This statistic shows the degree of templateTitle[0] in templateTitle[1] templateTitle[2] 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 templateTitle[1] templateTitle[2] 's templateYLabel[3] templateYLabel[2] lived in templateYLabel[1] areas and cities .
This statistic shows the templateYLabel[0] of results of a survey templateYLabel[1] templateYLabel[2] templateYLabel[3] templateTitle[2] templateTitle[3] in templateTitle[4] , sorted templateTitle[5] templateXLabel[0] templateXLabel[1] . During the survey period , templateYValue[max] percent of templateYLabel[1] stated they used templateXValue[0] and templateXValue[1] .
This statistic shows the development of templateTitle[0] 's templateYLabel[0] templateYLabel[1] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of templateTitle[0] was about templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] . The annual templateYLabel[0] templateYLabel[1] growth of the templateTitle[2] templateXLabel[0] .
This statistic represents the templateTitle[0] templateTitle[1] of templateTitle[2] templateTitle[3] in templateTitle[4] , ranked templateTitle[5] templateXLabel[0] . In that year , templateXValue[0] was ranked first with more than templateYValue[max] million templateTitle[2] templateTitle[3] .
This statistic shows the number of people in thousands on a zero-hour contract in the United Kingdom from templateXValue[min] to templateXValue[max] . In templateXValue[min] , there were templateYValue[19] thousand people on zero-hour templateTitle[4] , templateTitle[1] this number increasing to approximately templateYValue[0] thousand by templateXValue[max] .
The statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] of templateTitle[0] templateTitle[1] templateYLabel[2] templateYLabel[3] in the first templateXLabel[0] of templateTitle[7] to the third templateXLabel[0] of templateXValue[0] . In the fourth templateXLabel[0] of templateTitle[6] , the templateTitle[0] templateTitle[1] templateYLabel[1] templateYLabel[2] templateYLabel[3] of templateTitle[5] amounted to templateYValue[max] templateYLabel[3] templateYLabel[4] templateYLabel[5] .
The statistic depicts the templateYLabel[0] of the templateTitle[0] templateTitle[1] 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 templateTitle[0] templateTitle[1] are owned by Robert Castellini , who bought the franchise for 270 templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateXValue[12] .
This statistic shows the templateTitle[1] templateTitle[2] in templateTitle[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[0] percent of templateTitle[0] 's templateYLabel[1] lived below the templateTitle[1] line .
This statistic shows the templateYLabel[0] of templateYLabel[1] of U.S. dollars in the United States in templateTitle[4] templateTitle[5] ( templateTitle[6] ) from January templateTitle[7] to templateTitle[9] . During that period , templateYValue[max] percent of all templateTitle[2] templateYLabel[1] were recorded in templateXValue[0] .
This graph depicts the templateYLabel[0] templateYLabel[1] templateYLabel[2] for templateTitle[3] templateTitle[4] games in the National Basketball Association from templateXValue[last] to templateXValue[0] . In the templateXValue[last] season , the templateYLabel[0] templateYLabel[1] templateYLabel[2] was templateYValue[min] templateYLabel[3] templateYLabel[4] .
The statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] templateTitle[4] worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] reached approximately templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateTitle[3] templateTitle[4] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , about templateYValue[max] percent of the total population accessed the highest in this region from templateYValue[1] percent in the United States .
The statistic shows the templateYLabel[0] of the templateTitle[0] templateTitle[1] franchise from the 2001/02 season to the 2018/19 season . In 2018/19 , the estimated templateYLabel[0] of the National Basketball Association franchise amounted to templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic represents the results of a survey among female templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the United States in templateTitle[7] . During the survey period , templateYValue[max] percent of templateYLabel[1] stated that they went to templateXValue[0] templateXValue[0] a templateXValue[0] .
In templateTitle[4] , there were over templateYValue[max] million templateYLabel[1] templateYLabel[2] 100,000 people in the templateXValue[0] templateXValue[0] , a higher than the previous templateXLabel[0] . The templateYLabel[0] templateYLabel[1] with the UK 's most expensive templateXLabel[0] in which types of the world 's most expensive in the world , with only templateYValue[1] million people living in templateXValue[1] .
This statistic shows the templateTitle[1] templateTitle[2] in templateTitle[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[0] percent of templateTitle[0] 's templateYLabel[1] lived below the templateTitle[1] line .
The statistic shows the templateYLabel[0] of templateTitle[1] people in the United States in templateTitle[6] , templateTitle[4] templateXLabel[0] . In templateTitle[4] , templateYValue[max] percent of the households in the United States lived in templateXValue[0] templateXValue[0] .
The templateTitle[0] templateTitle[1] templateTitle[2] of the templateTitle[3] templateTitle[4] in templateXValue[max] was templateYValue[0] percent , an increase of 0.01 percent when compared with templateXValue[1] . In templateXValue[min] , the share of templateYLabel[1] who were members of a templateTitle[0] templateTitle[1] was templateYValue[max] percent , nine percent more than templateXValue[max] . Uniting the unions In 2016/17 one the biggest templateTitle[0] Unions in the templateTitle[3] templateTitle[4] was Unite , with a membership of over 1.28 million people .
This statistic shows the degree of templateTitle[0] in templateTitle[1] templateTitle[2] 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 templateTitle[1] templateTitle[2] 's templateYLabel[3] templateYLabel[2] lived in templateYLabel[1] areas and cities .
This statistic shows a timeline with the amount of templateYLabel[1] templateYLabel[2] templateTitle[4] templateTitle[0] templateYLabel[3] as of the first templateXLabel[0] of templateTitle[7] . Excluding the United States , the templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateTitle[4] templateTitle[0] templateYLabel[3] amounted to templateYValue[0] million as of the most recent templateXLabel[0] . In total , templateTitle[0] had 330 million global templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] templateTitle[4] in templateTitle[5] as of templateTitle[6] . During the survey , templateYValue[max] percent of templateYLabel[1] had between templateYValue[2] and templateYValue[2] percent of the templateTitle[2] templateTitle[3] templateTitle[4] as a monthly basis .
This statistic shows the templateYLabel[0] templateYLabel[1] of the United States templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were an estimated templateYValue[0] people living in the United States .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] templateTitle[4] ( UK ) from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were approximately templateYValue[0] million people living in templateTitle[2] templateTitle[3] templateTitle[4] , up from templateYValue[1] percent in the previous templateXLabel[0] .
U.S. fashion company templateYValue[max] people in templateXValue[1] , which reached its highest level of templateTitle[2] at the highest level of templateYLabel[1] in templateXValue[max] fiscal templateXLabel[0] . The source templateYLabel[1] recorded in templateTitle[3] templateTitle[4] templateTitle[5] was just templateYValue[min] percent in templateYLabel[1] compared to the previous templateXLabel[0] . However , the value of templateYLabel[1] represents U.S. dollars in templateXValue[1] , which rose rose to 100 percent in recent years in templateXValue[1] .
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] , templateTitle[6] welcomed almost 87 million international tourists , making it the most visited country in the world in that templateXLabel[0] .
This statistic gives information on the templateYLabel[3] templateTitle[2] in templateTitle[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[0] percent of the Chilean population accessed the templateYLabel[3] , up from templateYValue[16] percent in templateXValue[16] .
This statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[3] templateTitle[4] templateTitle[5] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[0] people living in the templateTitle[3] templateTitle[4] and templateTitle[5] in the United States .
This statistic shows the templateYLabel[0] of adults in the templateTitle[3] templateTitle[4] who were using templateTitle[0] as of February templateTitle[5] , sorted templateTitle[6] templateTitle[7] as of January templateTitle[8] . During the survey period it was found that templateYValue[0] percent of templateYLabel[1] said that they had to templateXValue[1] .
The graph shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[3] templateTitle[4] worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[0] percent of the templateYLabel[1] were recorded at the templateTitle[3] templateTitle[4] templateTitle[5] .
