] professional templateTitle[3] templateTitle[4] ( templateTitle[5] Five ) from templateXValue[last] to templateXValue[0] . In the templateXValue[2] season , the total templateYLabel[0] of the `` templateTitle[5] Five '' templateTitle[4] was estimated at templateYValue[2] templateScale templateYLabel[2] .
The statistic shows the templateYLabel[0] of templateYLabel[1] due to templateTitle[0] in the templateTitle[1] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were a total of templateYValue[idxmax(X)] templateYLabel[1] reported due to the templateTitle[1] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] ( templateYLabel[0] ) in the templateTitleSubject[0] from templateXValue[min] to templateXValue[7] , with projections up until templateXValue[max] . The templateYLabel[0] refers to the total market value of all goods and services that are produced within a country per templateXLabel[0] . It is an important indicator of the economic strength of a country .
This statistic shows the templateYLabel[0] of pharmaceutical company templateTitleSubject[0] for templateTitle[2] and templateTitle[3] from templateXValue[min] to templateXValue[max] . templateTitleSubject[0] Pharmaceutical Industries is one of the largest generic drug manufacturers in the world . In templateXValue[max] , the company invested about templateYValue[0] templateScale templateYLabel[2] templateYLabel[3] in templateTitle[2] templateTitle[3] .
This statistic shows the templateScale of templateTitle[1] in the United Kingdom ( templateTitleSubject[0] ) templateTitle[3] from templateValue[0][last] to templateValue[0][0] , templateTitle[7] templateTitle[8] . In templateValue[0][0] , the templateTitle[7] of templateLabel[1][0] templateLabel[1][1] templateLabel[1][1] templateLabel[1][2] are predicted to reach templateValue[1][0] templateScale , while in comparison , half of the other three templateScale of the templateTitle[1] .
The statistic shows templateTitleSubject[0] templateTitle[1] templateYLabel[0] templateYLabel[1] in templateYLabel[2] to templateYLabel[3] between templateXValue[min] and templateXValue[6] , with projections up until templateXValue[max] . A positive value indicates a templateYLabel[0] surplus , a negative value indicates a deficit . In templateXValue[max] , templateTitleSubject[0] templateTitle[1] surplus amounted to around templateYValue[idxmax(X)] templateScale of templateYLabel[3] .
This statistic shows the 20 templateTitleSubject[0] templateTitle[1] the templateTitle[2] templateTitle[3] in templateTitleDate[0] , based on templateTitle[7] templateXLabel[0] . In templateTitleDate[0] , the templateXValue[0] had the highest templateYLabel[0] templateYLabel[1] of templateYValue[max] templateYLabel[2] templateYLabel[3] .
Since the first half of templateXValue[17] , household templateTitle[0] templateTitle[1] in templateTitleSubject[0] have seen an overall templatePositiveTrend , templatePositiveTrend to templateYValue[max] templateYLabel[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] ( kWh ) in the first half of templateXValue[0] . This was the highest price during the reporting period . templateTitle[1] templateNegativeTrend noticeably between templateXValue[9] and the first half of templateXValue[7] , with templateTitle[3] paying less than templateYValue[min] templateYLabel[0] templateYLabel[1] templateYLabel[2] kWh .
The statistic shows the templateYLabel[1] in real templateYLabel[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , templateTitleSubject[0] 's real templateTitle[0] templateTitle[1] templateTitle[2] templatePositiveTrend by around templateYValue[6] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic shows the templateTitle[0] templateTitle[1] of templateTitleSubject[0] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , templateValue[1][0] templateScale of the employees in the templateTitleSubject[0] were templateLabel[2][0] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[7] of the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the average templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] amounted to templateYValue[0] templateYValue[idxmax(X)] templateYLabel[3] .
The statistic shows the 20 templateTitleSubject[0] templateTitle[1] the templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in templateTitleDate[0] . templateXValue[0] had the highest rate of templateYValue[max] templateYLabel[2] templateYLabel[3] .
This statistic shows the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to about templateYValue[6] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
The statistic depicts the templateYLabel[0] of the templateTitleSubject[0] , a franchise of the National Football League , from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of the templateTitleSubject[0] was templateYValue[max] templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
This statistic displays the templateYLabel[0] of ONE templateYLabel[1] as of 2 , templateTitleDate[0] . The Japanese transportation company had templateYLabel[1] with a capacity of around 1.6 templateScale twenty-foot-equivalent units in its fleet , which could be broken down to some 530,000 twenty-foot-equivalent units of templateXValue[1] capacity and around one templateScale twenty-foot equivalent units of templateXValue[0] capacity .
This statistic shows the templateTitle[0] of templateTitle[1] of templateTitleSubject[0] templateTitle[3] from templateValue[0][0] to templateValue[0][last] , templateTitle[4] templateTitle[5] . In the fiscal templateLabel[0][0] of templateValue[0][last] , templateTitleSubject[0] employed templateValue[2][last] templateScale U.S. dollars in the templateLabel[2][0] .
This statistic provides information on the average amount of time templateTitle[4] in templateTitleSubject[0] in templateTitleDate[0] , sorted templateTitle[6] templateTitle[7] . As of that time , it was found that templateValue[1][0] templateScale of that templateValue[2][0] templateScale of templateLabel[2][0] templateTitle[4] had reported .
This statistic gives information on the templateTitle[0] templateYLabel[0] of templateTitle[2] on templateTitle[4] templateXValue[0] . As of the survey period , it was found that templateValue[2][0] templateScale of 2019 , it templateXValue[last] templateXValue[2] .
The statistic depicts the templateTitle[0] templateTitle[1] in templateTitleSubject[0] from templateValue[0][last] to templateValue[0][0] . The templateTitle[0] templateTitle[1] measures the templateScale of people aged 15 and above who can read and write . In templateValue[0][0] , templateTitleSubject[0] 's templateTitle[0] templateTitle[1] was around templateValue[1][0] templateScale .
The statistic shows the distribution of templateTitleSubject[0] employees templateTitle[4] as of 2019 , templateTitleDate[0] , broken down templateTitle[8] templateXLabel[0] . The templateXValue[0] , with over templateYValue[max] templateScale of the templateYLabel[3] templateYLabel[4] of people , followed by templateXValue[1] with templateYValue[1] templateScale templateYLabel[3] .
The statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . The amount of the templateYLabel[1] of the templateTitleSubject[0] amounted to around templateYValue[6] templateScale templateYLabel[3] templateYLabel[4] in templateXValue[6] .
This statistic shows the templateTitle[0] of the templateTitle[1] templateTitle[2] in the templateTitleSubject[0] from templateTitleDate[min] to templateTitleDate[max] . In templateXValue[last] , there were just over templateYValue[max] templateScale of the templateTitle[0] templateYLabel[0] during the templateTitleSubject[1] .
This graph depicts the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] of the National Football League from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] came to templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] . The templateTitleSubject[0] are owned by Terry and Kim Pegula .
This statistic shows the templateYLabel[0] of people employed by agricultural company templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] had a total of templateYValue[idxmax(X)] templateYLabel[1] .
This statistic shows the degree of templateTitle[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . templateTitle[0] means the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateYLabel[3] templateYLabel[2] of a country . In templateXValue[max] , templateYValue[idxmax(X)] templateScale of templateTitleSubject[0] 's templateYLabel[3] templateYLabel[2] lived in templateYLabel[1] areas and cities .
The statistic shows the templateYLabel[1] templateYLabel[2] of the real templateTitle[0] templateTitle[1] templateTitle[2] ( templateYLabel[0] ) in the templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . templateYLabel[0] refers to the total market value of all goods and services that are produced within a country per templateXLabel[0] . It is an important indicator of the economic strength of a country .
This statistic shows the templateYLabel[0] of templateYLabel[2] templateYLabel[3] of the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] from templateXValue[min] to templateXValue[max] . According to the source , the templateTitle[0] of the templateTitleSubject[0] was templateYValue[idxmin(X)] templateScale templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] of recreational templateYLabel[1] to the templateTitleSubject[0] Memorial in the templateTitle[5] from templateXValue[min] to templateXValue[max] . The templateYLabel[0] of templateYLabel[1] to the templateTitleSubject[0] Memorial amounted to approximately templateYValue[0] templateYValue[idxmax(X)] in templateXValue[max] .
This statistic shows the templateYLabel[0] of the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in templateTitleDate[0] , templateTitle[6] templateXLabel[0] . According to the source , the people , the templateXValue[0] was the templateTitle[2] , with a total of templateYValue[max] templateYLabel[1] , followed by templateXValue[1] with templateYValue[1] templateScale .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitle[1] templateTitle[2] in templateTitleSubject[0] was at about templateYValue[idxmax(X)] templateYLabel[0] templateYLabel[1] 1,000 templateYLabel[3] templateYLabel[4] .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in the templateTitle[4] in templateTitleDate[0] . The templateXValue[0] had the highest templateYLabel[0] of templateYLabel[1] at templateYValue[max] templateScale templateYLabel[4] dollars .
This statistic shows the templateYLabel[0] of templateYLabel[2] templateYLabel[3] of the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] of templateTitleSubject[0] templateYLabel[1] in the country was templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
The statistic presents the templateYLabel[0] of the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the source of the Major League Baseball franchise amounted to templateYValue[idxmax(X)] templateScale templateYLabel[2] templateYLabel[3] .
This statistic shows the templateTitle[0] of templateTitleSubject[0] , distinguished templateTitle[2] templateXValue[5] and templateXValue[2] origin in templateTitleDate[0] . In templateTitleDate[0] , about templateYValue[1] templateScale people in templateTitleSubject[0] were templateXValue[1] or templateXValue[1] .
This statistic shows the templateYLabel[0] ranking of templateXLabel[0] templateXLabel[1] in templateTitleDate[0] , sorted templateTitle[5] templateXLabel[1] . In that year , templateYValue[max] templateScale of the templateYLabel[1] in templateYLabel[2] was living in templateXValue[0] .
This statistic shows the results of a survey among templateTitleSubject[0] adult Americans on the templateTitle[0] of templateTitle[1] in the templateTitleSubject[1] as of 2019 . During the survey , it was found templateXValue[1] templateYValue[min] templateScale of templateYLabel[1] stated that they were templateXValue[last] .
The statistic shows templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) denotes the aggregate value of all services and goods produced within a country in any given templateXLabel[0] . templateTitle[3] is an important indicator of a country 's economic power .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] the United Kingdom ( templateTitleSubject[0] ) in templateTitleDate[0] . The templateTitle[0] templateYLabel[0] of the templateTitleSubject[0] in templateTitleDate[0] was templateXValue[0] with over templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] .
This statistic gives information on the templateTitle[0] templateTitle[1] templateTitle[2] of the templateTitle[4] as of 2019 , sorted templateTitle[6] templateTitle[7] . During the survey , it was found that templateValue[1][max] templateScale of respondents aged templateLabel[1][0] templateLabel[1][1] stated that they had a templateTitle[0] templateTitle[1] of templateValue[1][last] templateScale .
This statistic shows consumers ' templateTitle[0] templateTitle[1] templateYLabel[0] on the templateTitleSubject[0] from the first templateXLabel[0] of templateTitleDate[min] to the fourth templateXLabel[0] of templateXValue[0] . In the most recently reported templateXLabel[0] , templateYLabel[0] on templateTitle[1] sector amounted to over templateYValue[max] templateScale British pounds .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] of the templateTitle[3] in the templateTitleSubject[0] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , the templateTitle[0] templateTitle[1] templateTitle[2] of the templateTitleSubject[0] amounted to approximately templateValue[1][0] templateScale .
The statistic presents the global templateYLabel[0] generated by the templateYLabel[2] advertising giant templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] templateTitle[2] global templateYLabel[0] was templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] , up from templateYValue[1] templateScale a templateXLabel[0] earlier .
The statistic shows the results of a survey concerning the leading highest-paid templateTitleSubject[0] in templateTitleDate[0] . templateValue[0][0] earned templateValue[1][0] templateScale U.S. dollars in the templateTitle[4] and templateValue[2][0] templateScale U.S. dollars in templateTitleDate[0] .
The statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] and templateXValue[max] . According to the source , the data are ILO estimates . In templateXValue[max] , the estimated templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] was at templateYValue[idxmax(X)] templateScale .
The statistic shows the templateTitle[5] of adults in the templateTitleSubject[0] who have used templateTitle[1] templateTitle[2] templateTitleDate[0] , templateTitle[4] templateLabel[0][0] . According to the survey period , it was found that templateValue[1][0] templateScale of templateLabel[2][0] respondents said that they had a templateLabel[2][0] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateYLabel[2] templateYLabel[3] templateTitle[7] of the templateTitle[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] of the templateTitleSubject[0] was templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in the templateTitleSubject[0] from templateValue[0][last] to templateValue[0][6] , with projections up until templateValue[0][0] . In templateValue[0][6] , the average templateTitle[0] templateTitle[1] in templateTitleSubject[0] amounted to about templateValue[1][6] templateScale compared to the previous templateLabel[0][0] .
This statistic shows the number of templateTitle[1] in the templateTitle[0] as of templateTitleDate[0] , sorted templateTitle[6] templateTitle[7] . During the survey period , it was found that templateValue[2][0] templateLabel[2][0] templateTitle[1] in the templateTitle[0] .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateYLabel[0] in the templateTitle[5] in templateTitleDate[0] . In that year , templateXValue[0] was the templateTitle[0] templateTitle[1] templateXLabel[0] templateXLabel[1] with a templateYLabel[0] of templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] .
The statistic shows the templateYLabel[0] templateYLabel[1] of the templateYLabel[2] templateYLabel[3] of the templateTitle[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the average templateYLabel[0] templateYLabel[1] of a templateYLabel[4] of templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This statistic shows templateTitle[0] templateTitle[1] in the templateTitle[2] templateTitleSubject[0] in templateTitleDate[0] , templateTitle[5] share of templateTitle[0] templateYLabel[1] . In templateTitleDate[0] , around templateYValue[max] templateScale of templateYLabel[1] , in templateTitle[2] countries , identified as Hindu .
This statistic shows the templateTitle[0] of the templateTitle[1] templateTitle[2] of templateTitle[3] templateTitle[4] templateTitle[5] in templateTitleDate[0] . During that time , templateValue[0][0] had the highest templateTitle[0] templateTitle[1] of templateValue[0][0] , with templateValue[1][0] templateScale of respondents reached templateValue[2][0] templateScale U.S. dollars in templateValue[0][0] .
The statistic shows the distribution of templateTitle[0] in templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , templateValue[1][0] templateScale of the employees in templateTitleSubject[0] were active in the agricultural templateTitle[3] , templateValue[2][0] templateScale in templateLabel[2][0] and templateValue[3][0] templateScale in the service templateTitle[3] .
This statistic shows the templateYLabel[0] of templateYLabel[2] templateYLabel[3] of the templateTitle[0] templateYLabel[0] templateYLabel[1] templateTitle[3] templateTitle[4] templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] of templateTitleSubject[0] templateTitle[3] templateYLabel[3] was templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
This statistic provides information on the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[5] , templateTitleSubject[0] had templateYValue[5] templateScale templateYLabel[1] templateYLabel[2] . This figure is projected to grow to templateYValue[idxmax(X)] templateScale in templateXValue[idxmax(Y)] .
This statistic shows the templateTitle[0] templateTitle[1] templateXLabel[0] templateTitle[3] of templateXValue[0] templateYLabel[3] templateTitle[6] templateTitle[7] in the United Kingdom ( UK ) in templateTitleDate[0] . templateXValue[0] had the highest templateYLabel[0] templateYLabel[1] , with templateYValue[max] templateYLabel[2] templateYLabel[3] of templateYLabel[1] , followed by templateXValue[1] with templateYValue[1] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] of templateYLabel[2] in the templateTitle[1] templateTitle[3] were using templateTitle[5] networks as of 2019 , sorted templateTitle[8] templateXLabel[0] . During that period of time , templateYValue[max] templateScale of adult templateXValue[last] and templateYValue[min] templateScale of adult templateYLabel[1] templateYLabel[2] respectively .
This statistic shows the templateTitle[0] templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . The templateTitle[0] of templateTitleSubject[0] was templateYValue[max] templateYValue[idxmax(X)] templateYLabel[3] templateYLabel[4] in templateXValue[idxmax(Y)] , up from templateYValue[1] the previous templateXLabel[0] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateYLabel[3] templateTitle[1] templateTitle[2] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the average templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] stood at templateYValue[idxmax(X)] templateYLabel[3] templateYLabel[4] .
How many templateTitle[0] students are there in the templateTitleSubject[0] ? In templateValue[0][11] , there were templateValue[1][11] templateScale templateTitle[0] students in the templateTitleSubject[0] enrolled in templateTitle[2] colleges and templateValue[2][11] templateScale students enrolled in templateTitle[3] colleges . These figures are expected to templatePositiveTrend to templateValue[1][0] templateScale and templateValue[2][0] templateScale respectively by the templateLabel[0][0] templateValue[0][0] . The difference between templateTitle[2] and templateTitle[3] colleges There are lots of different colleges and universities in the templateTitle[5] , and one key aspect when students choose which templateTitle[0] to attend is whether it is a templateTitle[2] or templateTitle[3] institution .
This statistic shows the degree of templateTitle[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . templateTitle[0] means the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateYLabel[3] templateYLabel[2] of a country . In templateXValue[max] , templateYValue[idxmax(X)] templateScale of templateTitleSubject[0] 's templateYLabel[3] templateYLabel[2] lived in templateYLabel[1] areas and cities .
This statistic shows the templateTitle[0] of templateTitle[1] templateTitle[2] templateTitle[3] in the United Kingdom ( templateTitleSubject[0] ) in templateTitleDate[0] , templateTitle[8] templateTitle[9] . In templateTitleDate[0] , the average templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in the templateValue[0][1] stood at templateValue[1][1] templateScale in templateValue[0][1] .
The statistic shows the templateTitle[0] templateTitle[1] templateYLabel[0] of the templateTitleSubject[0] templateTitle[4] templateTitle[5] in templateTitleDate[0] . According to the source , templateXValue[0] had the largest templateTitle[0] templateTitle[1] of templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] .
This statistic depicts the worldwide templateYLabel[0] of templateTitle[2] sponsorship from templateXValue[min] to templateXValue[max] . In templateXValue[1] , the templateTitleSubject[0] templateYLabel[0] of templateTitle[2] templateTitle[3] templateTitle[4] amounted to templateYValue[1] templateScale templateYLabel[2] templateYLabel[3] .
The statistic shows the templateYLabel[1] in real templateYLabel[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , templateTitleSubject[0] 's real templateTitle[0] templateTitle[1] templateTitle[2] templatePositiveTrend by around templateYValue[6] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic shows the templateTitle[0] of templateTitle[1] of the templateTitleSubject[0] templateTitle[3] templateTitle[4] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , templateValue[1][0] templateScale of the employees were employed in the templateTitleSubject[0] , templateValue[2][0] templateScale U.S. dollars .
This statistic shows the templateTitle[0] templateYLabel[0] of the templateTitle[3] templateTitleSubject[0] from 2019 to 2020 . In templateTitle[4] templateTitleDate[0] , the templateTitle[0] templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] amounted to approximately templateYValue[0] templateYLabel[2] templateYLabel[3] .
The statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[3] templateYLabel[4] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , templateYValue[idxmin(X)] templateScale people accessed the templateYLabel[3] through their templateYLabel[1] templateYLabel[2] . In templateXValue[max] , this figure is projected to amount to templateYValue[idxmax(X)] templateScale templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
In templateXValue[max] , templateYValue[idxmax(X)] people died as a result of templateTitle[3] templateTitle[2] in templateTitleSubject[0] and templateTitleSubject[1] , this was by far the highest amount of recorded templateYLabel[1] in the 25-year period shown . Since the turn of the century , the templateYLabel[0] of templateYLabel[1] has remained relatively high apart templateTitle[1] a drastic fall in templateXValue[8] and templateXValue[7] before subsequently templatePositiveTrend again . Seriousness of MDMA offences In the United Kingdom ( UK ) MDMA is categorized as a class A drug which means it carries the most severe penalties for both possession and supply .
The statistic shows the templateYLabel[0] of templateYLabel[1] of the templateTitleSubject[0] templateTitle[3] templateTitle[4] templateXValue[min] to templateXValue[max] . In templateXValue[max] , the average templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] templateTitle[3] templateTitle[4] was templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
The statistic shows the templateYLabel[0] of the templateTitleSubject[0] franchise from the templateXValue[last] season to the templateXValue[0] season . In templateXValue[0] , the estimated templateYLabel[0] of the National Basketball Association franchise amounted to templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] .
Total templateYLabel[1] , templateXValue[0] and templateXValue[2] were the most templateXValue[7] and with the highest templateYLabel[0] of people , with templateYValue[max] templateScale templateYLabel[4] . The templateYLabel[0] of templateYLabel[1] who have experienced templateTitle[0] since templateXValue[2] with templateYValue[2] templateScale templateYLabel[1] , respectively .
This statistic shows the templateYLabel[0] of templateTitle[1] templateTitle[2] templateYLabel[1] in the templateTitle[0] from templateXValue[min] to templateXValue[max] . In templateXValue[2] , the templateYLabel[0] of templateYLabel[1] in the templateTitleSubject[0] amounted to templateYValue[3] templateScale .
The statistic shows the templateTitle[0] of the templateTitle[1] templateTitle[2] templateTitle[3] ( templateTitle[4] ) templateTitle[5] templateTitle[6] templateTitle[7] in templateTitleSubject[0] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , templateLabel[1][0] contributed around templateValue[1][0] templateScale to the templateTitle[4] of templateTitleSubject[0] , templateValue[2][0] templateScale came from the templateLabel[2][0] and templateValue[3][0] templateScale from the service sector .
This statistic shows the templateYLabel[0] of templateYLabel[1] in templateTitle[1] in the templateTitle[2] templateTitle[3] templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of templateYLabel[1] ( aged six years and older ) in templateTitle[1] amounted to approximately templateYValue[idxmax(X)] templateScale .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateYLabel[2] templateYLabel[3] worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[min] , the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] templateTitle[2] templateTitle[3] amounted to templateYValue[idxmin(X)] templateScale templateYLabel[3] .
The statistic shows the templateTitle[0] templateTitle[1] ( templateYLabel[0] ) of the templateTitleSubject[0] 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 templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at approximately templateYValue[idxmax(X)] templateScale .
The statistic shows the templateYLabel[0] of templateYLabel[1] due to templateTitle[0] in the templateTitle[1] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were a total of templateYValue[idxmax(X)] templateYLabel[1] reported due to templateTitle[0] in the templateTitle[1] .
The statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] and templateXValue[max] . According to the source , the data are ILO estimates . In templateXValue[max] , the estimated templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] was at templateYValue[idxmax(X)] templateScale .
This statistic illustrates the global templateYLabel[0] templateYLabel[1] of templateXValue[0] held by the largest templateXLabel[0] templateTitle[2] in the templateTitleSubject[0] in templateTitleDate[0] . The company had a templateYLabel[0] templateYLabel[1] of templateYValue[max] templateScale templateTitle[2] , followed templateTitle[5] templateXValue[1] , with a templateYLabel[0] templateYLabel[1] of templateYValue[1] templateScale .
The statistic shows the distribution of templateTitle[0] in templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , templateValue[1][0] templateScale of the employees in templateTitleSubject[0] were active in the agricultural templateTitle[3] , templateValue[2][0] templateScale in templateLabel[2][0] and templateValue[3][0] templateScale in the service templateTitle[3] .
In templateTitleDate[0] , the templateXLabel[0] templateXLabel[1] templateXValue[0] , with the highest templateYLabel[0] templateYLabel[1] in templateXValue[7] . That year , templateXValue[0] had a total of templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] .
The statistic shows the templateTitle[0] templateTitle[1] templateYLabel[0] in the templateTitle[3] from templateXValue[min] to templateXValue[max] . In templateXValue[3] , the templateTitle[0] templateYLabel[0] of the templateYLabel[2] templateTitle[5] amounted to templateYValue[3] templateScale templateYLabel[2] templateYLabel[3] .
This statistic shows the templateTitle[0] templateTitle[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , the templateTitle[0] templateTitle[1] in templateTitleSubject[0] was estimated at templateYValue[idxmin(X)] templateScale templateYLabel[3] templateYLabel[4] .
This statistic shows the templateYLabel[0] of recreational templateYLabel[1] to the templateTitleSubject[0] Memorial in the templateTitle[5] from templateXValue[min] to templateXValue[max] . The templateYLabel[0] of templateYLabel[1] to the templateTitleSubject[0] Memorial amounted to approximately templateYValue[0] templateYValue[idxmax(X)] in templateXValue[max] .
This statistic gives information on the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in the templateTitle[5] as of 2019 , sorted templateTitle[7] templateTitle[8] . According to the source , the templateXValue[0] accounted for over templateYValue[max] templateScale of all templateYLabel[2] templateYLabel[3] .
The statistic shows the templateYLabel[0] of the employees of the templateTitle[7] templateTitle[2] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . According to the report , the templateTitle[0] of templateTitleSubject[0] employees amounted to over templateYValue[2] templateScale templateYLabel[2] templateYLabel[3] in templateXValue[2] .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in the templateTitle[7] in templateTitleDate[0] . The templateTitle[0] templateTitle[1] templateTitle[2] of the templateTitleSubject[0] was templateXValue[0] , with a templateYLabel[0] of templateYValue[max] templateScale templateYLabel[3] .
This graph depicts the templateYLabel[0] templateYLabel[1] templateYLabel[2] for templateTitleSubject[0] games of the National Basketball Association from templateXValue[last] to templateXValue[0] . In the templateXValue[last] season , the templateYLabel[0] templateYLabel[1] templateYLabel[2] was templateYValue[last] templateYLabel[3] templateYLabel[4] .
The statistic depicts the templateYLabel[0] of the templateTitleSubject[0] , a franchise of the National Football League , from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of the templateTitleSubject[0] was templateYValue[max] templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateTitle[0] of templateTitle[1] of the templateTitleSubject[0] templateTitle[4] from the first templateLabel[0][0] of templateTitleDate[min] to the first templateLabel[0][0] of templateTitleDate[max] . In the fourth templateLabel[0][0] of templateValue[0][0] , templateLabel[1][0] templateLabel[1][1] generated templateValue[2][0] templateScale of the templateLabel[2][0] .
This statistic gives information on the templateTitle[0] templateTitle[1] templateTitle[2] of templateYLabel[1] in the templateTitle[4] as of 2017 . During the survey period , it was found that templateValue[2][0] templateScale of templateYLabel[1] stated that they had between templateXValue[1] and templateXValue[1] templateXValue[0] .
This statistic shows the results of a survey among American templateTitle[1] templateTitle[2] templateTitle[3] in the templateTitleSubject[0] in templateTitleDate[0] , templateTitle[5] templateTitle[6] . According to the survey , templateValue[1][0] templateScale of the templateTitle[1] templateTitle[2] templateTitle[4] were templateTitle[5] templateTitle[6] templateTitle[7] templateTitle[8] 2015 .
This statistic shows the 20 templateTitleSubject[0] templateTitle[1] the templateTitle[2] templateTitle[3] in templateTitleDate[0] , based on templateXLabel[0] . In templateTitleDate[0] , the templateXValue[0] was ranked first , with templateYValue[max] templateYLabel[2] templateYLabel[3] of the templateTitle[2] templateTitle[3] rate , followed by templateXValue[1] with templateYValue[1] templateYLabel[2] templateYLabel[3] .
This graph depicts the annual National Hockey League templateYLabel[0] of the templateTitleSubject[0] templateTitle[1] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of the templateTitleSubject[0] templateTitle[4] amounted to templateYValue[idxmax(X)] templateScale templateYLabel[3] dollars .
This statistic shows the templateTitle[0] of the templateTitle[1] templateTitle[2] templateTitle[3] ( templateTitle[4] ) templateTitle[5] templateTitle[6] templateTitle[7] in templateTitleSubject[0] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , templateLabel[1][0] contributed around templateValue[1][0] templateScale to the templateTitle[4] of templateTitleSubject[0] , templateValue[2][0] templateScale came from the templateLabel[2][0] and templateValue[3][0] templateScale from the service sector .
The statistics ranks the teams of the templateTitle[0] templateTitle[1] templateYLabel[1] in the templateTitle[5] in templateTitleDate[0] , by templateYLabel[0] of templateYLabel[1] . templateXValue[0] had the highest templateYLabel[0] of templateYValue[max] registered templateTitle[0] templateTitle[1] templateYLabel[1] in that year .
The statistic shows the templateYLabel[2] of goods and services produced in the templateTitle[0] from templateXValue[min] to templateXValue[max] . According to the report , the templateYLabel[2] of goods and services produced in the templateTitle[0] . It is forecasted that templateXLabel[0] .
This statistic displays the templateScale of individuals in selected templateValue[0][0] who were using templateTitle[0] templateTitle[1] in the templateTitle[6] from templateTitleDate[min] to templateTitleDate[max] , templateTitle[7] templateTitle[8] . In templateTitleDate[max] , templateValue[1][last] templateScale of respondents stated that they had their most common in templateValue[0][0] using a templateTitle[1] .
The statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] and templateXValue[max] . According to the source , the data are ILO estimates . In templateXValue[max] , the estimated templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] was at templateYValue[idxmax(X)] templateScale .
This statistic shows the templateTitle[2] templateTitle[3] templateTitle[4] of the United Kingdom ( templateTitleSubject[0] ) from templateValue[0][last] to templateValue[0][0] . The templateTitleSubject[0] templateTitle[2] templateTitle[3] templateTitle[4] is expected to reach templateValue[1][0] templateScale templateYLabel[3] templateYLabel[4] in templateValue[0][0] , up from templateValue[1][last] templateScale U.S. dollars in templateValue[0][last] .
The statistic shows templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) denotes the aggregate value of all services and goods produced within a country in any given templateXLabel[0] . templateTitle[3] is an important indicator of a country 's economic power .
The statistic shows the distribution of templateTitle[0] in templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , templateValue[1][0] templateScale of the employees in templateTitleSubject[0] were active in the agricultural templateTitle[3] , templateValue[2][0] templateScale in templateLabel[2][0] and templateValue[3][0] templateScale in the service templateTitle[3] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] of templateTitle[4] in templateTitleSubject[0] in templateTitleDate[min] and templateTitleDate[max] . In the first templateLabel[0][0] of templateTitleDate[max] , the templateTitle[1] templateTitle[2] templateTitle[3] of templateTitle[4] in templateTitleSubject[0] in the country was templateValue[2][max] U.S. dollars .
The statistic shows the results of a survey concerning the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in the United Kingdom ( templateTitleSubject[0] ) in templateTitleDate[0] . The survey revealed that templateValue[1][0] templateScale of the respondents of the average templateValue[0][0] in a templateValue[0][0] .
The statistic shows the templateTitle[0] of the templateTitle[1] templateTitle[2] templateTitle[3] in templateTitleSubject[0] from templateValue[0][last] to templateValue[0][0] . The templateTitle[0] of the templateTitle[2] templateTitle[3] in templateValue[0][0] was templateValue[1][0] U.S. dollars in templateValue[0][0] .
This graph depicts the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] of the National Football League from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] came to templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] . The templateTitleSubject[0] are owned by Terry and Kim Pegula .
The statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[7] , the templateTitle[0] of templateTitleSubject[0] was at approximately templateYValue[7] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] of templateYLabel[1] of the templateTitleSubject[0] between templateXValue[min] and templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] employed approximately templateYValue[0] people around the world .
This statistic shows the templateTitle[0] of the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in the templateTitle[5] from templateTitleDate[min] to templateTitleDate[max] . The templateTitle[0] of the templateTitleSubject[0] templateValue[0][0] templateValue[0][0] amounted to templateValue[2][0] templateScale templateYLabel[3] templateYLabel[4] in that year .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] ( templateYLabel[0] ) templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . templateYLabel[0] refers to the total market value of all goods and services that are produced within a country per templateXLabel[0] . It is an important indicator of the economic strength of a country .
This statistic shows the results of a survey among templateTitleSubject[0] adult templateValue[0][0] in the United Kingdom ( templateTitleSubject[1] ) as of templateTitleDate[0] . According to the survey , templateValue[1][0] templateScale of respondents reported that they had used templateValue[0][0] in a .
Between templateXValue[min] and templateXValue[max] , the templateYLabel[0] templateYLabel[1] of the National Football League ( templateTitleSubject[0] ) in the templateTitle[7] from templateXValue[min] to templateXValue[max] . The templateTitle[0] of templateTitleSubject[0] templatePositiveTrend to templateYValue[max] templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] in templateXValue[idxmax(Y)] .
This statistic shows the total annual spend of templateTitle[0] tourists ( 'visitor exports ' _ ) in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with a forecast for templateXValue[max] . Inbound templateTitle[1] expenditure in templateTitleSubject[0] reached around templateYValue[5] templateScale templateYLabel[2] in templateXValue[5] .
templateValue[0][0] is the most successful nation of all time at the templateTitleSubject[0] Games , having amassed a total of 368 medals since the first templateTitleSubject[0] Olympics in templateTitleDate[min] – this tally includes templateValue[1][0] templateLabel[1][0] medals , templateValue[2][0] templateLabel[2][0] , and templateValue[3][0] templateLabel[3][0] . This total is especially impressive considering the Scandinavian templateLabel[0][0] has a population of just over five templateScale inhabitants . templateValue[0][0] dominate the medals Given templateValue[0][0] 's dominance at the top of the overall templateTitle[1] templateTitle[2] , it comes as no surprise that the three most successful templateTitleSubject[0] Olympians of all time come from templateValue[0][0] .
This statistic presents the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , templateYValue[idxmin(X)] templateScale of the Mexican templateYLabel[1] were accessing the templateTitle[1] . This figure is projected to grow to templateYValue[idxmax(X)] templateScale by templateXValue[idxmax(Y)] .
This statistic shows the 20 templateTitle[0] templateTitle[1] the templateTitle[2] templateYLabel[0] of templateTitleSubject[0] templateTitle[4] templateYLabel[1] from templateTitleDate[min] to templateTitleDate[max] . According to the source , the templateTitle[0] templateTitle[1] templateTitle[2] of people were templateXValue[0] , at templateYValue[max] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in templateTitleSubject[0] in templateTitleDate[0] , templateTitle[8] templateTitle[9] . The templateTitle[0] templateTitle[1] templateTitle[2] in templateTitleSubject[0] was templateXValue[0] in templateTitleDate[0] , with a templateYLabel[0] templateYLabel[1] of templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This statistic shows the templateTitle[0] of the templateTitle[1] templateTitle[2] templateTitle[3] ( templateTitle[4] ) templateTitle[5] templateTitle[6] templateTitle[7] in templateTitleSubject[0] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , templateLabel[1][0] contributed around templateValue[1][0] templateScale to the templateTitle[4] of templateTitleSubject[0] , templateValue[2][0] templateScale came from the templateLabel[2][0] and templateValue[3][0] templateScale from the service sector .
This statistic illustrates the results of a survey about the leading templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in the templateTitleSubject[0] ( templateTitleSubject[1] ) in templateTitleDate[0] , templateTitle[9] templateTitle[10] . During the survey , it was found that templateYValue[max] templateScale of the templateYLabel[1] who had a templateXValue[0] .
The statistic shows the distribution of templateTitle[0] in templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , templateValue[1][0] templateScale of the employees in templateTitleSubject[0] were active in the agricultural templateTitle[3] , templateValue[2][0] templateScale in templateLabel[2][0] and templateValue[3][0] templateScale in the service templateTitle[3] .
As of templateTitleDate[0] , it was found that templateYValue[max] templateScale of adults in the country accessed the templateTitle[0] with templateYValue[1] templateScale of the templateYLabel[1] citing templateXValue[2] templateXValue[0] a templateXValue[1] templateXValue[2] . templateXValue[1] and templateXValue[2] were templateXValue[3] with templateYValue[2] templateScale of templateYLabel[1] .
This statistic gives information on the templateTitle[1] templateTitle[3] rate in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , templateYValue[idxmin(X)] templateScale of the Singaporean templateYLabel[1] were using the templateTitle[1] . In templateXValue[max] , this figure is projected to grow to templateYValue[idxmax(X)] templateScale .
The statistic presents the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in the templateTitle[4] in templateTitleDate[0] , based on sales . In that year , the templateXValue[0] accounted for templateYValue[max] templateScale of the world 's templateTitle[0] templateTitle[1] templateTitle[2] .
The statistic shows templateTitle[0] templateTitle[1] templateTitle[2] in the templateTitleSubject[0] from templateTitleDate[min] to templateTitleDate[max] . In templateTitleDate[max] , templateYLabel[1] templateTitle[0] templateTitle[1] templateTitle[2] in the templateTitleSubject[0] amounted to about templateYValue[0] templateScale templateYLabel[1] templateYLabel[2] .
This statistic shows the templateTitle[0] of templateTitle[1] and templateTitle[2] templateTitle[3] in the templateTitleSubject[0] from templateTitleDate[min] to templateTitleDate[max] , templateTitle[7] templateTitle[8] . In templateTitleDate[max] , the templateTitle[1] templateTitle[2] templateTitle[3] of templateTitle[4] in templateTitleSubject[0] in the templateTitleSubject[1] was templateValue[1][0] U.S. dollars .
This statistic presents the templateScale of online consumers in the templateTitle[0] who are templateValue[0][2] as of 2019 , sorted templateTitle[7] templateTitle[8] . During the survey period , templateValue[1][0] templateScale of respondents stated that they found here .
This statistic gives information on the average templateYLabel[0] of templateTitle[2] templateTitle[4] in the United Kingdom ( templateTitleSubject[0] ) , in templateTitleDate[0] . According to the source , the templateYLabel[3] templateYLabel[4] was templateXValue[0] with a templateYLabel[3] templateYLabel[4] of templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] .
The statistic presents the templateYLabel[0] of templateYLabel[1] of the top templateXLabel[0] templateXLabel[1] worldwide in templateTitleDate[0] . The templateXValue[0] had the highest templateYLabel[0] templateYLabel[1] of templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] in templateTitleDate[0] .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] ( templateYLabel[0] ) in the templateTitleSubject[0] from templateXValue[min] to templateXValue[7] , with projections up until templateXValue[max] . templateYLabel[0] refers to the total market value of goods and services that are produced within a country per templateXLabel[0] . It is an important indicator of the economic strength of a country .
This statistic provides information on the templateTitle[0] of the templateTitle[4] of templateValue[0][0] , from templateValue[0][last] to templateValue[0][0] , sorted templateTitle[6] templateTitle[7] . As of templateValue[0][0] , it was found that templateValue[1][0] templateScale of the templateTitle[4] of templateValue[0][0] . As of templateValue[0][0] , it is templateValue[2][0] templateScale of that templateValue[2][0] templateScale of templateTitle[4] that templateLabel[0][0] .
This statistic depicts the templateYLabel[0] templateYLabel[1] breakdown of templateTitle[0] templateTitleSubject[0] in templateTitleDate[0] , templateTitle[5] templateXLabel[0] , . templateXValue[0] held the largest templateYLabel[0] templateYLabel[1] of templateTitle[0] templateTitleSubject[0] templateXLabel[0] owners with a templateYLabel[0] templateYLabel[1] of templateYValue[max] templateScale . In total , templateXValue[0] was the templateTitle[0] templateTitle[1] templateYLabel[0] with a templateYLabel[0] templateYLabel[1] of templateYValue[max] templateScale .
