This statistic shows the degree of templateTitle[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . templateTitle[0] is defined as the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateYLabel[3] templateYLabel[2] . In templateXValue[max] , templateYValue[max] percent of the templateYLabel[3] templateYLabel[2] of templateTitleSubject[0] lived in templateYLabel[1] areas .
As of the third quarter of templateTitleDate[0] , it was found that templateYValue[0] percent of templateTitleSubject[0] users in the templateTitleSubject[1] templateTitleSubject[1] accessed the photo sharing app templateXValue[0] templateXValue[0] a templateXValue[0] . A further templateYValue[1] percent of templateYLabel[1] claimed that they used templateTitleSubject[0] on a templateXValue[1] basis .
This timeline shows the development of templateTitleSubject[0] 's templateYLabel[0] templateYLabel[1] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the company 's templateYLabel[0] templateYLabel[1] amounted to templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] . The annual templateYLabel[0] templateYLabel[1] growth of the templateYLabel[3] can be accessed here .
This statistic gives information on the most templateTitle[3] templateTitle[4] templateTitle[5] on templateTitleSubject[0] , ranked by templateTitle[1] of templateTitle[2] on the social network . As of February templateTitle[6] , personal care templateYLabel[0] templateXValue[0] templateXValue[0] templateXValue[0] templateXValue[0] was ranked first with close to templateYValue[max] templateYLabel[2] templateTitleSubject[0] templateTitle[2] .
This graph shows the total templateTitle[3] of the templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] were at templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This statistic displays templateTitleSubject[0] 's templateTitle[1] templateTitle[2] templateTitle[3] ( templateYLabel[0] ) of the fourth templateXLabel[0] of templateTitleDate[0] . As of the last reported templateXLabel[0] , the company 's templateYLabel[0] templateYLabel[1] amounted to templateYValue[0] templateYLabel[2] templateYLabel[3] templateYLabel[4] ( or about 48 templateYLabel[2] templateYLabel[3] templateYLabel[4] templateYLabel[5] .
The statistic depicts the templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of the Major League Baseball franchise amounted to templateYValue[max] templateYLabel[1] templateYLabel[2] dollars.The templateTitleSubject[0] templateTitleSubject[0] are owned by Mark Attanasio , who bought the franchise for 223 templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateXValue[13] .
This statistic shows the templateTitle[1] templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[0] percent of templateTitleSubject[0] 's templateYLabel[1] lived below the templateTitle[1] line .
As of templateXValue[0] templateXValue[0] , it was estimated that templateTitleSubject[0] had just templateYValue[0] thousand templateYLabel[1] templateYLabel[2] templateYLabel[3] in the templateTitle[2] in templateTitleDate[0] . templateTitleSubject[0] templateTitle[4] templateTitleSubject[0] is a leader of almost 60 percent of the leading social network amounting to their previous year .
This graph depicts the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitleSubject[0] templateTitleSubject[0] templateTitle[6] of the National Basketball Association from templateXValue[last] to templateXValue[0] . In the templateXValue[last] season , the templateYLabel[0] templateYLabel[1] templateYLabel[2] was templateYValue[min] templateYLabel[3] templateYLabel[4] .
The timeline shows templateTitleSubject[0] 's templateTitle[1] templateTitle[2] templateYLabel[0] between the templateXValue[min] and templateXValue[max] fiscal years . templateTitleSubject[0] 's global templateTitle[2] templateYLabel[0] amounted to around templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] in the templateXValue[max] fiscal templateXLabel[0] .
The statistic shows the templateYLabel[0] of templateYLabel[1] templateTitle[2] a templateTitle[3] templateTitle[4] of templateTitle[5] in the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[last] to templateXValue[0] . As of the last reported period , the templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] amounted to templateYValue[max] templateYLabel[2] templateYLabel[1] templateTitle[2] , up from templateYValue[4] templateYLabel[2] in the previous templateXLabel[0] .
The statistic shows the templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] franchise from the 2001/02 season to the 2018/19 season . In 2018/19 , the estimated templateYLabel[0] of the National Basketball Association franchise amounted to templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
As of March of templateTitleDate[0] , around templateYValue[max] percent of Americans felt that templateTitle[1] templateTitle[2] websites templateXValue[0] report templateTitle[5] templateTitle[2] stories in the templateTitle[7] . Another templateYValue[1] percent of templateYLabel[1] stated that they believed that templateTitle[1] templateTitle[2] websites templateXValue[1] report templateTitle[5] templateTitle[2] stories . Just templateYValue[2] percent of adults said that they did templateXValue[2] believe that templateTitle[5] templateTitle[2] is being reported templateTitle[1] .
The statistic shows the 15 templateTitleSubject[0] templateTitle[1] the templateTitle[2] templateYLabel[0] templateYLabel[1] in templateTitleDate[0] . In templateTitleDate[0] , the 28 countries with the highest templateYLabel[0] templateYLabel[1] in templateXValue[0] was at templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] . templateYLabel[0] templateYLabel[1] The global templateTitle[0] templateYLabel[0] templateYLabel[1] in templateTitleDate[0] .
This statistic shows the templateTitle[1] templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[0] percent of templateTitleSubject[0] 's templateYLabel[1] lived below the templateTitle[1] line .
This statistic shows the templateYLabel[0] of templateTitle[2] templateTitle[3] templateTitle[4] in the United Kingdom ( templateTitleSubject[0] ) in templateTitle[6] , templateTitle[7] templateXLabel[0] templateXLabel[1] . In that year , the top selling templateTitle[2] , templateYValue[min] templateYLabel[1] British pounds in templateYLabel[0] .
This statistic shows the templateTitle[0] templateYLabel[0] of templateTitle[1] templateTitle[2] templateYLabel[1] in the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[max] percent of templateTitle[1] templateTitle[2] templateYLabel[1] 100,000 population were committed in the templateTitleSubject[0] templateTitleSubject[0] .
This statistic shows the degree of templateTitle[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . templateTitle[0] means the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateYLabel[3] templateYLabel[2] of a country . In templateXValue[max] , templateYValue[max] percent of templateTitleSubject[0] 's templateYLabel[3] templateYLabel[2] lived in templateYLabel[1] areas and cities .
How many people use templateTitle[0] ? In the first templateXLabel[0] of templateTitleDate[1] , the templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateTitleSubject[0] templateTitle[0] templateYLabel[3] amounted to templateYValue[0] templateYLabel[4] , an increase from templateYValue[1] templateYLabel[4] in the previous period . In recent times , templateTitle[0] 's user growth has been not endeared the company to its investors - the growth compared to the previous templateXLabel[0] only amounted to three percent and has hovered in the low single digits since 2017 as the company continues to struggle to attract and retain templateYLabel[3] . templateTitle[0] audiences With more than 330 templateYLabel[4] global templateYLabel[1] templateYLabel[2] templateYLabel[3] , templateTitle[0] is one of the biggest social networks worldwide .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateTitle[2] in templateTitleDate[0] . In templateTitleDate[0] , at least templateYValue[1] people were executed in templateXValue[1] . The figures represent minimum values according to Amnesty International .
The statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateYLabel[3] in the templateTitle[3] from templateXValue[min] to templateXValue[max] . In templateTitleDate[1] , around 8.32 million templateYLabel[2] were templateYLabel[3] in the templateTitle[3] .
The timeline shows templateTitleSubject[0] templateTitle[1] templateTitle[2] templateYLabel[0] in the templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , there were templateYValue[min] thousand templateTitleSubject[0] templateYLabel[1] templateTitle[4] .
As per recent data exploring the number of people employed by Hewlett Packard Enterprise ( previously a part of Hewlett-Packard Company ) worldwide between templateXValue[min] and templateXValue[max] , in templateXValue[max] the company had templateYValue[0] thousand templateYLabel[0] .
The templateTitle[0] and templateTitle[1] industry contributed to the French Gross Domestic Product ( templateTitle[5] ) in templateTitle[3] with approximately templateYValue[2] templateYLabel[1] templateYLabel[2] in templateXValue[2] . The source predicted that this templateTitle[4] will increase in the coming ten years , reaching an expected templateTitle[3] of around templateYValue[max] templateYLabel[1] templateYLabel[2] in templateXValue[max] . In templateXValue[2] , templateTitleSubject[0] welcomed almost 87 templateYLabel[1] international tourists , making it the most visited country in the world in that templateXLabel[0] .
In templateXValue[max] , templateYValue[max] percent of the templateTitleSubject[0] templateTitleSubject[0] accessed the templateYLabel[3] , up from templateYValue[min] percent in the previous templateXLabel[0] . The templateTitleSubject[0] templateTitleSubject[0] are one of the biggest online markets worldwide and in 2018 , there were more than 312 million templateYLabel[3] users in the templateTitleSubject[0] templateTitleSubject[0] .
As of templateXValue[max] it is estimated that there is approximately templateYValue[max] thousand templateYLabel[2] of templateTitle[1] globally . In recent years , the lowest templateTitle[1] templateTitle[2] occurred in templateXValue[5] when there were just templateYValue[min] thousand templateYLabel[2] available . templateTitle[1] is considered one of the rarest and most valuable metals in the world .
There is no use denying that the way people consume newspapers and magazines has changed . As of templateXValue[max] , more than two thirds of individuals in templateTitleSubject[0] templateTitleSubject[0] were either reading or downloading templateTitle[0] templateTitle[1] , newspapers or magazines . This was more than three times the templateYLabel[0] of templateTitle[0] readers as compared to templateXValue[min] .
templateTitle[2] templateYLabel[1] in templateTitleSubject[0] reached an all-time high as of templateXValue[max] , when templateTitleSubject[0] templateTitle[1] auto industry sold some templateYValue[max] templateYLabel[2] templateYLabel[3] . This figure is almost double the templateTitleDate[0] templateYLabel[1] , when just templateYValue[min] templateYLabel[2] templateTitle[2] templateYLabel[3] were sold in templateTitleSubject[0] . templateTitle[2] industry in templateTitleSubject[0] In templateXValue[max] , templateTitle[2] vehicles also made up the majority of vehicles in production in templateTitleSubject[0] , followed by passenger vehicles .
In the third templateXLabel[0] of templateTitleDate[1] , the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitle[4] amounted to templateYValue[0] percent . templateYLabel[0] to templateYLabel[1] templateYLabel[2] explained The templateYLabel[0] to templateYLabel[1] financial templateYLabel[2] indicates the relationship between shareholders ' templateYLabel[1] and templateYLabel[0] used to finance the assets of a company . In order to make the calculation the data of the two required components are taken from the firm 's balance sheet .
The statistic shows the templateTitle[0] templateTitle[1] ( templateYLabel[0] ) of the templateTitleSubject[0] templateTitleSubject[0] club of Major League Soccer by templateTitle[0] in templateTitleDate[0] . templateXValue[0] templateXValue[0] received a salary of templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] in that year .
This statistic represents templateTitleSubject[0] 's templateYLabel[0] between the templateXValue[min] and templateXValue[max] fiscal years . In the templateXValue[max] fiscal templateXLabel[0] , the manufacturer of regional aircraft , business jets , mass transportation equipment and recreational equipment had revenues of templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateTitle[0] templateTitleSubject[0] templateTitle[2] templateYLabel[1] templateTitle[4] templateTitle[5] as of October 14 , templateTitleDate[0] . templateXValue[0] templateXValue[0] has hit the most templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] templateTitleSubject[0] franchise history with templateYValue[max] templateYLabel[1] templateYLabel[2] .
This statistic shows the templateYLabel[0] of selected templateTitleSubject[0] templateTitle[2] templateYLabel[1] templateYLabel[2] in the templateTitle[0] in templateTitleDate[0] , broken down templateTitle[5] templateTitle[6] . In that year , there were approximately templateYValue[max] templateYLabel[3] templateYLabel[4] templateYLabel[1] templateYLabel[2] were templateXValue[last] templateYLabel[1] .
There were over templateYValue[0] thousand templateYLabel[1] in the templateTitleSubject[0] templateTitleSubject[0] in templateXValue[max] , a decrease of almost 24 thousand templateYLabel[2] when compared with the previous templateXLabel[0] . Between templateXValue[min] and templateXValue[max] the templateXLabel[0] with the highest templateYLabel[0] of templateYLabel[1] templateYLabel[2] was templateXValue[6] when there were almost templateYValue[max] thousand templateYLabel[2] . Birth rate at a 15-year low At 11.4 templateYLabel[2] per 1,000 people , the birth rate of the templateTitleSubject[0] templateTitleSubject[0] in templateXValue[max] .
The timeline shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[5] in the templateTitle[0] from templateXValue[min] to templateXValue[max] . According to the report , the templateTitleSubject[0] templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[5] amounted to approximately templateYValue[0] templateYLabel[3] in templateXValue[max] .
This statistic shows the global templateYLabel[0] of templateTitle[1] templateTitle[2] templateTitle[3] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , earphones and headphones were estimated to have a market value of templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateTitle[3] .
This statistic shows the templateYLabel[0] templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] ( templateYLabel[1] ) of the templateTitle[0] in Q3 templateTitleDate[0] , templateTitle[6] templateXLabel[0] . In the third quarter of templateTitleDate[0] , the templateXLabel[0] of templateXValue[0] added about 2.79 templateYLabel[2] templateYLabel[3] ( 2012 ) templateYLabel[5] templateYLabel[6] of value to the templateYLabel[5] templateYLabel[0] templateYLabel[1] . Total templateYLabel[0] templateYLabel[1] amounted to about 19.12 templateYLabel[2] templateYLabel[3] ( 2012 ) templateYLabel[5] templateYLabel[6] .
As of December templateTitleDate[1] , the templateYLabel[0] of the templateTitleSubject[0] templateTitle[2] templateTitle[3] templateTitle[4] in the country of America , amounting to templateYValue[0] templateYLabel[1] templateYLabel[2] . The templateYLabel[0] to templateYLabel[1] is a range of the employees , is conducted by the outfield without touching the ground first . In December templateTitleDate[1] , the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] templateTitle[3] amounted to templateYValue[0] templateYLabel[2] templateYLabel[3] .
As of the company 's templateXValue[max] fiscal templateXLabel[0] , the templateTitleSubject[0] templateTitleSubject[0] employed more than templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateTitle[2] sales revenues , up from about templateYValue[1] templateYLabel[1] people in the previous templateXLabel[0] . The company templateTitle[2] templateYLabel[0] of global templateTitleSubject[0] templateYLabel[1] refers to around 2.5 templateYLabel[1] people as can be seen in the previous templateXLabel[0] .
This statistic shows the templateYLabel[0] of templateTitle[2] templateTitle[3] templateYLabel[1] in templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were approximately templateYValue[min] templateYLabel[2] templateTitle[2] templateTitle[3] templateYLabel[1] in templateTitleSubject[0] templateTitleSubject[0] , up from templateYValue[min] templateYLabel[2] in templateXValue[min] .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at approximately templateYValue[0] percent .
This statistic illustrates the templateYLabel[0] of templateTitleSubject[0] templateYLabel[1] templateYLabel[2] in the templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitleSubject[0] templateTitleSubject[0] had around templateYValue[max] templateYLabel[3] templateYLabel[1] templateYLabel[2] .
The templateYLabel[0] of solar templateTitle[3] templateTitle[4] in the templateTitle[0] has seen a fairly consistent decrease over the last few years . In December templateTitleDate[0] , module templateTitle[2] averaged templateYValue[min] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[5] , in comparison to templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[5] in templateXValue[2] templateTitleDate[0] . Solar system pricing has fallen in all markets , including residential , non-residential , and utility markets .
Since templateTitleDate[0] , the templateYLabel[0] templateYLabel[1] of templateTitle[2] in the templateTitle[3] has stayed more or less steady . In templateTitleDate[0] , the female templateYLabel[0] templateYLabel[1] was templateYValue[29] percent , and in 2018 , the templateYLabel[0] templateYLabel[1] was at templateYValue[0] percent . However , it reached a peak in 2000 at templateYValue[max] percent .
This statistic shows the templateYLabel[0] of templateYLabel[1] in templateTitleSubject[0] templateTitle[1] the templateTitle[2] in templateTitleDate[0] , templateTitle[4] templateXLabel[0] templateXLabel[1] . In templateTitleDate[0] , there were templateYValue[min] templateYLabel[1] people reported in templateXValue[0] in the templateTitle[1] .
As of December templateTitleDate[1] , buying a residential property in templateTitleSubject[1] cost on templateTitle[1] templateYValue[17] thousand templateYLabel[1] in the templateTitle[2] . This figure represented a decrease compared to the previous years . In fact , the templateTitle[1] templateYLabel[0] templateYLabel[2] templateYLabel[3] templateYLabel[4] templateTitle[3] residential templateTitle[4] in templateTitleSubject[1] has decreased steadily since December templateTitleDate[0] , when it registered a value of templateYValue[0] thousand templateYLabel[1] .
templateXValue[0] was the most popular templateTitle[1] templateTitle[2] templateXLabel[0] among templateTitle[0] templateTitle[1] templateTitle[2] users in templateTitleSubject[0] in templateTitleDate[0] . templateYValue[max] percent of internet users in templateTitleSubject[0] reported to have used templateXValue[0] on a templateTitle[0] basis . The templateTitle[1] templateTitle[2] templateXLabel[0] had 2.91 million users in 2016 and was forecast to have around 3.12 million users templateTitle[6] 2022 .
The statistic shows the templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] franchise from the 2001/02 season to the 2018/19 season . In 2018/19 , the estimated templateYLabel[0] of the National Basketball Association franchise amounted to templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] . templateTitleSubject[0] templateTitleSubject[0] The templateTitleSubject[0] templateTitleSubject[0] are a professional basketball franchise of the National Basketball Association ( NBA ) , entering the league as an expansion team in 1968 .
As of the fourth templateXLabel[0] of templateTitleDate[1] , the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitle[4] amounted to templateYValue[0] percent . templateYLabel[0] to templateYLabel[1] templateYLabel[2] templateYLabel[3] - additional information The templateYLabel[0] templateYLabel[1] to templateYLabel[2] templateYLabel[3] decreased in the third templateXLabel[0] of templateTitle[7] , which marked an increase compared to fourth templateYLabel[2] templateYLabel[3] for the previous templateXLabel[0] . In 2018 , the templateTitle[3] templateYLabel[1] increased from templateYValue[min] templateYLabel[2] to approximately templateYValue[0] templateYLabel[2] templateYLabel[3] .
This statistic presents the templateTitle[1] templateTitle[2] templateTitle[3] of internet users in the templateTitle[0] as of March templateTitleDate[1] . During the most recent survey period , templateYValue[0] percent of templateYLabel[1] stated they purchased goods templateTitle[1] at templateXValue[0] templateXValue[0] a templateXValue[0] .
This statistic shows the templateYLabel[0] of templateYLabel[1] who have obtained a legal divorce and have not remarried in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , about templateYValue[max] templateTitleSubject[0] 's templateYLabel[1] were reported in templateTitleSubject[0] .
This statistic shows the templateYLabel[0] of templateTitle[2] templateTitleSubject[0] chat app users from the first templateXLabel[0] of templateTitleDate[0] to the fourth templateXLabel[0] of templateTitleDate[1] . In the most recently reported templateXLabel[0] , the website 's templateYLabel[0] templateYLabel[1] amounted to templateYValue[0] templateYLabel[2] templateYLabel[3] . templateTitleSubject[0] belongs to Alibaba , one of the leading e-commerce companies in China and worldwide .
As of the third quarter of templateTitleDate[0] , it was found that templateYValue[0] percent of templateTitle[0] users in the templateTitleSubject[0] templateTitleSubject[0] accessed the social platform templateXValue[0] templateXValue[0] a templateXValue[0] . A further templateYValue[1] percent of templateYLabel[1] claimed that they used templateTitle[0] on a templateXValue[1] basis .
In templateXValue[max] , the templateYLabel[0] of templateTitleSubject[0] templateTitleSubject[0] templateYLabel[1] templateTitle[4] from the fiscal templateXLabel[0] of templateXValue[min] to the fiscal templateXLabel[0] of templateXValue[max] . As of the fiscal templateXLabel[0] , the company employed around templateYValue[0] people worldwide .
Between templateXValue[min] and templateXValue[max] , each templateXLabel[0] roughly between 134,000 and 153,000 people died in the templateTitleSubject[0] . From templateXValue[4] onwards , the templateYLabel[0] of templateYLabel[1] increased annually , peaking in templateXValue[max] at roughly 153,000 . That templateXLabel[0] , women were on average 81 years old when they died , men were five years younger .
As of templateXValue[0] templateXValue[0] , the anime-focused subscription video-on-demand company templateTitleSubject[0] had around templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] in the country . templateTitleSubject[0] is an increase of about 0.55 templateYLabel[1] templateYLabel[2] templateYLabel[3] in the world . The company 's templateTitleSubject[0] templateXLabel[0] ( net sales ) based in terms of its proximity to sedans and smaller cars in the country by developing new designs and products . What of research and development activities In light of an increased concern from consumers and policymakers about the impact of fossil fuels on carbon dioxide emissions , templateTitleSubject[0] is working on a new fleet of electric vehicles with a goal of having sixteen plug-in electric vehicle models to market through 2022 .
The statistic shows the per-capita gross domestic product ( templateYLabel[0] ) of templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the per-capita templateYLabel[0] of Saudi-Arabia amounted to approximately templateYValue[7] templateYLabel[3] templateYLabel[4] .
The statistic shows the templateYLabel[1] in real templateYLabel[0] in templateTitleSubject[0] from between templateXValue[min] to templateXValue[7] , with projections up until templateXValue[max] . In templateXValue[6] , templateTitleSubject[0] 's real templateTitle[0] templateTitle[1] templateTitle[2] grew by around templateYValue[6] percent templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic shows the templateTitle[1] templateYLabel[0] templateYLabel[1] in the templateTitle[3] from templateXValue[min] to templateXValue[2] with additional projections up to templateXValue[max] . The data represents templateTitle[5] city averages . The base period was 1982 - 84 .
This statistic shows the total templateTitle[0] templateYLabel[0] on templateTitle[2] and other templateTitle[4] for pets in the United Kingdom from templateXValue[min] to templateXValue[max] , based on templateTitle[7] . In templateXValue[max] , households purchased over templateYValue[max] templateYLabel[1] British pounds worth of templateTitle[2] and other templateTitle[4] for their pets .
This statistic shows the total templateTitleSubject[0] templateTitleSubject[0] ( UK ) templateTitle[2] templateYLabel[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] from templateXValue[min] to templateXValue[max] . In the most recent period , the templateTitle[2] templateTitle[3] templateYLabel[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] amounted to approximately templateYValue[0] percent .
This statistic shows the templateYLabel[0] of templateTitle[2] in the templateTitle[1] templateTitle[3] were templateTitleSubject[0] users as of April templateTitle[6] , sorted templateTitle[7] templateTitle[8] group . During that period of time , templateYValue[max] percent of templateTitleSubject[0] teens aged 15 to 17 years used the social networking app .
As of early templateTitleDate[0] , templateXValue[0] and templateXValue[1] were the templateTitleSubject[0] commonly used templateTitle[3] templateTitle[4] templateTitle[5] software templateTitle[6] around the world , with nearly templateYValue[max] percent of templateYLabel[1] stating that they used templateXValue[0] and templateYValue[1] percent using templateXValue[1] . templateXValue[2] . templateXValue[3] , and templateXValue[4] rounded out the top templateYValue[18] templateTitleSubject[0] templateTitle[1] used templateTitle[3] templateTitle[4] around the world .
This statistic shows the templateYLabel[0] of templateTitleSubject[1] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of templateTitleSubject[1] templateYLabel[1] in templateTitleSubject[0] is expected to reach templateYValue[max] templateYLabel[2] , up from templateYValue[min] templateYLabel[2] in templateXValue[min] .
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[min] percent .
The timeline shows the total templateTitle[0] templateYLabel[0] templateYLabel[1] in the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , it is expected that around templateYValue[max] templateYLabel[2] templateYLabel[3] in the templateTitleSubject[0] templateTitleSubject[0] .
This statistic illustrates the global templateYLabel[0] of templateTitle[2] templateTitle[3] templateTitle[4] in selected countries in templateTitleDate[0] . In that year , it was estimated that the templateYLabel[0] of templateTitle[2] templateTitle[3] templateTitle[4] in the region with an templateYLabel[0] templateYLabel[1] of templateYValue[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
Between templateTitle[4] and templateTitle[5] , the immigration numbers in templateTitleSubject[0] were largely influenced templateTitle[6] citizens from Africa . templateXValue[0] represented the most frequent origin templateXLabel[0] declared upon arrival , followed templateTitle[6] templateXValue[1] templateXValue[1] and templateXValue[2] . Between January templateTitle[4] and January templateTitle[5] , templateYValue[max] thousand Tunisians templateTitle[2] on the Italian shores , while the templateYLabel[0] of people from templateXValue[1] templateXValue[1] amounted to templateYValue[1] thousand .
The graph shows the templateYLabel[0] of templateTitle[2] templateTitle[3] templateTitle[4] templateYLabel[1] in the templateTitle[0] in templateTitleDate[0] , templateTitle[6] templateXLabel[0] templateXLabel[1] . In templateTitleDate[0] , there were over templateYValue[max] percent of templateTitle[2] templateTitle[3] app templateYLabel[1] in the templateTitle[5] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] household end users in templateTitleSubject[0] templateTitle[7] from templateXValue[0] to templateXValue[last] . In the first half of templateXValue[12] , the average templateTitle[0] price templateTitle[2] templateTitle[3] was 17.6 templateYLabel[0] templateYLabel[1] templateYLabel[2] kWh and had increased to templateYValue[max] the following templateXLabel[0] .
The statistic shows the templateTitleSubject[0] of templateYLabel[0] templateYLabel[1] templateTitle[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] templateTitle[2] in the templateTitleSubject[0] amounted to approximately templateYValue[0] templateYLabel[2] templateYLabel[3] .
In templateXValue[max] , the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] ( or templateYLabel[2] ) in the templateTitleSubject[0] templateTitle[6] templateTitle[7] dropped by two percent over the previous templateXLabel[0] 's templateYValue[2] percent . templateYLabel[2] within the sector is predicted to decrease by two percent in templateXValue[max] . templateTitle[1] in the templateTitleSubject[0] hotel industryThe templateTitle[5] hotel templateTitle[7] reached an average templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] ( templateYLabel[2] ) of 86.76 templateTitleSubject[0] dollars in templateXValue[1] .
This statistic shows the templateYLabel[0] of recreational templateYLabel[1] to the templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] in the templateTitle[6] from templateXValue[min] to templateXValue[max] . The templateYLabel[0] of templateYLabel[1] to the templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] amounted to approximately templateYValue[0] templateYLabel[2] in templateXValue[max] .
In templateXValue[max] , approximately templateYValue[0] templateYLabel[1] templateYLabel[0] in the templateTitle[0] had no templateTitle[3] templateTitle[4] . The share of templateTitleSubject[0] templateTitle[2] templateTitle[3] templateTitle[4] was steadily decreasing until templateXValue[3] , but has been increasing since templateXValue[1] . The Tax Cuts and Jobs Act of templateXValue[1] caused this change , because it repealed the individual mandate , which penalized individuals for failing to maintain templateTitle[3] coverage .
The statistics shows the templateYLabel[0] of registered templateTitle[0] templateTitle[1] templateYLabel[1] in the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[last] to templateXValue[0] . In the templateXValue[0] season , there were a total of templateYValue[max] registered templateTitle[0] templateTitle[1] templateYLabel[1] in the templateTitleSubject[0] templateTitleSubject[0] according to the International templateTitle[0] templateTitle[1] Federation .
This graph depicts the templateYLabel[1] of the templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] templateYLabel[0] of the National Basketball Association from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] had an estimated templateYLabel[1] of templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
The statistic represents the annual templateYLabel[0] of the templateTitleSubject[0] templateTitle[2] templateTitle[3] templateTitle[4] from templateXValue[min] to templateXValue[max] . It is expected that the templateYLabel[0] of templateTitle[1] templateTitle[2] will reach some templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] templateYLabel[5] in templateXValue[max] .
In templateXValue[max] , the total templateYLabel[0] of companies templateYLabel[1] in templateTitleSubject[0] was templateYValue[0] . This was the highest level of templateYLabel[0] reached since templateXValue[7] , when the templateYLabel[0] was at templateYValue[max] templateYLabel[1] . Of the templateYValue[0] Benelux countries , the templateTitleSubject[0] saw the lowest templateYLabel[0] .
As of templateXValue[max] , the templateYLabel[0] of templateTitle[2] templateTitleSubject[0] templateTitleSubject[0] ( WTI ) has increased significantly since templateXValue[min] , reaching a peak of templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] in the country . This figure is projected to increase to templateYValue[max] templateYLabel[2] in templateXValue[max] .
This statistic shows the templateYLabel[0] of templateTitleSubject[0] templateTitleSubject[0] templateYLabel[1] from the fiscal templateXLabel[0] of templateXValue[min] to the fiscal templateXLabel[0] of templateXValue[max] . In the fiscal templateXLabel[0] of templateXValue[max] , the German automotive company employed some templateYValue[0] templateYLabel[2] templateYLabel[1] .
This statistic presents templateTitleSubject[0] 's templateTitle[1] templateTitle[2] templateYLabel[0] templateYLabel[1] from templateXValue[last] to December templateTitleDate[1] . As of the last reported period , the German app company had an templateYLabel[0] templateYLabel[1] of templateYValue[max] templateYLabel[2] templateYLabel[3] , up from templateYValue[1] templateYLabel[2] templateYLabel[3] in 2019 .
The templateYLabel[0] of templateTitleSubject[0] Inc. , the Montreal-based dairy company , reached approximately templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateXValue[max] . Their templateYLabel[0] has gradually increased year-on-year from templateYValue[min] templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateXValue[min] . templateTitleSubject[0] Inc. templateTitleSubject[0] Inc. produces , markets and distributes dairy products .
This graph depicts the templateYLabel[0] templateYLabel[1] templateYLabel[2] for templateTitleSubject[0] templateTitleSubject[0] templateTitle[6] of the National Basketball Association from templateXValue[last] to templateXValue[0] . In the templateXValue[last] season , the templateYLabel[0] templateYLabel[1] templateYLabel[2] was templateYValue[min] templateYLabel[3] templateYLabel[4] .
This statistic shows the main templateTitleSubject[0] templateTitle[3] templateTitle[4] templateTitle[5] in templateTitleDate[0] . That year , the templateXValue[1] templateXValue[1] was the second leading importer of templateTitleSubject[0] templateTitle[5] , with imports valued at approximately templateYValue[1] percent . The templateXValue[1] templateXValue[1] came in second at templateYValue[max] percent .
The timeline shows the templateYLabel[0] of templateTitle[0] templateTitle[1] templateYLabel[1] templateYLabel[2] in the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[4] , there were a total of templateYValue[3] templateYLabel[3] templateYLabel[1] templateYLabel[2] in the templateTitleSubject[1] .
The statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[3] templateYLabel[4] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , templateYValue[min] templateYLabel[5] people accessed the templateYLabel[3] through their templateYLabel[1] templateYLabel[2] . In templateXValue[max] , this figure is projected to amount to templateYValue[max] templateYLabel[5] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This statistic shows the templateYLabel[0] of templateYLabel[1] of templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] worldwide . In templateXValue[max] , templateTitleSubject[0] templateTitleSubject[0] employed templateYValue[0] people .
Video streaming giant templateTitleSubject[0] had a total templateYLabel[0] templateYLabel[1] of over templateYValue[0] templateYLabel[2] templateYLabel[3] templateYLabel[4] in templateXValue[max] , whilst the company 's annual revenue reached 20.15 templateYLabel[2] templateYLabel[3] templateYLabel[4] . The number of templateTitleSubject[0] 's streaming subscribers worldwide has continued to grow in recent years , reaching 167 templateYLabel[2] in the fourth quarter of templateXValue[max] . Three years earlier , in the fourth quarter of templateXValue[4] , the figure stood at 74.76 templateYLabel[1] British pounds in the first time .
The figure shows the templateYLabel[0] of templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[1] in the templateTitleSubject[0] templateTitleSubject[0] ( templateTitleSubject[1] ) from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the volume of templateTitle[1] templateTitle[2] had an increase of around templateYValue[max] templateYLabel[2] templateYLabel[3] .
In the fourth templateXLabel[0] of templateTitleDate[1] , templateTitleSubject[0] 's templateYLabel[0] templateYLabel[1] amounted to templateYValue[0] templateYLabel[2] templateYLabel[3] templateYLabel[4] , up from the previous templateXLabel[0] . The templateYLabel[0] templateYLabel[1] amounted to over 900 templateYLabel[2] templateYLabel[3] templateYLabel[4] in the corresponding templateXLabel[0] of the previous year .
According to a templateTitleDate[0] survey , templateXValue[0] for the templateTitle[1] of templateTitle[2] templateTitle[3] for electricity generation in the templateTitleSubject[1] outweighed opposition . Of templateYLabel[1] , 35 percent supported its templateTitle[1] , compared to 23 percent who opposed it . Despite templateTitle[2] disasters occurring as recently as 2011 , when a tsunami hit a power plant in Fukushima , Japan , approximately 34 percent of templateTitleSubject[1] residents believe it provides a safe source of templateTitle[3] .
Mangos are native to South and Southeast Asia and are now enjoyed all over the world . The templateTitleSubject[0] templateTitle[2] volume of mangos , mangosteens , and guavas reached templateYValue[max] templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateXValue[max] , an increase from templateYValue[1] templateYLabel[0] templateYLabel[1] templateYLabel[2] in the templateXValue[1] . templateTitle[1] templateTitle[2] in Asia Much of the world 's mangos come from the Asia Pacific region , specifically India and China .
templateTitleSubject[1] templateTitle[4] templateTitleSubject[1] is a luxury templateTitleSubject[0] fashion house founded in a small town cose to Milan in 1985 by the two templateTitleSubject[0] designers Domenico templateTitleSubject[1] and Stefano templateTitleSubject[1] . This timeline illustrates the turrnover of the templateTitleSubject[0] luxury fashion templateTitle[2] templateTitleSubject[1] templateTitle[4] templateTitleSubject[1] between templateXValue[min] and templateXValue[max] . In templateXValue[max] , the total templateTitle[0] of templateTitleSubject[1] templateTitle[4] templateTitleSubject[1] amounted to over templateYValue[0] templateYLabel[1] templateYLabel[2] , a decrease compared to the previous templateXLabel[0] .
This graph depicts the templateYLabel[1] of the templateTitleSubject[0] templateTitleSubject[0] templateYLabel[0] of the National Basketball Association from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] had an estimated templateYLabel[1] of templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
During the year templateTitleDate[0] , the total templateTitle[3] exports templateTitle[4] templateTitleSubject[0] to the templateXValue[0] templateXValue[0] amounted to about templateYValue[max] templateYLabel[2] of 75 cl . templateYLabel[1] . The UK is the first templateTitle[1] market for French templateTitle[3] .
The statistic shows the templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] franchise from the 2001/02 season to the 2017/18 season . In 2017/18 , the estimated templateYLabel[0] of the National Basketball Association franchise amounted to templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] . templateTitleSubject[0] templateTitleSubject[0] - additional information The templateTitleSubject[0] templateTitleSubject[0] are a professional basketball team that is part of the National Basketball Association ( NBA ) .
The statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateTitle[2] a templateTitleSubject[0] subscription in the templateTitle[4] in templateXValue[min] and templateXValue[max] . In the presented time period , the templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateTitle[2] templateTitleSubject[0] rose from templateYValue[min] percent to templateYValue[max] percent .
This statistic shows the templateYLabel[0] templateYLabel[1] in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in the templateTitleSubject[0] was at approximately templateYValue[0] percent .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . The templateYLabel[0] templateYLabel[1] is the templateYLabel[1] that divides a templateTitle[2] into two numerically equal groups ; that is , half the people are younger than this templateYLabel[1] and half are older . It is a single index that summarizes the templateYLabel[1] distribution of a templateTitle[2] .
As of early templateTitleDate[0] , templateXValue[0] templateXValue[0] is the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[4] templateTitle[5] templateTitle[6] in the templateTitleSubject[0] templateTitleSubject[0] ( templateTitleSubject[1] ) with a total of templateYValue[max] percent . This marked a new record , and templateXValue[1] templateXValue[2] ranked second and third at templateYValue[1] and templateYValue[2] percent . templateTitleSubject[0] 's access Worldwide , the number of templateTitle[1] users .
The statistic shows the templateYLabel[0] of templateTitle[1] templateTitle[2] templateYLabel[1] in the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[max] templateYLabel[2] people were living in the templateTitleSubject[0] templateTitleSubject[0] .
In the fourth templateXLabel[0] of templateXValue[0] , music streaming service templateTitleSubject[0] reported templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[1] in the first templateXLabel[0] of templateTitle[6] , up from templateYValue[1] templateYLabel[2] templateYLabel[3] in the preceding fiscal templateXLabel[0] . templateTitleSubject[0] operates under the parent company Alphabet Inc .
The timeline shows the templateYLabel[0] templateYLabel[1] of templateYLabel[2] templateYLabel[3] templateYLabel[4] in the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of templateYLabel[2] templateYLabel[3] of the templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] was about templateYValue[0] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
The statistic shows the templateYLabel[1] in real templateYLabel[0] in templateTitleSubject[0] from between templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , templateTitleSubject[0] 's real templateTitle[0] templateTitle[1] templateTitle[2] had increased by around templateYValue[6] percent templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic displays the distribution of templateTitle[1] templateTitle[2] templateYLabel[1] templateTitle[5] region in templateTitleDate[0] . During the survey , templateYValue[max] percent of the total templateYLabel[1] templateTitle[1] templateXValue[0] templateXLabel[0] templateTitle[2] the templateTitle[0] . Residential construction involves the building and selling of both individual and multi-family dwellings .
This statistic shows the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to about templateYValue[6] percent templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
As of templateTitleDate[0] , templateYValue[max] percent of U.S.-based templateYLabel[1] stated that their favorite moving watching location was at templateXValue[1] . Only around templateYValue[0] percent of templateYLabel[1] stated that they templateTitle[0] to watch movies in a theatre , while templateYValue[3] percent stated that they like the theatre and templateXValue[1] options templateXValue[3] . templateXValue[0] viewership Movies have long been a staple of the entertainment industry in templateXValue[3] the templateTitle[4] and across the globe .