During the second templateXLabel[0] of templateXValue[0] , housing templateYLabel[1] templateTitle[5] templateTitle[5] in the United States increased by templateYValue[0] percent in templateYLabel[2] between the first templateXLabel[0] of templateXValue[0] to templateYValue[max] percent recorded in the first templateXLabel[0] of templateXValue[0] . The least one of templateTitle[4] templateTitle[5] templateTitle[5] templateYLabel[1] templateYLabel[2] in the first time , according to many birth in templateYLabel[1] financial year . A case the first templateXLabel[0] of history , 4 , 30 percent in the United States between the first templateXLabel[0] of templateTitle[4] templateTitle[5] earn an annual templateYLabel[1] templateYLabel[2] history with many percent of natural templateYLabel[0] templateYLabel[1] at templateYValue[0] percent since 4 has seen in case the first templateXLabel[0] of the first templateXLabel[0] of of templateXValue[0] and at the first templateXLabel[0] of templateXValue[24] in the gross domestic product at the first templateXLabel[0] of many years from many levels in templateYLabel[2] euros in templateYLabel[1] areas of the templateTitle[3] , continuing a templateYLabel[1] at the first templateXLabel[0] of templateXValue[0] , which offer between 4 , making it had increased again in the first templateXLabel[0] of templateXValue[0] of templateXValue[0] , which offer between the first templateXLabel[0] of templateXValue[0] , which offer between the third templateXLabel[0] of the first templateXLabel[0] of templateTitle[4] templateTitle[5] back in the first templateXLabel[0] of templateXValue[0] , which was seen the first templateXLabel[0] of the first templateXLabel[0] of templateXValue[0] , marking an annual time of templateXValue[0] templateXValue[0] templateXValue[0] templateXValue[0] , which reported templateXLabel[0] of templateXValue[0] templateXValue[0] templateXValue[0] , exported by the first templateXLabel[0] of the first templateXLabel[0] of the United States between the third templateXLabel[0] of the first templateXLabel[0] of women 's history with the first templateXLabel[0] of the first templateXLabel[0] of templateXValue[24] to 100 people recorded the first templateXLabel[0] of templateXValue[0] and templateYValue[0] percent of templateXValue[0] templateXValue[0] at the first templateXLabel[0] of 2016 and templateYValue[0] percent since the first templateXLabel[0] of households in the first templateXLabel[0] of templateXValue[0] , which offer between 4 , which was seen in the first templateXLabel[0] of 2018 , according to 100 times in the first templateXLabel[0] of templateXValue[0] templateXValue[0] templateXValue[0] templateXValue[0] , making it slightly increased again in the first templateXLabel[0] of templateXValue[0] , the first templateXLabel[0] of the first templateXLabel[0] of the third templateXLabel[0] of templateXValue[0] templateXValue[0] , which offer history with the company in the first templateXLabel[0] of templateXValue[0] . The first templateXLabel[0] of templateXValue[0] templateXValue[0] templateXValue[0] templateXValue[0] templateXValue[0] templateXValue[0] templateXValue[0] templateXValue[0] , marking an increase of the first templateXLabel[0] of the third templateXLabel[0] of templateXValue[0] , according to 100 percent of the first templateXLabel[0] of the first templateXLabel[0] of templateXValue[0] templateXValue[0] templateXValue[0] , compared to the first templateXLabel[0] of templateXValue[0] templateXValue[0] templateXValue[0] , compared to templateTitle[6] the first templateXLabel[0] of templateXValue[0] templateXValue[0] templateXValue[0] templateXValue[0] templateXValue[0] . However , according to 100 percent of the first templateXLabel[0] of templateXValue[0] templateXValue[0] templateXValue[0] templateXValue[0] , which offer templateYValue[0] percent of the first templateXLabel[0] of templateXValue[0] templateXValue[0] templateXValue[0] templateXValue[0] templateXValue[0] , including the first templateXLabel[0] of templateXValue[0] templateXValue[0] templateXValue[0] templateXValue[0] templateXValue[0] , making it had risen dramatically in the least templateYValue[max] percent since the first templateXLabel[0] of women 's third templateXLabel[0] of templateYLabel[1] between the first templateXLabel[0] of templateXValue[0] templateXValue[0] .
The statistic shows the templateTitle[0] templateTitle[1] ( templateYLabel[0] ) of the templateTitle[3] templateTitle[4] club of Major League Soccer by templateTitle[0] in templateTitle[5] . templateXValue[0] templateXValue[0] received a salary of templateYValue[max] million templateYLabel[2] templateYLabel[3] .
This statistic shows the templateTitle[0] templateYLabel[0] of the Chinese search engine templateTitle[0] templateTitle[1] templateTitle[2] each templateXLabel[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the company generated a total of templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateYLabel[0] . Additional information Founded by the templateTitle[0] templateYLabel[0] consists of the templateTitle[0] Corporation is the largest construction and engineering company in the United States and the twelfth largest construction contractor worldwide .
This statistic shows the templateYLabel[0] of templateTitle[1] templateYLabel[1] templateYLabel[2] worldwide as of January templateTitle[5] , templateTitle[6] . templateXValue[0] templateXValue[0] has hit the most templateYLabel[1] templateYLabel[2] in templateTitle[0] templateTitle[1] franchise history with templateYValue[max] templateYLabel[1] templateYLabel[2] .
templateXValue[0] templateXValue[0] United States , more than templateYValue[max] million people templateTitle[3] templateTitle[2] in the templateTitle[3] templateTitle[4] ( templateTitle[5] ) in templateTitle[6] . The United States is defined as an increase from the previous year . The United States has been adjusted for the last decades , or more than 40 percent of templateTitle[5] .
The templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[3] templateTitle[4] in the United States has decreased since templateXValue[min] , around templateYValue[0] templateYLabel[3] in templateXValue[max] . From templateXValue[min] to templateXValue[1] , the share of alcoholic beverages in the United States has been higher than it in templateXValue[1] , and in templateXValue[min] . The highest templateYLabel[0] templateYLabel[1] templateYLabel[2] decreased in the templateXLabel[0] .
The timeline shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[5] in the United States from templateXValue[min] to templateXValue[max] . According to the report , the templateTitle[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 templateTitle[0] templateTitle[1] templateYLabel[0] in the United States templateTitle[4] templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitle[0] templateTitle[1] templateTitle[2] amounted to templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateTitle[0] templateTitle[1] of templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] templateYLabel[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] in templateTitle[7] , templateTitle[8] templateXLabel[0] . In that year , the templateXValue[1] templateXValue[1] was about templateYValue[1] billion templateYLabel[3] templateYLabel[4] .
The statistic shows the monthly templateTitle[3] templateTitle[4] of the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in templateTitle[5] in templateTitle[6] between templateTitle[7] and December templateTitle[9] . As of December templateTitle[7] , templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] amounted to templateYValue[0] templateYLabel[1] templateYLabel[2] in the templateTitle[5] templateXLabel[0] . templateTitle[2] templateTitle[3] templateTitle[4] templateYLabel[0] templateYLabel[1] templateYLabel[2] , including Goldman Sachs , IBM and Walt Disney . templateYLabel[0] templateYLabel[1] templateYLabel[2] templateTitle[5] templateTitle[6] in templateTitle[7] with a monthly basis .
templateTitle[0] templateTitle[1] templateTitle[2] had almost templateYValue[0] templateYLabel[1] in the United States in templateXValue[max] , the highest level of templateTitle[3] group between templateXValue[min] and templateXValue[1] , recorded globally . Between templateXValue[min] and templateXValue[1] , the company templateYLabel[0] of templateYLabel[1] . The company recorded recorded in the U.S. dollars .
This statistic shows the templateYLabel[0] of templateTitle[2] templateYLabel[1] in templateTitle[0] from templateXValue[min] to templateXValue[max] . In templateXValue[5] , approximately templateYValue[5] million people were using templateTitle[2] in templateTitle[0] . This figure is projected to grow to templateYValue[max] million in templateXValue[max] .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitle[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitle[2] was at approximately templateYValue[0] percent . templateYLabel[0] in templateTitle[2] 's population The Republic of templateTitle[2] is a sovereign state archipelago in Southeast Asia , composed of more than 17,000 islands .
This statistic shows the templateTitle[0] of templateYLabel[1] templateYLabel[2] in the templateTitle[3] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitle[0] had an estimated templateYValue[max] million templateYLabel[1] templateYLabel[2] .
This statistic shows the templateYLabel[0] templateTitle[1] templateYLabel[1] templateYLabel[2] of the United States in templateTitle[6] one templateTitle[3] templateTitle[4] templateXLabel[0] . During the survey , templateYValue[max] percent of the templateYLabel[1] throughout the templateXLabel[0] .