This statistic shows the templateTitle[0] templateTitle[1] average templateYLabel[0] of people in the United Kingdom ( templateTitleSubject[0] ) in templateTitleDate[0] . The templateXValue[0] , with over templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] of the people .
This graph depicts the templateYLabel[0] templateYLabel[1] templateYLabel[2] for templateTitleSubject[0] games in Major League Baseball from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] templateYLabel[2] was at templateYValue[idxmax(X)] templateYLabel[3] templateYLabel[4] .
This statistic shows the templateTitle[0] templateTitle[1] templateYLabel[0] in the templateTitle[3] in templateTitleDate[0] , ranked templateTitle[5] templateTitle[6] . According to the source , the templateTitle[0] templateYLabel[0] for templateXValue[0] was approximately templateYValue[max] templateScale British pounds .
The statistic depicts the templateYLabel[0] of the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of the Major League Baseball franchise amounted to templateYValue[idxmax(X)] templateScale templateYLabel[2] dollars.The templateTitleSubject[0] are owned by John Stanton and Chris Larson , who bought the franchise for 1.2 templateScale templateYLabel[2] templateYLabel[3] and 100 templateScale templateYLabel[2] templateYLabel[3] in templateXValue[2] and 1992 respectively .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the templateTitle[7] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] was templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateScale of the templateYLabel[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[0] , the Chinese e-commerce site accounted for templateYValue[0] templateScale of templateYLabel[1] .
This graph shows the templateTitle[0] templateTitle[1] in the federal state of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitle[1] of templateTitleSubject[0] stood at templateYValue[idxmax(X)] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] of land area .
The statistic depicts the templateTitle[0] templateYLabel[0] templateYLabel[1] of e-Readers from templateXValue[min] to templateXValue[12] and forecasts up to and including templateXValue[max] . In templateXValue[13] , templateYLabel[0] templateYLabel[1] of templateTitle[0] in the templateTitle[3] are forecast to reach templateYValue[13] templateScale units .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at approximately templateYValue[idxmax(X)] templateScale .
This statistic displays the templateTitle[4] templateYLabel[0] templateYLabel[1] ( templateTitle[3] or standardized measure ) of the templateTitle[0] to the templateTitleSubject[0] templateTitle[2] ( EUR CHF ) , according to data from the European Central Bank , from the introduction of the templateTitle[0] in templateXValue[min] up until templateXValue[max] . The templateTitle[3] , or standardized , measure shows the calculation based on many observations throughout the period in question , which is different than an templateTitle[4] measure at point in time : this denotes concrete values as of specific day ( i.e . end of the templateXLabel[0] ) .
This statistic shows the total templateYLabel[0] of templateYLabel[2] in the templateTitle[1] from templateXValue[min] to templateXValue[max] . According to the report , there were over templateYValue[max] templateScale templateYLabel[2] in the templateTitle[1] templateYLabel[0] in templateXValue[idxmax(Y)] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in templateTitleSubject[0] from templateTitleDate[min] to templateTitleDate[max] . In 2019 , the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in templateTitleSubject[0] was templateValue[5][0] Canadian dollars per 300 grams . templateTitle[5] in templateTitleSubject[0] - additional information templateTitle[5] , typically served hot , is a beverage prepared by brewing ground , templateTitle[4] templateTitle[5] beans with water .
This statistic shows the templateTitle[3] templateTitle[4] of templateTitle[0] and templateTitle[1] to templateTitleSubject[0] templateTitle[6] from templateTitleDate[min] to templateTitleDate[max] , templateTitle[9] templateLabel[0][0] . templateTitle[0] and templateTitle[1] contributed approximately 1.79 templateScale U.S. dollars in templateTitle[3] to the templateValue[0][0] Asian economy in templateTitleDate[max] .
The statistic shows the distribution of templateTitle[0] in templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , templateValue[1][0] templateScale of the employees in templateTitleSubject[0] were active in the agricultural templateTitle[3] , templateValue[2][0] templateScale in templateLabel[2][0] and templateValue[3][0] templateScale in the service templateTitle[3] .
Between templateXValue[min] and templateXValue[max] , the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] has templatePositiveTrend to templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] templateYLabel[4] in templateXValue[max] , up from templateYValue[1] templateYLabel[2] templateYLabel[3] in the previous templateXLabel[0] . Between templateXValue[min] and templateXValue[max] , the templateTitle[0] templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] was templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
The timeline shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[5] in the templateTitle[0] from templateXValue[min] to templateXValue[max] . According to the report , the templateTitleSubject[0] templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[5] amounted to approximately templateYValue[idxmax(X)] templateYLabel[3] in templateXValue[max] .
The statistic shows the 20 templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in templateTitleSubject[0] in templateTitleDate[0] , templateTitle[7] templateTitle[8] group . According to the source , templateXValue[0] generated approximately templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] of templateYLabel[1] templateYLabel[3] templateYLabel[4] that year .
The statistic shows the estimated templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] of templateTitle[5] templateTitle[6] in the United Kingdom ( templateTitleSubject[1] ) from templateValue[0][0] to templateValue[0][last] . In this period , the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] of templateTitle[5] templateTitle[6] are expected to reach 8.42 templateScale dollars in templateValue[0][1] .
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 the best time period in terms of templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] templateTitleSubject[0] 's current account for templateTitle[3] templateTitle[4] templateTitle[5] , a declining declining rate is still one of the leading the tournament .
This statistic shows the highest-paid templateTitleSubject[0] templateValue[0][0] . The templateValue[0][0] earned about templateValue[1][0] templateScale U.S. dollars from templateLabel[1][0] and templateValue[2][0] templateScale U.S. dollars in 2019 .
Between templateXValue[min] and templateXValue[max] templateYLabel[1] of both domestic and foreign guests at templateTitle[3] establishments in templateTitleSubject[0] have templatePositiveTrend . In templateXValue[max] there were over templateYValue[max] templateScale templateYLabel[1] at templateTitle[2] templateTitle[3] in templateTitleSubject[0] , compared to templateYValue[9] templateScale ten years earlier .
This statistic depicts the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[5] in the templateTitle[0] from templateXValue[min] to templateXValue[max] . According to the report , the templateTitleSubject[0] templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[5] amounted to approximately templateYValue[idxmax(X)] templateYLabel[3] in templateXValue[max] .
Between the first templateXLabel[0] of templateXValue[0] , the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitleSubject[0] in the templateXValue[0] stood at templateYValue[max] templateYLabel[2] templateYLabel[3] . This figure has remained the highest point in the following templateXLabel[0] . In the first templateXLabel[0] of templateXValue[0] , the templateTitle[0] of templateXValue[last] stood at templateYValue[min] templateYLabel[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] the United Kingdom ( templateTitleSubject[0] ) of templateTitleSubject[0] as of 2019 , based on the end of that month . In that year , templateXValue[0] had the templateTitle[0] other templateTitle[3] templateTitle[4] , with a score of templateYValue[max] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at approximately templateYValue[idxmax(X)] templateScale .
The statistic shows the templateScale of templateTitle[5] in the templateTitle[0] that templateValue[1][0] templateScale of templateLabel[1][0] templateLabel[1][1] templateTitle[4] in templateTitleDate[0] , templateTitle[6] templateTitle[7] . The survey revealed that templateValue[1][0] templateScale of templateLabel[1][0] templateLabel[1][1] templateLabel[1][2] were templateValue[1][1] templateScale of the templateLabel[2][0] templateLabel[1][2] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[3] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] was templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
This statistic shows the results of a survey conducted in the templateTitle[0] in templateTitleDate[0] , templateTitle[10] templateTitle[11] . The survey shows that templateValue[1][0] templateScale of the templateYLabel[1] were templateValue[0][0] on the survey .
This statistic shows the templateTitle[0] of the templateTitle[1] templateTitle[2] templateYLabel[0] in the templateTitle[3] in templateTitleDate[0] , templateTitle[7] templateXLabel[0] . In templateXValue[0] , templateXValue[0] had the highest templateYLabel[0] templateYLabel[1] of templateXValue[last] with templateYValue[max] templateYLabel[2] templateYLabel[3] .
The statistic shows templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) denotes the aggregate value of all services and goods produced within a country in any given templateXLabel[0] . templateTitle[3] is an important indicator of a country 's economic power .
This statistic presents a ranking of the templateTitle[0] templateTitle[1] templateXValue[0] templateTitle[3] templateTitle[4] in templateTitleDate[0] , sorted by templateYLabel[0] . According to the source , templateXValue[0] was the world 's templateXValue[0] with a templateYLabel[0] templateYLabel[1] of templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] , followed by templateXValue[1] with templateYValue[1] templateScale templateYLabel[3] .
This statistic shows the templateTitle[0] of templateTitleSubject[0] from templateValue[0][last] to templateValue[0][0] , templateTitle[7] templateTitle[8] . In templateValue[0][0] , the templateLabel[1][0] templateTitle[2] in templateTitleSubject[0] generated templateValue[2][0] templateScale U.S. dollars in templateLabel[2][0] .
According to a templateTitleDate[0] Statista survey , the ranking of the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in templateTitleSubject[0] , based on sales over templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] . It was followed by templateXValue[1] with templateYValue[1] templateScale templateYLabel[2] templateYLabel[3] of templateXValue[2] .
The statistic illustrates the distribution of templateTitle[0] templateTitle[1] templateTitle[2] in the templateTitleSubject[0] in templateTitleDate[0] , broken down templateTitle[7] templateTitle[8] . In templateXValue[0] , there were around templateYValue[max] templateScale of the templateXValue[last] templateYLabel[1] in templateTitleSubject[0] .
The statistic shows the templateYLabel[0] of the templateYLabel[2] templateYLabel[3] templateTitle[4] templateYLabel[3] between templateXValue[min] and templateXValue[max] . In templateXValue[max] , the data from the templateTitle[0] of the templateTitleSubject[0] amounted to templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] of the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitleSubject[0] templateTitle[6] templateTitle[7] in templateTitleDate[0] . In that year , the templateXValue[0] had the largest templateYLabel[0] of templateYValue[max] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . The templateYLabel[0] templateYLabel[1] is the templateYLabel[1] that divides a templateTitle[2] into two numerically equal groups ; that is , half the people are younger than this templateYLabel[1] and half are older . It is a single index that summarizes the templateYLabel[1] distribution of a templateTitle[2] .
This statistic shows the distribution of employees employees in the United Kingdom ( templateTitleSubject[0] ) in templateTitleDate[0] , templateTitle[4] ranking . The templateTitle[0] of employees of templateValue[0][0] , compared to the statistic presents the templateValue[0][0] , with education .
This statistic shows the templateTitle[0] templateTitle[1] the templateTitle[2] templateTitle[3] in templateTitleDate[0] , templateTitle[4] templateYLabel[0] templateYLabel[1] . The templateTitle[0] templateTitle[1] is the templateYLabel[1] that year , with a templateYLabel[0] templateYLabel[1] of approximately templateYValue[2] templateScale templateYLabel[3] .
This statistic shows the templateYLabel[0] of templateYLabel[2] templateYLabel[3] of the templateTitle[0] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . The templateYLabel[0] of the templateYLabel[1] of the templateTitleSubject[0] amounted to templateYValue[0] templateYValue[idxmax(X)] templateYLabel[4] in templateXValue[max] .
This statistic gives information on the templateTitle[1] of templateTitleSubject[0] templateYLabel[1] worldwide as of 2020 , sorted templateTitle[5] templateTitle[6] . During the survey period , templateYValue[min] templateScale of templateTitleSubject[0] templateTitle[3] were templateXValue[0] and templateYValue[max] templateScale were templateXValue[last] .
The statistic shows the templateYLabel[0] of the templateYLabel[1] of the templateYLabel[2] templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] of the templateTitleSubject[0] of templateTitleSubject[0] amounted to templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
The statistic depicts the templateYLabel[0] of the templateTitleSubject[0] Giants , a franchise of the National Football League , from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of the templateTitleSubject[0] was templateYValue[max] templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
The statistic shows the templateYLabel[0] of templateYLabel[1] of the templateTitleSubject[0] worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the company employed approximately templateYValue[idxmax(X)] templateScale templateYLabel[3] templateYLabel[4] .
The statistic depicts the templateTitle[2] templateTitle[3] templateTitle[4] at games of the templateTitleSubject[0] ( NBA ) from templateValue[0][last] to templateValue[0][0] . In the templateValue[0][3] season , a 16 ounce templateTitle[5] cost templateValue[1][0] U.S. dollars .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . The templateYLabel[0] templateYLabel[1] is the templateYLabel[1] that divides a templateTitle[2] into two numerically equal groups ; that is , half the people are younger than this templateYLabel[1] and half are older . It is a single index that summarizes the templateYLabel[1] distribution of a templateTitle[2] .
This statistic shows the top 20 templateTitleSubject[0] templateTitle[1] the templateTitle[2] templateTitle[3] templateTitle[4] in templateTitleDate[0] . In that year , templateXValue[5] had the highest templateYLabel[0] templateYLabel[1] of a templateYLabel[3] of templateYValue[max] templateYLabel[2] templateYLabel[3] .
In templateTitleDate[max] , templateValue[0][0] was the most popular templateValue[0][0] employees in the United Kingdom . At that time , templateValue[0][0] accounted for templateValue[2][2] templateScale of all templateValue[0][0] employees , compared to the country . The templateValue[0][0] is the leader among the world 's overall .
The statistic shows the templateYLabel[1] in real templateYLabel[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , templateTitleSubject[0] 's real templateTitle[0] templateTitle[1] templateTitle[2] templatePositiveTrend by around templateYValue[6] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
The statistic depicts the templateYLabel[0] of the templateTitleSubject[0] , a franchise of the National Football League , from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of the templateTitleSubject[0] was templateYValue[max] templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
The statistic shows the templateTitle[0] of templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] of templateTitleSubject[0] stood at approximately templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] templateYLabel[0] templateTitle[4] templateTitleSubject[0] in templateTitleDate[0] . templateXValue[0] had the largest templateYLabel[0] templateTitle[4] templateTitle[1] templateTitle[2] templateTitle[3] of around templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] of templateTitle[1] templateTitle[2] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitleSubject[0] in templateTitleDate[0] . The templateTitle[0] templateTitle[1] templateTitle[2] in templateTitleSubject[0] was templateXValue[0] with a templateYLabel[0] templateYLabel[1] of templateYValue[max] templateYLabel[2] templateYLabel[3] .
The statistic shows the templateYLabel[0] of the templateYLabel[1] that templateXLabel[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[3] , the templateYLabel[0] of templateYLabel[1] in the templateTitleSubject[0] templatePositiveTrend by over templateYValue[3] templateScale compared to the templateXLabel[0] .
The statistic shows the templateYLabel[0] of templateYLabel[1] in the templateTitle[1] from templateXValue[min] to templateXValue[max] . The templateYLabel[0] of templateYLabel[1] in the templateTitle[4] templateNegativeTrend below the following years . In templateXValue[max] , the templateTitle[0] of the templateTitleSubject[0] amounted to templateYValue[idxmax(X)] templateScale .
The statistic shows the templateYLabel[0] of the employees of the templateTitle[7] templateTitle[2] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . According to the report , the templateTitle[0] of templateTitleSubject[0] employees amounted to over templateYValue[2] templateScale templateYLabel[2] templateYLabel[3] in templateXValue[2] .
This statistic shows the total amount of templateTitle[1] cherries produced in the templateTitle[0] from templateXValue[min] to templateXValue[max] . According to the report , the templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[0] was templateYValue[idxmax(X)] templateScale templateYLabel[2] templateYLabel[3] in templateXValue[max] .
The statistic shows the templateYLabel[0] of the templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . According to the source , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was templateYValue[6] templateScale .
This statistic shows the templateYLabel[0] templateYLabel[1] of the development of templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] was templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
This graph depicts the total/average regular season templateTitle[5] templateTitle[6] of the templateTitleSubject[0] templateTitle[4] franchise of the templateTitleSubject[0] League from the templateValue[0][last] season to the templateValue[0][0] season . In templateValue[0][0] , the templateLabel[1][0] regular season templateTitle[5] templateTitle[6] of the franchise was templateValue[1][0] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] of templateTitleSubject[0] of templateTitleSubject[0] from the first templateXLabel[0] of templateTitleDate[min] to the fourth templateXLabel[0] of templateTitleDate[max] . It can be seen that the templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] of templateYValue[max] templateYLabel[2] templateYLabel[3] .
This statistic presents the distribution of templateValue[0][0] in the templateTitleSubject[0] who were using templateTitle[0] as of 2019 , sorted templateTitle[6] templateTitle[7] . During that period of time , templateValue[1][0] templateScale of templateTitle[4] and templateValue[2][0] templateScale of respondents stated that they accessed the templateValue[0][0] templateTitle[4] accessed the templateValue[0][0] .
This statistic shows the templateTitle[0] of the templateTitle[1] templateTitle[2] templateTitle[3] in the templateTitle[4] in templateTitleDate[0] , templateTitle[7] templateTitle[8] . According to the source , the templateTitle[0] of templateValue[0][0] , templateValue[1][0] templateScale of templateLabel[1][0] templateLabel[1][1] templateLabel[1][2] were templateValue[2][0] templateScale in templateValue[0][0] .
This statistic shows the templateTitle[0] of the templateTitle[1] templateTitle[2] of templateTitle[3] templateTitle[4] in the templateTitleSubject[0] in templateTitleDate[min] and templateTitleDate[max] . During the survey , it was found that templateValue[2][max] templateScale of respondents templateLabel[1][0] templateLabel[1][1] templateLabel[1][2] were templateLabel[1][0] templateLabel[1][1] templateLabel[1][2] .
The statistic shows the distribution of templateTitle[0] in templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , templateValue[1][0] templateScale of the employees in templateTitleSubject[0] were active in the agricultural templateTitle[3] , templateValue[2][0] templateScale in templateLabel[2][0] and templateValue[3][0] templateScale in the service templateTitle[3] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , about templateYValue[idxmax(X)] templateScale templateYLabel[1] templateYLabel[2] were templateTitle[1] templateTitle[2] in the templateTitle[3] .
In templateXValue[max] , templateTitleSubject[0] produced templateYValue[idxmax(X)] templateScale templateYLabel[2] of templateTitle[1] . In that templateXLabel[0] , 70 templateScale of that templateYLabel[0] was destined to exports . templateTitle[1] is made from the agave plant .
In templateTitleDate[0] , templateXValue[0] was the templateXValue[last] , with the highest templateYLabel[0] templateYLabel[1] , at templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] , followed by templateXValue[1] with templateYValue[1] templateScale templateYLabel[3] . templateXValue[last] was templateXValue[last] , however , templateXValue[3] had the highest templateTitle[2] on popularity .
The statistic presents the distribution of templateTitle[0] templateYLabel[1] of the templateTitle[4] templateTitle[5] in templateTitleDate[0] . According to the source , templateXValue[0] had the highest templateYLabel[0] of templateYLabel[1] valued at templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[3] templateTitleSubject[0] worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the average templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] templateTitle[3] templateTitleSubject[0] was templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
This statistic shows the average templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in the templateTitleSubject[0] ( templateTitleSubject[1] ) from templateTitleDate[min] to templateTitleDate[max] , templateTitle[7] templateTitle[8] . The second templateLabel[0][0] of templateTitle[1] templateTitle[2] templateTitle[3] in templateTitleSubject[0] stood at templateValue[2][0] templateScale in templateLabel[2][0] .
The statistic shows the templateYLabel[1] in real templateYLabel[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , templateTitleSubject[0] 's real templateTitle[0] templateTitle[1] templateTitle[2] templatePositiveTrend by around templateYValue[6] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic provides information on the average templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in the templateTitle[5] as of 2019 , sorted templateTitle[7] templateTitle[8] . During the survey period , the survey was found that templateValue[2][0] templateScale of templateLabel[2][0] participated in the country .
This graph shows the templateScale of templateLabel[1][0] templateLabel[1][1] templateLabel[1][2] and templateLabel[2][2] in the templateTitle[0] in templateTitleDate[0] , templateTitle[6] templateTitle[7] . During the survey period , templateValue[1][0] templateScale of templateLabel[1][0] templateLabel[1][1] templateLabel[1][2] were templateLabel[1][0] templateLabel[1][1] templateLabel[1][2] .
This statistic shows the templateTitle[0] of the templateTitle[1] templateTitle[2] templateTitle[3] in templateTitle[4] in templateTitleDate[0] , templateTitle[7] templateTitle[8] . In templateTitleDate[0] , the templateTitle[0] of templateTitleSubject[0] generated templateValue[2][0] templateScale U.S. dollars in templateValue[0][0] .
This statistic shows the templateTitle[0] templateTitle[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , the templateTitle[0] templateTitle[1] in templateTitleSubject[0] templatePositiveTrend by templateYValue[idxmin(X)] templateScale over the previous templateXLabel[0] . templateTitle[0] visitors to the region was forecast to grow by templateYValue[idxmax(X)] templateScale in templateXValue[max] .
This statistic shows the results of a survey conducted in the templateTitle[0] in templateTitleDate[0] , templateTitle[10] templateTitle[11] . The survey shows that templateValue[1][0] templateScale of respondents in the templateTitle[1] templateTitle[2] at templateLabel[1][0] templateLabel[1][1] templateLabel[1][2] were templateLabel[2][0] .
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 the templateYLabel[1] of the templateYLabel[2] templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] of the templateYLabel[1] of templateTitleSubject[0] amounted to templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
This statistic shows the degree of templateTitle[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . templateTitle[0] means the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateYLabel[3] templateYLabel[2] of a country . In templateXValue[max] , templateYValue[idxmax(X)] templateScale of templateTitleSubject[0] 's templateYLabel[3] templateYLabel[2] lived in templateYLabel[1] areas and cities .
This statistic shows the total templateYLabel[0] of the templateTitle[0] templateTitleSubject[0] from the templateXValue[last] to templateXValue[0] . According to the source , the templateXValue[0] season the templateYLabel[0] of the templateTitleSubject[0] was templateYValue[last] templateScale templateYLabel[2] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] in templateXValue[min] and templateXValue[max] . In templateXValue[2] , templateTitleSubject[0] 's templateYLabel[0] templateYLabel[1] amounted to around templateYValue[2] templateScale templateYLabel[3] templateYLabel[4] .
This statistic displays the leading templateTitleSubject[0] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in templateTitleDate[min] and templateTitleDate[max] . During the survey period , it was found that templateValue[2][0] templateScale of respondents of a templateLabel[1][0] templateLabel[1][1] templateLabel[1][2] templateLabel[1][3] in templateXValue[max] .
This statistic shows the share of internet users in the templateTitleSubject[1] who were using templateTitleSubject[0] as of the third quarter templateTitleDate[0] , sorted templateTitle[6] templateTitle[7] . Overall , templateYValue[max] templateScale of templateTitle[4] online users aged 26 to 35 templateXValue[0] used the mobile messaging service .
The statistic shows the templateTitle[0] of the templateTitle[1] templateTitle[2] templateTitleSubject[0] templateTitle[4] templateValue[0][last] to templateValue[0][0] , templateTitle[7] templateTitle[8] . According to the report , templateValue[1][0] templateScale of all goods goods goods goods and templateValue[3][0] templateScale in templateValue[0][0] .
templateLabel[2][0] is the largest source of templateTitle[2] for templateTitleSubject[0] . In 2018/2019 , the club earned approximately templateValue[2][0] templateScale euros from templateLabel[2][0] , more than double than in 2010/2011 . The second biggest templateTitle[2] templateTitle[4] is the templateLabel[3][0] templateTitle[4] .
The statistic depicts the templateYLabel[0] of templateTitle[1] templateTitle[2] templateYLabel[1] of the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the global templateYLabel[0] for templateTitle[1] templateTitle[2] of the templateTitleSubject[0] was templateYValue[max] templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] templateYLabel[4] templateYLabel[5] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] household end users in templateTitleSubject[0] templateTitle[7] from templateXValue[17] to templateXValue[0] . In the second half of templateXValue[1] , the average templateTitle[0] price templateTitle[2] templateTitle[3] was templateYValue[1] templateYLabel[0] templateYLabel[1] templateYLabel[2] kWh .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] , in templateTitleSubject[0] , from templateTitleDate[min] to templateTitleDate[max] , templateTitle[6] templateTitle[7] . The average cost for templateTitle[0] templateTitle[1] in templateTitleSubject[0] in 2017 was templateValue[3][last] U.S. dollars .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[0] templateTitleSubject[0] templateTitle[3] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the average templateYLabel[0] templateYLabel[1] of templateTitle[3] templateTitleSubject[0] was templateYValue[idxmax(X)] templateYLabel[3] .
This statistic displays the number of templateLabel[1][0] and templateLabel[2][0] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] related to the 2014 - templateTitleDate[0] templateTitle[0] templateTitle[8] in templateTitleSubject[0] ( and the DR Congo ) . As of 4 , templateTitleDate[0] , there have been templateValue[1][1] templateLabel[1][0] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in templateValue[0][1] , resulting in templateValue[2][1] templateLabel[2][0] . The templateTitle[0] virus causes extremely severe hemorrhagic fever and is considered a Risk Group 4 Pathogen templateTitle[9] the World templateTitle[3] Organization ( WHO ) .
In templateTitleDate[0] , it was found that templateYValue[max] templateScale of templateTitle[0] templateTitle[1] templateTitle[2] in the templateTitle[3] were templateXValue[0] and templateYValue[min] templateScale of the templateYLabel[1] in the templateTitleSubject[0] . This means that templateYValue[last] templateScale of the internet users in the templateTitle[2] .
The statistic shows the templateYLabel[0] of templateYLabel[1] of the templateTitleSubject[0] worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the average templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] amounted to templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[7] of the templateTitleSubject[0] templateTitle[3] templateTitle[4] from templateXValue[min] to templateXValue[max] . The templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] templateTitle[2] templateTitle[3] templateTitle[4] was templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] templateTitleSubject[0] worldwide in templateTitleDate[0] , templateTitle[4] templateXLabel[0] . In that year , the templateXValue[0] generated approximately templateYValue[max] thousand templateYLabel[2] templateYLabel[3] of templateYLabel[4] .
This statistic presents a ranking of the most popular templateXLabel[0] video templateXLabel[1] templateTitle[2] in the templateTitleSubject[0] in of templateTitle[4] . As of that month , templateXValue[0] accounted for templateYValue[max] templateScale of templateYLabel[1] in that year .
This statistic presents the distribution of templateTitle[0] templateTitle[1] templateTitle[2] in the templateTitleSubject[0] in templateTitleDate[0] , sorted templateTitle[5] templateXLabel[0] . According to the source , it was found that templateYValue[min] templateScale of the templateYLabel[1] in the templateTitleSubject[0] used templateTitle[7] group .
The statistic shows the templateYLabel[2] templateTitle[0] templateTitle[1] templateTitle[2] ( templateYLabel[0] ) templateYLabel[1] templateYLabel[2] in the templateTitleSubject[0] from templateXValue[min] to templateXValue[7] , with projections up until templateXValue[max] . templateYLabel[0] is the total value of all goods and services produced in a templateXLabel[0] . It is considered to be a very important indicator of the economic strength of a country .
The statistic shows the templateYLabel[0] of the templateTitleSubject[0] franchise from the 2001/02 season to the 2018/19 season . In 2018/19 , the estimated templateYLabel[0] of the National Basketball Association franchise amounted to templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] .
This statistic gives information on the templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[3] templateTitle[4] in templateTitleSubject[0] in templateTitleDate[0] , templateTitle[7] templateTitle[8] . According to the source , templateXValue[0] was ranked first with over templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] of people templateYLabel[3] templateYLabel[4] in templateTitleDate[0] .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] the templateTitle[4] of templateTitleSubject[0] templateTitle[7] templateTitle[8] in templateTitleDate[0] . The templateTitle[0] of the templateXValue[0] was templateXValue[0] , with a score of templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] .
This statistic gives information on the most popular templateTitle[1] templateTitle[2] of templateTitle[3] templateTitle[4] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , templateValue[1][0] templateScale of all templateTitle[1] were employed in the country between templateValue[0][last] and templateValue[0][0] , templateValue[2][0] templateScale of templateLabel[5][0] .
This statistic presents the results of a survey among templateTitleSubject[0] adult Americans on the templateTitle[0] of templateTitle[1] . During the survey , it was found that templateYValue[1] templateScale of the templateYLabel[1] stated that they had used templateTitle[0] on the site .
This statistic shows the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to about templateYValue[6] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic shows the templateScale of adults in the templateTitleSubject[0] who were using templateTitle[0] as of 2019 , sorted templateTitle[6] templateTitle[7] . During that period of time , templateValue[1][0] templateScale of templateValue[0][1] respondents stated that they used the social networking site .
This statistic shows the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to about templateYValue[6] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic shows the templateYLabel[0] of people in the templateTitleSubject[0] who were using templateTitle[0] as of 2019 , sorted templateTitle[6] templateXLabel[0] . During that period of time , there were templateYValue[last] templateScale of templateYLabel[1] in templateTitleSubject[0] .
As of the third quarter of templateTitleDate[0] , it was found that templateYValue[max] templateScale of templateTitle[0] users in the templateTitleSubject[0] accessed the social platform templateXValue[0] a templateXValue[0] . A further templateYValue[1] templateScale of templateYLabel[1] claimed that they used templateTitle[0] on templateXValue[last] .
The statistic presents the templateTitle[5] templateTitle[6] templateTitle[7] of The templateValue[0][0] movie templateTitle[2] in templateLabel[1][0] templateLabel[1][1] and templateLabel[2][0] . As of 2018 , `` templateValue[0][0] 2 '' , the second installment in the trilogy from the Marvel Cinematic Universe , reached a gross of templateValue[1][1] templateScale U.S. dollars in 3,555 cinemas across templateLabel[1][0] templateLabel[1][1] .
The templateXValue[0] had the highest templateTitle[4] templateYLabel[0] templateYLabel[1] of templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] in 2019 . The templateTitle[2] templateTitle[3] with a total of templateYValue[max] . It was followed by templateXValue[1] , with templateYValue[1] .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] employees in the templateTitle[2] in templateTitleDate[0] . The templateXValue[0] is the templateTitle[0] templateYLabel[0] that divides the templateTitleSubject[0] with over templateYValue[max] templateYLabel[2] templateYLabel[3] .
This statistic displays the templateYLabel[0] of people employed by templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] had a total of templateYValue[idxmax(X)] people as of templateXValue[idxmax(Y)] . templateTitleSubject[0] is one of the largest professional services firms in the world , specializing in auditing and accountancy services .
This statistic shows the templateYLabel[0] of templateYLabel[2] templateYLabel[3] of the templateTitle[0] templateTitle[1] in the templateTitleSubject[0] in templateTitleDate[0] . It was templateXValue[0] templateXValue[2] , with over templateYValue[2] templateScale templateYLabel[3] of people .
The statistic shows the templateYLabel[0] of the templateTitle[1] templateTitle[2] templateTitleSubject[0] templateTitle[4] from templateXValue[min] to templateXValue[max] . The templateYLabel[0] of the Major League Baseball franchise amounted to templateYValue[idxmax(X)] templateScale templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] of templateYLabel[2] templateYLabel[3] of the templateTitle[0] that were using templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] of templateTitleSubject[0] amounted to templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
This statistic shows the average templateYLabel[0] of templateTitle[2] templateTitle[3] in the templateTitle[4] from templateTitleDate[min] to templateTitleDate[max] . In templateTitleDate[max] , the templateYLabel[0] of templateYLabel[1] templateTitle[2] in the templateTitle[4] amounted to approximately templateYValue[0] templateScale templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] of templateTitleSubject[1] templateYLabel[1] in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , it is estimated that there will be around templateYValue[idxmax(X)] templateScale templateTitle[2] templateTitle[3] templateYLabel[1] in the country , up from templateYValue[idxmin(X)] templateScale in templateXValue[idxmin(Y)] .
This statistic shows the templateTitle[0] templateTitle[1] of templateTitle[2] templateTitle[3] templateTitle[4] in the templateTitle[5] templateTitle[6] templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , templateValue[1][0] templateScale of templateLabel[2][0] were employed in templateLabel[1][0] and templateValue[2][0] templateScale of templateLabel[2][0] respectively .
This statistic shows the gross domestic product ( templateYLabel[0] ) of the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of the templateYLabel[2] made in templateTitleSubject[0] was templateYValue[last] templateScale templateYLabel[2] templateYLabel[3] .
The graph shows the templateTitle[0] templateTitle[1] templateTitle[2] in the templateTitle[4] in templateTitleDate[0] . In templateTitleDate[0] , templateXValue[0] had the templateTitle[0] templateTitle[1] templateTitle[2] at the other hand , with a total templateYLabel[0] of templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] . The templateTitle[1] templateTitle[2] templateXValue[1] templatePositiveTrend in second with templateYValue[1] templateScale templateYLabel[3] templateYLabel[4] .
This statistic shows the templateYLabel[0] of monthly price in the templateTitleSubject[0] subscription templateTitle[6] as of 2019 . The data reveals that templateXValue[0] was the templateTitle[2] expensive place in the world to get templateTitleSubject[0] , with a monthly subscription costing templateYValue[min] templateYLabel[1] templateYLabel[2] . In templateXValue[2] , the monthly price templateTitle[3] a templateTitleSubject[0] subscription amounted to templateYValue[2] templateYLabel[1] templateYLabel[2] , and Mexican subscribers paid templateYValue[3] templateYLabel[1] templateYLabel[2] per month to use the streaming service .
This statistic shows the templateYLabel[0] of the templateYLabel[2] templateYLabel[3] templateTitle[4] of the templateTitle[0] from templateXValue[min] to templateXValue[max] . According to the report , the templateTitle[0] of the templateTitleSubject[0] stood at approximately templateYValue[0] templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateTitle[0] of the templateTitle[1] templateTitle[2] of the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , the templateTitle[0] of the templateTitle[1] templateTitle[2] of the templateTitleSubject[0] templatePositiveTrend by over 55,000 templateYLabel[1] . In templateXValue[min] , The templateTitleSubject[0] had almost 482,000 templateYLabel[1] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] household end users in templateTitleSubject[0] templateTitle[7] from templateXValue[0] to templateXValue[last] . In the first half of templateXValue[last] , the average templateTitle[0] price templateTitle[2] templateTitle[3] was templateYValue[last] templateYLabel[0] templateYLabel[1] templateYLabel[2] kWh .
As of 2019 , templateXValue[0] was the templateTitle[0] templateTitle[1] templateTitle[2] market in templateTitleSubject[0] . templateXValue[0] was the templateTitle[0] templateTitle[1] templateTitle[2] templateXLabel[0] in the templateTitle[4] with templateYLabel[0] amounting to templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] in the previous year . templateXValue[1] , templateXValue[2] was the second place with templateYLabel[0] of about templateYValue[2] templateScale templateYLabel[2] templateYLabel[3] .
This statistic shows the templateTitle[1] templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , about templateYValue[idxmax(X)] templateScale of templateTitleSubject[0] 's templateYLabel[1] lived below the templateTitle[1] line .
The templateYLabel[0] of templateYLabel[1] in templateTitleSubject[0] has been templateNegativeTrend every templateXLabel[0] , amounting to templateYValue[min] in templateXValue[idxmin(Y)] . In comparison , there were templateYValue[max] templateYLabel[1] in templateXValue[idxmax(Y)] . The templateYLabel[0] of hospital beds has been templateNegativeTrend also , from 571,600 in templateXValue[min] to 497,200 recorded in templateXValue[max] .
This statistic represents templateTitleSubject[0] 's templateYLabel[0] between the templateXValue[min] and templateXValue[max] . In templateXValue[max] , the company generated approximately templateYValue[idxmax(X)] templateScale templateYLabel[2] templateYLabel[3] in templateYLabel[0] .
This statistic shows the average templateYLabel[0] templateYLabel[1] of the templateYLabel[3] templateYLabel[4] of templateTitleSubject[0] from templateXValue[last] to templateXValue[0] . In templateXValue[0] , the average templateYLabel[0] templateYLabel[1] of a templateTitle[2] was templateYValue[last] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This statistic shows the templateTitle[0] of templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in templateTitleSubject[0] as of 2016 , measured in templateScale of templateYLabel[1] templateYLabel[2] templateYLabel[3] . As of that period , the templateXValue[last] had at templateYValue[max] templateYLabel[2] templateYLabel[3] , followed by templateXValue[1] with templateYValue[1] templateScale of templateYLabel[1] templateYLabel[2] templateYLabel[3] .
The statistic presents the templateYLabel[0] of the templateTitle[1] templateTitle[2] and templateTitle[4] templateTitle[5] from templateXValue[min] to templateXValue[max] . According to the source , the templateTitle[0] templateTitle[1] templateTitle[2] of the templateTitle[3] templateTitle[4] templateNegativeTrend by around templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] templateYLabel[4] in templateXValue[idxmax(Y)] .
Since 1982 , an astonishing templateYValue[max] people in the templateYLabel[2] templateYLabel[3] in templateTitleDate[0] included templateXValue[0] the templateTitle[2] . The templateTitle[0] of people have been carried out in the statistic . In this statistic , there were templateYValue[max] templateTitle[2] templateTitle[2] templateTitle[2] in templateTitleSubject[0] in templateTitleDate[0] .
This statistic gives information on the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] from templateValue[0][last] to templateValue[0][0] , sorted templateTitle[5] templateTitle[6] . In templateValue[0][1] , the templateTitleSubject[0] templateTitle[1] templateTitle[2] of online templateTitle[2] in templateLabel[4][0] amounted to about templateValue[3][0] templateScale U.S. dollars .
This statistic shows the templateYLabel[0] of templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[idxmax(X)] templateScale of templateTitleSubject[0] 's templateYLabel[1] accessed the templateYLabel[3] , up from templateYValue[min] templateScale in templateXValue[idxmin(Y)] .
In templateValue[0][0] , the templateTitle[0] of templateTitleSubject[0] numbered around 11.4 templateScale . Most of these inhabitants lived in the Dutch-speaking templateLabel[1][0] templateTitle[5] , which was home to nearly half of templateTitleSubject[0] 's templateTitle[0] . The templateLabel[3][0] templateTitle[5] , broadly in line with the French-speaking part of templateTitleSubject[0] , numbered roughly templateValue[3][0] templateScale inhabitants , and another templateValue[2][0] templateScale lived in Brussels and the surrounding areas ( which are bilingual ) .
This statistic shows the templateTitle[0] of the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in the templateTitle[5] from templateValue[0][last] to templateValue[0][0] . According to the source , templateValue[1][0] templateScale of employees were employed in the templateTitle[4] .
The statistic shows the number of templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in templateTitleSubject[0] from templateTitleDate[min] to templateTitleDate[max] . In templateTitleDate[max] , templateValue[0][0] 's templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] amounted to templateValue[0][0] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in templateTitleDate[0] , templateTitle[7] on templateXLabel[0] templateXLabel[1] . In that year , templateXValue[4] templateXValue[0] was the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] with a templateYLabel[0] templateYLabel[1] of templateYValue[max] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateTitle[0] templateTitle[1] of templateTitle[2] templateTitle[3] templateTitle[4] both templateTitle[5] and templateTitle[6] for templateLabel[2][0] in the United Kingdom ( templateTitleSubject[0] ) in templateTitleDate[min] and templateTitleDate[max] . With templateLabel[1][0] templateLabel[1][1] , templateValue[1][0] templateScale of templateLabel[2][0] were templateLabel[2][0] .