In the UK , templateYValue[max] percent of the population shop templateTitle[4] and the consumers ' favorite item to buy templateTitle[4] were templateXValue[0] and templateXValue[0] templateXValue[0] . According to the templateTitleDate[0] results of an annual interview conducted by the Office templateXValue[4] National Statistics , more than 40 percent of individuals in the United Kingdom ( UK ) templateTitle[3] templateXValue[2] templateXValue[2] , templateXValue[1] templateXValue[0] and event templateXValue[3] templateTitle[4] . templateXValue[10] and products least templateTitle[1] with templateTitle[4] consumers were templateXValue[12] , templateXValue[9] templateXValue[11] and templateXValue[10] templateXValue[10] , which only less than 20 percent of households choose to purchase templateTitle[4] .
This graph depicts the total templateTitle[0] templateTitle[1] templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] templateTitleSubject[0] templateTitle[6] franchise of the National Football League from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitle[1] templateYLabel[0] templateYLabel[1] of the franchise was templateYValue[0] .
The statistic shows the templateYLabel[0] of templateTitleSubject[0] templateTitle[4] templateTitleSubject[0] templateTitle[3] from templateXValue[min] to templateXValue[max] , in templateYLabel[1] . In templateXValue[max] , templateTitle[5] templateTitle[6] templateYLabel[0] amounted to around templateYValue[0] templateYLabel[1] people , up from templateYValue[1] templateYLabel[1] templateYLabel[2] in the templateXLabel[0] before . templateTitleSubject[0] is the leading global fashion company in the world , followed templateTitle[4] of online sales .
As of the third quarter of templateTitleDate[0] , it was found that templateYValue[max] percent of templateTitleSubject[0] users in the templateTitleSubject[1] templateTitleSubject[1] accessed the photo sharing app templateXValue[0] templateXValue[0] a templateXValue[0] . A further templateYValue[1] percent of the templateYLabel[1] claimed that templateTitle[0] on a templateXLabel[0] templateXLabel[1] .
In templateXValue[max] , templateTitleSubject[0] templateTitle[1] templateTitle[2] templateYLabel[0] templateYLabel[1] amounted to approximately templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] . The company is most well-known for denim jeans brand , templateTitleSubject[0] 's , however they produce many different types of apparel products . templateTitleSubject[0] ? templateTitleSubject[0] is one of the biggest in the world .
templateTitleSubject[0] 's templateTitle[2] templateTitle[3] templateTitle[4] in the country reached templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] as of December templateTitleDate[1] . This was an increase from the total number of templateXValue[1] to over templateYValue[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] . templateXValue[0] and templateXValue[1] were the second most expensive company in the world , with a total of 5.8 templateYLabel[2] templateYLabel[3] templateYLabel[4] .
The templateYLabel[0] templateYLabel[1] of templateTitle[3] templateTitle[4] in the templateTitle[7] increased moderately in the templateXValue[5] 's , rising from templateYValue[min] templateYLabel[2] templateYLabel[3] in templateXValue[min] to templateYValue[max] templateYLabel[2] templateYLabel[3] in templateXValue[max] . templateTitle[3] templateTitle[4] A templateTitle[3] fill is a treatment templateTitle[2] nails which already have a templateTitle[3] polish applied , and is designed to fill in the small gap that occurs between the cuticle and the base of the templateTitle[3] polish after several weeks of growth . templateTitle[3] polishes can either be ‘ soft ' _ , where the treatment does not extend beyond the edge of the natural templateTitle[5] , or ‘ hard ' _ , where a harder form of templateTitle[3] can be used to create templateTitle[5] extensions .
This statistic gives information on the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] templateTitle[1] shoppers as of January templateTitleDate[0] . During that month , templateXValue[0] accounted for templateYValue[max] templateYLabel[2] templateYLabel[3] dollars used the website .
This statistic shows the 25 templateTitle[0] templateTitle[1] in the templateTitleSubject[0] templateTitleSubject[0] ( templateTitleSubject[1] ) as of September templateTitleDate[0] , based on January templateTitleDate[1] . In September templateTitleDate[0] , the templateTitle[2] had a templateTitle[0] of nearly templateYValue[0] templateYLabel[0] templateYLabel[1] templateYLabel[2] templateTitle[4] . The highest templateYLabel[0] templateYLabel[1] in the templateTitleSubject[0] templateTitleSubject[0] is found back to templateYValue[max] percent in comparison to the previous templateXLabel[0] templateYLabel[0] .
This statistic shows the worldwide templateYLabel[0] of templateTitleSubject[0] market mergers and acquisitions ( templateTitleSubject[0] templateTitle[3] A ) templateTitle[7] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , based on the values of disclosed templateTitle[4] , the templateTitleSubject[0] 's templateTitleSubject[0] templateTitle[3] A deals amounted to templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] of templateYLabel[1] in templateTitle[1] templateTitle[2] in the templateTitle[3] templateTitle[4] templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of templateYLabel[1] ( aged six years and older ) in templateTitle[1] templateTitle[2] amounted to approximately templateYValue[0] templateYLabel[2] .
The timeline shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[5] in the templateTitle[0] from templateXValue[min] to templateXValue[max] . According to the report , the templateTitleSubject[0] templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[5] amounted to approximately templateYValue[0] templateYLabel[3] in templateXValue[max] . In the same templateXLabel[0] , the templateYLabel[2] of templateTitle[4] fruit in the templateTitleSubject[0] amounted to about 115.14 templateYLabel[3] .
As of templateXValue[max] it is estimated that there is approximately templateYValue[max] thousand templateYLabel[2] templateYLabel[3] in templateTitleSubject[1] templateTitleSubject[1] . In recent years , the templateYLabel[0] of templateTitleSubject[1] included between templateYValue[min] and templateXValue[4] . In templateXValue[1] , the templateYLabel[0] of migrants setting foot in the country peaked in templateXValue[4] at around templateYValue[min] thousand templateYLabel[1] .
This statistic shows the countries with the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] in templateTitleDate[0] . In that year , templateXValue[0] was the biggest templateYLabel[0] of templateTitle[2] templateYLabel[1] with templateTitle[1] templateTitle[2] in the region , generating templateYValue[max] templateYLabel[2] templateYLabel[1] .
This statistic shows the templateYLabel[0] of templateTitleSubject[0] users who accessed templateTitle[2] through templateTitle[3] templateTitle[4] as of templateTitleDate[0] , sorted templateTitle[6] templateTitle[7] group . During the survey period , templateYValue[1] percent of templateYLabel[1] aged templateYValue[3] to 34 said that they had accessed templateTitle[2] via templateTitle[3] templateTitle[4] in the six months preceding the survey .
This statistic displays the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateTitleDate[0] to templateTitleDate[1] . In templateTitleDate[1] , templateYLabel[0] in templateTitleSubject[0] was templateYValue[0] percent .
As of templateXValue[max] , the templateYLabel[0] of templateTitle[2] rapes in the templateTitleSubject[0] templateTitleSubject[0] has been steadily declining , and in templateXValue[max] , there were templateYValue[min] births templateYLabel[2] 1,000 of the templateYLabel[4] . In templateXValue[min] , this figure stood at templateYValue[max] percent . templateTitle[2] – the templateYLabel[0] of templateTitle[2] templateTitle[3] in the templateTitleSubject[0] templateTitleSubject[0] has been relatively stable in recent years .
This statistic shows the templateXLabel[0] templateTitle[3] templateTitle[4] of templateTitle[0] and templateTitle[1] templateTitle[2] in the templateTitleSubject[0] templateTitleSubject[0] ( templateTitleSubject[1] ) as of January templateTitleDate[1] . In September templateTitleDate[1] , templateYLabel[0] decreased to a templateTitle[4] of 1.31 percent . templateTitle[3] templateYLabel[0] templateYLabel[1] by templateTitleSubject[0] .
This statistic shows the share of internet users in the templateTitleSubject[0] templateTitleSubject[0] who were using templateTitle[0] as of January templateTitleDate[0] , sorted templateTitle[6] annual templateTitle[7] templateTitle[8] . We Are Flint found that templateYValue[0] percent of internet users with templateTitle[7] earnings of templateXValue[0] templateXValue[0] 30,000 US dollars per templateXLabel[0] used the social networking site .
In templateTitleDate[0] , it was estimated that around templateYValue[max] thousand templateYLabel[2] templateTitle[2] in the templateXValue[0] templateXValue[0] , which was the largest producer of the templateTitle[2] in terms of any templateXLabel[0] . templateYLabel[3] spectrum disorder ( ASD ) includes a variety of disorders . The `` spectrum '' denotes the range of symptoms as well as in both print and vegan cuisine .
In templateXValue[max] , the templateTitle[1] templateYLabel[0] of templateTitle[3] templateTitle[4] in templateTitleSubject[0] amounted to about templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] , all types included . The templateTitle[0] realized templateYLabel[0] of templateTitle[3] templateTitle[4] remained fairly steady throughout the years until templateXValue[3] , when it decreased to below templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] . templateTitle[3] templateTitle[4] The templateTitle[0] templateYLabel[0] serves as an indicator for a variety of different selling prices on the templateTitle[4] market , gathering all templateYLabel[0] ranges of templateTitle[3] wines purchased in templateTitleSubject[0] .
In templateTitleDate[0] , templateXValue[0] was the leading templateTitleSubject[0] templateYLabel[0] of any country in the world in the world , with a templateYLabel[1] of templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] templateYLabel[5] . templateXValue[1] was ranked the second templateYLabel[0] of diabetes-related templateYLabel[2] templateYLabel[3] templateYLabel[4] .
The statistic shows templateTitleSubject[0] 's templateTitle[1] templateYLabel[0] templateYLabel[1] from the fiscal templateXLabel[0] of templateXValue[min] to the fiscal templateXLabel[0] of templateXValue[max] . In the fiscal templateXLabel[0] of templateXValue[max] , the Volkswagen Group sold some templateYValue[0] templateYLabel[2] templateYLabel[3] templateYLabel[4] templateYLabel[5] in the country .
A survey in templateTitleDate[0] reveals that templateXValue[0] and templateXValue[2] templateTitle[1] templateXValue[2] in the templateTitle[0] in templateTitleDate[0] . The survey revealed that templateYValue[max] percent of templateTitleSubject[0] adults were templateXValue[0] the templateXValue[0] templateXValue[0] , while templateYValue[min] percent citing templateXValue[1] templateXValue[1] templateTitle[1] , as the templateTitleSubject[0] templateTitle[1] issue for the templateXValue[2] . The templateTitle[4] templateXValue[2] The templateTitle[4] templateXValue[2] is a somewhat broad concept , including all organized events to present or display a selection of some type of item . At one end of the spectrum this includes public exhibitions of art or history in a gallery or museum , while at the templateXValue[6] end are templateXValue[6] fairs , where goods and services associated templateXValue[6] a specific to update the style and prescription of their spectacles has helped retail value sales of templateTitle[4] to finally return to their pre-recessionary levels in 2012.Contact lenses once again outperformed spectacles in templateTitleDate[0] , continuing a trend that has been ongoing for many years .
This statistic shows the illustrates of the templateTitle[0] of young people between the ages of templateTitle[9] to templateTitle[10] in the templateTitle[1] templateTitle[4] templateXValue[min] to templateXValue[max] . In templateXValue[max] , approximately templateYValue[0] templateYLabel[3] young people templateTitle[4] that templateTitle[7] templateTitle[8] lived in the templateTitle[1] .
This statistic displays the ten templateTitle[0] templateTitle[1] in templateTitleSubject[0] as of templateTitleDate[0] . In templateTitleDate[0] , around templateYValue[max] templateYLabel[1] people lived in templateXValue[0] , making it the templateTitle[0] city in templateTitleSubject[0] .
templateTitle[2] templateYLabel[1] at templateTitle[3] establishments in templateTitleSubject[0] have been steadily rising each templateXLabel[0] since the start of the decade . In templateXValue[max] , a record templateYValue[max] templateYLabel[2] tourists ( including residents and non-residents ) arrived at templateTitle[3] in templateTitleSubject[0] . Tourism in templateTitleSubject[0] In line with trends across Europe , tourism in templateTitleSubject[0] has experienced a boost in the last ten years .
As of templateTitleDate[0] , the templateXValue[0] templateXValue[0] accounted for templateYValue[max] and templateYValue[max] percent of templateTitle[2] templateTitle[4] in templateTitle[5] . That year , the U.S. templateYLabel[1] of templateXValue[1] was responsible for over 11 percent of the world 's templateYLabel[3] . Global templateTitleSubject[0] audiences in the world .
This statistic shows the templateTitle[0] templateYLabel[0] of templateTitle[2] templateTitle[3] in leading countries in templateTitleSubject[0] in templateTitleDate[0] . templateXValue[0] has the highest levels of templateTitle[3] templateYLabel[0] templateYLabel[1] , at templateYValue[max] percent .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at approximately templateYValue[0] percent . templateTitleSubject[0] 's population and economy The Republic of templateTitleSubject[0] is a sovereign state archipelago in Southeast Asia , composed of more than 17,000 islands .
As of January templateTitleDate[0] , templateXValue[0] templateXValue[0] was the most popular templateTitle[1] templateTitle[2] rub in the templateTitle[3] with templateYValue[max] thousand templateYLabel[2] templateTitleSubject[0] templateYLabel[3] . templateXValue[1] ranked second with an audience of almost templateYValue[1] thousand templateYLabel[2] templateYLabel[3] , making it the largest producer in the templateTitle[3] .
The statistic shows the templateYLabel[0] of the baby food templateTitle[3] worldwide in templateXValue[min] and templateXValue[max] . In templateXValue[min] , the templateTitleSubject[0] baby food templateTitle[3] was valued at approximately templateYValue[min] templateYLabel[1] templateYLabel[2] templateYLabel[3] . Baby food The templateTitleSubject[0] baby food templateTitle[3] comprises foods intended for the special templateTitle[2] of babies and infants .
The templateTitleSubject[0] templateTitleSubject[0] of templateTitleSubject[0] ( templateTitle[1] ) has been increasing over the last few years . As of templateXValue[max] , templateTitleSubject[0] 's total templateYLabel[0] templateYLabel[1] was estimated to be around templateYValue[0] templateYLabel[2] templateYLabel[3] between the previous templateXLabel[0] . A ranking of templateTitle[2] with the highest in the last Norwegian templateTitle[3] has been controlled over the past decade .
The figure shows the templateYLabel[0] of households templateTitle[2] templateTitle[3] templateTitle[4] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . Over the time period under consideration , templateTitle[3] oven ownership has decreased from templateYValue[max] percent of templateYLabel[1] in templateXValue[min] to templateYValue[min] percent in templateXValue[max] .
templateTitle[2] templateYLabel[1] in templateTitleSubject[0] reached an all-time high as of templateXValue[max] , when templateTitleSubject[0] templateTitle[1] auto industry sold some templateYValue[max] templateYLabel[2] templateYLabel[3] . This figure is almost double the templateTitleDate[0] templateYLabel[1] , when just templateYValue[min] templateYLabel[2] templateTitle[2] templateYLabel[3] were sold in templateTitleSubject[0] . templateTitle[2] industry in templateTitleSubject[0] In templateXValue[max] , templateTitle[2] vehicles also made up the majority of vehicles in production in templateTitleSubject[0] , followed by passenger vehicles .
This statistic shows a timeline with the amount of monthly templateYLabel[2] templateTitle[0] templateTitleSubject[0] templateYLabel[3] worldwide as of December templateTitleDate[1] . As of that templateXLabel[0] , the mobile messaging app announced more than templateYValue[max] templateYLabel[4] templateYLabel[1] templateYLabel[2] templateYLabel[3] , up from over templateYValue[1] templateYLabel[4] in February 2016 . The service is one of the most popular mobile apps worldwide .
This statistic presents the templateTitle[0] networking reach in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , templateYValue[min] percent of the templateYLabel[1] in the country accessed templateTitle[0] templateTitle[1] . In templateXValue[4] , this templateYLabel[0] is projected to reach templateYValue[4] percent .
The timeline shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateYLabel[3] in the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the health templateTitle[1] templateTitle[2] generated a total of templateYValue[max] percent compared to the previous templateXLabel[0] .
In templateTitleDate[0] , there were approximately templateYValue[max] templateYLabel[2] templateTitle[2] network in the templateTitleSubject[0] templateTitleSubject[0] , making it the most expensive templateXLabel[0] templateXLabel[1] in the world . The templateYLabel[0] of cannabis-related templateYLabel[1] was highest in the world , at templateYValue[max] templateYLabel[2] templateTitle[2] in templateTitle[2] . After templateYValue[14] templateYLabel[2] are defined as the most expensive templateXLabel[0] , who was the most likely templateXLabel[0] on the list .
In templateXValue[5] , the templateYLabel[0] of templateTitleSubject[1] templateYLabel[1] in templateTitleSubject[0] amounted to templateYValue[5] templateYLabel[2] and is projected to grow to templateYValue[max] templateYLabel[2] in templateXValue[max] . The current templateTitleSubject[1] usage penetration in templateTitleSubject[0] is about 64 percent of the population . Social media in templateTitleSubject[0] Social networking is a popular online activity in templateTitleSubject[0] .
This statistic shows the templateYLabel[0] of templateTitleSubject[0] templateTitleSubject[0] templateTitle[3] templateTitleSubject[0] worldwide from templateXValue[min] to templateXValue[max] . templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] templateTitle[3] generated approximately templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateYLabel[0] in templateXValue[max] , up from templateYValue[1] templateYLabel[1] the previous templateXLabel[0] . templateTitleSubject[0] templateTitleSubject[0] templateTitle[3] templateTitleSubject[0] is an American retailer which operates in the world and gas templateTitleSubject[0] .
This statistic shows the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateYLabel[1] of the templateTitle[4] templateTitle[5] templateTitle[6] templateYLabel[0] templateTitle[8] from templateXValue[min] to templateXValue[max] . In templateXValue[6] , templateTitle[0] templateTitleSubject[0] templateTitle[2] templateYLabel[1] of the global templateYLabel[0] templateTitle[6] templateYLabel[0] is estimated to be templateYValue[0] percent . The company is a manufacturer and marketer of prestige templateTitle[4] templateTitle[5] , makeup , fragrance and hair templateTitle[5] templateTitle[6] , with global net sales of over 11.2 billion U.S. dollars .
This statistic shows the templateYLabel[0] of templateTitleSubject[1] templateYLabel[1] in templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of templateTitleSubject[1] templateYLabel[1] in templateTitleSubject[0] templateTitleSubject[0] is expected to reach templateYValue[max] templateYLabel[2] , up from templateYValue[5] templateYLabel[2] in templateXValue[5] .
This statistic displays the templateTitle[0] templateYLabel[0] of templateYLabel[1] templateTitle[3] templateTitle[4] in templateTitleSubject[0] in templateXValue[min] , templateXValue[1] and templateXValue[max] . According to the source , approximately 240 thousand templateYLabel[1] are templateTitle[0] to have templateTitle[4] by templateXValue[max] in templateTitleSubject[0] .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at approximately templateYValue[0] percent . Today , templateTitleSubject[0] has one of the highest templateYLabel[0] rates in all EU states .
As of December templateTitleDate[1] , the Chinese internet company templateTitleSubject[0] had around templateYValue[0] thousand templateYLabel[1] worldwide . This is one of the the most templateYLabel[1] worldwide . The app company is one of the most popular social networks worldwide .
As of templateTitleDate[0] , right-wing American news website templateTitle[0] was rated as templateXValue[2] at templateXValue[2] templateXValue[2] by templateYValue[2] percent of templateYLabel[1] from a survey of over two thousand templateTitleSubject[0] adults . Additionally , over half of templateYLabel[1] had either templateXValue[0] templateXValue[0] of the publication or had templateXValue[1] templateXValue[1] about templateTitle[0] 's templateTitle[1] . Conservative view of news media While right-wing websites and online publications have grown in number and popularity in recent years , Fox News remains the largest and perhaps most influential conservative news source in the templateTitle[2] .
In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at approximately templateYValue[0] percent of the total labor force . The templateYLabel[0] templateYLabel[1] is the percentage of a country 's labor force that are without jobs but are available to work and actively seeking employment . templateTitleSubject[0] 's templateYLabel[0] templateYLabel[1] is above the worldwide templateYLabel[0] templateYLabel[1] , and compared to other Sub-Saharan African countries and other regions , templateTitleSubject[0] has a relatively average templateYLabel[1] of templateYLabel[0] .
As of templateXValue[max] it is estimated that there is approximately templateYValue[max] thousand templateYLabel[2] of templateTitle[1] globally . In recent years , the templateYLabel[0] of individuals templateYLabel[1] in templateTitleSubject[0] when there were just templateYValue[min] thousand templateYLabel[2] available . templateTitle[1] is considered one of the rarest and most valuable metals in the world .
The statistics depicts the templateYLabel[0] of registered templateTitle[0] templateTitle[1] templateYLabel[1] in the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[last] to templateXValue[0] . In the templateXValue[0] season , there were a total of templateYValue[max] registered templateTitle[0] templateTitle[1] templateYLabel[1] in the templateTitleSubject[0] templateTitleSubject[0] according to the International templateTitle[0] templateTitle[1] Federation .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . The templateYLabel[0] templateYLabel[1] is the templateYLabel[1] that divides a templateTitle[2] into two numerically equal groups ; that is , half the people are younger than this templateYLabel[1] and half are older . It is a single index that summarizes the templateYLabel[1] distribution of a templateTitle[2] .
As of templateTitleDate[0] , the states with the highest rates of templateTitle[0] included templateXValue[1] templateXValue[1] , templateXValue[1] templateXValue[2] , templateXValue[3] , and templateXValue[4] . As of that time , there were around templateYValue[1] templateYLabel[1] templateYLabel[2] 1,000 templateYLabel[4] in the templateXLabel[0] of templateXValue[1] templateXValue[1] . The overall templateTitle[1] of legal templateYLabel[1] in the templateTitle[2] has gradually decreased since the mid-1980s .
This graph shows the templateXValue[1] 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[9] templateXLabel[0] templateYLabel[2] templateYValue[min] templateYLabel[3] templateYLabel[4] 2012 templateYLabel[6] templateYLabel[7] of templateYLabel[1] to the state templateTitle[1] .
According to a templateTitleDate[0] Statista survey , templateYValue[max] percent of the templateTitle[6] templateYLabel[1] use their templateTitle[1] to templateXValue[0] to templateXValue[0] . templateXValue[last] common uses of templateTitle[1] included templateXValue[1] templateXValue[1] or templateXValue[1] templateXValue[1] and listening to the templateXValue[2] . Headphone Market The retail value of global headphone shipments was forecast to reach 26.1 billion templateTitle[6] dollars in 2019 , a more than threefold increase in templateYValue[min] years .
This statistic shows the templateTitle[1] templateTitle[2] templateTitle[3] according to adults their templateTitle[0] templateTitle[1] as of the third quarter templateTitleDate[0] . During the survey , templateYValue[0] percent of templateYLabel[1] stated they watched templateXValue[0] templateXValue[last] shows .
Between templateXValue[min] and templateXValue[max] the templateTitleSubject[0] expenditures for templateTitle[4] treatment is expected to grow from templateYValue[min] templateYLabel[1] templateYLabel[2] templateYLabel[3] to templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] . templateTitle[4] can have life-threatening cardiovascular , renal and nervous system consequences when left untreated . templateTitle[4] is one of the leading causes of death worldwide.Diabetes overview templateTitle[4] is a chronic illness that affects the pancreas 's ability to produce insulin or how the body uses insulin .
As of templateXValue[max] , the templateYLabel[0] of templateTitle[2] templateTitle[3] templateTitle[4] in templateTitleSubject[0] amounted to templateYValue[max] . 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 this templateXLabel[0] , the templateYLabel[0] was generated by templateYValue[min] templateYLabel[2] templateYLabel[3] in that templateXLabel[0] .
This graph depicts the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] 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] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This statistic displays the templateYLabel[0] templateYLabel[1] in templateYLabel[2] templateYLabel[3] templateYLabel[4] of templateYLabel[5] templateTitle[2] to templateYLabel[5] in templateTitle[4] templateTitleSubject[0] templateTitle[6] as of templateTitle[7] templateTitle[8] . In the second quarter of templateTitle[7] , the templateYLabel[0] templateYLabel[1] templateYLabel[2] amounted to templateYValue[0] percent . The templateYLabel[0] templateYLabel[1] of templateXValue[0] has increased by templateYValue[max] percent in 2017 .
This statistic shows the templateYLabel[0] of worldwide templateYLabel[1] to templateTitleSubject[0] in templateTitleSubject[0] templateTitle[4] , sorted templateTitle[5] templateXLabel[0] . It was found that templateYValue[min] percent of global templateTitleSubject[0] templateYLabel[1] were from templateXValue[last] , whereas approximately one quarter of templateYLabel[1] to the search platform came from the templateXValue[0] templateXValue[0] .
The statistic shows the Ukrainian templateTitle[0] templateTitle[1] templateTitle[2] ( templateYLabel[0] ) templateYLabel[1] templateYLabel[2] in the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the templateYLabel[0] templateYLabel[1] templateYLabel[2] in the templateTitleSubject[0] templateTitleSubject[0] amounted to about 62,868 templateYLabel[3] templateYLabel[4] . See the fourth quarter of the economic strength of a country 's economy .
This statistic shows the templateTitle[1] templateTitle[2] ( templateYLabel[0] ) of the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] in templateYLabel[1] templateYLabel[2] templateYLabel[3] . In templateXValue[6] , the EU 's templateYLabel[0] amounted to about templateYValue[6] templateYLabel[1] templateYLabel[2] templateYLabel[3] . Brexit and the economy of the templateTitleSubject[0] templateTitleSubject[0] The templateTitleSubject[0] templateTitleSubject[0] is still recovering from the crisis in 2008 , but it is by no means making an impressive comeback and templateXValue[8] has not started out on the right foot either .
Between the year templateTitleDate[0] , the templateYLabel[0] of templateTitle[2] committed templateYLabel[2] templateYLabel[3] in the templateXValue[0] templateXValue[0] amounted to templateYValue[max] percent . As of templateTitleSubject[0] 2016 , 26 percent of its templateYLabel[2] templateYLabel[3] in templateXValue[1] , making it . The average templateYLabel[0] of templateTitle[2] – additional information The average of templateTitle[2] templateYLabel[2] templateYLabel[3] in the world was 231,163 across the goods and it in the world . templateTitleSubject[0] is the leading online and petroleum from various templateYLabel[2] templateYLabel[3] in the world and most influential of its increase of agricultural productivity the world and friends , while around the world already were located in the world and 2030 is estimated to be tripled according to United Nations ' data.The majority of the world templateTitle[2] lives in 2018 , but the templateTitle[2] in templateXValue[0] is forecasted to rise from 1,031 in year 2010 up to 4,185 in year 2100 . templateYValue[max] percent of templateTitle[2] in year 2100 for many years . This , but can be an templateYLabel[0] of templateTitle[2] from templateXValue[0] , with an templateYLabel[0] of templateTitle[3] templateTitle[4] , but , but is , with in European , with alone , with a downward , with , with , South , with templateYValue[min] of templateTitle[2] , with , with , the world was , the world was , South , the world was , the world was , the world was , the world was of templateTitleSubject[0] of templateTitleSubject[0] of templateTitleSubject[0] of templateTitleSubject[0] of templateTitleSubject[0] , the world was was of templateTitleSubject[0] of templateTitleSubject[0] of templateTitleSubject[0] , of templateYValue[min] of templateYValue[min] of templateTitleSubject[0] , was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was was
As of June templateTitleDate[0] , templateXValue[0] templateXValue[0] and around templateYValue[max] thousand templateYLabel[2] templateYLabel[3] in the templateTitle[7] , the most recent win having come in the country . However , templateYValue[0] percent of templateYLabel[1] templateYLabel[2] templateYLabel[3] in the templateTitle[4] . templateTitleSubject[0] – additional information In 2018 , there was templateYValue[min] of the templateXLabel[0] with an increase in the United Kingdom .
The statistic shows the 20 templateTitleSubject[0] templateTitle[1] the templateTitle[2] templateYLabel[0] templateYLabel[1] in templateTitleDate[0] . In templateTitleDate[0] , templateXValue[3] ranked 4th templateTitle[1] an estimated templateYLabel[0] templateYLabel[1] of about templateYValue[6] percent templateYLabel[2] to the templateYLabel[3] templateYLabel[4] . templateYLabel[0] rates and the financial crisis Due to relatively stagnant worker wages as well as a hesitation from banks to so easily distribute loans to the ordinary citizen , templateYLabel[0] has remained considerably low .
This statistic shows the templateTitle[0] templateYLabel[0] of templateTitle[2] templateTitle[3] in the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . According to the report , the average templateYLabel[0] of templateTitle[2] templateTitle[3] was around templateYValue[2] templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateXValue[max] .
This statistic gives information on the templateYLabel[3] templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In the most recently measured period , templateYValue[max] percent of the population accessed the templateYLabel[3] , up from templateYValue[min] percent in templateXValue[min] . In templateXValue[2] , templateTitleSubject[0] 's population increased by approximately 2.48 percent compared to the previous templateXLabel[0] .
The statistic represents the templateYLabel[0] templateYLabel[1] templateYLabel[2] in the templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] templateYLabel[2] in the templateTitleSubject[0] amounted to templateYValue[max] templateYLabel[3] .
The statistic shows the templateTitle[0] templateTitle[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In the templateXLabel[0] templateXValue[max] , about templateYValue[min] templateYLabel[1] were templateYLabel[2] templateYLabel[3] templateYLabel[4] of childbearing age . Despite a decreasing templateTitle[0] templateTitle[1] , the total population of templateTitleSubject[0] is expected to increase over the next few years .
In templateTitleDate[0] , the templateXValue[5] believed by the templateXValue[1] templateTitle[4] templateXValue[2] to be templateTitleSubject[0] templateTitle[1] were templateXValue[1] , templateXValue[6] templateYValue[max] percent of survey templateYLabel[1] citing the templateXValue[0] in their templateXValue[0] templateXValue[0] , and templateYValue[1] percent citing templateXValue[1] templateXValue[1] templateXValue[1] , as the templateTitleSubject[0] templateTitle[1] issue for the templateXValue[2] . The templateTitle[4] templateXValue[2] The templateTitle[4] templateXValue[2] is a somewhat broad concept , including all organized events to present or display a selection of some type of item . At one end of the spectrum this includes public exhibitions of art and history in a gallery or museum , while at the templateXValue[6] end are templateXValue[6] fairs , where goods and services associated templateXValue[6] a specific templateXValue[2] are exhibited to invited guests only .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateTitle[2] of templateTitle[3] templateTitle[4] in templateTitleSubject[0] templateTitle[5] from templateXValue[min] to templateXValue[max] . In templateXValue[1] , the templateYLabel[0] of templateYLabel[1] based on templateTitle[2] templateTitle[3] templateTitle[4] amounted to around templateYValue[min] templateYLabel[2] templateYLabel[3] .
The statistic shows the templateYLabel[1] in real templateYLabel[0] in templateTitleSubject[0] from between templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , templateTitleSubject[0] 's real templateTitle[0] templateTitle[1] templateTitle[2] grew by around templateYValue[6] percent templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
The timeline shows templateTitleSubject[0] templateTitle[1] templateYLabel[0] templateYLabel[1] in templateYLabel[2] to templateYLabel[3] between templateXValue[min] and templateXValue[6] , with projections up until templateXValue[max] . A positive value indicates a templateYLabel[0] surplus , a negative value indicates a trade deficit . In templateXValue[6] , templateTitleSubject[0] templateTitle[1] trade deficit amounted to around 7.23 percent of templateYLabel[3] .
In templateTitleDate[0] , templateTitle[6] templateYLabel[0] amounted to templateYValue[max] templateYLabel[3] templateYLabel[4] templateYLabel[1] templateYLabel[2] in the templateXValue[0] . templateTitle[6] templateTitle[7] is used as an indicator for the development of templateTitle[6] within a templateXLabel[0] and is calculated as ratio of total templateTitle[6] templateYLabel[0] to whole population of a given templateXLabel[0] . templateTitle[6] templateTitle[7] in selected templateTitle[1] countries The templateTitle[6] industry is an industry that has the ability to make significant financial contributions to a national economy .
This graph depicts the templateYLabel[1] of the templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] templateYLabel[0] of Major League Baseball from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] had an estimated templateYLabel[1] of templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] . The templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] are owned by Rogers Communications , who bought the templateYLabel[0] for 137 templateYLabel[2] templateYLabel[3] templateYLabel[4] in 2000 .
This graph depicts the templateYLabel[0] templateYLabel[1] templateYLabel[2] for templateTitleSubject[0] templateTitleSubject[0] templateTitle[6] of the National Basketball Association from templateXValue[last] to templateXValue[0] . In the templateXValue[last] season , the templateYLabel[0] templateYLabel[1] templateYLabel[2] was templateYValue[min] templateYLabel[3] templateYLabel[4] .
This statistic shows the templateYLabel[1] of the templateTitle[3] templateTitle[4] of the templateTitle[5] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] was at templateYValue[0] templateYLabel[2] .
This statistic shows the templateYLabel[0] of templateTitle[1] templateTitle[2] templateYLabel[1] in the templateTitle[3] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , about templateYValue[max] thousand people were living in the templateTitle[5] , an increase from templateYValue[13] thousand templateYLabel[1] in the previous templateXLabel[0] . templateTitle[1] templateTitle[2] – additional information on recreational boating
This graph depicts the templateYLabel[1] of the templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] templateYLabel[0] of Major League Baseball from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] had an estimated templateYLabel[1] of templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] . The templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] are owned by Robert Wood Johnson IV , who bought the templateYLabel[0] for 635 templateYLabel[2] templateYLabel[3] templateYLabel[4] in 2000 .
In templateXValue[max] , the templateYLabel[0] of templateYLabel[1] templateTitle[2] at templateTitle[3] establishments in templateTitleSubject[0] amounted to templateYValue[0] templateYLabel[2] templateYLabel[3] templateYLabel[4] . In comparison , this figure is expected to increase to over templateYValue[0] templateYLabel[2] templateYLabel[3] templateYLabel[4] . templateTitle[2] templateTitle[3] annual templateYLabel[1] in the templateTitle[0] The templateTitle[0] is located from general beauty and 49 years old .
This statistic shows the templateYLabel[0] of templateTitleSubject[0] templateTitle[1] in templateTitle[2] templateTitle[3] as of January templateTitleDate[0] , sorted templateTitle[6] templateXLabel[0] . During the survey period , it was found that templateYValue[min] percent of templateTitle[2] templateTitle[4] in the past six months . According to the templateTitleSubject[0] templateTitle[1] in templateTitle[2] templateTitleSubject[0] dollars .
As of the third quarter of templateTitleDate[0] , it was found that templateYValue[max] percent of templateTitle[0] users in the templateTitleSubject[0] templateTitleSubject[0] accessed the social platform templateXValue[0] templateXValue[0] a templateXValue[0] . A further templateYValue[1] percent of templateYLabel[1] claimed that they used templateTitle[0] on a templateXValue[1] basis .
As of templateXValue[max] , the templateTitle[2] movie with approximately templateYValue[0] thousand templateYLabel[2] templateYLabel[3] in the templateTitleSubject[0] . This represents a slight decrease of over 60 percent in just one year . What is templateTitleSubject[0] ? templateTitleSubject[0] is a music streaming service that offers digital audio content .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] templateTitle[3] parent families with a female householder and no spouse present in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[28] percent of all templateTitleSubject[0] families with a templateTitle[3] mother in the templateTitle[5] lived below the templateYLabel[0] level . In templateXValue[max] , that figure was at templateYValue[min] percent .
This statistic shows templateTitle[0] sector templateYLabel[0] on templateTitle[2] templateTitle[3] in the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[last] to templateXValue[0] . The templateYLabel[0] on templateTitle[2] templateTitle[3] has continuously decreased during this period . In templateXValue[0] , this templateYLabel[0] totalled approximately templateYValue[min] templateYLabel[1] British pounds .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at approximately templateYValue[0] percent .
The graph shows the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . A positive value indicates a state surplus ; a negative value , a state deficit . In templateXValue[6] , the state deficit of templateTitleSubject[0] was at around 29.98 templateYLabel[2] templateYLabel[3] .
Since templateXValue[17] , the household price of templateTitle[0] in templateTitleSubject[0] has seen little change , increasing from templateYValue[18] templateYLabel[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] to templateYValue[0] templateYLabel[0] templateYLabel[1] in the first semester of templateXValue[0] . Looking at the figures , it can be seen that on average templateTitle[1] were cheaper in the second half of each templateXLabel[0] . A noticeable exception was in the second half of templateXValue[13] , when templateTitle[1] increased by 1.11 templateYLabel[0] templateYLabel[1] compared the first half of the templateXLabel[0] .
The statistic shows the templateYLabel[1] in real templateYLabel[0] in templateTitleSubject[0] from between templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , templateTitleSubject[0] 's real templateTitle[0] templateTitle[1] templateTitle[2] grew by around templateYValue[6] percent templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
templateTitle[1] templateTitle[2] templateTitle[3] averaged templateYValue[0] templateYLabel[1] templateYLabel[0] in the country during the templateXValue[max] templateTitleSubject[0] season , an increase of around one templateYLabel[1] on the previous templateXLabel[0] . Although viewing figures have increased , they are still down on the templateYValue[max] templateYLabel[1] templateYLabel[0] in templateXValue[min] . Sunday , templateTitle[1] , happy nights The templateTitleSubject[0] has prime-time games that are broadcast across the entire country by one major network on Thursday templateTitle[2] , Sunday templateTitle[2] , and templateTitle[1] templateTitle[2] – these games start at around 8:30 pm Eastern Time .
templateTitle[2] templateTitleSubject[0] robot shipments increased by one percent from about templateYValue[1] in templateXValue[1] to around templateYValue[max] in templateXValue[max] . Global spending on templateTitleSubject[0] templateTitle[1] is projected to exceed 24 templateYLabel[1] U.S. dollars by 2025 . Leading markets Japan , China , the country , South Korea , and Germany are counted among the five leading templateTitleSubject[0] robot markets templateTitle[2] .
This statistic shows the templateYLabel[0] of templateTitleSubject[0] templateTitleSubject[0] templateTitle[3] templateTitleSubject[0] worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] Corp. generated a templateYLabel[0] of templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] . templateTitleSubject[0] templateTitleSubject[0] templateTitle[3] templateTitleSubject[0] was founded in 1969 and now has more than 1,200 properties of the world 's activities .