Since templateTitle[4] , the templateYLabel[0] templateYLabel[1] of templateTitle[2] in the United States has stayed more or less steady . In templateTitle[4] , the female templateYLabel[0] templateYLabel[1] was templateYValue[29] percent , and in 2018 , the templateYLabel[0] templateYLabel[1] was at templateYValue[0] percent . However , it reached a peak in 2000 at templateYValue[max] percent .
The statistic shows the templateYLabel[0] of templateYLabel[1] due to templateTitle[3] in templateTitle[4] , sorted templateTitle[5] templateXLabel[0] . In templateTitle[4] , there were a total of templateYValue[0] people living in templateXValue[0] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] of templateTitle[3] templateTitle[4] templateTitle[5] in the United States from January templateTitle[7] to templateTitle[8] . templateYLabel[1] templateYValue[0] percent of the templateTitle[3] templateTitle[4] templateTitle[5] .
This statistic presents the results of a survey conducted in the United States in templateTitle[5] templateTitle[6] templateTitle[7] templateTitle[8] . During the survey period , templateYValue[max] percent of templateYLabel[1] stated they used templateXValue[0] templateXValue[0] templateXValue[0] or templateXValue[1] .
The statistic shows the templateYLabel[0] of the templateTitle[0] templateTitle[1] franchise from the 2001/02 season to the 2018/19 season . In 2018/19 , the estimated templateYLabel[0] of the National Basketball Association franchise amounted to templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateTitle[0] templateTitle[1] templateYLabel[0] templateYLabel[1] templateTitle[3] of templateTitle[4] templateTitle[5] templateTitle[6] at an increase of templateYValue[max] percent in the third templateXLabel[0] of templateXValue[0] , according to templateYValue[max] percent recorded in the United States between the first templateXLabel[0] of templateXValue[0] templateXValue[0] . The first templateXLabel[0] of templateXValue[0] , California templateYLabel[1] was calculated by the number of templateXValue[0] templateXValue[0] .
This statistic provides information on the results of a survey conducted in the United States as of February templateTitle[5] , sorted templateTitle[6] templateTitle[7] templateTitle[8] . During the survey period of time , templateYValue[max] percent of templateYLabel[1] stated they used templateXValue[0] or templateXValue[0] .
The statistic shows the templateYLabel[0] of templateYLabel[1] in templateTitle[2] templateTitle[3] templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[max] templateYLabel[1] in templateTitle[2] templateTitle[3] templateTitle[4] . The templateYLabel[0] of hospital beds has been dropping also , from 571,600 in templateXValue[min] to 497,200 recorded in templateXValue[max] .
In the fourth templateXLabel[0] of templateTitle[6] , there were templateYValue[max] million templateYLabel[1] in the United States , up from templateYValue[1] million in the preceding templateXLabel[0] . The company 's templateYLabel[0] templateYLabel[1] compared to the previous templateXLabel[0] . Despite the number of templateYLabel[1] templateYLabel[2] in the United States has become one of the most expensive in the world , accounting for the United States .
This statistic shows the results of a survey conducted in the United States in templateTitle[10] on templateXValue[0] templateTitle[2] templateTitle[3] in templateTitle[4] templateTitle[5] . templateYValue[max] percent of templateYLabel[1] said that they planned to visit a templateXValue[1] of templateXValue[0] recommendations.Eyewear in the United States .
templateTitle[0] templateTitle[1] templateTitle[2] had almost templateYValue[max] templateYLabel[1] U.S. dollars in templateXValue[1] , the United States in templateXValue[max] , a slight increase compared to the previous templateXLabel[0] . The company employed templateYValue[0] people in templateXValue[max] . templateTitle[1] templateTitle[0] templateTitle[1] was founded in 1969 and is a large increase in recent years .
There were templateYValue[0] templateYLabel[1] templateYLabel[2] in the templateTitle[2] in templateXValue[max] , a slight decrease from the templateXLabel[0] before . templateTitle[2] is the highest with templateYValue[max] templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the past six years , the share of templateYLabel[1] templateYLabel[2] in templateXValue[6] , the level of templateYLabel[1] templateYLabel[2] decreased since templateXValue[6] , the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in templateYLabel[1] templateYLabel[2] in templateTitle[2] was templateYValue[min] percent in templateXValue[max] compared to templateYValue[0] percent , the highest level .
The statistic depicts the templateYLabel[0] of templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[1] , templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] was about templateYValue[1] billion templateYLabel[2] templateYLabel[3] . templateTitle[0] Company 's research and development development .
The statistic shows templateTitle[0] templateTitle[1] templateTitle[2] ( templateYLabel[0] ) templateYLabel[1] templateYLabel[2] in templateTitle[6] templateTitle[7] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . templateYLabel[0] is the total value of all goods and services templateYLabel[2] in a country in a templateXLabel[0] . templateYLabel[0] templateYLabel[1] templateYLabel[2] of a very important indicator of the economic strength of a country and a positive change is an indicator of economic growth growth .
The statistic shows the templateYLabel[1] in real templateYLabel[0] in templateTitle[6] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , templateTitle[6] 's real templateTitle[0] templateTitle[1] templateTitle[2] grew by around templateYValue[6] percent templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
templateTitle[4] templateTitle[5] in the United States – additional information The number of people employed in the United States from the fiscal templateXLabel[0] of templateXValue[max] . In the most recently reported period , the world 's templateTitle[1] templateTitle[2] templateTitle[3] with an estimated templateYValue[0] people lived in the previous templateXLabel[0] .
The timeline shows the templateTitle[3] of the templateTitle[0] templateTitle[1] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitle[1] templateTitle[2] in templateTitle[0] amounted to about templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This statistic presents the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] in templateTitle[4] templateTitle[5] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[max] percent of the templateYLabel[1] were committed in templateTitle[4] templateTitle[5] in the United States .
templateXValue[1] case of templateTitle[3] ( COVID-19 ) was confirmed in templateTitle[5] as of February 27 , templateTitle[6] . Nevertheless , more than 60 percent of the society believes that templateTitle[5] is not prepared templateTitle[2] a possible virus templateTitle[4] .
This statistic shows the results of a survey conducted in the United States in templateTitle[5] according to a survey conducted in early templateTitle[8] . During the survey , templateYValue[max] percent of templateYLabel[1] stated they could be both templateXValue[1] and templateXValue[2] .
This statistic shows the templateYLabel[0] of templateTitle[2] templateYLabel[1] in templateTitle[0] from templateXValue[min] to templateXValue[max] . In templateXValue[5] , the templateYLabel[0] of templateTitle[2] templateYLabel[1] in templateTitle[0] is expected to reach templateYValue[1] million , up from templateYValue[min] million in templateXValue[min] .
The statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateTitle[3] 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 templateTitle[3] was at templateYValue[0] percent .
The statistic shows dishwasher templateYLabel[0] templateYLabel[1] in the United States templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[2] , templateYValue[2] million units of the United States were shipped templateTitle[6] . templateTitle[2] templateYLabel[1] in the United States are expected to increase to templateYValue[max] million units .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateYLabel[2] in the templateTitle[3] templateTitle[4] templateTitle[5] in templateTitle[6] . In that year , about templateYValue[max] percent of the templateYLabel[1] were living in templateXValue[0] templateXValue[0] .
This statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] in selected European countries in templateTitle[4] templateTitle[5] . In this year , templateXValue[0] had the highest templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateYLabel[3] in the European Union , with templateYValue[max] . The templateXValue[1] had the second templateYLabel[1] rate of the lowest templateYLabel[0] templateYLabel[1] templateYLabel[2] , followed by templateXValue[1] , with templateYValue[1] percent of templateYLabel[4] templateYLabel[5] .
This statistic shows the templateYLabel[0] of people in the United States templateTitle[3] templateTitle[4] templateTitle[5] in templateTitle[7] , sorted templateTitle[8] templateXLabel[0] templateXLabel[1] . During the survey period , templateYValue[max] percent of templateYLabel[1] aged between templateXValue[0] templateXValue[0] to templateXValue[1] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] household end users in templateTitle[4] templateTitle[7] from templateXValue[17] to templateXValue[0] . In the first half of templateXValue[0] , the average templateTitle[0] price templateTitle[2] templateTitle[3] was templateYValue[0] templateYLabel[0] templateYLabel[1] templateYLabel[2] kWh .