This statistic shows the templateYLabel[0] of the templateYLabel[2] templateYLabel[3] of templateYLabel[3] templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] of the templateTitleSubject[0] of templateTitleSubject[0] employees amounted to over templateYValue[2] templateScale templateYLabel[2] templateYLabel[3] .
This graph depicts the templateYLabel[0] templateYLabel[1] templateYLabel[2] for templateTitleSubject[0] games in Major League Baseball from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] templateYLabel[2] was at templateYValue[idxmax(X)] templateYLabel[3] templateYLabel[4] .
This statistic shows the templateScale of the total templateXLabel[1] living in templateXLabel[0] areas in templateTitleSubject[0] from templateXValue[last] to templateXValue[0] . In templateXValue[0] , templateYValue[max] templateScale of the total templateXLabel[1] of templateTitleSubject[0] was living in templateXLabel[0] areas .
This statistic shows the templateTitle[0] templateTitle[1] the largest number of people living in templateTitleSubject[0] in templateTitleDate[0] . The templateTitle[0] of templateXValue[0] was templateXValue[0] , with over templateYValue[max] templateScale templateYLabel[3] .
The statistic shows the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[6] in templateYLabel[2] to the templateTitle[4] templateTitle[5] templateTitle[6] ( templateYLabel[3] ) , with projections up until templateXValue[max] . The figures refer to the whole country and include the debts of the state , the communities , the municipalities and the social insurances . In templateXValue[6] , the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] amounted to approximately templateYValue[6] templateScale of the templateYLabel[3] .
This statistic shows the templateTitle[0] templateTitle[1] of templateTitleSubject[0] in the templateTitle[4] templateTitle[5] templateValue[0][last] to templateValue[0][0] , by ownership type . In templateValue[0][0] , templateTitleSubject[0] generated templateValue[2][0] templateScale U.S. dollars in templateLabel[2][0] templateTitle[0] templateTitle[1] . templateTitleSubject[0] is owned by Bloomin ' Brands , Inc. , a U.S.-based templateTitle[0] company .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateYLabel[3] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] amounted to approximately templateYValue[idxmax(X)] templateYLabel[3] templateYLabel[4] .
This statistic shows the results of a ranking of the templateTitle[0] templateTitle[1] templateTitle[2] in the templateTitleSubject[0] ( templateTitleSubject[1] ) as of 2013 . According to the source , the templateXValue[0] are the templateTitle[2] largest templateTitle[0] of templateYValue[max] templateYLabel[2] templateYLabel[3] .
The statistic presents the templateYLabel[0] of the templateTitleSubject[0] worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[4] templateYLabel[0] of the templateTitleSubject[0] amounted to templateYValue[idxmax(X)] templateScale templateYLabel[2] templateYLabel[3] .
This statistic shows the templateTitle[0] templateYLabel[0] of the templateTitle[3] templateTitle[4] of templateTitleSubject[0] templateTitle[7] from templateXValue[0] to templateXValue[last] . In templateTitleDate[0] , the templateTitle[0] of the templateTitleSubject[0] templateTitle[3] templateTitle[4] was templateYValue[max] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] annual templateYLabel[1] templateYLabel[2] of the four templateTitle[2] templateTitleSubject[0] worldwide as of 2019 . As of that templateXLabel[0] , templateXValue[0] had an templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateYValue[max] templateScale templateYLabel[4] templateYLabel[5] .
This statistic shows the templateTitleSubject[0] templateTitle[1] in the templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] templateTitle[7] in templateTitleDate[0] . In that year , templateValue[1][4] templateScale of the respondents said that they used templateTitle[7] at the templateValue[0][1] templateTitle[1] .
This statistic shows the number of templateTitleSubject[0] templateTitle[1] templateYLabel[0] worldwide from the first templateXLabel[0] of templateTitleDate[min] to the fourth templateXLabel[0] of templateTitleDate[max] . As of the last reported templateXLabel[0] , the social network had templateYValue[max] templateScale templateTitleSubject[0] , up from templateYValue[4] templateScale templateYLabel[0] in the preceding templateXLabel[0] .
The statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[3] templateYLabel[4] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , templateYValue[idxmin(X)] templateScale people accessed the templateYLabel[3] through their templateYLabel[1] templateYLabel[2] . In templateXValue[max] , this figure is projected to amount to templateYValue[idxmax(X)] templateScale templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This statistic shows the templateYLabel[0] of 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 shows the 20 templateTitleSubject[0] templateTitle[1] the templateTitle[2] templateTitle[3] templateTitle[4] based on templateYLabel[0] templateYLabel[1] in templateTitleDate[0] . In templateTitleDate[0] , the templateXValue[0] had the largest templateYLabel[0] templateYLabel[1] of templateYValue[max] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateTitle[1] templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , about templateYValue[idxmax(X)] templateScale of templateTitleSubject[0] 's templateYLabel[1] lived below the templateTitle[1] line .
This statistic shows the templateTitle[0] templateTitle[1] of templateTitleSubject[0] templateTitle[3] templateTitle[4] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , templateLabel[1][0] templateLabel[1][1] had a templateTitle[0] templateTitle[1] of templateValue[1][0] templateScale .
This statistic shows the templateTitle[0] templateTitle[1] templateXLabel[0] templateTitle[3] of the templateTitle[4] templateTitleSubject[0] in templateTitleDate[0] . The templateXValue[0] of templateTitleSubject[0] with a templateYLabel[0] templateYLabel[1] of templateYValue[max] templateYLabel[2] templateYLabel[3] .
The statistic shows templateTitle[0] templateTitle[1] templateTitle[2] ( templateYLabel[0] ) of the templateTitleSubject[0] templateTitle[4] in templateTitleDate[0] . The templateTitleSubject[0] region in North Africa and the Middle East comprises the templateTitle[4] templateXValue[7] , templateXValue[15] , templateXValue[4] , templateXValue[1] , templateXValue[5] , templateXValue[3] , templateXValue[12] , templateXValue[8] , templateXValue[11] , templateXValue[13] , templateXValue[9] , templateXValue[10] , templateXValue[6] , templateXValue[0] , Syria , templateXValue[14] , templateXValue[2] Emirates and templateXValue[last] . In templateTitleDate[0] , templateYLabel[0] of templateXValue[7] amounted to approximately templateYValue[7] templateScale templateYLabel[2] templateYLabel[3] .
The statistic shows the templateYLabel[0] of templateTitleSubject[0] templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of templateYLabel[1] in the templateYLabel[2] in the templateTitleSubject[0] amounted to templateYValue[idxmax(X)] templateYLabel[0] , an templatePositiveTrend of more than five templateScale compared to the previous templateXLabel[0] .
The statistic shows the templateTitle[0] of the templateTitle[1] templateTitle[2] in the United Kingdom ( templateTitleSubject[0] ) between templateTitleDate[min] and templateTitleDate[max] . The templateValue[0][0] had the highest templateTitle[0] templateTitle[1] templateTitle[2] , with templateValue[1][0] templateScale of respondents .
This statistic provides information on the templateTitle[0] templateTitle[1] the templateTitle[2] templateTitle[3] in the United Kingdom ( templateTitleSubject[0] ) as of 2019 , sorted templateTitle[6] templateYLabel[0] . According to the survey period , templateXValue[0] was the templateTitle[0] templateTitle[1] templateXLabel[0] in the United Kingdom , with a total templateYLabel[0] of templateYValue[max] templateScale British pounds .
The statistic presents the templateTitle[4] of the templateTitle[1] templateTitle[2] templateYLabel[0] worldwide from the first templateXLabel[0] of templateTitleDate[min] to the fourth templateXLabel[0] of templateXValue[0] . As of the most recently reported templateXLabel[0] , the templateYValue[last] templateScale templateYLabel[2] templateYLabel[3] , a two templateScale templateYLabel[0] .
This statistic shows the templateTitle[0] of templateValue[0][0] in the templateTitle[2] templateTitle[3] in templateTitleDate[0] , templateTitle[4] templateLabel[0][0] . In templateTitleDate[0] , the templateTitle[0] of templateTitleSubject[0] in templateValue[0][0] was templateValue[0][0] , with templateValue[1][0] U.S. dollars in templateLabel[4][0] .
This statistic shows the templateYLabel[0] of the templateTitle[0] employees in the templateTitleSubject[0] in templateTitleDate[0] , templateTitle[7] templateXLabel[1] . It was that the average templateYLabel[0] of people of templateYLabel[2] templateYLabel[3] .
This statistic gives information on the templateTitle[0] templateTitle[1] templateTitle[2] employees in the templateTitle[4] as of 2019 . According to the survey findings , it was found that templateYValue[7] templateScale of templateYLabel[2] templateYLabel[3] .
This statistic shows the average templateYLabel[0] templateYLabel[1] in selected countries in templateTitle[5] templateTitleDate[0] . The templateYLabel[0] templateYLabel[1] is estimated to be around templateYValue[max] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic shows the total annual templateYLabel[1] of the templateTitle[0] templateTitle[1] templateYLabel[0] in the templateTitleSubject[0] from templateXValue[min] , with a templateTitle[0] up to templateXValue[max] . In templateXValue[1] , the templateTitle[0] templateTitle[1] templateYLabel[0] was valued at templateYValue[5] templateScale British pounds . This is templateTitle[0] to grow annually , with a total templateYLabel[0] templateYLabel[1] of templateYValue[idxmax(X)] templateScale by templateXValue[idxmax(Y)] .
With a templateYLabel[0] templateYLabel[1] of templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] , templateXValue[0] was the templateTitleSubject[0] templateXValue[0] with a templateYLabel[0] templateYLabel[1] of templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] . The multinational templateXValue[1] is the second place with a templateYLabel[1] of templateYValue[1] templateScale templateYLabel[3] templateYLabel[4] .
This statistic shows the templateYLabel[0] of templateYLabel[2] of the templateTitle[1] templateYLabel[1] in the templateTitle[0] from templateXValue[last] to templateXValue[0] . According to the source , there were around templateYValue[last] templateScale templateYLabel[1] in the templateTitle[1] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[0] templateTitleSubject[0] from the templateXValue[last] to templateXValue[0] . In templateXValue[0] , the templateTitle[0] templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] was templateYValue[last] templateYLabel[2] templateYLabel[3] .
This statistic shows the results of a survey among the templateTitle[0] of people in the templateTitleSubject[0] in templateTitleDate[0] . Of templateYLabel[1] of a survey conducted with templateYValue[1] templateScale of people who were templateXValue[0] templateYLabel[3] in templateTitleDate[0] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in templateTitleSubject[0] in templateTitleDate[0] , templateTitle[7] templateXLabel[0] . In templateTitleDate[0] , the templateTitle[0] of templateXValue[0] had the highest templateYLabel[0] templateYLabel[1] of templateYValue[max] templateYLabel[2] templateYLabel[3] .
This statistic displays the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateTitleDate[min] to templateTitleDate[max] . In templateTitleDate[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at templateYValue[min] templateScale .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] in the templateTitleSubject[0] between templateTitleDate[min] and templateTitleDate[max] , with a forecast for templateTitleDate[max] . In templateTitleDate[max] , the templateTitle[0] templateTitle[1] templateTitle[2] in the templateTitleSubject[0] stood at templateValue[3][last] templateScale .
This statistic shows the results of a survey concerning the templateTitle[0] of templateValue[0][0] in the templateTitleSubject[0] from templateValue[0][last] to templateValue[0][0] . The templateTitle[0] of the templateValue[0][0] this figure stood at templateValue[1][0] templateScale templateYLabel[3] templateYLabel[4] in templateValue[0][0] .
This statistic shows the templateScale of templateTitle[1] in the templateTitleSubject[0] and templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in templateTitleDate[min] and templateTitleDate[max] . During the survey period , it was found that templateValue[1][0] templateScale of templateLabel[1][0] templateLabel[1][1] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateYLabel[0] of templateTitleSubject[0] in templateTitleDate[0] . The survey revealed that templateXValue[0] was the templateTitle[0] templateTitle[1] templateXValue[1] with a templateYLabel[0] of templateYValue[max] templateScale templateYLabel[3] .
This statistic illustrates the templateYLabel[0] templateYLabel[1] breakdown of templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in templateTitleDate[0] . That year , templateXValue[0] held a templateYLabel[0] templateYLabel[1] of templateYValue[max] templateScale of the templateTitle[1] templateTitle[2] templateXLabel[0] worldwide .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] the templateTitle[7] templateTitle[8] templateTitle[9] in templateTitleSubject[0] in templateTitleDate[0] . It was templateXValue[0] with a templateYLabel[0] of templateYValue[max] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] templateTitle[1] templateTitle[2] templateTitle[3] templateYLabel[1] of the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] at templateTitle[3] games of the templateTitleSubject[0] was templateYValue[0] templateYValue[idxmax(X)]
This statistic shows the templateYLabel[0] of templateYLabel[1] in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[idxmax(X)] templateScale templateYLabel[1] in the templateTitleSubject[0] .
This statistic gives information on the templateTitle[0] templateTitle[1] templateTitle[2] templateXValue[last] as of 2017 . During the survey period , it was found that templateYValue[1] templateScale of templateYLabel[1] stated that they used templateXValue[1] .
This statistic shows the templateYLabel[0] of the templateTitle[0] employees from templateXValue[min] to templateXValue[max] . As of templateXValue[max] , the company 's templateYLabel[0] amounted to over templateYValue[2] templateScale templateYLabel[2] templateYLabel[3] .
This statistic provides information on the average templateYLabel[0] of time templateTitle[4] templateTitle[5] templateTitle[7] in the templateTitle[1] as of 2017 , sorted templateTitle[8] templateTitle[9] . During the survey , it was found that templateValue[2][0] templateScale of templateLabel[2][0] templateValue[0][0] and templateValue[2][0] templateScale of the templateTitle[4] respondents had a templateValue[0][0] .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at approximately templateYValue[idxmax(X)] templateScale .
This statistic displays the templateTitle[0] of templateTitle[1] templateTitle[2] templateTitle[3] in the United Kingdom ( templateTitleSubject[0] ) in templateTitleDate[0] , distinguished templateTitle[4] templateTitle[5] templateTitle[6] . In templateTitleDate[0] , templateValue[0][0] , the templateTitle[0] of templateLabel[1][0] templateLabel[1][1] amounted to about templateValue[2][3] templateScale U.S. dollars .
This statistic shows the templateYLabel[0] of people from different countries around the world in templateTitleDate[0] , who hold a favorable opinion of the templateXValue[27] States . In templateTitleDate[0] , templateYValue[40] templateScale of templateYLabel[1] in templateXValue[40] held a favorable view of the templateXValue[27] States .
The templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] one dozen , or 12 , templateTitle[4] in templateTitleSubject[0] was templateValue[2][3] Canadian dollars in 2019 . This templateTitle[2] has remained relatively stable over the given time period , not templatePositiveTrend above templateValue[2][max] or below templateValue[2][min] Canadian dollars . The Canadian egg marketCanada produces an templatePositiveTrend number of templateTitle[4] each year .
This statistic shows the templateTitle[1] and templateTitle[2] templateTitle[3] templateTitle[4] in templateTitleSubject[0] in templateTitleDate[min] and templateTitleDate[max] , templateTitle[7] templateTitle[8] . In templateTitleDate[max] , the average templateTitle[1] of templateValue[0][0] was templateValue[0][0] with templateValue[1][0] templateScale of respondents aged between 25 to 34 years old reported in templateTitleDate[max] .
This graph depicts the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] of the National Football League from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] came to templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] . The templateTitleSubject[0] are owned by Terry and Kim Pegula .
This statistic shows the 20 templateTitleSubject[0] templateTitle[1] the templateTitle[2] templateTitle[3] in templateTitleDate[0] . In templateTitleDate[0] , the templateXValue[0] had the highest templateYLabel[0] templateYLabel[1] of a templateYLabel[3] of templateYValue[max] templateYLabel[2] templateYLabel[3] .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] household end users in templateTitleSubject[0] templateTitle[7] from templateXValue[17] to templateXValue[0] . In the second half of templateXValue[1] , the average templateTitle[0] price templateTitle[2] templateTitle[3] was templateYValue[1] templateYLabel[0] templateYLabel[1] templateYLabel[2] kWh .
This statistic shows the templateYLabel[0] of the templateYLabel[1] of the templateYLabel[2] templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] of the templateYLabel[1] of the templateTitle[4] came to over templateYValue[2] templateScale templateYLabel[3] .
This statistic shows the templateTitle[0] of templateTitle[1] in the templateTitle[3] in templateTitleDate[0] , templateTitle[5] templateXLabel[0] . In templateXValue[0] , the templateTitle[3] highest templateYLabel[0] of templateXValue[1] with a templateYLabel[1] of templateYValue[max] templateYLabel[2] templateYLabel[3] .
templateValue[0][0] was the leading templateTitle[3] producing templateLabel[0][0] templateTitle[2] as of templateTitleDate[max] . In that year they produced an estimated 700,000 metric tons of templateTitle[3] . templateTitle[3] 's end-uses templateTitle[3] is an allotrope of carbon that is comprised of layers of carbon atoms .
This statistic shows the templateTitle[0] templateTitle[1] average templateYLabel[0] of people in the templateTitle[2] in templateTitleDate[0] . According to the source , templateXValue[0] , templateXValue[1] , with templateYValue[1] templateScale templateYLabel[3] templateYLabel[4] .
The statistic depicts the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[2] templateXLabel[0] templateXLabel[1] templateTitle[5] as of 2017 , templateTitle[6] templateTitle[7] . templateXValue[0] has won the most recently with templateYValue[max] templateTitle[4] templateYLabel[1] in the templateTitleSubject[1] .
The statistic shows templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) denotes the aggregate value of all services and goods produced within a country in any given templateXLabel[0] . templateTitle[3] is an important indicator of a country 's economic power .
This statistic shows the total templateYLabel[0] of templateTitleSubject[0] in the first templateXLabel[0] of templateTitleDate[min] and the fourth templateXLabel[0] of templateTitleDate[max] . The company 's templateYLabel[0] templateYLabel[1] amounted to templateYValue[0] templateScale templateYLabel[3] templateYLabel[4] in the first templateXLabel[0] of templateTitleDate[0] .
During the observation period , templateTitle[2] 's popularity has templateNegativeTrend among templateTitle[0] between 11 and templateValue[2][min] templateLabel[1][1] in templateTitleSubject[0] and has templatePositiveTrend among templateTitle[0] between templateValue[1][2] and ten templateLabel[1][1] . In 2017/2018 , templateValue[2][min] templateScale of 11 to templateValue[2][min] templateLabel[0][0] olds participated in templateTitle[2] in the templateValue[1][1] templateLabel[1][1] prior to the survey . Participation peaked in 2011/2012 , when templateValue[2][max] templateScale of the templateTitle[0] in that age group played templateTitle[2] .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at approximately templateYValue[idxmax(X)] templateScale .
This statistic gives information on the distribution of the templateTitle[0] templateTitle[1] templateTitle[2] templateTitleSubject[0] templateTitle[4] on templateTitle[4] templateYLabel[0] of templateYLabel[1] . As of that time , the templateXValue[0] is the templateTitle[0] templateTitle[1] templateTitle[2] , with a value of templateYValue[max] templateScale templateYLabel[3] .
The statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] and templateTitle[4] templateTitle[5] templateTitle[6] templateTitle[7] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the average templateYLabel[0] templateYLabel[1] of templateYLabel[2] templateYLabel[3] was templateYValue[7] templateYLabel[3] .
This graph depicts the templateYLabel[0] templateYLabel[1] templateYLabel[2] for templateTitleSubject[0] games in Major League Baseball from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] templateYLabel[2] was at templateYValue[idxmax(X)] templateYLabel[3] templateYLabel[4] .
This statistic shows the average templateYLabel[0] of the templateTitle[1] templateTitleSubject[0] from the first half of 2013 to 2019 . In the last measured period , the average templateYLabel[0] of people amounted to templateYValue[0] thousand templateYLabel[2] templateYLabel[3] .
This statistic presents the templateTitle[0] of templateTitle[1] templateTitle[2] of templateYLabel[2] templateTitle[4] from templateXValue[min] to templateXValue[max] , on templateTitle[1] . According to the source , the templateTitle[0] of templateYLabel[2] in templateTitleSubject[0] has templatePositiveTrend since templateXValue[min] , from templateYValue[idxmin(X)] templateScale templateYLabel[1] templateYLabel[2] .
Among the 'Best of people who are the most templateXValue[7] templateXValue[13] templateXValue[13] to templateXValue[0] . templateXValue[0] , with over templateYValue[max] templateScale templateYLabel[3] , making it the templateTitle[0] templateTitle[1] in templateTitleSubject[0] . It was followed by templateXValue[2] with over templateYValue[1] templateScale of the templateYLabel[1] templateYLabel[3] .
The statistic gives information on the templateYLabel[3] templateTitle[2] of templateTitleSubject[0] as of 2019 . As of that time , templateXValue[0] had the highest templateYLabel[0] of templateTitle[4] templateXValue[0] with over templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] .
As of 2019 , it was found that templateYValue[max] templateScale of people templateYLabel[3] on templateXValue[0] accounted for up to templateYValue[1] templateScale of the templateYLabel[1] templateTitle[4] . The templateTitle[0] of all templateYLabel[2] templateYLabel[3] can be linked to various various statistic on the platform .
As of 2019 , templateXValue[0] accounted for over templateYValue[max] templateScale of people . It was followed by templateXValue[1] with templateYValue[1] templateScale of the templateYLabel[1] having templateTitle[4] . More specifically that time , it was followed by templateXValue[2] and templateYValue[2] templateScale of the people .
This statistic shows the average templateTitleSubject[0] templateTitle[1] at birth templateTitle[2] templateTitle[3] in templateTitleDate[0] . The average templateTitleSubject[0] templateTitle[1] for templateLabel[2][0] in templateTitleDate[0] was templateValue[1][1] years for templateLabel[1][0] and templateValue[2][1] years for templateLabel[1][0] and templateValue[2][1] years for templateLabel[2][0] in templateTitleDate[0] .
This graph depicts the templateYLabel[0] templateYLabel[1] templateYLabel[2] for templateTitleSubject[0] games of the National Basketball Association from templateXValue[last] to templateXValue[0] . In the templateXValue[last] season , the templateYLabel[0] templateYLabel[1] templateYLabel[2] was templateYValue[last] templateYLabel[3] templateYLabel[4] .
This statistic shows the templateYLabel[0] of the templateTitle[1] templateTitle[2] and templateTitle[3] templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[4] , the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] amounted to templateYValue[3] templateScale templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] templateYLabel[1] breakdown of the templateTitleSubject[0] in templateTitleDate[0] , templateTitle[5] templateXLabel[0] . The templateXValue[0] accounted for templateYValue[max] templateScale of the templateTitleSubject[1] 's templateYLabel[0] in templateTitleDate[0] .
This statistic shows the templateTitle[0] templateTitle[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . The templateTitle[0] templateTitle[1] is the average templateYLabel[0] of templateYLabel[1] a templateYLabel[4] will have during her child-bearing years . In templateXValue[max] , the templateTitle[0] templateTitle[1] of templateTitleSubject[0] 's population was templateYValue[idxmax(X)] templateYLabel[1] templateYLabel[3] templateYLabel[4] .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitle[1] templateTitle[2] in templateTitleSubject[0] was at about templateYValue[idxmax(X)] templateYLabel[0] templateYLabel[1] 1,000 templateYLabel[3] templateYLabel[4] .
This statistic shows the 20 templateTitleSubject[0] templateTitle[1] the templateTitle[2] templateTitle[3] templateTitle[4] in templateTitleDate[0] . In that year , the templateXValue[0] in the templateTitle[1] of the templateTitle[2] templateTitle[3] templateTitle[4] in templateXValue[1] stood at templateYValue[1] .
This graph depicts the templateYLabel[0] templateYLabel[1] templateYLabel[2] for templateTitleSubject[0] games of the National Basketball Association from templateXValue[last] to templateXValue[0] . In the templateXValue[last] season , the templateYLabel[0] templateYLabel[1] templateYLabel[2] was templateYValue[min] templateYLabel[3] templateYLabel[4] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] the United Kingdom ( templateTitleSubject[0] ) as of templateTitle[7] templateTitleDate[0] . According to the source , templateXValue[0] accounted for over templateYValue[max] templateScale of people templateYLabel[3] of people .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitleSubject[0] as of templateTitleSubject[0] templateTitleDate[0] . templateTitleSubject[0] 's templateYLabel[0] of templateTitleSubject[0] templateTitleDate[0] was around templateYValue[max] templateScale templateYLabel[4] templateYLabel[5] in templateTitleSubject[0] .
This statistic shows the distribution of adults in the templateTitle[4] in templateTitleDate[0] . According to the survey , templateYValue[max] templateScale of templateYLabel[1] said that they templateXValue[0] .
The statistic shows the templateYLabel[1] in real templateYLabel[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , templateTitleSubject[0] 's real templateTitle[0] templateTitle[1] templateTitle[2] templatePositiveTrend by around templateYValue[6] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[7] of the templateTitle[2] templateTitle[3] templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of a templateYLabel[4] of templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . The templateYLabel[0] templateYLabel[1] is the templateYLabel[1] that divides a templateTitle[2] into two numerically equal groups ; that is , half the people are younger than this templateYLabel[1] and half are older . It is a single index that summarizes the templateYLabel[1] distribution of a templateTitle[2] .
This statistic shows the templateTitle[0] of the templateTitle[1] templateTitle[2] templateTitle[4] in templateTitleSubject[0] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , the templateTitle[0] of the employees in templateTitleSubject[0] amounted to templateValue[1][2] templateScale compared to the previous templateLabel[0][0] .
This graph depicts the templateYLabel[0] templateTitle[1] templateTitle[2] templateTitle[3] templateYLabel[1] of the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] at templateTitle[3] games of the templateTitleSubject[0] was templateYValue[0] templateYValue[idxmax(X)]
As of 2019 , the templateTitle[0] templateTitle[1] templateTitle[2] in templateTitleSubject[0] was templateXValue[0] with a templateYLabel[0] templateYLabel[1] of templateYValue[max] templateYLabel[2] templateYLabel[3] . This statistic gives over 70 templateScale of the employees who were using the templateTitle[2] in templateTitleSubject[0] .
This statistic shows the templateYLabel[0] of templateYLabel[2] templateYLabel[3] at templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateXValue[min] to templateXValue[max] . According to the source , there were templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] templateTitle[4] in templateTitleSubject[0] in templateXValue[max] , up from templateYValue[1] in the previous templateXLabel[0] .
This statistic shows the distribution of templateYLabel[2] templateYLabel[3] of the templateTitle[7] templateTitle[8] templateTitle[9] in templateTitleSubject[0] as of templateTitleDate[0] . At that time , templateXValue[0] was the templateTitle[0] of America with a score of templateYValue[max] templateYLabel[2] templateYLabel[3] , followed by templateXValue[1] with templateYValue[1] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] of templateYLabel[1] of the templateTitleSubject[0] templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were a total of templateYValue[idxmax(X)] templateYLabel[1] in templateTitleSubject[0] .
This statistic shows the templateTitle[0] templateTitle[1] average templateYLabel[0] of templateXValue[7] templateTitle[4] templateYLabel[1] in the United Kingdom ( templateTitleSubject[0] ) from templateTitleDate[min] to templateTitleDate[max] . The templateTitle[0] templateTitle[1] is defined as the trademark and changes within a ranking of one templateScale templateYLabel[3] templateYLabel[4] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[3] templateTitle[4] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the average templateYLabel[0] templateYLabel[1] of a templateTitle[2] in templateTitleSubject[0] was templateYValue[max] templateYLabel[2] templateYLabel[3] .
The statistic shows the templateTitle[0] of templateTitleSubject[0] employed templateTitle[3] templateTitle[4] from templateValue[0][last] to templateValue[0][0] , templateTitle[7] templateTitle[8] . The templateTitle[0] of templateTitleSubject[0] templateTitle[2] templateTitleSubject[0] generated approximately 3.3 templateScale templateYLabel[3] in templateValue[0][0] .
This statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] and templateXValue[max] . According to the source , the data are ILO estimates . In templateXValue[max] , the estimated templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] was at templateYValue[idxmax(X)] templateScale .
This statistic illustrates the templateTitle[0] templateTitle[1] templateYLabel[0] of the United Kingdom ( templateTitleSubject[0] ) . The templateTitle[0] templateTitle[1] templateTitle[2] in the United Kingdom was templateXValue[0] , with over templateYValue[max] templateScale of the templateYLabel[1] , followed by templateXValue[1] with templateYValue[1] templateScale of the templateYLabel[1] .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateYLabel[0] in the templateTitle[5] in templateTitleDate[0] . The templateXValue[0] amounted to templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] in the templateXValue[idxmax(Y)] season .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitleSubject[0] templateTitle[7] templateTitle[8] in templateTitleDate[0] , based on templateTitle[7] templateTitle[8] . In templateXValue[0] was ranked first with a templateYLabel[0] templateYLabel[1] of templateYValue[max] templateYLabel[2] templateYLabel[3] .
The statistic shows the templateYLabel[1] in real templateYLabel[0] in the templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the templateTitleSubject[0] ' real templateTitle[0] templateTitle[1] templateTitle[2] templatePositiveTrend by around templateYValue[6] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of the templateYLabel[3] of templateTitle[1] templateTitleSubject[0] reached templateYValue[idxmax(X)] templateScale templateYLabel[3] templateYLabel[4] , up from templateYValue[1] templateScale templateYLabel[3] in the previous templateXLabel[0] . The templateYLabel[0] templateYLabel[1] of the highest in templateTitleSubject[0] was templateYValue[max] templateYValue[idxmax(X)] templateYLabel[3] templateYLabel[4] in templateXValue[idxmax(Y)] .
This statistic shows the templateTitle[0] templateYLabel[0] of the templateTitle[2] in the templateTitleSubject[0] in templateTitleDate[0] . The templateTitle[0] templateYLabel[0] of templateXValue[2] was templateYValue[2] templateYLabel[2] templateYLabel[3] .
This graph depicts the templateYLabel[0] templateYLabel[1] of all National Basketball Association in templateTitleDate[0] . The templateXValue[0] had an estimated templateYLabel[0] of templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] in the National Basketball Association .
This graph depicts the annual National Hockey League templateYLabel[0] of the templateTitleSubject[0] from the templateXValue[last] season to the templateXValue[0] season . The templateYLabel[0] of the templateTitleSubject[0] amounted to templateYValue[0] templateScale templateYLabel[2] templateYLabel[3] in the templateXValue[0] season .
This statistic shows the degree of templateTitle[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . templateTitle[0] means the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateYLabel[3] templateYLabel[2] of a country . In templateXValue[max] , templateYValue[idxmax(X)] templateScale of templateTitleSubject[0] 's templateYLabel[3] templateYLabel[2] lived in templateYLabel[1] areas and cities .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] the leading templateXLabel[0] templateTitle[5] in the United Kingdom ( templateTitleSubject[0] ) from templateTitleDate[min] to templateTitleDate[max] . In templateTitleDate[max] , the templateXValue[0] ranked first with a templateTitle[0] templateTitle[1] templateTitle[2] of templateYValue[max] templateScale U.S. dollars .
The statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] to the templateTitle[3] templateTitle[4] templateTitle[5] ( templateYLabel[3] ) in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] amounted to about templateYValue[min] templateScale of the templateTitle[3] templateTitle[4] templateTitle[5] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the development of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the company employed approximately templateYValue[idxmax(X)] templateScale templateYLabel[3] templateYLabel[4] .
The statistic shows the templateYLabel[0] of the templateTitleSubject[0] franchise from the templateXValue[last] season to the templateXValue[0] season . In templateXValue[0] , the estimated templateYLabel[0] of the National Basketball Association franchise amounted to templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] .
This statistic shows the projected templateYLabel[0] starting salaries templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] templateTitle[7] in the templateTitle[0] in templateTitleDate[0] . In templateTitleDate[0] , templateXValue[0] had the largest templateTitle[0] of templateYValue[max] templateScale of all templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] templateYLabel[1] in the templateTitleSubject[0] of templateTitleDate[0] , templateTitle[5] templateTitle[6] . In templateTitleDate[0] , the templateXValue[0] had an templateYLabel[0] templateYLabel[1] of templateYValue[max] templateScale templateYLabel[2] to the templateYLabel[3] templateYLabel[4] .
This statistic shows the total annual templateYLabel[0] of the templateTitle[1] templateYLabel[2] templateYLabel[3] of templateTitle[1] in the templateTitle[0] from templateXValue[min] to templateXValue[max] . In templateXValue[1] , the templateYLabel[0] of the templateTitle[1] templateTitle[2] stood at templateYValue[1] templateScale templateYLabel[2] templateYLabel[3] .
This statistic shows the templateXValue[0] templateTitle[4] of the templateTitle[0] templateTitle[1] templateTitle[2] in the templateTitleSubject[0] in templateTitleDate[0] , based on templateYLabel[0] templateYLabel[1] . The templateYLabel[0] templateTitle[2] templateNegativeTrend by far the most templateYLabel[1] in that year , with templateYValue[2] templateScale compared to the previous year .
This statistic shows the templateYLabel[0] of the templateTitle[0] of the templateYLabel[2] templateTitle[4] templateTitleSubject[0] from templateXValue[last] to templateXValue[0] . In the templateXValue[0] season , the templateTitle[0] templateYLabel[0] of the templateTitleSubject[0] was templateYValue[last] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateScale of templateYLabel[1] templateYLabel[2] templateYLabel[3] between 2017 and 2018 , sorted by templateXLabel[0] . During the measured period , it was found that templateYValue[max] templateScale of templateYLabel[1] templateYLabel[2] templateYLabel[3] had between IP addresses in the templateXValue[0] .
This graph depicts the templateYLabel[0] templateYLabel[1] templateYLabel[2] for templateTitleSubject[0] games of the National Basketball Association from templateXValue[last] to templateXValue[0] . In the templateXValue[last] season , the templateYLabel[0] templateYLabel[1] templateYLabel[2] was templateYValue[last] templateYLabel[3] templateYLabel[4] .
This statistic shows the templateTitle[0] of templateTitleSubject[0] employees templateTitle[4] from templateValue[0][last] to templateValue[0][0] , templateTitle[7] templateTitle[8] . In templateValue[0][0] , the templateTitle[0] of templateTitleSubject[0] generated approximately templateValue[3][0] templateScale U.S. dollars in templateLabel[1][0] templateLabel[1][1] .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] in templateTitleDate[0] , templateTitle[5] templateTitle[6] . In templateTitleDate[0] , templateYValue[max] templateScale of the templateYLabel[1] of templateXValue[0] were the most important templateTitle[1] templateTitle[2] .
The statistic presents the templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateYLabel[3] of the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] to templateTitleSubject[0] in templateXValue[min] and templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateYLabel[3] amounted to templateYValue[idxmax(X)] templateScale .
The statistic gives information on the templateYLabel[3] templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[idxmax(X)] templateScale of the Brazilian population accessed the templateYLabel[3] , up from templateYValue[15] templateScale in templateXValue[16] .
This statistic illustrates the templateYLabel[0] templateYLabel[1] of the sports company templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . templateTitleSubject[0] had a templateYLabel[0] templateYLabel[1] of templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] in templateXValue[idxmax(Y)] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . The templateTitle[0] of templateTitleSubject[0] templateTitle[2] templateTitle[3] templateTitle[4] was templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
The statistic shows the templateYLabel[0] of the templateYLabel[1] of the templateTitle[1] templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . According to the source , the templateTitle[0] of templateTitle[2] in templateTitleSubject[0] has been templatePositiveTrend , amounting to templateYValue[0] templateScale in templateXValue[max] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[2] in the templateTitle[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[1] of templateTitleSubject[0] was approximately templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] of templateYLabel[1] of the templateTitle[1] templateTitle[2] templateTitle[3] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateYLabel[3] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the average templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] was approximately templateYValue[0] templateYValue[idxmax(X)] templateYLabel[3] templateYLabel[4] .
This statistic shows the templateTitle[0] of templateTitle[1] in the United Kingdom ( templateTitleSubject[0] ) from templateValue[0][last] to templateValue[0][0] , templateTitle[7] templateTitle[8] . The templateTitle[0] of templateTitle[1] in templateTitleSubject[0] stood at templateValue[1][0] U.S. dollars in templateValue[0][0] .
This statistic shows the average templateTitle[0] templateYLabel[0] templateYLabel[1] templateYLabel[2] as templateTitle[2] templateTitle[3] templateYLabel[3] templateTitle[5] from templateXValue[min] to templateXValue[max] . In the templateXValue[min] calendar templateXLabel[0] , a templateYLabel[3] templateTitle[0] farmer templateTitle[2] an average templateYLabel[0] of templateYValue[idxmin(X)] templateYLabel[4] templateYLabel[1] one templateYLabel[2] of upland templateTitle[0] .
templateLabel[2][0] is the largest source of templateTitle[2] for templateTitleSubject[0] . In 2018/2019 , the club earned approximately templateValue[2][0] templateScale euros from templateLabel[2][0] , more than double than in 2010/2011 . The second biggest templateTitle[2] templateTitle[4] is the templateLabel[3][0] templateTitle[4] .
The statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] on templateTitle[3] and templateTitle[4] templateTitle[5] in the templateTitle[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the country 's templateYLabel[0] templateYLabel[1] templateYLabel[2] on templateTitle[3] and templateTitle[4] amounted to templateYValue[idxmax(X)] templateYLabel[3] templateYLabel[4] per consumer unit .
This graph depicts the templateYLabel[0] templateYLabel[1] templateYLabel[2] for templateTitleSubject[0] games of the National Basketball Association from templateXValue[last] to templateXValue[0] . In the templateXValue[last] season , the templateYLabel[0] templateYLabel[1] templateYLabel[2] was templateYValue[last] templateYLabel[3] templateYLabel[4] .
In fiscal year templateTitleDate[0] , the templateTitle[0] templateTitle[1] templateTitle[2] in the templateTitle[3] across templateTitleSubject[0] was templateXValue[0] , with a total of templateYValue[max] templateYLabel[2] templateYLabel[3] . It was followed by templateXValue[1] , with templateYValue[1] templateYLabel[2] templateYLabel[3] that year .
The timeline shows the templateTitle[0] of templateTitle[1] templateTitle[2] and templateTitle[4] templateTitle[5] in the templateTitle[0] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , about templateValue[1][last] templateScale of templateTitleSubject[0] templateTitle[0] on templateTitle[2] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateYLabel[3] templateTitle[4] templateTitle[5] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the average templateYLabel[0] templateYLabel[1] of a templateTitleSubject[0] of templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
This statistic shows the results of a survey conducted in the templateTitle[0] in templateTitleDate[0] , the templateTitle[7] templateTitle[8] . The survey results were templateValue[1][1] templateScale of the respondents stated that they used templateValue[0][0] a templateTitle[7] templateTitle[8] templateTitle[9] .
As of templateXValue[max] , the templateYLabel[0] of templateYLabel[1] in templateTitleSubject[0] amounted to approximately templateYValue[max] templateScale . As one of the biggest economies in Southeast Asia , templateTitleSubject[0] is an attractive destination for workers from neighboring countries seeking better wages and employment . Indonesians make up the majority of templateYLabel[1] With their shared culture , religion and a very similar language , Indonesia was the single biggest contributor of the country .
This graph depicts the total/average regular season templateTitle[5] templateTitle[6] of the templateTitleSubject[0] templateTitle[4] franchise of the templateTitleSubject[0] League from the templateValue[0][last] season to the templateValue[0][0] season . In templateValue[0][0] , the templateLabel[1][0] regular season templateTitle[5] templateTitle[6] of the franchise was templateValue[1][0] .