The statistic shows the templateYLabel[1] of the templateTitleSubject[0] templateTitle[2] templateTitle[3] templateYLabel[0] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , the templateTitleSubject[0] templateTitle[2] templateTitle[3] templateYLabel[0] amounted to templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
The timeline shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[5] in the templateTitle[0] from templateXValue[min] to templateXValue[max] . According to the report , the templateTitleSubject[0] templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[5] amounted to approximately templateYValue[0] templateYLabel[3] in templateXValue[max] .
The templateTitleSubject[0] templateXLabel[0] with the highest templateYLabel[0] of templateTitle[5] templateTitle[6] in templateTitleDate[0] was templateXValue[0] with templateYValue[max] templateYLabel[1] head of chicken . The templateTitle[1] is also the second leading producer of eggs worldwide . Egg industry The global production volume of eggs reached 80 templateYLabel[1] metric tons in 2017 , up from 55.1 templateYLabel[1] metric tons in 2000 .
As of the third quarter of templateTitle[10] , The British Broadcasting Corporation ( templateXValue[0] ) made up templateXValue[1] of the top templateXValue[4] templateXValue[0] templateTitle[2] in the templateTitleSubject[0] templateTitleSubject[0] for weekly templateTitle[5] . templateXValue[0] templateXValue[0] templateXValue[0] , the templateTitle[0] templateXValue[0] templateXLabel[0] in the templateTitleSubject[1] saw its average consumer listen to over templateYValue[max] templateYLabel[2] US dollars . The templateTitleSubject[1] templateXValue[0] industry has seen revenues remain stagnant between 2014 and 2018 .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at approximately templateYValue[0] percent .
The statistic shows the degree of templateTitle[3] templateTitleSubject[0] in templateTitle[5] templateTitle[6] worldwide . According to the templateTitleSubject[0] templateTitleSubject[0] templateYLabel[0] , templateXValue[last] occupied the last place in templateTitle[3] templateTitleSubject[0] with templateYValue[min] templateYLabel[0] templateYLabel[1] in templateTitleDate[0] . templateXValue[1] and templateXValue[0] were ranked first and second with templateYValue[max] and templateYValue[1] out of 100 templateYLabel[0] templateYLabel[1] respectively .
This statistic shows the templateYLabel[0] of templateTitle[1] templateTitle[2] templateYLabel[1] in the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[5] , templateTitle[4] templateTitle[5] templateYLabel[0] templateYLabel[1] was around templateYValue[min] templateYLabel[2] templateYLabel[3] .
As of the fourth templateXLabel[0] of templateTitleDate[0] , templateTitleSubject[0] had a total templateYLabel[0] of around templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] , up from templateYValue[4] templateYLabel[1] templateYLabel[2] templateYLabel[3] in the corresponding templateXLabel[0] of the previous year . templateTitleSubject[0] 's annual templateYLabel[0] amounted to 2.82 templateYLabel[1] templateYLabel[2] templateYLabel[3] of the first templateXLabel[0] of 2019 .
This statistic shows the templateYLabel[0] of templateYLabel[1] in templateTitle[1] templateTitle[2] in the templateTitle[3] templateTitle[4] templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of templateYLabel[1] ( aged six years and older ) in templateTitle[1] templateTitle[2] amounted to approximately templateYValue[0] templateYLabel[2] .
In templateXValue[max] , the annual templateYLabel[0] of visitor exports is expected to reach templateYValue[max] templateYLabel[1] templateYLabel[2] . The spending of templateTitle[0] tourists in the country slightly decreased in templateXValue[3] , after the terrorist attacks which took place in Paris and Nice respectively in templateXValue[4] and templateXValue[3] . However , in templateXValue[2] , templateTitleSubject[0] had the fifth largest templateTitle[0] tourism templateTitle[3] worldwide .
This statistic shows the templateYLabel[0] templateYLabel[1] of the state of the templateTitleSubject[0] templateTitle[3] templateTitle[4] templateTitle[5] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the teenage templateTitle[4] templateTitle[5] of templateTitleSubject[0] amounted to about templateYValue[0] templateYLabel[2] templateYLabel[3] . templateYLabel[0] is one of the state of one who lacks a certain amount of material possessions or money .
As of templateTitleSubject[0] templateYValue[6] , templateTitle[5] , the outbreak of the coronavirus disease ( templateTitle[0] ) had spread to templateYValue[4] continents , and approximately 3,000 people had died after contracting the respiratory virus . The majority of the confirmed cases were located in templateXValue[0] , where around 2,900 templateYLabel[1] had been reported . WHO raises global risk level Approximately 60 countries templateTitle[2] have been affected templateTitle[6] the virus .
This statistic illustrates templateTitleSubject[0] 's templateTitle[1] templateTitle[2] templateYLabel[0] templateYLabel[1] from the second templateXLabel[0] of templateTitleDate[0] to the second templateXLabel[0] of templateTitleDate[1] . As of the last reported templateXLabel[0] , templateYValue[0] percent of the group 's templateTitle[1] visits converted to purchases .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] household end users in templateTitleSubject[0] templateTitle[7] from templateXValue[17] to templateXValue[0] . In the first half of templateXValue[17] , the average templateTitle[0] price templateTitle[2] templateTitle[3] was templateYValue[min] templateYLabel[0] templateYLabel[1] templateYLabel[2] kWh .
Since templateXValue[17] , the household price of templateTitle[0] in templateTitleSubject[0] has seen little change , increasing from templateYValue[18] templateYLabel[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] to templateYValue[0] templateYLabel[0] templateYLabel[1] in the first semester of templateXValue[0] . Looking at the figures , it can be seen that on average templateTitle[1] were cheaper in the second half of each templateXLabel[0] . A noticeable exception was in the second half of templateXValue[13] , when templateTitle[1] increased by 1.11 templateYLabel[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
Between templateXValue[min] and templateXValue[max] , templateTitle[1] templateYLabel[1] in templateTitleSubject[0] had seen a net decline of 27 percent . The lowest figure of such templateYLabel[1] was recorded in templateXValue[1] at templateYValue[min] . These figures stand in contrast to an increase in the volume of passenger templateTitle[1] transport .
The timeline shows templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateXValue[min] to templateXValue[max] . In templateXValue[1] , templateTitleSubject[0] templateTitle[1] global templateTitle[2] templateTitle[3] amounted to about templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] templateYLabel[5] templateYLabel[0] .
In templateXValue[max] , the templateYLabel[1] of templateTitle[2] and templateTitle[3] to the Italian gross domestic product amounted to templateYValue[0] templateYLabel[2] templateYLabel[3] . The industry , which is one of the most important ones for the country 's economy , constituted about 13.3 percent of the Italian templateYLabel[0] in the templateXLabel[0] considered and is predicted to reach 14.3 percent in templateXValue[max] . In search of the Italian dolce vita Every templateXLabel[0] more and more international visitors come to templateTitleSubject[0] to discover the real Italian dolce vita – breathtaking landscapes , rich history , great art , interesting culture and delectable cuisine .
This statistic shows the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to about templateYValue[6] percent templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
The statistic shows the per-capita gross domestic product ( templateYLabel[0] ) of templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the per-capita templateYLabel[0] of Saudi-Arabia amounted to approximately templateYValue[7] templateYLabel[3] templateYLabel[4] .
This statistic shows the templateYLabel[0] of adults in the templateTitleSubject[0] templateTitleSubject[0] who were using templateTitle[0] as of February templateTitleDate[0] , sorted templateTitle[6] templateTitle[7] . During that period of time , templateYValue[max] percent of female templateYLabel[1] stated that they used the social networking site .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] templateTitle[4] in the templateTitle[5] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] templateTitle[4] amounted to approximately templateYValue[max] templateYLabel[2] templateYLabel[3] .
The templateYLabel[0] of the templateTitleSubject[0] luxury brand templateTitle[4] templateTitle[5] has increased twofold over the period surveyed , growing from roughly templateYValue[min] templateYLabel[1] templateYLabel[2] in templateXValue[min] to templateYValue[max] templateYLabel[1] templateYLabel[2] in the templateXLabel[0] templateXValue[max] . Despite the steady increase in templateYLabel[0] during the period considered , the templateTitle[3] reported a net loss of approximately 25 templateYLabel[1] templateYLabel[2] in templateXValue[max] . Worldwide recognition Founded in 1978 in Milan , templateTitle[4] templateTitle[5] is one of the leading international templateTitle[2] design houses .
This statistic illustrates the templateYLabel[0] of templateTitle[0] templateTitle[1] templateTitle[2] in templateTitleDate[0] . In that year , templateXValue[0] was the largest templateYLabel[0] of templateTitle[1] templateTitle[2] templateYLabel[0] of approximately templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
The statistic presents the templateYLabel[0] of templateTitleSubject[0] templateTitleSubject[0] templateYLabel[1] from the fiscal templateXLabel[0] of templateXValue[min] to the fiscal templateXLabel[0] of templateXValue[max] . In its templateXValue[max] fiscal templateXLabel[0] , the Switzerland-based electronics company generated templateYValue[0] templateYLabel[1] templateYLabel[2] in templateYLabel[0] .
This statistic shows the templateYLabel[0] of templateTitle[2] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[2] , there were around templateYValue[2] templateYLabel[2] templateTitle[2] templateYLabel[1] were produced in templateTitleSubject[0] . In templateXValue[max] , this figure is projected to grow to around templateYValue[max] templateYLabel[2] templateYLabel[1] .
This statistic illustrates the templateTitle[3] templateTitle[4] templateYLabel[0] templateYLabel[1] going to the templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] out of the whole templateTitle[3] templateTitle[4] financial templateYLabel[0] in the United Kingdom ( templateTitleSubject[1] ) from templateXValue[min] to templateXValue[max] . It can be seen that templateTitleSubject[0] 's templateTitle[3] account templateYLabel[0] templateYLabel[1] increased during the period under observation , reaching a templateYLabel[1] of templateYValue[max] percent as of the templateXLabel[0] ending April templateXValue[max] for all standard and packaged templateTitle[4] . The smallest templateYLabel[1] of the templateTitle[3] account templateYLabel[0] was found in templateXValue[min] , when a templateYLabel[1] of templateYValue[min] percent was recorded .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitleSubject[0] in templateTitleDate[0] . In templateTitleDate[0] , the most important templateTitle[1] partner templateTitle[3] templateTitleSubject[0] was templateXValue[0] , accounting templateTitle[3] templateYValue[max] percent of all templateYLabel[2] .
This statistic shows the degree of templateTitle[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . templateTitle[0] means the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateYLabel[3] templateYLabel[2] of a country . In templateXValue[max] , templateYValue[max] percent of templateTitleSubject[0] 's templateYLabel[3] templateYLabel[2] lived in templateYLabel[1] areas and cities .
This statistic represents the regional templateTitle[0] of templateTitleSubject[0] templateYLabel[1] in the last three months . As of October templateTitleDate[0] , the templateXValue[0] templateXValue[0] accounted for templateYValue[max] percent of desktop templateYLabel[1] to the visual blogging site during this period of time .
The statistic depicts the templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of the Major League Baseball franchise amounted to templateYValue[max] templateYLabel[1] templateYLabel[2] dollars.The templateTitleSubject[0] templateTitleSubject[0] are owned by John Middleton and the Buck Family , who bought the team for 30 templateYLabel[1] templateYLabel[2] templateYLabel[3] in 1981 .
The statistic depicts the templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] , a franchise of the National Football League , from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] was templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
In templateXValue[max] , the templateTitle[1] templateTitle[2] templateYLabel[0] templateYLabel[1] in the templateTitleSubject[0] was templateYValue[0] . This was an increase of 0.65 percent compared to the previous templateXLabel[0] . However , templateTitle[1] templateTitle[2] templateYLabel[0] templateYLabel[1] has increased significantly in the last few years , when it is yet to surpass templateYValue[max] templateYLabel[2] templateYLabel[3] .
This statistic gives information on the templateYLabel[3] templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In the most recently measured period , templateYValue[max] percent of the population accessed the templateYLabel[3] , up from templateYValue[min] percent in templateXValue[min] . In templateXValue[2] , templateTitleSubject[0] 's population increased by approximately 2.48 percent compared to the previous templateXLabel[0] .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitle[1] templateTitle[2] in templateTitleSubject[0] was at about templateYValue[min] templateYLabel[0] templateYLabel[1] 1,000 templateYLabel[3] templateYLabel[4] .
This statistic shows the total global templateYLabel[0] of templateTitleSubject[0] templateTitle[1] from templateXValue[min] to templateXValue[max] . templateTitleSubject[0] templateTitle[1] templateYLabel[0] In templateXValue[max] , some templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] of templateTitleSubject[0] templateTitle[1] was produced globally . The base templateTitle[1] is usually extracted in combination with zinc , silver and copper .
The statistic shows the templateYLabel[0] of templateTitle[1] templateTitle[2] templateTitle[3] templateYLabel[1] in the templateTitle[0] in templateTitleDate[0] , templateTitle[6] templateXLabel[0] . In that year , templateYValue[max] percent of templateXValue[0] drank templateTitle[2] templateTitle[3] every week in the United States.Craft templateTitle[3] in the United StatesCraft templateTitle[3] is paving the way for a new crop of templateTitle[3] makers ! While the 1990 's and early 2000 's saw a big rise in brew pubs , the trend today leans more toward microbreweries that aim to distribute their product . Over the last couple of years , the number of new brewery openings has been at near unprecedented levels ; the highest total since the 1880 's .
This statistic shows the templateYLabel[0] of adults in the templateTitleSubject[0] templateTitleSubject[0] who were using templateTitle[0] as of February templateTitleDate[0] , sorted templateTitle[6] templateTitle[7] templateTitle[8] . During that period of time , templateYValue[0] percent of templateYLabel[1] aged between 18 and 29 years stated that they used the visual blogging site .
The statistic shows the templateTitle[3] templateTitle[4] in the templateTitleSubject[0] templateTitleSubject[0] as of September templateTitleDate[0] . As of the fourth quarter of templateTitleDate[0] , templateXValue[0] templateXValue[0] was ranked first with almost templateYValue[max] monthly templateYLabel[2] users . templateXValue[0] templateXValue[1] was ranked third in terms of templateTitleSubject[0] but came first in regards of mobile-only users .
This statistic shows the templateYLabel[0] of templateTitle[1] worldwide who have every experienced abuse or templateTitleSubject[0] templateTitle[1] templateTitle[2] as of November templateTitleDate[0] , sorted templateTitle[6] templateTitle[7] . During the survey period , templateYValue[0] percent of templateYLabel[1] who have experienced templateXValue[13] abuse stated that they had experienced templateTitleSubject[0] via templateXValue[0] .
The statistic shows the templateYLabel[0] amount of the templateTitleSubject[0] templateTitle[2] templateTitle[3] from templateXValue[min] to templateXValue[max] . In the fiscal templateXLabel[0] of templateXValue[max] , templateTitleSubject[0] templateTitle[1] templateTitle[2] generated around templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] of value to the previous templateXLabel[0] .
This statistic shows the templateTitle[1] templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , about templateYValue[0] percent of templateTitleSubject[0] 's templateYLabel[1] lived below the templateTitle[1] line .
The templateTitle[4] templateTitle[5] is an annual templateTitle[3] prize presented by France templateTitle[3] . The award , voted for by templateTitle[3] journalists , is given to the male player who was deemed to have played the best templateTitle[3] over the previous 12 months . Unsurprisingly , templateYValue[min] of the greatest footballers of all time , templateXValue[0] templateXValue[0] and templateXValue[1] templateXValue[1] , top the list of all-time templateTitle[1] .
The statistic shows the per-capita gross domestic product ( templateYLabel[0] ) of templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the per-capita templateYLabel[0] of Saudi-Arabia amounted to approximately templateYValue[7] templateYLabel[3] templateYLabel[4] .
This timeline shows templateTitle[0] , templateTitle[1] , and templateTitle[2] templateTitle[3] templateTitle[4] in the templateTitle[5] from templateTitleDate[0] to templateTitleDate[1] . In templateTitleDate[1] , templateYLabel[1] templateTitle[0] , templateTitle[1] , and templateTitle[2] templateTitle[3] templateTitle[4] amounted to about templateYValue[0] templateYLabel[0] templateYLabel[1] dollars.Additional information on the templateTitle[1] and gifts market in the USThe statistic above shows how templateTitle[4] in the templateTitle[0] , templateTitle[1] and templateTitle[2] sector dropped following the market crash in 2008 , as did retail in the templateTitle[5] overall . A comparison of templateTitle[0] purchases in 2015 between millennials and consumers aged 35 and over shows that younger people are choosing travel and entertainment over more traditional gifts than their older counterparts .
The statistic shows the templateYLabel[0] of templateYLabel[1] templateTitle[2] a templateTitle[3] templateTitle[4] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of templateYLabel[1] templateTitle[2] and templateTitle[3] templateTitle[4] amounted to templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
Total templateYLabel[1] to templateTitleSubject[0] templateTitle[3] and templateTitle[4] dropped slightly in templateXValue[max] to templateYValue[0] templateYLabel[2] , down from templateYValue[1] templateYLabel[2] in the previous templateXLabel[0] . What is the templateTitleSubject[0] ? The templateTitleSubject[0] is a group of templateTitle[3] and research centers run by the templateTitle[5] Government and mostly based in the District of Columbia . Public entry to all templateTitleSubject[0] templateTitle[3] is free , with funds being provided through federal budget appropriations and donations .
The statistic shows the templateTitle[3] templateYLabel[0] of templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] from templateTitle[5] years templateXValue[min] to templateXValue[max] . In the last templateTitle[5] templateXLabel[0] that ended March templateYValue[5] , templateXValue[max] , templateTitleSubject[0] templateTitleSubject[0] reported a profit of templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
In templateTitleDate[0] , templateXValue[0] was the templateTitleSubject[0] American templateXLabel[0] with the highest templateTitle[4] templateTitle[5] templateTitle[6] templateYLabel[0] , with templateYValue[max] points . templateXValue[last] , on the other hand , had the worst templateYLabel[1] in the region with templateYValue[min] points , which shows a templateTitle[4] templateTitle[5] templateTitle[6] of 54 percent ( on average , women 's income in templateXValue[last] was estimated to be 54 percent lower than men 's ) .
The statistic shows the templateTitle[0] templateTitle[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In the templateXLabel[0] templateXValue[max] , about templateYValue[min] templateYLabel[1] were templateYLabel[2] templateYLabel[3] templateYLabel[4] of childbearing age . Despite a decreasing templateTitle[0] templateTitle[1] , the total population of templateTitleSubject[0] is expected to increase over the next few years .
This statistic shows the templateYLabel[0] of rare earth templateTitle[2] templateTitle[1] templateTitle[2] templateTitle[4] from templateXValue[min] to templateXValue[max] . It is expected that the templateYLabel[0] of templateTitle[1] templateTitle[2] will reach some templateYValue[8] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] templateYLabel[5] in templateXValue[8] .
The graph depicts the templateTitle[0] of templateTitle[1] in templateTitle[6] homes in templateTitleDate[0] . In that year , templateYValue[max] templateYLabel[2] templateYLabel[0] templateYLabel[1] in the templateTitleSubject[0] templateTitleSubject[0] had templateXValue[2] templateTitle[1] .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] templateTitle[3] parent families with a female householder and no spouse present in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[28] percent of all templateTitleSubject[0] families with a templateTitle[3] mother in the templateTitle[5] lived below the templateYLabel[0] level . In templateXValue[max] , that figure was at templateYValue[min] percent .
As of June templateTitleDate[0] , templateXValue[0] and templateXValue[1] were the templateTitleSubject[0] commonly used in the templateTitle[4] , with a total of nearly templateYValue[max] million templateTitle[2] in the world . This figure represents a large decrease in the templateTitle[4] . The Big templateYValue[22] Of all all the consultancy templateTitle[2] , the best known are the Big templateYValue[22] , accounting for almost 40 percent of the templateXValue[10] market - templateXValue[3] , templateXValue[13] ( Pricewaterhouse Coopers ) , templateXValue[6] ( Ernst templateXValue[0] ) and templateXValue[8] .
This statistic shows the degree of templateTitle[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . templateTitle[0] is defined as the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateYLabel[3] templateYLabel[2] . In templateXValue[max] , templateYValue[max] percent of the templateYLabel[3] templateYLabel[2] of templateTitleSubject[0] lived in templateYLabel[1] areas .
The statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[3] templateYLabel[4] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[5] , templateYValue[5] templateYLabel[5] people accessed the templateYLabel[3] through their templateYLabel[1] templateYLabel[2] . In templateXValue[max] , this figure is projected to amount to templateYValue[max] templateYLabel[5] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
The graph shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] in templateTitle[3] to templateTitle[4] templateTitle[5] templateTitle[6] ( templateYLabel[2] ) , with projections up until templateXValue[max] . In templateXValue[6] , the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] amounted to about templateYValue[min] percent of templateTitle[4] templateTitle[5] templateTitle[6] . An eye on templateTitleSubject[0] templateTitle[1] templateYLabel[0] templateYLabel[1] templateTitleSubject[0] templateTitle[1] templateYLabel[0] templateYLabel[1] ranks first among countries with the highest templateYLabel[1] levels in the world , far surpassing the templateYLabel[1] levels of Greece - which ranks number two - whose financial crisis has been in the spotlight recently .
The statistic shows the templateYLabel[0] of templateTitleSubject[0] templateTitle[1] templateYLabel[1] in templateTitleDate[0] , templateTitle[3] templateTitle[4] . In that year , the templateYLabel[0] of templateTitleSubject[0] templateTitle[1] amounted to around templateYValue[max] templateYLabel[2] templateYLabel[1] .
The statistic shows the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] in templateYLabel[2] to the templateTitle[4] templateTitle[5] templateTitle[6] ( templateYLabel[3] ) . In templateXValue[6] , the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] amounted to about templateYValue[0] percent of templateTitle[4] templateTitle[5] templateTitle[6] . See templateYLabel[2] of templateTitleSubject[0] for additional information .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[6] in templateTitle[3] to the templateTitle[4] templateTitle[5] templateTitle[6] ( templateYLabel[3] ) , with projections up until templateXValue[max] . The figures refer to the whole country and include the debts of the state , the communities , the municipalities and the social insurances . In templateXValue[6] , the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] amounted to approximately templateYValue[6] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
The statistic shows templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) in templateTitle[4] templateYLabel[4] templateYLabel[5] in templateTitleSubject[0] 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 .
As of templateTitleDate[0] , templateXValue[0] had the highest templateYLabel[0] of templateTitle[2] templateTitle[3] templateYLabel[2] of approximately templateYValue[max] templateYLabel[3] templateYLabel[4] templateYLabel[5] . templateXValue[1] had the second highest templateYLabel[2] in the world 's templateYLabel[0] of templateTitle[2] participants , with templateYValue[max] templateYLabel[3] templateYLabel[4] as of templateTitleDate[0] . In 2016 , templateTitle[0] had the largest amount of templateTitle[2] templateTitle[3] templateYLabel[2] in Europe .
The graph shows the templateTitle[3] of templateTitle[0] templateYLabel[1] in the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . The templateYLabel[0] of templateYLabel[1] is forecast to grow by templateYValue[2] percent from templateXValue[3] to templateXValue[max] .
Between templateXValue[min] and templateXValue[max] the templateTitle[0] templateYLabel[0] of templateTitle[2] templateTitle[3] templateTitle[4] in the templateTitle[5] is expected to reach templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] . In the last reported period , the templateTitle[2] templateTitle[3] templateTitle[4] is expected to reach templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] , the British economy in the world .
This statistic shows the templateTitle[3] templateYLabel[0] templateYLabel[1] ( as of the end of each templateXLabel[0] ) of the templateTitle[0] to the templateTitleSubject[0] templateTitle[2] ( EUR/RUB ) , according to data from the European Central Bank , from January templateTitleDate[0] to January templateTitleDate[1] . The concrete , or point in time , measure shows the templateYLabel[0] templateYLabel[1] as of the last day of each templateXLabel[0] , which is different to the standardized measure ; calculation of average based on observations throughout the period in question.Monthly change After seeing a height of templateYValue[max] rubles to the templateTitle[0] in February 2016 , the templateTitle[3] templateYLabel[0] templateYLabel[1] has fluctuated . Between December 2018 and January templateTitleDate[1] , the end of templateXLabel[0] templateYLabel[0] templateYLabel[1] between the templateTitle[0] and templateTitleSubject[0] templateTitle[2] has seen a downward trend .
The graph shows the templateYLabel[0] templateYLabel[1] of templateYLabel[2] in the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the average templateYLabel[0] templateYLabel[1] of templateYLabel[2] among the templateTitleSubject[0] templateTitleSubject[0] population was about templateYValue[0] templateYLabel[3] .
Between templateXValue[min] and templateXValue[max] , the total templateYLabel[0] of templateTitle[0] templateTitle[1] templateTitle[2] in the templateTitle[3] amounted to templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] . In templateXValue[max] , templateTitle[0] templateTitle[1] templateTitle[2] was estimated at around templateYValue[min] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
As of templateXValue[max] , the templateYLabel[0] of templateTitle[1] templateTitle[2] templateYLabel[1] in templateTitleSubject[0] was approximately templateYValue[max] thousand templateYLabel[2] . Since then , the templateYLabel[0] of specialized templateYLabel[1] occurred at over a high of templateYValue[min] percent . In templateXValue[max] , the templateYLabel[0] of registered motor vehicles in templateTitle[2] in templateTitleSubject[0] was almost templateYValue[min] thousand .
The statistic shows the templateTitle[0] templateTitle[1] ( templateYLabel[0] ) of the templateTitleSubject[0] templateTitle[4] club of Major League Soccer by templateTitle[0] in templateTitle[5] . templateXValue[0] templateXValue[0] received a salary of templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] in that year .
In templateXValue[max] , the templateTitle[1] templateYLabel[0] of templateTitle[3] templateTitle[4] in templateTitleSubject[0] amounted to about templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] , all types included . The templateTitle[0] realized templateYLabel[0] of templateTitle[3] templateTitle[4] remained fairly steady throughout the years until templateXValue[3] , when it decreased to below templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] . templateTitle[3] templateTitle[4] The templateTitle[0] templateYLabel[0] serves as an indicator for a variety of different selling prices on the templateTitle[4] market , gathering all templateYLabel[0] ranges of templateTitle[3] wines purchased in templateTitleSubject[0] .
This graph depicts the templateYLabel[1] of the templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] templateYLabel[0] of the National Basketball Association from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] had an estimated templateYLabel[1] of templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] . templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] The templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] are a professional basketball templateYLabel[0] of the National Basketball Association ( templateTitleSubject[1] ) that is part of the league 's Western Conference .
This statistic shows the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to about templateYValue[6] percent templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
PricewaterhouseCoopers templateYLabel[0] amounting to over templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateTitleDate[0] , templateXValue[0] templateXValue[0] templateXValue[0] templateXValue[0] templateXValue[0] topped the list of templateTitle[0] templateXValue[4] templateTitle[2] in the country . In that year , they were followed templateTitle[5] templateXValue[1] templateXValue[1] , templateXValue[2] templateXValue[2] templateXValue[2] P.L.C . and templateXValue[3] templateXValue[3] templateXValue[3] templateXValue[0] Co , in terms of templateYLabel[0] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateYLabel[2] templateYLabel[3] templateYLabel[4] for templateTitle[3] in the country of America from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] change of the PPI amounted to templateYValue[0] percent . The PPI for templateTitle[3] stood at 199.8 in templateXValue[max] .
Between templateXValue[min] and templateXValue[max] , each templateXLabel[0] roughly between templateYValue[min] and templateYValue[max] people died in the templateTitleSubject[0] . In templateXValue[max] , approximately templateYValue[min] templateYLabel[1] templateYLabel[2] templateYLabel[3] of templateTitleSubject[0] were in stock templateTitle[2] . The templateTitle[1] is usually most probably a response to the potential customer exposure posed by this medium , as podcasts reach more and more listeners in the templateTitle[3] each templateXLabel[0] .
In templateTitleDate[0] , templateTitleSubject[0] boasted some of the most expensive residential real estate templateTitle[3] in the country . A ranking of the priciest templateXLabel[0] of the templateXValue[10] templateTitle[2] residential templateTitle[3] showed that home buyers could expect to pay on templateTitle[0] almost templateYValue[max] thousand templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] in the district templateXValue[0] ( historical templateXValue[10] center ) . In templateTitleSubject[0] , renting a dwelling also comes at a cost .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] the templateXLabel[0] templateXLabel[1] of the child 's templateTitle[5] in the templateTitle[6] in templateTitleDate[0] . In templateTitleDate[0] , templateXValue[0] accounted for templateYValue[max] percent of all templateYLabel[2] templateYLabel[3] had a monthly templateYLabel[0] of templateYValue[max] percent .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at approximately templateYValue[0] percent .
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] , templateTitleSubject[0] templateTitle[1] templateYLabel[0] of templateYLabel[1] templateYLabel[2] ( in relation to PPP dollars ) amounted to about templateYValue[6] percent .
In templateXValue[max] , the total templateYLabel[0] of companies producing templateTitle[0] and templateTitle[2] was approximately templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] . Between templateXValue[7] and templateXValue[max] the templateYLabel[0] fluctuated . However , prior to templateXValue[7] templateYLabel[0] was much higher , reaching over templateYValue[8] templateYLabel[1] templateYLabel[3] in templateXValue[min] .
As of templateTitleDate[0] , templateYValue[max] percent of U.S.-based templateYLabel[1] stated that their favorite moving watching location was at templateXValue[1] . Only around templateYValue[0] percent of templateYLabel[1] stated that they templateTitle[0] to watch movies in a theatre , while templateYValue[3] percent stated that they like the theatre and templateXValue[1] options templateXValue[3] . templateXValue[0] viewership Movies have long been a staple of the entertainment industry in templateXValue[3] the templateTitle[4] and across the globe .
As of the fourth templateXLabel[0] of templateTitleDate[1] , templateYValue[min] thousand templateYLabel[2] templateYLabel[3] were sold in templateTitleSubject[0] and templateTitleSubject[0] , up from just over templateYValue[4] templateYLabel[1] templateYLabel[2] templateYLabel[3] in the corresponding templateXLabel[0] of the previous year . templateTitleSubject[0] 's online templateYLabel[0] amounted to more than 55 templateYLabel[1] templateYLabel[2] templateYLabel[3] in the first templateXLabel[0] of templateTitleDate[0] .
This statistic shows the total amount of templateTitle[1] templateYLabel[0] that was offered by different sources to students in the templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[3] , some templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] of templateTitle[1] and templateTitle[8] in the templateTitle[5] . templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] - additional information templateTitle[4] templateYLabel[0] are expected to increase to over the world .
The templateXValue[33] with the highest rates of templateTitle[1] include templateXValue[last] , templateXValue[50] , templateXValue[49] and templateXValue[48] . templateTitle[1] is more commonly known as whooping cough . It is a respiratory disease that causes uncontrollable coughing .
In templateXValue[max] , the templateTitle[1] templateYLabel[0] of templateTitle[3] templateTitle[4] in templateTitleSubject[0] amounted to about templateYValue[min] templateYLabel[1] templateYLabel[2] templateYLabel[3] , all types included . The templateTitle[0] realized templateYLabel[0] of templateTitle[3] templateTitle[4] remained fairly steady throughout the years until templateXValue[3] , when it decreased to below templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] . templateTitle[3] templateTitle[4] The templateTitle[0] templateYLabel[0] serves as an indicator for a variety of different selling prices on the templateTitle[4] market , gathering all templateYLabel[0] ranges of templateTitle[3] wines purchased in templateTitleSubject[0] .
This statistic shows the worldwide templateYLabel[0] for templateTitle[2] templateTitle[3] in the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . The templateYLabel[0] of templateTitle[2] templateTitle[3] has continuously decreased during this period . In templateXValue[max] , this templateYLabel[0] totalled approximately templateYValue[min] templateYLabel[1] British pounds .
This statistic shows the templateTitle[2] considered to be the templateTitleSubject[0] templateTitle[1] templateTitle[3] in templateTitleDate[0] , based on a survey conducted in six templateTitle[2] . Of templateYLabel[1] , templateYValue[max] percent viewed templateXValue[0] as a templateXLabel[0] with templateTitle[1] people , with the United Kingdom ( templateXValue[1] ) following at templateYValue[1] percent . In 2016 a similar report on templateTitleSubject[0] reputable templateTitle[2] also found templateXValue[0] to have one of the best reputations templateTitle[3] , next to Sweden .
The statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] and templateXValue[max] . According to the source , the data are ILO estimates . In templateXValue[max] , the estimated templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] was at templateYValue[0] percent .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitleSubject[0] in templateTitleDate[0] . In templateTitleDate[0] , the most important templateTitle[1] partner templateTitle[3] templateTitleSubject[0] were the templateXValue[0] templateXValue[0] , accounting templateTitle[3] templateYValue[max] percent of all templateYLabel[2] .
The graph shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitle[4] from templateXValue[min] to December templateXValue[max] . templateYLabel[0] numbers peaked in 1987 when they amounted to over 62.82 templateYLabel[1] . In templateXValue[max] , the templateTitle[0] templateYLabel[0] of templateTitle[2] templateTitle[3] was templateYValue[min] million templateYLabel[1] .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at approximately templateYValue[0] percent . templateYLabel[0] in templateTitleSubject[0] 's templateYLabel[0] is relatively low and stable at around templateYValue[0] percent which means the population is experiencing close to full employment .
This statistic shows the templateTitle[1] templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[0] percent of templateTitleSubject[0] 's templateYLabel[1] lived below the templateTitle[1] line .
This statistic illustrates the templateTitle[0] templateYLabel[0] of templateTitle[2] in the templateTitleSubject[0] templateTitleSubject[0] ( templateTitleSubject[1] ) from templateTitleDate[0] to templateTitleDate[1] . As of that templateXLabel[0] , the templateYLabel[0] of templateTitle[2] templateTitleSubject[0] amounted to templateYValue[0] templateYLabel[1] templateYLabel[2] , up from templateYValue[1] templateYLabel[1] templateYLabel[2] in the preceding templateXLabel[0] .
In templateTitleDate[0] , templateXValue[0] was the templateTitleSubject[0] American templateXLabel[0] with the highest templateTitle[4] templateTitle[5] templateTitle[6] templateYLabel[0] , with templateYValue[max] points . templateXValue[last] , on the other hand , had the worst templateYLabel[1] in the region with templateYValue[min] points , which shows a templateTitle[4] templateTitle[5] templateTitle[6] of 54 percent ( on average , women 's income in templateXValue[last] was estimated to be 54 percent lower than men 's ) .
The statistic depicts the templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] , a franchise of the National Football League , from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] was templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic shows the results of a survey , conducted in 2016 in Canada , on templateXValue[5] templateTitle[3] templateTitle[4] templateTitle[5] . According to templateYValue[max] percent of surveyed templateTitleSubject[0] , their top resolution templateTitle[6] templateTitleDate[0] was to templateXValue[0] templateXValue[0] templateXValue[0] and templateXValue[0] .
As of templateTitleDate[0] , templateYValue[max] percent of U.S.-based templateYLabel[1] stated that their favorite moving watching location was at templateXValue[1] . Only around templateYValue[0] percent of templateYLabel[1] stated that they templateTitle[0] to watch movies in a theatre , while templateYValue[3] percent stated that they like the theatre and templateXValue[1] options templateXValue[3] . templateXValue[0] viewership Movies have long been a staple of the entertainment industry in templateXValue[3] the templateTitle[4] and across the globe .
The timeline shows templateTitleSubject[0] 's templateYLabel[0] between the templateXValue[min] and templateXValue[max] fiscal years . In the templateXValue[max] fiscal templateXLabel[0] , the manufacturer of regional aircraft , business jets , mass transportation equipment and recreational equipment had revenues of templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateYLabel[0] , up from templateYValue[1] templateYLabel[1] templateYLabel[2] templateYLabel[3] in the previous templateXLabel[0] .
In the fourth templateXLabel[0] of templateTitleDate[1] , revenues of AWS grew templateYValue[min] percent compared to the preceding templateXLabel[0] . AWS is one of templateTitleSubject[0] 's strongest revenue segments , generating 25.66 billion U.S. dollars in 2018 net sales , up from 17.46 billion U.S. dollars in 2017 . AWS ranks as one of the most popular public cloud infrastructure and platform templateTitleSubject[0] running applications worldwide in 2018 , ahead off Azure and Google cloud templateTitleSubject[0] .
The statistic shows the templateTitle[0] templateTitle[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In the templateXLabel[0] templateXValue[max] , about templateYValue[min] templateYLabel[1] were templateYLabel[2] templateYLabel[3] templateYLabel[4] of childbearing age . Despite a decreasing templateTitle[0] templateTitle[1] , the total population of templateTitleSubject[0] is expected to increase over the next few years .
The statistic shows the templateYLabel[0] of worldwide templateYLabel[1] to templateTitleSubject[0] in templateTitleSubject[0] templateTitle[4] , sorted templateTitle[5] templateXLabel[0] . It was found that templateYValue[min] percent of global templateTitleSubject[0] templateYLabel[1] were from templateXValue[2] , whereas approximately one quarter of templateYLabel[1] to the search platform came from the templateXValue[0] templateXValue[0] .
This statistic displays the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateTitleDate[0] to templateTitleDate[1] . In templateTitleDate[1] , templateYLabel[0] in templateTitleSubject[0] was templateYValue[0] percent .
The statistic illustrates the templateTitle[0] templateYLabel[0] templateYLabel[1] for the templateTitleSubject[0] templateTitleSubject[0] and the templateTitleSubject[1] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitle[0] templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] templateTitleSubject[0] was about templateYValue[max] templateYLabel[2] .
This statistic shows the templateYLabel[0] of International Workplace Group ( templateTitleSubject[0] ) , formerly Regus , templateTitle[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] generated a templateYLabel[0] of templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateTitle[2] .
The statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] to templateTitle[3] templateTitle[4] templateTitle[5] ( templateYLabel[3] ) in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] amounted to about templateYValue[6] percent of the country 's templateTitle[3] templateTitle[4] templateTitle[5] .
As of the third quarter of templateTitleDate[0] , it was found that templateYValue[0] percent of templateTitle[0] users in the templateTitleSubject[0] templateTitleSubject[0] accessed the social platform templateXValue[0] templateXValue[0] a templateXValue[0] . A further templateYValue[1] percent of templateYLabel[1] claimed that they used templateTitle[0] on a templateXValue[1] basis .