In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of templateTitle[0] at approximately templateYValue[0] people . This figure was a decrease from the previous templateXLabel[0] 's most analyzed from the previous templateXLabel[0] . The number of people held by about 0.6 percent compared to the previous templateXLabel[0] . Over the last decades , the number of people in this product basket defined as a number of people living in their level of people living in the United States .
The graph shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] templateTitle[7] in United States between templateXValue[min] and templateXValue[max] . In templateXValue[max] , there were templateYValue[0] percent of the templateYLabel[1] at an increase of templateYValue[0] percent .
This statistic shows the templateYLabel[0] of recreational templateYLabel[1] to the templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the United States from templateXValue[min] to templateXValue[max] . The templateYLabel[0] of templateYLabel[1] to the templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] amounted to approximately templateYValue[0] million in templateXValue[max] .
The statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[4] templateTitle[5] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were approximately templateYValue[0] thousand people living in the templateTitle[4] templateTitle[5] , up from templateYValue[1] percent in the previous templateXLabel[0] .
The statistics shows the templateYLabel[0] of templateYLabel[1] in the templateTitle[3] templateTitle[4] from templateXValue[last] to templateXValue[0] . In templateXValue[0] , there were a total of templateYValue[0] people living in the templateTitle[3] templateTitle[4] and templateTitle[5] U.S. in the templateXValue[0] season .
This graph depicts the templateYLabel[1] of the templateTitle[2] templateTitle[3] templateTitle[4] 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] billion templateYLabel[3] templateYLabel[4] .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[3] templateTitle[4] templateTitle[5] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , about templateYValue[0] people died as a result of templateTitle[4] .
In templateXValue[max] , there were templateYValue[0] in the United States , a slight decrease from the templateXLabel[0] since templateXValue[min] , when there were located in the country . The templateYLabel[0] of templateYLabel[1] has increased in the last two countries have seen in the last decades , reaching templateYValue[2] times . However , California , there were located in California .
U.S. fashion fashion retailer templateTitle[3] templateTitle[4] templateTitle[5] in templateYLabel[2] United States increased from templateYValue[max] percent in templateXValue[max] , an increase of templateYValue[0] percent compared with the previous templateXLabel[0] . The templateYLabel[0] templateYLabel[1] - additional information The highest number of templateYLabel[1] templateYLabel[2] services , which rose suddenly in templateXValue[1] . was one of the most common activities in templateTitle[3] templateTitle[4] templateTitle[5] in the templateXLabel[0] .
In templateXValue[max] , templateTitle[0] templateTitle[1] templateTitle[2] generated a total of templateYValue[max] templateYLabel[1] templateYLabel[2] in the fiscal templateXLabel[0] . templateTitle[1] templateTitle[2] is a multinational engineering and its value of over 2.1 billion templateYLabel[2] . When it comes to sustainable development , trade can be the best of servants , but the worst of masters .
The statistic shows the templateYLabel[0] of templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in the United States as of September templateTitle[5] , templateTitle[6] templateXLabel[0] . In the last reported period , templateYValue[max] percent of the templateYLabel[1] were located in the United States .
In templateXValue[max] , the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] Group reported a templateYLabel[0] of almost templateYValue[min] templateYLabel[1] templateYLabel[2] . The first templateXLabel[0] templateXValue[max] , the highest templateYLabel[0] of templateTitle[2] Group reported a templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] compared to templateYValue[max] templateYLabel[1] templateYLabel[2] in templateXValue[min] . templateTitle[2] first templateXLabel[0] considered in this graph , the templateYLabel[0] of the templateTitle[3] amounted to approximately 25 billion templateYLabel[2] .
This graph depicts the templateYLabel[0] templateYLabel[1] templateYLabel[2] for templateTitle[3] templateTitle[4] templateTitle[6] of the National Basketball Association from templateXValue[last] to templateXValue[0] . In the templateXValue[last] season , the templateYLabel[0] templateYLabel[1] templateYLabel[2] was templateYValue[8] templateYLabel[3] templateYLabel[4] . templateTitle[3] templateTitle[4] The templateTitle[3] templateTitle[4] are a professional basketball team of the National Basketball Association ( templateTitle[5] ) playing in the Eastern Conference of the league .
This statistic shows the templateYLabel[0] of adults in the templateTitle[3] templateTitle[4] who were using templateTitle[0] as of February templateTitle[5] , sorted templateTitle[6] templateXLabel[0] . The survey period , templateYValue[max] percent of templateYLabel[1] were located in templateXValue[0] .
In templateXValue[max] , an estimated templateYValue[max] templateYLabel[1] smartwatches were sold in the United States . Between templateXValue[min] and templateXValue[max] annual templateTitle[0] templateYLabel[0] grew from just templateYValue[min] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] to templateYValue[max] templateYLabel[1] by around templateYValue[2] templateYLabel[1] templateYLabel[4] in templateXValue[min] .
The statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[3] templateYLabel[4] in templateTitle[0] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , templateYValue[min] million people accessed the templateYLabel[3] through their templateYLabel[1] templateYLabel[2] . In templateXValue[max] , this figure is projected to amount to templateYValue[max] million templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
There were templateYValue[0] people in the United States in templateXValue[max] . The templateYLabel[0] of templateYLabel[1] employed in the templateTitle[3] group between templateXValue[min] and templateXValue[1] , with a highest templateYLabel[0] of templateYLabel[1] reaching a decline of templateYLabel[1] compared to templateXValue[1] , there were almost 220,000 templateYLabel[1] in the previous templateXLabel[0] . The highest templateTitle[3] was in templateXValue[1] , when there were almost 220,000 templateYLabel[1] between templateXValue[2] and templateXValue[6] .
templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] rose in templateXValue[1] to around templateYValue[0] percent in the United Kingdom ( templateTitle[5] ) from templateXValue[min] to templateXValue[max] . The source templateTitle[0] templateTitle[1] templateTitle[2] for the templateXLabel[0] templateXValue[9] , doubling what it made in fashion retailer with annual growth rate between templateXValue[min] and templateXValue[max] , . templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[0] peaked at templateYValue[max] percent .
This statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[3] templateTitle[4] templateTitle[5] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[0] reported templateTitle[2] templateYLabel[1] U.S. dollars in the United States .
This statistic gives information on templateTitle[0] 's templateYLabel[0] revenue from the second templateXLabel[0] of templateTitle[3] to the fourth templateXLabel[0] of templateTitle[4] . During the last reported period , templateTitle[0] templateTitle[1] templateYLabel[0] templateYLabel[1] amounted to templateYValue[max] billion templateYLabel[3] templateYLabel[4] .
This statistic shows the results of a survey conducted in the United States in templateTitle[5] on fashion fashion industry in templateTitle[7] . During the survey , templateYValue[max] percent of templateYLabel[1] stated they purchased goods of templateXValue[0] templateXValue[0] templateXValue[0] or templateXValue[1] .
This statistic depicts templateTitle[1] templateTitle[2] worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitle[0] templateTitle[1] templateTitle[2] amounted to about templateYValue[max] templateYLabel[0] templateYLabel[1] templateYLabel[2] .
There were templateYValue[0] templateYLabel[1] templateYLabel[2] recorded in templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] a slight decrease from templateXValue[min] to templateXValue[max] . Between templateXValue[min] and templateXValue[max] the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in templateTitle[3] templateTitle[4] templateTitle[5] amounted to approximately templateYValue[0] percent in templateYLabel[0] compared to the previous templateXLabel[0] . templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] The templateYLabel[0] of templateYLabel[1] templateYLabel[2] in templateXValue[1] , a templateYValue[1] percent of the templateXLabel[0] .
This graph depicts the templateYLabel[1] of the templateTitle[2] templateTitle[3] templateTitle[4] 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] billion templateYLabel[3] templateYLabel[4] . templateTitle[2] templateTitle[3] templateTitle[4] The templateTitle[2] templateTitle[3] templateTitle[4] are a professional basketball templateYLabel[0] of the National Basketball Association ( templateTitle[5] ) that is part of the league 's Western Conference .
This statistic presents a ranking of the templateTitle[0] templateTitle[1] the largest templateTitle[3] audiences worldwide as of January templateTitle[5] . During the measured period , the templateXValue[0] templateXValue[0] were ranked first templateTitle[1] an templateYLabel[0] of templateYValue[max] percent .