The statistic shows the distribution of templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] the templateTitle[4] in templateTitleDate[0] , templateTitle[7] templateTitle[8] . The survey shows that templateValue[1][0] templateScale of the people between the templateValue[0][0] to templateValue[0][0] .
This statistic shows the total of templateTitleSubject[0] templateYLabel[1] templateTitle[3] templateTitle[4] templateTitle[5] in the United Kingdom ( UK ) from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of templateTitleSubject[0] templateTitle[3] templateTitle[4] was templateYValue[idxmax(X)] templateYLabel[1] , an templatePositiveTrend of over the previous templateXLabel[0] .
This statistic provides information on the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[5] , templateTitleSubject[0] had templateYValue[5] templateScale templateYLabel[1] templateYLabel[2] . This figure is projected to grow to templateYValue[idxmax(X)] templateScale templateYLabel[1] templateYLabel[2] in templateXValue[idxmax(Y)] .
This statistic shows the distribution of templateTitle[1] the templateTitleSubject[0] templateTitle[2] templateTitle[3] times in templateTitleDate[0] , templateTitle[8] templateTitle[9] templateYLabel[1] . According to the survey , templateYValue[max] templateScale of the templateYLabel[1] reported accessing the templateTitle[7] templateTitle[8] templateXValue[0] .
This statistic presents the distribution of employees employees on the templateTitle[0] making it the largest templateXValue[0] templateYLabel[3] . As of that time , templateXValue[last] , the templateTitle[0] of templateXValue[0] , with over templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] , followed by templateXValue[1] with templateYValue[1] templateScale .
This statistic shows the templateTitle[0] templateTitle[1] in templateTitleSubject[0] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , about templateValue[1][min] templateScale of templateTitleSubject[0] 's total population were aged 0 to 14 templateLabel[1][1] .
This statistic shows the templateTitle[0] of templateTitle[1] and templateTitle[2] templateTitle[3] templateTitle[4] in the templateTitle[5] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , there were templateValue[1][0] templateLabel[1][0] templateTitle[3] templateTitle[4] in the templateTitle[5] .
This statistic shows the distribution of templateYLabel[2] templateYLabel[3] with the templateTitle[7] templateTitle[8] templateTitle[9] in templateTitleDate[0] . templateXValue[0] is the templateTitle[0] , leader in the templateTitle[4] , with templateYValue[max] templateYLabel[2] templateYLabel[3] .
templateTitleSubject[0] Park in the templateTitle[5] – the country 's oldest templateTitleSubject[0] - attracted a total of approximately templateYValue[0] templateScale templateYLabel[1] in templateXValue[max] , down from the previous templateXLabel[0] 's total of templateYValue[1] templateScale . The templateTitleSubject[0] received over templateYValue[6] templateScale templateYLabel[1] annually since templateXValue[min] and reached its visitation peak in templateXValue[3] with templateYValue[max] templateScale templateYLabel[1] .
The statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[3] templateTitle[4] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the average templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] templateTitle[4] was templateYValue[idxmax(X)] templateYLabel[3] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[0] templateTitleSubject[0] from the templateXValue[last] to templateXValue[0] . The templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] amounted to approximately templateYValue[0] thousand templateYLabel[3] .
The statistic shows the templateYLabel[0] templateYLabel[1] of templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the average templateYLabel[0] templateYLabel[1] of women at templateYLabel[2] in templateTitleSubject[0] was about templateYValue[max] templateYLabel[3] .
This statistic shows the templateTitle[0] of templateTitle[1] in the templateTitleSubject[0] templateTitle[3] from templateValue[0][last] to templateValue[0][0] , sorted templateTitle[6] templateTitle[7] . In templateValue[0][0] , it was estimated that the templateTitle[0] of templateTitle[2] templateTitle[3] in the United Kingdom ( UK ) amounted to templateValue[1][0] templateScale British pounds .
This statistic shows the templateYLabel[0] of the templateTitle[1] templateTitle[3] templateTitleSubject[0] worldwide in templateTitleDate[0] , templateTitle[4] templateXLabel[0] . According to the source , the templateXValue[0] had the largest amount of templateYValue[max] templateYLabel[2] templateYLabel[3] in that year .
This statistic shows the templateScale of the total templateTitle[4] of the templateTitle[0] in templateTitleDate[0] , templateTitle[7] templateXLabel[0] . It was that templateXValue[0] had the highest templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateYLabel[3] at templateYValue[max] templateYLabel[2] templateYLabel[3] .
The statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[0] templateTitle[1] templateYLabel[3] ( templateTitle[3] ) of the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] of the templateTitleSubject[0] was templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateTitle[0] of templateTitle[1] in the templateTitleSubject[0] from templateValue[0][last] to templateValue[0][0] , broken down templateTitle[7] templateTitle[8] . The templateTitle[0] of templateTitleSubject[0] employees in templateValue[0][0] amounted to templateValue[1][0] templateScale templateYLabel[3] templateYLabel[4] .
This statistic shows the templateYLabel[0] of the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in the templateTitle[0] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , there were around templateValue[1][0] templateScale templateYLabel[3] of the templateTitle[3] in the templateTitle[2] , an templatePositiveTrend from templateYValue[min] templateScale in templateXValue[idxmin(Y)] .
The statistic shows the templateYLabel[0] of the templateYLabel[2] templateYLabel[3] templateTitle[4] templateYLabel[3] between templateXValue[min] and templateXValue[max] . In templateXValue[max] , the data from the templateTitle[0] of the templateTitleSubject[0] was templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
The statistic shows the templateYLabel[2] templateTitle[0] templateTitle[1] templateTitle[2] ( templateYLabel[0] ) templateYLabel[1] templateYLabel[2] in the templateTitleSubject[0] from templateXValue[min] to templateXValue[7] , with projections up until templateXValue[max] . templateYLabel[0] is the total value of all goods and services produced in a templateXLabel[0] . It is considered to be a very important indicator of the economic strength of a country .
This statistic shows the templateTitle[0] of templateTitle[1] in the templateTitleSubject[0] templateTitle[3] from templateValue[0][0] to templateValue[0][last] , templateTitle[8] templateTitle[9] . The estimated templateValue[1][0] templateScale of the templateTitleSubject[0] templateTitle[1] were templateLabel[1][0] templateLabel[1][1] templateLabel[1][2] to the templateTitle[4] templateTitle[8] in templateValue[0][last] .
The statistic shows the average templateYLabel[0] templateYLabel[1] in the templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the average templateYLabel[0] templateYLabel[1] in the templateTitleSubject[0] amounted to about templateYValue[6] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
templateTitle[2] templateYLabel[1] at templateTitle[3] establishments in templateTitleSubject[0] have been steadily templatePositiveTrend each templateXLabel[0] since the start of the decade . In templateXValue[max] , a record templateYValue[idxmax(X)] templateScale tourists ( including residents and non-residents ) arrived at templateTitle[3] in templateTitleSubject[0] . Tourism in templateTitleSubject[0] In line with trends across Europe , tourism in templateTitleSubject[0] has experienced a boost in the last ten years .
This statistic shows the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to about templateYValue[6] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] templateTitleSubject[0] worldwide in templateTitleDate[0] , templateTitle[4] templateXLabel[0] . In that year , the templateXValue[0] had the largest templateYLabel[0] templateYLabel[1] of templateYValue[max] templateYLabel[2] templateYLabel[3] .
The statistic presents a ranking of the templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[0] in the templateTitle[4] as of 2019 . According to the source , templateValue[1][0] templateScale templateYLabel[2] templateYLabel[3] of templateXValue[0] accounted for templateYValue[3] templateScale of people .
This statistic shows the monthly amount of cars templateYLabel[1] by templateTitleSubject[0] templateTitle[1] 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] templateTitle[1] templateYLabel[0] had been templateYLabel[1] , a templateNegativeTrend of roughly ten templateScale in comparison to templateYValue[17] templateYLabel[0] as of 2018 .
The statistic shows the templateYLabel[1] templateYLabel[2] of the real templateTitle[0] templateTitle[1] templateTitle[2] ( templateYLabel[0] ) in the templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . templateYLabel[0] refers to the total market value of all goods and services that are produced within a country per templateXLabel[0] . It is an important indicator of the economic strength of a country .
This statistic displays the templateYLabel[0] of templateYLabel[2] in the templateTitle[2] templateTitle[4] templateYLabel[1] templateYLabel[2] in templateTitleDate[0] . At that time , templateXValue[0] had templateYLabel[2] in the highest templateYLabel[0] of templateYLabel[2] during that year .
This statistic displays the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateTitleDate[min] to templateTitleDate[max] . In templateTitleDate[max] , templateYLabel[0] in templateTitleSubject[0] was templateYValue[0] templateScale .
This statistic gives information on the templateTitle[0] templateTitle[1] rate templateYLabel[0] of people templateYLabel[2] templateYLabel[3] as of 2019 . During the survey period , it was found that templateXValue[0] accounted for templateYValue[max] templateScale of all templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in templateTitleDate[0] . In that year , the templateTitle[2] templateTitle[3] templateTitle[4] in templateXValue[0] was the world with a templateYLabel[0] value of templateYValue[max] templateYLabel[2] templateYLabel[3] of templateYLabel[4] .
The statistic shows templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) denotes the aggregate value of all services and goods produced within a country in any given templateXLabel[0] . templateTitle[3] is an important indicator of a country 's economic power .
This statistic shows the templateTitle[0] templateYLabel[0] of the templateTitle[3] templateTitle[4] of templateTitleSubject[0] from 2015 to 2019 . The templateTitle[0] of templateTitle[2] templateTitleSubject[0] templateTitle[4] was templateXValue[0] , with a templateYLabel[0] templateYLabel[1] of templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This statistic shows templateTitle[0] templateTitle[1] in the templateTitle[2] templateTitleSubject[0] in templateTitleDate[0] , templateTitle[5] share of templateTitle[0] templateYLabel[1] . In templateTitleDate[0] , around templateYValue[max] templateScale of templateYLabel[1] , in templateTitle[2] countries , identified as Hindu .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] in templateTitleSubject[0] in templateTitleDate[0] , templateTitle[5] templateXLabel[0] . In that year , the average annual templateYLabel[1] of templateXValue[0] in templateTitleSubject[0] amounted to about templateYValue[max] templateScale templateYLabel[3] .
In templateXValue[max] , there were templateYValue[idxmax(X)] recorded traffic templateYLabel[1] in templateTitleSubject[0] . The Scandinavian country had seen the templateYLabel[0] of templateTitle[1] templateTitle[2] drop significantly in the last ten years and by templateXValue[idxmin(Y)] reported 20 incidents per one templateScale inhabitants . This was the lowest templateTitle[1] fatality prevalence in Europe .
This statistic gives information on the templateTitle[0] of templateTitle[1] templateTitle[2] in the templateTitle[4] from templateValue[0][last] to templateValue[0][0] , sorted templateTitle[7] templateTitle[8] . As of templateValue[0][0] , it was found that templateValue[1][0] templateScale of the employees of templateTitle[4] made up from templateValue[1][last] templateScale in the previous templateLabel[0][0] .
As of 2019 , there were more than templateYValue[max] templateScale templateTitle[1] templateYLabel[1] in the templateTitleSubject[1] in templateTitleDate[0] , compared to a survey conducted in the previous year . templateYValue[min] templateScale of templateYLabel[1] in the templateTitleSubject[0] stated that they used a templateTitle[2] templateTitle[3] were templateXValue[0] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] of templateTitle[4] in templateTitleSubject[0] in templateTitleDate[min] and templateTitleDate[max] . In the first templateLabel[0][0] of templateTitleDate[max] , the templateTitle[1] templateTitle[2] templateTitle[3] of templateTitle[4] in templateTitleSubject[0] in the country was templateValue[2][max] U.S. dollars .
This statistic shows the worldwide templateYLabel[0] for the templateTitleSubject[0] templateTitle[1] templateTitle[2] and templateTitle[3] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the global templateTitle[2] had a templateYLabel[0] of templateYValue[idxmax(X)] templateScale templateYLabel[2] templateYLabel[3] , up from templateYValue[1] templateScale the previous templateXLabel[0] .
This statistic shows the templateTitle[0] of the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in templateTitleSubject[0] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , the templateTitle[0] of the templateTitle[1] in templateTitleSubject[0] amounted to templateValue[2][0] templateScale templateYLabel[3] .
This statistic shows the templateYLabel[0] of templateYLabel[1] of the templateTitle[0] templateTitle[1] in templateTitleDate[0] , templateTitle[4] templateXLabel[0] . According to the source , templateXValue[0] had over templateYValue[max] templateScale of the largest templateTitleSubject[0] , followed templateTitle[5] templateXValue[1] with templateYValue[1] templateScale .
The statistic shows the templateTitle[0] templateTitle[1] of the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[6] , the templateTitle[0] templateTitle[1] of the templateTitleSubject[0] amounted to approximately templateYValue[6] templateScale templateYLabel[0] .
The statistic shows the distribution of templateTitle[1] in the templateTitleSubject[0] in templateTitleDate[min] and templateTitleDate[max] , templateTitle[7] templateTitle[8] . According to the survey , templateValue[1][1] templateScale of the people in the country were living in the world .
The statistic shows the templateTitle[0] templateTitle[1] templateYLabel[0] in the templateTitle[3] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , about templateYValue[idxmax(X)] templateScale templateYLabel[2] of templateTitle[0] templateTitle[1] were produced . templateTitle[0] templateTitle[1] is a templateTitle[0] , low-calorie dessert , which is often served in a large variety of flavors .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[2] templateTitle[3] templateTitle[4] worldwide in templateTitleDate[0] . In that year , the templateTitle[2] templateTitle[3] templateTitle[4] was estimated to amount to approximately templateYValue[max] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] of templateYLabel[1] of the templateTitleSubject[0] worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of templateTitleSubject[0] employees amounted to approximately templateYValue[idxmax(X)] templateScale templateYLabel[3] templateYLabel[4] , down from templateYValue[1] templateScale templateYLabel[3] templateYLabel[4] in the previous templateXLabel[0] .
The statistic shows the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to about templateYValue[6] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateYLabel[3] templateTitle[2] templateTitle[3] templateTitleSubject[0] worldwide from templateXValue[min] to templateXValue[max] . The company reported templateYLabel[0] templateYLabel[1] of approximately templateYValue[0] templateScale templateYLabel[3] templateYLabel[4] in templateXValue[max] .
This statistic presents the templateTitle[1] templateTitle[2] templateTitle[4] templateYLabel[0] of templateTitleSubject[0] profiles from to 2017 . In the last measured templateXLabel[0] , templateTitleSubject[0] templateTitle[2] profiles templatePositiveTrend an average of templateYValue[max] templateScale more followers than in the previous templateXLabel[0] .
As of 2019 , templateXValue[0] had the templateTitle[0] templateTitle[1] templateTitle[2] in the templateTitle[3] with the highest templateYLabel[0] of templateYLabel[1] with templateYValue[max] templateScale templateYLabel[3] . templateXValue[1] was followed with templateYValue[1] templateScale of templateYLabel[1] .
The statistic shows the templateTitle[0] templateTitle[1] at templateTitle[2] of templateLabel[2][0] in the templateTitleSubject[0] as of templateTitleDate[0] , templateTitle[4] templateTitle[5] . During the survey , it was found that templateValue[2][0] templateScale of templateLabel[1][0] spending on templateTitle[4] templateValue[0][0] .
This statistic shows the global templateTitleSubject[0] templateTitle[1] templateTitle[2] templateYLabel[1] of the templateTitle[4] templateTitle[5] templateTitle[6] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateYLabel[0] is estimated to be templateYValue[min] templateScale .
This statistic represents the templateTitle[0] of templateTitle[1] templateTitle[2] templateTitle[3] in templateTitleSubject[0] in templateTitleDate[0] . templateXValue[0] had the highest templateTitle[0] of templateTitle[1] templateTitle[2] templateTitle[3] with templateYValue[max] certified templateTitle[1] templateTitle[2] water sources .
This statistic displays the templateTitle[5] templateTitle[4] of the templateTitle[3] of templateTitle[1] templateTitle[0] templateTitle[2] in the templateTitleSubject[0] ( templateTitleSubject[1] ) from 2013 to 2019 . In 2019 , templateTitle[1] templateTitle[2] templatePositiveTrend by templateYValue[0] templateScale .
templateTitle[3] templateTitle[4] at templateTitle[5] templateTitle[6] had an average waiting time of 10 minutes . templateYValue[max] templateScale of templateYLabel[1] from a templateTitleDate[0] survey reported queuing approximately templateYValue[min] - 5 minutes . Only templateYValue[min] templateScale of templateYLabel[1] stated that they had to templateTitle[1] more than 30 minutes before being able to continue to their gate .
This statistic shows the 20 templateTitle[0] of templateTitleSubject[0] templateTitle[3] templateTitleSubject[0] in templateTitleDate[0] . In that year , the templateXValue[0] was ranked first , with a templateYLabel[0] templateYLabel[1] of templateYValue[max] templateScale templateYLabel[3] .
The statistic gives information on the templateTitle[0] templateTitle[1] templateTitle[2] in the templateTitle[4] as of 2019 . According to the survey , it was found that templateYValue[max] templateScale of the people who were living in the templateTitle[4] .
The statistic depicts the templateYLabel[0] of the templateTitleSubject[0] , a franchise of the National Football League , from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of the templateTitleSubject[0] was templateYValue[max] templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateTitle[0] of templateTitle[1] directly spent a templateTitle[0] in the United Kingdom ( templateTitleSubject[0] ) from templateValue[0][last] to templateValue[0][0] , templateTitle[5] templateTitle[6] . It was found that templateValue[1][0] templateScale of the population of templateTitleSubject[0] templateTitle[3] in templateValue[0][0] .
This statistic shows the templateTitle[0] templateTitle[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[6] , the templateTitle[0] templateTitle[1] of templateTitleSubject[0] was estimated at approximately templateYValue[6] templateScale templateYLabel[0] .
This statistic shows the templateTitle[0] of the templateTitle[1] templateTitle[2] templateTitle[3] ( templateTitle[4] ) templateTitle[5] templateTitle[6] templateTitle[7] in templateTitleSubject[0] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , templateLabel[1][0] contributed around templateValue[1][0] templateScale to the templateTitle[4] of templateTitleSubject[0] , templateValue[2][0] templateScale came from the templateLabel[2][0] and templateValue[3][0] templateScale from the service sector .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] of templateLabel[2][0] in the templateTitleSubject[0] ( templateTitleSubject[1] ) in templateTitleDate[0] . During the survey period , it was found that templateValue[2][0] templateScale of templateLabel[2][0] had a templateValue[0][0] of templateValue[2][1] templateScale of the templateTitle[7] .
This statistic shows the templateScale of British templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] at home to templateXValue[max] . In templateXValue[max] , templateYValue[idxmax(X)] templateScale of the templateYLabel[1] reported accessing the templateTitle[0] , up from templateYValue[min] templateScale in templateXValue[idxmin(Y)] .
This statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] on templateTitle[3] and templateTitle[4] templateTitle[5] in the templateTitle[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the country 's templateYLabel[0] templateYLabel[2] on templateTitle[3] and templateTitle[4] amounted to templateYValue[idxmax(X)] templateYLabel[3] .
This statistic gives information on the templateTitle[0] templateTitle[1] templateTitle[2] templateXValue[last] as of the third quarter of templateTitleDate[0] . During the survey period , it was found that templateYValue[max] templateScale of templateYLabel[1] stated that they had made templateXValue[0] a templateXValue[last] .
The statistics depicts the templateYLabel[0] of registered templateTitle[0] templateTitle[1] templateYLabel[1] in templateTitleSubject[0] from templateXValue[last] to templateXValue[0] . In the templateXValue[0] season , there were a total of templateYValue[0] registered templateTitle[0] templateTitle[1] templateYLabel[1] in templateTitleSubject[0] according to the International templateTitle[0] templateTitle[1] Federation .
This statistic shows the proportion of templateTitle[0] templateTitle[1] in the United Kingdom ( templateTitleSubject[0] ) in templateTitleDate[min] and templateTitleDate[max] , templateTitle[3] templateLabel[0][0] . During the survey period , the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] at templateValue[1][0] templateScale U.S. dollars in templateValue[0][0] .
This statistic shows the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the templateTitle[6] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , the templateTitle[2] of the templateTitleSubject[0] templateTitle[1] were templateLabel[1][0] templateLabel[1][1] templateLabel[1][2] and templateValue[2][0] templateScale in templateLabel[2][0] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . The templateYLabel[0] templateYLabel[1] is the templateYLabel[1] that divides a templateTitle[2] into two numerically equal groups ; that is , half the people are younger than this templateYLabel[1] and half are older . It is a single index that summarizes the templateYLabel[1] distribution of a templateTitle[2] .
This statistic shows the templateTitle[2] templateTitleSubject[0] templateTitle[1] with the highest templateTitle[4] templateTitle[5] templateTitle[6] in templateTitleDate[min] and templateTitleDate[max] . In templateTitleDate[max] , templateValue[0][0] 's templateTitle[1] templateTitle[2] in templateTitleDate[max] amounted to templateValue[1][max] templateScale metric tons .
The statistic shows the degree of templateTitle[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , about templateYValue[idxmax(X)] templateScale of the total templateYLabel[2] in templateTitleSubject[0] lived in cities .
The graph shows the templateScale templateYLabel[2] templateYLabel[3] in the templateTitle[1] in templateTitleDate[0] , templateTitle[5] templateXLabel[0] . In templateTitleDate[0] , the had a total of templateYValue[1] templateScale templateYLabel[2] templateYLabel[3] in that year .
This statistic shows the templateYLabel[0] of templateYLabel[2] templateYLabel[3] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of templateTitleSubject[0] employees amounted to templateYValue[idxmax(X)] templateYLabel[3] .
The statistic shows the templateYLabel[1] in real templateYLabel[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , templateTitleSubject[0] 's real templateTitle[0] templateTitle[1] templateTitle[2] templatePositiveTrend by around templateYValue[6] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic presents the templateScale of online consumers in the templateTitle[0] who are templateTitleSubject[0] templateTitle[2] members . During the most recent survey period in 2016 , it was found that templateYValue[max] templateScale of responding Millennials had an templateTitleSubject[0] templateTitle[2] templateTitle[3] .
This statistic shows the templateYLabel[0] of templateYLabel[2] templateYLabel[3] of the templateTitle[0] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . According to the report , the templateTitle[0] templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] was templateYValue[last] templateYLabel[2] templateYLabel[3] .
This statistic shows the monthly amount of cars templateYLabel[1] by templateTitleSubject[0] templateTitle[1] 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] templateTitle[1] templateYLabel[0] had been templateYLabel[1] , a templateNegativeTrend of roughly ten templateScale in comparison to templateYValue[17] templateYLabel[0] as of 2018 .
This statistic shows the templateYLabel[0] of templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[idxmax(X)] templateYLabel[1] reported in templateTitleSubject[0] .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in the templateTitle[5] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , the average templateTitle[0] templateTitle[1] templateTitle[2] in the templateTitleSubject[0] was templateValue[1][0] templateScale U.S. dollars .
This statistic shows the templateTitle[0] of templateTitle[1] and templateTitle[2] templateTitle[3] the templateTitleSubject[0] from templateTitleDate[min] to templateTitleDate[max] , templateTitle[7] templateTitle[8] . In templateTitleDate[max] , the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] of templateTitle[4] in templateTitleSubject[0] in the country was templateValue[2][max] U.S. dollars .
This statistic shows the top ten templateTitleSubject[0] templateTitle[1] templateTitle[3] in templateTitleDate[0] , based on templateYLabel[0] templateYLabel[1] . In templateTitleDate[0] , the templateXValue[0] was ranked first , with a total of templateYValue[max] templateYLabel[2] templateYLabel[3] .
This statistic gives information on the projected of templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] in templateTitleDate[0] , sorted templateTitle[5] templateTitle[6] . In that year , templateTitleSubject[0] had a total of templateYValue[1] templateScale metric tons in that year .
This statistic shows the templateYLabel[0] of templateYLabel[2] templateYLabel[3] of the templateYLabel[1] templateTitle[0] from templateXValue[min] to templateXValue[max] . According to the source , there were over templateYValue[2] templateScale templateYLabel[2] templateYLabel[3] at templateTitle[1] templateTitle[2] templateYLabel[3] templateTitle[4] .
The statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[2] templateTitleSubject[0] templateTitle[4] templateTitle[5] in templateTitleDate[0] . According to the source , templateXValue[0] was the templateTitle[0] templateXLabel[0] with a templateYLabel[0] templateYLabel[1] of templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] .
The statistic presents the distribution of templateTitle[0] templateTitle[1] templateTitle[2] in templateTitleDate[0] . As of that templateXLabel[0] , templateXValue[0] had more than templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] of templateTitle[0] templateTitle[1] templateTitle[2] in the templateTitleSubject[0] , followed templateTitle[4] templateXValue[1] with templateYValue[1] templateScale templateYLabel[2] templateYLabel[3] .
The statistic depicts the templateYLabel[0] of the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of the Major League Baseball franchise amounted to templateYValue[idxmax(X)] templateScale templateYLabel[2] dollars.The templateTitleSubject[0] are owned by John Stanton and Chris Larson , who bought the franchise for 1.2 templateScale templateYLabel[2] templateYLabel[3] and 100 templateScale templateYLabel[2] templateYLabel[3] in templateXValue[2] and 1992 respectively .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateYLabel[3] templateYLabel[4] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to approximately templateYValue[idxmax(X)] templateYLabel[3] templateYLabel[4] .
This statistic shows the templateTitle[0] of templateTitle[3] the templateValue[0][0] United Kingdom ( templateTitleSubject[0] ) templateTitle[4] templateTitleDate[min] and templateTitleDate[max] . templateValue[0][0] to the source , templateValue[1][0] templateScale of templateTitle[3] were employed in templateValue[0][0] .
This statistic displays the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] in templateTitleDate[0] . The templateYLabel[0] of templateYLabel[1] templateYLabel[2] amounted to templateYValue[0] templateYLabel[3] templateYLabel[4] in templateTitleDate[0] .
This statistic shows the average templateYLabel[0] of templateTitle[1] templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[2] , there were templateYValue[idxmax(X)] templateTitle[1] templateTitle[2] of the templateTitleSubject[0] restaurants in the templateTitleSubject[1] , up from templateYValue[1] templateScale templateYLabel[2] templateYLabel[3] in the previous templateXLabel[0] .
This statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] on templateTitle[3] templateTitle[4] per consumer unit in the templateTitle[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the country 's templateYLabel[0] templateYLabel[1] templateYLabel[2] on templateTitle[3] templateTitle[4] amounted to templateYValue[idxmax(X)] templateYLabel[3] templateYLabel[4] per consumer unit .
This statistic shows the estimated templateYLabel[0] templateYLabel[1] of the templateTitle[2] templateTitle[3] templateTitleSubject[0] in templateTitleDate[0] , templateTitle[7] templateXLabel[0] . In that year , the templateXValue[0] had the highest templateYLabel[0] templateYLabel[1] of templateYValue[max] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateTitle[0] of templateTitle[1] in the United Kingdom ( templateTitleSubject[0] ) from templateValue[0][last] to templateValue[0][0] , templateTitle[7] templateTitle[8] . The templateTitle[0] of templateTitle[1] in templateTitleSubject[0] stood at 20 to templateValue[3][0] templateScale in templateValue[0][0] .
This statistic shows the share of internet users in the templateTitleSubject[1] who were using Google Plus as of 2018 , sorted templateTitle[6] templateTitle[7] . We Are Flint found that templateYValue[max] templateScale of internet users aged from 25 to 34 years old used the social networking site .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at approximately templateYValue[idxmax(X)] templateScale .
The statistic presents the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[3] , the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] templateTitle[4] was templateYValue[3] templateScale templateYLabel[3] templateYLabel[4] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] of the templateTitle[3] templateTitle[4] templateXValue[0] from templateXValue[last] to templateXValue[0] . In templateXValue[0] , the templateTitle[0] templateTitle[1] templateXValue[1] with a templateYLabel[0] of templateYValue[1] templateYLabel[2] templateYLabel[3] .
The statistic depicts the templateYLabel[0] of the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of the Major League Baseball franchise amounted to templateYValue[idxmax(X)] templateScale templateYLabel[2] dollars.The templateTitleSubject[0] are owned by John Stanton and Chris Larson , who bought the franchise for 1.2 templateScale templateYLabel[2] templateYLabel[3] and 100 templateScale templateYLabel[2] templateYLabel[3] in templateXValue[2] and 1992 respectively .
This statistic gives information on the templateTitle[2] of templateTitleSubject[0] app worldwide as of 2019 , sorted templateTitle[5] templateTitle[6] . According to the source , it was found that templateYValue[1] templateScale of people hold a templateXLabel[0] .
This statistic shows the templateScale of templateTitle[1] templateYLabel[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , it is forecasted that there were a total of templateYValue[idxmax(X)] templateScale templateYLabel[1] , up from templateYValue[min] templateScale in the previous templateXLabel[0] .
This statistic shows the results of a survey among templateTitleSubject[0] adult Americans on the templateTitle[0] . During the survey , it was found that templateYValue[max] templateScale of the templateYLabel[1] stated that they had templateXValue[8] templateXValue[2] hacking .
As of 2019 , templateValue[1][0] templateScale of employees had the templateTitle[0] employees in the templateTitleSubject[0] . How are templateValue[2][0] templateScale of people who saying that , making it templateXValue[last] templateTitle[0] templateValue[0][0] . The templateValue[0][0] has also the ranking of people , with any templateScale of people .
This statistic shows the templateXValue[0] templateYLabel[1] of the templateTitle[0] templateTitle[1] templateYLabel[3] templateTitle[4] in templateTitleDate[0] , templateTitle[7] templateXLabel[0] . In templateTitleDate[0] , the templateXValue[0] of the largest templateYLabel[0] templateYLabel[1] , with a total of templateYValue[max] templateScale templateYLabel[3] .
This statistic depicts the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] worldwide in templateTitleDate[0] , templateTitle[5] leading templateXLabel[0] , in thousand templateYLabel[3] templateYLabel[4] . The templateTitle[2] templateTitle[3] templateTitle[1] of the templateXValue[1] amounted to approximately templateYValue[1] templateScale templateYLabel[3] templateYLabel[4] in that year .
The statistic presents the templateYLabel[0] of the templateTitleSubject[0] of templateTitle[4] in templateTitleDate[0] . templateXValue[0] had the highest templateYLabel[0] of about templateYValue[max] templateScale templateYLabel[3] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[7] of the templateTitle[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[1] of the employees was templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
The statistic illustrates the number of templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in templateTitleDate[min] and templateTitleDate[max] . In templateTitleDate[max] , templateValue[0][0] had a templateTitle[0] templateTitle[1] templateTitle[2] of templateValue[3][1] templateScale U.S. dollars .
This statistic gives information on the templateTitle[0] templateTitle[1] templateTitle[2] templateXValue[3] templateTitle[4] on templateTitleSubject[0] templateTitle[7] as of 2019 , sorted templateTitle[4] templateYLabel[0] . During the survey , it was found that goods templateXValue[0] had the largest templateXValue[0] with over templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] templateTitle[4] .
This graph depicts the templateYLabel[1] of the templateTitleSubject[0] franchise of the National Basketball Association from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] had an estimated templateYLabel[1] of templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in the United Kingdom ( templateTitleSubject[0] ) as of templateTitleDate[0] . At that time , templateXValue[0] was the largest templateXValue[0] with a templateYLabel[0] templateYLabel[1] of templateYValue[max] templateYLabel[2] templateYLabel[3] .
This statistic shows the number of templateTitle[0] templateTitle[1] templateTitle[2] in the templateTitleSubject[0] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , the templateTitle[0] templateTitle[1] of the templateTitleSubject[0] templateTitle[3] templateTitle[4] in the templateTitle[5] amounted to templateValue[2][0] templateScale .
This statistic shows the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to about templateYValue[6] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic shows the templateXValue[0] distribution of the templateTitle[0] of templateXValue[last] templateTitleSubject[0] from templateXValue[0] to templateXValue[0] . According to the source , the templateTitle[0] of templateTitle[1] templateXValue[last] . In templateXValue[0] , the templateTitle[0] of templateXValue[last] and templateTitleSubject[0] was templateYValue[min] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateYLabel[3] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the average templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] was templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
As of 2019 , templateXValue[0] templateXValue[0] was the templateTitle[0] templateTitle[1] templateTitle[2] templateXLabel[0] in the templateTitleSubject[0] , with templateYValue[max] templateScale of templateYLabel[1] saying they followed by templateXValue[1] with templateYValue[1] templateScale of templateYLabel[1] having made it . templateXValue[4] was followed by templateXValue[2] with templateYValue[2] templateScale of templateYLabel[1] having templateXValue[0] .
According to recent data , in templateTitleDate[0] it is forecast that templateValue[2][max] templateScale of total templateTitleSubject[0] templateValue[0][2] capacity will go towards smartphones . templateTitleSubject[0] flash templateValue[0][2] was originally developed templateTitle[7] Toshiba in the early 1980s . It allows greater storage density and lower cost per templateTitle[3] than the alternative NOR flash , but is more useful as a secondary storage device than as primary storage , as it does not support a random-access external address bus .
This statistic shows the estimated templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] the templateTitle[4] of templateTitleSubject[0] templateTitle[6] in templateTitleDate[0] . According to the source , templateValue[1][0] templateScale of respondents said that they would be generated templateValue[2][0] templateScale in the templateLabel[2][0] templateLabel[2][1] templateTitle[4] .
This statistic shows the degree of templateTitle[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . templateTitle[0] means the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateYLabel[3] templateYLabel[2] of a country . In templateXValue[max] , templateYValue[idxmax(X)] templateScale of templateTitleSubject[0] 's templateYLabel[3] templateYLabel[2] lived in templateYLabel[1] areas and cities .
This statistic shows the templateTitleSubject[0] all-time templateYLabel[1] templateTitle[4] templateTitle[5] as of October 16 , templateTitleDate[0] . templateXValue[0] has hit the most templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] franchise history with templateYValue[max] templateYLabel[1] templateYLabel[2] .
This statistic gives information on the templateTitle[0] templateTitle[1] of templateTitle[2] using the templateTitle[4] as of 2019 . During the survey period , it was found that templateYValue[max] templateScale of the templateYLabel[1] used templateXValue[0] on the social networking site .
This statistic shows the templateYLabel[0] templateYLabel[1] of the carmaker templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] of templateTitleSubject[0] stood at templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateTitleSubject[0] of templateTitle[1] templateTitle[2] and templateTitle[4] from templateTitleDate[min] to templateTitleDate[max] , by templateLabel[0][0] . In templateTitleDate[max] , templateValue[0][0] had the highest templateTitle[4] templateTitle[5] templateTitle[6] in templateValue[0][0] at templateValue[1][0] templateScale .
This statistic shows the templateTitle[0] of templateTitleSubject[0] employees templateTitle[4] from templateValue[0][last] to templateValue[0][0] , templateTitle[7] templateTitle[8] . The average templateTitle[0] of templateTitleSubject[0] templateTitle[2] templateTitle[3] templateTitle[4] are expected to grow by templateValue[3][0] templateScale templateYLabel[3] in the previous templateLabel[0][0] .
This statistic shows the development of the templateYLabel[0] templateYLabel[1] of the templateYLabel[2] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] was at templateYValue[idxmax(X)] templateScale templateYLabel[3] templateYLabel[4] .
This statistic depicts the templateTitle[0] templateTitle[1] of templateTitleSubject[0] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , about templateValue[1][0] templateScale of templateTitleSubject[0] 's population were between 0 and 14 years of templateTitle[0] , around templateValue[2][0] templateScale between the templateLabel[1][0] of 15 and templateValue[2][8] , and about templateValue[3][0] templateScale were templateValue[2][4] years or older .
The statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[3] templateTitleSubject[0] from the templateXValue[last] season to the templateXValue[0] season . In the templateXValue[0] season , the templateTitle[0] templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] templateYLabel[4] was templateYValue[max] templateYLabel[2] templateYLabel[3] .
The statistic presents data on the annual templateYLabel[0] of Joanne templateTitleSubject[0] ( templateTitle[0] templateTitleSubject[0] ) from templateXValue[6] templateXValue[last] to templateXValue[0] . The author earned templateYValue[0] templateScale templateYLabel[2] templateYLabel[3] in the period templateXValue[0] to templateXValue[0] , down from templateYValue[max] templateScale a year earlier .
In templateXValue[max] , the average templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitleSubject[0] amounted to templateYValue[0] templateScale templateYLabel[4] templateYLabel[5] . According to the source , the templateYLabel[0] of templateYLabel[1] templateYLabel[2] is defined as the total market value of all goods and services . It is considered to be a very important indicator of the economic strength of a country .
This graph shows the templateXValue[0] templateYLabel[1] templateYLabel[2] to the Gross Domestic Product ( templateTitle[1] ) of templateTitleSubject[0] in templateTitleDate[0] , templateTitle[3] templateXLabel[0] . In templateTitleDate[0] , the templateXValue[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] in the United Kingdom ( templateTitleSubject[0] ) as of templateTitleDate[0] . According to the source , templateXValue[0] was the templateTitle[0] that year , with a total of templateYValue[max] templateYLabel[0] templateYLabel[1] templateYLabel[3] .
This statistic shows the templateYLabel[0] templateTitle[1] templateTitle[2] templateTitle[3] templateYLabel[1] of the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] at templateTitle[3] games of the templateTitleSubject[0] was templateYValue[0] templateYValue[idxmax(X)]
The statistic shows templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) denotes the aggregate value of all services and goods produced within a country in any given templateXLabel[0] . templateTitle[3] is an important indicator of a country 's economic power .
This statistic shows the templateTitle[0] of the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateValue[0][0] in templateTitleDate[0] , templateTitle[7] templateTitle[8] . According to the survey results , templateValue[1][0] templateScale of the templateLabel[1][0] templateLabel[1][1] templateLabel[1][2] that year .
This statistic provides a comparison of the average amount of time templateTitle[4] on household templateTitle[5] templateTitle[8] templateTitle[9] in templateTitleSubject[0] member templateTitle[7] as well as templateValue[0][19] , templateValue[0][27] and templateValue[0][28] . As of templateTitleDate[0] , Irish men templateTitle[4] templateValue[1][5] templateScale of the templateValue[0][0] had the highest templateTitle[4] with templateValue[2][0] templateScale of the templateValue[0][0] .
This statistic presents the results of a survey among templateTitleSubject[0] adult templateTitle[1] . The survey was fielded templateXValue[3] by Harris Interactive in 2014 , templateYValue[max] templateScale of templateYLabel[1] stated that they used templateTitle[0] on the social network .
This statistic shows the templateTitle[0] templateTitle[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the templateTitle[0] templateTitle[1] of templateTitleSubject[0] amounted to about templateYValue[6] templateScale templateYLabel[0] . See the figures for the templateTitle[1] of Italy for comparison .
The statistic illustrates the templateYLabel[0] of templateYLabel[1] of the templateTitleSubject[0] templateTitle[4] templateTitle[5] templateXValue[min] to templateXValue[max] . In templateXValue[2] , the company employed some templateYValue[2] templateScale people employed in the world . templateTitleSubject[0] is a United States-based multinational oil and gas corporation , headquartered in Chicago , Illinois .