In templateXValue[max] , around templateYValue[0] percent of templateTitle[5] templateTitle[6] in the templateTitle[4] stated they felt it was `` fairly easy '' or `` very easy '' to obtain templateTitleSubject[0] . This is a significant decrease from templateYValue[max] percent of templateTitle[5] templateTitle[6] who templateTitle[2] the drug to be easy to obtain in the templateXLabel[0] templateXValue[20] . templateTitleSubject[0] is a hallucinogenic drug that can alter the user 's thoughts , feelings , and perception of reality .
The statistic shows the templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] franchise from the 2001/02 season to the 2018/19 season . In 2018/19 , the estimated templateYLabel[0] of the National Basketball Association franchise amounted to templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
templateTitleSubject[0] posted a profit of templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateXValue[max] , down from templateYValue[1] templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateXValue[1] . In the same time period , operating income of the bank increased from 63.6 templateYLabel[1] templateYLabel[2] templateYLabel[3] to 71 templateYLabel[1] templateYLabel[2] templateYLabel[3] . templateTitleSubject[0] bank templateTitleSubject[0] is a British banking and financial services company and one of the major players on the global banking market .
The graph shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) in templateTitleSubject[0] from templateXValue[min] to templateXValue[7] , with projections up until templateXValue[max] . templateTitle[3] 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 gross domestic product ( templateYLabel[0] ) of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] 's templateYLabel[0] was 730.27 templateYLabel[1] templateYLabel[2] templateXValue[6] templateYLabel[4] templateYLabel[5] .
As of templateTitleDate[0] , there were approximately templateYValue[max] thousand templateTitle[2] templateTitle[3] . That year , the majority of templateYLabel[1] employed in the templateXValue[0] templateXValue[0] . Only templateXValue[1] represented the biggest templateYLabel[0] of templateYLabel[1] as well , with the highest templateYLabel[0] of templateYLabel[1] as of templateTitleDate[0] .
templateTitle[2] templateYLabel[1] in templateTitleSubject[0] reached an all-time high as of templateXValue[max] , when templateTitleSubject[0] templateTitle[1] auto industry sold some templateYValue[max] templateYLabel[2] templateYLabel[3] . This figure is almost double the templateTitleDate[0] templateYLabel[1] , when just templateYValue[min] templateYLabel[2] templateTitle[2] templateYLabel[3] were sold in templateTitleSubject[0] . templateTitle[2] industry in templateTitleSubject[0] In templateXValue[1] , templateTitle[2] vehicles also made up the majority of vehicles in production in templateTitleSubject[0] , followed by passenger vehicles .
Over templateYValue[max] percent of the Indian population accessed the templateYLabel[3] in templateXValue[max] . This was a drastic increase from templateYValue[7] percent in templateXValue[min] . Despite the huge , yet-to-be utilized potential , templateTitleSubject[0] is already the second-largest online market worldwide .
While nearly two-thirds of templateTitleSubject[0] remains rural , templateTitle[0] has grown by seven percent from templateXValue[min] to templateXValue[max] . Political reforms in the 1980s created greater economic stability in templateTitleSubject[0] in the decade that followed and led to higher templateTitle[0] . The growing templateXLabel[2] of templateTitleSubject[0] , as well as people migrating from rural areas , contributes to an escalating number of inhabitants in the country 's already crowded cities .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at approximately templateYValue[0] percent .
The statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] and templateXValue[max] . According to the source , the data are ILO estimates . In templateXValue[max] , the estimated templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] was at templateYValue[0] percent .
The statistic shows the member states of the European Union templateTitle[2] in the templateTitleSubject[0] templateTitleSubject[0] in templateTitleDate[0] . In the first quarter of templateTitleDate[0] , there were approximately templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] in the that year . templateTitleSubject[0] 's templateTitleSubject[0] – additional information The templateTitleSubject[0] templateTitleSubject[0] templateXLabel[0] is the largest amount of GDP in the world with an average of approximately templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
The statistics depicts the templateYLabel[0] of registered templateTitle[0] templateTitle[1] templateYLabel[1] in the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[last] to templateXValue[0] . In the templateXValue[0] season , there were a total of templateYValue[max] registered templateTitle[0] templateTitle[1] templateYLabel[1] in the templateTitleSubject[0] templateTitleSubject[0] according to the International templateTitle[0] templateTitle[1] Federation .
The statistic shows templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) denotes the aggregate value of all services and goods produced within a country in any given templateXLabel[0] . templateTitle[3] is an important indicator of a country 's economic power .
This statistic presents the templateTitle[3] templateTitle[4] of templateTitle[0] and templateTitle[1] to templateTitle[5] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] templateTitle[1] templateYLabel[0] amounted to templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] , up from templateYValue[1] templateYLabel[1] a templateXLabel[0] earlier .
This graph depicts the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] templateTitle[3] of the National Football League from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] came to templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] . The templateTitleSubject[0] templateTitle[3] are owned by the McCaskey family , who bought the templateYLabel[0] in 1920 .
This statistic shows the templateTitle[2] templateTitle[3] of templateTitleSubject[0] regarding templateTitle[5] or templateTitle[6] templateTitle[7] in templateTitleDate[0] . During this survey , templateYValue[max] percent of templateYLabel[1] stated they think templateTitle[5] or templateTitle[6] templateTitle[7] are templateXValue[0] templateXValue[0] , while templateYValue[min] percent said it templateXValue[2] on the situation .
This statistic displays the templateYLabel[0] templateYLabel[1] in templateYLabel[2] templateYLabel[3] templateYLabel[4] of templateYLabel[5] templateTitle[2] to templateYLabel[5] in templateTitle[4] templateTitleSubject[0] templateTitle[6] as of templateTitle[7] templateTitle[8] . In the templateXValue[0] templateXValue[0] , households spent a total of 76.29 templateYLabel[3] templateYLabel[4] on templateTitle[2] and templateTitle[3] in templateTitle[6] .
templateXValue[0] templateXValue[0] led the templateYLabel[0] of templateTitleSubject[0] templateTitleSubject[0] in templateTitle[0] , with an templateYLabel[0] score of templateYValue[max] out of 100 . templateXValue[1] , templateXValue[2] templateXValue[2] , templateXValue[3] , and templateXValue[4] rounded out the top five . templateTitleSubject[0] templateTitleSubject[0] templateYLabel[0] In order to calculate the templateTitleSubject[0] templateTitleSubject[0] templateYLabel[0] , the source takes 12 different factors into account , including the rule of law , government size , regulatory efficiency , and open markets .
This statistic shows the templateTitle[1] templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , about templateYValue[0] percent of templateTitleSubject[0] 's templateYLabel[1] lived below the templateTitle[1] line .
This statistic shows the distribution of templateTitleSubject[0] templateYLabel[0] templateYLabel[1] in the templateTitle[5] in templateTitleDate[0] , templateTitle[7] templateXLabel[0] . In templateTitleDate[0] , about templateYValue[max] templateYLabel[2] templateYLabel[0] templateYLabel[1] were employed in the templateTitle[5] .
A survey of online users in the templateTitle[5] revealed that templateYValue[max] percent of templateYLabel[1] felt that templateXValue[0] templateXValue[0] and messaging apps were among the most templateTitle[2] on apps that they templateTitle[1] the most templateTitleSubject[0] on . During the third quarter templateTitleDate[0] survey , templateYValue[6] percent of templateYLabel[1] stated the same about gaming apps .
This statistic displays the templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[0] of templateTitle[4] in the templateTitleSubject[0] templateTitleSubject[0] ( templateTitleSubject[1] ) in templateTitleDate[0] , templateTitle[7] templateXLabel[0] . In templateTitleDate[0] , the templateTitle[0] EMI was at templateYValue[max] templateYLabel[1] templateYLabel[2] , an increase from templateYValue[1] templateYLabel[1] templateYLabel[2] .
In templateTitleDate[0] , templateXValue[0] was the city with the highest templateYLabel[0] templateYLabel[1] in the world was templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] . In comparison , this figure had the biggest templateYLabel[0] templateYLabel[1] in the templateTitleSubject[0] templateTitleSubject[0] , with a value of templateYValue[5] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This statistic illustrates the templateYLabel[0] of templateTitle[1] , templateYLabel[2] and templateYLabel[3] in the United Kingdom ( templateTitleSubject[0] ) from templateTitleDate[0] to templateXValue[max] . There were templateYValue[min] of these establishments , compared to almost 61,000 in templateXValue[min] .
In templateTitleDate[0] , templateXValue[0] was the city with the highest templateYLabel[0] of tourists staying at least templateYValue[8] night templateYLabel[2] capita . That same year , international overnight visitor spending in templateXValue[0] reached 28.5 billion US dollars . The city , which is the largest and most populous city in the United Arab Emirates , was also templateYValue[8] of the most expensive holiday destinations in the world in 2018 .
This statistic shows the proportion of the templateTitle[0] in the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , approximately templateYValue[0] templateYLabel[1] templateYLabel[2] . The templateTitle[0] of templateYLabel[0] increased during the period in consideration .
This statistic shows the total templateTitleSubject[0] templateYLabel[0] templateYLabel[1] from templateXValue[min] to templateXValue[max] . In templateXValue[1] , the worldwide templateYLabel[0] templateYLabel[1] is expected at templateYValue[min] templateYLabel[2] templateYLabel[3] . templateYLabel[0] includes , for example , application development and integration ; business intelligence and data management ; network , storage and systems management ; security and operating systems .
As of templateXValue[max] , the templateTitleSubject[0] templateTitle[3] men 's templateTitle[4] templateTitle[5] was positioned 12th on the templateYLabel[0] templateYLabel[1] templateYLabel[2] . This is an increase compared to the previous templateXLabel[0] , when the templateTitle[3] templateTitle[5] was ranked 14th . The best templateYLabel[3] was reached in templateXValue[9] and templateXValue[8] , when The templateTitleSubject[0] templateYValue[21] reached a second place , after reaching the final of the templateYLabel[1] Cup templateXValue[9] in South Africa .
This statistic shows the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to about templateYValue[6] percent templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
The statistic shows the per-capita gross domestic product ( templateYLabel[0] ) of templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the per-capita templateYLabel[0] of Saudi-Arabia amounted to approximately templateYValue[7] templateYLabel[3] templateYLabel[4] .
The statistic shows the templateYLabel[0] of terrorist templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , around templateYValue[0] templateYLabel[2] people were recorded in templateTitleSubject[0] . In templateXValue[max] templateTitleSubject[0] was the country with the third-most templateYLabel[2] and the sixth-most fatalities due to templateTitle[0] worldwide .
The timeline shows the outstanding templateTitle[0] templateTitle[1] templateTitle[2] ( templateYLabel[0] ) templateYLabel[1] templateYLabel[2] in the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the templateYLabel[0] templateYLabel[1] templateYLabel[2] in the templateTitleSubject[0] templateTitleSubject[0] amounted to about 62,868 templateYLabel[3] templateYLabel[4] . See templateYLabel[0] However , for templateTitleSubject[0] templateTitleSubject[0] 's templateYLabel[0] .
As of templateTitleDate[0] , templateXValue[0] was the templateTitle[2] and templateTitle[4] held the largest templateYLabel[0] of templateYLabel[1] ( templateYValue[max] percent ) , followed templateTitle[4] templateXValue[1] , templateXValue[2] , and templateXValue[3] . At that time , the UK had over 560 templateYLabel[1] templateYLabel[2] templateYLabel[3] invested in the templateXValue[0] States . What is templateYLabel[0] ? templateYLabel[0] is an international investment , in this case when a foreign firm or individual invests in the templateXValue[0] States .
The statistic shows the templateYLabel[0] of templateTitle[1] templateYLabel[1] templateYLabel[2] in the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[min] templateTitle[1] templateTitle[2] templateYLabel[1] templateYLabel[2] members , compared to templateYValue[8] templateYLabel[3] in templateXValue[14] .
This statistic shows the total templateTitleSubject[0] templateTitleSubject[0] ( UK ) templateTitle[2] templateYLabel[0] templateYLabel[1] templateYLabel[2] from fiscal templateXLabel[0] templateXValue[last] to fiscal templateXLabel[0] templateXValue[0] . Over this period , templateYLabel[0] duties have amounteed to approximately 52.5 templateYLabel[3] British pounds ( templateYLabel[4] ) worth of revenue , with the years templateXValue[2] and templateXValue[1] both generating templateYValue[0] templateYLabel[3] pounds .
The statistic shows the per-capita gross domestic product ( templateYLabel[0] ) of templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the per-capita templateYLabel[0] of Saudi-Arabia amounted to approximately templateYValue[7] templateYLabel[3] templateYLabel[4] .
In the fourth templateXLabel[0] of templateXValue[0] , the templateTitleSubject[0] templateTitleSubject[0] reported a templateYLabel[0] of templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] , up from the previous templateXLabel[0] . templateTitleSubject[0] is part of the most valuable sector worldwide . templateTitleSubject[0] is one of the most valuable fiscal year .
This statistic illustrates the templateYLabel[0] of templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] ( templateYLabel[1] ) of the fourth templateXLabel[0] of templateTitleDate[0] to templateTitleDate[1] . In the fourth templateXLabel[0] of templateXValue[0] , the templateTitleSubject[0] templateTitleSubject[0] 's templateYLabel[0] amounted to templateYValue[0] templateYLabel[2] templateYLabel[3] . This figure represented an increase of almost 200 templateYLabel[2] templateYLabel[3] compared to the same templateXLabel[0] of templateTitleDate[0] .
The statistic shows the countries with the highest templateTitleSubject[0] templateTitle[1] templateTitle[2] in templateTitleDate[0] . In templateTitleDate[0] , the templateXValue[0] templateXValue[0] government donated nearly templateYValue[max] templateYLabel[2] templateYLabel[3] dollars in templateTitle[2] templateYLabel[0] templateTitle[4] .
The statistic represents the templateYLabel[0] of templateXLabel[0] templateXLabel[1] of the templateTitleSubject[0] templateTitle[2] in templateTitleDate[0] , broken down by templateXValue[max] . In that year , the metropolitan area of templateXValue[0] had about templateYValue[max] million templateTitleSubject[0] templateYLabel[1] templateYLabel[2] templateTitle[2] .
The statistic shows the templateYLabel[0] of templateTitle[4] in the templateTitle[2] in templateTitleDate[0] , templateTitle[5] templateXLabel[0] . In templateTitleDate[0] , templateYValue[max] templateYLabel[2] people were emitted in the templateTitle[2] in the templateTitle[2] . This represents a templateYLabel[0] templateTitle[2] templateYLabel[1] of templateYValue[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] templateYLabel[5] in templateTitleDate[0] .
This statistic represents the templateYLabel[0] of worldwide templateYLabel[1] to templateTitleSubject[0] in templateTitleSubject[0] templateTitle[4] , sorted templateTitle[5] templateXLabel[0] . It was found that templateYValue[min] percent of global templateTitleSubject[0] templateYLabel[1] were from templateXValue[last] , whereas approximately one quarter of templateYLabel[1] to the search platform came from the templateXValue[0] templateXValue[0] .
As of December templateTitleDate[1] , it was estimated that templateTitleSubject[0] had just templateYValue[0] thousand templateYLabel[1] in the templateTitle[2] , a significant drop from the templateYValue[max] thousand templateYLabel[2] in templateXValue[5] . In the same year , this figure stood in the previous years . In 2018 , more than 2.24 million criminal acts were reported in templateTitleSubject[0] between templateXValue[0] templateXValue[5] and templateXValue[0] templateXValue[6] .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] templateTitle[3] parent families with a female householder and no spouse present in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[28] percent of all templateTitleSubject[0] families with a templateTitle[3] mother in the templateTitle[5] lived below the templateYLabel[0] level . In templateXValue[max] , that figure was at templateYValue[min] percent .
This statistic represents the regional templateTitle[0] of templateTitleSubject[0] templateYLabel[1] in the last three months . As of October templateTitleDate[0] , the templateXValue[0] templateXValue[1] accounted for templateYValue[max] percent of templateYLabel[1] to the website .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateTitle[2] a templateTitle[3] templateTitle[4] of templateTitle[5] in templateTitle[7] , templateTitle[7] templateTitle[8] . In the academic templateXLabel[0] of templateXValue[0] , the templateYLabel[0] of templateYLabel[1] templateTitle[2] templateTitle[5] in the templateTitleSubject[0] increased to templateYValue[max] percent .
This statistic shows the templateYLabel[0] of templateTitle[2] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . templateTitle[2] templateYLabel[1] in short-stay templateTitle[3] in templateTitleSubject[0] have generally increased over this period , from around templateYValue[9] templateYLabel[2] in templateXValue[min] to approximately templateYValue[max] templateYLabel[2] by templateXValue[max] .
This statistic shows the average templateYLabel[0] of templateTitle[2] templateTitle[3] templateTitle[4] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[min] templateYLabel[1] templateTitle[2] templateTitle[3] templateTitle[4] .
The templateTitle[2] rate in the templateTitleSubject[0] templateTitleSubject[0] has been decreasing in the past few years . In templateXValue[max] , approximately templateYValue[min] percent of the Dominicans were living on less than templateTitle[5] templateTitle[6] templateTitle[7] per templateTitle[8] , almost three-times lower than templateXValue[min] , when templateYValue[max] percent of the country 's templateYLabel[1] was estimated to live in templateTitle[2] .
The statistic shows the global templateYLabel[0] of templateTitle[2] and templateTitle[3] templateTitle[4] templateTitle[5] in Indonesian territorial waters from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the country 's templateYLabel[0] of templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in templateTitleSubject[0] amounted to templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This graph depicts the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] 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] templateYLabel[2] templateYLabel[3] templateYLabel[4] . The templateTitleSubject[0] templateTitleSubject[0] are owned by Dee and Jimmy Haslam .
The templateTitle[2] rate in the templateTitleSubject[0] templateTitleSubject[0] has been decreasing in the past few years . In templateXValue[max] , approximately templateYValue[min] percent of the Dominicans were living on less than templateTitle[5] templateTitle[6] templateTitle[7] per templateTitle[8] , almost three-times lower than templateXValue[min] , when templateYValue[max] percent of the country 's templateYLabel[1] was estimated to live in templateTitle[2] .
According to a templateTitleDate[0] survey , templateXValue[0] for the templateTitle[1] of templateTitle[2] templateTitle[3] for electricity generation in the templateTitleSubject[1] outweighed opposition . Of templateYLabel[1] , 35 percent supported its templateTitle[1] , compared to 23 percent who opposed it . Despite templateTitle[2] disasters occurring as recently as 2011 , when a tsunami hit a power plant in Fukushima , Japan , approximately 34 percent of templateTitleSubject[1] residents believe it provides a safe source of templateTitle[3] .
This graph depicts the total templateTitle[0] templateTitle[1] templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] templateTitleSubject[0] templateTitle[6] franchise of the National Football League from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitle[1] templateYLabel[0] templateYLabel[1] of the franchise was templateYValue[0] .
This statistic shows the 20 templateTitle[0] templateTitle[1] the templateTitle[2] templateYLabel[1] of the templateTitle[4] templateTitle[5] templateTitle[6] ( templateYLabel[0] ) in templateTitleDate[0] . In templateTitleDate[0] , templateXValue[0] ranked 4th templateTitle[1] an estimated templateYLabel[0] templateYLabel[1] of approximately templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
The statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] to templateTitle[3] templateTitle[4] templateTitle[5] ( templateYLabel[3] ) in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] amounted to about templateYValue[6] percent of the country 's templateTitle[3] templateTitle[4] templateTitle[5] .
This statistic shows the templateTitle[0] templateTitle[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the templateTitle[0] templateTitle[1] of templateTitleSubject[0] amounted to approximately templateYValue[6] templateYLabel[1] templateYLabel[0] .
This statistic gives information on the most popular templateTitle[1] templateTitle[2] templateTitle[3] templateXValue[3] as of May templateTitleDate[0] . During the measured period , templateXValue[0] templateXValue[0] had approximately templateYValue[max] templateYLabel[3] global templateYLabel[1] on the social network .
This graph shows the templateYLabel[0] of templateTitle[0] templateYLabel[1] templateYLabel[2] in the templateTitle[2] in 2010 , sorted templateTitle[5] templateTitle[6] , in templateXLabel[3] templateXLabel[4] of templateXLabel[0] templateXLabel[1] templateXLabel[2] . In that year , there were templateYValue[min] templateYLabel[1] templateYLabel[2] operating within the templateTitle[2] with between templateXValue[0] and templateXValue[1] templateXLabel[3] templateXLabel[4] of templateXLabel[0] templateXLabel[1] templateXLabel[2] .
The statistic shows the templateTitle[0] templateTitle[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the templateTitle[0] templateTitle[1] of templateTitleSubject[0] amounted to around templateYValue[6] templateYLabel[1] people . templateTitle[1] of templateTitleSubject[0] Although templateTitle[0] templateTitle[1] increased on a yearly basis from 2004 to templateXValue[min] , templateTitle[1] growth has slowly decreased annually as of 2011 , despite remaining positive .
At the beginning of templateTitleDate[0] , templateYValue[0] percent of templateTitle[0] templateTitle[1] an online video or music templateTitle[3] confirmed that they had an active templateTitleSubject[0] templateTitle[3] at the time of survey . templateXValue[1] and Gen-Xers were more likely to have a templateTitleSubject[0] templateTitle[3] than their older peers , which comes as no surprise given that templateTitleSubject[0] is considered the most indispensable TV and video source among templateTitle[0] aged between 16 to 34 years old . One of the most appealing aspects of templateTitleSubject[0] for viewers is the availability of original content , which has fast become one of the keys to the company 's success .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at templateYValue[0] percent . The templateYLabel[0] templateYLabel[1] is defined as the percentage of unemployed people among potential employees available for the job market .
As of January templateTitleDate[0] , templateXValue[0] was estimated to the largest templateYLabel[0] of templateYLabel[1] of any templateXLabel[0] with templateYValue[max] templateYLabel[2] heads . That year , the templateXValue[1] templateXValue[1] and templateXValue[2] templateXValue[2] were second and third in the list , with over 148 and templateYValue[2] templateYLabel[2] heads respectively . Global overview There were about 677.6 templateYLabel[2] templateYLabel[1] templateTitle[2] as of January templateTitleDate[0] , a leader among more than an increase in the 2018 .
This statistic presents the templateTitle[0] networking reach in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , templateYValue[min] percent of the templateYLabel[1] in the country accessed templateTitle[0] templateTitle[1] . In templateXValue[max] , this templateYLabel[0] is projected to reach templateYValue[4] percent .
This statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[5] in the templateTitle[0] from templateXValue[min] to templateXValue[max] . According to the report , the templateTitleSubject[0] templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[5] amounted to approximately templateYValue[min] templateYLabel[3] in templateXValue[max] .
The timeline shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[5] in the templateTitle[0] from templateXValue[min] to templateXValue[max] . According to the report , the templateTitleSubject[0] templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[5] amounted to approximately templateYValue[0] templateYLabel[3] in templateXValue[max] .
The statistic shows the templateYLabel[0] in the templateYLabel[2] of templateYLabel[1] per liter in templateTitle[3] templateTitle[4] for the period between December templateTitleDate[0] and December templateTitleDate[1] . The templateYLabel[2] changes concern unleaded premium ( 95 RON ) for templateXValue[3] , templateXValue[last] , templateXValue[4] , templateXValue[1] , and the templateXValue[0] templateXValue[5] , and regular unleaded for templateXValue[2] , templateXValue[6] , and the templateXValue[0] templateXValue[0] . In December templateTitleDate[1] , the templateYLabel[1] templateYLabel[2] per liter in the U.S. was templateYValue[max] percent higher than it was in December templateTitleDate[0] .
The statistic shows templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) denotes the aggregate value of all services and goods produced within a country in any given templateXLabel[0] . templateTitle[3] is an important indicator of a country 's economic power .
The statistic shows the templateTitle[1] templateTitle[2] templateYLabel[0] of the templateTitle[0] in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitleSubject[0] templateYLabel[0] of templateTitle[2] was estimated to decrease by templateYValue[0] templateYLabel[1] templateYLabel[2] . templateTitleSubject[0] had a 70 percent decrease over the previous templateXLabel[0] .
The timeline shows templateTitleSubject[0] templateTitle[1] templateTitle[2] templateYLabel[0] since templateXValue[min] . In templateXValue[max] , the local review and search site templateTitle[1] templateYLabel[0] amounted to over templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] , an increase from 952.8 templateYLabel[1] templateYLabel[2] templateYLabel[3] compared the previous templateXLabel[0] .
The statistics depicts the templateYLabel[0] of registered templateTitle[0] templateTitle[1] templateYLabel[1] in the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[last] to templateXValue[0] . In the templateXValue[0] season , there were a total of templateYValue[max] registered templateTitle[0] templateTitle[1] templateYLabel[1] in the templateTitleSubject[0] templateTitleSubject[0] according to the International templateTitle[0] templateTitle[1] Federation .
In templateXValue[max] , templateTitleSubject[0] templateTitleSubject[0] reported a templateYLabel[0] templateYLabel[1] figure of about templateYValue[0] templateYLabel[2] templateYLabel[3] templateYLabel[4] . In general , annual templateYLabel[0] templateYLabel[1] figures report a company 's revenues minus expenses over the course of a templateXLabel[0] and are highly affected by both expenses and corporate strategy . Changes between years are often quite variable as they include the expenses incurred in the form of large long-term investments in the expense column in addition to the usual yearly operating costs .
During the period from templateXValue[min] to templateXValue[max] , the highest templateYLabel[0] of babies born in templateTitleSubject[0] was in templateXValue[max] , when over templateYValue[max] thousand templateYLabel[1] occurred . In templateXValue[max] , about templateYValue[0] thousand babies were born in templateTitleSubject[0] . Within the last decade , there were yearly more baby boys than baby girls being born .
This statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of the Finnish templateTitle[4] templateTitle[5] templateTitle[6] from templateXValue[min] to templateXValue[max] . The highest templateYLabel[3] ever reached was templateYValue[min] in templateXValue[14] . Rank templateYValue[max] was the lowest result of the templateTitle[6] , which was reached in templateXValue[23] .
In templateXValue[max] , the templateTitleSubject[0] templateTitleSubject[0] 's global templateTitle[0] amounted to templateYValue[0] templateYLabel[1] templateYLabel[2] . The templateTitleSubject[0] templateTitleSubject[0] Ltd. is a Swiss company which primarily manufactures watches . templateTitleSubject[0] The templateTitleSubject[0] templateTitleSubject[0] was formed in 1983 through the merging of two Swiss watch manufacturers : ASUAG and SSIH .
At the beginning of templateTitleDate[0] , templateYValue[0] percent of templateTitle[0] templateTitle[1] an online video or music templateTitle[3] confirmed that they had an active templateTitleSubject[0] templateTitle[3] at the time of survey . templateXValue[1] and Gen-Xers were more likely to have a templateTitleSubject[0] templateTitle[3] than their older peers , which comes as no surprise given that templateTitleSubject[0] is considered the most indispensable TV and video source among templateTitle[0] aged between 16 to 34 years old . One of the most appealing aspects of templateTitleSubject[0] for viewers is the availability of original content , which has fast become one of the keys to the company 's success .
This statistic shows the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] in the templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[2] , the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] was valued at templateYValue[1] percent .
Between templateXValue[min] and templateXValue[max] , the templateYLabel[0] of templateTitleSubject[0] templateTitle[1] templateYLabel[1] operating templateTitle[4] has risen from 3.751 to templateYValue[0] . The multinational-operating grocery and general merchandise retailer templateTitleSubject[0] PLC was founded in 1919 by Jack Cohen ( 1898 - 1979 ) . The product portfolio includes food and beverages , clothing , home appliances , and even financial services .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in templateTitleSubject[0] as of December templateTitleDate[0] . With templateYValue[max] templateYLabel[1] templateYLabel[2] sold , templateXValue[0] templateXValue[0] templateXValue[0] templateXValue[0] was the templateTitle[0] templateTitle[1] city in templateTitleSubject[0] as of September templateTitleDate[0] .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[2] in templateTitleDate[0] , templateTitle[4] templateTitle[5] . In that year , the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] was around templateYValue[0] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
The graph shows the templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] templateTitle[2] templateYLabel[0] of the templateYLabel[1] from templateXValue[min] to templateXValue[max] in templateYLabel[2] to the templateTitle[4] templateTitle[5] templateTitle[6] ( templateYLabel[3] ) . In templateXValue[6] , the templateTitleSubject[0] templateTitleSubject[0] templateTitle[2] templateYLabel[0] of templateYLabel[1] templateYLabel[2] ( in relation to PPP dollars ) amounted to approximately templateYValue[0] percent .
This statistic shows the total templateTitleSubject[0] templateYLabel[0] for templateTitle[2] templateTitle[1] between templateXValue[min] and templateXValue[max] . In templateXValue[5] , approximately templateYValue[5] templateYLabel[1] templateYLabel[2] templateYLabel[3] of refined templateTitle[2] are expected to be consumed worldwide .
The statistic shows the templateYLabel[1] in real templateYLabel[0] in templateTitleSubject[0] from between templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , templateTitleSubject[0] 's real templateTitle[0] templateTitle[1] templateTitle[2] grew by around templateYValue[6] percent templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
The graph shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitle[3] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , around 8.32 million templateYLabel[2] were templateYLabel[3] in the templateTitle[4] . In templateXValue[max] , there were around templateYValue[38] templateYLabel[1] templateYLabel[2] templateYLabel[3] in the templateTitle[3] .
This graph shows the annual templateTitle[2] of the templateTitle[0] templateYLabel[0] templateYLabel[3] of templateTitle[2] templateTitle[3] templateTitle[4] in the templateTitleSubject[0] templateTitleSubject[0] ( templateTitleSubject[1] ) from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitle[2] templateTitle[3] of the templateTitle[4] templateYLabel[1] amounted to about templateYValue[0] templateYLabel[2] templateYLabel[3] . templateTitle[2] of the templateTitleSubject[0] templateTitleSubject[0] , the value of templateYLabel[3] exports to templateTitleSubject[0] in templateXValue[max] amounted to 106.63 templateYLabel[2] templateYLabel[3] .
In the fiscal templateXLabel[0] of templateXValue[max] , the templateTitleSubject[0] templateTitleSubject[0] 's templateTitle[1] templateYLabel[0] was about templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] . This figure was expected to increase to over 50 templateYLabel[1] templateYLabel[2] templateYLabel[3] in the preceding templateXLabel[0] . The majority of templateTitle[8] has increased each templateXLabel[0] since 2000 .
There were templateYValue[min] percent of templateTitle[1] templateTitle[2] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . According to cases handled templateTitle[5] templateTitleSubject[0] harassment support templateTitle[7] WHOA , templateYValue[max] percent of reporting templateTitle[3] in templateXValue[max] , down from templateYValue[1] percent in the previous templateXLabel[0] .
templateYLabel[0] of templateTitle[0] templateTitle[1] in the templateTitleSubject[0] templateTitleSubject[0] reached a record high of templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateXValue[max] and has risen by roughly a third since templateXValue[min] . templateTitle[0] templateTitle[1] templateYLabel[0] increased consistently from templateXValue[9] to templateXValue[2] , after over a decade of fluctuation from templateXValue[min] to templateXValue[10] . High demand for templateTitle[0] templateTitle[1] templateTitle[0] templateTitle[1] is a colorless , odorless fossil fuel that comes from underground rock formations .
The graph shows teh templateTitle[3] of the templateTitle[1] templateTitle[2] worldwide in templateXValue[min] as well as a forecast thereof for templateXValue[max] . The source projected the templateTitle[3] would increase from templateYValue[min] to templateYValue[max] percent in the previous templateXLabel[0] .
As of September templateTitle[6] , templateXValue[0] templateXValue[0] had the highest templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitle[4] amounted to approximately templateYValue[max] million , with the highest in the world . templateXLabel[0] with the highest templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitleSubject[0] templateTitleSubject[0] , which is due to come out of lower than templateYValue[5] million templateYLabel[2] , respectively . The templateTitle[3] predicts an increase in templateTitle[1] increased over a teammate to score .
The graph shows the ten largest templateYLabel[2] refugee-hosting templateTitle[4] as of templateTitleDate[0] . The data refers to the total templateYLabel[0] of templateYLabel[2] templateYLabel[3] in a given templateXLabel[0] , not considering the date of their application for asylum or the date of their flight . At the end of templateTitleDate[0] , approximately templateYValue[max] million templateYLabel[2] templateYLabel[3] were living in templateXValue[0] .
This statistic shows the templateYLabel[0] of templateTitleSubject[0] templateTitleSubject[0] templateTitle[3] templateYLabel[2] templateYLabel[3] from templateXValue[min] to templateXValue[max] . In the fiscal templateXLabel[0] templateXValue[max] , the company had templateYLabel[0] of over templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] . Together with Nike and Adidas , templateTitleSubject[0] is the second largest sporting goods manufacturers in the world .
The statistic shows the templateYLabel[2] templateTitleSubject[0] templateTitleSubject[0] generated from its templateYLabel[0] templateYLabel[1] deal from the templateXValue[last] season to the templateXValue[0] season . In the templateXValue[0] season , templateTitleSubject[0] templateTitleSubject[0] received templateYValue[max] templateYLabel[3] templateYLabel[4] from its templateYLabel[0] sponsor Yokohama .
templateTitleSubject[0] templateTitleSubject[0] generated a templateTitle[3] templateYLabel[0] amounting to about templateYValue[min] templateYLabel[1] templateYLabel[2] templateYLabel[3] in the fiscal templateXLabel[0] templateXValue[max] . The company 's revenues of templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] in the country in templateXValue[max] . templateTitleSubject[0] templateTitleSubject[0] is a French luxury goods manufacturers , which in templateXValue[max] generated around 38.7 templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateYLabel[0] , bringing the company 's overall templateYLabel[0] to more than 58 templateYLabel[1] templateYLabel[2] templateYLabel[3] in that templateXLabel[0] .
The statistic shows a templateTitleSubject[0] of the global templateTitle[1] templateTitle[2] templateYLabel[0] templateYLabel[1] from templateXValue[min] to templateXValue[max] . In templateXValue[7] , the templateYLabel[0] of templateTitle[2] templateYLabel[1] stood at templateYValue[min] percent . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] is expected to increase by templateYValue[0] percent .
This graph shows the templateYLabel[0] of templateTitle[0] templateTitleSubject[0] templateTitleSubject[0] ( PACs ) active in the country in templateTitleDate[0] , distinguished templateTitle[5] templateXLabel[0] templateXLabel[1] . In templateTitleDate[0] , there were templateTitle[3] templateYValue[1] active templateXValue[1] templateTitle[0] active templateTitleSubject[0] in the country .
As of the fourth templateXLabel[0] of templateTitleDate[0] , templateYValue[max] mobile templateYLabel[2] were templateYLabel[1] in the templateTitle[0] templateTitleSubject[0] . This represents a 0.4 percent growth in templateYLabel[1] templateYLabel[2] compared to the previous templateXLabel[0] . The templateTitle[0] templateTitleSubject[0] does not only offer Android templateYLabel[2] but also templateYLabel[2] specifically optimized for its range of Kindle Fire tablets as well as the Fire TV and Fire Phone .
The statistic shows the templateYLabel[1] in real templateYLabel[0] in templateTitleSubject[0] from between templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , templateTitleSubject[0] 's real templateTitle[0] templateTitle[1] templateTitle[2] increased by around templateYValue[6] percent templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] templateTitle[3] parent families with a female householder and no spouse present in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[28] percent of all templateTitleSubject[0] families with a templateTitle[3] mother in the templateTitle[5] lived below the templateYLabel[0] level . In templateXValue[max] , that figure was at templateYValue[min] percent .
This statistic depicts the templateTitle[0] templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were a templateTitle[0] of templateYValue[max] directory listings for templateYLabel[1] templateYLabel[2] throughout the templateTitleSubject[0] templateTitleSubject[0] .
This statistic shows the templateTitle[0] templateTitle[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the templateTitle[0] templateTitle[1] of templateTitleSubject[0] amounted to approximately templateYValue[7] templateYLabel[1] templateYLabel[0] . templateTitle[1] of templateTitleSubject[0] is a country constantly plagued by war and terrorism .
The statistic shows the templateYLabel[1] of the templateTitle[1] templateTitle[2] templateTitle[3] ( VPN ) templateYLabel[0] worldwide , from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitleSubject[0] VPN templateYLabel[0] is forecast to reach templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] . templateTitle[1] templateTitle[2] networks are designed to extend a templateTitle[3] securely from a templateTitle[2] location , such as a business or home , across a public templateTitle[3] , as if the templateTitle[3] were directly linked .
As of December templateTitleDate[0] , templateXValue[0] had the largest templateYLabel[0] of templateTitle[0] with around templateYValue[max] templateYLabel[1] templateYLabel[2] in the templateTitle[2] . In the same time period , it was found that templateTitle[1] service templateXValue[1] generated over templateYValue[0] thousand workers . Current reports estimate that health care expenditures account for over 11 percent of templateTitleSubject[0] 's gross domestic product ( GDP ) .
The templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] decreased since templateXValue[6] , when it was templateYValue[5] percent , down to templateYValue[min] percent in templateXValue[max] . However , the employment templateYLabel[1] increased in templateXValue[max] , when it was measured at templateYValue[0] percent . The templateYLabel[0] templateYLabel[1] among men has been higher than for women for many years , but in templateXValue[max] it was templateYValue[2] percent , which was 0.2 percentage point lower than the templateYValue[3] percent among women .
As of templateTitleDate[0] , right-wing American news website templateTitle[0] was rated as templateXValue[2] at templateXValue[2] templateXValue[2] by templateYValue[2] percent of templateYLabel[1] from a survey of over two thousand templateTitleSubject[0] adults . Additionally , over half of templateYLabel[1] had either templateXValue[0] templateXValue[0] of the publication or had templateXValue[1] templateXValue[1] about templateTitle[0] 's templateTitle[1] . Conservative view of news media While right-wing websites and online publications have grown in number and popularity in recent years , Fox News remains the largest and perhaps most influential conservative news source in the templateTitle[2] .
This statistic shows the top ten templateYLabel[3] templateTitle[2] templateTitle[3] on templateTitle[4] templateYLabel[0] in templateTitleDate[0] . In that year , the templateXValue[0] templateXValue[0] was the largest templateTitle[1] consumer templateTitle[4] , using a total of almost templateYValue[max] templateYLabel[2] templateYLabel[3] of templateTitle[1] . templateTitle[1] templateYLabel[0] templateTitle[4] templateTitle[1] is a heavy metal that occurs in many rocks as well as in sea water .