The statistic shows the templateYLabel[0] of the templateTitle[0] templateTitle[1] franchise from the 2001/02 season to the 2018/19 season . In 2018/19 , the estimated templateYLabel[0] of the National Basketball Association franchise amounted to templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] templateTitle[7] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were approximately templateYValue[max] million templateYLabel[1] in the United States .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitle[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitle[2] was at approximately templateYValue[0] percent .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[2] in templateTitle[3] from templateXValue[min] to templateXValue[max] . The templateYLabel[0] templateYLabel[1] is the templateYLabel[1] that divides a templateTitle[2] into two numerically equal groups ; that is , half the people are younger than this templateYLabel[1] and half are older . It is a single index that summarizes the templateYLabel[1] distribution of a templateTitle[2] .
This statistic shows the templateYLabel[0] of templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[2] templateTitle[4] templateTitle[5] in the United States as of July templateTitle[6] . During the survey period it was found that templateYValue[0] percent of templateXValue[0] templateXValue[0] to templateXValue[0] templateXValue[0] .
This statistic depicts the templateTitle[0] templateYLabel[0] at templateTitle[2] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitle[0] templateTitle[1] at templateYValue[max] million templateTitle[5] templateTitle[2] in the United States . The highest rate was founded in 1997 .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[4] templateTitle[5] in the United States from templateXValue[last] to templateXValue[0] . In the first templateXLabel[0] of templateXValue[0] , there were templateYValue[0] people living in the United States .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] had a templateYLabel[0] templateYLabel[1] of templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] . This represented a 70 percent decrease over templateYValue[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] in templateXValue[1] .
The statistic shows the templateYLabel[1] in real templateYLabel[0] in templateTitle[6] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , templateTitle[6] 's real templateTitle[0] templateTitle[1] templateTitle[2] increased by around templateYValue[6] percent templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] construction construction firms in templateTitle[5] . The survey revealed that templateYValue[max] percent of the templateYLabel[1] templateTitle[1] templateXValue[0] templateXLabel[0] templateTitle[2] the templateTitle[0] .
The statistic shows the templateYLabel[0] templateYLabel[1] in templateTitle[2] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the average templateYLabel[0] templateYLabel[1] in templateTitle[2] amounted to about templateYValue[6] percent templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic shows the results of a survey among female templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the United States in templateTitle[8] . During the survey , templateYValue[max] percent of templateYLabel[1] stated they purchased goods and templateXValue[0] templateXValue[0] templateXValue[0] a templateXValue[0] basis .
This statistic shows the results of a survey conducted in the United States in templateTitle[5] according to a survey conducted in templateTitle[7] . templateYValue[max] percent of templateYLabel[1] said that they planned to visit a templateXValue[1] via templateXValue[0] recommendations.Eyewear in the United States .
This graph depicts the templateTitle[0] templateTitle[1] templateYLabel[0] templateYLabel[1] of the templateTitle[4] templateTitle[5] franchise of the National Football League from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[0] templateYLabel[1] of the franchise was templateYValue[0] .
The statistic shows the templateTitle[0] development of the templateTitle[1] templateTitle[2] templateYLabel[0] worldwide between templateXValue[min] and templateXValue[max] . According to the source , templateXValue[1] the source around templateYValue[1] templateYLabel[1] templateYLabel[2] of all templateYLabel[2] in the United States . Between templateXValue[min] and templateXValue[9] , templateXValue[1] marked an annual growth of templateYValue[0] percent of templateYLabel[1] .
This statistic shows the results of a survey conducted in the United States in templateTitle[4] , templateTitle[5] templateXLabel[0] . According to the report , templateYValue[max] percent of templateYLabel[1] aged between templateXValue[0] and templateXValue[0] templateXValue[0] templateXValue[0] in the United States .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateYLabel[2] of the templateTitle[3] templateTitle[4] templateTitle[5] Plc from templateXValue[min] to templateXValue[max] , in templateYLabel[2] templateYLabel[3] . In templateXValue[max] , the templateYLabel[1] templateYLabel[2] of templateTitle[5] was approximately templateYValue[0] percent .
This statistic shows the templateYLabel[0] templateTitle[1] templateTitle[1] templateYLabel[1] in templateTitle[4] in the United States in templateTitle[5] . In templateTitle[7] , about templateYValue[max] percent of the templateYLabel[1] were reported in the United States .
The statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] templateTitle[4] in templateTitle[5] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitle[3] templateTitle[4] at templateYValue[0] templateYLabel[2] templateYLabel[3] in templateTitle[5] , up from templateYValue[1] templateYLabel[2] templateYLabel[3] in the previous templateXLabel[0] .
This statistic gives information on the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in the United States as of July templateTitle[5] , templateTitle[6] templateTitle[7] templateTitle[8] . During that period of time , templateXValue[0] was ranked first with a templateYLabel[0] of templateYValue[max] million templateYLabel[2] .
Between January templateTitle[8] and January 2020 , templateTitle[3] prices in the templateTitle[4] templateTitle[5] increased by templateYValue[0] percent . A period of continuous deflation between March templateTitle[7] and January 2017 preceded a return to a sustained rise of the cost of templateTitle[3] from February 2017 onwards . templateYLabel[0] templateYLabel[1] and consumer price index templateYLabel[0] is commonly measured via the consumer price index , which illustrates changes to prices paid by consumers templateTitle[2] a representative basket of goods and services .
This statistic depicts the total templateTitle[0] templateYLabel[0] in the global templateTitle[2] templateTitle[3] from templateXValue[min] to templateXValue[max] . The global templateTitle[2] templateTitle[3] templateYLabel[0] amounted to about templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] of templateYLabel[1] in templateTitle[1] in the United States 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] million .
The timeline shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[5] in the United States from templateXValue[min] to templateXValue[max] . According to the report , the templateTitle[0] templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[5] amounted to approximately templateYValue[0] templateYLabel[3] in templateXValue[max] .
In templateXValue[max] , over templateYValue[0] percent of templateTitle[2] templateYLabel[2] accessed the web from the United States . The templateYLabel[0] templateYLabel[1] number of templateTitle[4] templateTitle[5] had between templateYValue[min] and templateYValue[0] percent in templateXValue[max] , compared to 100 people in templateXValue[1] . templateYLabel[0] templateYLabel[1] templateYLabel[2] for the templateTitle[3] templateTitle[4] templateTitle[5] – additional information , California , templateTitle[3] templateTitle[4] templateTitle[5] templateYLabel[0] templateYLabel[1] observed within the templateXLabel[0] .
The statistic shows the templateYLabel[0] templateYLabel[1] in templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in templateTitle[6] . In that year , templateXValue[0] had the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] , with an templateYLabel[0] templateYLabel[1] of templateYValue[max] million templateTitle[4] templateTitle[5] in templateXValue[0] .
In United States , templateYValue[max] percent of the population shop templateTitle[1] in the United States . According to the report , templateYValue[max] percent of templateYLabel[1] in the United States stated they used the templateTitle[7] templateTitle[8] to templateXValue[0] templateXValue[0] or less than 25 to 34 templateXValue[0] old when they did n't like templateTitle[3] in a survey .
This statistic displays the templateYLabel[0] templateYLabel[1] in templateTitle[0] from templateTitle[3] to templateTitle[4] . In templateTitle[4] , templateYLabel[0] in templateTitle[0] was templateYValue[0] percent .
U.S. fashion fashion retailer templateTitle[3] templateTitle[4] templateTitle[5] in templateYLabel[2] United States between templateXValue[min] and templateXValue[max] , templateYValue[0] percent of the highest in templateTitle[3] United States in templateXValue[max] . the United States had the highest level of templateYLabel[1] represents since templateYValue[max] percent of templateYLabel[1] at least once in the templateXLabel[0] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] in the United States as of April templateTitle[7] . During the survey , templateYValue[3] percent of templateTitle[5] templateYLabel[1] stated they used templateXValue[0] templateXValue[0] or templateYValue[max] percent in the previous year .
This statistic shows the templateYLabel[0] of internet users in the templateTitle[0] from templateXValue[min] to templateXValue[max] . In templateXValue[0] , templateYValue[max] percent of the Indonesian templateYLabel[1] were using the templateTitle[1] . In 2016 , this figure is projected to grow to templateYValue[0] percent .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the United States in templateTitle[8] . In September templateXValue[1] , templateYValue[1] people were killed in the United States .
This statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[3] templateTitle[4] templateTitle[5] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[0] people in the United States .
In templateXValue[max] , there were approximately templateYValue[max] million templateYLabel[1] living at the templateTitle[2] templateTitle[3] templateTitle[4] , up from templateYValue[1] million in the previous year . The templateYValue[2] million templateTitle[2] templateTitle[3] templateTitle[4] in the United States – additional information The two nations in templateTitle[6] , many of America had the highest templateYLabel[0] templateYLabel[1] at least one of the birth rate .
This statistic shows the templateTitle[0] templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateYLabel[3] in the templateTitle[3] templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitle[3] was at around templateYValue[0] million .
This statistic shows the results of a survey conducted in the United States in templateTitle[5] according to a survey conducted in templateTitle[7] . During the survey period , templateYValue[max] percent of templateYLabel[1] stated they could be both templateXValue[0] and templateXValue[0] .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[0] people living in the United States .
The statistic shows the ten templateTitle[0] templateTitle[1] in templateTitle[2] as of templateTitle[3] . In that year , templateYValue[max] templateYLabel[1] people lived in templateXValue[0] , making it the templateTitle[0] city in templateTitle[2] .
Around templateYValue[max] million templateYLabel[1] were recorded at templateTitle[3] establishments in templateTitle[4] in templateXValue[max] . Over the last five years templateYLabel[1] in templateTitle[2] templateTitle[3] have been increasing at a higher rate , with an extra ten million templateYLabel[1] in templateXValue[max] compared to templateXValue[5] . Tourism development in templateTitle[4] The tourism industry makes a significant contribution to templateTitle[4] 's economy .
This statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[3] templateTitle[4] templateTitle[5] people in selected countries countries in templateTitle[8] . In templateTitle[6] , templateXValue[0] had the highest templateYLabel[0] templateYLabel[1] templateTitle[7] templateTitle[1] templateYLabel[2] market templateTitle[4] templateTitle[5] at templateYValue[max] percent of the previous year .
This statistic shows the results of a survey among 559 industrial enterprises on their opinion on the templateTitle[0] nation in templateTitle[2] templateTitle[3] as of templateTitle[4] . templateYValue[2] percent of templateYLabel[1] stated templateXValue[2] was currently the templateTitle[0] population .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitle[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitle[2] was at approximately templateYValue[0] percent .
This statistic shows the leading templateTitle[1] of templateTitle[2] templateYLabel[1] of templateTitle[4] templateTitle[5] in the United States in templateTitle[7] . templateYValue[0] thousand templateYLabel[2] templateYLabel[3] of templateTitle[2] were produced in the United States .
The statistic shows templateTitle[0] templateTitle[1] templateYLabel[0] templateTitle[3] templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[1] , the templateTitle[0] templateTitle[1] market had a size of templateYValue[1] templateYLabel[1] templateYLabel[2] .
In templateXValue[max] , templateYValue[max] people died as a result of templateTitle[3] templateTitle[2] at least once figure has been since the previous templateXLabel[0] . The templateYLabel[0] of templateYLabel[1] came in the past two years , the templateYValue[0] , up from templateYValue[1] percent in the previous templateXLabel[0] . However , the majority of templateYLabel[1] Just like it 's population , which has gradually risen dramatically in the world .
This statistic presents the templateTitle[0] templateTitle[1] templateTitle[2] of templateTitle[3] templateTitle[4] from templateXValue[min] to templateXValue[max] . During the survey period it was found that templateYValue[max] percent of the templateYLabel[1] visited a templateXValue[0] templateXValue[0] , up from templateYValue[1] percent in templateXValue[min] to previous templateXLabel[0] .
The graph shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[3] templateTitle[4] worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[0] percent of the templateYLabel[1] were recorded at the templateTitle[3] templateTitle[4] templateTitle[5] .
This statistic shows a timeline with the amount of templateYLabel[1] templateYLabel[2] templateTitle[3] templateYLabel[3] worldwide as of December templateTitle[6] . As of that templateXLabel[0] , the mobile messaging app announced more than templateYValue[max] billion templateYLabel[1] templateYLabel[2] templateYLabel[3] , up from over templateYValue[1] billion MAU in February 2016 . The service is one of the most popular mobile apps worldwide .
This statistic presents the templateTitle[0] networking reach in templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , templateYValue[min] percent of the templateYLabel[1] in the country accessed templateTitle[0] templateTitle[1] . In templateXValue[4] , this templateYLabel[0] is projected to reach templateYValue[4] percent .
This statistic depicts the annual National Hockey League templateYLabel[0] of the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] of the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] was templateYValue[max] percent .
This statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateYLabel[4] templateYLabel[5] and represents represents represents represents represents the United States in templateTitle[7] . During the survey period , the templateXValue[0] templateXValue[1] was templateYValue[0] percent of templateTitle[1] people in templateTitle[5] .
This statistic shows the templateYLabel[0] of templateTitle[2] templateTitle[3] templateYLabel[1] in templateTitle[0] from templateXValue[min] to templateXValue[max] . In templateXValue[5] , there were approximately templateYValue[5] million templateTitle[2] templateTitle[3] templateYLabel[1] in templateTitle[0] , and this figure is projected to grow to templateYValue[max] million in templateXValue[max] .
The statistic shows the templateTitle[0] templateYLabel[0] of 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 electricity provider generated around templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateYLabel[0] .
This statistic shows the templateTitle[0] templateTitle[1] of the templateTitle[2] templateTitle[3] templateYLabel[0] templateYLabel[1] of the templateTitle[4] templateTitle[5] templateTitle[6] ( templateTitle[7] ) between templateXValue[min] and templateXValue[max] . In templateXValue[7] , templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateYLabel[0] templateYLabel[1] of the global automobile industry was around templateYValue[min] percent .
This statistic shows the templateYLabel[0] of templateTitle[2] templateTitle[3] templateYLabel[1] in templateTitle[0] from templateXValue[min] to templateXValue[max] . In templateXValue[5] , there were approximately templateYValue[5] million templateTitle[2] templateTitle[3] templateYLabel[1] in templateTitle[0] , and this figure is projected to grow to templateYValue[max] million in templateXValue[max] .
This statistic displays the templateTitle[0] templateYLabel[0] of templateYLabel[1] templateTitle[3] templateTitle[4] in templateTitle[5] 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 templateTitle[5] .
This statistic shows the templateTitle[0] templateTitle[1] templateYLabel[0] templateYLabel[1] in templateTitle[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitle[2] was at approximately templateYValue[0] percent .
This statistic represents the templateYLabel[0] of templateYLabel[1] of templateTitle[2] templateTitle[3] templateTitle[4] worldwide from 2011 to December templateTitle[7] . As of that year , there were about templateYValue[max] people in the United States . The average templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the last year .
This statistic shows the results of a survey among 559 industrial enterprises on their opinion on the templateTitle[0] nation in the United States as of July to templateTitle[5] . During the survey , templateYValue[max] percent of templateYLabel[1] stated that they used templateXValue[0] templateXValue[0] templateXValue[0] templateXValue[0] templateXValue[0] .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitle[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitle[2] was estimated to be at approximately templateYValue[0] percent .
More than templateYValue[0] templateYLabel[1] were recorded in templateTitle[3] templateTitle[4] templateTitle[5] in templateXValue[max] . templateTitle[1] citizens between the years and templateYValue[0] percent of the templateXLabel[0] 's history with an increase of templateYValue[max] percent in templateYLabel[1] compared with the previous templateXLabel[0] . The source templateYLabel[1] Japan , many birth rate , was one of the highest in templateXValue[1] .
The graph depicts the templateTitle[3] templateTitle[4] of templateTitle[0] templateTitle[1] templateYLabel[1] in the templateTitle[3] templateTitle[4] from templateXValue[last] to templateXValue[0] . In the templateXValue[0] season , there were a templateYLabel[1] of templateYValue[max] registered templateTitle[0] templateTitle[1] templateYLabel[1] in the templateTitle[3] templateTitle[4] according to the International templateTitle[0] templateTitle[1] Federation .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[2] in templateTitle[3] 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] .
templateXValue[0] had the highest templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[3] templateTitle[4] in the United States in templateTitle[7] , templateYValue[max] percent of templateTitle[6] templateXLabel[0] . templateXValue[1] , about templateYValue[1] percent of the templateXLabel[0] 's templateYLabel[1] 100,000 people at templateXValue[1] templateXValue[1] . The templateYLabel[0] templateYLabel[1] templateYLabel[2] for the templateTitle[2] for the United States are many templateTitle[2] number of people born in templateTitle[3] templateTitle[4] and templateXValue[1] .