In templateTitleDate[0] , the highest templateYLabel[0] templateYLabel[1] in the templateYLabel[2] in the country was templateXValue[0] . In the templateTitle[5] , the highest templateYLabel[0] templateYLabel[1] in the country was registered in templateTitleDate[0] , with templateYValue[max] templateScale . The highest templateYLabel[0] templateYLabel[1] in the templateTitle[5] has constantly constantly templateNegativeTrend .
The statistic shows templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) denotes the aggregate value of all services and goods produced within a country in any given templateXLabel[0] . templateTitle[3] is an important indicator of a country 's economic power .
The statistic shows the templateYLabel[0] of the templateTitle[1] templateTitle[2] templateTitle[4] in the templateTitle[0] from templateTitleDate[min] to 2019 , with projections up until templateTitleDate[max] . The templateTitle[0] templateTitle[1] templateTitle[2] of the templateTitle[4] stood at templateYValue[7] templateScale templateYLabel[3] templateYLabel[4] that year .
This statistic presents the templateScale of online consumers in the templateTitle[0] who are templateTitleSubject[0] templateTitle[2] templateXValue[last] as of 2017 . During the survey period , it was found that templateYValue[1] templateScale of templateYLabel[1] stated that they used templateXValue[1] templateXValue[0] on the social networking site .
This statistic illustrates the templateTitleSubject[0] templateTitle[8] templateLabel[0][0] for selected as of the first half of templateTitleDate[0] , sorted templateTitle[7] templateTitle[8] . During the survey period , it was found that templateValue[1][0] templateScale of the templateValue[0][0] stated that they used Gmail as online search of the templateValue[0][0] while templateValue[2][0] templateScale of respondents stated that they shopped templateValue[0][1] would approve of the templateValue[0][2] news news news news news news news news news news .
The statistic shows the templateYLabel[0] of templateTitle[0] templateTitle[1] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . It is estimated that the templateYLabel[1] of the templateTitle[1] templateTitle[2] into two numerically equal groups ; that is , there were templateYValue[idxmax(X)] templateYLabel[1] 1,000 templateYLabel[3] templateYLabel[4] .
This statistic shows the results of a survey among the templateTitle[0] of people in the templateTitleSubject[0] ( templateTitleSubject[1] ) in templateTitleDate[0] . It shows that the average templateYLabel[0] of people templateYLabel[2] templateYLabel[3] that year .
The statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
The statistic shows templateTitleSubject[0] templateTitle[1] templateYLabel[0] of the templateYLabel[1] templateTitle[4] templateTitle[5] templateTitle[6] ( templateYLabel[2] ) adjusted for Purchasing Power Parity ( PPP ) from templateXValue[min] to templateXValue[max] . In templateXValue[6] , templateTitleSubject[0] templateTitle[1] templateYLabel[0] of the templateYLabel[1] templateYLabel[2] ( in relation to PPP dollars ) amounted to about templateYValue[6] templateScale .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[3] templateTitleSubject[0] worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the company had approximately templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] of templateYLabel[3] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[0] templateYLabel[3] templateTitle[4] from templateTitleDate[min] to templateTitleDate[max] . In templateTitleDate[max] , the templateYLabel[0] templateYLabel[1] of the templateTitle[4] was templateYValue[last] templateYLabel[2] templateYLabel[3] .
This statistic shows the results of a survey among templateTitleSubject[0] adult templateTitle[1] . The survey was fielded templateXValue[3] by Harris Interactive in 2014 , asking the templateYLabel[1] where they usually templateTitle[3] their shampoo and/or templateTitle[6] . During the survey , templateYValue[max] templateScale of templateYLabel[1] stated that they use templateXValue[2] at templateXValue[3] templateYValue[3] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[0] templateTitle[1] templateTitleSubject[0] UK from templateXValue[last] to templateXValue[0] . In templateXValue[0] , the highest templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] stood at templateYValue[max] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . According to the source , the templateYLabel[1] of the total amount to around templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] in templateXValue[idxmax(Y)] .
The statistic shows the templateYLabel[0] of templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in templateTitleSubject[0] from templateTitleDate[min] to templateTitleDate[max] . In 2018 , the templateTitle[0] templateYLabel[0] of templateTitleSubject[0] templateTitle[4] amounted to templateYValue[max] thousand templateYLabel[2] templateYLabel[3] .
The statistic shows the total templateYLabel[0] of the templateTitle[1] templateTitleSubject[0] worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[min] , the templateTitleSubject[0] templateTitle[1] templateYLabel[0] amounted to templateYValue[idxmin(X)] templateScale templateYLabel[2] templateYLabel[3] .
The statistic shows the templateTitleSubject[0] templateTitle[1] templateYLabel[0] in the templateTitle[3] in templateTitleDate[0] . The templateYLabel[0] templateYLabel[1] of templateYLabel[3] templateYLabel[4] amounted to approximately templateYValue[1] templateScale in templateXValue[1] .
According to a templateTitleDate[0] survey , the templateTitle[0] templateTitle[1] templateTitle[2] in the templateTitle[4] stood at templateYValue[7] templateScale of goods that year . According to the source , a ranking of According to the templateTitle[0] templateTitle[1] templateTitle[2] that ranking valued at just under two templateScale of all templateXValue[last] . What is the templateTitle[0] templateTitle[1] templateTitle[2] ? templateYLabel[0] , According to be employment .
This statistic shows the templateTitle[0] templateTitle[1] templateYLabel[0] of the templateTitle[3] in templateTitleSubject[0] in templateTitleDate[0] , templateTitle[7] templateXLabel[1] . templateXValue[0] ranked first with a templateYLabel[0] templateYLabel[1] of templateYValue[max] templateYLabel[2] templateYLabel[3] .
The statistic shows the templateYLabel[1] templateYLabel[2] of the real templateTitle[0] templateTitle[1] templateTitle[2] ( templateYLabel[0] ) in the templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . templateYLabel[0] refers to the total market value of all goods and services that are produced within a country per templateXLabel[0] . It is an important indicator of the economic strength of a country .
The statistic shows the templateYLabel[0] of templateTitle[1] templateTitle[2] templateYLabel[1] templateTitle[4] from templateXValue[min] to templateXValue[max] . According to the source , it is expected that the templateYLabel[2] will reach some templateYValue[idxmax(X)] templateScale templateYLabel[3] templateYLabel[4] in templateXValue[max] .
This statistic depicts the templateTitleSubject[0] 20 templateTitle[1] templateTitle[2] in templateTitleDate[0] , templateTitle[4] on templateXValue[15] templateYLabel[1] . In that year , Amazon was the world 's templateTitleSubject[0] retailer with about templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] worth of templateYLabel[1] . Amazon is headquartered in the country , one of the templateTitleSubject[0] e-commerce markets templateTitle[2] .
This statistic shows the templateYLabel[0] of the templateTitle[1] templateTitle[2] templateXValue[4] templateTitle[4] in templateTitleDate[0] , templateTitle[7] templateTitle[8] . The ranking is the templateYLabel[1] of templateXValue[0] , with a templateYLabel[0] of templateYValue[max] templateScale templateYLabel[3] .
This statistic shows the templateTitle[0] of the templateTitle[1] templateTitle[2] templateTitle[3] ( templateTitle[4] ) templateTitle[5] templateTitle[6] templateTitle[7] in templateTitleSubject[0] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , templateLabel[1][0] contributed around templateValue[1][0] templateScale to the templateTitle[4] of templateTitleSubject[0] , templateValue[2][0] templateScale came from the templateLabel[2][0] and templateValue[3][0] templateScale from the service sector .
This statistic shows the global templateYLabel[0] templateYLabel[1] of the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the global templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] templateTitle[3] templateTitle[4] is estimated to be templateYValue[idxmax(X)] templateScale .
The statistic illustrates the templateTitle[1] templateTitle[2] templateTitle[3] in the templateTitle[0] in templateTitleDate[min] and templateTitleDate[max] , templateTitle[6] templateTitle[7] . In templateTitleDate[max] , templateValue[0][0] 's templateTitle[0] of templateValue[0][1] amounted to templateValue[1][max] templateScale .
This statistic shows the templateTitle[0] templateTitle[1] the templateTitle[2] templateTitle[3] templateTitle[4] of templateTitleSubject[0] in templateTitleDate[0] , templateTitle[7] templateTitle[8] . According to the survey , templateXValue[0] was the templateTitle[0] templateTitle[1] templateXValue[0] with a score of templateYValue[max] templateScale templateYLabel[3] .
The statistic shows the templateYLabel[0] of the total templateYLabel[2] in the templateTitleSubject[0] from templateXValue[min] to templateXValue[7] , with projections up until templateXValue[max] . According to the total market value of all goods and services produced in a country in a templateXLabel[0] . It is considered to be a very important indicator of the economic strength of a country and a positive change is an indicator of economic growth .
This statistic displays the templateTitle[0] templateYLabel[0] of templateYLabel[2] templateYLabel[3] in the templateTitle[1] from templateTitleDate[min] to templateTitleDate[max] . In templateTitleDate[max] , the templateTitle[0] templateTitle[1] was templateYValue[min] templateScale of templateYLabel[2] templateYLabel[3] . templateTitle[0] of the templateTitleSubject[0] As shown .
This statistic shows the templateYLabel[0] of templateYLabel[2] templateYLabel[3] of the templateTitle[0] of templateYLabel[3] templateTitle[4] templateXValue[min] to templateXValue[max] . According to the report , the templateTitle[0] of templateTitleSubject[0] stood at templateYValue[4] templateYLabel[2] templateYLabel[3] in templateXValue[4] .
The statistic shows the templateTitle[0] templateTitle[1] templateYLabel[0] in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , approximately templateYValue[idxmax(X)] templateScale people were living in the templateTitle[2] in the templateTitleSubject[1] .
The statistic shows the distribution of templateTitleSubject[0] employees templateTitle[4] the first half of templateTitleDate[0] , templateTitle[7] templateTitle[8] . The average templateTitle[0] templateTitle[1] templateTitle[2] of the templateTitleSubject[0] people templateTitle[4] in templateTitleDate[0] was templateValue[2][0] U.S. dollars .
This graph shows the total templateYLabel[0] of templateTitleSubject[0] templateYLabel[1] in the templateTitleSubject[1] from templateXValue[last] to templateXValue[0] . In templateXValue[0] , there were a total of templateYValue[max] templateTitleSubject[0] templateYLabel[1] in the templateTitleSubject[1] . templateTitleSubject[0] is one of the most widespread templateTitle[1] in the world .
It is expected that by templateXValue[max] , the templateYLabel[0] of templateTitle[2] templateTitle[3] will reach around templateYValue[0] templateScale templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] templateYLabel[5] . It is expected that the templateYLabel[0] of templateTitle[4] templateTitle[3] will become more than 70 templateScale of the templateYLabel[0] templateYLabel[3] templateYLabel[4] templateYLabel[5] . The templateYLabel[0] templateYLabel[2] is expected to templatePositiveTrend in the following years .
This statistic shows the templateYLabel[0] of templateYLabel[1] of the templateTitle[1] templateTitle[2] templateTitleSubject[0] in templateTitleDate[0] , templateTitle[4] templateXLabel[0] . In templateXValue[3] , the company employed about templateYValue[2] templateScale of the total .
This statistic represents a ranking of the templateTitle[0] templateXLabel[1] templateTitle[2] in the templateTitle[3] templateTitle[4] in templateTitleDate[0] . During the survey , it was found that templateXValue[0] accounted for templateYValue[max] templateScale of templateYLabel[2] templateYLabel[3] of templateTitle[0] templateTitle[4] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateYLabel[3] worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[1] of templateTitleSubject[0] amounted to templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at approximately templateYValue[idxmax(X)] templateScale .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[0] templateTitle[5] from templateValue[0][last] to templateValue[0][0] , templateTitle[7] templateTitle[8] . In templateValue[0][0] , the estimated templateTitle[0] templateTitle[1] templateTitle[2] of all goods '' amounted to approximately templateValue[1][0] templateScale U.S. dollars in templateValue[0][0] .
This statistic shows the templateTitle[0] of the templateTitle[1] templateTitle[2] templateTitle[3] ( templateTitle[4] ) templateTitle[5] templateTitle[6] templateTitle[7] in templateTitleSubject[0] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , templateLabel[1][0] contributed around templateValue[1][0] templateScale to the templateTitle[4] of templateTitleSubject[0] , templateValue[2][0] templateScale came from the templateLabel[2][0] and templateValue[3][0] templateScale from the service sector .
The statistic shows the templateYLabel[0] of the total templateYLabel[2] in the templateTitleSubject[0] from templateXValue[min] to templateXValue[7] , with projections up until templateXValue[max] . According to the total market value of all goods and services produced in a country in a templateXLabel[0] . It is considered to be a very important indicator of the economic strength of a country and a positive change is an indicator of economic growth .
The statistic illustrates the templateTitle[0] of templateTitle[1] templateTitle[2] templateNegativeTrend in the templateTitle[4] from templateValue[0][last] to templateValue[0][0] . According to the source , templateValue[1][0] templateScale of all goods users in templateValue[0][0] .
The statistic shows the templateTitle[1] templateYLabel[0] generated by the templateYLabel[2] advertising giant templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] generated a total of templateYValue[idxmax(X)] templateScale templateYLabel[2] templateYLabel[3] .
The statistic shows the templateYLabel[2] templateYLabel[0] of the templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[2] , the templateYLabel[2] templateYLabel[0] of the templateTitleSubject[0] amounted to templateYValue[2] templateScale templateYLabel[2] templateYLabel[3] .
This graph depicts the templateYLabel[0] templateYLabel[1] templateYLabel[2] for templateTitleSubject[0] games in Major League Baseball from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] templateYLabel[2] was at templateYValue[idxmax(X)] templateYLabel[3] templateYLabel[4] .
templateTitleSubject[0] usage among ages 40 to 64 templateValue[0][0] old in the templateTitleSubject[1] templatePositiveTrend almost threefold in templateTitleDate[min] and templateTitleDate[max] . The templateValue[0][0] , templateValue[1][0] templateScale of individuals aged 65 years old when just under four years old in templateTitleDate[max] .
Between templateValue[0][last] and templateValue[0][0] , the average templateTitle[0] templateTitle[1] in the United Kingdom ( templateTitleSubject[0] ) templatePositiveTrend to templateValue[2][last] templateScale in templateValue[0][0] . The templateTitle[3] of those aged between the ages of people in the previous templateLabel[0][0] of 18 years old in both a templateTitle[3] of positive change in templateValue[0][0] compared to the previous templateLabel[0][0] .
The statistic shows the templateYLabel[0] of templateYLabel[1] of the templateTitleSubject[0] worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the data from the templateTitle[0] of the templateTitleSubject[0] stood at templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateScale of online consumers in the templateTitle[0] who are using templateTitle[5] as of 2019 . During the survey period , it was found that templateValue[2][max] templateScale of all templateValue[0][0] accessed the templateTitle[0] .
This statistic shows the templateYLabel[1] of the total templateYLabel[0] in the templateTitle[0] from templateXValue[min] to templateXValue[max] . According to the source , the templateTitle[0] templateTitle[1] templateTitle[2] of the templateTitleSubject[0] has templateNegativeTrend by roughly templateYValue[0] templateScale in templateXValue[max] .
In templateXValue[max] , the total annual templateYLabel[0] of templateTitle[0] tourists ( 'visitor exports ' _ ) in templateTitleSubject[0] templatePositiveTrend from templateYValue[min] templateScale templateYLabel[2] in templateXValue[idxmin(Y)] to templateYValue[max] templateScale templateYLabel[2] in templateXValue[idxmax(Y)] . This figure has templatePositiveTrend in the last five years .
As of templateTitleDate[0] , the statistic shows that ranking of any templateTitle[0] employees within the templateTitleSubject[0] . According to the survey results , it was that the templateTitle[0] of templateXValue[7] will be templateYValue[7] templateScale templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[1] of the real templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] ( templateYLabel[0] ) in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , templateYLabel[1] numbers for the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] is expected to grow by templateYValue[idxmin(X)] templateScale .
This statistic represents the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitle[0] in templateTitleDate[0] , templateTitle[3] templateXLabel[0] . In that year , there were over templateYValue[1] thousand templateYLabel[1] living in templateTitleSubject[0] .
The statistic presents the ranking of the templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[0] in the templateTitle[4] from the second templateXLabel[0] of templateTitleDate[min] to the third templateXLabel[0] of templateTitleDate[max] . During that templateXLabel[0] , the company 's templateYLabel[0] amounted to over templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] , up from templateYValue[1] templateScale templateYLabel[2] templateYLabel[3] in the preceding templateXLabel[0] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[2] in the templateTitle[0] from templateTitleDate[min] to templateTitleDate[max] . The average templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] templateTitle[1] amounted to templateYValue[0] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] of templateTitleSubject[0] the templateTitle[2] templateTitle[4] templateTitle[5] as of 2018 , templateTitle[7] templateYLabel[0] of templateXValue[0] . According to the source , there were templateYValue[max] templateScale templateTitle[1] templateTitle[2] templateYLabel[1] on the platform , followed templateTitle[6] templateXValue[1] with templateYValue[1] templateScale templateYLabel[1] .
The statistic shows the templateYLabel[0] of the development of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , approximately templateYValue[idxmax(X)] templateScale templateYLabel[2] of the templateTitle[1] were employed in templateTitleSubject[0] .
This statistic shows the templateTitle[1] templateYLabel[0] in templateTitleSubject[0] in templateTitleDate[0] , templateTitle[3] templateTitle[4] . In templateTitleDate[0] , about templateYValue[idxmax(X)] templateScale of the templateYLabel[1] lived below the templateTitle[1] line .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateYLabel[2] templateYLabel[3] of the templateTitle[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] was templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
This statistic gives information on the templateTitle[0] templateTitle[1] templateTitle[2] of the templateTitle[4] templateTitle[5] in templateTitleDate[0] . During the survey , it was found that templateYValue[1] templateScale of the templateYLabel[1] had purchased templateXValue[1] followers on the social network .
In templateXValue[max] , the templateYLabel[1] of the gross domestic product ( templateYLabel[0] ) of templateTitleSubject[0] stood at around templateYValue[idxmax(X)] templateScale . This is a slight templatePositiveTrend from the previous templateXLabel[0] , and in the country 's templateYLabel[0] of the templateYLabel[1] were on the rise .
This statistic shows the templateYLabel[0] of templateYLabel[1] in the templateTitleSubject[0] templateTitle[3] templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[idxmax(X)] people employed in the templateTitleSubject[0] . Employment in the templateTitle[4] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateYLabel[0] of templateTitleSubject[0] in templateTitleDate[0] . At that time , templateXValue[0] was the templateTitle[0] templateTitle[1] templateXLabel[0] templateXLabel[1] with a templateYLabel[0] templateYLabel[1] of templateYValue[max] templateYLabel[2] templateYLabel[3] .
This statistic shows the total templateTitle[0] of the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in templateTitleDate[0] , templateTitle[7] templateXLabel[0] . In that year , the templateTitle[0] templateTitle[1] of templateXValue[last] templateYLabel[1] of templateTitleSubject[0] amounted to approximately templateYValue[max] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateTitle[0] templateTitle[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the templateTitle[0] templateTitle[1] of templateTitleSubject[0] was around templateYValue[6] templateScale templateYLabel[0] .
This statistic shows the results of a survey among the adult templateValue[0][0] in the country on templateTitleDate[0] . The survey shows that templateValue[1][0] templateScale of the respondents with a templateLabel[1][0] templateLabel[1][1] templateLabel[1][2] templateLabel[1][2] .
This statistic provides information on the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in templateTitleDate[min] and templateTitleDate[max] . In templateTitleDate[max] , templateValue[0][0] was the world 's templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] with with templateValue[1][max] templateScale of respondents stated that year .
This statistic gives information on the templateTitle[0] templateTitle[1] templateTitle[2] of templateTitle[3] templateTitle[4] templateYLabel[0] . As of the measured period , templateXValue[0] was the templateTitle[0] templateTitle[1] templateTitle[2] the templateTitle[2] templateXValue[0] , accounting for over templateYValue[max] templateScale templateYLabel[1] templateYLabel[2] . The second place of templateXValue[0] was templateXValue[last] , with templateYValue[min] templateScale templateYLabel[1] templateYLabel[2] .
This statistic shows the templateYLabel[0] of templateYLabel[3] of the templateYLabel[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . The templateYLabel[0] of the templateYLabel[1] of the templateTitleSubject[0] in templateTitleSubject[0] amounted to approximately templateYValue[0] templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] in templateXValue[max] .
This statistic shows a ranking of the templateTitle[0] templateTitle[1] templateXValue[0] templateTitle[3] templateTitle[4] in templateTitleDate[0] , based on templateYLabel[0] . According to the source , templateXValue[0] was the leading templateXValue[0] with a templateYLabel[1] of templateYValue[max] templateScale templateYLabel[3] , followed templateTitle[4] templateXValue[1] with templateYValue[1] templateScale templateYLabel[3] templateYLabel[4] .
This statistic shows the most popular templateXValue[5] templateTitle[3] templateTitle[4] in templateTitleDate[0] . In that year , the photo sharing app templateXValue[0] had the largest templateYLabel[0] of almost templateYValue[max] templateScale templateYLabel[1] , followed by templateXValue[1] with templateYValue[1] templateScale templateYLabel[1] .
This statistic presents the distribution of templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in the templateTitle[5] as of 2019 . During the survey , it was found that templateYValue[max] templateScale of the templateYLabel[1] stated that they used templateXValue[0] on a daily basis .
This statistic shows the results of a survey among the templateTitle[0] templateTitle[1] templateTitle[2] in the templateTitleSubject[0] in templateTitleDate[0] . The templateTitle[0] of the templateXValue[2] templateXValue[13] , with over templateYValue[2] templateScale templateYLabel[3] templateYLabel[4] .
This graph depicts the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] of the National Basketball Association from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitleSubject[0] franchise had an estimated templateYLabel[1] of templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] of the United Kingdom ( templateTitleSubject[0] ) in templateTitleDate[0] , templateTitle[7] templateXLabel[1] . The templateXValue[0] of templateXValue[0] amounted to over templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] in templateTitleDate[0] .
This statistic shows the results of a survey among the leading templateTitle[1] templateTitle[2] templateTitle[3] in the United Kingdom ( templateTitleSubject[0] ) in templateTitleDate[0] . The survey shows that templateValue[1][0] templateScale of the respondents of the people in templateTitleDate[0] .
This statistic shows the average templateYLabel[0] templateYLabel[1] of the templateTitle[1] templateTitleSubject[0] templateTitle[4] templateTitleSubject[0] from templateTitleDate[min] to 2019 , in templateScale templateYLabel[3] . In 2019 , the templateTitle[2] templateTitle[3] templateTitleSubject[0] was templateYValue[max] thousand templateYLabel[2] templateYLabel[3] .
This statistic shows the results of a survey about the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in the templateTitleSubject[0] in templateTitleDate[0] . During the survey , it was found that templateYValue[1] templateScale of the templateYLabel[1] most popular templateXValue[5] would be templateXValue[5] templateXValue[0] .
The statistic shows the results of a survey among the leading templateTitle[7] in the United Kingdom ( templateTitleSubject[0] ) from templateTitleDate[min] to templateTitleDate[max] . The templateXValue[0] was the most common templateTitle[0] templateTitle[1] templateTitle[2] in the templateTitleSubject[0] with templateYValue[max] templateScale of templateYLabel[1] , followed by templateXValue[1] at templateYValue[1] templateScale .
This statistic shows the templateTitle[0] of the employees of templateTitleSubject[0] from templateValue[0][last] to templateValue[0][0] , broken down templateTitle[8] templateTitle[9] . In templateValue[0][0] , the templateTitle[0] of templateTitleSubject[0] employees amounted to templateValue[2][0] templateScale templateYLabel[3] .
The statistic depicts the templateYLabel[0] of the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of the Major League Baseball franchise amounted to templateYValue[idxmax(X)] templateScale templateYLabel[2] dollars.The templateTitleSubject[0] are owned by John Stanton and Chris Larson , who bought the franchise for 1.2 templateScale templateYLabel[2] templateYLabel[3] and 100 templateScale templateYLabel[2] templateYLabel[3] in templateXValue[2] and 1992 respectively .
The statistic shows the templateYLabel[0] of templateYLabel[1] templateTitle[1] templateTitle[2] in the templateTitle[0] between templateXValue[min] and templateXValue[max] . In templateXValue[max] , there were a total of templateYValue[idxmax(X)] templateTitle[1] templateTitle[2] in the templateTitle[0] .
This statistic shows the templateTitle[0] of the templateTitleSubject[0] of templateTitleSubject[0] templateTitle[4] from templateValue[0][last] to templateValue[0][0] , templateTitle[7] templateTitle[8] . The templateTitle[0] of the templateTitleSubject[0] employees in templateValue[0][0] was expected to reach approximately templateYValue[idxmax(X)] templateScale templateYLabel[3] in templateXValue[idxmax(Y)] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] employees in the United Kingdom ( templateTitleSubject[0] ) as of templateTitleDate[0] . The source defines templateXValue[0] , with a templateXValue[0] of templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at approximately templateYValue[6] templateScale .
The statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the templateYLabel[1] of the templateTitleSubject[0] amounted to approximately templateYValue[6] templateScale of the templateYLabel[3] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the average templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] was templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
The statistic shows the templateYLabel[0] of the templateTitle[1] templateTitle[2] templateYLabel[2] in the templateTitle[0] from templateXValue[min] to templateXValue[max] . According to the report , there were a total of templateYValue[2] templateScale templateYLabel[2] in the templateTitle[0] .
The statistic shows the templateYLabel[0] of the templateYLabel[1] of the templateYLabel[2] templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the average templateYLabel[0] templateYLabel[1] of a templateTitle[2] templateTitle[3] templateTitle[4] was templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[3] templateTitle[4] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] was templateYValue[idxmax(X)] templateYLabel[4] .
This statistic shows the templateTitle[0] of the templateTitle[1] templateTitle[2] templateTitle[3] ( templateTitle[4] ) templateTitle[5] templateTitle[6] templateTitle[7] in templateTitleSubject[0] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , templateLabel[1][0] contributed around templateValue[1][0] templateScale to the templateTitle[4] of templateTitleSubject[0] , templateValue[2][0] templateScale came from the templateLabel[2][0] and templateValue[3][0] templateScale from the service sector .
The timeline presents the templateTitle[1] templateYLabel[0] templateYLabel[1] in the templateTitle[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitle[1] templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] amounted to templateYValue[idxmax(X)] templateScale templateYLabel[3] templateYLabel[4] , up from templateYValue[1] templateScale templateYLabel[3] templateYLabel[4] in the previous templateXLabel[0] .
This statistic displays the templateYLabel[0] of individuals in the templateTitle[1] templateTitle[2] in the United Kingdom ( templateTitleSubject[0] ) from templateXValue[min] to templateXValue[max] . According to the source , templateYValue[max] templateScale of templateYLabel[1] reported accessing the templateTitle[0] smartphone users in the templateTitle[4] , templateYValue[4] templateScale of templateYLabel[1] reported .
This statistic shows the templateYLabel[0] of templateYLabel[1] in templateTitle[1] in the templateTitle[2] templateTitle[3] templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of templateYLabel[1] ( aged six years and older ) in templateTitle[1] amounted to approximately templateYValue[idxmax(X)] templateScale .
This graph depicts the templateYLabel[0] templateTitle[1] templateTitle[2] templateTitle[3] templateYLabel[1] of the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] at templateTitle[3] games of the templateTitleSubject[0] was templateYValue[0] templateYValue[idxmax(X)]
The statistic shows the templateYLabel[0] of the templateYLabel[2] templateYLabel[3] templateTitle[4] of goods and services from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] of the templateTitleSubject[0] amounted to templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateYLabel[3] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the average templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] was templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] of templateYLabel[1] of templateTitleSubject[0] worldwide from templateXValue[min] to templateXValue[max] . The company had a total of templateYValue[idxmax(X)] templateYLabel[1] globally .
This statistic shows the templateYLabel[0] of adults in the templateTitleSubject[1] who were using templateTitle[5] as of 2019 , sorted templateTitle[7] templateTitle[8] . During that period of time , it was found that templateYValue[last] templateScale of templateXValue[last] were templateXValue[last] templateXValue[0] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] with the highest templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] in templateTitleDate[0] . During the survey period , it was found that templateYValue[max] templateScale of templateYLabel[1] templateYLabel[2] templateYLabel[3] had a templateXValue[0] templateYValue[1] templateScale .
This statistic shows the average templateTitle[0] templateTitle[1] in templateValue[0][0] for those born in templateTitleDate[0] , by gender and templateLabel[0][0] . The average templateTitle[0] templateTitle[1] in the whole continent was templateValue[1][2] years for templateLabel[1][0] and templateValue[2][2] years for templateLabel[2][0] . The average templateTitle[0] templateTitle[1] globally was 70 years for templateLabel[1][0] and 75 years for templateLabel[2][0] in templateTitleDate[0] .
The statistic provides a comparison of the average amount of templateTitle[0] templateTitle[3] templateTitle[4] and templateTitle[5] templateTitle[8] templateTitle[9] in the templateTitleSubject[0] member templateTitle[7] in templateTitleDate[0] , templateTitle[7] templateTitle[8] templateTitle[9] . In templateValue[0][0] , the templateTitle[0] of the templateTitle[2] templateTitle[3] templateTitle[4] had amounted to templateValue[2][0] and templateValue[1][0] per 100,000 inhabitants .
The statistic presents the templateTitle[0] templateTitle[1] templateTitle[2] in templateTitleSubject[0] in templateTitleDate[0] , templateTitle[5] templateXLabel[0] . According to the source , templateXValue[0] had the largest templateYLabel[0] of templateYValue[max] templateScale templateYLabel[1] , followed by templateXValue[1] with templateYValue[1] templateScale .
This statistic shows the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to about templateYValue[6] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic presents the templateScale of online consumers in the templateTitle[0] who are templateTitleSubject[0] templateTitle[2] members . During the most recent survey period in 2016 , it was found that templateYValue[min] templateScale of responding Millennials had an templateTitleSubject[0] templateTitle[2] templateXValue[0] .
The statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] on templateTitle[3] templateTitle[4] per consumer unit in the templateTitle[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the country 's templateYLabel[0] templateYLabel[1] templateYLabel[2] on templateTitle[3] templateTitle[4] amounted to templateYValue[idxmax(X)] templateYLabel[3] templateYLabel[4] per consumer unit .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] of templateTitle[4] in templateTitleSubject[0] from templateTitleDate[min] to templateTitleDate[max] . In the first templateLabel[0][0] of templateTitleDate[max] , the templateTitle[1] templateTitle[2] templateTitle[3] of templateTitle[4] in templateTitleSubject[0] in Denmark was templateValue[8][max] U.S. dollars .
This graph depicts the templateYLabel[0] templateYLabel[1] templateYLabel[2] for templateTitleSubject[0] games within the National Hockey League from 2005/06 to templateTitle[6] . In the 2005/06 , the templateYLabel[0] templateYLabel[1] templateYLabel[2] was templateYValue[last] templateYLabel[3] templateYLabel[4] .
This statistic shows the templateYLabel[0] of templateTitle[2] templateYLabel[1] at templateTitle[3] establishments in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of templateYLabel[1] in travel templateTitle[3] ( including both international and domestic tourists ) amounted to approximately templateYValue[idxmax(X)] templateScale .
This statistic shows the templateYLabel[0] of the templateTitle[1] templateTitle[2] templateXValue[4] templateTitle[4] in templateTitleDate[0] , templateTitle[7] templateTitle[8] . According to the survey findings , templateValue[1][0] templateScale of the templateYLabel[2] templateYLabel[3] in templateXValue[4] was templateXValue[0] , while templateXValue[2] with a templateYLabel[0] of templateYValue[2] templateScale .
This statistic presents the templateTitle[0] networking reach in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , templateYValue[idxmin(X)] templateScale of the templateYLabel[1] in the country accessed templateTitle[0] templateTitle[1] . In templateXValue[4] , this templateYLabel[0] is projected to reach templateYValue[4] templateScale .
This statistic presents the templateYLabel[0] of templateTitle[0] templateTitle[1] templateYLabel[1] in the templateTitleSubject[0] as of 2019 . During that period , it was found that templateXValue[0] accounted for over templateYValue[max] templateScale of all templateYLabel[2] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitleSubject[0] from the first templateXLabel[0] of templateTitleDate[min] to the fourth templateXLabel[0] of templateTitleDate[max] . In the second templateXLabel[0] of templateTitleDate[max] , the templateTitle[0] templateTitle[1] templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] templateYLabel[3] .
The statistic shows the distribution of templateTitle[0] in templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , templateValue[1][0] templateScale of the employees in templateTitleSubject[0] were active in the agricultural templateTitle[3] , templateValue[2][0] templateScale in templateLabel[2][0] and templateValue[3][0] templateScale in the service templateTitle[3] .
This graph depicts the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] of the National Football League from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] came to templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] . The templateTitleSubject[0] are owned by Terry and Kim Pegula .
This graph depicts the templateYLabel[1] of the templateTitleSubject[0] franchise of the National Basketball Association from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] had an estimated templateYLabel[1] of templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] .
This statistic shows the degree of templateTitle[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . templateTitle[0] means the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateYLabel[3] templateYLabel[2] of a country . In templateXValue[max] , templateYValue[idxmax(X)] templateScale of templateTitleSubject[0] 's templateYLabel[3] templateYLabel[2] lived in templateYLabel[1] areas and cities .
This statistic shows the templateTitle[0] of the templateTitle[1] templateTitle[2] templateTitle[3] ( templateTitle[4] ) templateTitle[5] templateTitle[6] templateTitle[7] in templateTitleSubject[0] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , templateLabel[1][0] contributed around templateValue[1][0] templateScale to the templateTitle[4] of templateTitleSubject[0] , templateValue[2][0] templateScale came from the templateLabel[2][0] and templateValue[3][0] templateScale from the templateLabel[3][0] sector .
In templateValue[0][0] , the templateTitle[0] templateTitle[1] in the templateTitle[3] was templateValue[1][0] templateLabel[1][0] and templateValue[2][0] templateScale for templateLabel[2][0] in the templateTitleSubject[0] , while templateLabel[2][0] it was found that templateValue[2][0] templateScale of the templateTitle[1] at templateTitle[2] templateTitle[3] in templateValue[0][0] . Among templateLabel[1][0] was templateValue[1][0] templateScale of the templateTitle[0] , templateValue[2][0] templateScale of templateLabel[1][0] it was templateValue[1][0] templateScale as for templateLabel[2][0] in the templateTitle[1] in templateValue[0][0] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] from templateXValue[min] to templateXValue[max] . The average templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] is expected to reach templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] in templateXValue[idxmax(Y)] .
This statistic provides information on the average templateYLabel[0] of templateYLabel[3] templateTitle[4] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateTitle[7] in the United Kingdom ( templateTitleSubject[0] ) . The distribution of templateYLabel[1] stood at templateYValue[4] templateYLabel[2] templateYLabel[3] templateYLabel[4] in templateTitleDate[0] .
The statistic shows templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) denotes the aggregate value of all services and goods produced within a country in any given templateXLabel[0] . templateTitle[3] is an important indicator of a country 's economic power .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[0] templateTitle[1] templateYLabel[3] templateYLabel[4] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of a templateYLabel[4] of of templateTitleSubject[0] was templateYValue[idxmax(X)] templateYLabel[3] templateYLabel[4] .
The statistic shows the templateTitle[0] templateTitle[1] ( templateYLabel[0] ) of the templateTitleSubject[0] 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 illustrates the distribution of templateYLabel[1] of the United Kingdom ( templateTitleSubject[0] ) . The templateXValue[0] accounted for almost templateYValue[0] templateScale of the employees in the United Kingdom ( templateTitleSubject[1] ) .
This statistic presents the templateTitle[0] network size of teenage templateTitleSubject[0] users in the templateTitle[1] . During the 2015 survey , it was found that templateYValue[1] templateScale of templateYLabel[1] had templateXValue[1] to templateXValue[1] followers on the social network . The templateTitle[1] templateTitle[2] templateTitle[0] was 150 followers .
This statistic shows the templateTitle[0] templateTitleSubject[0] ( UK ) templateTitle[4] templateYLabel[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] as of 2019 . The templateTitle[0] of templateTitleSubject[0] was templateXValue[0] , with a templateYLabel[0] templateYLabel[1] of templateYValue[max] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[0] templateTitle[1] in selected countries in templateTitleDate[0] . In that year , templateXValue[0] had the highest templateYLabel[0] templateYLabel[1] of templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] , followed templateTitle[5] templateXValue[1] with templateYValue[1] templateScale templateYLabel[3] templateYLabel[4] on templateYLabel[0] templateYLabel[1] .
This statistic presents the distribution of templateTitle[0] employees in the templateTitleSubject[0] as of 2019 , based on templateXValue[0] . According to the source , it was found that templateYValue[7] templateScale of people .
This statistic shows the 20 templateTitleSubject[0] of the templateYLabel[1] templateTitle[2] templateTitle[3] templateTitle[4] in templateTitleDate[0] . In that year , the templateXValue[0] was the largest templateTitleSubject[0] exporter , with templateYValue[max] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[3] templateTitleSubject[0] templateTitle[4] from the 2001/02 season to the 2018/19 season . In 2018/19 , the average templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] was templateYValue[max] templateYLabel[2] templateYLabel[3] .
This statistic shows the results of a survey among the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in templateTitleSubject[0] in templateTitleDate[0] . The survey results were templateXValue[0] with a templateXValue[last] of templateYValue[max] templateScale of templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic shows the results of a survey among templateTitleSubject[0] adult templateTitle[1] . The survey was fielded templateXValue[3] by Harris Interactive in 2014 , asking the templateYLabel[1] from templateTitleSubject[0] . Some templateYValue[2] templateScale of templateYLabel[1] stated that they had a templateXValue[0] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] reported a templateYLabel[0] templateYLabel[1] of templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] .
This statistic shows the templateYLabel[0] of people employed by the templateTitle[0] since templateXValue[min] and templateXValue[max] . As of templateXValue[max] , the templateScale of the employees employees were generated in templateTitleSubject[0] . In templateXValue[max] , the templateTitle[0] of templateTitleSubject[0] amounted to templateYValue[idxmax(X)] templateScale templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] in templateTitleDate[0] , templateTitle[4] templateXLabel[0] . In that year , the templateXValue[0] was the templateTitle[2] templateTitle[3] with a templateYLabel[0] templateYLabel[1] of templateYValue[max] templateYLabel[2] templateYLabel[3] .
The statistic shows the distribution of employees employees in the templateTitleSubject[0] in templateTitleDate[0] , broken down templateTitle[8] templateXLabel[0] . According to the source , it was found that templateXValue[0] had a total of templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This statistic presents the templateYLabel[0] of employees employees employees in the templateTitle[0] in templateTitleDate[0] , based on templateXValue[0] . According to the source , templateYValue[2] templateScale of templateYLabel[2] templateYLabel[3] .
This statistic shows the 20 templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in the United Kingdom ( templateTitleSubject[0] ) in templateTitleDate[0] , templateTitle[7] templateTitle[8] . The templateTitle[0] templateTitle[1] of the templateValue[0][0] group in templateTitleDate[0] was templateValue[2][0] British pounds .
This statistic shows the templateTitle[0] templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateYLabel[3] of templateTitle[1] in templateTitleSubject[0] in templateTitleDate[0] . In templateXValue[0] , templateYValue[max] templateScale of templateTitleSubject[0] were spent worldwide .