This statistic shows the total annual templateYLabel[0] on templateTitle[0] and furnishings in the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] , based on volume . In templateXValue[max] , templateTitleSubject[1] households purchased approximately 19.1 templateYLabel[1] British pounds worth of templateTitle[0] and furnishings , an increase on the previous templateXLabel[0] of roughly one and a half templateYLabel[1] British pounds . According to results of the templateXValue[1] Statista Global Consumer survey , 24 percent of templateTitleSubject[1] consumers have bought templateTitle[0] and household goods online in the last 12 months , while 33 percent claim to mostly look online for information about these products .
Between templateXValue[min] and templateXValue[max] , the templateTitle[2] templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] increased from templateYValue[min] templateYLabel[1] templateYLabel[2] templateYLabel[3] to templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] , up from templateYValue[1] templateYLabel[1] templateYLabel[2] templateYLabel[3] in the previous templateXLabel[0] . templateTitleSubject[0] templateTitle[2] templateTitle[4] Since additional information According to the templateTitleSubject[0] templateTitleSubject[0] , which is one of the most successful templateTitleSubject[0] in the UK .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at approximately templateYValue[min] percent .
This statistic shows the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[6] , the estimated average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to about templateYValue[6] percent templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
The statistic shows the templateYLabel[0] of the templateYLabel[1] templateYLabel[2] in European Union member states and other selected European countries in templateTitleDate[0] , templateTitle[4] templateXLabel[0] . During that period , templateXValue[0] had the highest templateYLabel[1] templateYLabel[2] in templateTitle[3] , with templateYValue[max] percent .
The statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) in templateTitleSubject[0] from templateXValue[min] to templateXValue[7] , with projections up until templateXValue[max] . templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) denotes the aggregate value of all services and goods produced within a country in any given templateXLabel[0] . templateTitle[3] is an important indicator of a country 's economic power .
This statistic depicts the templateTitleSubject[0] annual templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[6] templateXValue[min] through 2025* . In templateXValue[7] , the templateTitleSubject[0] templateYLabel[0] templateTitle[2] templateTitle[3] templateTitle[4] stood at templateYValue[min] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] templateYLabel[5] templateYLabel[6] .
This statistic displays the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] templateTitleSubject[0] from templateTitleDate[0] to templateTitleDate[1] . In templateTitleDate[1] , templateYLabel[0] in templateTitleSubject[0] templateTitleSubject[0] was templateYValue[0] percent .
The statistic shows the templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] from the templateXValue[last] season to the templateXValue[0] season . The season runs from July 1 to June 30 of the following templateXLabel[0] . The templateYLabel[0] of the templateXValue[0] season was templateYValue[0] templateYLabel[1] templateYLabel[2] .
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] of a templateTitle[2] is an index that divides the templateTitle[2] into two equal groups : half of the templateTitle[2] is older than the templateYLabel[0] templateYLabel[1] and the other half younger.In templateXValue[7] , the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] 's templateTitle[2] was templateYValue[7] templateYLabel[2] . See templateTitleSubject[0] 's templateTitle[2] figures for comparison .
In templateXValue[max] , the annual templateYLabel[0] of visitor exports is expected to reach templateYValue[max] templateYLabel[1] templateYLabel[2] . The spending of templateTitle[0] tourists in the country slightly decreased in templateXValue[3] , after the terrorist attacks which took place in Paris and Nice respectively in templateXValue[4] and templateXValue[3] . However , in templateXValue[2] , templateTitleSubject[0] had the fifth largest templateTitle[0] tourism templateTitle[3] worldwide .
The statistic above shows templateTitleSubject[0] templateTitle[1] templateTitle[2] templateYLabel[0] in the templateTitle[4] in templateTitleDate[0] , templateTitle[5] templateXLabel[0] . In that year , templateXValue[0] 's templateYLabel[0] amounted to templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] in the that year .
The statistic shows templateTitleSubject[0] templateTitle[1] templateYLabel[0] templateYLabel[1] in templateYLabel[2] to templateYLabel[3] between templateXValue[min] and templateXValue[6] , with projections up until templateXValue[max] . A positive value indicates a templateYLabel[0] surplus , a negative value indicates a trade deficit . In templateXValue[6] , templateTitleSubject[0] templateTitle[1] trade deficit amounted to around 7.23 percent of templateYLabel[3] .
In templateXValue[max] , the templateTitle[0] templateTitle[1] templateTitle[2] made up almost templateYValue[0] percent of templateTitleSubject[0] templateYLabel[1] in the templateTitleSubject[0] . This is probably due to the templateTitle[1] insurance system . In the templateTitleSubject[0] , every resident or employee is obliged to take a basic templateTitle[1] insurance to cover medical costs from , for example , visits to a general practitioner or the hospital .
The statistic depicts the templateYLabel[0] of the Virgin templateTitleSubject[0] templateTitleSubject[0] company from templateXValue[min] to templateXValue[max] . In templateXValue[1] , the health templateTitle[1] chain is expected to generate a templateYLabel[0] of templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] . In templateXValue[1] , the templateTitleSubject[0] based company operated 307 clubs .
In the fourth templateXLabel[0] of templateTitleDate[0] , templateYValue[max] templateYLabel[3] people had access to templateYLabel[1] in templateTitleSubject[0] , resulting a fast-growing mobile app market in the country . templateYLabel[1] use in templateTitleSubject[0] – additional information Off the around 3.9 templateYLabel[3] mentions in the templateTitle[4] as of templateTitleDate[0] , templateTitleSubject[0] accounted for more than 20 percent .
In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at approximately templateYValue[0] percent of the total labor force . The templateYLabel[0] templateYLabel[1] is the percentage of a country 's labor force that are without jobs but are available to work and actively seeking employment . templateTitleSubject[0] 's templateYLabel[0] templateYLabel[1] is above the worldwide templateYLabel[0] templateYLabel[1] , and compared to other Sub-Saharan African countries and other regions , templateTitleSubject[0] has a relatively average templateYLabel[1] of templateYLabel[0] .
The statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] and templateXValue[max] . According to the source , the data are ILO estimates . In templateXValue[max] , the estimated templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] was at templateYValue[0] percent .
As of December 2019 , the templateTitle[2] movie which had the highest templateYLabel[0] templateYLabel[1] at the templateTitleSubject[0] American box office was recorded in the country . The company had the highest templateYLabel[0] templateYLabel[1] of templateYLabel[2] in this time was about templateYValue[max] thousand in 2019 . One of the fourth half of the company templateTitle[1] most recent sales , which has known more than the peak in the last few years .
This statistic shows the distribution of templateTitle[0] templateTitle[1] templateTitle[2] in templateTitle[3] in the templateTitleSubject[0] templateTitleSubject[0] ( templateTitleSubject[1] ) as of January templateTitleDate[0] . In this year , there were templateYValue[1] templateTitle[1] templateTitle[2] in the templateTitleSubject[0] templateTitleSubject[0] . By additional information , the country had its average consumer listen to over 1.44 templateYLabel[1] .
The templateYLabel[0] of templateTitleSubject[0] templateTitle[1] templateYLabel[1] amounted to around templateYValue[max] templateYLabel[2] in templateXValue[max] , down from templateYValue[1] templateYLabel[2] in the previous templateXLabel[0] . Their is an increase of around 0.55 templateYLabel[2] templateYLabel[3] since templateXValue[min] . templateYLabel[2] templateTitle[2] laws Canada has complex templateTitle[2] laws which have developed since Prohibition in the 1920s .
The statistic shows the templateYLabel[0] of templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , templateTitle[1] templateTitle[2] templateTitle[3] grew by templateYValue[3] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
In templateTitleDate[0] , the templateYLabel[0] of templateTitle[2] templateYLabel[1] by templateTitle[0] in the templateTitleSubject[0] templateTitleSubject[0] amounted to approximately templateYValue[0] templateYLabel[2] in templateXValue[0] , making it the most popular templateXLabel[0] in any European Union . As of February templateTitleDate[0] , the largest templateYLabel[1] amounted to approximately 152 templateYLabel[2] euros . However , the templateYLabel[0] templateYLabel[1] amounted to over 700 templateYLabel[2] .
According to a templateTitleDate[0] Statista survey , templateYValue[max] percent of the templateTitle[6] templateYLabel[1] use their templateTitle[1] to templateXValue[0] to templateXValue[0] . templateXValue[last] common uses of templateTitle[1] included templateXValue[1] templateXValue[1] or templateXValue[1] templateXValue[1] and listening to the templateXValue[2] . Headphone Market The retail value of global headphone shipments was forecast to reach 26.1 billion templateTitle[6] dollars in 2019 , a more than threefold increase in templateYValue[min] years .
This statistic shows the share of adults in the templateTitle[2] as of July templateTitleDate[0] , sorted templateTitle[5] templateTitle[6] . During the survey period , templateYValue[max] percent of templateTitleSubject[0] templateTitle[3] were templateXValue[0] and templateYValue[min] percent were templateXValue[last] .
This statistic depicts the annual National Hockey League templateYLabel[0] of the templateTitleSubject[0] templateTitle[1] from the templateXValue[last] season to the templateXValue[0] season . The templateYLabel[0] of the templateTitleSubject[0] templateTitle[1] amounted to templateYValue[max] templateYLabel[1] 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[max] percent of templateTitleSubject[0] 's templateYLabel[3] templateYLabel[2] lived in templateYLabel[1] areas and cities .
In templateXValue[max] , the templateTitle[2] and templateTitle[3] industry in templateTitleSubject[0] contributed around templateYValue[min] templateYLabel[2] templateYLabel[3] templateYLabel[4] to the country 's templateTitle[4] . In templateXValue[3] , the country welcomed over 10 templateYLabel[2] foreign tourists , generating foreign exchange earnings of over 27.31 templateYLabel[2] templateYLabel[3] templateYLabel[4] . Domestic templateTitle[2] on the rise With a rich culture , ancient monuments , and mesmerizing natural beauty , templateTitleSubject[0] is one of the leading tourist destinations in the world .
Between templateXValue[min] and templateXValue[max] , the templateYLabel[0] of the templateTitleSubject[0] templateTitle[2] increased from templateYValue[min] templateYLabel[1] templateYLabel[2] to templateYValue[max] templateYLabel[1] templateYLabel[2] , which it experienced a slight decline of roughly 2 templateYLabel[1] templateYLabel[2] when the previous templateXLabel[0] . templateTitle[2] templateTitle[3] templateTitle[4] in the templateTitleSubject[0] templateTitleSubject[0] is a part of the most prominent those in the templateTitleSubject[0] and templateTitleSubject[1] . The company has increased in the last few years .
As of templateXValue[max] it is estimated that there is approximately templateYValue[max] thousand templateYLabel[2] templateYLabel[3] in templateYLabel[0] . In recent years , the templateYLabel[0] of templateTitleSubject[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] over the past five years . In templateXValue[max] , their numbers reached nearly templateYValue[8] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] of templateTitleSubject[0] templateYLabel[1] in templateTitleSubject[1] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[max] templateTitleSubject[0] templateYLabel[1] templateTitle[3] .
The graph 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] had reached about templateYValue[max] templateYLabel[3] templateYLabel[4] .
As of June templateTitleDate[0] , templateXValue[0] templateXValue[0] is the European football player with the most templateYLabel[0] templateYLabel[1] in the templateTitleSubject[0] templateTitleSubject[0] with a total of templateYValue[max] templateYLabel[0] , followed by templateXValue[1] templateXValue[1] templateXValue[1] templateXValue[1] with templateYValue[1] . The record for most matches played in the templateTitleSubject[0] templateTitleSubject[0] is held by Giuseppe Bergomi with 96 games played before Frank Rost with 90 games under his belt . Further records When it comes to number of appearances of clubs in the templateTitleSubject[0] templateTitleSubject[0] , Sporting Lisbon ranked first , having taken part 32 times in the templateTitleSubject[0] and Club Brugge ranked second with 30 appearances .
The statistic shows the templateTitle[0] templateTitle[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the templateTitle[0] templateTitle[1] of templateTitleSubject[0] amounted to around templateYValue[6] templateYLabel[1] templateYLabel[0] . templateTitle[1] of templateTitleSubject[0] is the second largest nation in the world , in terms of area size , although its templateTitle[0] templateTitle[1] is low in numbers compared to other countries .
The figure shows the templateTitleSubject[0] of templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateYLabel[1] templateTitle[6] from templateXValue[min] to templateXValue[max] . In templateXValue[3] , there were templateYValue[2] percent of the world 's templateTitle[2] templateTitle[3] templateTitle[4] templateYLabel[1] templateTitle[6] is expected to increase by templateYValue[max] percent .
This statistic shows the templateYLabel[0] of the chemical element templateTitleSubject[0] ( also known as wolfram ) templateTitle[2] in templateTitleDate[0] , templateTitle[3] templateXLabel[0] . In that year , templateXValue[0] had the templateXValue[last] 's largest templateTitleSubject[0] templateYLabel[0] , at some templateYValue[max] templateYLabel[1] templateYLabel[2] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the global templateTitle[2] templateTitle[3] templateTitle[4] from templateXValue[min] to templateXValue[max] . The templateTitle[2] templateTitle[3] templateTitle[4] is templateTitle[1] to grow by templateYValue[9] percent in templateXValue[max] .
This statistic gives information on the templateTitle[1] templateTitle[2] of templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] as of October templateTitle[5] . During this period of time , templateYValue[min] percent of Indian templateYLabel[1] templateYLabel[2] were templateXValue[0] or templateYValue[min] percent .
This statistic displays the templateYLabel[0] of templateYLabel[1] templateTitle[2] templateTitleSubject[0] from templateXValue[last] to templateXValue[0] templateTitleDate[0] . As of the last reported period , the note-taking and productivity app had an estimated templateYValue[max] templateYLabel[2] templateYLabel[1] worldwide , up from templateYValue[5] templateYLabel[2] in July 2015 .
The templateYLabel[0] templateTitle[2] templateYLabel[1] of templateTitle[4] templateTitle[5] has risen steadily in the templateTitle[0] , reaching a peak of almost templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] templateYLabel[5] in templateXValue[max] . In the templateTitle[0] , templateTitle[5] prices tend to reflect costs related to construction , finance , maintenance , and operation of power plants and templateTitle[5] grids . How do templateTitle[5] rates differ ? The templateYLabel[1] of templateTitle[5] can vary widely across the states with Hawaii having one of the highest rates and Idaho one of the lowest .
As of March of templateTitleDate[0] , around templateYValue[max] percent of Americans felt that templateTitle[1] templateTitle[2] websites templateXValue[0] report templateTitle[5] templateTitle[2] stories in the templateTitle[7] . Another templateYValue[1] percent of templateYLabel[1] stated that they believed that templateTitle[1] templateTitle[2] websites templateXValue[1] report templateTitle[5] templateTitle[2] stories . Just templateYValue[2] percent of adults said that they did templateXValue[2] believe that templateTitle[5] templateTitle[2] stories were being reported templateTitle[1] .
This graph depicts the total templateTitle[0] templateTitle[1] templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] templateTitleSubject[0] templateTitle[6] franchise of the National Football League from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitle[1] templateYLabel[0] templateYLabel[1] of the franchise was templateYValue[0] .
The statistic shows the templateYLabel[0] in in the templateTitleSubject[0] templateTitleSubject[0] in templateTitleDate[0] , templateTitle[3] templateXLabel[0] . In templateTitleDate[0] , the templateXValue[0] templateXValue[0] had the highest templateYLabel[0] of templateYLabel[1] templateYLabel[2] to about templateYValue[1] percent .
This statistic displays the templateTitle[3] templateYLabel[0] templateYLabel[1] ( as of the end of each templateXLabel[0] ) of the templateTitle[0] to the templateTitleSubject[0] templateTitle[2] ( EUR/RUB ) , according to data from the European Central Bank , from January templateTitleDate[0] to January templateTitleDate[1] . The concrete , or point in time , measure shows the templateYLabel[0] templateYLabel[1] as of the last day of each templateXLabel[0] , which is different to the standardized measure ; calculation of average based on observations throughout the period in question.Monthly change After seeing a height of templateYValue[max] rubles to the templateTitle[0] in February 2016 , the templateTitle[3] templateYLabel[0] templateYLabel[1] has fluctuated . Between December 2018 and January templateTitleDate[1] , the end of templateXLabel[0] templateYLabel[0] templateYLabel[1] between the templateTitle[0] and templateTitleSubject[0] templateTitle[2] has seen a downward trend .
This statistic shows the top 25 templateTitle[0] in the world templateTitle[1] the templateTitle[2] number of templateYLabel[1] templateYLabel[2] in templateTitleDate[0] . In templateTitleDate[0] , there were about templateYValue[1] templateYLabel[3] Muslims living in templateXValue[1] .
The countries in the templateTitleSubject[0] templateTitleSubject[0] are renowned for their vast templateYLabel[0] reserves in the global market . While the largest importer of templateYLabel[0] and petroleum is the templateXValue[3] States , the leading producer of templateYLabel[0] in the templateTitleSubject[0] templateTitleSubject[0] is templateXValue[0] templateXValue[0] with over templateYValue[max] templateYLabel[2] templateYLabel[3] of templateYLabel[0] produced templateYLabel[4] templateYLabel[5] as of templateTitleDate[0] . `` Global templateYLabel[0] reserves and trade '' Besides templateXValue[0] templateXValue[0] , the templateXValue[3] States imports petroleum from various countries around the world among which Canada is the largest exporter of petroleum having exported around 4.3 templateYLabel[2] templateYLabel[3] of petroleum to the templateXValue[3] States in templateTitleDate[0] .
This statistic illustrates the templateYLabel[0] of templateTitleSubject[0] templateTitle[2] of templateTitle[3] templateTitle[4] templateYLabel[1] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[max] templateTitleSubject[0] templateTitle[2] templateTitle[3] templateTitle[4] templateYLabel[1] templateYLabel[2] , up from templateYValue[1] templateYLabel[1] in the previous templateXLabel[0] .
The graph shows the 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 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 around 466 templateYLabel[2] templateYLabel[3] templateYLabel[4] . For comparison , the Greek templateYLabel[1] amounted to approximately 375 templateYLabel[2] templateYLabel[3] templateYLabel[4] that same templateXLabel[0] .
This statistic provides information on the templateTitle[1] templateTitle[2] templateTitle[3] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , it was estimated that templateYValue[max] percent of the Indian templateYLabel[1] will be accessing templateTitle[1] networks , up from templateYValue[5] percent in templateXValue[5] .
The statistic shows the templateTitle[3] of the global templateTitleSubject[0] templateTitle[1] templateYLabel[0] , from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitleSubject[0] templateTitle[1] templateYLabel[0] is expected to be worth templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateTitle[4] .
The biggest templateXLabel[0] of origin for templateTitle[2] imported into the templateTitleSubject[0] templateTitleSubject[0] was templateXValue[0] . In templateTitleDate[0] , the templateXLabel[0] supplied templateTitle[2] worth over two hundred million British pounds to the UK . templateXValue[1] and the templateXValue[2] rank next , with templateTitle[3] from these templateTitle[6] amounting to templateYValue[1] and templateYValue[2] million pounds respectively .
This statistic represents templateTitleSubject[0] templateTitle[4] templateTitle[5] from the fiscal templateXLabel[0] of templateXValue[min] to the fiscal templateXLabel[0] of templateXValue[max] . In the fiscal templateXLabel[0] of templateXValue[max] , the multinational templateTitle[1] company with headquarters in Luxembourg generated around templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateTitle[5] .
The statistic shows the templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] franchise from the 2001/02 season to the 2018/19 season . In 2018/19 , the estimated templateYLabel[0] of the National Basketball Association franchise amounted to templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
The statistic shows the templateYLabel[0] of worldwide templateYLabel[1] templateYLabel[2] in the templateTitle[1] templateTitle[3] templateTitle[4] in templateTitleDate[0] , broken down templateTitle[5] templateXLabel[0] . In that year , the templateXValue[1] templateXValue[0] generated templateYValue[max] percent of templateXValue[last] templateYLabel[1] templateYLabel[2] .
This statistic shows the number of templateTitle[1] templateTitle[2] templateYLabel[1] templateTitle[5] region in templateTitleDate[0] , broken down templateTitle[5] templateTitle[6] templateTitle[7] . The United Kingdom ( templateXValue[last] ) is the biggest templateYLabel[1] templateYLabel[2] market among the displayed countries , handling approximately templateYValue[max] percent more templateYLabel[1] cars than templateXValue[9] in templateTitleDate[0] .
This statistic shows templateTitleSubject[0] templateTitle[1] templateTitle[2] templateYLabel[0] in the templateTitle[4] from templateXValue[last] to templateXValue[0] . In templateXValue[2] , the social network templateTitle[4] templateYLabel[0] amounted to templateYValue[1] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic gives information on the templateTitle[1] of templateTitle[0] templateYLabel[1] in the templateTitle[2] as of January templateTitleDate[0] , sorted templateTitle[5] templateTitle[6] . During the survey period , templateYValue[max] percent of templateTitleSubject[0] templateTitle[0] templateTitle[3] were templateXValue[0] and templateYValue[max] percent were templateXValue[last] .
In the academic templateXLabel[0] templateXValue[0] there were approximately templateYValue[0] thousand templateTitle[2] templateYLabel[1] in the templateTitleSubject[0] templateTitleSubject[0] , around 900 fewer than there were in the templateXValue[last] academic templateXLabel[0] . During templateXValue[1] templateTitle[1] templateYLabel[1] had the worst teacher to pupil ratio in the UK , with around 22 children for every one teacher .
In templateXValue[max] , the templateTitle[1] templateYLabel[0] of templateTitle[3] in the templateTitleSubject[0] was templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] , a slight increase from the previous templateXLabel[0] . Compared with templateXValue[min] , the templateTitleSubject[1] templateYLabel[0] of templateTitle[3] in the templateTitleSubject[0] was templateYValue[min] templateYLabel[1] templateYLabel[2] templateYLabel[3] , before falling by the levels . NATO and the two percent pledge The templateTitleSubject[0] templateTitleSubject[0] is a founding member of the North Atlantic Treaty Organization ( NATO ) a military and political alliance initiated on the principle that an attack on one member is an attack on all .
This statistic shows the templateYLabel[0] of templateYLabel[1] at templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] templateTitleSubject[0] employed 91,254 people worldwide , of which 35,284 were located in South Korea .
This statistic shows the most popular templateXValue[5] templateTitle[3] templateTitle[4] in the templateTitle[1] as of July templateTitleDate[0] , ranked templateTitle[6] templateYLabel[0] . As of that point , templateXValue[0] was the most popular templateXValue[5] templateTitle[3] service , with a templateYLabel[0] of templateYValue[max] percent of the measured period .
The statistic shows the templateYLabel[0] of templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] a templateTitle[4] in the templateTitleSubject[0] templateTitleSubject[0] ( templateTitleSubject[1] ) from templateXValue[0] to templateXValue[0] . In this period , individuals aged between templateXValue[0] and 18 templateXValue[0] old templateTitle[3] templateYValue[max] templateYLabel[1] of templateTitle[1] templateTitle[2] per day .
This statistic shows the total templateYLabel[0] of oranges in the templateTitle[0] from templateXValue[min] to templateXValue[max] . According to the report , approximately templateYValue[0] templateYLabel[1] templateYLabel[2] of templateTitle[2] were produced in the country in templateXValue[max] .
The graph shows the top ten templateTitleSubject[0] templateTitle[1] templateTitle[2] in templateTitleDate[0] . In that year , templateXValue[0] templateXValue[0] was the market leader , where around templateYValue[max] templateYLabel[0] templateYLabel[1] . templateXValue[1] templateXValue[1] was ranked second with a templateYLabel[0] templateYLabel[1] of about templateYValue[1] templateYLabel[2] templateYLabel[3] .
This graph depicts the total templateTitle[0] templateTitle[1] templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] templateTitleSubject[0] templateTitle[6] franchise of the National Football League from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitle[1] templateYLabel[0] templateYLabel[1] of the franchise was templateYValue[0] .
The timeline shows the 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[min] templateYLabel[3] in templateXValue[max] .
The templateXValue[33] with the highest rates of templateTitle[1] include templateXValue[last] , templateXValue[50] , templateXValue[49] and templateXValue[48] . templateTitle[1] is more commonly known as whooping cough . It is a respiratory disease that causes uncontrollable coughing .
The statistic shows the share of adults in the templateTitleSubject[0] templateTitleSubject[0] who were using templateTitle[0] as of February templateTitleDate[0] , sorted templateTitle[6] templateTitle[7] templateTitle[8] . During that period of time , templateYValue[max] percent of respondents between 18 and 29 years used the social networking site .
The timeline shows the global templateTitle[2] of templateTitle[0] templateTitleSubject[0] templateTitle[2] templateYLabel[1] from templateXValue[min] to templateXValue[max] . In templateXValue[1] , it is expected that the templateTitleSubject[0] templateTitleSubject[0] templateTitle[5] will reach templateYValue[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] at a 27 percent compound annual growth rate . This translates to over 50 billion U.S. dollars in templateXValue[3] .
The statistic shows a forecast for the worldwide templateYLabel[0] templateYLabel[1] of templateTitle[1] templateTitle[2] to templateTitleSubject[0] from templateXValue[min] to templateXValue[max] , in templateYLabel[2] templateYLabel[3] templateYLabel[4] . In templateXValue[3] , templateTitle[0] templateTitle[4] from templateTitle[1] videos viewed through television devices such as internet-ready set-top boxes is estimated to reach templateYValue[3] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This statistic presents the templateYLabel[0] of templateTitle[1] templateTitle[2] templateTitleSubject[0] chat app from templateXValue[last] to December templateTitleDate[0] . In the last measured period , the mobile messaging app had an estimated templateYValue[max] templateYLabel[2] templateYLabel[1] worldwide , up from templateYValue[1] templateYLabel[2] in templateXValue[last] templateTitleDate[0] .
The graph shows the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] 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] templateTitleSubject[0] was about templateYValue[6] templateYLabel[2] templateYLabel[3] templateYLabel[4] . Reduction of the templateYLabel[0] templateYLabel[1] and recovery of the economy in the UK The templateYLabel[1] of the templateTitleSubject[0] templateTitleSubject[0] , which amounted to around 1,600 templateYLabel[2] pounds in templateXValue[min] - more than it has ever been - is projected to keep rising .
The statistic shows the templateTitle[2] templateTitle[3] templateTitle[4] in the templateYLabel[0] templateYLabel[1] in templateTitleDate[0] . templateXValue[0] was the highest templateYLabel[0] templateYLabel[1] at templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] . templateXValue[1] followed with templateYValue[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
The statistic illustrates the templateTitle[2] costs templateYLabel[1] templateYLabel[2] templateYLabel[3] of templateTitle[0] templateTitle[1] spaces in templateTitleSubject[0] ( CBD ) , France , from the first templateXLabel[0] templateXValue[0] to the first templateXLabel[0] of templateXValue[0] . In the first templateXLabel[0] of templateTitleDate[1] , templateTitleSubject[0] increased over templateYValue[0] templateYLabel[4] templateYLabel[1] templateYLabel[2] templateYLabel[3] of the first templateXLabel[0] of templateXValue[last] .
As of 23rd January templateTitleDate[0] , templateXValue[0] templateXValue[0] is the templateTitle[8] templateTitle[9] leader in templateYLabel[0] , followed by the templateTitle[1] templateTitle[2] team of the templateTitleSubject[0] templateTitle[4] a total of templateYValue[max] templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateYLabel[3] , followed templateTitle[6] templateXValue[1] templateTitle[4] templateYValue[1] templateYLabel[0] . In second place , the same templateXValue[9] in terms of infrastructure , was founded in the templateTitle[1] average .
This statistic shows the templateTitle[3] of the templateYLabel[1] templateYLabel[2] in the templateTitleSubject[0] templateTitleSubject[0] ( templateTitleSubject[1] ) from templateTitleDate[0] to templateTitleDate[1] . Over this period , the templateYLabel[0] of templateYLabel[2] was expected to increase from templateYValue[min] percent .
templateXValue[0] is the most active templateTitle[0] templateTitle[1] among internet users in the templateTitleSubject[0] templateTitleSubject[0] ( templateTitleSubject[1] ) , with templateYValue[max] percent of people reporting use of the service . templateXValue[1] was very close behind , with a rate of templateYValue[1] percent . templateXValue[0] 's broad audience in the templateTitleSubject[0] templateTitleSubject[0] templateXValue[0] reaches a broad audience in the templateTitleSubject[1] , making it an attractive partner for advertisers of almost any product .
The statistic illustrates the templateYLabel[0] of templateTitle[1] templateTitle[2] per day in the templateTitle[0] in templateTitleDate[0] , broken down templateTitle[5] templateTitle[6] templateXLabel[0] . In that year , templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] were committed in templateXValue[0] were templateTitle[1] .
The statistic shows the templateTitle[0] templateTitle[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[1] of templateTitleSubject[0] 's templateTitle[0] amounted to templateYValue[min] templateYLabel[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
A survey of online users in the templateTitle[5] revealed that templateYValue[max] percent of templateYLabel[1] felt that templateXValue[0] templateXValue[0] and messaging apps were among the three types of apps that they templateTitle[1] the most templateTitleSubject[0] on . During the third quarter templateTitleDate[0] survey , templateYValue[6] percent of templateYLabel[1] stated the same about gaming apps .
This statistic shows the templateYLabel[0] of the templateTitle[1] templateTitle[2] in the templateTitle[0] in templateTitleDate[0] , templateTitle[5] templateXLabel[0] templateXLabel[1] . In templateTitleDate[0] , around templateYValue[max] templateYLabel[1] templateYLabel[2] of tomatoes for templateTitle[1] templateTitle[2] were produced that year .
As of December templateTitleDate[0] , the most templateYLabel[1] templateTitle[1] was around templateYValue[max] templateYLabel[3] templateYLabel[4] templateYLabel[5] in the templateTitle[1] , accounting for templateXValue[1] templateXValue[1] , and templateXValue[2] templateXValue[2] . At that time , templateXValue[0] templateXValue[0] had a total of templateYValue[min] templateYLabel[3] templateYLabel[4] templateYLabel[5] . templateTitle[2] industry in the country .
The statistic shows the templateTitle[0] templateTitle[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitle[1] of templateTitleSubject[0] was at approximately templateYValue[0] templateYLabel[1] templateYLabel[0] . The Syrian refugee crisis The war in templateTitleSubject[0] has been escalating since 2011 , which has made it difficult to estimate the current templateTitle[1] of the country .
This statistic shows the total amount of templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] generated templateYLabel[0] person templateYLabel[0] templateYLabel[5] between templateXValue[min] and templateXValue[max] . In the templateTitle[0] , an average of templateYValue[0] templateYLabel[3] of templateTitle[1] templateTitle[2] templateTitle[3] were generated daily templateYLabel[0] person in templateXValue[max] . templateTitle[1] templateTitle[2] templateTitle[3] templateYLabel[2] in the United StatesNon-hazardous templateTitle[3] consists of industrial templateTitle[3] and templateTitle[1] templateTitle[2] templateTitle[3] .
According to quarterly pulse monitors , the growth of templateTitle[0] property templateTitle[3] in the templateTitleSubject[0] is expected to slow down in templateXValue[1] and templateXValue[max] . In templateXValue[max] , housing templateTitle[3] are believed to increase with templateYValue[min] percent . This is significantly less than in August templateXValue[1] , when templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] grew with approximately 5.7 percent when compared to the same month a templateXLabel[0] before .
The timeline shows the templateYLabel[0] car production of templateTitleSubject[0] templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] templateYLabel[2] around templateYValue[max] million templateYLabel[0] templateYLabel[1] templateTitle[4] . templateTitleSubject[0] is ranked among the 15 largest automakers templateTitle[4] .
The statistic shows the penetration rate of desktop and laptop computers templateTitle[2] templateYLabel[2] in the templateTitle[3] between templateXValue[last] and templateTitleDate[1] . As of templateXValue[0] templateXValue[0] , templateYValue[0] percent of Americans owned a desktop or laptop computer .
This statistic shows the results of a survey among female templateTitleSubject[0] high school students templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] . According to the source , templateYValue[max] percent of female students in the templateTitle[1] were templateTitle[5] templateTitle[6] as of 2013 .
templateTitleSubject[0] templateTitleSubject[0] templateTitle[2] templateTitle[3] templateYLabel[1] of the templateTitleSubject[0] templateTitleSubject[0] in templateXValue[max] was templateYValue[0] templateYLabel[2] , down templateTitle[6] just under templateYValue[1] templateYLabel[2] templateYLabel[3] a templateXLabel[0] earlier . While the templateYLabel[1] of airline templateYLabel[0] in the templateTitle[0] has increased in recent years , it is yet to surpass the levels seen prior to the templateXValue[11] recession . Commercial templateTitle[1] The above figures include all commercial air carriers based in the templateTitleSubject[0] who carry cargo and/or passengers on domestic or international flights , and with annual revenue of over 20 templateYLabel[2] templateTitleSubject[0] dollars .
A geographic analysis of the audience found that templateXValue[0] accounted for templateYValue[max] percent of templateTitle[1] templateYLabel[1] in templateTitleSubject[0] as of June 2018 , followed templateTitle[5] templateXValue[1] with templateYValue[1] percent . templateXValue[0] 's templateTitle[1] penetration reached 58.4 percent in that year .
The templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] templateTitle[5] templateTitle[6] templateYLabel[0] amounted to templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] in the final templateXLabel[0] of templateTitle[7] , up templateTitle[8] 263.5 templateYLabel[1] in the corresponding templateXLabel[0] of templateXValue[4] . The templateTitleSubject[0] ' subscription templateYLabel[0] generally grows steadily over the course of each year . However , for the most part , the company sees a small templateYLabel[0] decrease in the third templateXLabel[0] , which has been an ongoing and consistent trend for the company over the last few years .
This statistic shows the preferred templateTitle[3] templateTitle[4] for templateTitle[1] templateTitle[2] according to internet users in the templateTitle[0] in templateTitleDate[0] . During the survey period , it was found that templateYValue[1] percent of templateYLabel[1] most frequently used a templateXValue[1] templateXValue[0] to pay for templateTitle[1] purchases .
As of 2019 , Puerto Rican rapper templateXValue[0] templateXValue[0] templateXValue[0] , often known as 'Residente ' and templateXValue[1] templateXValue[1] or 'Visitante ' _ , both from the band templateXValue[3] templateXValue[3] , had won the templateTitle[0] templateYLabel[2] templateYLabel[3] of templateTitle[5] templateTitle[6] with a total of templateYValue[max] each .
This statistic gives information on the templateTitle[1] templateTitle[3] rate in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , templateYValue[min] percent of the Singaporean templateYLabel[1] were using the templateTitle[1] . In templateXValue[max] , this figure is projected to grow to templateYValue[max] percent .
templateTitle[2] templateYLabel[1] in templateTitleSubject[0] reached an all-time high as of templateXValue[max] , when templateTitleSubject[0] templateTitle[1] auto industry sold some templateYValue[max] templateYLabel[2] templateYLabel[3] . This figure is almost double the templateTitleDate[0] templateYLabel[1] , when just templateYValue[min] templateYLabel[2] templateTitle[2] templateYLabel[3] were sold in templateTitleSubject[0] . templateTitle[2] industry in templateTitleSubject[0] In templateXValue[max] , templateTitle[2] vehicles also made up the majority of vehicles in production in templateTitleSubject[0] , followed by passenger vehicles .
The statistic above presents templateYLabel[0] data for the templateTitleSubject[0] templateTitle[2] templateTitle[3] and sound templateTitle[4] industry from templateXValue[min] to templateXValue[max] . In January templateXValue[max] , this industry employed an estimated templateYValue[0] thousand people , down slightly from templateYValue[1] recorded in the previous templateXLabel[0] .
This statistic illustrates the number of the templateTitle[0] templateYLabel[0] templateTitle[2] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[8] , the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at approximately templateYValue[8] templateYLabel[2] templateYLabel[3] . This was an increase from templateXValue[9] and when the templateYLabel[0] .
The statistic shows the templateTitle[0] templateTitle[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In the templateXLabel[0] templateXValue[max] , about templateYValue[min] templateYLabel[1] were templateYLabel[2] templateYLabel[3] templateYLabel[4] of childbearing age . Despite a decreasing templateTitle[0] templateTitle[1] , the total population of templateTitleSubject[0] is expected to increase over the next few years .
The statistic shows the templateYLabel[0] of templateTitle[0] templateTitle[1] templateTitle[2] in templateTitleDate[0] , templateTitle[4] templateXLabel[0] . In that year , the templateXValue[0] templateXValue[1] accounted for more than templateYValue[1] templateYLabel[2] templateYLabel[3] of templateYLabel[0] in that year .
The statistic shows the templateYLabel[0] of templateTitle[2] templateTitle[3] templateTitle[4] templateYLabel[1] in the templateTitle[0] in templateTitleDate[0] , based on sales value . In that year , Coca Cola 's templateYLabel[0] templateYLabel[1] in templateYLabel[2] amounted to templateYValue[max] percent . The leading 3 templateTitle[2] templateTitle[3] templateTitle[4] in templateYLabel[2] had a templateYLabel[0] templateYLabel[1] of 45.3 percent .
In templateTitleDate[0] , templateXValue[0] was the city with the highest templateYLabel[0] of tourists staying at least templateYValue[8] night templateYLabel[2] capita . That same year , international overnight visitor spending in templateXValue[0] reached 28.5 billion US dollars . The city , which is the largest and most populous city in the United Arab Emirates , was also templateYValue[8] of the most expensive holiday destinations in the world in 2018 .
The statistic illustrates the answers to the following survey question : `` The templateTitle[2] templateXValue[0] templateTitle[5] will probably cost a thousand euros . templateXValue[last] you willing to pay that ? '' As of templateTitleDate[0] , roughly 20 percent of the templateYLabel[1] said to templateXValue[0] templateXValue[0] the templateXValue[0] templateXValue[0] from templateTitleSubject[0] when it is released , even if it templateTitle[6] them a thousand euros . However , more than half of the templateYLabel[1] said the price is templateXValue[1] templateXValue[1] templateXValue[1] for an templateTitleSubject[0] templateXValue[0] .
This statistic shows the templateTitle[0] templateTitle[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . The templateTitle[0] templateTitle[1] is the average templateYLabel[0] of templateYLabel[1] templateYLabel[2] by one templateYLabel[4] while being of child-bearing age . In templateXValue[max] , the templateTitle[0] templateTitle[1] in templateTitleSubject[0] amounted to templateYValue[min] templateYLabel[1] templateYLabel[3] templateYLabel[4] .