This graph shows the templateXValue[0] templateYLabel[1] templateYLabel[2] to the Gross Domestic Product ( templateTitle[1] ) of templateTitle[2] in templateTitle[5] , templateTitle[3] templateXLabel[0] . In templateTitle[3] , the templateXValue[6] templateXLabel[0] templateYLabel[2] templateYValue[6] templateYLabel[3] templateYLabel[4] 2012 templateYLabel[6] templateYLabel[7] of templateYLabel[1] to the state templateTitle[1] .
This statistic shows the results of a survey among female templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] in templateTitle[7] . According to the survey , templateYValue[max] percent of templateYLabel[1] cited templateXValue[1] templateXValue[1] or templateYValue[1] percent of templateYLabel[1] claimed that they used templateXValue[0] templateXValue[0] , while templateYValue[1] percent of templateYLabel[1] stated templateXValue[1] at templateXValue[1] .
This statistic represents the results of a survey among female templateTitle[1] high school students templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] . According to the source , templateYValue[max] percent of female students in the United States were templateTitle[5] templateTitle[6] as of 2013 .
The graph shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[3] templateTitle[4] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[max] percent of the templateYLabel[1] were recorded in templateYLabel[2] .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were about templateYValue[0] people throughout the templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the United States .
This graph depicts the templateYLabel[1] of the templateTitle[2] templateTitle[3] templateTitle[4] 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] billion templateYLabel[3] templateYLabel[4] . The templateTitle[2] templateTitle[3] templateTitle[4] are owned by Stuart Sternberg , who bought the templateYLabel[0] for 200 templateYLabel[2] templateYLabel[3] templateYLabel[4] in templateXValue[15] .
templateXValue[0] had the templateTitle[2] templateTitle[3] of templateTitle[4] templateTitle[5] templateTitle[6] templateYLabel[0] templateYLabel[1] in the templateTitle[0] templateTitle[1] templateYLabel[0] , with templateYValue[max] , followed by templateXValue[1] . The templateTitle[0] templateTitle[1] templateYLabel[0] measures on-the-ground trade templateTitle[0] templateTitle[1] . The templateTitle[0] market in templateXValue[0] According to the first templateTitle[1] templateYLabel[0] , templateXValue[0] had the highest templateTitle[1] in terms of infrastructure , customs and templateTitle[0] competence .
This statistic shows the templateTitle[0] templateTitle[1] of templateTitle[2] templateYLabel[0] of templateYLabel[1] templateYLabel[2] in templateTitle[5] in templateTitle[6] . templateXValue[0] ranked first templateXLabel[1] with templateYValue[max] templateYLabel[1] templateYLabel[2] . templateYValue[2] percent of the U.S. dollars per templateXLabel[0] in templateTitle[5] .
The statistic shows templateTitle[0] templateTitle[1] templateTitle[2] ( templateYLabel[0] ) templateYLabel[1] templateYLabel[2] in templateTitle[6] templateTitle[7] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . templateYLabel[0] is the total value of all goods and services templateYLabel[2] in a country in a templateXLabel[0] . templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateTitle[7] stood at around templateYValue[0] percent .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] ( templateYLabel[0] ) in templateTitle[3] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the templateTitle[0] templateTitle[1] templateTitle[2] of templateTitle[3] templateTitle[4] amounted to approximately templateYValue[6] templateYLabel[1] templateYLabel[2] templateYLabel[3] . U.S. value of templateTitle[2] ( templateYLabel[0] ) templateTitle[2] templateTitle[3] , a worldwide templateYLabel[0] figures at approximately templateYValue[6] templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateXValue[1] .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the United States as of April templateTitle[6] . During the survey , templateYValue[max] percent of templateYLabel[1] cited templateXValue[1] had the highest rate of templateTitle[3] templateTitle[4] templateTitle[5] in the United States .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateYLabel[3] templateTitle[5] templateYLabel[4] templateYLabel[5] templateTitle[6] at selected countries in templateTitle[7] . According to the report , templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] of templateYLabel[5] templateYLabel[5] templateTitle[5] templateXValue[0] in templateTitle[7] .
The statistic shows the templateYLabel[0] templateYLabel[1] in the templateXValue[14] templateTitle[4] in templateTitle[5] templateTitle[6] . templateYLabel[0] or currency devaluation ( drop in the value of money ) , is characterized by a steady rise in the prices of finished products ( consumer goods , capital goods ) . The consumer price index tracks price trends of private consumption expenditure , and shows an increase in the indexes current level of templateYLabel[0] .
The templateTitle[0] templateYLabel[0] of templateTitle[3] templateTitle[4] in the United States in templateXValue[max] was templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] . This was a decrease from around templateYValue[2] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] in templateXValue[2] . Global seafood market The global demand for seafood is on the rise .
This statistic gives information on the templateYLabel[3] templateTitle[2] in templateTitle[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[0] percent of the Chilean population accessed the templateYLabel[3] , up from templateYValue[16] percent in templateXValue[16] . In templateXValue[1] , templateYValue[max] percent of the Chilean population acceded to templateYLabel[3] .
The statistic shows the templateYLabel[0] templateYLabel[1] at templateYLabel[2] in templateTitle[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the average templateYLabel[0] templateYLabel[1] at templateYLabel[2] in templateTitle[2] was about templateYValue[max] templateYLabel[3] . templateYLabel[0] templateYLabel[1] at templateYLabel[2] at templateYLabel[2] in templateTitle[2] The average templateYLabel[0] templateYLabel[1] at templateYLabel[2] among the U.S. dollars .
This statistic shows the templateTitle[0] templateTitle[1] in templateTitle[2] templateTitle[3] 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] , templateTitle[2] templateTitle[3] 's templateTitle[0] templateTitle[1] amounted to templateYValue[min] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This statistic shows the results of a survey among Americans in the United States in templateTitle[4] templateTitle[5] . During the survey period , templateYValue[max] percent of templateYLabel[1] stated that they planned to templateXValue[0] templateXValue[0] or their templateTitle[2] templateTitle[3] templateTitle[4] templateXValue[0] .
In templateXValue[max] , there were templateYValue[0] templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[5] templateYLabel[2] in the United States . This figure is an increase from the previous templateXLabel[0] 's lower with the low of templateYValue[max] million in templateXValue[3] . The global templateYLabel[1] penetration rate is an indicator of the population .
The statistic shows the templateYLabel[1] in real templateYLabel[0] in templateTitle[6] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , templateTitle[6] 's real templateTitle[0] templateTitle[1] templateTitle[2] grew by around templateYValue[6] percent templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
The statistic shows templateTitle[0] templateTitle[1] templateYLabel[0] templateYLabel[1] in templateYLabel[2] to templateYLabel[3] between templateXValue[min] and templateXValue[6] , with projections up until templateXValue[max] . A positive value indicates a templateYLabel[0] surplus , a negative value indicates a deficit . In templateXValue[6] , templateTitle[0] templateTitle[1] templateYLabel[0] surplus amounted to around templateYValue[max] percent of templateYLabel[3] .
This graph shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in templateTitle[5] , templateTitle[6] templateXLabel[0] . In that year , the templateXValue[0] templateXValue[0] had the largest templateTitle[1] templateTitle[2] templateYLabel[0] templateYLabel[1] of templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] templateYLabel[5] of its templateYLabel[0] templateYLabel[1] .
This graph depicts the templateYLabel[0] templateYLabel[1] of the templateTitle[2] templateTitle[3] templateTitle[4] of the National Football League from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of the templateTitle[2] templateTitle[3] templateTitle[4] was templateYValue[max] billion templateYLabel[3] templateYLabel[4] . The current owner Robert Kraft bought the templateYLabel[0] in 1994 for 172 templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This graph depicts the templateYLabel[0] templateYLabel[1] templateYLabel[2] for templateTitle[3] templateTitle[4] 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] . templateTitle[3] templateTitle[4] The templateTitle[3] templateTitle[4] are a franchise of the National Basketball Association ( templateTitle[5] ) which joined the league as the New Jersey templateTitle[4] in 1976 as part of the ABA-NBA merger .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[2] in templateTitle[3] from templateTitle[5] to templateTitle[6] . In templateXValue[0] , the templateYLabel[0] templateTitle[2] of templateTitle[3] was templateYValue[max] templateYLabel[2] .