This statistic shows the templateYLabel[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in the templateTitleSubject[0] from templateXValue[last] to templateXValue[0] . In templateXValue[0] , the templateYLabel[0] templateYLabel[1] at the templateYValue[3] templateScale .
This statistic shows the templateYLabel[0] of The templateTitleSubject[0] restaurants from templateXValue[min] to templateXValue[max] . In templateXValue[max] , U.S.-based restaurant chain The templateTitleSubject[0] had templateYValue[max] templateYValue[idxmax(X)] , up from templateYValue[1] the previous templateXLabel[0] .
This graph depicts the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] of the National Football League from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] came to templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] . The templateTitleSubject[0] are owned by Terry and Kim Pegula .
This statistic shows the templateTitle[0] of templateTitle[1] templateTitle[2] and templateTitle[3] templateTitle[4] in the United Kingdom ( templateTitleSubject[0] ) from templateValue[0][last] to templateValue[0][0] . In templateValue[0][last] , the number of templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in the templateTitleSubject[0] amounted to templateValue[1][last] templateScale U.S. dollars .
This statistic shows the average templateTitle[0] templateTitle[1] rate of templateTitle[2] templateTitle[3] templateTitle[4] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , about templateValue[3][0] templateScale of templateTitle[0] templateTitle[1] were sold in the templateLabel[3][0] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in templateTitleSubject[0] from templateTitleDate[min] to templateTitleDate[max] . In 2019 , the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in templateTitleSubject[0] was templateValue[5][0] Canadian dollars .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] with the highest templateYLabel[0] of templateTitleSubject[0] templateXValue[0] . templateXValue[0] had the templateTitle[0] templateTitle[1] templateTitle[2] of templateYValue[max] templateScale templateYLabel[2] of templateTitleSubject[0] .
The statistic shows the templateTitle[0] templateTitle[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the templateTitle[0] templateTitle[1] of templateTitleSubject[0] was around templateYValue[6] templateScale templateYLabel[0] . templateTitle[1] of templateTitleSubject[0] After a subtle year-over-year templatePositiveTrend from 2004 to 2011 , the templateTitle[1] of templateTitleSubject[0] has experienced a slight drop from 2011 until templateXValue[min] .
In templateXValue[max] , the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] generated by templateYLabel[2] templateTitleSubject[0] in the fiscal templateXLabel[0] of templateXValue[max] . In the templateTitle[0] generated approximately templateYValue[idxmax(X)] templateScale templateYLabel[2] templateYLabel[3] in templateYLabel[0] for templateTitle[2] . templateTitleSubject[0] - additional information templateTitleSubject[0] is one of the four largest accounting and audit firms in the world .
This statistic depicts the total templateTitle[0] templateTitle[1] and templateTitle[2] templateTitle[3] of templateTitleSubject[0] in templateTitleDate[min] and templateTitleDate[max] . In the most recently reported period , the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] of templateTitleSubject[0] templateTitle[5] in the country was templateValue[2][max] U.S. dollars .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] of templateTitleSubject[0] templateTitle[5] in templateTitleDate[min] and templateTitleDate[max] . The templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in templateTitleSubject[0] amounted to about templateValue[1][max] templateScale U.S. dollars in templateTitleDate[0] .
This statistic shows the change in the templateYLabel[1] of the templateYLabel[1] of templateTitleSubject[0] from the first templateXLabel[0] of templateTitleDate[min] to the third templateXLabel[0] of templateTitleDate[max] . In the first templateXLabel[0] of templateTitleDate[max] , the templateTitle[0] of templateTitleSubject[0] templateYLabel[3] was templateYValue[min] templateYLabel[1] templateYLabel[3] .
This statistic shows the templateTitle[0] templateTitle[1] the largest templateXValue[0] templateYLabel[3] of the templateTitle[2] in templateTitleDate[0] , templateTitle[4] templateXLabel[0] . According to the source , the templateTitle[0] templateXValue[0] generated approximately templateYValue[max] templateScale templateYLabel[3] of templateYLabel[1] templateYLabel[2] templateYLabel[3] in that year .
This statistic shows the results of a survey among a templateTitle[0] of people in templateTitleSubject[0] in templateTitleDate[0] . It was found that the templateTitle[0] of people templateTitle[3] templateTitle[4] of the country will be templateXValue[0] , with a total of templateYValue[max] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateTitle[0] templateTitle[1] and templateTitle[2] in the templateTitleSubject[0] from templateValue[0][last] to templateValue[0][6] , with projections up until templateValue[0][0] . In templateValue[0][6] , templateTitle[0] templateTitle[1] in the templateTitleSubject[0] amounted to around templateValue[1][6] templateScale euros , while templateTitle[0] templateTitle[2] came to around templateValue[2][6] templateScale euros .
This statistic gives information on the templateTitle[0] templateTitle[1] templateTitle[2] employees in the templateTitle[4] as of 2019 . According to the survey findings , it was that the templateXValue[0] education accounted for templateYValue[7] templateScale of people .
This statistic shows the total templateYLabel[0] of the templateTitle[0] employees in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] , from templateXValue[min] to templateXValue[max] . In templateXValue[min] , the templateTitle[0] of the templateTitleSubject[0] templateTitle[2] templateYLabel[0] templatePositiveTrend by templateYValue[idxmin(X)] templateScale , compared to the previous templateXLabel[0] .
This statistic shows the 20 templateTitle[0] templateTitle[1] the templateTitle[2] templateTitle[3] in templateTitleDate[0] , templateTitle[4] templateXLabel[0] . In that year , the templateXValue[0] was ranked first with a templateYLabel[0] of templateYValue[max] templateScale templateYLabel[3] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] of templateTitleSubject[0] worldwide from templateXValue[min] to templateXValue[max] . According to the report , the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] templateTitle[3] templateTitleSubject[0] amounted to templateYValue[0] templateScale templateYLabel[3] templateYLabel[4] .
This statistic shows the templateYLabel[0] of templateTitle[0] templateTitle[1] templateTitle[2] in the templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[2] , there were a total of templateYValue[2] templateScale templateYLabel[1] with the templateYLabel[3] of templateTitle[0] in templateTitleSubject[0] .
This statistic shows the templateYLabel[0] of recreational templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[1] , the templateYLabel[0] templateTitle[2] in templateTitleSubject[0] amounted to templateYValue[1] templateScale templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This statistic shows the templateYLabel[0] of templateTitle[2] templateTitle[3] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , it is estimated that there will be around templateYValue[idxmax(X)] templateScale templateTitle[2] templateTitle[3] templateYLabel[1] in the country , up from templateYValue[idxmin(X)] templateScale in templateXValue[idxmin(Y)] .
The statistic depicts the templateTitle[2] of templateYLabel[1] at that templateTitle[4] in templateTitleSubject[0] in templateTitleDate[0] , based on the templateXValue[0] . templateXValue[0] accounted for templateYValue[max] templateScale of the templateYLabel[1] of the total templateYLabel[0] .
This statistic gives information on the most-followed templateTitle[0] templateTitle[1] templateTitle[2] of templateTitleSubject[0] as of 2019 , templateTitle[4] templateYLabel[0] . According to the source , templateXValue[0] was the most-followed templateTitle[2] almost templateYValue[max] templateScale templateYLabel[1] .
As of templateTitleDate[0] , it was found that templateYValue[max] templateScale of the templateYLabel[1] claimed that templateYValue[1] templateScale of the templateXValue[2] a templateXValue[1] templateXValue[2] . templateXValue[1] 's templateXValue[2] with templateYValue[2] templateScale of templateYLabel[1] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateYLabel[3] templateTitle[4] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[1] of templateTitleSubject[0] was approximately templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
The statistic depicts the templateYLabel[0] of the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of the Major League Baseball franchise amounted to templateYValue[idxmax(X)] templateScale templateYLabel[2] dollars.The templateTitleSubject[0] are owned by John Stanton and Chris Larson , who bought the franchise for 1.2 templateScale templateYLabel[2] templateYLabel[3] and 100 templateScale templateYLabel[2] templateYLabel[3] in templateXValue[2] .
The statistic shows a ranking of the templateTitleSubject[0] League according to the templateYLabel[2] templateYLabel[0] templateTitle[4] , templateTitle[7] templateTitle[8] . In the last reported period , the templateXValue[0] accounted for templateYValue[max] templateScale of all templateYLabel[2] .
This statistic shows the templateTitle[0] of templateTitle[1] templateTitle[2] templateTitle[3] templateTitleSubject[0] templateTitle[4] people in templateTitleDate[0] , templateTitle[7] templateTitle[8] of templateYLabel[1] . In that year , templateXValue[0] was ranked first , with a score of templateYValue[max] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateTitle[0] of the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , about templateYValue[idxmax(X)] templateScale people lived in templateTitleSubject[0] , making it the templateTitle[0] of the templateTitleSubject[0] .
As of the third quarter of templateTitleDate[0] , templateXValue[0] had the highest templateYLabel[0] of people on the templateTitleSubject[0] . According to the source , templateXValue[0] accounted for over templateYValue[max] templateScale of people of total templateYLabel[2] templateYLabel[3] , followed by templateXValue[1] with templateYValue[1] templateScale .
There were templateYValue[max] templateTitleSubject[0] stores across templateTitleSubject[1] in templateTitleDate[0] . templateXValue[1] was templateTitleSubject[0] to templateYValue[1] , the most templateYLabel[1] templateTitle[6] far . templateXValue[2] and templateXValue[3] were ranked in second and third places , with templateYValue[2] and templateYValue[3] templateYLabel[1] located in each templateXLabel[0] respectively .
The statistic shows the templateYLabel[0] of the total templateYLabel[2] in the templateTitleSubject[0] from templateXValue[min] to templateXValue[7] , with projections up until templateXValue[max] . According to the total market value of all goods and services produced in a country in a templateXLabel[0] . It is considered to be a very important indicator of the economic strength of a country and a positive change is an indicator of economic growth .
How many people have been sold ? Almost templateYValue[max] templateScale people were sold in templateTitleDate[0] , making it the templateTitle[0] templateTitle[1] in the templateTitleSubject[0] during that year . In the last ten years , templateXValue[0] character had almost templateYValue[max] templateScale of all people .
This statistic shows the templateTitle[0] templateYValue[3] templateYLabel[2] templateYLabel[3] of the templateYLabel[1] templateTitle[1] templateTitle[2] in templateTitleDate[0] , templateTitle[4] templateXLabel[0] . It was that time , templateXValue[0] , with over templateYValue[max] templateScale templateYLabel[3] of templateYLabel[1] , followed by templateXValue[1] with templateYValue[1] templateScale of the templateYLabel[1] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[0] in the templateTitleSubject[0] from the first templateXLabel[0] of templateTitleDate[min] to the fourth templateXLabel[0] of templateTitleDate[max] . As of the most recently reported templateXLabel[0] , templateTitleSubject[0] 's total templateYLabel[0] amounted to templateYValue[0] templateScale templateYLabel[2] templateYLabel[3] .
As of the third quarter of templateTitleDate[0] , it was found that templateYValue[max] templateScale of templateTitleSubject[0] users in the templateTitleSubject[1] accessed the social platform templateXValue[0] a templateXValue[0] . A further templateYValue[1] templateScale of templateYLabel[1] claimed that they used templateXValue[1] templateXValue[0] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[0] templateTitleSubject[0] from templateTitleDate[min] to 2019 , with projections up until templateXValue[max] . In 2019 , the templateTitle[0] templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] templateTitle[2] was templateYValue[last] templateYLabel[2] templateYLabel[3] .
This statistic shows the results of a survey in the country in templateTitleDate[0] on one-night-stands . templateYValue[max] templateScale of templateYLabel[1] in the country stated they templateTitle[3] templateTitle[4] a templateTitle[5] before .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[0] templateTitle[1] templateTitleSubject[0] templateTitle[3] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] of templateTitleSubject[0] templateTitle[3] templateTitleSubject[0] was approximately templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
This statistic shows the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to about templateYValue[6] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
The statistic shows the templateYLabel[0] templateYLabel[1] of the employees of the templateTitleSubject[0] , from templateXValue[min] to templateXValue[max] . According to the report , the templateYLabel[0] templateYLabel[1] made up just over 5 templateScale templateYLabel[3] templateYLabel[4] .
This statistic shows the 20 templateTitle[0] of templateTitle[1] in the templateTitle[3] in templateTitleDate[0] , templateTitle[4] templateXLabel[0] . In that year , the templateXValue[0] of templateXValue[0] had the highest templateYLabel[0] templateYLabel[1] of approximately templateYValue[max] templateYLabel[2] templateYLabel[3] .
This statistic displays the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] in selected countries templateTitle[5] in templateTitleDate[0] , templateTitle[7] templateXLabel[0] . In this year , templateXValue[0] had the highest templateYLabel[0] templateYLabel[1] of templateYValue[max] templateYLabel[2] templateYLabel[3] .
The statistic shows the templateTitle[0] of templateTitle[1] in the templateTitleSubject[0] and templateTitle[4] templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , there were a total of templateValue[1][0] templateScale templateLabel[1][0] respondents of the templateTitleSubject[0] owners .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] of the templateTitle[4] in templateTitleSubject[0] in templateTitleDate[0] , templateTitle[7] templateXLabel[1] . The templateYLabel[0] templateYLabel[1] of the templateXValue[0] amounted to about templateYValue[max] templateScale U.S. dollars . A templateYLabel[0] is defined here as the trademark and associated intellectual property .
This statistic shows the estimated templateYLabel[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateTitle[4] in templateTitleSubject[0] in templateTitleDate[0] , templateTitle[7] templateXLabel[0] . In templateTitleDate[0] , the templateXValue[0] of templateXValue[1] with a templateYLabel[0] templateYLabel[1] of templateYValue[max] templateScale templateYLabel[3] .
This statistic gives information on the templateTitle[0] templateTitle[1] templateTitle[2] of templateTitle[3] templateTitle[4] templateYLabel[0] . As of 2019 , templateXValue[0] had the templateTitle[0] templateYLabel[0] of all templateTitleSubject[0] templateTitle[4] . According to the templateTitle[2] , with a templateTitle[0] of templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] of the templateYLabel[1] of the templateYLabel[2] templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] of the templateYLabel[1] of templateTitleSubject[0] amounted to templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
This statistic shows the degree of templateTitle[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . templateTitle[0] means the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateYLabel[3] templateYLabel[2] of a country . In templateXValue[max] , templateYValue[idxmax(X)] templateScale of templateTitleSubject[0] 's templateYLabel[3] templateYLabel[2] lived in templateYLabel[1] areas and cities .
This statistic shows the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to about templateYValue[6] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic gives information on the templateScale of templateTitleSubject[0] templateYLabel[1] templateYLabel[2] as of 2020 , sorted by templateTitle[1] . During the survey period , templateYValue[min] templateScale of templateTitleSubject[0] templateTitle[3] were templateXValue[0] and templateYValue[max] templateScale were templateXValue[last] .
This statistic gives information on templateTitleSubject[0] 's templateYLabel[0] templateTitle[2] templateTitle[3] templateTitle[4] from the second templateXLabel[0] of 2011 to the second templateXLabel[0] of templateTitleDate[max] . As of the last reported templateXLabel[0] , the website 's templateYLabel[0] templateYLabel[1] amounted to templateYValue[0] templateScale templateYLabel[3] .
This statistic provides a comparison of the templateTitle[0] amount of time templateTitle[4] on templateTitle[5] housework by gender . As of templateTitleDate[0] , it was found that templateValue[2][0] templateScale of the population had completed templateValue[2][0] templateScale of women in templateValue[0][0] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitleSubject[0] in the templateTitle[7] as of 2013 . During the survey , templateYValue[3] templateScale of templateTitleSubject[0] stated templateXValue[3] with templateXValue[3] and templateXValue[3] as a favorite templateTitle[2] activity .
This statistic shows the 20 templateTitleSubject[0] ( UK ) templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in templateTitleDate[0] . The templateTitle[0] templateTitle[1] templateTitle[3] templateTitleSubject[0] was templateXValue[0] , with a templateYLabel[0] of templateYValue[max] templateYLabel[2] templateYLabel[3] .
This graph depicts the templateYLabel[0] templateYLabel[1] templateYLabel[2] for templateTitleSubject[0] games in Major League Baseball from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] templateYLabel[2] was at templateYValue[idxmax(X)] templateYLabel[3] templateYLabel[4] .
This statistic shows the results of a survey in the templateYLabel[1] of a templateTitleSubject[0] on templateTitle[4] in templateTitleDate[0] . According to the source , the templateTitle[0] of goods and services produced in templateXValue[3] . In templateTitleDate[0] , the templateXValue[0] had templateYValue[7] templateScale of the templateYLabel[1] templateYLabel[3] .
The statistic shows templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) denotes the aggregate value of all services and goods produced within a country in any given templateXLabel[0] . templateTitle[3] is an important indicator of a country 's economic power .
The statistic shows the templateTitleSubject[0] players with the most templateYLabel[0] templateYLabel[1] templateXLabel[1] in templateTitleDate[0] . templateXValue[0] is the largest templateYLabel[0] leader of the templateTitleSubject[0] League with templateYValue[max] templateScale templateYLabel[4] templateYLabel[5] .
The statistic shows the results of a survey among the templateTitle[0] templateTitle[1] templateTitle[2] in templateTitleSubject[0] in templateTitleDate[0] . templateValue[1][0] templateScale of the templateYLabel[1] were held held templateTitle[4] templateXValue[0] , compared to the previous year .
This statistic shows the templateTitle[0] of the templateTitle[1] templateTitle[2] templateTitle[3] in templateTitleSubject[0] in templateTitleDate[0] , templateTitle[7] templateXLabel[1] . According to the source , the templateXValue[0] accounted for approximately templateYValue[max] templateScale of all templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateTitle[0] templateTitle[1] in the templateTitle[2] from templateTitleDate[min] to templateTitleDate[max] , in templateYLabel[1] . In templateTitleDate[max] , the templateTitle[0] templateTitle[1] in the templateTitleSubject[0] was at templateYValue[max] templateYLabel[2] templateYLabel[3] .
In the third templateXLabel[0] of templateXValue[0] , the templateTitleSubject[0] ( IT ) sector of the Technical Consumer Goods industry generated a templateYLabel[0] of approximately 2.302 templateScale British pounds . This represents growth of five templateScale on templateXValue[0] templateXValue[3] . templateYLabel[0] is traditionally higher during the fourth templateXLabel[0] of each year , exceeding templateYValue[2] templateScale British pounds in templateXValue[3] , the first time that mark had been broken since templateXValue[3] templateXValue[27] .
This statistic gives information on the templateTitle[0] templateTitle[1] templateTitle[2] in the templateTitle[4] as of 2019 . The templateXValue[0] had the highest templateYLabel[2] with over templateYValue[max] templateScale templateYLabel[4] templateYLabel[5] . The total templateYLabel[0] of templateTitle[2] .
As of templateTitleDate[0] , the templateXValue[0] had the highest prevalence of templateTitle[0] templateTitle[1] in templateTitleSubject[0] at templateYValue[max] templateScale of the templateYLabel[1] having used in the previous year . This was followed templateTitle[7] templateXValue[2] and the templateXValue[1] which both had templateYValue[1] templateScale of individuals using templateTitle[0] in this period . Breakdown of templateTitle[0] users in the UK When broken down templateTitle[7] age , the highest prevalence of templateTitle[0] users in the UK is found in the youngest age groups .
This statistic presents the templateScale of online consumers in the templateTitle[0] who are templateTitleSubject[0] templateTitle[2] templateXValue[last] as of 2019 . During the survey period , it was found that templateYValue[1] templateScale of templateYLabel[1] stated that they used templateXValue[1] a templateXValue[1] .
This statistic illustrates the distribution of templateTitle[0] templateTitleSubject[0] templateYLabel[0] templateTitle[2] templateYLabel[1] in templateTitleDate[0] , templateTitle[4] segments . templateXValue[0] accounted for templateYValue[max] templateScale of the company 's templateYLabel[0] that year .
The statistic shows templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) denotes the aggregate value of all services and goods produced within a country in any given templateXLabel[0] . templateTitle[3] is an important indicator of a country 's economic power .
This statistic shows the templateTitle[0] of templateTitleSubject[0] employees templateTitle[4] from templateValue[0][last] to templateValue[0][0] . The templateTitle[0] of templateTitleSubject[0] employees amounted to approximately templateValue[1][0] templateScale templateYLabel[3] in templateValue[0][0] .
This statistic shows the total templateYLabel[0] of templateTitleSubject[0] in the first templateXLabel[0] of templateXValue[0] from the first templateXLabel[0] of templateXValue[last] to the first templateXLabel[0] of templateXValue[0] . In the fourth templateXLabel[0] of templateXValue[0] , the templateTitle[0] templateYLabel[3] of templateYValue[0] templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
The statistic shows the templateYLabel[0] of the templateYLabel[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] employed approximately templateYValue[0] templateYValue[idxmax(X)] templateYLabel[3] templateYLabel[4] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateYLabel[3] templateTitle[4] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[1] of templateTitleSubject[0] was templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] . The highest templateYLabel[0] templateYLabel[1] group in templateXValue[idxmax(Y)] was templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
As of 2019 , it was found that over templateYValue[max] templateScale of templateYLabel[3] of templateTitle[4] templateTitle[5] users in templateTitleSubject[0] . templateXValue[1] was the second largest templateYLabel[0] that year , with a templateYLabel[0] of templateYValue[1] templateScale templateYLabel[3] .
This graph depicts the templateYLabel[0] templateTitle[1] templateTitle[2] templateTitle[3] templateYLabel[1] of the templateTitleSubject[0] from templateXValue[last] to templateXValue[0] . In templateXValue[0] , the templateYLabel[0] templateYLabel[1] at templateTitle[3] games of the templateTitleSubject[0] was templateYValue[0] templateYValue[idxmax(X)]
The graph shows a ranking of the templateTitle[3] templateTitle[4] templateTitle[5] at the templateTitle[7] templateTitle[8] in templateTitleDate[0] . The templateXValue[0] Giants had an templateYLabel[0] templateYLabel[2] of templateYValue[max] templateYLabel[3] .
This statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] of the templateTitle[0] templateXLabel[1] in templateTitleSubject[0] in templateTitleDate[0] . The ranking with the highest templateYLabel[0] templateYLabel[1] rate of templateYValue[max] templateYLabel[2] templateYLabel[3] .
This statistic shows the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to about templateYValue[6] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
The graph depicts the templateYLabel[0] templateYLabel[1] templateYLabel[2] for templateTitleSubject[0] games in Major League Baseball from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] templateYLabel[2] was at templateYValue[idxmax(X)] templateYLabel[3] templateYLabel[4] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] templateTitle[4] was approximately templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[0] templateTitleSubject[0] templateTitle[3] templateTitle[4] from templateTitleDate[min] to templateTitleDate[max] . In templateTitleDate[max] , the templateTitle[0] templateYLabel[0] templateYLabel[1] of the templateTitle[3] templateTitle[4] was templateYValue[0] templateYLabel[2] templateYLabel[3] .
This graph shows the templateTitle[1] templateTitle[2] templateTitle[3] templateYLabel[0] in the country from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the nationwide templateYLabel[0] was templateYValue[idxmax(X)] templateYLabel[3] templateYLabel[1] 100,000 of the templateYLabel[3] .
This statistic shows the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to about templateYValue[6] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
The statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] and templateXValue[max] . According to the source , the data are ILO estimates . In templateXValue[max] , the estimated templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] was at templateYValue[idxmax(X)] templateScale .
This statistic illustrates the number of templateTitleSubject[0] and templateLabel[2][0] templateLabel[2][1] templateTitle[3] templateTitle[4] templateTitle[5] in templateTitleDate[0] . In that year , the templateValue[0][0] of templateTitleSubject[0] employees were templateLabel[1][0] in the world .
This statistic shows the distribution of templateYLabel[1] of the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in templateTitleDate[0] , templateTitle[7] templateTitle[8] . As of that year , templateXValue[0] was the templateTitle[0] templateXValue[0] , with a total of templateYValue[max] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[3] templateTitle[4] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the average templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] was templateYValue[idxmax(X)] templateYLabel[3] .
This statistic shows the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to about templateYValue[6] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic shows the distribution of templateYLabel[2] templateYLabel[3] of the templateTitle[0] templateTitle[1] in templateTitleDate[0] . templateXValue[0] had the highest templateTitle[0] templateYLabel[0] of templateYValue[max] templateYLabel[2] templateYLabel[3] , followed by templateXValue[1] with templateYValue[1] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateTitle[0] of templateTitle[1] templateYLabel[0] templateYLabel[1] templateTitle[3] on templateTitleSubject[0] from 2016 to 2019 . In 2019 , the templateTitle[0] of templateYLabel[1] was valued at templateYValue[0] templateYLabel[2] templateYLabel[3] templateYLabel[4] . The templateTitle[0] templateTitle[1] templateYLabel[0] is based on the prices .
According to a templateTitleDate[0] survey , it was found that templateYValue[max] templateScale of templateYLabel[1] felt that templateXValue[0] a quarter templateTitleSubject[1] templateXValue[0] or templateTitle[1] templateTitle[2] in the templateTitleSubject[0] . A further templateYValue[1] templateScale of templateYLabel[1] claimed that they used templateXValue[1] on a templateXValue[1] basis .
This statistic shows the templateTitle[0] of the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in the templateTitle[5] from templateValue[0][last] to templateValue[0][0] . According to the survey , it was found that templateValue[1][0] templateScale of the respondents of people .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitle[1] templateTitle[2] in templateTitleSubject[0] was at about templateYValue[idxmax(X)] templateYLabel[0] templateYLabel[1] 1,000 templateYLabel[3] templateYLabel[4] .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[3] of the templateTitle[0] templateTitle[1] in the United Kingdom ( templateTitleSubject[0] ) from templateTitleDate[min] to templateTitleDate[max] . The templateYLabel[0] of the templateTitleSubject[0] stood at templateYValue[7] templateYLabel[3] templateYLabel[4] in templateTitleDate[0] .
templateTitleSubject[0] has seen its templateTitle[1] templateYLabel[0] vary since templateXValue[min] , but it usually received more than 1,500 templateYLabel[1] ( mm ) of rain per templateXLabel[0] . However , in templateXValue[1] the recorded templateYLabel[0] amounted to 1,395mm , which was the fourth lowest during this period . templateYLabel[0] peaked in templateXValue[8] at 1,886mm .
The statistic shows the distribution of templateTitle[0] in templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , templateValue[1][0] templateScale of the employees in templateTitleSubject[0] were active in the agricultural templateTitle[3] , templateValue[2][0] templateScale in templateLabel[2][0] and templateValue[3][0] templateScale in the service templateTitle[3] .
The statistic shows templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) denotes the aggregate value of all services and goods produced within a country in any given templateXLabel[0] . templateTitle[3] is an important indicator of a country 's economic power .
This statistic shows the templateTitle[0] of templateTitle[1] templateTitle[2] templateTitle[3] the templateTitle[7] in templateTitleDate[0] , templateTitle[4] templateXLabel[0] . In that year , the templateXValue[1] of templateXValue[0] had the second highest templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] with templateYValue[max] templateYLabel[2] templateYLabel[3] .
The statistic shows the templateYLabel[0] templateYLabel[1] of women in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the average templateYLabel[0] templateYLabel[1] of templateTitle[2] at templateYLabel[2] in templateTitleSubject[0] was about templateYValue[0] templateYValue[idxmax(X)] templateYLabel[3] .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] in the templateTitle[2] from templateXValue[last] to templateXValue[0] . In templateXValue[0] , the templateYLabel[1] of templateTitleSubject[0] amounted to templateYValue[0] templateYLabel[2] .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] average end of the templateYLabel[2] templateYLabel[3] templateTitle[4] in templateTitleDate[0] . The templateXValue[0] templateXValue[1] , with the largest templateYLabel[0] of . In that year , there were templateYValue[1] templateYLabel[2] templateYLabel[3] that year .
The statistic shows the distribution of templateTitle[0] in templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , templateValue[1][0] templateScale of the employees in templateTitleSubject[0] were active in the agricultural templateTitle[3] , templateValue[2][0] templateScale in templateLabel[2][0] and templateValue[3][0] templateScale in the service templateTitle[3] .
The statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . A positive value indicates a state surplus ; a negative value , a state deficit . In templateXValue[6] , the state deficit of templateTitleSubject[0] was around 37.51 templateScale templateYLabel[3] .
This statistic gives information on the templateYLabel[0] of templateTitle[0] templateTitle[1] templateYLabel[1] in the templateTitleSubject[0] as of 2019 . The survey period , templateValue[1][0] templateScale of all templateTitle[0] templateTitle[1] .
This statistic shows total consumer spending on templateTitle[1] , templateTitle[3] , and templateTitle[2] from templateXValue[min] to templateXValue[max] . In templateXValue[1] , the templateYLabel[0] on templateYLabel[1] amounted to approximately templateYValue[1] templateScale British pounds .
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] . In templateXValue[last] , there were over 13,700 registered templateXValue[last] templateYLabel[1] in templateTitleSubject[0] during that time .
This statistic illustrates the templateTitle[3] templateYLabel[0] of the templateTitle[1] in the country from templateXValue[last] to templateXValue[0] . In templateXValue[0] , the templateTitle[1] templateYLabel[0] amounted to templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] templateYLabel[1] templateTitle[2] a templateTitle[3] templateTitle[4] of templateTitle[5] templateTitle[6] in templateTitle[7] templateTitle[8] in the templateTitle[9] from templateXValue[min] to templateXValue[max] . templateTitle[7] templateTitle[8] charged an templateYLabel[0] templateYLabel[1] of templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] templateTitle[2] a templateTitle[3] templateTitle[4] of templateTitle[5] templateTitle[6] in templateXValue[max] .
This statistic gives information on the templateTitle[0] templateTitle[1] templateTitle[2] in the templateTitle[4] as of 2019 , sorted templateTitle[6] templateTitle[7] . During the survey , templateValue[1][0] templateScale of respondents stated that they had used templateLabel[1][0] templateLabel[1][1] .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] ( templateYLabel[0] ) in the templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . templateYLabel[0] refers to the total market value of all goods and services that are produced within a country per templateXLabel[0] . It is an important indicator of the economic strength of a country .
This graph depicts the templateYLabel[0] templateYLabel[1] templateYLabel[2] for templateTitleSubject[0] games of the National Basketball Association from templateXValue[last] to templateXValue[0] . In the templateXValue[last] season , the templateYLabel[0] templateYLabel[1] templateYLabel[2] was templateYValue[last] templateYLabel[3] templateYLabel[4] .
This statistic displays the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] in selected countries templateTitle[5] templateTitle[6] templateTitle[7] in templateTitleDate[0] . The templateTitle[0] of the templateTitle[2] templateTitle[3] with a total population of templateYValue[max] templateYLabel[2] templateYLabel[3] .
This statistic shows the 20 templateTitle[0] templateTitle[1] the templateTitle[2] templateTitle[3] in templateTitleDate[0] , based on templateTitle[7] templateXLabel[0] . In templateTitleDate[0] , the templateXValue[0] had the templateTitle[0] templateTitleSubject[0] templateTitle[3] with a templateYLabel[0] of templateYValue[max] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateTitle[0] templateTitle[1] templateYLabel[0] of the templateTitleSubject[0] templateTitle[3] templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitle[1] of templateTitleSubject[0] templateTitle[3] templateTitle[4] amounted to templateYValue[min] templateScale templateYLabel[2] templateYLabel[3] .
This statistic presents the 20 templateTitle[0] templateTitle[1] templateXLabel[1] in templateTitleSubject[0] in templateTitleDate[0] , ranked by their templateYLabel[0] templateYLabel[1] . According to the source , it was found that templateXValue[0] had the largest templateYLabel[0] templateYLabel[1] of templateYValue[max] templateYLabel[2] templateYLabel[3] .
The statistic depicts the templateTitle[1] templateYLabel[0] templateYLabel[1] of the templateTitle[4] templateTitle[1] templateTitle[6] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[4] templateTitle[1] templateTitle[2] templateYLabel[0] was at templateYValue[idxmax(X)] templateScale templateYLabel[3] templateYLabel[4] .
This statistic presents the templateYLabel[0] of users of the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] platforms templateTitle[5] templateTitle[6] templateTitle[7] in templateTitleSubject[0] in templateTitleDate[0] . During the survey , it was found that templateYValue[max] templateScale of the templateYLabel[1] stated that they used templateXValue[1] .
This statistic shows the degree of templateTitle[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . templateTitle[0] means the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateYLabel[3] templateYLabel[2] of a country . In templateXValue[max] , templateYValue[idxmax(X)] templateScale of templateTitleSubject[0] 's templateYLabel[3] templateYLabel[2] lived in templateYLabel[1] areas and cities .
This statistic shows the results of a templateTitleDate[0] survey among people aged 16 to 29 years in templateTitleSubject[0] in templateTitleDate[0] . The source defined as the total templateYLabel[0] of people who were templateXValue[1] , with a group that year .
The statistic shows the templateYLabel[0] of the templateTitle[1] templateTitle[2] templateTitle[3] in templateTitleSubject[0] between templateXValue[min] and templateXValue[max] . In templateXValue[max] , the templateYLabel[0] from the templateTitle[1] templateTitle[2] templateTitle[3] amounted to templateYValue[idxmax(X)] templateScale templateYLabel[2] .
This statistic depicts the templateTitle[2] of templateTitleSubject[0] restaurants in the templateTitleSubject[1] templateTitle[5] in templateTitleDate[min] and templateTitleDate[max] . In templateTitleDate[max] , there were templateValue[2][max] templateTitleSubject[0] restaurants in templateValue[0][0] , templateValue[2][1] templateTitle[3] in templateValue[0][1] and templateValue[2][2] templateTitle[3] in templateValue[0][2] .
This statistic shows the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to about templateYValue[6] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
The statistic shows the results of a survey conducted templateTitle[4] the templateTitle[0] of templateTitleSubject[0] . The templateTitle[0] of the templateLabel[5][0] workforce in the United Kingdom ( templateTitleSubject[1] ) from the templateValue[0][0] to templateValue[0][last] , broken down templateTitle[7] templateTitle[8] group stood at templateValue[1][last] British pounds in templateValue[0][last] .
The statistic provides information on the templateTitle[1] templateTitle[2] of templateTitle[0] in templateTitleSubject[0] as of templateTitleDate[0] , sorted by templateXLabel[0] . During the survey period , it was found that templateYValue[1] templateScale of internet users in the templateTitleSubject[1] accessed the templateXValue[last] of templateTitle[1] .
The statistic presents the templateYLabel[0] of the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of the Major League Baseball franchise amounted to templateYValue[idxmax(X)] templateScale templateYLabel[2] dollars.The templateTitleSubject[0] are owned by Mark Attanasio , who bought the franchise for 223 templateScale templateYLabel[2] templateYLabel[3] in templateXValue[2] .
The statistic shows the templateYLabel[0] templateYLabel[1] in the templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . The templateYLabel[0] templateYLabel[1] is calculated using the price templatePositiveTrend of a defined product basket . This product basket contains products and services , on which the average consumer spends money throughout the templateXLabel[0] .
The statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateYLabel[3] of the templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , the average templateYLabel[0] templateYLabel[1] templateTitle[2] templateTitle[3] templateTitle[4] amounted to templateYValue[idxmin(X)] templateYLabel[2] templateYLabel[3] .
The statistic shows the templateTitle[0] of templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , the templateTitle[0] of the templateTitleSubject[0] employees amounted to over templateYValue[3] templateScale templateYLabel[3] .
This statistic shows the results of a templateTitleDate[0] survey among people were using templateTitle[0] . Some templateYValue[0] templateScale of templateYLabel[1] who were templateXValue[0] templateYLabel[3] . The templateXValue[2] with a templateYValue[2] templateScale of people , followed by templateXValue[1] with templateYValue[1] templateScale of templateYLabel[1] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] the United Kingdom ( templateTitleSubject[0] ) as of templateTitleSubject[0] templateTitleDate[0] . According to the source , the templateTitle[0] templateYLabel[0] of the templateXValue[0] stood at templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] .
templateXValue[0] are currently the record for templateTitle[0] templateTitle[1] templateXValue[1] templateTitle[2] templateTitle[5] in the history . templateXValue[0] 's templateTitle[0] templateTitle[1] is currently the most recently with templateYValue[max] times times , followed templateTitle[6] templateXValue[1] with templateYValue[1] in the templateXValue[2] with templateYValue[2] times .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in the United Kingdom ( templateTitleSubject[0] ) in templateTitleDate[0] , templateTitle[7] templateXLabel[0] templateXLabel[1] . With over templateYValue[max] templateScale templateYLabel[3] of templateXValue[0] , the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateYLabel[0] that year .
This statistic shows the templateTitle[0] of templateTitleSubject[0] in the templateTitleSubject[0] templateTitle[3] templateTitle[4] templateValue[0][last] to templateValue[0][0] . templateTitleSubject[0] in the templateTitleSubject[1] , owned by templateTitleSubject[0] in the templateTitleSubject[0] Inc. , had templateValue[2][0] templateLabel[2][0] templateTitle[3] and templateValue[1][0] templateLabel[1][0] templateTitle[3] in templateValue[0][0] .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateYLabel[3] of templateTitle[3] templateTitle[4] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] amounted to templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateTitle[0] of the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in the United Kingdom ( templateTitleSubject[0] ) from templateTitleDate[min] to templateTitleDate[max] . templateValue[0][0] , the average templateTitle[0] of templateLabel[1][0] templateLabel[1][1] in templateLabel[4][0] .
The statistic above shows the templateYLabel[0] templateTitle[1] templateTitle[2] templateYLabel[1] of templateYLabel[2] templateTitle[5] templateTitle[6] templateXValue[min] to templateXValue[max] . In templateXValue[6] , the templateYLabel[0] templateTitle[1] templateTitle[2] templateYLabel[1] of a magazine was templateYValue[6] templateYLabel[2] templateYLabel[3] . Here you can find data on templateYLabel[0] magazine circulation per issue .
The statistic shows the templateYLabel[0] of templateYLabel[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in templateTitleDate[0] , by templateXLabel[0] . In templateXValue[0] , there were templateYValue[max] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in templateXValue[0] .
The statistic shows the templateYLabel[1] in real templateYLabel[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , templateTitleSubject[0] 's real templateTitle[0] templateTitle[1] templateTitle[2] templatePositiveTrend by around templateYValue[6] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic shows the templateTitle[0] templateYLabel[3] of templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in the United Kingdom ( templateTitleSubject[0] ) from templateTitleDate[min] to templateTitleDate[max] . It can be seen that templateXValue[0] , with a templateTitle[0] of templateYValue[max] templateYLabel[2] templateYLabel[3] .
The statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of the Norwegian templateTitle[4] templateTitle[5] templateTitle[6] from templateXValue[min] to templateXValue[max] . The highest templateYLabel[3] ever reached was templateYValue[min] in templateXValue[idxmin(Y)] . Rank templateYValue[max] was the lowest result of the templateTitle[6] , which was reached in templateXValue[idxmax(Y)] .
The statistic shows a ranking of the templateTitle[3] templateTitle[4] templateTitle[5] at the templateTitleDate[0] FIFA templateTitle[7] templateTitle[8] in templateXValue[5] by templateYLabel[0] templateYLabel[2] of players . The templateYLabel[0] templateYLabel[2] of the templateXValue[26] squad for the templateTitle[7] templateTitle[8] in templateXValue[5] is templateYValue[26] templateYLabel[3] . templateYLabel[0] templateYLabel[1] templateYLabel[2] of the templateTitleDate[0] templateTitle[7] templateTitle[8] squads - additional information There were a total of 736 players across 32 templateTitle[5] in the templateTitle[7] templateTitle[8] , picked from domestic leagues in 52 countries .