The timeline shows the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] templateTitle[2] , a franchise of the National Football League , templateTitle[4] templateXValue[min] to templateXValue[max] . In the templateXValue[max] season , the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[1] templateTitle[2] were at templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
Cosmetics and templateTitle[1] are bought in larger quantities each passing templateXLabel[0] in the UK . Most recently , in September templateTitleDate[1] , the templateTitle[2] templateYLabel[2] templateTitle[4] of articles in these two categories reached an templateYLabel[0] templateYLabel[1] of templateYValue[0] as presented in the graph . This was lower than the templateTitle[4] recorded for the previous months of the year , but still higher than the figures recorded in templateTitleDate[0] , 2017 and the first half of 2018 .
The statistic shows the templateYLabel[0] of templateTitle[2] templateYLabel[1] templateYLabel[2] templateYLabel[3] in the templateTitleSubject[0] templateTitleSubject[0] in templateTitleDate[0] . In templateTitleDate[0] , templateXValue[0] had the largest templateYLabel[0] of templateTitle[2] templateYLabel[2] templateYLabel[3] at templateYValue[max] templateYLabel[4] templateYLabel[5] .
In templateXValue[max] , around templateYValue[0] templateYLabel[2] templateYLabel[3] of templateTitle[5] in the templateTitle[4] stated they felt it was `` fairly easy '' or `` very easy '' to obtain templateTitleSubject[0] . This is a significant decrease from templateYValue[max] templateYLabel[2] templateYLabel[3] in templateXValue[min] . templateTitle[2] industry in the templateTitle[4] has less due to since then .
templateYLabel[0] templateYLabel[1] templateTitle[2] templateTitle[3] in the templateTitleSubject[0] templateTitleSubject[0] has decreased in recent years , with smokers in templateXValue[max] consuming an average of templateYValue[0] templateYLabel[4] templateYLabel[0] templateYLabel[1] . In total , there were around 267 billion templateYLabel[4] consumed in the templateTitle[5] that templateXLabel[0] . templateTitle[2] templateTitle[3] in the templateTitle[5] has decreased due to public policies limiting where people can smoke , higher taxes on templateYLabel[4] , and increased awareness by the general public of the health risks associated with smoking .
In templateXValue[max] , templateYValue[max] percent of templateYLabel[1] were committed at templateTitle[3] establishments in templateTitleSubject[0] . Since templateXValue[8] , figures have been steadily rising , with more and more domestic as well as international templateYLabel[1] in Romanian templateTitle[2] templateTitle[3] .
The statistic shows the templateYLabel[0] of templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of templateTitleSubject[0] templateYLabel[1] amounted to templateYValue[0] templateYLabel[2] templateYLabel[3] .
The statistic shows the templateYLabel[0] of templateTitle[2] templateYLabel[1] templateYLabel[2] in the templateTitleSubject[0] templateTitleSubject[0] in templateTitleDate[0] , templateTitle[6] templateXLabel[0] . In that year , most templateTitle[2] templateYLabel[1] templateYLabel[2] in templateXValue[4] templateXValue[4] was templateYValue[4] templateYLabel[2] 100,000 residents .
The national templateYLabel[0] of templateTitle[2] templateXLabel[1] templateYLabel[1] templateYLabel[2] templateYLabel[3] in the templateTitle[0] in the templateTitleSubject[0] templateTitleSubject[0] ( templateTitleSubject[1] ) was forecast to be about templateYValue[max] templateYLabel[4] templateYLabel[2] in templateTitleDate[0] . templateTitleSubject[0] is one of the most popular social networks worldwide . In 2018 , the As of the fourth quarter of templateXValue[last] , the templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateYLabel[3] amounted to templateYValue[4] percent .
This statistic shows the templateYLabel[2] templateYLabel[3] in the previous templateYLabel[0] of the templateTitle[1] templateTitle[0] in templateTitleSubject[0] from January templateTitleDate[0] to January templateTitleDate[1] . In January templateTitleDate[1] , the templateTitle[1] templateTitle[0] in templateTitleSubject[0] increased by approximately 1.14 percent . November templateTitleDate[0] saw the highest templateTitle[1] in this period , with an templateTitle[1] templateTitle[0] of nearly templateYValue[max] percent in comparison to the previous templateYLabel[0] .
In templateXValue[max] , the total templateYLabel[0] of companies producing templateTitle[0] and templateTitle[2] was about templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] . Between templateXValue[7] and templateXValue[max] the templateYLabel[0] fluctuated . However , prior to templateXValue[7] templateYLabel[0] was much higher , reaching over templateYValue[8] templateYLabel[1] templateYLabel[3] in templateXValue[min] .
As of templateTitleDate[0] , there were estimated to be around templateYValue[max] thousand templateYLabel[2] templateYLabel[3] in the templateTitle[4] . In comparison , only templateYValue[1] templateTitle[2] power templateYLabel[1] were templateTitle[2] templateYLabel[2] templateYLabel[3] in the templateXValue[1] .
The statistic represents templateTitleSubject[0] templateTitle[1] templateTitle[2] templateYLabel[0] between the fiscal templateXLabel[0] of templateXValue[min] and the fiscal templateXLabel[0] of templateXValue[max] . In the fiscal templateXLabel[0] of templateXValue[max] , the multinational templateTitle[1] templateTitle[2] templateYLabel[0] in the templateTitle[4] stood at templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
In templateXValue[max] , the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] amounted to templateYValue[max] . As of December 31 , templateTitleDate[0] , there were templateYValue[max] million templateYLabel[1] templateYLabel[2] registered in .
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] percent 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 templateYLabel[0] of templateYLabel[1] templateYLabel[2] per templateTitle[2] in the templateTitle[3] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , around templateYValue[0] percent of the templateYLabel[1] templateYLabel[2] were living in the templateTitle[6] .
In templateXValue[max] , there were about templateYValue[0] templateYLabel[3] templateYLabel[1] templateYLabel[2] in the templateTitleSubject[0] templateTitleSubject[0] with a templateTitle[2] mother . This is an increase from templateXValue[min] , when there were about templateYValue[min] templateYLabel[3] templateYLabel[1] templateYLabel[2] with a templateTitle[2] mother . templateTitle[2] parenthood The typical family is comprised of two parents and at least one child .
In templateTitleDate[0] , templateXValue[0] had the largest templateTitleSubject[0] population in terms of Italy with almost templateYValue[max] million Italians residing in the South American templateXLabel[0] . The most used in the templateTitleSubject[0] templateTitleSubject[0] was formed in Europe with templateYValue[max] million Italians , up from just under the previous year . A online – additional information Founded in the January 2017 , it has one of the highest templateYLabel[0] almost the world in the world .
This statistic shows the number of templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with forecasts until templateXValue[max] . In templateXValue[6] , Japanese templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was around templateYValue[6] 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] .
The timeline shows the templateYLabel[0] of templateTitle[2] templateYLabel[1] made in the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were a total of templateYValue[min] templateYLabel[2] throughout the templateXLabel[0] templateXValue[max] .
This statistic shows the templateYLabel[0] of internet users in the templateTitleSubject[0] templateTitleSubject[0] who were using templateTitle[0] templateTitle[1] as of January templateTitleDate[0] , sorted templateTitle[7] templateTitle[8] . We Are Flint found that templateYValue[max] percent of internet users aged from 25 to 34 years used the social networking site 's templateTitle[1] platform .
The statistic shows the templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] franchise from the 2001/02 season to the 2018/19 season . In 2018/19 , the estimated templateYLabel[0] of the National Basketball Association franchise amounted to templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
As of templateXValue[0] templateXValue[0] , the anime-focused subscription video-on-demand platform templateTitleSubject[0] had around templateYValue[max] templateYLabel[2] paying templateTitle[2] . Subscription numbers have grown rapidly in recent years , with the company managing to double its templateYLabel[0] of paying templateTitle[2] between templateXValue[1] templateXValue[1] and templateXValue[0] templateXValue[0] . What is templateTitleSubject[0] ? Similar to services like Netflix and Hulu , templateTitleSubject[0] provides templateTitle[2] with on-demand access to shows and video media through either monthly subscriptions or cheaper , ad-supported programming .
This graph shows the templateTitle[0] templateTitle[1] in the federal state of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitle[1] of templateTitleSubject[0] stood at templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] of land area .
As one of the biggest sports leagues in America with TV viewers reaching into the templateYLabel[1] , templateTitleSubject[0] templateTitleSubject[0] templateTitle[2] can afford to pay its players handsomely . The templateTitle[3] templateYLabel[0] for a templateTitle[4] in the MLB stood at templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateXValue[max] . While this represented a small drop on the figure from templateXValue[1] , it still marks an almost twofold increase on the templateTitle[3] templateYLabel[0] in templateXValue[min] .
The statistic above presents the distribution of templateTitle[0] templateTitle[1] templateYLabel[1] in the templateTitle[3] in templateTitleDate[0] , templateTitle[5] templateXLabel[0] . In templateTitleDate[0] , templateXValue[2] templateTitle[0] templateTitle[1] templateYLabel[1] accounted for templateYValue[2] percent of total templateTitle[0] templateYLabel[1] .
This statistic shows the total templateYLabel[0] of templateTitle[2] templateTitle[3] in the templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of templateTitle[2] templateTitle[3] in the templateTitle[4] came to over templateYValue[max] templateYLabel[1] .
This statistic shows the top ten templateYLabel[3] templateTitle[2] templateTitle[3] on templateYLabel[0] templateYLabel[1] of templateTitle[6] in templateTitleDate[0] . That year , the templateYLabel[1] of templateTitle[6] templateYLabel[0] in templateXValue[0] was approximately templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] . templateYLabel[0] templateYLabel[1] templateTitle[2] templateTitle[3] significant templateXLabel[0] templateTitle[6] The Center for Research on the Epidemiology of Disasters released data on the templateYLabel[0] templateYLabel[1] templateTitle[2] templateTitle[3] significant templateXLabel[0] templateTitle[6] as of July 2014 .
In templateXValue[max] , the templateYLabel[0] templateTitle[1] ( FDI ) from the templateTitle[3] to other countries amounted to templateYValue[0] templateYLabel[2] templateYLabel[3] templateYLabel[4] . Foreign templateYLabel[0] templateTitle[1] reflects the ownership of business from templateYValue[17] country in another country . It differs from a traditional templateTitle[1] in companies located templateTitle[4] by the ownership factor in case of FDI .
This graph depicts the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] templateTitleSubject[0] of the National Football League from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] came to around templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] . The templateTitleSubject[0] templateTitleSubject[0] are owned by Jerry Jones who bought the templateYLabel[0] for 150 templateYLabel[2] templateYLabel[3] templateYLabel[4] in 1989 .
In templateXValue[max] , the templateYLabel[0] of templateTitle[2] templateYLabel[1] in templateTitleSubject[0] was expected to reach templateYValue[max] templateYLabel[2] . The spending of templateTitle[2] tourists in templateTitleSubject[0] had increased during this period , reaching an increase of almost eight templateYLabel[2] templateYLabel[3] . This figure was an increase of almost 200 templateYLabel[2] templateYLabel[3] .
The figure Korean K-pop boyband templateTitleSubject[0] , also known as the Bangtan Boys templateYLabel[1] around templateYValue[max] templateYLabel[3] templateYLabel[4] of their templateYLabel[2] up until templateXValue[max] . The boyband is known as the biggest boyband in templateTitleSubject[1] templateTitleSubject[1] and has fans all over the globe . The templateTitleSubject[0] phenomenon templateTitleSubject[0] , also known as ‘ Bangtan Boys ' ( or Bangtan Sonyeondan in Korean ) , formed in 2010 and had their debut in templateXValue[min] .
The statistic presents the templateYLabel[0] of templateTitle[2] templateYLabel[1] templateYLabel[2] templateYLabel[3] in the templateTitle[0] in templateTitleDate[0] , templateTitle[5] templateXLabel[0] . In that year , templateYValue[1] percent of templateXValue[1] drank templateTitle[2] templateTitle[3] every week in the United States.Craft templateTitle[3] in the United StatesCraft templateTitle[3] is paving the way for a new crop of templateTitle[3] makers ! While the 1990 's and early 2000 's saw a big rise in brew pubs , the trend today leans more toward microbreweries that aim to distribute their product . Over the last couple of years , the number of new brewery openings has been at near unprecedented levels ; the highest total since the 1880 's .
This statistic shows the templateTitle[3] templateYLabel[0] of the templateTitleSubject[0] templateTitle[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the total templateYLabel[0] of the templateTitleSubject[0] templateTitle[2] was around templateYValue[0] templateYLabel[1] templateYLabel[2] . This figure is a significant decrease from templateXValue[1] , when the templateYLabel[0] of templateTitle[4] produced in the templateTitleSubject[0] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in the templateTitle[5] in templateTitleDate[0] . In templateTitleDate[0] , templateXValue[0] ranked 1st among the templateTitle[1] templateTitle[2] templateXLabel[0] in the world with templateYLabel[0] amounting to approximately 6.96 templateYLabel[1] Swiss Francs . In 2015 , templateXValue[2] was by far the most valuable Swiss templateTitle[2] brand .
This statistic shows the development of templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was around templateYValue[0] templateYLabel[2] templateYLabel[3] . This figure is a significant increase from templateXValue[1] , when the templateYLabel[0] generated about templateYValue[min] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This statistic displays the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateTitleDate[0] to templateTitleDate[1] . In templateTitleDate[1] , templateYLabel[0] in templateTitleSubject[0] was templateYValue[0] percent .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateYLabel[2] templateYLabel[3] templateYLabel[4] for templateTitle[3] in the country of America from templateTitleDate[0] to templateTitleDate[1] . In templateTitleDate[1] , the templateYLabel[0] change of the PPI amounted to templateYValue[0] percent . The PPI for templateTitle[3] stood at 199.8 in templateTitleDate[1] .
This graph depicts the annual National Hockey League templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] from the templateXValue[last] season to the templateXValue[0] season . The templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] amounted to templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] in the templateXValue[0] season .
In templateTitleDate[0] , templateXValue[0] had the largest templateTitleSubject[0] population in terms of Italy with almost templateYValue[max] million Italians residing in the South American templateXLabel[0] . The most used in the templateTitleSubject[0] templateTitleSubject[0] was formed in Europe with templateYValue[max] million Italians , it is just over the world with the highest templateYLabel[0] . In comparison , the European Union : come of templateXValue[last] , Mount Boy ' _ , it has templateYValue[min] of the world 's population in the world .
British online ( templateTitleSubject[0] ) templateTitleSubject[0] generated 24.08 templateYLabel[1] British pounds in templateXValue[max] , slightly up on the templateXLabel[0] prior , and 6.2 templateYLabel[1] British pounds higher than the low of 17.84 templateYLabel[1] British pounds recorded in the previous templateXLabel[0] . templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] is an Japanese based in the United Kingdom .
This statistic shows the templateYLabel[0] of the templateTitle[1] of templateTitle[2] templateTitle[3] in templateTitleDate[0] , sorted templateTitle[5] templateXLabel[0] . In that year , templateXValue[0] was the largest producer of templateTitle[1] templateTitleSubject[0] in the world with an templateYLabel[0] of about templateYValue[max] templateYLabel[1] templateYLabel[2] .
As of templateXValue[max] , the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitleSubject[0] templateTitleSubject[0] was templateYValue[max] . This figure is an increase from templateYValue[min] templateYLabel[2] the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitleSubject[1] . As of May 1 , templateTitleDate[0] , there were templateYValue[min] templateTitle[2] templateTitle[3] templateYLabel[1] templateYLabel[2] in the templateTitleSubject[0] .
This statistic depicts the total templateYLabel[0] of templateTitle[1] templateTitle[2] templateTitle[3] in the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were around templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] of templateTitle[1] 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[0] percent .
The timeline shows the templateYLabel[0] templateYLabel[1] of templateTitle[0] templateTitleSubject[0] templateTitle[2] templateYLabel[3] from templateXValue[min] to templateXValue[max] . In the 52 weeks ended on September 1 , templateXValue[max] , the templateYLabel[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] amounted to templateYValue[0] percent .
A survey of them ! '' most of us would probably say that asked what our templateTitle[2] templateTitle[3] is , but when given a choice , templateTitleSubject[0] favor templateXValue[0] over templateXValue[1] and templateXValue[1] . templateXValue[0] is a civil templateTitle[3] in the country , and most templateTitleSubject[0] celebrate it regardless of their religious affiliation . Shopping templateTitle[3] templateXValue[0] is an immense economic stimulus as well , and templateTitleSubject[0] are quite generous when it comes to spending money on templateXValue[0] gifts for their loved ones .
This statistic shows the number of templateTitle[0] templateTitle[2] by templateTitle[1] in templateTitleSubject[0] and templateTitleSubject[1] from templateXValue[last] to templateXValue[0] . During this period , the number of templateTitle[0] templateTitle[2] by templateTitle[1] fluctuated , peaking in templateXValue[2] at templateYValue[max] templateTitle[2] . By templateXValue[0] it fell down to templateYValue[0] templateTitle[2] .
The statistic represents the templateYLabel[0] of templateYLabel[1] templateTitle[2] templateTitle[3] templateTitle[4] of templateTitle[5] templateTitle[6] in templateTitle[7] templateTitle[8] in the templateTitle[9] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , the templateYLabel[0] of templateYLabel[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitleSubject[0] amounted to templateYValue[max] templateYLabel[2] templateYLabel[3] .
The statistics depicts the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] franchise of the National Hockey League from 2005/06 to templateTitle[7] . In the 2005/06 season , the templateYLabel[0] templateYLabel[1] at the games was at templateYValue[0] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This statistic shows the monthly amount of cars templateYLabel[1] by templateTitleSubject[0] in the templateTitleSubject[1] templateTitleSubject[1] ( templateTitleSubject[2] ) between July templateTitleDate[0] and December templateTitleDate[1] . Peaks in registration numbers were recorded in March and September of each year , which was due to the issuing of license plates by the Driver & Vehicle Licensing Agency ( DVLA ) in those months . In December templateTitleDate[1] , templateYValue[0] new templateTitleSubject[0] cars had been templateYLabel[1] .
This statistic shows the templateYLabel[0] of templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . The templateYLabel[0] of templateYLabel[1] in templateTitleSubject[0] in templateXValue[max] was templateYValue[max] templateYLabel[1] . As of templateXValue[max] , there were templateYValue[max] templateYLabel[1] which was relatively high considering the whole 10-year period .
Between templateXValue[min] and templateXValue[max] , the templateYLabel[0] wage in templateTitleSubject[0] was stable , remaining between templateYValue[4] thousand and templateYValue[0] thousand templateYLabel[3] . In templateXValue[max] , male managers represented the group of people with the highest earnings . Their gross salary amounted to 102 thousand templateYLabel[3] a templateXLabel[0] .
The graph shows the 20 templateTitleSubject[0] templateTitle[1] templateTitle[2] in the templateTitle[3] according to the Global Peace templateYLabel[0] 2018 . According to the Global Peace templateYLabel[0] templateTitleDate[0] , templateXValue[0] was the templateTitleSubject[0] templateTitle[1] templateXLabel[0] in the templateTitle[3] with an templateYLabel[0] of templateYValue[max] templateYLabel[1] templateTitle[4] as of templateTitleDate[0] .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was around templateYValue[0] percent . Economy and employment in templateTitleSubject[0] Since reaching a decade low in templateXValue[12] , templateYLabel[0] in templateTitleSubject[0] has experienced considerable surges , most notably after templateXValue[8] .
The templateTitleSubject[0] templateTitleSubject[0] is home to some templateYValue[max] templateYLabel[2] passenger templateYLabel[1] . After slowly increasing over the past years , figures reached their peak in templateXValue[max] , with templateTitleSubject[1] roads busier than ever before . The only noticeable decline – apart from templateXValue[4] when the source changed – was seen in templateXValue[9] during the recession .
templateTitle[2] templateYLabel[1] at templateTitle[3] establishments in templateTitleSubject[0] have been steadily rising each templateXLabel[0] since the start of the decade . In templateXValue[max] , a record templateYValue[max] templateYLabel[2] tourists ( including residents and non-residents ) arrived at templateTitle[3] in templateTitleSubject[0] . Tourism in templateTitleSubject[0] In line with trends across Europe , tourism in templateTitleSubject[0] has experienced a boost in the last ten years .
This statistic displays the templateTitle[7] distribution of templateTitle[1] at templateTitleSubject[0] in the templateTitleSubject[1] templateTitleSubject[1] as of templateTitleDate[0] . According to their annual report , templateYValue[max] percent of templateTitleSubject[0] templateTitle[1] are in the templateTitle[7] templateTitle[8] 45 - 54 . templateTitleSubject[0] is a British retailer selling clothing , furniture and other household items in a department store format .
The statistic shows the templateYLabel[0] of templateTitleSubject[0] from templateXValue[min] to templateXValue[6] in templateTitle[3] to the templateTitle[4] templateTitle[5] templateTitle[6] ( templateYLabel[2] ) , with projections up until templateXValue[max] . In templateXValue[6] , templateTitleSubject[0] 's templateYLabel[0] templateYLabel[1] amounted to about templateYValue[6] percent of the country 's templateTitle[4] templateTitle[5] .
This statistic shows the results of a survey , conducted by Gallup in the templateTitle[7] in May templateTitleDate[0] , on templateTitle[2] templateTitle[3] templateTitle[4] gay and lesbian templateTitle[6] . During this survey , templateYValue[max] percent of the templateYLabel[1] were in favor of templateTitle[2] templateTitle[3] templateTitle[4] gay and lesbian templateTitle[6] in the templateTitle[7] .
How many people play templateTitleSubject[0] ? Having burst onto the scene in templateXValue[4] , templateTitleSubject[0] has since become a templateTitle[4] phenomenon , amassing almost templateYValue[max] templateYLabel[2] templateYLabel[1] across the globe as of templateXValue[0] templateXValue[0] . How did templateTitleSubject[0] become so big ? The reasons why templateTitleSubject[0] has become such a global hit are clear to see . Not only is the game free , but it is also available on most gaming platforms .
In the fall semester templateXValue[max] , templateYValue[0] templateYLabel[1] were templateTitle[1] in universities and other higher education institutions in templateTitleSubject[0] . Since 2000 , the templateYLabel[0] of individuals in templateTitleSubject[0] with an upper secondary education increased , while the individuals without decreased . In templateXValue[max] , 21.7 percent of the female population had an upper secondary education degree of three years and 24.9 percent of the male population .
As of templateXValue[max] it is estimated that there is approximately templateYValue[max] thousand people for templateTitleSubject[0] templateTitle[1] globally . In fact , the templateYLabel[0] of templateTitleSubject[0] templateYLabel[1] increased from templateYValue[min] thousand templateYLabel[1] in the previous templateXLabel[0] .
In January templateTitleDate[0] , the templateYLabel[0] of the European Kingdom templateTitleSubject[0] templateTitleSubject[0] was around templateYValue[max] templateYLabel[1] templateYLabel[2] , respectively was a slight increase of pharmaceutical templateYLabel[2] . There were large differences between the Dutch provinces and motorcycles which is a grade of templateTitle[4] in templateTitleSubject[0] . The templateTitleSubject[1] HPI uses a hedonic regression methodology to calculate it 's HPI .
This statistic shows the global templateYLabel[0] templateYLabel[1] of different regions between templateTitleDate[0] and templateTitleDate[1] . During that time , templateXValue[0] is templateTitleSubject[0] to have a net templateYLabel[0] surplus of templateYValue[max] templateYLabel[2] people .
This statistic shows the gross domestic product ( templateYLabel[0] ) of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] 's templateYLabel[0] was 730.27 templateYLabel[1] templateYLabel[2] templateXValue[6] templateYLabel[4] templateYLabel[5] .
A survey conducted in templateTitleDate[0] reveals that most Italians templateXValue[6] their templateTitle[0] templateTitle[1] templateTitle[2] templateXValue[1] the templateTitle[6] of templateXValue[2] and templateXValue[2] . More specifically , about templateYValue[max] percent of people declared they templateXValue[6] templateXValue[6] for the templateTitle[0] time in that templateTitle[6] range . Approximately templateYValue[3] percent of young adults templateXValue[6] their templateTitle[0] templateTitle[1] templateTitle[2] in their early 20s .
The statistic shows templateTitleSubject[0] templateTitle[4] players with the most templateYLabel[0] templateYLabel[1] in franchise history . templateXValue[0] templateXValue[0] is the templateTitle[0] templateTitle[1] leader of the templateTitleSubject[0] templateTitle[4] with templateYValue[max] templateYLabel[0] .
In templateTitleDate[0] , the movie with the most Oscar templateYLabel[1] was 'Joker ' _ , with templateYValue[max] in total . 'Joker ' was directed templateTitle[4] Todd Philips , whose work includes movies within 'The Hangover ' franchise , 'Due Date ' _ , and 'War Dogs ' _ . Philips also produced major hit ' A Star is Born ' _ .
This statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] Gross Domestic Product of templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] of templateTitleSubject[0] templateTitleSubject[0] stood at templateYValue[max] templateYLabel[4] templateXValue[6] templateYLabel[6] templateYLabel[7] .
This statistic shows the templateYLabel[0] of templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[1] in the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[2] , templateTitle[2] had templateYValue[min] templateYLabel[2] templateYLabel[3] of templateTitle[1] . In templateXValue[max] , this templateYLabel[0] is projected to reach around templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
In templateTitleDate[0] , hip-hop and rap templateTitle[0] accounted for templateYValue[max] percent of total templateTitle[0] templateYLabel[1] in the templateTitle[3] , more than double the percentage of R templateXValue[8] B templateTitle[0] sales . Other highly popular genres included templateXValue[1] and templateXValue[2] templateTitle[0] , whereas just templateYValue[10] percent of all templateTitle[0] sold in the templateTitleSubject[0] in templateTitleDate[0] was templateXValue[10] . Why are some genres more popular than others ? Whilst templateTitle[0] is a highly subjective medium in terms of the listener 's taste and preferences , the top genres in terms of templateYLabel[1] tend not to fluctuate heavily .
This statistic shows the templateTitle[0] of templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in the templateTitleSubject[0] templateTitleSubject[0] ( templateTitleSubject[1] ) in templateTitleDate[0] , ranked templateTitle[9] templateYLabel[0] templateYLabel[1] . templateXValue[0] ranked highest , with templateTitle[3] templateTitle[4] valuing approximately templateYValue[min] templateYLabel[2] . The highest templateYLabel[0] templateYLabel[1] of templateTitle[3] templateTitle[4] in the templateTitleSubject[0] templateTitleSubject[0] was noticeably templateYLabel[2] .
The statistic shows the templateTitleSubject[0] of the templateYLabel[0] templateYLabel[1] since the birth of Christ . templateYValue[max] templateYLabel[2] people were living on earth in templateXValue[max] . Additional information on templateYLabel[0] templateYLabel[1] The global templateYLabel[1] has risen dramatically in the last 100 years from templateYValue[3] templateYLabel[2] in templateXValue[min] to surpassing templateYValue[max] templateYLabel[2] in 2011 .
This statistic show the templateYLabel[1] templateTitle[2] templateTitle[3] templateYLabel[2] between templateXValue[min] and templateXValue[max] .
The statistic depicts the templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] , a franchise of the National Football League , from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] was templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
The best-selling templateXLabel[0] in templateTitleDate[0] was `` templateXValue[0] Hunter : templateXValue[0] '' for PS4 which templateYLabel[1] nearly templateYValue[max] templateYLabel[2] templateYLabel[0] in templateTitleSubject[0] . When it comes to hardware sales , it was found that templateTitleDate[0] was the year of the Nintendo Switch . That year , Nintendo templateYLabel[1] more than 3.48 templateYLabel[2] templateYLabel[0] of the templateTitle[1] in templateTitleSubject[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[1] percent templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic shows the templateYLabel[0] of templateYValue[max] templateYLabel[2] templateYLabel[3] of templateTitle[2] in templateTitle[3] templateTitle[4] in selected countries in templateTitleDate[0] . The templateXValue[0] templateXValue[0] ( UK ) had a total of templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateTitle[2] as of January templateTitleDate[0] .
The timeline shows templateTitleSubject[0] 's templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[0] templateYLabel[1] from the fiscal templateXLabel[0] of templateXValue[min] to the fiscal templateXLabel[0] of templateXValue[max] . In the fiscal templateXLabel[0] of templateXValue[max] , the Germany-based multinational engineering and electronics company incurred approximately templateYValue[0] templateYLabel[2] templateYLabel[3] templateYLabel[4] ( or about 6.8 templateYLabel[2] U.S. dollars ) in templateTitle[1] templateTitle[2] templateYLabel[0] .
As of templateXValue[max] , the templateYLabel[0] of official templateYLabel[1] templateTitle[2] reached approximately templateYValue[min] thousand templateYLabel[2] . As of the most recently surveyed , the templateYLabel[0] of smartphones reached over templateYValue[min] thousand templateYLabel[4] templateYLabel[5] . templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] ( KFC ) is a US-American fast food chain headquartered in Louisville , United Kingdom .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] templateTitle[3] parent families with a female householder and no spouse present in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[28] percent of all templateTitleSubject[0] families with a templateTitle[3] mother in the templateTitle[5] lived below the templateYLabel[0] level . In templateXValue[max] , that figure was at templateYValue[min] percent .
As of the company 's templateXValue[max] fiscal templateXLabel[0] , the templateTitleSubject[0] templateTitleSubject[0] employed over templateYValue[min] thousand people around the world . templateTitleSubject[0] has consistently decreased its total employment since around templateXValue[11] when it reported over 180 thousand workers . This templateXValue[max] total represents the company 's lowest employment figure in recent history .
templateXValue[0] was the leading templateTitle[1] templateTitle[2] templateXLabel[0] website in templateTitleSubject[0] as of October templateTitleDate[0] . During that time , it was estimated that over templateYValue[max] templateYLabel[2] templateYLabel[3] users were templateTitle[2] users who were internet users in templateTitleSubject[0] .
As of the most recent templateTitleDate[0] , the templateTitle[2] movie 's templateXValue[0] ( templateTitle[1] ) was templateXValue[0] templateXValue[0] for the PS4 , before templateXValue[1] and templateXValue[2] templateXValue[2] . At that time , templateXValue[0] templateXValue[0] had a total of templateYValue[max] million templateYLabel[1] . Unsurprisingly , the two nations account for over two-thirds of the previous year .
This statistic shows the templateTitleSubject[0] templateYLabel[0] of the templateTitle[3] of the USA in templateTitleDate[0] , templateTitle[5] templateXLabel[0] of residence . The templateXLabel[0] with the highest templateTitleSubject[0] templateYLabel[0] of its templateTitle[3] was templateXValue[19] at templateYValue[max] templateYLabel[1] . templateXValue[45] had the lowest templateTitleSubject[0] templateYLabel[0] ( templateYValue[min] templateYLabel[1] ) .
This timeline shows the projected year-on-year templateTitle[0] templateYLabel[0] of templateYLabel[1] in the templateTitleSubject[0] templateTitleSubject[0] ( templateTitleSubject[1] ) from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the total templateYLabel[0] of templateYLabel[1] to the templateTitleSubject[0] templateTitleSubject[0] amounted to templateYValue[min] templateYLabel[2] .
templateTitleSubject[0] templateTitleSubject[0] 's templateYLabel[0] templateYLabel[1] dropped by some eight percent to about templateYValue[min] templateYLabel[2] templateYLabel[3] in templateXValue[max] . Severance charges amounted to about 0.52 templateYLabel[3] per share in templateXValue[max] . Another difficult templateXLabel[0] for stockholders After a string of spin-offs and mergers , stock owners suffered a decline in templateYLabel[0] templateYLabel[1] attributable to shareholders of the world 's fourth largest conglomerate company : This figure came to around 5.17 templateYLabel[2] templateYLabel[3] in templateXValue[max] , compared with 5.8 templateYLabel[2] templateYLabel[3] in templateXValue[1] .
This statistic shows the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to about templateYValue[1] percent templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic shows the templateTitle[2] templateTitle[3] of templateTitleSubject[0] regarding templateTitle[5] or templateTitle[6] templateTitle[7] in templateTitleDate[0] . During this survey , templateYValue[max] percent of templateYLabel[1] stated they think templateTitle[5] or templateTitle[6] templateTitle[7] are templateXValue[0] templateXValue[0] , while templateYValue[min] percent said it templateXValue[2] on the situation .
This statistic shows the top ten templateTitle[0] producing templateTitle[1] templateTitle[2] templateTitle[3] in templateTitleDate[0] . In that year , templateXValue[0] was the biggest producer of templateTitle[1] templateTitle[4] , templateTitle[2] approximately templateYValue[max] million templateYLabel[1] templateYLabel[2] of templateTitle[6] .
The graph shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) in templateTitleSubject[0] from templateXValue[min] to templateXValue[7] , with projections up until templateXValue[max] . templateTitle[3] 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 depicts the templateYLabel[0] of templateTitle[1] templateYLabel[1] in templateTitleSubject[0] as of March templateTitleDate[0] , ordered templateTitle[5] templateXValue[last] templateXLabel[1] . At that time , there were templateYValue[2] templateXValue[2] templateTitle[1] in templateTitleSubject[0] . There are approximately 21,400 templateXValue[last] templateYLabel[1] templateTitle[1] in the state .
This statistic illustrates the templateYLabel[0] of global templateYLabel[1] working in templateTitleSubject[0] as of January templateTitleDate[0] , templateTitle[5] templateXLabel[0] . During that month , the templateXValue[0] templateXValue[0] accounted for templateYValue[max] templateYLabel[1] in templateTitleSubject[0] templateTitle[1] worldwide .
As of December templateTitleDate[0] , templateXValue[0] templateXValue[0] is the templateTitle[8] templateTitle[9] leader in templateYLabel[0] of templateYLabel[1] for the templateTitle[1] templateTitle[2] team of templateTitleSubject[0] templateTitle[4] a total of templateYValue[max] templateYLabel[0] templateYLabel[1] , followed by templateXValue[1] templateXValue[1] templateTitle[4] templateYValue[1] templateYLabel[0] . templateTitleSubject[0] 3rd at World Cup 2018 Even though there was some political controversial about the world . templateXValue[1] on the company had a lifetime part of the 400 century .
This statistic displays the templateYLabel[0] of the templateYLabel[2] templateYLabel[3] templateTitle[2] templateTitle[3] in the United Kingdom ( templateTitleSubject[0] ) in templateTitle[6] , split templateTitle[7] templateXLabel[0] . In this year , templateXValue[0] had the highest proportion of templateTitle[1] templateTitle[2] in the EU with templateYValue[max] percent .
The statistics shows the templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[1] 's templateTitle[3] templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitleSubject[0] children generated a total templateTitle[2] templateYLabel[0] of templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] . Up until templateXValue[1] , the templateTitleSubject[0] based company operated 307 clubs .
This statistic shows the templateYLabel[0] volume of templateTitle[2] at templateTitle[3] in the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[last] to templateXValue[0] . In templateXValue[0] , templateYLabel[0] of templateTitle[2] templateTitle[3] in the templateTitle[4] came to templateYValue[0] templateYLabel[2] templateYLabel[3] .
How many ( templateTitleSubject[0] ) templateTitleSubject[0] generated 24.08 templateYLabel[1] British pounds in templateXValue[max] , slightly up on the templateXLabel[0] prior , and 6.2 templateYLabel[1] British pounds higher than the low of 17.84 templateYLabel[1] British pounds recorded in templateXValue[4] . templateTitleSubject[0] templateTitleSubject[0] templateYLabel[0] mix templateTitleSubject[0] templateTitleSubject[0] have had to respond to the impact of the changing telecommunications landscape on their templateYLabel[0] streams . The volume of calls made in the United Kingdom ( UK ) has more than halved since the beginning of templateXValue[7] , affecting templateYLabel[0] , and templateYLabel[0] streams such as business network access have also decreased .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateTitle[2] templateTitle[3] templateTitle[4] templateYLabel[2] in the templateTitle[6] , templateTitle[7] templateXLabel[0] . In templateTitleDate[0] , there were templateYValue[5] templateYLabel[1] templateTitle[2] templateYLabel[2] templateTitle[3] templateTitle[4] templateYLabel[2] in the templateTitle[6] .
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[min] percent .
In templateXValue[max] , the German drug store chain Rossman opened their store templateYLabel[0] four thousand . For the past ten years the templateYLabel[0] of templateTitleSubject[0] templateYLabel[1] in templateTitleSubject[1] have seen a continuous growth . In templateXValue[max] , their numbers reached templateYValue[max] templateYLabel[1] .
This statistic shows the templateTitle[3] templateYLabel[0] templateYLabel[1] ( as of the end of each templateXLabel[0] ) of the templateTitle[0] to the templateTitleSubject[0] templateTitle[2] ( EUR/RUB ) , according to data from the European Central Bank , from January templateTitleDate[0] to January templateTitleDate[1] . The concrete , or point in time , measure shows the templateYLabel[0] templateYLabel[1] as of the last day of each templateXLabel[0] , which is different to the standardized measure ; calculation of average based on observations throughout the period in question.Monthly change After seeing a height of templateYValue[max] rubles to the templateTitle[0] in February 2016 , the templateTitle[3] templateYLabel[0] templateYLabel[1] has fluctuated . Between December 2018 and January templateTitleDate[1] , the end of templateXLabel[0] templateYLabel[0] templateYLabel[1] between the templateTitle[0] and templateTitleSubject[0] templateTitle[2] has seen a downward trend .
In templateTitleDate[0] , templateXValue[0] was the city with the highest templateYLabel[0] of with a templateTitle[2] templateTitle[4] in the United Kingdom in the world . This was followed templateTitle[6] the templateTitle[2] templateTitle[3] templateTitle[4] in the world with a templateYLabel[0] templateYLabel[1] of templateYValue[max] templateYLabel[2] templateYLabel[3] . This was followed templateTitle[3] templateTitle[4] ? The Global templateYLabel[1] of templateYLabel[2] over the world .
In the fourth templateXLabel[0] of templateTitleDate[1] , revenues of AWS grew templateYValue[min] percent compared to the preceding templateXLabel[0] . AWS is one of templateTitleSubject[0] 's strongest revenue segments , generating 25.66 billion U.S. dollars in 2018 net sales , up from 17.46 billion U.S. dollars in 2017 . AWS ranks as one of the most popular public cloud infrastructure and platform templateTitleSubject[0] running applications worldwide in 2018 , ahead off Azure and Google cloud templateTitleSubject[0] .
This statistic provides information on the templateYLabel[0] of templateTitleSubject[0] templateYLabel[1] templateTitle[2] in templateTitleDate[0] , templateTitle[4] templateXLabel[0] . According to the source , the templateXValue[0] templateXValue[0] account for over 20 percent of templateTitleSubject[0] 's traffic templateTitle[2] .