This statistic shows the templateTitle[0] of templateTitle[1] templateTitle[2] templateTitle[3] the templateTitle[4] to templateXValue[0] in templateTitleDate[0] , templateTitle[7] templateTitle[8] . According to the source , templateXValue[0] generated approximately approximately templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] in templateTitleDate[0] .
This statistic shows the templateTitle[0] templateTitle[1] templateYLabel[0] of the templateTitle[2] templateXValue[4] , based on templateTitle[4] templateYLabel[0] templateYLabel[1] templateYLabel[2] . According to the source , templateXValue[0] was the ranking with a templateYLabel[0] templateYLabel[1] of templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] .
This statistic shows the templateScale of online consumers in the templateTitle[0] who were using templateTitleSubject[0] between templateValue[0][last] and templateValue[0][0] , sorted templateTitle[7] group . In templateValue[0][0] , templateValue[1][min] templateScale of templateTitleSubject[0] dollars aged 18 to 29 years old were employed in the templateTitle[7] .
This statistic shows the templateYLabel[0] of templateYLabel[2] templateYLabel[3] of templateTitle[2] in templateTitleSubject[0] in templateTitleDate[0] , based on reach . During the survey period , it was found that templateXValue[0] was ranked first with a total of templateYValue[max] templateScale templateYLabel[3] .
This statistic provides a ranking of the templateTitle[0] templateTitle[1] templateTitle[2] in templateTitleSubject[0] in templateTitleDate[0] , based on the templateYLabel[0] of across across the last templateYValue[3] times . The second place with templateYValue[1] templateYLabel[1] , of this figure that year .
This graph shows the number of people that finding the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in templateTitleSubject[0] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][5] , there were templateValue[1][0] templateLabel[1][0] templateTitle[2] templateTitle[3] templateTitle[4] in the templateTitle[5] .
This statistic shows the gross domestic product ( templateYLabel[0] ) of templateTitleSubject[0] in templateTitleDate[0] , templateTitle[4] templateXLabel[0] . In templateTitleDate[0] , the templateYLabel[0] of the templateXValue[4] templateXLabel[0] in templateTitleSubject[0] was 50.72 templateScale templateYLabel[2] templateYLabel[3] templateYLabel[4] templateYLabel[5] .
This statistic shows the templateYLabel[0] of recreational templateYLabel[1] to the templateTitleSubject[0] Memorial in the templateTitle[5] from templateXValue[min] to templateXValue[max] . The templateYLabel[0] of templateYLabel[1] to the templateTitleSubject[0] Memorial amounted to approximately templateYValue[0] templateYValue[idxmax(X)] in templateXValue[max] .
This statistic presents the templateYLabel[0] templateYLabel[1] templateYLabel[2] worldwide in templateTitleDate[0] , templateTitle[5] templateTitle[6] . According to the source , the templateXValue[0] held the largest templateYLabel[2] of the world templateTitle[1] , with templateYValue[max] templateYLabel[2] .
In financial templateXLabel[1] templateXValue[0] , the templateTitle[0] templateTitle[1] templateTitle[2] ( templateYLabel[0] ) in the templateTitleSubject[0] amounted to over templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] templateYLabel[4] . This was the second largest templateTitle[4] accounted for over ten templateScale of the world 's population . It is estimated that the country that the largest alone .
This statistic shows the estimated templateTitle[0] templateTitle[1] templateTitle[2] of templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] templateTitle[7] in the United Kingdom ( templateTitleSubject[0] ) from templateTitleDate[min] to templateTitleDate[max] . In templateTitleDate[min] , the templateTitle[0] templateValue[1][0] templateScale of respondents said that they had a templateLabel[1][0] templateLabel[1][1] templateLabel[1][2] templateLabel[1][3] .
The statistic shows the templateYLabel[0] of the templateYLabel[1] of the templateYLabel[2] templateTitle[4] templateXValue[min] to templateXValue[max] . In templateXValue[max] , the data from the templateTitle[0] of the templateTitleSubject[0] amounted to templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
The statistic shows the templateYLabel[0] of new templateTitle[0] cars templateYLabel[2] in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . According to the report , there were a total of templateYValue[0] templateScale templateYLabel[1] in templateYLabel[2] in templateXValue[max] .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at approximately templateYValue[idxmax(X)] templateScale .
The statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] and templateXValue[max] . According to the source , the data are ILO estimates . In templateXValue[max] , the estimated templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] was at templateYValue[idxmax(X)] templateScale .
The statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the templateYLabel[0] templateYLabel[1] in the templateTitleSubject[0] was at around templateYValue[6] templateScale templateYLabel[3] templateYLabel[4] .
This statistic illustrates the monthly templateYLabel[0] templateYLabel[1] of the templateTitle[1] manufacturer templateTitleSubject[0] in the templateTitleSubject[1] ( UK ) between 2016 and 2019 . The company 's templateYLabel[0] templateYLabel[1] has gradually templateNegativeTrend from in this time period from templateYValue[29] templateScale in 2016 to templateYValue[0] templateScale in 2019 . templateTitleSubject[0] is one of the leading templateTitle[1] manufacturers in the UK .
This graph depicts the total/average regular season templateTitle[5] templateTitle[6] of the templateTitleSubject[0] templateTitle[4] franchise of the templateTitleSubject[0] League from the templateValue[0][last] season to the templateValue[0][0] season . In templateValue[0][0] , the templateLabel[1][0] regular season templateTitle[5] templateTitle[6] of the franchise was templateValue[1][0] .
This statistic shows the templateTitle[1] templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , about templateYValue[idxmax(X)] templateScale of templateTitleSubject[0] 's templateYLabel[1] lived below the templateTitle[1] line .
The statistic shows the templateYLabel[0] of the templateYLabel[2] templateYLabel[3] templateTitle[4] templateYLabel[3] between templateXValue[min] and templateXValue[max] . In templateXValue[max] , the data from the templateTitle[0] of the templateTitleSubject[0] was templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at approximately templateYValue[idxmax(X)] templateScale .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[2] templateTitle[3] templateTitle[4] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In the most recently reported period , the templateTitle[0] templateYLabel[0] templateYLabel[1] of templateTitle[2] amounted to templateYValue[0] templateYValue[idxmax(X)] templateYLabel[3] templateYLabel[4] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[7] distribution of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] amounted to approximately templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
The statistic shows the templateYLabel[0] templateYLabel[1] in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] , templateYLabel[2] to the templateYLabel[3] templateXLabel[0] . In templateXValue[max] , the templateYLabel[0] in the templateTitleSubject[0] templatePositiveTrend by approximately templateYValue[idxmax(X)] templateScale .
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 . The rise of templateTitle[0] in templateTitleSubject[0] The success story of messaging service templateTitle[0] , a Japanese subsidiary of South Korean internet powerhouse Naver , started back in 2011 during the Great East templateTitleSubject[0] Earthquake .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[0] templateTitle[1] templateTitleSubject[0] templateTitle[3] from templateTitleDate[min] to templateTitleDate[max] . In templateTitleDate[max] , the templateTitle[0] templateYLabel[0] templateYLabel[1] was templateYValue[0] templateYLabel[2] templateYLabel[3] .
The templateTitle[0] templateTitle[1] at templateTitle[2] templateTitle[3] in templateTitleSubject[0] templatePositiveTrend among both templateLabel[1][0] and templateLabel[2][0] during the period from templateValue[0][last] to templateValue[0][0] . The templateTitle[0] templateTitle[1] at templateTitle[2] templateTitle[3] among templateLabel[2][0] templatePositiveTrend templateTitle[7] 1.5 years during the ten-year period and was templateValue[2][0] years in templateValue[0][0] . Among templateLabel[1][0] , the templateTitle[1] templatePositiveTrend was not as large as for templateLabel[2][0] .
This statistic shows the templateYLabel[0] of templateYLabel[1] of templateTitleSubject[0] worldwide from templateXValue[min] to templateXValue[max] . The templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] employees amounted to approximately templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] in templateXValue[idxmax(Y)] .
This statistic presents the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in templateTitleSubject[0] as of 2019 , based on templateYLabel[0] templateYLabel[1] . According to the source , templateXValue[0] was ranked first with a total of templateYValue[max] templateYLabel[2] templateYLabel[3] of templateXValue[idxmax(Y)] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . The templateYLabel[0] templateYLabel[1] is the templateYLabel[1] that divides a templateTitle[2] into two numerically equal groups ; that is , half the people are younger than this templateYLabel[1] and half are older . It is a single index that summarizes the templateYLabel[1] distribution of a templateTitle[2] .
This statistic displays the breakdown of templateTitle[0] templateTitle[1] templateYLabel[0] in the templateTitleSubject[0] in templateTitleDate[0] , based on sales . In this year , the templateXValue[0] accounted for over templateYValue[max] templateScale of all templateYLabel[2] in the templateTitleSubject[1] .
This statistic displays the templateTitle[0] templateYLabel[0] in the templateTitle[1] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , about templateYValue[idxmax(X)] templateScale templateYLabel[2] templateYLabel[3] of templateTitle[0] templateTitle[1] were produced .
This statistic shows the templateTitle[0] templateTitle[1] of templateTitleSubject[0] in the templateTitle[4] from templateValue[0][last] to templateValue[0][0] , templateTitle[5] templateTitle[6] . In templateValue[0][0] , templateTitleSubject[0] generated approximately templateValue[2][0] templateScale U.S. dollars in templateTitle[2] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateYLabel[3] of templateTitleSubject[0] worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the average templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] was templateYValue[idxmax(X)] templateYLabel[3] templateYLabel[4] templateYLabel[5] . The highest in this statistic shows the templateYLabel[0] templateYLabel[1] of templateYLabel[3] was valued at templateYValue[max] templateYLabel[2] templateYLabel[3] .
This statistic presents the templateYLabel[0] of templateYLabel[1] of the templateTitleSubject[0] worldwide from templateXValue[min] to templateXValue[max] . As of the most recently reported period , the templateYLabel[0] of the templateTitleSubject[0] was templateYValue[max] templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
This statistic presents the templateTitle[0] templateTitle[1] average templateXValue[0] on templateXValue[0] in the United Kingdom ( templateTitleSubject[0] ) as of 2019 . The templateXValue[0] , templateXValue[0] was ranked first with a score of templateYValue[max] templateYLabel[2] templateYLabel[3] .
The statistic shows the templateTitle[1] templateYLabel[0] of the templateTitle[0] between templateXValue[min] and templateXValue[max] . In templateXValue[3] , the templateTitle[0] of the templateTitleSubject[0] amounted to templateYValue[3] templateScale templateYLabel[2] templateYLabel[3] .
The statistic shows the templateTitle[0] of the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in the templateTitle[5] from templateTitleDate[min] to templateTitleDate[max] . The templateTitle[0] of the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in templateTitleDate[0] was templateValue[1][0] U.S. dollars .
In templateTitleSubject[0] templateTitleDate[0] , the templateTitle[0] templateYLabel[0] templateYLabel[1] templateYLabel[2] in the templateXValue[0] templateXValue[last] stood at 0.807 templateYLabel[3] templateYLabel[4] templateYLabel[1] templateYLabel[2] . In the templateXValue[0] in the same month , the templateYLabel[0] stood at 1.704 templateYLabel[3] templateYLabel[4] templateYLabel[1] templateYLabel[2] . This data concerns the templateYLabel[0] of automotive templateTitle[0] ( for non-commercial use ) templateYLabel[1] templateYLabel[2] in templateTitle[4] templateTitle[5] .
The statistic shows the templateYLabel[0] of the templateTitle[2] population in the templateTitle[0] from templateTitleDate[min] to templateTitleDate[max] . The templateYLabel[0] of the templateTitle[2] amounted to templateYValue[max] templateScale in templateXValue[idxmax(Y)] .
This statistic shows the results of a templateTitleDate[0] survey among American templateValue[0][0] in the United Kingdom ( templateTitleSubject[0] ) from templateValue[0][0] to templateValue[0][last] . The share of the workforce in this age group group between the ages of templateLabel[1][1] to templateValue[0][0] .
The statistic shows the total templateYLabel[0] of the templateTitle[1] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[1] templateTitle[2] templateYLabel[0] amounted to roughly templateYValue[idxmax(X)] templateScale templateYLabel[2] .
As of the fourth templateXLabel[0] of templateTitleDate[0] , the templateTitle[0] templateYLabel[3] of templateTitleSubject[0] templateTitle[2] templateTitle[3] templateTitleSubject[0] reported templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] . The second templateXLabel[0] of templateXValue[4] was the templateTitle[7] with templateYValue[4] templateScale templateYLabel[2] templateYLabel[3] in the United Kingdom , up from templateYValue[4] templateScale in the second templateXLabel[0] of templateTitleDate[max] .
The statistic shows the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[6] in templateTitle[3] to the templateTitle[4] templateTitle[5] templateTitle[6] ( templateYLabel[3] ) , with projections up until templateXValue[max] . The figures refer to the whole country and include the debts of the state , the communities , the municipalities and the social insurances . In templateXValue[6] , the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] amounted to an estimate of approximately templateYValue[6] templateScale of the templateYLabel[3] .
The statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[6] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at templateYValue[min] templateScale .
This statistic gives information on the templateTitle[0] templateTitleSubject[0] templateTitle[2] templateYLabel[0] from 2011 to 2019 . During the last measured period , the mobile app had a templateYLabel[0] of templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] . The templateTitleSubject[0] – additional information The templateTitleSubject[0] is one of the most popular social network that is part of the internet users worldwide .
The statistic shows the templateYLabel[0] of the templateYLabel[2] templateYLabel[3] templateTitle[4] of goods and services from templateXValue[min] to templateXValue[max] . According to the source , the templateTitle[0] of templateYLabel[2] in templateTitleSubject[0] reached approximately templateYValue[2] templateScale templateYLabel[2] templateYLabel[3] .
The statistic shows the templateYLabel[1] in real templateYLabel[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , templateTitleSubject[0] 's real templateTitle[0] templateTitle[1] templateTitle[2] templatePositiveTrend by around templateYValue[6] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[0] templateTitleSubject[0] from the templateXValue[last] to templateXValue[0] . As of the last reported period , the templateTitle[0] of templateXValue[0] amounted to templateYValue[max] thousand templateYLabel[3] .
This statistic provides a comparison of the average amount of time templateTitle[4] on templateTitle[5] housework by gender in templateTitleSubject[0] member templateTitle[8] as well as templateValue[0][21] , templateValue[0][2] and templateValue[0][12] . As of templateTitleDate[0] , Portuguese men templateTitle[4] templateValue[1][3] templateTitle[1] templateTitle[2] templateTitle[3] on unpaid templateTitle[6] on templateTitle[0] while for women the templateTitle[0] was templateValue[2][3] templateTitle[1] .
This statistic shows the average templateYLabel[0] of the templateTitle[1] templateTitle[2] in the templateTitle[0] in templateTitleDate[0] , templateTitle[7] on templateXLabel[0] . In that year , the templateXValue[0] accounted for templateYValue[max] templateScale of the total templateYLabel[0] of the templateTitleSubject[0] .
This statistic shows the templateTitle[0] templateYLabel[0] of the templateTitle[2] in the templateTitleSubject[0] in templateTitleDate[0] . The templateTitle[0] templateYLabel[0] of templateYLabel[1] that year was templateXValue[0] , with over templateYValue[max] templateScale templateYLabel[3] .
As of 2019 , it was found that templateYValue[max] templateScale of people living in templateTitle[2] on the templateTitle[4] templateTitle[5] in the templateTitleSubject[0] . A further templateYValue[1] templateScale of templateYLabel[1] claimed that they templateXValue[0] on the social network .
The statistic presents the templateYLabel[0] of the templateTitle[1] templateTitle[2] templateTitle[4] from templateXValue[min] to templateXValue[max] . According to the source , the templateTitle[0] templateTitle[1] templateTitle[2] templateNegativeTrend by templateYValue[idxmin(X)] templateScale templateYLabel[2] templateYLabel[3] in templateXValue[idxmin(Y)] .
This statistic presents the templateTitle[0] networking reach in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , templateYValue[idxmin(X)] templateScale of the templateYLabel[1] in the country accessed templateTitle[0] templateTitle[1] . In templateXValue[4] , this templateYLabel[0] is projected to reach templateYValue[4] templateScale .
The statistic presents the templateYLabel[0] templateYLabel[1] of templateTitle[0] templateTitle[1] templateTitle[2] in the templateTitle[4] in templateTitleDate[0] , templateTitle[5] templateXLabel[0] . According to the source , templateXValue[0] accounted for over templateYValue[max] templateScale of all templateYLabel[2] in the templateTitle[4] in templateTitleDate[0] .
This statistic gives information on the most popular templateXValue[5] templateTitle[1] worldwide as of 2019 . During the measured period , templateXValue[0] had the most popular templateXValue[5] templateXValue[0] with over templateYValue[max] templateScale templateYLabel[1] worldwide .
The graph shows the templateYLabel[1] of the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in the templateTitle[5] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , around templateValue[1][0] templateScale of the templateTitle[2] templateTitle[3] templateTitle[4] were employed in the templateTitle[6] .
This statistic shows the worldwide templateYLabel[0] for templateTitle[2] sponsorship from templateXValue[min] to templateXValue[max] . In templateXValue[3] , templateTitleSubject[0] spendings on templateTitle[2] templateTitle[3] amounted to templateYValue[3] templateScale templateYLabel[2] templateYLabel[3] .
As of 2019 , it was found that templateXValue[0] had the highest templateYLabel[0] of any templateTitle[0] with templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] . The templateXValue[last] of people from followed by templateXValue[1] with templateYValue[1] templateScale of employees . The templateXValue[last] statistic presents presents the photo sharing sharing app had .
This graph shows the templateTitle[1] templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , about templateYValue[idxmax(X)] templateScale of templateTitleSubject[0] 's templateYLabel[1] lived below the templateTitle[1] line .
This statistic shows the estimated templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitleSubject[0] in templateTitleDate[0] . In templateTitleDate[0] , templateXValue[0] were the UK 's most important templateTitle[1] partner with a templateYLabel[0] of templateYValue[max] templateScale of templateYLabel[1] templateYLabel[2] .
The statistic shows the total templateYLabel[0] of the templateTitle[1] templateTitle[2] in the templateTitle[5] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[1] templateTitle[2] had an estimated templateYLabel[0] of templateYValue[idxmax(X)] templateScale templateYLabel[3] templateYLabel[4] .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] ( templateYLabel[0] ) templateYLabel[1] templateYLabel[2] in the templateTitleSubject[0] from templateXValue[min] to templateXValue[7] , with projections up until templateXValue[max] . templateYLabel[0] is the total value of all goods and services produced in a templateXLabel[0] . It is considered to be a very important indicator of the economic strength of a country .
This statistic shows the total templateYLabel[0] of the templateTitle[1] templateTitleSubject[0] between 2018 and 2019 , based on a templateYLabel[1] of templateYValue[0] templateScale compared to the previous templateXLabel[0] . The templateTitleSubject[0] is a four largest manufacturer of goods and services produced in 2019 .
This statistic gives information on the templateTitle[0] templateTitle[1] templateTitle[2] in the templateTitle[4] from templateTitleDate[min] to templateTitleDate[max] . In templateTitleDate[max] , the templateTitle[0] templateTitle[1] of templateTitle[2] in the templateTitle[4] was templateYValue[last] templateTitle[4] . The templateTitle[0] templateTitle[1] of the templateTitleSubject[0] templateTitle[3] – additional information As of templateTitleDate[max] , the templateTitle[4] was templateYValue[last] templateTitle[4] .
This statistic shows the results of a survey among templateTitleSubject[0] regarding their templateTitle[2] . During the survey period , it was found that templateYValue[max] templateScale of the templateYLabel[1] stated that they are templateXValue[0] of the templateTitle[0] .
The statistic shows the templateYLabel[0] templateYLabel[1] at templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the average templateYLabel[0] templateYLabel[1] at templateYLabel[2] in templateTitleSubject[0] was templateYValue[idxmax(X)] templateYLabel[3] .
This graph depicts the templateYLabel[0] templateYLabel[1] templateYLabel[2] for templateTitleSubject[0] games in Major League Baseball from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] templateYLabel[2] was at templateYValue[idxmax(X)] templateYLabel[3] templateYLabel[4] .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the United Kingdom ( templateTitleSubject[0] ) from templateTitleDate[min] to templateTitleDate[max] . In templateTitleDate[max] , the average templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[3] of the templateTitleSubject[0] was held templateTitle[9] with an average of templateValue[1][0] Canadian dollars .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[3] templateTitle[4] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] was approximately templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at approximately templateYValue[idxmax(X)] templateScale .
This statistic shows the templateTitle[0] of templateTitle[1] templateTitle[2] templateTitle[3] in the templateTitleSubject[0] ( templateTitleSubject[1] ) from templateTitleDate[min] to templateTitleDate[max] . The templateTitle[0] of the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] was templateXValue[0] , with templateYValue[0] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in selected countries templateTitle[5] templateTitle[6] templateTitle[7] in templateTitleDate[0] . The templateTitle[0] of the templateTitle[2] templateTitle[3] templateTitle[4] was templateXValue[0] , with a templateYLabel[0] of templateYValue[max] templateYLabel[2] templateYLabel[3] .
This graph depicts the templateYLabel[0] templateTitle[1] templateTitle[2] templateTitle[3] templateYLabel[1] of the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] at templateTitle[3] games of the templateTitleSubject[0] was templateYValue[0] templateYValue[idxmax(X)]
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] in the templateTitle[3] in templateTitleDate[0] , templateXValue[0] on templateTitle[4] templateYLabel[0] templateYLabel[1] . In that year , the templateTitle[0] of templateXValue[7] was templateXValue[0] with a templateYLabel[0] of templateYValue[max] templateYLabel[2] templateYLabel[3] , followed by templateXValue[1] with just over templateYValue[1] templateScale templateYLabel[3] .
This statistic presents the templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateYLabel[3] in the templateTitle[0] in templateTitleDate[0] , templateTitle[7] templateTitle[8] . According to the survey , it was found that templateYValue[1] templateScale of templateYLabel[1] templateYLabel[2] templateYLabel[3] in the templateTitle[4] group stood at templateXValue[1] .
This statistic shows the degree of templateTitle[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . templateTitle[0] means the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateYLabel[3] templateYLabel[2] of a country . In templateXValue[max] , templateYValue[idxmax(X)] templateScale of templateTitleSubject[0] 's templateYLabel[3] templateYLabel[2] lived in templateYLabel[1] areas and cities .
The statistic shows the templateYLabel[0] of the templateTitle[1] templateTitle[2] in the templateTitleSubject[0] in templateTitleDate[0] , templateTitle[6] templateXLabel[0] . In templateTitleDate[0] , the templateYLabel[0] of the templateTitleSubject[0] templateTitle[1] amounted to templateYValue[min] templateScale templateYLabel[2] templateYLabel[3] .
The timeline shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[5] in the templateTitle[0] from templateXValue[min] to templateXValue[max] . According to the report , the templateTitleSubject[0] templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[5] amounted to templateYValue[idxmax(X)] templateYLabel[3] in templateXValue[max] .
The number of templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] has templatePositiveTrend steadily in recent years , and is expected to keep templatePositiveTrend until at least templateXValue[max] . By templateXValue[max] , there will be an expected templateYValue[idxmax(X)] templateScale templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] . Smartphones : reduced barriers to ownership Just as they reach a higher share of the global population , smart phones also ( there is an `` are '' missing in between those two ) becoming more accessible .
This statistic shows the templateTitle[0] of the templateTitle[1] templateTitle[2] templateTitle[3] in the United Kingdom ( templateTitleSubject[0] ) from templateValue[0][last] to templateValue[0][0] , templateTitle[7] templateTitle[8] . The average templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] is expected to grow to templateValue[1][0] British pounds in templateValue[0][0] .
In the third templateXLabel[0] of templateTitleDate[max] , the social network templateTitleSubject[0] generated more than templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] in templateTitle[2] , up from templateYValue[4] templateScale templateYLabel[3] in the corresponding templateXLabel[0] in the previous templateXLabel[0] . The number of monthly templateTitle[2] templateYLabel[3] in Japan during this quarter amounted to approximately 83 templateScale people .
This statistic shows the templateTitle[0] templateYLabel[0] templateTitle[2] templateTitle[3] templateTitle[4] in the templateTitle[5] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitle[4] resulted in approximately templateYValue[idxmax(X)] templateScale templateYLabel[2] templateYLabel[3] worth of templateYLabel[0] across the templateTitle[5] .
The statistic gives information on the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[4] templateTitle[2] templateTitle[4] as of 2019 , sorted templateTitle[6] templateTitle[7] . According to the survey , it was found that templateValue[1][0] templateScale of respondents stated that templateValue[2][0] templateScale of people living .
This statistic presents the distribution of templateTitle[1] templateTitle[2] in templateTitleSubject[0] in templateTitleDate[0] , broken down templateTitle[7] templateTitle[8] . According to the survey , templateYValue[max] templateScale of responding responding templateTitleSubject[0] was templateXValue[0] with templateYValue[1] templateScale of the templateYLabel[1] that year .
This graph depicts the average templateScale of the templateTitleSubject[0] templateTitle[2] participating in templateTitle[4] , templateTitle[5] and recreational activities templateTitle[6] templateTitle[7] by gender from templateValue[0][last] to templateValue[0][0] . According to the source , templateValue[2][0] templateScale of templateLabel[2][0] participated in templateTitle[4] , templateTitle[5] and recreational activities every templateTitle[7] in templateValue[0][0] .
This statistic gives information on the templateTitle[0] templateTitle[1] templateYLabel[0] in different counties across the templateTitle[4] as of templateTitleDate[0] . At this time there were around templateYValue[max] templateScale of all templateYLabel[2] in templateXValue[0] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the National Football League ( templateTitleSubject[0] ) from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] amounted to approximately templateYValue[idxmax(X)] templateScale templateYLabel[3] .
This statistic shows the templateTitle[1] templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , about templateYValue[idxmax(X)] templateScale of templateTitleSubject[0] 's templateYLabel[1] lived below the templateTitle[1] line .
This statistic shows the distribution of templateYLabel[2] templateYLabel[3] in templateXLabel[0] templateTitle[4] in templateTitleDate[0] , templateTitle[5] templateTitle[6] . According to the survey findings , it was found that templateXValue[3] had a templateTitle[1] of templateYValue[3] templateScale in the templateXValue[5] .
The statistic shows the templateTitle[0] templateYLabel[0] of templateTitleSubject[0] worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateYLabel[0] templateTitle[2] in templateTitleSubject[0] amounted to about templateYValue[idxmax(X)] templateScale templateYLabel[2] templateYLabel[3] .
This statistic displays the templateTitle[0] of templateTitle[1] templateTitle[2] templateTitle[3] per day in the templateTitleSubject[0] between templateTitleDate[min] and templateTitleDate[max] , templateTitle[8] templateTitle[9] . In this templateYValue[min] templateXLabel[0] period , individuals aged between 11 and 18 templateXValue[0] old templateTitle[3] templateYValue[max] templateYLabel[1] of templateTitle[1] templateTitle[2] per day .
As of 23rd 2020 , templateXValue[0] is the templateTitle[8] templateTitle[9] leader in templateYLabel[0] templateYLabel[1] for the templateTitle[1] templateTitle[2] team of templateTitleSubject[0] templateTitle[4] a total of templateYValue[max] templateYLabel[0] templateYLabel[1] , followed rather closely by templateXValue[1] with templateYValue[1] templateYLabel[0] . templateXValue[1] has passed away back in 1979 and templateXValue[0] retired from the templateTitle[1] already back in 1974 so these records are exceptionally old . templateTitleSubject[0] not at World Cup 2018 As templateTitleSubject[0] is generally a very prominent country for templateTitle[2] and even part of the Big Five , which are the biggest templateTitle[2] league market countries ( England , Germany , Spain , templateTitleSubject[0] .
The statistic shows the distribution of templateTitle[0] in templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , templateValue[1][0] templateScale of the employees in templateTitleSubject[0] were active in the agricultural templateTitle[3] , templateValue[2][0] templateScale in templateLabel[2][0] and templateValue[3][0] templateScale in the service templateTitle[3] .
The statistic shows templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) denotes the aggregate value of all services and goods produced within a country in any given templateXLabel[0] . templateTitle[3] is an important indicator of a country 's economic power .
This statistic shows the degree of templateTitle[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . templateTitle[0] means the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateYLabel[3] templateYLabel[2] of a country . In templateXValue[max] , templateYValue[idxmax(X)] templateScale of templateTitleSubject[0] 's templateYLabel[3] templateYLabel[2] lived in templateYLabel[1] areas and cities .
The statistic shows the templateYLabel[1] in real templateYLabel[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , templateTitleSubject[0] 's real templateTitle[0] templateTitle[1] templateTitle[2] templatePositiveTrend by around templateYValue[6] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateYLabel[3] templateTitle[4] templateTitle[7] of the templateTitle[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the average templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] was templateYValue[max] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] of templateTitleSubject[0] templateYLabel[1] templateTitle[3] from templateXValue[last] to templateXValue[0] . As of the third quarter of templateTitleDate[0] , there were templateYValue[max] templateYLabel[1] worldwide .
This statistic shows the templateTitle[0] templateYLabel[0] templateYLabel[1] of the United Kingdom ( templateTitleSubject[0] ) from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] was templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This statistic shows the templateYLabel[0] of the templateYLabel[1] of the templateYLabel[2] templateTitle[4] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . The templateYLabel[0] of the templateYLabel[1] that templateXLabel[0] was templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
The statistic illustrates the templateYLabel[0] of templateYLabel[1] of the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateXValue[min] to templateXValue[max] . According to the source , the templateYLabel[0] of the templateTitle[1] templateTitle[2] templateNegativeTrend by over 4 templateScale .
This statistic shows the templateTitle[0] templateYLabel[0] templateYLabel[1] of the templateYLabel[3] templateTitle[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] of the templateTitle[3] templateTitle[4] templateXValue[0] in templateTitleDate[0] . The templateXValue[0] , with the largest templateYLabel[0] of the templateTitleSubject[0] with over templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] .
This statistic presents the distribution of users in the templateTitle[0] who have used templateTitle[2] templateXValue[last] as of 2017 . During the survey , it was found that templateYValue[max] templateScale of templateYLabel[1] stated that they watched templateTitle[0] videos templateXValue[0] a templateXValue[last] .
This statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] for templateTitle[4] templateTitle[5] in the National Football League from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the CPI was templateYValue[idxmax(X)] templateYLabel[1] templateYLabel[2] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] ( templateYLabel[0] ) in templateTitleDate[0] , sorted templateTitle[4] templateXLabel[0] . In templateTitleDate[0] , the templateXValue[0] generated approximately templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] of templateYLabel[4] in templateYLabel[0] .
As of 2019 , it was templateXValue[0] , with over templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] of employees , making it the templateTitle[0] of the templateXValue[2] with , and templateXValue[2] were templateXValue[7] or templateXValue[2] . According to the survey , the templateTitle[0] of all time . What is the people of people .
This statistic depicts the templateTitle[0] templateYLabel[0] of templateYLabel[1] in the templateTitleSubject[0] ( templateTitleSubject[1] ) from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were approximately templateYValue[idxmax(X)] thousand templateYLabel[1] in templateTitleSubject[0] .
This statistic shows the templateYLabel[0] of templateYLabel[1] of templateTitleSubject[0] worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the company 's templateYLabel[0] templateYLabel[1] amounted to templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
The statistic depicts the annual templateTitle[1] templateYLabel[0] of smartphones in the templateTitle[0] from templateXValue[min] to templateXValue[max] . In templateXValue[3] , the templateYLabel[0] of templateYLabel[1] of templateTitle[1] amounted to templateYValue[3] templateScale templateYLabel[2] templateYLabel[3] .
This statistic shows the templateTitle[0] templateTitle[1] of the templateTitleSubject[0] templateTitle[3] from templateValue[0][0] to templateValue[0][last] , sorted templateTitle[5] templateTitle[6] . In the second templateLabel[0][0] of templateValue[0][6] , the 16 templateScale of templateTitle[1] were templateLabel[2][0] in the templateTitleSubject[0] .
This statistic shows the templateTitle[0] templateTitle[1] templateYLabel[0] of the templateTitle[3] in templateTitleSubject[0] in templateTitleDate[0] , templateTitle[7] templateTitle[8] . The templateTitle[0] templateTitle[1] templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] stood at templateYValue[2] templateYLabel[3] templateYLabel[4] in templateTitleDate[0] .
The statistic gives information on the templateTitle[0] templateTitle[1] templateTitle[2] of employees in the templateTitle[4] from templateTitleDate[min] and templateTitleDate[max] . During the survey period , it was found that templateValue[2][0] templateScale of employees employees on templateValue[0][0] .
The statistic depicts the templateYLabel[0] of the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of the Major League Baseball franchise amounted to templateYValue[idxmax(X)] templateScale templateYLabel[2] dollars.The templateTitleSubject[0] are owned by Ken Kendrick , who bought the franchise for 238 templateScale templateYLabel[2] templateYLabel[3] in templateXValue[14] .
This statistic shows the templateYLabel[0] of the templateTitle[1] templateTitle[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[0] amounted to approximately templateYValue[idxmax(X)] thousand templateYLabel[2] templateYLabel[3] .
In templateValue[0][0] , the templateTitle[2] of templateTitle[0] templateTitle[1] in templateTitleSubject[0] amounted to nearly templateValue[2][0] templateScale U.S. dollars . This was an templatePositiveTrend of GDP per templateScale U.S. dollars in templateValue[0][last] . The forecast is projected to grow to about templateValue[2][0] templateScale U.S. dollars in templateValue[0][0] .
The statistic shows the templateYLabel[0] of the employees of the templateTitle[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] of the templateTitleSubject[0] amounted to templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateYLabel[0] templateYLabel[1] in the United Kingdom ( templateTitleSubject[0] ) from templateTitleDate[min] to templateTitleDate[max] , in templateScale templateYLabel[3] templateYLabel[4] templateYLabel[5] templateYLabel[6] . In the first templateXLabel[0] of templateTitleDate[max] , the templateTitle[2] templateTitle[3] templateTitle[4] templateYLabel[0] templateYLabel[1] templatePositiveTrend to templateYValue[max] templateScale templateYLabel[3] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] of templateTitle[4] in templateTitleSubject[0] from templateTitleDate[min] to templateTitleDate[max] . In templateTitleDate[max] , the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] of templateTitle[4] in templateTitleSubject[0] was templateValue[5][0] templateScale .
This statistic gives information on the templateTitle[0] templateTitle[1] templateTitle[2] templateXValue[last] as of 2019 , based on sales . As of that month , templateXValue[0] accounted for templateYValue[max] templateScale of all templateYLabel[2] templateYLabel[3] in the templateTitle[4] .
This statistic shows the templateYLabel[0] of the templateYLabel[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] of templateTitleSubject[0] stood at approximately templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
This statistic gives information on the templateScale of templateTitle[1] of the templateTitle[0] in templateTitleDate[0] , templateTitle[7] templateTitle[8] . During the survey period , it was found that templateTitle[7] templateValue[0][0] accounted for templateValue[1][0] templateScale of the templateTitle[0] in the templateTitleSubject[0] .
In the last measured templateXLabel[0] , The templateTitleSubject[0] Company generated templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] in templateYLabel[0] . templateTitleSubject[0] 's first fiscal templateXLabel[0] of templateTitleDate[max] was a strong one , which the templateTitleSubject[0] partially attributed to the success of its new streaming service , templateTitleSubject[0] Plus ( stylized as Disney+ ) . The templateTitleSubject[0] Company : financial dataDisney 's templateTitle[3] net income often varies wildly throughout each fiscal year , sometimes surpassing four or five templateScale templateYLabel[2] templateYLabel[3] and other times dipping below one templateScale .
This statistic shows the templateYLabel[0] of templateYLabel[1] applications in the templateTitle[0] templateTitleSubject[0] Store from 2009 to 2019 . The templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitle[0] templateTitleSubject[0] Store was most recently placed at templateYValue[0] templateScale templateYLabel[2] , after surpassing templateYValue[17] templateScale templateYLabel[2] in 2013 . templateTitle[0] templateTitleSubject[0] was originally launched in October 2008 under the name Android Market .
The statistic presents the templateTitle[2] of people in the templateTitle[2] in templateTitleDate[0] , based on templateTitle[4] templateYLabel[0] templateYLabel[1] . According to the source , templateXValue[0] was the templateTitle[2] network , with templateYValue[max] templateScale of templateYLabel[1] templateYLabel[3] , followed by templateXValue[1] with templateYValue[1] templateScale templateYLabel[3] templateYLabel[4] .
This statistic shows the templateTitle[0] of templateTitle[1] templateYLabel[0] in templateTitleSubject[0] from templateTitleDate[min] to templateTitleDate[max] . In templateTitleDate[max] , the templateTitle[0] of templateTitle[1] templateYLabel[0] in templateTitleSubject[0] was templateYValue[min] templateScale . templateTitle[0] templateYLabel[0] is one of the world .
This statistic shows the change in templateTitle[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , it is expected that templateYValue[5] templateScale of the templateTitleSubject[0] will be accessing the social network .
This statistic shows the 20 templateTitle[0] templateTitle[1] in the templateTitleSubject[0] as of 2014 , templateTitle[4] templateXLabel[0] . As of templateTitleDate[0] , templateXValue[0] was the templateTitle[0] templateTitle[1] templateXLabel[0] templateXLabel[1] templateXValue[0] with a templateYLabel[1] of templateYValue[max] templateScale .
The statistic shows templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) denotes the aggregate value of all services and goods produced within a country in any given templateXLabel[0] . templateTitle[3] is an important indicator of a country 's economic power .
This statistic shows the templateYLabel[0] of the templateTitle[1] templateTitle[2] in the templateTitle[0] in templateTitleDate[0] , templateTitle[4] templateXLabel[0] . According to the source , the templateXValue[0] had the highest templateYLabel[0] templateYLabel[1] of a templateTitle[4] of templateYValue[max] templateYLabel[2] templateYLabel[3] .
This statistic represents the templateYLabel[0] templateYLabel[1] templateTitleSubject[0] templateXLabel[0] , in templateTitleDate[0] . In templateTitleDate[0] , the German templateXLabel[0] with the highest templateYLabel[0] templateYLabel[1] on templateTitle[1] and templateTitle[2] . In templateXValue[1] , the highest templateYLabel[0] templateYLabel[1] of templateTitle[0] was registered templateYValue[1] thousand .
This statistic shows the templateTitle[0] of the templateXValue[3] with the largest templateYLabel[0] in the world in templateTitleDate[0] . According to the survey , it was that the templateXValue[0] accounted for templateYValue[max] templateScale of all people .
In templateXValue[max] , the total templateYLabel[0] of templateYLabel[1] in templateTitleSubject[0] amounted to approximately templateYValue[max] templateScale . This figure has templatePositiveTrend over the last few years , when the templateTitle[3] templateYLabel[0] of templateYLabel[1] occurred in the previous templateXLabel[0] . The average templateYLabel[1] of templateTitleSubject[0] is one of the most populous region in the world .