The statistic above presents the templateYLabel[0] templateYLabel[1] of the templateTitle[2] templateTitle[3] templateTitle[4] in the templateTitle[5] in templateTitleDate[0] . In that year , templateXValue[2] of the templateYLabel[0] templateYLabel[1] of trade goods from templateXValue[2] amounted to templateYValue[2] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] templateTitle[3] templateTitle[4] in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[0] percent of templateTitleSubject[0] templateTitle[3] templateTitle[4] were living below the templateYLabel[0] line in the templateTitle[5] . templateYLabel[0] is the state of one who lacks a certain amount of material possessions or money .
This statistic shows the degree of templateTitle[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . templateTitle[0] is defined as the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateYLabel[3] templateYLabel[2] . In templateXValue[max] , templateYValue[max] percent of the templateYLabel[3] templateYLabel[2] of templateTitleSubject[0] lived in templateYLabel[1] areas .
Between templateXValue[min] and templateXValue[max] the templateYLabel[0] of templateYLabel[1] in templateTitleSubject[0] fluctuated between a high of templateYValue[max] million templateYLabel[1] in templateXValue[max] , the previous templateXLabel[0] . From templateXValue[min] to templateXValue[11] the templateTitle[2] templateTitle[3] in the templateTitleSubject[0] templateTitleSubject[0] declined steadily , after reaching a high of templateYValue[max] . Under two children templateYLabel[2] mother The crude templateYLabel[0] templateTitle[2] in the templateTitleSubject[0] templateTitleSubject[0] is based on the 755 thousand templateYLabel[1] that occurred in templateXValue[max] , and the mid-year templateYLabel[4] estimate of 66 templateYLabel[3] for the templateTitleSubject[0] templateTitleSubject[0] .
The statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[2] templateTitle[3] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[5] , the templateTitle[2] templateTitle[3] templateTitle[4] grew by an estimated templateYValue[max] percent compared to the previous sales templateXLabel[0] . templateTitle[2] templateTitle[3] templateTitle[4] Since the early twentieth century , the production of templateTitle[3] has been controlled by a handful of multi-national corporations .
The statistic shows the templateYLabel[0] of templateYLabel[1] templateTitle[2] in the templateTitle[3] from templateXValue[last] to templateXValue[1] and a forecast for templateXValue[0] . The term templateTitle[1] templateTitle[2] has increased during this survey period , templateYValue[max] percent of templateYLabel[2] people in the previous templateXLabel[0] .
As of templateTitleDate[0] , the templateTitle[1] templateTitle[2] templateTitle[3] according to templateTitle[1] shoppers worldwide as of October templateTitleDate[0] . During the survey period , templateYValue[0] percent of responding templateTitleSubject[0] users in the templateTitle[0] were templateXValue[0] templateXValue[0] templateTitle[3] the templateTitle[5] templateTitle[6] of the online company .
In this templateTitleDate[0] survey , templateYValue[1] percent of templateYLabel[1] stated they think the biggest problem for the templateTitle[2] today is templateXValue[2] templateXValue[2] . In fact , most of the important templateTitle[1] mentioned are somehow related to the current POTUS – the most mentioned one being templateXValue[0] and templateXValue[1] . A templateXValue[3] divided Since templateXValue[2] 's inauguration in January 2017 , political camps in the templateTitleSubject[0] are deeply divided and templateXValue[13] templateTitle[3] is in turmoil ; templateXValue[2] 's job approval ratings are notoriously low , and in fact , they are lower than Reagan 's or Nixon 's averages ever were .
This statistic illustrates the templateTitle[0] templateYLabel[0] of templateTitle[2] and templateTitle[3] templateTitle[4] for the United Kingdom ( templateTitleSubject[0] ) from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the company 's templateYLabel[0] of templateTitle[2] templateTitleSubject[0] templateTitle[4] was templateYValue[0] templateYLabel[1] templateYLabel[2] . Recently , worldwide templateYLabel[0] of templateTitle[2] templateTitle[3] templateTitle[4] in the United Kingdom was templateYValue[4] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
The statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] in templateTitle[3] to the templateTitle[4] templateTitle[5] templateTitle[6] ( templateYLabel[2] ) , with projections up until templateXValue[max] . In templateXValue[6] , the state deficit of templateTitleSubject[0] amounted to about 6.4 percent of templateTitle[4] templateTitle[5] templateTitle[6] . See templateYLabel[2] of templateTitleSubject[0] for additional information .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] templateTitleSubject[0] franchise of the National Basketball Association from templateXValue[last] to templateXValue[0] . In templateXValue[0] , the templateYLabel[0] had an estimated templateYLabel[1] of templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
In templateTitleDate[0] , the templateYLabel[0] of templateTitleSubject[0] templateTitle[2] A templateYLabel[1] in the templateTitle[4] . In templateTitleDate[0] , there were approximately templateYValue[max] templateYLabel[2] templateYLabel[0] , which was roughly double the templateXLabel[0] before . As of the templateTitleSubject[0] templateTitle[2] templateXLabel[0] can be accessed here , when around templateYValue[max] templateYLabel[2] templateYLabel[0] templateYLabel[1] .
A All of them ! '' most of us would probably say that asked what our templateTitle[2] templateTitle[3] is , but when given a choice , templateTitleSubject[0] favor templateXValue[0] over templateXValue[1] and templateXValue[1] . templateXValue[0] is a civil templateTitle[3] in the country , and most templateTitleSubject[0] celebrate it regardless of their religious affiliation . Shopping templateTitle[3] templateXValue[0] is an immense economic stimulus as well , and templateTitleSubject[0] are quite generous when it comes to spending money on templateXValue[0] gifts for their loved ones .
The statistic shows the templateYLabel[0] of templateTitleSubject[0] templateTitleSubject[0] templateYLabel[1] in the templateTitle[4] as of templateTitleDate[0] , in templateYLabel[2] templateYLabel[3] . In the last reported period , the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] templateTitleSubject[0] was about templateYValue[0] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This statistic shows the templateYLabel[0] of templateYLabel[1] in the templateTitleSubject[0] templateTitle[3] templateTitle[4] templateTitle[5] as of templateTitleSubject[0] templateTitle[7] . According to this survey , templateYValue[max] percent of templateYLabel[1] stated that they used the highest proportion of their templateTitle[6] in the templateTitle[2] and templateTitle[3] retailers , more than 40 percent of the templateYLabel[1] in templateTitleDate[0] .
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[min] templateYLabel[3] in templateXValue[max] .
This statistic shows the templateYLabel[0] of templateTitleSubject[0] templateTitle[1] in templateTitle[2] templateTitle[3] and templateTitle[4] templateTitle[5] in templateTitleDate[0] . During the survey , templateYValue[max] percent of templateYLabel[1] said that they used templateXValue[0] to templateXValue[0] .
The statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] templateYLabel[2] in the templateTitleSubject[0] was at templateYValue[0] percent .
In templateXValue[max] , the templateYLabel[1] templateYLabel[2] of hospitals in the templateTitleSubject[0] stood at templateYValue[0] percent . This was a cornerstone of health services in any country and also contribute considerably to the economy . Nevertheless , the number of hospitals in the templateTitleSubject[0] has decreased in recent years .
The templateYLabel[0] of templateYLabel[1] in templateTitleSubject[0] peaked in templateXValue[max] , when almost templateYValue[max] thousand couples got divorced . Since then the divorce templateYLabel[0] decreased until templateXValue[max] , when it again increased and amounted to almost templateYValue[0] thousand templateYLabel[1] . A similar trend can be seen in the neighbor country Norway , where the templateYLabel[0] of templateYLabel[1] decreased for several years but increased again in templateXValue[1] .
The templateTitleSubject[0] templateTitleSubject[0] of templateTitleSubject[0] ( RBS ) is part of The templateTitleSubject[0] templateTitleSubject[0] of templateTitleSubject[0] Group plc with Natwest and Ulster templateTitleSubject[0] and consists of 67 thousand employees over 187 branches across the United Kingdom . As of templateXValue[max] , RBS had over templateYValue[max] templateYLabel[2] euros in templateYLabel[1] , the fourth highest in the United Kingdom . History of RBS Founded in Edinburgh in 1727 , the templateTitleSubject[0] templateTitleSubject[0] of templateTitleSubject[0] is an amalgamation of hundreds of past banks .
The graph shows the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateYLabel[2] templateTitle[4] templateTitle[5] in the middle of templateTitleDate[0] . The templateYLabel[0] templateYLabel[1] of templateTitle[2] templateYLabel[2] in templateXValue[0] was templateYValue[max] percent in the middle of 2014.The templateYLabel[0] templateYLabel[1] of templateTitle[2] templateYLabel[2] arises from the birth templateYLabel[1] minus the death templateYLabel[1] and without including the effects of migration.Population growthAs shown in the statistic above , the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateYLabel[2] continues to increase on almost every templateTitle[5] in 2013.Due to medical advances , better living conditions and the increase of agricultural productivity the world templateTitle[2] is continuously rising . The development of the world templateTitle[2] from 1950 to 2030 is estimated to be tripled according to United Nations ' data.The majority of the world templateTitle[2] lives in templateXValue[4] , but the templateTitle[2] in templateXValue[0] is forecasted to rise from 1,031 in year .
In templateTitleDate[0] , templateXValue[0] was the city with the highest templateYLabel[0] of tourists staying at least templateYValue[8] night templateYLabel[2] capita . That same year , international overnight visitor spending in templateXValue[0] reached 28.5 billion US dollars . The city , which is the largest and most populous city in the United Arab Emirates , was also templateYValue[8] of the most expensive holiday destinations in the world in 2018 .
During the year templateTitleDate[0] , the total templateTitle[3] exports templateTitle[4] templateTitleSubject[0] to the templateXValue[0] templateXValue[0] amounted to about templateYValue[max] templateYLabel[2] of 75 cl . templateYLabel[1] . The UK is the first templateTitle[1] market for French templateTitle[3] .
Since templateXValue[min] , the annual templateYLabel[0] for templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[1] in the templateTitleSubject[0] templateTitleSubject[0] amounted to templateYValue[max] templateYLabel[2] templateYLabel[3] . This represented a significant increase of about 0.55 templateYLabel[2] templateYLabel[3] between templateXValue[min] and templateXValue[max] . The share of templateTitle[4] has become one of the most prominent political industry .
templateTitle[3] templateTitle[4] at templateTitle[5] templateTitle[6] had an average waiting time of 10 minutes . templateYValue[max] percent of templateYLabel[1] from a templateTitleDate[0] survey reported queuing approximately templateYValue[min] - 5 minutes . Only templateYValue[min] percent of templateYLabel[1] stated that they had to templateTitle[1] more than 30 minutes before being able to continue to their gate .
As of templateTitleDate[0] , the states with the highest rates of templateTitle[0] included templateXValue[1] templateXValue[1] , templateXValue[1] templateXValue[2] , templateXValue[3] , and templateXValue[4] . As of that time , there were around templateYValue[1] templateYLabel[1] templateYLabel[2] 1,000 templateYLabel[4] in the templateXLabel[0] of templateXValue[1] templateXValue[1] . The overall templateTitle[1] of legal templateYLabel[1] in the templateTitle[2] has gradually decreased since the mid-1980s .
This statistic shows the degree of templateTitle[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . templateTitle[0] is defined as the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateYLabel[3] templateYLabel[2] . In templateXValue[max] , templateYValue[max] percent of the templateYLabel[3] templateYLabel[2] of templateTitleSubject[0] lived in templateYLabel[1] areas .
The statistic shows the templateYLabel[0] market/transfer templateYLabel[1] templateYLabel[2] templateTitle[5] templateXLabel[1] in templateTitle[7] . templateYLabel[0] templateYLabel[2] paid to templateXValue[0] players amounted to templateYValue[max] templateYLabel[3] templateYLabel[4] templateYLabel[5] for the templateTitle[7] season .
This statistic displays the templateTitle[0] of templateTitle[1] templateTitle[2] templateTitle[3] per day in the templateTitleSubject[0] templateTitleSubject[0] between templateTitle[6] and templateTitle[7] , templateTitle[8] templateTitle[9] . In this four templateXLabel[0] period , individuals aged between 11 and 10 templateXValue[0] old templateTitle[3] templateYValue[max] templateYLabel[1] of templateTitle[1] templateTitle[2] per day .
This statistic shows the templateYLabel[0] of templateYLabel[1] of the templateTitleSubject[0] templateTitleSubject[0] templateTitle[4] templateTitle[5] from templateTitleDate[0] to templateTitleDate[1] . In templateTitleDate[1] , templateTitleSubject[0] templateTitleSubject[0] employed around templateYValue[max] people . templateTitleSubject[0] 's total templateYLabel[0] of GE templateYLabel[1] during the country .
The statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] from templateXValue[min] and templateXValue[max] . According to the source , the data are ILO estimates . In templateXValue[max] , the estimated templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] was at templateYValue[0] percent .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateYLabel[3] in the templateTitle[1] from 2000 to templateTitleDate[0] , by world region . During this period , there were approximately templateYValue[0] percent of templateTitle[2] templateTitle[3] users had a templateXValue[0] account .
As of templateXValue[max] , the templateYLabel[0] of templateTitle[2] rapes in the templateTitleSubject[0] templateTitleSubject[0] has been steadily declining , and in templateXValue[max] , there were templateYValue[min] births templateYLabel[2] 1,000 of the templateYLabel[4] . In fact , this figure stood at templateYValue[max] templateYLabel[1] templateYLabel[2] 1,000 templateYLabel[3] , with templateTitle[2] templateTitle[3] in the templateTitle[5] since templateXValue[min] . templateTitle[2] templateTitle[3] – additional information 's birth rate is defined as the templateYLabel[0] of live templateYLabel[1] per 1,000 inhabitants , and it is this particularly important templateYLabel[0] that has been decreasing over the past few decades .
This statistic shows the templateYLabel[0] of the templateTitle[0] men 's templateTitle[1] templateTitle[2] in the templateTitle[4] in templateTitleDate[0] . In that year , templateXValue[0] was the country 's top selling templateXValue[7] templateTitle[2] templateXLabel[0] with templateYLabel[0] that amounted to about templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This graph depicts the templateYLabel[1] of the templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] templateYLabel[0] of Major League Baseball from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] had an estimated templateYLabel[1] of templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] . The templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] are owned by the Steinbrenner Family , who bought them in 1973 for 8.8 templateYLabel[2] templateYLabel[3] templateYLabel[4] .
templateTitleSubject[0] templateTitleSubject[0] 's templateYLabel[0] from printers and copiers reached about templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] in the fiscal templateXLabel[0] templateXValue[max] . The origin 's annual templateYLabel[0] amounted to over 50 templateYLabel[1] templateYLabel[2] templateYLabel[3] in the fiscal templateXLabel[0] of templateXValue[max] . templateTitleSubject[0] templateTitleSubject[0] Companies Inc. : an American success story templateTitleSubject[0] is one of the most automobile manufacturers worldwide .
The timeline presents templateTitleSubject[0] templateTitleSubject[0] 's , formerly known as GSI Commerce , templateTitle[2] templateTitle[3] templateYLabel[0] from templateXValue[min] to templateXValue[max] , in templateYLabel[1] templateYLabel[2] templateYLabel[3] . In templateXValue[11] , templateTitleSubject[0] Commerce reported a templateTitle[3] templateYLabel[0] of templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] before being acquired by templateTitleSubject[0] in June templateXValue[12] .
A survey of them ! '' most of us would probably say that asked what our templateTitle[2] templateTitle[3] is , but when given a choice , templateTitleSubject[0] favor templateXValue[0] over templateXValue[1] and templateXValue[2] . templateXValue[0] is a civil templateTitle[3] in the country , and most templateTitleSubject[0] celebrate it regardless of their religious affiliation . Shopping templateTitle[3] templateXValue[0] is an immense economic stimulus as well , and templateTitleSubject[0] are quite generous when it comes to spending money on templateXValue[0] gifts for their loved ones .
templateTitle[2] templateYLabel[1] at templateTitle[3] establishments in templateTitleSubject[0] have been steadily rising each templateXLabel[0] since the start of the decade . In templateXValue[max] , a record templateYValue[max] templateYLabel[2] tourists ( including residents and non-residents ) arrived at templateTitle[3] in templateTitleSubject[0] . Tourism in templateTitleSubject[0] In line with trends across Europe , tourism in templateTitleSubject[0] has experienced a boost in the last ten years .
This statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] Gross Domestic Product of templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] of templateTitleSubject[0] templateTitleSubject[0] stood at templateYValue[max] templateYLabel[4] templateXValue[6] templateYLabel[6] templateYLabel[7] .
This statistic shows the projected templateTitle[0] templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] in the country from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYLabel[0] templateYLabel[1] to templateYLabel[2] in the templateTitleSubject[0] templateTitleSubject[0] amounted to templateYValue[min] templateYLabel[2] templateYLabel[3] .
A All of them ! '' most of us would probably say that asked what our templateTitle[2] templateTitle[3] is , but when given a choice , templateTitleSubject[0] favor templateXValue[0] over templateXValue[1] and templateXValue[1] . templateXValue[0] is a civil templateTitle[3] in the country , and most templateTitleSubject[0] celebrate it regardless of their religious affiliation . Shopping templateTitle[3] templateXValue[0] is an immense economic stimulus as well , and templateTitleSubject[0] are quite generous when it comes to spending money on templateXValue[0] gifts for their loved ones .
This statistic shows the templateTitleSubject[0] templateYLabel[0] templateYLabel[1] of templateTitle[1] worldwide in templateTitleDate[0] , templateTitle[3] templateXLabel[0] . In that year , the templateXValue[1] templateXValue[0] had the highest templateYLabel[0] templateYLabel[1] of templateYValue[max] percent of nation 's total gross domestic product . A ranking of the templateTitle[6] with the templateTitle[4] templateTitle[0] expenditures can be accessed here .
This statistic shows the total templateTitleSubject[0] templateYLabel[0] templateYLabel[1] templateTitle[3] templateYLabel[2] in the templateTitle[5] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the total templateTitleSubject[0] templateYLabel[0] templateYLabel[1] templateTitle[3] templateYLabel[2] amounted to approximately templateYValue[0] templateYLabel[3] .
In templateTitleDate[0] , templateXValue[0] had the highest templateTitleSubject[0] templateTitle[1] residential templateYLabel[2] with a templateYLabel[0] of templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] . That year , templateXValue[2] templateXValue[2] , templateXValue[3] , and templateXValue[4] rounded out the top five .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[0] of templateTitle[4] in the templateTitleSubject[0] in templateTitleDate[0] , templateTitle[7] templateXLabel[0] . In templateTitleDate[0] , about templateYValue[max] templateYLabel[1] templateYLabel[2] were employed in templateXValue[0] and templateYValue[max] templateYLabel[1] templateYLabel[2] .
The statistic shows the per-capita gross domestic product ( templateYLabel[0] ) of templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the per-capita templateYLabel[0] of Saudi-Arabia amounted to approximately templateYValue[7] templateYLabel[3] templateYLabel[4] .
templateYLabel[0] templateYLabel[1] of the templateTitle[3] and templateTitle[4] templateTitle[5] amounted to around templateYValue[min] templateYLabel[2] templateYLabel[3] templateYLabel[4] in templateXValue[max] . This represents an increase of over 13.5 templateYLabel[2] templateYLabel[3] templateYLabel[4] in templateXValue[min] .
This statistic displays the distribution of templateTitle[1] templateTitle[2] templateYLabel[1] templateTitle[5] region in templateTitleDate[0] . During the survey , templateYValue[max] percent of the templateYLabel[1] templateTitle[1] templateXValue[0] templateTitle[2] templateXLabel[0] templateTitle[2] the templateTitle[0] . Residential construction involves the building and selling of both individual and multi-family dwellings .
The statistic shows the templateYLabel[0] of the leading templateTitle[3] templateTitle[4] in templateTitleDate[0] . Neutrogena templateXValue[0] templateXValue[0] was the leading templateTitle[3] brand in the templateTitle[2] in templateTitleDate[0] with templateYLabel[0] that amounted to approximately templateYValue[max] templateYLabel[2] templateYLabel[3] , a significant templateYLabel[0] growth of 23.7 percent compared to the previous year . In the templateYLabel[2] , the beauty and personal care market is a booming industry .
The statistic shows a growth forecast for the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateYLabel[0] in templateXValue[max] and shows the actual projected templateYLabel[0] value of the templateTitle[1] templateTitle[2] templateYLabel[0] in templateXValue[min] . For templateXValue[max] , the templateTitleSubject[0] smart templateTitle[1] templateTitle[2] templateYLabel[0] is forecasted to reach templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] . The predicted compound annual growth rate between templateXValue[min] and templateXValue[max] should be 26.3 percent .
The statistic shows the templateYLabel[1] in real templateYLabel[0] in templateTitleSubject[0] from between templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , templateTitleSubject[0] 's real templateTitle[0] templateTitle[1] templateTitle[2] grew by around templateYValue[6] percent templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
As of templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was around templateYValue[max] percent of the total templateTitle[2] . This means that templateTitleSubject[0] 's templateYLabel[0] templateYLabel[1] will increase from templateYValue[min] percent in the previous templateXLabel[0] . The templateYLabel[0] templateYLabel[1] is expected to increase over 30 billion templateYLabel[4] dollars .
As of December templateTitleDate[1] , templateXValue[0] templateXValue[0] had the largest templateYLabel[0] of templateTitle[0] with a total of templateYValue[0] templateYLabel[2] templateYLabel[3] templateYLabel[4] as of December templateTitleDate[1] . templateXValue[1] came in second place with templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] . As of that period , templateXValue[0] templateXValue[0] was the templateTitle[0] did templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
The statistic shows the templateYLabel[0] of at templateTitleSubject[0] templateTitle[1] templateTitle[2] templateYLabel[1] templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were approximately templateYValue[max] templateYLabel[2] templateTitle[1] templateTitle[2] templateYLabel[1] in templateTitleSubject[0] , up from templateYValue[5] templateYLabel[2] in the previous templateXLabel[0] .
templateYLabel[0] of templateTitle[0] and templateTitle[1] templateTitle[2] reached templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] in the templateTitle[5] in templateXValue[max] . This includes used rails for re-rolling and other uses as well as ships , boats , and other vessels for scrapping . The majority of templateTitle[2] consumption in the domestic industry can be attributed to manufacturers of pig templateTitle[0] , raw templateTitle[1] , and templateTitle[1] castings .
Between templateTitleDate[0] and templateXValue[max] , the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitleSubject[0] templateTitleSubject[0] was templateYValue[max] . This , the highest templateYLabel[0] of templateYLabel[1] templateYLabel[2] from the year 2017 . As of templateTitleDate[0] , the highest templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitleSubject[0] templateTitleSubject[0] amounted to templateYValue[max] thousand .
In templateXValue[max] , the templateTitleSubject[0] templateTitleSubject[0] 's global templateTitle[0] amounted to templateYValue[0] templateYLabel[1] templateYLabel[2] . The templateTitleSubject[0] templateTitleSubject[0] Ltd. is a Swiss company which primarily manufactures watches . templateTitleSubject[0] The templateTitleSubject[0] templateTitleSubject[0] was formed in 1983 through the merging of two Swiss watch manufacturers : ASUAG and SSIH .
This statistic shows the total templateTitle[0] templateYLabel[0] of templateTitle[2] and templateTitle[3] in the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] , based on volume . In templateXValue[max] , templateTitleSubject[1] households purchased approximately 19.1 templateYLabel[1] British pounds worth of templateTitle[0] and furnishings , an increase on the previous templateXLabel[0] of roughly one and a half templateYLabel[1] British pounds . According to results of the templateXValue[1] Statista Global Consumer survey , 24 percent of templateTitleSubject[1] consumers have bought templateTitle[0] and household goods online in the last 12 months , while 33 percent claim to mostly look online for information about these products .
templateTitle[3] templateTitle[4] at templateTitle[5] templateTitle[6] had an average waiting time of 10 minutes . templateYValue[max] percent of templateYLabel[1] from a templateTitleDate[0] survey reported queuing approximately templateYValue[min] - 5 percent stated that they consumed templateTitle[4] of any form in the templateTitle[0] three templateTitle[2] . Those aged templateXValue[last] or templateXValue[last] had the lowest levels of templateTitle[5] , with just templateYValue[min] percent of templateYLabel[1] consuming templateTitle[4] in this time .
There were templateYValue[min] templateTitle[1] templateTitle[2] recorded in templateTitleSubject[0] in templateXValue[max] . templateTitleSubject[0] had been able to decrease the templateYLabel[0] of people fatally injured on its roads by nearly half since templateXValue[min] . templateXValue[7] and templateXValue[max] were the only years in which the templateYLabel[0] of fatal accidents increased .
The statistic shows the templateYLabel[0] amount of templateTitleSubject[0] templateTitle[2] templateTitle[3] templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] generated from templateTitleSubject[0] templateTitle[2] templateTitle[3] templateTitle[4] amounted to about templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
The templateYLabel[0] of templateTitleSubject[0] reached templateYValue[0] templateYLabel[1] templateYLabel[2] in templateXValue[max] , up from templateYValue[1] templateYLabel[1] templateYLabel[2] in the previous templateXLabel[0] . Their templateYLabel[0] fell after the Great Recession in the past five years , but have since recovered and reached a decade-long peak of templateYValue[max] templateYLabel[1] templateYLabel[2] in templateXValue[5] . Most of the templateTitleSubject[0] Motor sales templateTitleSubject[0] is a New York-based company which which operates domestically as well as in Asia , Latin America and EMEA .
This statistic shows the results of a templateTitleDate[0] survey among Americans on the templateTitle[0] of templateTitle[1] templateTitle[2] . The survey shows that templateYValue[max] percent of Americans consider themselves experts at templateTitle[1] templateTitle[2] . templateYValue[max] percent of Americans stated that they have templateXValue[3] templateXValue[last] to use templateTitle[2] .
This statistic shows the share of adults in the templateTitleSubject[0] templateTitleSubject[0] who were using templateTitle[0] as of February templateTitleDate[0] , sorted templateTitle[6] templateTitle[7] templateTitle[8] . During that period of time , templateYValue[max] percent of respondents between 18 and 29 years used the social networking site .
The statistic shows the templateTitle[0] templateTitle[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the templateTitle[0] templateTitle[1] of templateTitleSubject[0] amounted to around templateYValue[6] templateYLabel[1] templateYLabel[0] . templateTitle[1] of templateTitleSubject[0] is the second largest nation in the world , in terms of area size , although its templateTitle[0] templateTitle[1] is low in numbers compared to other countries .
This statistic illustrates templateTitleSubject[0] 's templateTitle[1] templateTitle[2] templateYLabel[0] templateYLabel[1] from the first templateXLabel[0] of templateTitleDate[0] to the fourth templateXLabel[0] of templateTitleDate[1] . As of the last reported templateXLabel[0] , the photo sharing app is projected to generate templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] in global revenues , up from an templateYLabel[0] templateYValue[6] templateYLabel[2] templateYLabel[3] templateYLabel[4] in the second templateXLabel[0] of 2019 .
During a survey in June templateTitleDate[0] , it was found that just templateYValue[min] percent of templateTitle[3] adults visited a movie theater one or templateXValue[0] templateXValue[0] templateXValue[0] month , but templateYValue[max] percent stated that they went to the cinema to watch a movie templateXValue[1] or templateXValue[last] or less . Another survey earlier in the same templateXValue[last] revealed that visits to the cinema can vary according to generation . On average , 34 percent of Gen Xers had seen one movie within the last month , compared to 43 percent of those classed as being members of Generation Z .
The statistic shows the templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] templateTitle[2] templateYLabel[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the templateTitleSubject[0] templateTitleSubject[0] templateTitle[2] templateYLabel[0] templateYLabel[1] in the templateTitle[4] amounted to approximately templateYValue[0] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] of adults in the templateTitleSubject[0] templateTitleSubject[0] who were using templateTitle[0] as of February templateTitleDate[0] , sorted templateTitle[6] templateTitle[7] . During that period of time , templateYValue[max] percent of templateXValue[0] respondents stated that they used the social networking site .
This statistic shows the templateYLabel[0] of templateYLabel[1] in templateTitle[1] in the templateTitle[2] templateTitle[3] templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of templateYLabel[1] ( aged six years and older ) in templateTitle[1] amounted to approximately templateYValue[0] templateYLabel[2] .
The statistic shows the templateYLabel[0] of templateYLabel[1] templateTitle[2] templateTitleSubject[0] templateTitleSubject[0] ( WTI ) from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitleSubject[0] templateTitleSubject[0] 's global templateYLabel[0] of templateYLabel[1] was templateYValue[max] templateYLabel[2] templateYLabel[3] templateTitle[2] . This figure represents an increase from the templateYValue[1] templateYLabel[2] in templateXValue[min] .
This statistic shows the templateYLabel[0] of templateTitleSubject[0] users who accessed templateTitle[2] through templateTitle[3] templateTitle[4] as of templateTitleDate[0] , sorted templateTitle[6] templateTitle[7] group . During the survey period , templateYValue[1] percent of templateYLabel[1] aged templateYValue[3] to 34 said that they had accessed templateTitle[2] via templateTitle[3] templateTitle[4] in the six months preceding the survey .
This statistic shows the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to about templateYValue[6] percent templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
The timeline shows templateTitleSubject[0] 's templateTitle[1] templateTitle[2] templateYLabel[0] worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[5] , templateTitle[1] templateTitle[2] templateYLabel[0] of physical goods amounted to templateYValue[5] templateYLabel[1] templateYLabel[2] templateYLabel[3] and is projected to reach templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateXValue[max] .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] templateTitle[3] parent families with a female householder and no spouse present in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[28] percent of all templateTitleSubject[0] families with a templateTitle[3] mother in the templateTitle[5] lived below the templateYLabel[0] level . In templateXValue[max] , that figure was at templateYValue[min] percent .
In the fourth templateXLabel[0] of templateTitleDate[1] , The templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] generated a total templateYLabel[0] of templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] , marking a small increase from the corresponding templateXLabel[0] of templateXValue[32] . The fourth templateXLabel[0] of the year is generally the one in which the templateTitleSubject[0] makes the most templateYLabel[0] , and at the end of templateXValue[32] the figure surpassed 500 templateYLabel[1] for the first time in years .
This statistic presents the templateYLabel[0] of templateTitle[2] templateTitleSubject[0] chat templateTitle[0] templateTitle[1] in the templateTitle[5] as of September templateTitleDate[0] . As of that templateXLabel[0] , the mobile company had an estimated templateYLabel[0] of approximately templateYValue[0] templateYLabel[1] Swiss templateYLabel[3] , followed by the mobile platform . In December 2019 , there was a decrease of templateYValue[0] templateYLabel[1] concurrent pounds in the country .
This statistic shows the templateTitle[0] templateYLabel[0] of templateTitle[2] and templateTitle[3] templateTitle[4] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In the most recent reported period , templateTitleSubject[0] 's templateYLabel[0] templateYLabel[1] amounted to templateYValue[max] templateYLabel[2] templateYLabel[3] , up from templateYValue[1] templateYLabel[2] templateYLabel[3] in the previous templateXLabel[0] .
In templateTitleDate[0] , templateXValue[0] was the most popular templateTitle[1] templateXValue[2] service in the United Kingdom , with templateYValue[max] percent of templateYLabel[1] saying they templateTitle[3] templateXValue[0] to stream , templateXValue[10] , or templateYLabel[0] templateXValue[2] . templateXValue[1] was the second most popular templateTitle[1] templateXValue[2] service , and was templateTitle[3] by templateYValue[1] percent of templateYLabel[1] in templateTitleDate[0] . templateXValue[2] retail Sales revenue of templateXValue[2] at retail has been increasing over recent years and totaled roughly 1.3 billion British pounds 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] percent templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
The graph presents the templateTitle[1] templateTitle[2] templateYLabel[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] scored templateYValue[max] , which shows a templateTitle[1] templateTitle[2] of approximately 28 percent ( women are 28 percent less likely than men to have equal opportunities ) . That same templateXLabel[0] , the templateTitle[1] templateTitle[2] in the area of political empowerment in templateTitleSubject[0] amounted to 72 percent .
This statistic shows the templateYLabel[0] of adults in the templateTitleSubject[0] templateTitleSubject[0] who were using templateTitle[0] as of February templateTitleDate[0] , sorted templateTitle[6] templateTitle[7] templateTitle[8] . During that period of time , templateYValue[max] percent of templateYLabel[1] aged between 18 and 29 years stated that they used the visual blogging site .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] templateTitle[3] parent families with a female householder and no spouse present in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[28] percent of all templateTitleSubject[0] families with a templateTitle[3] mother in the templateTitle[5] lived below the templateYLabel[0] level . In templateXValue[max] , that figure was at templateYValue[min] percent .
This statistic shows the templateTitle[0] templateTitle[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the templateTitle[0] templateTitle[1] of templateTitleSubject[0] amounted to approximately templateYValue[8] templateYLabel[1] templateYLabel[0] . templateTitle[1] of templateTitleSubject[0] is the second largest nation in the world , in terms of area size , although its templateTitle[0] templateTitle[1] is low in numbers compared to other countries .
As of the most templateTitle[6] , templateXValue[0] templateXValue[0] had the highest templateYLabel[0] templateYLabel[1] at the templateTitleSubject[0] templateTitleSubject[0] templateXLabel[0] in templateTitle[4] . templateXValue[0] had the highest templateYLabel[0] templateYLabel[1] of templateYValue[max] million templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[min] percent of the labor force in templateTitleSubject[0] was unemployed .
In templateXValue[max] , the templateTitle[1] templateYLabel[0] of templateTitle[2] and templateTitle[3] templateTitle[4] in templateTitleSubject[0] is estimated to reach templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] . According to the source , a decrease compared to the previous templateXLabel[0] earlier , when the number of templateYValue[5] templateYLabel[1] templateYLabel[2] templateYLabel[3] , up from templateYValue[5] templateYLabel[1] templateYLabel[2] in templateXValue[5] .
This statistic shows the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateTitle[3] scores for templateTitleSubject[1] templateTitleSubject[1] templateTitle[6] in the templateTitle[7] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] for templateTitleSubject[1] templateTitleSubject[1] templateTitle[6] in the templateTitle[7] was templateYValue[min] , down from templateYValue[1] the previous templateXLabel[0] .
The timeline shows templateTitleSubject[0] 's templateTitle[1] generated a templateYLabel[0] of around templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateXValue[max] . The origin story templateTitleSubject[0] emerged as the result of a merger in templateXValue[1] between the American company , FMC Technologies Inc. ( founded in 2001 ) , and the French company , Technip SA ( founded in 1958 ) . Headquartered in Houston , Paris , and London , templateTitleSubject[0] has grown to become one of the leading companies in the global oil and gas equipment and services technology sector .
In templateXValue[max] , there were a total of 303 templateTitleSubject[0] templateTitle[2] templateTitleSubject[0] templateTitleSubject[0] templateYLabel[1] in templateTitleSubject[1] templateTitleSubject[1] , up from just over templateYValue[0] in the previous templateXLabel[0] . Between templateXValue[min] and templateXValue[max] the templateYLabel[0] of templateYLabel[1] in the templateTitleSubject[1] reached an increase of templateYValue[min] templateYLabel[1] in the previous templateXLabel[0] .
In templateXValue[max] , the templateTitle[1] templateTitle[2] templateTitle[3] at templateTitle[4] templateTitle[5] templateTitle[6] a templateTitle[7] in templateTitleSubject[0] amounted to templateYValue[0] percent , which means that almost templateYValue[0] percent of the Brazilian templateYLabel[1] was living on less than templateTitle[4] templateTitle[5] templateTitle[6] per templateTitle[7] . The templateTitle[1] rate has increased since templateXValue[3] , when the templateTitle[2] templateTitle[3] was below templateYValue[min] percent .
This statistic shows the distribution of templateTitle[1] templateYLabel[0] templateYLabel[1] in selected countries in templateTitleSubject[0] in templateTitleDate[0] . templateXValue[0] had templateTitle[5] far the highest templateYLabel[0] of templateYLabel[1] owned templateTitle[5] templateTitle[0] templateTitle[1] companies , followed templateTitle[5] templateXValue[1] and the templateXValue[2] templateXValue[2] . In templateXValue[1] there were templateYValue[1] templateYLabel[2] templateTitle[1] templateYLabel[1] in templateTitleDate[0] and in the templateXValue[2] templateXValue[2] templateYValue[2] in the same year .
In the fourth templateXLabel[0] of templateTitleDate[1] , adjusted templateYLabel[3] templateTitle[3] templateYLabel[0] templateYLabel[1] amounted to over templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] . templateTitle[3] templateYLabel[0] templateYLabel[1] in the templateTitle[1] are estimated from samples used for the Monthly templateTitle[3] Trade Survey and exclude online travel services , ticket templateYLabel[1] agencies and financial brokers . Online templateTitle[3] templateYLabel[1] currently account for one tenth of total templateTitle[3] and approximately 5 percent of annual templateYLabel[0] revenue in the templateTitle[1] .
As of templateXValue[max] it is estimated that there is approximately templateYValue[max] thousand templateYLabel[2] of templateTitle[1] templateTitle[2] in the templateTitleSubject[1] in the templateTitleSubject[1] . This is an increase of about 4.7 percent compared to the previous templateXLabel[0] and an increase of approximately 11 percent compared to templateXValue[4] . Note , however , that there are large templateYLabel[1] differences between the three Belgian regions .
In templateXValue[max] , the templateTitleSubject[0] templateTitle[2] market templateYLabel[0] of the templateTitleSubject[0] templateTitle[3] is expected to reach templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] , and it a slight increase from templateYValue[1] templateYLabel[1] templateYLabel[2] templateYLabel[3] in the previous templateXLabel[0] . The majority of templateTitle[3] templateTitle[4] was designed to increase by recent years . templateTitleSubject[0] – further information Founded in 1995 , templateTitleSubject[0] is one of the oldest online shopping destinations with operations localized in over 30 templateYLabel[1] .
The statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] to templateTitle[3] templateTitle[4] templateTitle[5] ( templateYLabel[3] ) in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , templateYLabel[1] templateYLabel[2] in templateTitleSubject[0] amounted to about templateYValue[6] percent of the country 's templateTitle[3] templateTitle[4] templateTitle[5] .
There were templateYValue[min] templateTitle[1] templateTitle[2] recorded in templateTitleSubject[0] in templateXValue[max] . templateTitleSubject[0] had been able to decrease the templateYLabel[0] of people fatally injured on its roads by nearly half since templateXValue[min] . templateXValue[7] and templateXValue[max] were the only years in which the templateYLabel[0] of fatal accidents increased .
This statistic represents the annual templateYLabel[0] of templateTitleSubject[0] templateTitle[2] templateTitle[3] per annum from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] templateTitle[2] templateTitle[3] was around templateYValue[0] templateYLabel[1] templateYLabel[2] .
This graph depicts the templateYLabel[1] of the templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] templateYLabel[0] of Major League Baseball from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] had an estimated templateYLabel[1] of templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
As of the fourth templateXLabel[0] of templateTitleDate[1] , the templateYLabel[0] of templateTitle[2] templateTitle[3] in the templateTitle[0] templateTitleSubject[0] had templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] . In the third templateXLabel[0] of templateTitleDate[1] , templateTitle[0] 's templateYLabel[0] amounted to templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] . templateYLabel[0] templateYLabel[1] – additional information The templateYLabel[0] templateYLabel[1] of over the third templateXLabel[0] of 2013 .
The timeline shows templateTitleSubject[0] 's templateTitle[1] templateTitle[2] templateYLabel[0] in the templateTitle[4] in templateXValue[min] and templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateYLabel[0] amounted to approximately templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] of templateTitle[1] templateTitle[2] templateYLabel[1] in the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . The templateYLabel[0] of templateTitle[1] templateTitle[2] templateYLabel[1] is expected to increase from templateYValue[max] templateYLabel[2] in templateXValue[min] .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at approximately templateYValue[0] percent .
This statistic shows the templateTitle[0] templateTitle[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the templateTitle[0] templateTitle[1] of templateTitleSubject[0] amounted to approximately templateYValue[6] templateYLabel[1] templateYLabel[0] . templateTitle[1] of templateTitleSubject[0] is a country constantly plagued by war and terrorism .
This statistic shows the degree of templateTitle[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . templateTitle[0] is defined as the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateYLabel[3] templateYLabel[2] . In templateXValue[max] , templateYValue[max] percent of the templateYLabel[3] templateYLabel[2] of templateTitleSubject[0] lived in templateYLabel[1] areas .
This statistic shows the development of templateTitleSubject[0] 's templateYLabel[0] templateYLabel[1] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[1] of templateTitleSubject[0] was about templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] . The annual templateYLabel[0] templateYLabel[1] growth of the templateYLabel[3] can be accessed here .
This statistic shows the degree of templateTitle[0] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . templateTitle[0] is defined as the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateYLabel[3] templateYLabel[2] . In templateXValue[max] , templateYValue[max] percent of the templateYLabel[3] templateYLabel[2] of templateTitleSubject[0] lived in templateYLabel[1] areas .
The graph depicts the templateYLabel[0] regular season templateTitle[1] templateYLabel[1] of all National Hockey League teams in the templateTitle[6] season . In templateTitleDate[0] , the templateYLabel[0] templateYLabel[1] of the templateXValue[17] templateXValue[17] franchise was templateYValue[17] , slightly lower than the overall templateYLabel[0] templateYLabel[1] in the templateTitleSubject[0] .
This statistic shows the templateTitle[1] templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[0] percent of templateTitleSubject[0] 's templateYLabel[1] lived below the templateTitle[1] line .
The statistic shows the top-25 templateTitle[0] at the templateTitle[6] templateTitle[8] templateTitle[9] templateTitle[7] in templateTitleSubject[0] according to their current templateYLabel[0] / templateTitle[4] templateYLabel[1] . templateXValue[0] templateXValue[0] of Argentina is the templateTitle[2] valued player templateTitle[1] a templateTitle[4] templateYLabel[0] templateYLabel[1] of templateYValue[max] templateYLabel[2] templateYLabel[3] . templateYLabel[0] values of templateTitle[0] at the templateTitle[8] templateTitle[9] templateTitle[7] - additional information The market/transfer templateYLabel[1] of a football player is determined by a number of statistics , including the player 's age , salary , playing stats and recent performances .
A survey of online users in the templateTitle[5] revealed that templateYValue[max] percent of templateYLabel[1] felt that templateXValue[0] templateXValue[0] and messaging apps were among the three types of apps that they templateTitle[1] the most templateTitleSubject[0] on . During the third quarter templateTitleDate[0] survey , templateYValue[6] percent of templateYLabel[1] stated the same about gaming apps .
This statistic represents the annual templateYLabel[0] of templateTitleSubject[0] templateTitle[1] templateTitle[2] from the fiscal templateXLabel[0] of templateXValue[min] to the fiscal templateXLabel[0] of templateXValue[max] . In the fiscal templateXLabel[0] of templateXValue[max] , the templateTitleSubject[0] templateTitle[1] templateTitle[2] templateYLabel[0] templateYLabel[1] amounted to templateYValue[0] templateYLabel[2] templateYLabel[3] .
The statistic shows the share of templateYLabel[1] from templateTitleSubject[0] templateTitleSubject[0] and the templateTitleSubject[0] participating in the templateTitleDate[0] PyeongChang templateTitle[6] templateTitle[7] , sorted templateTitle[8] templateXLabel[0] . Out of a templateXValue[0] of templateYValue[max] templateYLabel[1] from this region , templateYValue[9] were from templateXValue[last] and templateYValue[8] from templateXValue[8] .
This statistic shows the templateYLabel[0] templateYLabel[1] of The templateTitleSubject[0] templateTitle[3] templateTitleSubject[0] worldwide from templateXValue[min] to templateXValue[max] . Fast food chain templateTitleSubject[0] templateTitle[3] had a templateYLabel[0] templateYLabel[1] of approximately templateYValue[0] templateYLabel[2] templateYLabel[3] templateYLabel[4] in templateXValue[max] . This shows a 70 percent decrease over previous templateXLabel[0] templateTitle[3] total amounting to templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
The statistic shows how data on the templateYLabel[0] of templateYLabel[1] of templateTitle[1] website in templateTitleSubject[0] from templateXValue[last] to templateXValue[0] , in templateXValue[0] . In templateXValue[0] templateXValue[0] , it was found that over templateYValue[max] templateYLabel[2] templateYLabel[0] of templateTitleSubject[0] seeds in the country .
This statistic shows the degree of templateTitle[0] in templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . templateTitle[0] means the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateYLabel[3] templateYLabel[2] of a country . In templateXValue[max] , templateYValue[max] percent of templateTitleSubject[0] templateTitleSubject[0] 's templateYLabel[3] templateYLabel[2] lived in templateYLabel[1] areas and cities .
The statistic shows the templateYLabel[0] of templateTitleSubject[0] templateTitleSubject[0] templateYLabel[1] templateYLabel[2] from the first templateXLabel[0] of templateTitleDate[0] to the fourth templateXLabel[0] of templateTitleDate[1] . As of the last reported templateXLabel[0] , the website 's templateYLabel[0] templateYLabel[1] amounted to templateYValue[0] templateYLabel[3] .
This statistic displays the 20 templateTitle[0] templateYLabel[0] templateTitle[2] templateTitle[3] templateTitle[4] in selected templateTitleSubject[0] countries in templateTitleDate[0] . In templateTitleDate[0] , templateXValue[0] was the templateTitle[0] templateYLabel[0] templateTitle[2] templateTitle[3] templateTitle[4] with an templateYLabel[0] value of approximately templateYValue[max] templateYLabel[1] Swiss templateYLabel[3] .
This statistic shows the results of templateTitleSubject[0] templateTitle[2] templateTitle[3] templateTitle[4] in templateTitleDate[0] , templateTitle[5] templateTitle[6] templateTitle[7] . In templateTitleDate[0] , templateYValue[max] percent of templateYLabel[1] said they think templateTitle[2] templateTitle[3] templateTitle[4] templateXValue[0] templateXValue[0] .
The timeline shows templateTitleSubject[0] 's templateYLabel[0] of the National Football League ( templateTitleSubject[0] ) from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitleSubject[0] and its templateTitle[2] generated templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateYLabel[0] from sponsorships .
As of March of templateTitleDate[0] , around templateYValue[max] percent of Americans felt that templateTitle[1] templateTitle[2] websites templateXValue[0] report templateTitle[5] templateTitle[2] stories in the templateTitle[7] . Another templateYValue[1] percent of templateYLabel[1] stated that they believed that templateTitle[1] templateTitle[2] websites templateXValue[1] report templateTitle[5] templateTitle[2] stories . Just templateYValue[2] percent of adults said that they did templateXValue[2] believe that templateTitle[5] templateTitle[2] stories were being reported templateTitle[1] .
This statistic shows the templateYLabel[0] of templateTitle[1] in the templateTitle[0] that currently smoke templateTitle[4] as of July templateTitleDate[0] , templateTitle[6] templateTitle[7] templateTitle[8] . During the survey , templateYValue[max] percent of templateYLabel[1] earning 30 thousand templateTitleSubject[0] dollars per year or less said that they smoke templateTitle[4] .
There were the templateTitle[1] templateTitle[2] inhabitants in templateTitleSubject[0] in 2019 , the templateTitle[0] templateTitle[1] name was templateXValue[0] . As of January templateTitleDate[0] , around templateYValue[max] thousand Danish women bore the name . There are several variations of it such as templateXValue[5] , which is very popular in templateTitleSubject[0] as well and , with a templateYLabel[0] of approximately templateYValue[4] thousand , ranked on sixth place .
In templateXValue[max] , the total templateYLabel[0] of companies templateYLabel[1] in templateTitleSubject[0] was approximately templateYValue[0] templateYLabel[1] . According to templateXValue[max] , there were templateYValue[max] templateYLabel[1] in templateTitleSubject[0] . The templateYLabel[0] templateYLabel[1] has risen since the number of templateTitleSubject[0] .
The timeline shows the templateYLabel[0] of the templateTitle[0] men 's templateTitle[1] templateTitle[2] templateTitle[3] in the templateTitle[4] in templateTitleDate[0] . In that year , templateXValue[0] was the templateTitle[0] men 's templateTitle[1] templateTitle[2] templateXLabel[0] in the templateTitle[4] with templateYLabel[0] of about templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] . Additional information on the templateTitle[1] templateTitle[2] market templateTitle[1] templateTitle[2] is used by men in order to facilitate templateTitle[1] , creating a more comfortable process and a better finish .
In templateTitleDate[0] , the Italian templateTitle[5] which registered the highest templateTitle[0] templateTitle[1] in the templateTitleSubject[0] was templateXValue[0] templateXValue[0] . In the year considered , the templateYLabel[0] templateYLabel[1] of templateYLabel[2] born templateYLabel[3] templateYLabel[4] in this area reached templateYValue[max] infants . Overall over the last years , the birth templateTitle[1] in templateTitleSubject[0] has constantly decreased .
This statistic shows the results of a survey conducted in the country in February templateTitleDate[0] on whether templateTitle[5] templateTitle[6] templateTitle[7] templateXValue[1] templateXValue[0] templateTitle[2] the American President Donald templateTitleSubject[0] . During the survey , templateYValue[max] percent of templateYLabel[1] stated they think that templateTitle[7] of templateTitle[5] countries do not templateXValue[1] templateXValue[1] templateXValue[0] templateTitle[2] Donald templateTitleSubject[0] .
This statistic shows the total templateYLabel[0] of templateTitle[2] templateTitle[3] in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of templateTitle[2] templateTitle[3] in the templateTitle[4] came to over templateYValue[max] templateYLabel[1] .
As of templateXValue[max] , the templateYLabel[0] of templateTitle[2] rapes in the templateTitleSubject[0] templateTitleSubject[0] has been steadily declining , and in templateXValue[max] , there were templateYValue[min] births templateYLabel[2] 1,000 of the templateYLabel[4] . In templateXValue[min] , this figure stood at templateYValue[max] percent . templateTitle[2] – the templateYLabel[0] of templateTitle[2] templateTitle[3] in the templateTitleSubject[0] templateTitleSubject[0] has been relatively stable in recent years .
The statistic shows the templateYLabel[0] of templateTitleSubject[0] templateTitle[2] templateTitle[3] templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] templateTitle[2] templateTitle[3] templateYLabel[0] amounted to templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
The statistic shows the total templateTitleSubject[0] templateTitleSubject[0] ' ( UAE ) templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[4] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , The templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was around templateYValue[6] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
A July templateTitleDate[0] survey of templateTitleSubject[0] adults found that approximately templateYValue[max] percent of American templateXValue[0] and templateYValue[min] percent of American templateXValue[last] currently smoke templateTitle[4] . Impact of Legalizing Cannabis in the templateTitle[0] . Since Washington and Colorado legalized recreational templateTitle[4] in 2012 , several more states have followed suit .
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] had amounted to about templateYValue[1] percent templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic shows the templateYLabel[0] of the world templateTitleSubject[0] templateTitle[3] in 2018/2019 , templateTitle[4] templateXLabel[0] . In that year , the templateXValue[1] templateXValue[1] came to over templateYValue[1] templateYLabel[1] templateYLabel[2] templateYLabel[3] of templateYLabel[0] .
This statistic shows the results of a Statista survey conducted in the country in templateTitleDate[0] on tattoos and body modification . During the survey the templateYLabel[1] were asked how many templateTitle[2] they have . templateYValue[0] percent of the templateYLabel[1] said they only have templateXValue[0] piercing .
This statistic gives a ranking of major templateTitle[1] of templateTitle[2] templateTitle[3] templateTitleSubject[0] templateTitle[5] templateYLabel[0] in 2018 . According to the report , the templateXValue[0] templateXValue[0] had approximately templateYValue[max] templateYLabel[1] templateYLabel[2] of templateTitle[5] to templateXValue[1] that year .
The graph depicts the templateYLabel[0] templateYLabel[1] of the templateTitleSubject[0] templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the franchise had a team payroll , including benefits and bonuses , of templateYValue[0] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
As of the fourth templateXLabel[0] of templateXValue[0] , templateTitleSubject[0] templateTitle[1] templateYLabel[0] came to templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] , up from templateYValue[1] templateYLabel[1] templateYLabel[2] templateYLabel[3] in the corresponding templateXLabel[0] in the corresponding templateXLabel[0] of templateXValue[4] . templateTitleSubject[0] templateTitle[1] templateYLabel[0] - additional information templateTitleSubject[0] refers to 260 templateYLabel[1] templateYLabel[2] templateYLabel[3] , up from 1.18 templateYLabel[1] in the corresponding templateXLabel[0] of the previous templateXLabel[0] .
This statistic shows the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the average templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] amounted to about templateYValue[0] percent templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
In templateTitleDate[0] , templateYValue[1] percent of templateXValue[1] and around a quarter of templateXValue[0] had purchased templateTitle[0] or templateTitle[1] templateTitle[2] in the previous 12 months in templateTitleSubject[0] templateTitleSubject[0] . templateTitle[3] templateTitle[2] was most common among the 25 to 34-year-old templateTitle[8] , with templateYValue[max] percent of individuals within this group having made purchases in templateTitleDate[0] . European templateTitle[2] templateTitle[3] compared Overall , 29 percent of British adults bought templateTitle[1] templateTitle[2] in templateTitleDate[0] .
There were templateYValue[0] reported templateTitle[1] templateTitle[2] in templateTitleSubject[0] in templateXValue[max] . This was a slight increase compared to the previous templateXLabel[0] , but an increase of 14 incidents compared to the low reported in templateXValue[4] . The Northern European island state is known for enforcing a strict templateTitle[1] safety policy in order to ensure the security of its residents and tourists in the country .
The statistic shows the templateYLabel[0] of templateTitle[2] templateTitleSubject[0] templateTitleSubject[0] templateYLabel[1] templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , approximately templateYValue[min] templateYLabel[2] templateTitleSubject[0] templateTitle[4] were counted templateTitle[2] templateYValue[max] templateYLabel[2] , up from templateYValue[4] templateYLabel[2] in the previous templateXLabel[0] .
This statistic shows the templateYLabel[0] of International Workplace Group ( templateTitleSubject[0] ) , formerly Regus , templateTitle[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] generated a templateYLabel[0] of templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateTitle[2] . In templateXValue[max] , Regus changed its holding company to templateTitleSubject[0] but hold the Regus name as their brand .
This statistic represents the annual templateYLabel[0] of the templateTitleSubject[0] templateTitle[2] templateTitle[3] templateTitle[4] from templateXValue[min] to templateXValue[max] . The templateTitle[2] templateTitle[3] templateTitle[4] is a templateYLabel[0] of templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
The figure shows the templateYLabel[0] of templateTitle[2] templateTitle[3] templateTitle[4] in the templateTitleSubject[0] templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[2] , there were templateYValue[min] templateYLabel[1] as templateTitle[2] templateTitle[3] templateTitle[4] .
This statistic shows the templateYLabel[0] of International Workplace Group ( templateTitleSubject[0] ) , formerly Regus , templateTitle[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitleSubject[0] generated a templateYLabel[0] of templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateTitle[2] .
As of June templateXValue[max] , the templateTitle[2] and templateTitle[3] industry templateTitleSubject[0] amounted to around templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateXValue[1] . Industry revenues are expected to increase to over 50 templateYLabel[1] templateYLabel[3] per templateXLabel[0] by templateXValue[max] as an increasing share of templateTitleSubject[0] businesses adopt data collection and analysis into their strategy . templateTitle[1] templateTitle[0] templateTitle[1] colocations are typically large datacenters that house the computing resources of client companies and provide the space , security , power , and networking connections needed .
As of templateXValue[max] it is estimated that there is approximately templateYValue[max] thousand templateYLabel[2] templateYLabel[3] of templateTitle[1] globally . In recent years , the templateYLabel[0] of individuals in templateXValue[5] when there were over templateYValue[min] templateYLabel[1] templateYLabel[2] templateYLabel[3] . templateTitle[1] is considered one of the rarest and most valuable metals in the world .
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] of templateTitleSubject[0] was around templateYValue[6] templateYLabel[2] .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitle[1] templateTitle[2] in templateTitleSubject[0] was at about templateYValue[min] templateYLabel[0] templateYLabel[1] 1,000 templateYLabel[3] templateYLabel[4] .
Swedish e-shoppers cared about fashion and templateXValue[1] in templateTitleDate[0] . The templateTitle[0] frequently templateTitle[1] templateXValue[1] templateTitle[3] by Swedish consumers , were templateXValue[0] and templateXValue[0] items , with templateYValue[max] percent of templateYLabel[1] ' vote . templateXValue[1] and templateXValue[1] templateXValue[1] followed , with templateYValue[1] percent of templateYLabel[1] ' vote .
The timeline shows templateTitleSubject[0] templateTitle[1] templateTitle[2] templateYLabel[0] from the fiscal templateXLabel[0] of templateXValue[min] to the fiscal templateXLabel[0] of templateXValue[max] . In the fiscal templateXLabel[0] of templateXValue[max] , the Volkswagen Group generated templateYLabel[0] of approximately templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic shows the number of templateTitle[0] templateYLabel[1] in the templateTitleSubject[0] templateTitleSubject[0] ( templateTitleSubject[1] ) from templateXValue[min] to templateXValue[max] . Through templateXValue[max] , the templateTitle[2] templateTitle[3] of templateYLabel[0] templateYLabel[1] is expected to grow by templateYValue[max] percent .
The templateYLabel[0] of templateTitleSubject[0] reached approximately templateYValue[0] templateYLabel[1] templateYLabel[2] in templateXValue[max] , up from templateYValue[1] templateYLabel[1] templateYLabel[2] templateYLabel[3] in the previous templateXLabel[0] . Their templateYLabel[0] fell after the Great Recession in the late 2000s , but have since recovered and reached a high of templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateXValue[5] . Most profitable business segment templateTitleSubject[0] is a New York-based insurance company , which operates domestically as well as in Asia , Latin America and EMEA .
The statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . The templateYLabel[0] templateYLabel[1] is calculated using the price increase of a defined product basket . This product basket contains products and services , on which the average consumer spends money throughout the templateXLabel[0] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] of templateTitle[3] templateXValue[0] templateXValue[0] the templateTitle[6] as of March templateTitleDate[0] . During the survey , templateYValue[max] percent of the templateYLabel[1] were templateTitle[0] aggravated by the templateXValue[0] templateXValue[0] templateXValue[0] templateTitle[3] templateXValue[0] . The average daily rate of hotels in the templateTitle[6] was 123.97 templateTitleSubject[0] dollars in 2016 , a figure which has grown annually since 2009 .
This statistic shows the total templateTitleSubject[0] templateTitleSubject[0] ( UK ) templateTitle[2] templateYLabel[0] templateYLabel[1] templateYLabel[2] from templateTitleDate[0] to templateTitleDate[1] . The largest templateTitleSubject[0] templateYLabel[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] amounted to templateYValue[0] British pounds in the templateTitle[6] .
Between templateXValue[min] and templateXValue[max] , the templateYLabel[0] of official templateYLabel[1] templateTitle[2] increased from approximately templateYValue[min] thousand to templateYValue[0] thousand , after which it experienced a slight decline . As of the period under consideration , the company with 1.87 thousand official templateYLabel[1] templateTitle[2] followed by Germany and France . The majority of templateTitleSubject[0] – additional information in the country with the highest templateYLabel[0] of templateYLabel[1] templateTitle[2] was recorded in templateXValue[max] , with templateYValue[max] templateYLabel[2] U.S. dollars .
templateTitleSubject[0] templateTitleSubject[0] has managed to increase its annual templateYLabel[0] from templateYValue[min] templateYLabel[1] in the fiscal templateXLabel[0] of templateXValue[max] . In the templateXValue[max] fiscal templateXLabel[0] , templateTitleSubject[0] generated around templateYValue[max] templateYLabel[1] templateYLabel[2] in the fiscal templateXLabel[0] . templateTitleSubject[0] is one of the largest oil and most valuable companies in the world .
As of the third quarter of templateTitleDate[0] , it was found that templateYValue[0] percent of templateTitleSubject[0] users in the templateTitleSubject[1] templateTitleSubject[1] accessed the photo sharing app templateXValue[0] templateXValue[0] a templateXValue[0] . A further templateYValue[1] percent of templateYLabel[1] claimed that they used templateTitleSubject[0] on a templateXValue[1] basis .
In templateXValue[max] , the templateTitleSubject[0] templateTitleSubject[0] 's global templateTitle[0] amounted to templateYValue[0] templateYLabel[1] templateYLabel[2] , up from just under templateYValue[1] templateYLabel[1] templateYLabel[2] in the previous templateXLabel[0] . templateTitleSubject[0] is one of the largest online automakers templateTitle[4] . templateTitleSubject[0] was one of the largest online markets in the European Union .
In templateXValue[max] , approximately templateYValue[0] templateYLabel[1] templateYLabel[0] in the templateTitle[0] had no templateTitle[3] templateTitle[4] . The share of templateTitleSubject[0] templateTitle[2] templateTitle[3] templateTitle[4] was steadily decreasing until templateXValue[3] , but has been increasing since templateXValue[8] . The Tax Cuts and Jobs Act of templateXValue[1] caused this change , because it repealed the individual mandate , which penalized individuals for failing to maintain templateTitle[3] coverage .
In templateTitleDate[0] , it was estimated that around templateYValue[max] templateYLabel[4] 10,000 templateYLabel[1] in the templateXValue[0] templateXValue[0] had templateYLabel[3] spectrum disorder , one of the templateTitle[2] prevalence templateTitle[3] in the world . templateYLabel[3] spectrum disorder ( templateYLabel[2] ) includes a variety of disorders . The `` spectrum '' denotes the range of symptoms as well as their severity .
The statistic depicts the templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] , a franchise of the National Football League , from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] was templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
In templateXValue[max] , the templateTitleSubject[0] templateTitleSubject[0] produced approximately templateYValue[max] templateYLabel[2] templateYLabel[3] of templateYLabel[0] worldwide , an increase of 53 templateYLabel[2] templateYLabel[3] on the previous templateXLabel[0] . The company templateTitle[2] templateTitle[3] templateYLabel[0] templateYLabel[1] has increased by about 75 percent since templateXValue[6] . Asia at the center of templateTitle[3] operations network The templateTitleSubject[0] templateTitleSubject[0] templateTitle[2] templateYLabel[0] templateYLabel[1] has risen year-on-year since templateXValue[6] .
This statistic gives information on the templateTitle[1] templateTitle[2] templateTitle[3] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , templateYValue[min] percent of the Singaporean templateYLabel[1] were using the templateTitle[1] . In templateXValue[max] , this figure is projected to grow to templateYValue[max] percent .
This graph shows the templateTitle[1] templateTitle[2] and non-negligent templateTitle[4] templateYLabel[0] in the country from templateTitleDate[0] to templateTitleDate[1] . In templateTitleDate[1] , the nationwide templateYLabel[0] was templateYValue[0] cases templateYLabel[1] 100,000 of the templateYLabel[3] .
The statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of the templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[3] templateTitle[4] templateTitle[5] came to around templateYValue[0] templateYLabel[3] templateYLabel[4] . templateYLabel[3] templateTitle[4] templateTitle[5] The templateTitle[4] templateTitle[5] in the templateTitle[3] is a huge sector of – especially when oil and gas extraction is included .
Between templateXValue[min] and templateXValue[max] , the templateYLabel[0] of official templateYLabel[1] templateTitle[2] increased from approximately templateYValue[min] thousand to templateYValue[0] thousand , after which it experienced a slight decline . As of templateXValue[max] , England is the leader with 1.87 thousand official templateYLabel[1] templateTitle[2] followed by Germany and France with respectively 731 and 602 registered templateYLabel[1] templateTitle[2] . The rise in the templateYLabel[0] of templateYLabel[1] templateTitle[2] in templateTitleSubject[0] was accompanied with a rise in templateYLabel[1] popularity .
The statistic shows the percentage of templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] templateTitle[7] in married couple templateYLabel[2] in the templateTitle[8] from templateTitleDate[0] to templateTitleDate[1] . In templateTitleDate[1] , templateYValue[0] templateYLabel[0] of family templateYLabel[2] in which both templateTitle[1] and templateTitle[7] have earnings , the wife had a higher income templateTitle[5] her husband .
This timeline shows the development of templateTitleSubject[0] 's templateYLabel[0] templateYLabel[1] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the company 's templateYLabel[0] templateYLabel[1] amounted to templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] . The annual templateYLabel[0] templateYLabel[1] growth of the templateYLabel[3] can be accessed here .
The graph shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) in templateTitleSubject[0] from templateXValue[min] to templateXValue[7] , with projections up until templateXValue[max] . templateTitle[3] 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] templateTitle[1] templateTitle[2] templateTitle[3] in the templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] of templateTitle[2] templateTitle[3] amounted to approximately templateYValue[0] templateYLabel[4] .
The graph presents the templateYLabel[0] templateYLabel[1] of around templateYValue[0] templateYLabel[2] templateYLabel[3] templateYLabel[4] in templateXValue[max] , templateTitle[4] templateXLabel[0] . In that templateXLabel[0] , the company 's templateYLabel[0] templateYLabel[1] amounted to over templateYValue[min] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
In templateXValue[max] , the total templateYLabel[0] of companies producing templateTitle[0] and templateTitle[2] was approximately templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] . Between templateXValue[7] and templateXValue[max] the templateYLabel[0] fluctuated . However , prior to templateXValue[7] templateYLabel[0] was much higher , reaching over templateYValue[8] templateYLabel[1] templateYLabel[3] in templateXValue[min] .
The statistic shows the templateTitle[0] templateTitle[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the templateTitle[0] templateTitle[1] of templateTitleSubject[0] amounted to around templateYValue[7] templateYLabel[1] people . templateTitle[1] of templateTitleSubject[0] Although templateTitle[0] templateTitle[1] increased on a yearly basis from 2004 to templateXValue[min] , templateTitle[1] growth has slowly decreased annually as of 2011 , despite remaining positive .
As of the third quarter of templateTitleDate[0] , it was found that templateYValue[0] percent of templateTitle[0] users in the templateTitleSubject[0] templateTitleSubject[0] accessed the social platform templateXValue[0] templateXValue[0] a templateXValue[0] . A further templateYValue[1] percent of templateYLabel[1] claimed that they used templateTitleSubject[0] on a templateXValue[1] basis .
Between templateTitle[4] and templateTitle[5] , the immigration numbers in templateTitleSubject[0] were largely influenced templateTitle[6] citizens from Africa . templateXValue[0] represented the most frequent origin templateXLabel[0] declared upon arrival , followed templateTitle[6] templateXValue[1] templateXValue[1] and templateXValue[2] . Between January templateTitle[4] and January templateTitle[5] , templateYValue[max] thousand Tunisians templateTitle[2] on the Italian shores , while the templateYLabel[0] of people from templateXValue[1] templateXValue[1] amounted to templateYValue[1] thousand .
The statistic shows the templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] from the templateXValue[last] season to the templateXValue[0] season . The templateYLabel[0] of the templateTitleSubject[0] templateTitleSubject[0] amounted to templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] in the templateXValue[0] season .
In templateXValue[max] , the templateTitle[1] templateYLabel[0] of templateTitle[3] templateTitle[4] in templateTitleSubject[0] amounted to about templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] , up from over templateYValue[min] templateYLabel[1] templateYLabel[2] templateYLabel[3] in the previous templateXLabel[0] . Also , the templateYLabel[0] of templateTitle[3] began in the country amounted to below 10.8 templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateXValue[max] .
As of February templateTitleDate[0] , the templateXValue[0] templateXValue[0] generated templateYValue[max] percent of Instagram templateYLabel[1] templateYLabel[2] , while visitors from the templateXValue[0] templateXValue[3] accounted for templateYValue[3] percent of site visits . Instagram is one of the most popular social networks in the templateXValue[0] templateXValue[0] with a 31 percent membership reach among online adults in the templateXValue[0] templateXValue[0] . During a February templateTitleDate[0] survey , it was found that 93 percent of adults in the templateXValue[0] templateXValue[0] were aware of the photo sharing app .
Between templateXValue[min] and templateXValue[max] , the templateYLabel[0] of templateTitle[2] sponsorship templateTitle[4] in templateTitleSubject[0] was about templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] . This represented a net increase of templateYLabel[2] templateYLabel[3] in the six-year survey period . In templateXValue[max] , the global templateTitle[5] of the French top football league is increasing , whether it concerns the market templateTitle[5] of the teams .
As of templateTitleDate[0] , templateYValue[max] percent of U.S.-based templateYLabel[1] stated that their favorite moving watching location was at templateXValue[1] . Only around templateYValue[0] percent of templateYLabel[1] stated that they templateTitle[0] to watch movies in a theatre , while templateYValue[3] percent stated that they like the theatre and templateXValue[1] options templateXValue[3] . templateXValue[0] viewership Movies have long been a staple of the entertainment industry in templateXValue[3] the templateTitle[4] and across the globe .
In templateXValue[max] , templateTitleSubject[0] had a templateTitle[0] templateTitle[1] of about templateYValue[max] people templateYLabel[1] templateYLabel[2] templateYLabel[3] . The country has one of the lowest templateTitle[0] densities in the world , as the total templateTitle[0] is very small in relation to the dimensions of the land . templateTitleSubject[0] has a relatively stable templateTitle[0] size , consistently with a growth of around one percent compared to the previous templateXLabel[0] .
In templateXValue[max] , the templateTitle[1] templateTitle[2] templateTitle[3] of the templateTitle[0] in the templateTitleSubject[0] templateTitleSubject[0] amounted to templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] . This would be an increase of about 13.5 templateYLabel[1] templateYLabel[2] templateYLabel[3] by the templateTitleSubject[0] templateTitleSubject[0] . templateTitle[2] templateTitle[3] - additional information The templateTitleSubject[0] templateTitleSubject[0] is located in 44 templateTitle[5] templateTitleSubject[0] .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitleSubject[0] templateTitle[3] parent families with a female householder and no spouse present in the templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[28] percent of all templateTitleSubject[0] families with a templateTitle[3] mother in the templateTitle[5] lived below the templateYLabel[0] level . In templateXValue[max] , that figure was at templateYValue[min] percent .
This statistic shows the templateYLabel[0] of the templateTitle[1] templateTitle[2] templateXValue[9] templateTitle[4] in the templateTitle[5] in templateTitleDate[0] . In that year , templateXValue[0] templateXValue[0] had templateYValue[max] templateYLabel[1] templateYLabel[2] in the templateTitle[1] templateTitle[2] .
A survey of online users in the templateTitle[5] revealed that templateYValue[max] percent of templateYLabel[1] felt that templateXValue[0] templateXValue[0] and messaging apps were among the three types of apps that they templateTitle[1] the most templateTitleSubject[0] on . During the third quarter templateTitleDate[0] survey , templateYValue[6] percent of templateYLabel[1] stated the same about gaming apps .
As of templateXValue[max] it is estimated that there is approximately templateYValue[max] thousand templateYLabel[2] of templateTitle[1] globally . In recent years , the templateYLabel[0] of individuals templateYLabel[1] in templateTitleSubject[0] when there were just templateYValue[min] thousand templateYLabel[2] available . templateTitle[1] is considered one of the rarest and most valuable metals in the world .
As of the fourth templateXLabel[0] of templateTitleDate[1] , the templateYLabel[2] chat app company templateTitleSubject[0] templateTitleSubject[0] generated almost templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] . This represented an increase of about 8.6 percent compared to the previous templateXLabel[0] of the previous year . The Japanese e-commerce company is headquartered in Tokyo , where media entertainment , innovation initiatives and others .
This statistic shows the templateYLabel[0] templateTitle[1] templateTitle[2] of the templateTitle[3] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] , on a historical-cost basis . In templateXValue[max] , the templateYLabel[3] templateYLabel[1] made in templateTitleSubject[0] were valued at approximately templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] . templateYLabel[3] templateYLabel[0] templateTitle[1] abroad is defined as ownership by a templateYLabel[3] investor of at least templateYValue[12] percent of a foreign business .
The graph shows the templateYLabel[0] of templateTitleSubject[0] templateTitleSubject[0] templateYLabel[1] in the templateTitle[5] as of templateXValue[1] templateTitleDate[0] . Shortly after its release , the game had templateYValue[min] templateYLabel[2] templateTitle[3] active templateYLabel[1] in the templateTitle[5] and the user numbers peaked on templateXValue[1] templateXValue[1] , reaching templateYValue[max] templateYLabel[2] . On templateXValue[0] templateXValue[0] , templateTitleDate[0] templateTitleSubject[0] templateTitleSubject[0] had templateYValue[0] templateYLabel[2] DAU .
In December templateTitleDate[1] , templateTitleSubject[0] templateYLabel[1] templateYValue[0] vehicles in the templateTitleSubject[1] templateTitleSubject[1] market . templateTitle[2] of the British luxury templateTitle[1] usually peaked in March and September of each year , as those were the months when the Driver & Vehicle Licensing Agency ( DVLA ) issued new registration plates . September 2018 was the notable exception , as there had only been templateYValue[15] templateTitle[2] recorded .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitle[1] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were around templateYValue[max] templateYLabel[3] templateYLabel[1] templateYLabel[2] on the social network . This figure is an alloy made by combining iron and other elements .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at approximately templateYValue[0] percent .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at templateYValue[min] percent .
This statistic shows the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateYLabel[1] in the templateTitleSubject[0] templateTitleSubject[0] ( templateTitleSubject[1] ) from templateTitleDate[0] to templateTitleDate[1] . As of October 17 , the templateXLabel[0] templateXValue[3] templateTitle[3] templateYValue[max] percent of templateYLabel[1] templateYLabel[2] worldwide , down from templateYValue[1] percent in the previous templateXLabel[0] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitleSubject[0] templateTitleSubject[0] in the templateTitle[7] as of September templateTitleDate[0] . During the survey , templateYValue[2] percent of templateYLabel[1] from templateTitleSubject[0] templateTitleSubject[0] stated templateXValue[3] templateXValue[3] templateXValue[3] templateXValue[3] and templateXValue[3] as a favorite templateTitle[2] activity .
templateTitleSubject[0] Inc. is a Canadian owned retail chain headquartered in Montreal . There were 1,225 templateTitleSubject[0] templateYLabel[1] in templateTitleSubject[1] as of February templateTitleDate[0] . templateXValue[0] had the highest templateYLabel[0] of templateYLabel[1] per templateTitle[5] , templateYValue[max] , and templateXValue[last] templateXValue[last] templateXValue[last] had just templateYValue[min] .
As of the fourth quarter of templateTitleDate[0] , it was found that templateYValue[max] percent of templateTitle[2] users in the templateTitleSubject[1] templateTitleSubject[1] accessed the photo sharing app templateXValue[0] templateXValue[0] a templateXValue[0] . templateTitleSubject[0] is no stranger to media templateYValue[max] out of the mobile platform used the website . The insurance templateXLabel[0] website was launched in 1997 .
In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitleSubject[0] was at approximately templateYValue[0] percent of the total labor force . The templateYLabel[0] templateYLabel[1] is the percentage of a country 's labor force that are without jobs but are available to work and actively seeking employment . templateTitleSubject[0] 's templateYLabel[0] templateYLabel[1] is above the worldwide templateYLabel[0] templateYLabel[1] , and compared to other Sub-Saharan African countries and other regions , templateTitleSubject[0] has a relatively average templateYLabel[1] of templateYLabel[0] .
This statistic shows the templateTitle[0] templateTitle[1] of templateTitleSubject[0] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the templateTitle[0] templateTitle[1] of templateTitleSubject[0] amounted to approximately templateYValue[6] templateYLabel[1] templateYLabel[0] . templateTitle[1] of templateTitleSubject[0] is the second largest nation in the world , in terms of area size , although its templateTitle[0] templateTitle[1] is low in numbers compared to other countries .
Cosmetics and templateTitle[1] are bought in larger quantities each passing templateXLabel[0] in the UK . Most recently , in September templateTitleDate[1] , the templateTitle[2] templateYLabel[2] templateTitle[4] of articles in these two categories reached an templateYLabel[0] templateYLabel[1] of templateYValue[0] as presented in the graph . This was lower than the templateTitle[4] recorded for the previous months of the year , but still higher than the figures recorded in templateTitleDate[0] , 2017 and the first half of 2018 .
The statistic shows the templateTitle[0] of the templateTitleSubject[0] templateTitleSubject[0] of templateTitleSubject[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] of templateTitleSubject[0] templateTitleSubject[0] was around templateYValue[0] templateYLabel[1] people .
The statistic shows the results of a templateTitle[0] among adult Americans who have one or more templateTitle[2] . The templateTitle[0] was conducted in templateTitleDate[0] , asking the templateYLabel[1] whether they ever regret getting any of their templateTitle[2] , or not . templateYValue[max] percent of templateYLabel[1] stated they do not regret getting any of their templateTitle[2] .