This statistic shows the results of a survey conducted irregularly between templateValue[0][0] and templateValue[0][last] templateValue[0][last] , templateTitle[8] templateTitle[9] . In templateValue[0][0] , the average of templateValue[1][last] templateScale of templateLabel[1][0] templateLabel[1][1] were templateLabel[1][0] templateLabel[1][1] templateTitle[7] templateTitle[8] in the templateTitle[8] group .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] employees from the first templateXLabel[0] of templateTitleDate[min] to the fourth templateXLabel[0] of templateTitleDate[max] . In the fourth templateXLabel[0] of templateTitleDate[max] , the social network templateTitleSubject[0] 's templateYLabel[0] templateYLabel[1] amounted to templateYValue[max] templateYLabel[2] templateYLabel[3] .
This graph depicts the templateYLabel[0] of users of the templateTitle[0] templateTitleSubject[0] and templateTitleSubject[1] from templateTitleDate[min] to 2019 . The templateTitle[0] templateTitleSubject[0] templateYLabel[0] of templateYLabel[1] amounted to templateYValue[0] templateScale templateYLabel[2] templateYLabel[3] in 2019 .
The statistic displays the templateYLabel[0] of the templateTitle[1] templateTitle[2] and templateTitle[4] templateTitle[5] templateTitle[6] in the templateTitle[7] from templateTitleDate[min] to templateTitleDate[max] . The templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[0] of the templateTitleSubject[0] templateTitle[4] amounted to templateYValue[0] templateScale templateYLabel[2] templateYLabel[3] in templateXValue[max] .
This graph shows the templateScale of templateTitle[5] of the templateTitleDate[0] presidential elections in the country on 6 , templateTitleDate[0] , templateTitle[6] templateTitle[7] . According to the templateTitle[2] templateTitle[3] , about templateValue[1][0] templateScale of 18 to 29 year-old voters nationwide have voted for templateLabel[1][0] templateLabel[1][1] .
The statistic depicts the templateTitle[2] templateTitle[3] templateTitle[4] at games of the templateTitleSubject[0] Thunder ( NBA ) from templateValue[0][last] to templateValue[0][0] . In the templateValue[0][3] season , a 16 ounce templateTitle[5] cost templateValue[1][last] U.S. dollars .
This statistic shows the templateYLabel[0] of the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in the United Kingdom ( templateTitleSubject[0] ) in templateTitleDate[0] . In this year , the templateYLabel[0] templateYLabel[1] of the templateTitle[1] templateTitle[2] templateTitle[3] with a total of templateYValue[max] templateScale templateYLabel[3] .
The statistic shows the templateYLabel[1] in real templateYLabel[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , templateTitleSubject[0] 's real templateTitle[0] templateTitle[1] templateTitle[2] templatePositiveTrend by around templateYValue[6] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic shows the 20 templateTitle[0] templateTitle[1] the templateTitle[2] templateTitle[3] in templateTitleDate[0] , sorted templateTitle[5] templateTitle[6] templateYLabel[0] templateYLabel[1] . In that year , the templateXValue[0] was ranked first with a templateYLabel[0] templateYLabel[1] of templateYValue[max] templateYLabel[2] templateYLabel[3] of templateYLabel[4] .
This statistic shows the templateScale of templateTitle[1] in the templateTitleSubject[0] templateTitle[2] templateTitle[3] ever templateTitle[4] templateTitle[5] or templateTitle[6] templateTitle[7] templateTitle[8] as of templateTitleDate[0] , templateTitle[10] templateTitle[11] . It was found that templateValue[1][0] templateScale of those aged 18 - 29 templateValue[0][0] templateTitle[3] templateTitle[4] templateTitle[5] or templateTitle[7] templateTitle[8] .
This graph depicts the total/average regular season templateTitle[5] templateTitle[6] of the templateTitleSubject[0] templateTitle[4] franchise of the templateTitleSubject[0] League from the templateValue[0][last] season to the templateValue[0][0] season . In templateValue[0][0] , the templateLabel[1][0] regular season templateTitle[5] templateTitle[6] of the franchise was templateValue[1][0] .
This statistic displays the templateTitle[0] templateTitle[1] templateTitle[2] the average templateYLabel[0] of templateXLabel[0] templateTitle[3] in the templateTitleSubject[0] ( templateTitleSubject[1] ) from October templateTitleDate[min] to 2019 . As of 2019 , the templateTitleSubject[1] had an average of templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[0] in templateTitleDate[0] , templateTitle[3] templateTitle[4] . In that year , the templateXValue[0] was the templateTitleSubject[0] people , with a total of templateYValue[max] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] of templateYLabel[2] templateYLabel[3] of the templateTitle[0] of templateYLabel[3] templateTitle[4] from templateXValue[min] to templateXValue[max] . According to the source , the templateTitle[0] of the templateTitleSubject[0] was templateYValue[idxmin(X)] templateYLabel[2] templateYLabel[3] . In templateXValue[max] , the templateYLabel[0] templateNegativeTrend to templateYValue[idxmax(X)] templateYValue[idxmax(X)] templateYLabel[3] .
As of 2019 , templateXValue[0] Amsterdam had the highest templateYLabel[0] of about templateYValue[max] templateScale templateYLabel[3] . templateYValue[1] templateScale templateYLabel[3] of the compared to the templateXValue[1] before templateXValue[2] with a total templateYLabel[0] templateYLabel[1] of templateYValue[1] templateScale templateYLabel[3] .
The statistic presents the templateYLabel[0] of the templateTitleSubject[0] worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[4] templateYLabel[0] of the templateTitleSubject[0] amounted to templateYValue[idxmax(X)] templateScale templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at approximately templateYValue[idxmax(X)] templateScale .
This statistic shows the templateYLabel[0] of the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] templateTitle[7] templateTitle[8] in templateTitleDate[0] . templateXValue[0] had the highest templateYLabel[0] of templateYLabel[1] , with nearly templateYValue[max] templateYLabel[2] templateYLabel[3] .
The statistic depicts the templateTitle[2] templateTitle[3] templateTitle[4] at games of the templateTitleSubject[0] ( NBA ) from templateValue[0][last] to templateValue[0][0] . In the templateValue[0][3] season , a 16 ounce templateTitle[5] cost templateValue[1][3] U.S. dollars .
This statistic shows the templateTitle[0] templateTitle[1] and templateTitle[2] in the templateTitleSubject[0] from templateValue[0][last] to templateValue[0][6] , with projections up until templateValue[0][0] . According to the source , templateTitle[0] templateTitle[1] in the templateTitleSubject[0] amounted to around templateValue[1][0] templateScale US dollars .
The statistic presents the distribution of templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] in templateTitleDate[0] , based on templateTitle[7] templateYLabel[0] templateYLabel[1] . According to the source , the templateTitle[0] of all time was templateXValue[0] , with a templateYValue[max] templateScale templateYLabel[3] .
This statistic shows the average templateTitle[0] templateYLabel[0] templateYLabel[1] templateYLabel[2] as templateTitle[2] templateTitle[3] templateYLabel[3] templateTitle[5] from templateXValue[min] to templateXValue[max] . In the templateXValue[min] calendar templateXLabel[0] , the average templateTitle[0] farmer templateTitle[2] an average templateYLabel[0] of templateYValue[idxmin(X)] templateYLabel[4] templateYLabel[1] one templateYLabel[2] of upland templateTitle[0] .
In templateTitleDate[0] , templateXValue[0] had the highest templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitleSubject[1] , with templateYValue[max] templateScale . templateXValue[1] was the second highest templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitleSubject[1] , with templateYValue[1] templateScale . The UK templateYLabel[1] templateYLabel[2] are a popular social templateTitle[5] in the templateXValue[0] .
In templateXValue[max] , the templateYLabel[0] of templateTitleSubject[0] reported criminal offences fluctuated in recent years . In templateXValue[max] , the templateYLabel[0] stood at close to 499 thousand crimes , and among them there were templateYValue[1] templateYLabel[1] reported . According to the Danish Penal Code , the penalty for homicide ranges from a minimum of a five-year prison sentence to imprisonment for life .
This statistic shows the templateYLabel[0] of the templateTitle[1] templateTitle[2] templateTitleSubject[0] templateTitle[4] templateTitle[5] in templateTitleDate[0] , templateTitle[7] templateXLabel[0] . In that year , the templateXValue[0] had the largest templateYLabel[0] of templateYLabel[3] with a total of templateYValue[max] templateYLabel[2] templateYLabel[3] .
This statistic gives information on the templateTitle[1] of templateTitle[4] in the templateTitle[5] in templateTitleDate[0] . During the survey , it was found that templateYValue[1] templateScale of templateYLabel[1] stated that they ate templateTitle[2] templateTitle[3] templateXValue[2] templateXValue[2] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[0] templateYLabel[3] templateYLabel[4] templateTitle[7] templateTitleSubject[0] in templateTitleDate[0] , in templateXLabel[0] . In templateXValue[0] , the templateYLabel[0] templateYLabel[1] to templateTitleSubject[0] was templateYValue[max] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateTitle[4] of the templateTitle[0] templateTitle[1] templateTitle[2] ( templateTitleSubject[0] ) templateTitle[5] in templateTitleDate[min] and templateTitleDate[max] . In templateTitleDate[max] , the templateTitle[4] templateTitle[5] of the templateTitle[0] templateTitle[1] templateTitle[2] stood at templateYValue[min] templateScale .
This statistic illustrates the templateYLabel[0] templateYLabel[1] of the templateYLabel[3] of templateTitle[4] templateTitle[5] in templateTitleDate[0] , templateTitle[7] templateXLabel[1] . It was found that the average templateYLabel[0] templateYLabel[1] of students at templateXValue[0] templateXValue[last] , at templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] .
This statistic shows the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . The templateYLabel[0] templateYLabel[1] is calculated using the price templatePositiveTrend of a defined product basket . This product basket contains products and services , on which the average consumer spends money throughout the templateXLabel[0] .
This statistic displays the templateTitle[0] of the templateTitle[1] templateTitle[2] templateTitle[3] in templateTitleSubject[0] in templateXValue[min] and templateXValue[max] . In templateXValue[max] , the templateTitle[0] of templateTitle[2] templateTitle[3] in templateTitleSubject[0] was at templateYValue[idxmax(X)] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
The statistic depicts the templateYLabel[0] of the templateTitleSubject[0] , a franchise of the National Football League , from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of the templateTitleSubject[0] was templateYValue[max] templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[2] templateTitle[3] templateTitleSubject[0] worldwide in templateTitleDate[0] , templateTitle[7] templateXLabel[0] . In that year , the templateXValue[0] had the highest templateYLabel[0] templateYLabel[1] of templateYValue[max] templateYLabel[2] templateYLabel[3] .
This statistic shows the average templateTitle[0] templateTitle[1] in the templateTitleSubject[0] in templateTitleDate[0] , broken down templateTitle[7] templateTitle[8] . The templateTitle[0] of templateValue[0][0] templateValue[0][0] amounted to templateValue[2][0] templateScale U.S. dollars in templateLabel[1][0] templateLabel[1][1] .
In templateXValue[max] , the templateTitle[0] templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to templateYValue[0] templateYValue[idxmax(X)] templateYLabel[2] . This figure is a slight templatePositiveTrend compared to the low templateYLabel[1] since templateXValue[5] , when there were templateYValue[1] templateScale in templateXValue[1] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in the United Kingdom ( templateTitleSubject[0] ) in templateTitleDate[0] , templateTitle[7] templateXLabel[1] of templateTitle[9] . The templateTitle[0] of templateXValue[last] stood at templateYValue[min] templateYLabel[2] templateYLabel[3] in templateTitleDate[0] .
In 2019 , templateXValue[0] was the leading producer of templateTitle[0] and templateTitle[1] in the templateTitleSubject[0] with templateYValue[max] templateScale templateYLabel[2] templateYLabel[3] . The amount of templateTitle[0] tourists came from templateXValue[2] . templateXValue[1] , with templateYValue[1] templateScale templateYLabel[2] templateYLabel[3] of templateTitle[1] .
This statistic shows the templateTitle[0] templateTitle[1] in the templateTitleSubject[0] from templateTitleDate[min] to templateTitleDate[max] , templateTitle[5] templateTitle[6] . In templateTitleDate[max] , the highest templateTitle[1] templateTitle[2] in the templateValue[0][6] was at templateValue[5][idxmax(5)] templateScale .
In templateTitleDate[0] , templateXValue[0] was the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] in the templateTitle[7] with a total of templateValue[1][0] templateScale U.S. dollars . The templateValue[0][0] is templateValue[2][0] templateScale of templateLabel[2][0] templateLabel[1][0] templateLabel[1][1] templateLabel[1][2] , which was go the templateValue[0][0] .
This statistic shows the degree of templateTitle[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . templateTitle[0] means the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateYLabel[3] templateYLabel[2] of a country . In templateXValue[max] , templateYValue[idxmax(X)] templateScale of templateTitleSubject[0] 's templateYLabel[3] templateYLabel[2] lived in templateYLabel[1] areas and cities .
The statistic shows the templateYLabel[0] of the templateTitle[1] templateTitle[2] templateTitleSubject[0] templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateYLabel[0] amounted to templateYValue[idxmin(X)] templateScale templateYLabel[2] templateYLabel[3] .
This statistic shows the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to about templateYValue[6] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic presents the templateYLabel[2] templateYLabel[0] of the templateTitle[1] templateTitle[2] templateTitle[0] in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . According to the source , the templateYLabel[2] templateYLabel[0] for the templateTitle[1] templateTitle[2] is expected to templatePositiveTrend by templateYValue[idxmin(X)] templateScale templateYLabel[2] templateYLabel[3] in templateXValue[max] .
The graph shows the templateYLabel[0] of templateTitle[1] templateYLabel[1] in the templateTitle[0] in templateTitleDate[0] , templateTitle[5] templateXLabel[0] . In templateXValue[0] , there were templateYValue[max] templateTitle[1] templateYLabel[1] in the templateTitleSubject[0] .
This statistic shows the templateTitle[4] of the templateTitle[0] templateTitle[1] templateTitle[2] in the United Kingdom ( templateTitleSubject[0] ) from templateTitleDate[min] to templateTitleDate[max] , templateTitle[7] templateTitle[8] . As of 2019 , templateTitle[0] templateTitle[1] templateTitle[2] in the templateTitle[4] was templateValue[3][last] templateScale of templateTitle[4] .
This statistic shows the value of the templateTitle[1] templateTitle[2] templateYLabel[0] templateTitle[4] from templateTitleDate[min] to templateTitleDate[max] . The templateYLabel[0] from templateYLabel[1] templateNegativeTrend from templateYValue[last] templateScale in templateTitleDate[max] .
This statistic shows the templateScale of templateYLabel[1] of the templateTitle[0] in the templateTitle[2] in templateTitleDate[0] , templateTitle[4] templateXLabel[0] . In templateTitleDate[0] , the templateTitle[0] of templateXValue[0] was ranked first with a templateYLabel[0] of templateYValue[max] templateYLabel[2] templateYLabel[3] .
This statistic gives information on the most popular templateTitle[1] templateTitle[2] on templateTitleSubject[0] , ranked by number of followers on the social network . As of 2018 , Sony 's templateXValue[0] was ranked first with templateYValue[max] templateScale templateTitleSubject[0] on the social network .
This statistic shows the templateTitle[0] of the templateTitle[1] templateTitle[2] templateTitle[3] ( templateTitle[4] ) templateTitle[5] templateTitle[6] templateTitle[7] in templateTitleSubject[0] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , templateLabel[1][0] contributed around templateValue[1][0] templateScale to the templateTitle[4] of templateTitleSubject[0] , templateValue[2][0] templateScale came from the templateLabel[2][0] and templateValue[3][0] templateScale from the templateLabel[3][0] sector .
This statistic shows the templateYLabel[0] of templateYLabel[1] of the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . The average templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[3] templateTitle[4] was templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] in templateXValue[idxmax(Y)] .
The statistic shows the templateYLabel[0] of the total templateYLabel[2] in the templateTitleSubject[0] from templateXValue[min] to templateXValue[7] , with projections up until templateXValue[max] . According to the total market value of all goods and services produced in a country in a templateXLabel[0] . It is considered to be a very important indicator of the economic strength of a country and a positive change is an indicator of economic growth .
This statistic presents the distribution of templateTitle[0] templateTitle[1] users in the templateTitle[4] as of 2019 . During the survey , templateYValue[max] templateScale of the templateYLabel[1] stated that they used templateXValue[0] on the social network .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the templateTitle[6] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , the templateTitle[0] templateTitle[1] templateTitle[2] of the templateLabel[1][0] templateLabel[1][1] templateTitle[4] in the templateTitle[5] was templateValue[1][0] U.S. dollars .
This statistic provides information on the templateYLabel[0] of templateTitle[2] in the templateTitle[0] in templateTitleDate[0] , templateTitle[4] templateXLabel[1] . During the survey period , it was found that templateYValue[3] templateScale of the templateXValue[0] were templateTitle[1] templateTitle[2] .
This statistic shows the templateYLabel[0] of templateYLabel[1] in the templateTitleSubject[0] and templateTitle[1] templateYLabel[1] in templateTitleDate[0] , templateTitle[6] templateXLabel[0] . From 1974 to the source , templateYValue[max] templateTitle[1] templateYLabel[1] were recorded in templateXValue[0] .
This statistic displays the templateTitle[0] templateTitle[1] templateXValue[last] related to templateXValue[0] templateYLabel[3] templateYLabel[0] in the templateTitleSubject[0] in templateTitleDate[0] . The templateTitle[0] templateTitle[1] templateTitle[2] the templateTitle[4] stood at templateYValue[2] templateScale templateYLabel[2] templateYLabel[3] of templateYLabel[0] .
This statistic gives information on the templateTitle[0] templateTitle[1] templateTitle[2] templateXLabel[0] in templateTitleSubject[0] as of 2019 . During the survey period , templateXValue[0] was ranked first with an average of templateYValue[max] templateScale copies .
templateXValue[0] had the highest templateYLabel[0] of templateYLabel[2] templateYLabel[3] of any templateXLabel[0] in the world in templateTitleDate[0] with a total of templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] . This was followed by templateXValue[1] templateXValue[2] with templateYValue[1] templateScale of templateYValue[2] templateScale templateYLabel[3] templateYLabel[4] .
This statistic gives information on the templateScale of the total templateYLabel[0] of people living in the templateTitle[2] as of 2018 . During the survey period , it was found that templateYValue[7] templateScale of all templateXValue[last] were living in templateXValue[0] .
This statistic shows the total amount of templateTitle[2] mined in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , templateTitle[1] templateTitle[2] templateYLabel[0] amounted to templateYValue[idxmin(X)] templateScale templateYLabel[2] templateYLabel[3] .
This statistic shows the templateTitle[0] of the templateTitle[1] templateTitle[2] in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . According to the source , there were over templateYValue[max] templateScale templateYLabel[1] living in the templateTitleSubject[0] .
This statistic shows the results of a survey among templateTitleSubject[0] adult Americans on the templateTitle[0] of templateTitle[1] . During the survey , it was found that templateYValue[max] templateScale of the templateYLabel[1] stated that they had templateTitle[0] templateTitle[1] at templateXValue[0] .
In templateTitleDate[0] , the highest templateYLabel[0] templateYLabel[1] was registered in the South of templateTitleSubject[0] . templateXValue[0] , templateXValue[1] , and templateXValue[2] , the three regions where the shares of citizens without a job exceeded templateYValue[2] templateScale , led in the ranking of Italian regions with the highest templateYLabel[0] rates . The disparities in templateYLabel[0] indicators can be observed not only on the regional level , but also among genders .
This statistic gives information on the templateTitle[0] templateTitle[1] templateYLabel[0] of the templateTitle[4] templateXValue[0] . The templateYLabel[0] of templateTitleSubject[0] amounted to over templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] in templateTitleDate[0] .
This statistic shows the templateTitle[0] of templateTitle[1] in the templateTitleSubject[0] from templateValue[0][last] to templateValue[0][0] , templateTitle[7] templateTitle[8] . In templateValue[0][0] , the templateTitle[0] of templateTitleSubject[0] employees in the templateTitleSubject[0] was templateValue[1][0] U.S. dollars .
The statistic depicts the templateYLabel[0] of the templateTitleSubject[0] , a franchise of the National Football League , from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of the templateTitleSubject[0] was templateYValue[max] templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
This graph shows the estimated templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitle[3] in templateTitleDate[0] , by templateXLabel[0] . In this year , the templateXValue[0] generated approximately templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] of templateYLabel[1] templateYLabel[2] .
In templateXValue[max] , the templateYLabel[1] for smartwatches are expected to reach around templateYValue[idxmax(X)] templateScale units templateTitle[3] , nearly doubling the templateYLabel[1] total templateYLabel[2] templateYLabel[3] templateYLabel[4] . Apple produces one of the most popular popular devices in the world , the Apple Watch , which gives the company one of the highest market shares among all templateTitleSubject[0] manufacturers . Wearables The wearable electronic device subsector of the broader consumer electronics industry consists of everything from fitness trackers , to smart watches , to smart fabrics .
The statistic shows the templateTitleSubject[0] of templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] , templateTitle[7] templateTitle[8] . According to the source , templateValue[1][0] templateScale of those who were sold in templateTitleSubject[0] .
This graph depicts the templateYLabel[0] templateYLabel[1] templateYLabel[2] for templateTitleSubject[0] games of the National Basketball Association from templateXValue[last] to templateXValue[0] . In the templateXValue[last] season , the templateYLabel[0] templateYLabel[1] templateYLabel[2] was templateYValue[last] templateYLabel[3] templateYLabel[4] .
This statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of the Norwegian templateTitle[4] templateTitle[5] templateTitle[6] from templateXValue[min] to templateXValue[max] . The highest templateYLabel[3] ever reached was templateYValue[min] in templateXValue[idxmin(Y)] . Rank templateYValue[max] was the lowest result of the templateTitle[6] , which was reached in templateXValue[idxmax(Y)] .
The statistic shows the templateYLabel[0] of the templateTitleSubject[0] , a franchise of the National Football League , from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of the templateTitleSubject[0] was templateYValue[max] templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
This statistic shows the results of a survey among the templateTitle[0] employees in the United Kingdom ( templateTitleSubject[0] ) from templateXValue[last] to templateXValue[0] . The templateTitle[0] of templateYLabel[2] templateYLabel[3] at templateXValue[0] , however , with a day of templateYValue[7] templateScale templateYLabel[3] .
The statistic shows the total templateYLabel[0] templateYLabel[1] of the templateTitle[0] templateTitleSubject[0] worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the global templateYLabel[0] templateYLabel[1] generated templateYValue[0] templateYValue[idxmax(X)] templateYLabel[3] templateYLabel[4] .
This statistic shows the templateYLabel[0] of the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in templateTitle[7] templateTitleDate[0] , templateTitle[7] templateTitle[8] . In that year , templateXValue[0] had the largest templateYLabel[0] of templateYValue[max] templateYLabel[2] templateYLabel[3] .
The statistic shows the templateYLabel[0] of the total templateYLabel[2] in the templateTitleSubject[0] from templateXValue[min] to templateXValue[7] , with projections up until templateXValue[max] . According to the total market value of all goods and services produced in a country in a templateXLabel[0] . It is considered to be a very important indicator of the economic strength of a country and a positive change is an indicator of economic growth .
In the templateTitleSubject[0] referendum that took place in the templateTitleSubject[1] on 23 , templateTitleDate[0] , templateValue[1][0] templateScale of men voted to templateLabel[2][0] the European Union , compared with templateValue[2][last] templateScale of women . The referendum itself was won templateTitle[4] the templateLabel[2][0] side , after they won 51.9 templateScale of the vote overall .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] in the United Kingdom ( templateTitleSubject[0] ) as of 2019 , sorted templateTitle[5] templateXLabel[0] . During that period of time , it was found that templateYValue[min] templateScale of all templateXValue[last] were templateXValue[last] .
The statistic shows the results of a survey concerning the country in templateTitleDate[0] , templateTitle[5] templateTitle[6] . According to the survey findings , templateValue[1][0] templateScale of templateLabel[2][0] respondents stated that they were templateLabel[1][0] templateLabel[1][1] templateLabel[1][2] old .
This statistic shows the templateTitle[0] of templateYLabel[3] templateTitle[2] templateTitle[3] templateTitle[4] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . The templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] was templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] in templateXValue[idxmax(Y)] .
This statistic shows the templateTitle[0] templateTitle[1] in templateTitleSubject[0] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , about templateValue[1][min] templateScale of templateTitleSubject[0] 's total population were aged 0 to 14 templateLabel[1][1] .
The statistic shows the templateScale of the employees of the templateYLabel[1] who were using templateTitle[0] as of 2019 , sorted templateTitle[8] templateTitle[9] . According to the source , templateValue[1][0] templateScale of people who had templateTitle[4] on that year .
This statistic gives information on the most popular templateXLabel[0] templateXLabel[1] of templateTitle[1] in the templateTitle[0] in templateTitleDate[0] . During the survey period , it was found that templateYValue[1] templateScale of templateYLabel[1] were templateXValue[0] , whereas templateXValue[2] were templateXValue[last] templateXValue[2] .
The statistic shows the total templateYLabel[0] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[1] , templateTitleSubject[0] generated approximately templateYValue[1] templateScale templateYLabel[2] templateYLabel[3] in templateYLabel[0] .
The statistic shows the templateYLabel[0] of adults in the templateTitleSubject[0] who were using templateTitle[0] as of 2019 , sorted templateTitle[7] templateTitle[8] . During that period of time , it was found that half of respondents stated that they had a total of templateYValue[1] templateScale .
The statistic shows the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to about templateYValue[6] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
In templateValue[0][0] , there was a templateLabel[2][0] of templateValue[1][3] templateLabel[1][0] templateTitle[2] templateTitle[0] operating in the templateTitleSubject[0] templateTitle[2] templateTitle[3] . The templateTitleSubject[0] templateTitle[2] templateTitle[3] employs over 29 thousand staff and paid out more than seven templateScale euros in life templateTitle[2] benefits in templateValue[0][1] . The latest figures show that the largest templateTitle[2] group in Austria by templateTitle[3] share was the Vien templateTitle[2] Group .
This graph shows the average templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitle[5] in templateTitleDate[0] . In templateXValue[0] , there were a total of templateYValue[0] templateScale templateYLabel[1] templateYLabel[2] templateXValue[last] templateXValue[0] .
This statistic shows the average templateYLabel[0] templateYLabel[1] of the templateTitle[2] templateTitle[3] templateTitleSubject[0] in templateTitleDate[0] , templateTitle[7] templateXLabel[0] . In templateXValue[0] , the templateTitle[0] templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] amounted to templateYValue[max] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateTitle[1] templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , about templateYValue[idxmax(X)] templateScale of templateTitleSubject[0] 's templateYLabel[1] lived below the templateTitle[1] line .
The templateTitle[1] rate in templateTitleSubject[0] has been templateNegativeTrend lately . In templateXValue[max] , approximately templateYValue[idxmax(X)] templateScale of the templateYLabel[1] of the South American country was living on less than templateTitle[4] templateTitle[5] templateTitle[6] per templateTitle[7] , down from templateYValue[max] templateScale observed in 2006.Furthermore , the percentages of Chileans with credit card have templatePositiveTrend throughout recent years .
This statistic shows the time templateYLabel[0] of the templateYLabel[1] templateYLabel[2] in the country in templateTitleDate[0] , templateTitle[5] templateXLabel[0] . In templateTitleDate[0] , some templateYValue[max] templateScale of the templateYLabel[1] templateYLabel[2] were templateXValue[0] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] of templateXValue[0] in the United Kingdom ( templateTitleSubject[0] ) in templateTitleDate[0] , ranked by the templateYLabel[0] templateYLabel[1] of templateXValue[0] with over templateYValue[max] templateScale templateYLabel[3] . The ranking ranking ranking was followed by templateXValue[1] with templateYValue[1] templateScale templateYLabel[3] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[2] in the templateTitle[0] from templateXValue[last] to templateXValue[0] . In templateXValue[0] , the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] amounted to templateYValue[max] templateYLabel[2] templateYLabel[3] .
This statistic shows the results of a survey among the templateTitle[0] templateXLabel[1] templateTitle[7] templateTitle[8] in templateTitleSubject[0] in templateTitleDate[0] . According to the source , templateXValue[0] generated templateYValue[1] templateScale templateYLabel[3] of templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
In templateXValue[5] , templateTitleSubject[0] had templateYValue[5] templateScale templateYLabel[1] templateYLabel[2] . This figure is projected to grow to templateYValue[max] templateScale templateYLabel[1] templateYLabel[2] in templateXValue[idxmax(Y)] . The templateYLabel[1] penetration amounted to 47.1 templateScale of the population in templateTitleSubject[0] and is set to reach 84.5 templateScale in templateXValue[max] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitleSubject[0] in the templateTitle[7] as of 2019 . It was templateXValue[0] , the templateTitle[0] templateTitle[1] templateXValue[1] with a templateYLabel[1] of templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] .
This statistic shows the results of a survey among the templateTitle[0] employees making it the largest group of employees employees templateYLabel[3] templateTitle[4] employees templateYLabel[3] . According to the source , a education employees employees .
With each templateYLabel[1] taking home a handsome templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] every year , the templateXValue[0] is the professional templateXLabel[0] templateXLabel[1] with the highest templateYLabel[1] wages worldwide . In second place is the Indian Premier templateXLabel[1] , there were over templateYValue[max] thousand templateYLabel[3] templateYLabel[4] templateYLabel[5] in templateXValue[0] .
This graph depicts the templateYLabel[0] templateYLabel[1] templateYLabel[2] for templateTitleSubject[0] games of the National Basketball Association from templateXValue[last] to templateXValue[0] . In the templateXValue[last] season , the templateYLabel[0] templateYLabel[1] templateYLabel[2] was at templateYValue[min] templateYLabel[3] templateYLabel[4] .
This statistic shows the templateScale of the total templateXLabel[1] living in templateXLabel[0] with the highest templateYLabel[0] in templateTitleDate[0] . In this year , templateYValue[max] templateScale of the total of the templateXValue[0] was living in templateXLabel[0] with .
This statistic shows the templateYLabel[1] of the templateTitle[0] templateYLabel[0] templateYLabel[3] of templateTitleSubject[0] from the first templateXLabel[0] of templateTitleDate[min] to the first templateXLabel[0] of templateTitleDate[max] . As of the fourth templateXLabel[0] of templateTitleDate[max] , the templateTitle[0] of templateTitleSubject[0] templateYLabel[3] was templateYValue[max] templateYLabel[2] templateYLabel[3] .
The statistic shows the templateYLabel[1] in real templateYLabel[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , templateTitleSubject[0] 's real templateTitle[0] templateTitle[1] templateTitle[2] templatePositiveTrend by around templateYValue[6] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This graph depicts the templateYLabel[0] templateYLabel[1] templateYLabel[2] for templateTitleSubject[0] games in Major League Baseball from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] templateYLabel[2] was at templateYValue[idxmax(X)] templateYLabel[3] templateYLabel[4] .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] in the templateTitle[3] in templateTitleDate[0] , templateTitle[5] templateTitle[6] templateYLabel[0] . According to the source , the templateTitle[0] templateYLabel[0] of people who participated in templateXValue[0] amounted to approximately templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] in templateTitleDate[0] .
This statistic shows the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to about templateYValue[6] templateScale templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic presents the ranking of the templateTitle[0] templateYLabel[2] in the templateTitleSubject[0] as of 2019 . According to the source , templateXValue[0] accounted for templateYValue[max] templateScale of all templateYLabel[2] during the statistic .
The statistic shows the distribution of templateTitle[1] templateTitle[2] of templateTitle[4] on templateTitleSubject[0] in the fiscal year of templateTitleDate[0] . According to the source , there were just over templateYValue[max] templateScale templateYLabel[1] in templateTitleSubject[0] .
This statistic shows the templateTitle[0] templateTitle[1] in templateTitleSubject[0] from templateValue[0][last] to templateValue[0][0] . In templateValue[0][0] , about templateValue[1][min] templateScale of templateTitleSubject[0] 's total population were aged 0 to 14 templateLabel[1][1] .
This graph depicts the annual National Hockey League templateYLabel[0] of the templateTitleSubject[0] from the templateXValue[last] season to the templateXValue[0] season . The templateYLabel[0] of the templateTitleSubject[0] amounted to templateYValue[0] templateScale templateYLabel[2] templateYLabel[3] in the templateXValue[0] season .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] of the United Kingdom ( templateTitleSubject[0] ) in templateTitleDate[0] , templateTitle[7] templateTitle[8] . The templateTitle[0] templateYLabel[0] of templateTitleSubject[0] amounted to over templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] that year .
This statistic gives information on the templateYLabel[3] templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[idxmax(X)] templateScale of the Brazilian population accessed the templateYLabel[3] , up from templateYValue[15] templateScale in templateXValue[15] . templateTitleSubject[0] is one of the biggest online markets worldwide .
This statistic shows the templateYLabel[0] of adults in the templateTitle[1] templateTitle[3] were templateTitleSubject[0] users as of 2019 , sorted templateTitle[7] templateTitle[8] and templateTitle[9] group . During that period of time , templateYValue[max] templateScale of the templateYLabel[1] stated that they used the social networking site .
This statistic presents the templateScale of online consumers in the templateTitle[0] who are templateTitleSubject[0] templateTitle[2] members . As of 2019 , it was found that templateValue[1][0] templateScale of the templateTitle[1] templateTitle[2] templateTitle[3] were templateLabel[1][0] , an templatePositiveTrend over templateValue[3][0] templateScale from the previous year . The next few years As of 2019 , templateTitle[3] templateValue[0][0] was the most popular social networks worldwide .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateYLabel[0] of templateTitleSubject[0] in templateTitleDate[0] . Of the total templateTitle[0] templateTitle[1] in templateTitleSubject[0] was templateXValue[0] , with a templateYLabel[0] of templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] .
templateTitle[0] templateTitle[1] templateYLabel[0] has templatePositiveTrend astronomically in the last five years alone – templatePositiveTrend from templateYValue[5] templateScale templateYLabel[2] templateYLabel[3] in templateXValue[5] to templateYValue[max] templateScale in templateXValue[idxmax(Y)] . templateTitle[1] has become a popular pastime for templateYLabel[2] templateTitle[0] fans and a major source of templateYLabel[0] for the industry , though many traditional consumers lament the resulting decline of physical templateTitle[0] formats . Physical CD shipments have dwindled , whilst digital templateTitle[0] platforms are flourishing .
The statistic presents the templateTitle[1] templateTitle[2] the most popular templateXLabel[0] templateTitle[4] templateYLabel[1] in templateTitleDate[0] . templateYValue[max] templateScale of templateYLabel[1] were templateXValue[0] .
This statistic shows the templateTitle[0] of templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in templateTitleSubject[0] from templateTitleDate[min] to templateTitleDate[max] . In templateValue[0][0] , templateValue[1][0] templateScale of the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] of the templateLabel[1][0] templateLabel[1][1] were templateLabel[1][0] templateLabel[1][1] .
This statistic shows the templateTitle[0] of templateTitle[1] revenues in the templateTitleSubject[0] from templateValue[0][0] to templateValue[0][last] , broken down templateTitle[7] templateTitle[8] . The templateTitle[0] of the templateTitleSubject[0] in the templateTitleSubject[1] stood at templateValue[1][last] U.S. dollars in templateValue[0][last] .
This statistic displays the templateYLabel[0] of templateTitleSubject[0] templateYLabel[1] in the templateTitleSubject[1] in templateTitleDate[0] , templateTitle[6] templateXLabel[0] . In templateTitleDate[0] , there were a total of templateYValue[min] templateYLabel[1] living in templateTitleSubject[0] .
This statistic illustrates the templateTitle[0] templateTitle[1] templateTitle[2] of templateTitle[3] templateTitle[4] in templateTitleSubject[0] in templateTitleDate[min] and templateTitleDate[max] . The survey revealed that templateValue[1][0] templateScale of respondents purchased templateValue[0][0] compared with a templateValue[0][0] compared to templateValue[2][0] templateScale of templateValue[1][2] templateScale in templateTitleDate[max] .
This statistic displays the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in templateTitleSubject[0] as of 2015 . During the survey , it was found that templateYValue[max] templateScale of templateYLabel[1] stated that they had used the largest templateTitle[1] in templateTitleSubject[0] templateTitle[2] templateTitle[3] .
This statistic shows the 20 templateTitle[0] templateTitle[1] the templateTitle[2] templateTitle[3] in templateTitleDate[0] , templateTitle[4] templateXLabel[0] . In templateXValue[0] , the largest number of templateTitle[3] templateTitleSubject[0] stood at templateYValue[max] templateYLabel[2] templateYLabel[3] of templateYLabel[4] templateYLabel[5] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[0] templateTitle[1] templateTitleSubject[0] in templateTitleDate[0] , templateTitle[6] templateXLabel[0] . In templateTitleDate[0] , the templateXValue[0] templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] was templateYValue[max] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[4] from templateXValue[min] to templateXValue[max] . According to the source , the templateTitle[0] templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] amounted to over templateYValue[2] templateScale templateYLabel[3] templateYLabel[4] in templateXValue[max] .
The statistic shows the degree of templateTitle[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , about templateYValue[idxmax(X)] templateScale of the total templateYLabel[2] in the templateTitleSubject[0] lived in cities .
This statistic shows the templateTitle[1] templateYLabel[0] in the templateTitle[0] from templateXValue[min] to templateXValue[max] . According to the report , total templateYLabel[2] templateTitle[1] templateYLabel[0] amounted to about templateYValue[idxmin(X)] templateScale templateYLabel[2] templateYLabel[3] in templateXValue[idxmin(Y)] .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitle[1] templateTitle[2] in templateTitleSubject[0] was at about templateYValue[idxmax(X)] templateYLabel[0] templateYLabel[1] 1,000 templateYLabel[3] templateYLabel[4] .
The statistic shows the templateYLabel[0] of the templateYLabel[2] templateYLabel[3] templateTitle[4] templateYLabel[3] between templateXValue[min] and templateXValue[max] . In templateXValue[max] , the data from the templateTitle[0] of the templateTitleSubject[0] was templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
The statistic presents the templateYLabel[0] of the templateTitle[1] templateTitle[2] in the templateTitle[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[idxmax(X)] templateScale templateYLabel[2] templateYLabel[3] of templateTitle[4] globally .
This statistic shows the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] from templateValue[0][last] to templateValue[0][0] , templateTitle[7] templateTitle[8] . In templateValue[0][0] , the templateTitleSubject[0] templateTitle[1] for templateLabel[1][0] templateLabel[1][1] templateLabel[1][2] templateLabel[1][2] amounted to templateValue[4][1] templateScale U.S. dollars .
This statistic shows the templateTitle[0] of templateTitle[1] templateTitle[2] templateYLabel[0] templateYLabel[1] templateTitle[3] templateTitle[4] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . The templateTitle[0] of templateTitleSubject[0] templateTitle[2] templateTitle[3] templateTitle[4] was templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in the United Kingdom ( templateTitleSubject[0] ) as of 2019 . The templateTitle[0] templateYLabel[0] of the templateXValue[0] a templateTitle[2] templateTitle[3] of templateYValue[max] templateScale templateYLabel[3] templateYLabel[4] .
The statistic shows the templateYLabel[0] of the templateYLabel[2] templateYLabel[3] templateTitle[4] templateYLabel[3] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the data of the templateTitle[0] of the templateTitleSubject[0] was templateYValue[idxmax(X)] templateYLabel[2] templateYLabel[3] .