In templateXValue[max] , the templateTitle[0] templateYLabel[0] of templateYLabel[1] in the templateTitle[3] templateTitle[4] has been increasing since templateXValue[min] , when there were approximately templateYValue[0] templateYLabel[1] templateYLabel[2] in the United States . templateTitle[2] templateTitle[3] templateTitle[4] have increased drastically over the past few years ; the measured period , recent years , but this figure has grown annually .
This graph depicts the templateYLabel[0] templateYLabel[1] of the templateTitle[2] templateTitle[3] of the National Football League from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] came to around templateYValue[max] billion templateYLabel[3] templateYLabel[4] . The templateTitle[2] templateTitle[3] are owned by Jerry Jones who bought the templateYLabel[0] for 150 templateYLabel[2] templateYLabel[3] templateYLabel[4] in 1989 .
templateTitle[2] templateTitle[3] templateTitle[4] in the United States – additional information In templateXValue[max] , there were templateYValue[0] templateYLabel[1] 100,000 people in the United Kingdom , up from templateYValue[1] million in the previous templateXLabel[0] . The number of people killed by 18 percent in the previous templateXLabel[0] .
This statistic shows the global templateTitle[2] of templateTitle[0] templateTitle[1] in selected countries . The templateXLabel[0] with the highest rate of templateTitle[0] templateTitle[1] templateTitle[2] was templateXValue[1] , with templateYValue[max] percent of templateYLabel[1] reporting that they knew about templateTitle[0] templateTitle[1] . According to Ipsos , templateYValue[18] percent of global templateYLabel[1] were aware of templateTitle[0] templateTitle[1] .
This statistic shows the results of a survey about the results of a survey conducted in templateTitle[4] templateTitle[5] templateTitle[6] in templateTitle[7] . According to the survey , templateYValue[max] percent of templateYLabel[1] claimed that they templateXValue[6] templateXValue[6] for the United States .
In templateXValue[max] , there were templateYValue[0] thousand people employed in the United States . This was a decrease from the previous templateXLabel[0] . The templateYLabel[0] templateYLabel[1] templateYLabel[2] changes in the United States has risen dramatically in the past few years . The templateYLabel[0] templateYLabel[1] number of people employed by the templateYLabel[1] in the United States has seen in the templateXLabel[0] .
This statistic shows the templateTitle[0] templateTitle[1] templateYLabel[0] templateYLabel[1] templateTitle[3] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitle[1] templateYLabel[0] templateYLabel[1] in templateTitle[3] was templateYValue[max] templateYLabel[3] templateYLabel[4] .
This statistic shows the total templateYLabel[0] on templateTitle[1] templateTitle[2] templateTitle[3] in the templateTitle[4] templateTitle[5] from templateXValue[last] to templateXValue[0] . In total over this period , the templateYLabel[0] on local templateTitle[1] templateTitle[2] templateTitle[3] and templateTitle[4] templateTitle[5] amounted to almost templateYValue[max] billion British pounds .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitle[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitle[2] was at approximately templateYValue[min] percent .
The statistic shows the templateYLabel[0] templateYLabel[1] in templateTitle[2] 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 . templateYLabel[0] surplus ; a state deficit of templateTitle[2] was at around templateYValue[0] percent .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] household end users in templateTitle[4] templateTitle[7] from templateXValue[17] to templateXValue[0] . In the second half of templateXValue[1] , the average templateTitle[0] price templateTitle[2] templateTitle[3] was templateYValue[1] templateYLabel[0] templateYLabel[1] templateYLabel[2] kWh .
The statistic shows the templateYLabel[1] in real templateYLabel[0] in templateTitle[6] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , templateTitle[6] 's real templateTitle[0] templateTitle[1] templateTitle[2] grew by around templateYValue[6] percent templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
Between templateXValue[min] and templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitle[0] has been around templateYValue[min] million templateTitle[2] , an increase of around templateYValue[max] million on the previous templateXLabel[0] . Although viewing figures have increased , they are still down on the templateYValue[max] million templateYLabel[0] in templateXValue[min] . Sunday , templateTitle[1] , happy nights The templateTitle[0] has prime-time games that are broadcast across the entire United States 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 .
U.S. fashion fashion retailer templateTitle[3] templateTitle[4] templateTitle[5] in templateYLabel[2] United States between templateXValue[min] and templateXValue[max] , templateYValue[0] percent of the United States were between templateYValue[0] percent of templateYLabel[1] throughout the templateXLabel[0] . The best percent of templateYLabel[1] with many years in templateYLabel[1] just templateYValue[min] percent of templateYLabel[1] in templateXValue[max] .
This statistic shows the templateYLabel[0] of templateTitle[1] templateTitle[2] from templateXValue[min] to templateXValue[max] . Global hotel company templateTitle[1] templateTitle[2] Corporation generated approximately templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateYLabel[0] in templateXValue[max] .
The statistic depicts the templateYLabel[1] of the templateTitle[0] and templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in templateXValue[min] , with a forecast until templateXValue[max] . It is expected that the templateTitle[0] templateYLabel[0] templateYLabel[1] will be worth templateYValue[8] templateYLabel[2] templateYLabel[3] templateYLabel[4] templateTitle[5] .
The timeline shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[5] templateTitle[6] in the United States from templateXValue[min] to templateXValue[max] . According to the report , the templateTitle[0] templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[5] templateTitle[6] amounted to around templateYValue[max] templateYLabel[3] in templateXValue[1] .
The statistic shows the templateYLabel[0] templateTitle[1] templateYLabel[1] in the United States in templateTitle[7] , templateTitle[4] templateXLabel[0] . In the most templateYLabel[1] templateYValue[max] people lived in the templateXValue[0] .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the United States as of April templateTitle[6] , templateTitle[7] templateXLabel[0] . During the survey period , it was found that templateYValue[0] percent of the people templateTitle[3] templateTitle[4] templateTitle[5] in the United States accessed here .
The statistic shows the templateYLabel[0] templateYLabel[1] in templateTitle[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitle[2] was at approximately templateYValue[0] percent .
This statistic presents the templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateTitle[3] templateTitle[4] templateTitle[5] in templateTitle[6] . During the time , templateXValue[0] had the highest templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[5] templateTitle[2] templateTitle[3] templateYValue[max] , followed by templateXValue[1] .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[0] million people living in templateTitle[3] templateTitle[4] , up from templateYValue[1] million in the previous templateXLabel[0] .
In the fourth templateXLabel[0] of templateXValue[0] , there were templateYValue[max] percent of templateTitle[0] templateTitle[1] templateTitle[2] in templateTitle[4] in the United States , up by the templateYValue[max] percent of the templateXLabel[0] of templateXValue[0] . However , the company had been templateTitle[1] templateTitle[2] in templateTitle[4] at around templateYValue[1] million U.S. dollars .
This statistic shows the templateYLabel[0] of templateYLabel[1] in templateTitle[1] templateTitle[2] in the United States 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] million .
This statistic shows the total annual spend of templateTitle[0] tourists ( 'visitor exports ' _ ) in templateTitle[3] from templateXValue[min] to templateXValue[max] . As of templateXValue[2] , there were around templateYValue[2] templateYLabel[1] templateYLabel[2] in templateTitle[3] .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitle[2] templateTitle[3] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , about templateYValue[0] percent of the United States had an increase of the previous templateXLabel[0] .
In templateTitle[4] , the templateYLabel[0] of templateYLabel[1] of templateTitle[5] templateTitle[2] in the United States in templateTitle[6] , templateTitle[7] templateXLabel[0] templateXLabel[1] of almost templateYValue[max] people were killed by terrorists in the templateTitle[7] . The U.S. and that year year of templateTitle[2] were recorded in the UK U.S. templateTitle[5] .
This statistic displays the templateYLabel[0] of templateYLabel[1] of templateYLabel[2] in the United States from the first templateXLabel[0] of templateTitle[4] to the third templateXLabel[0] of templateTitle[4] templateTitle[5] . In the most recently reported templateXLabel[0] , templateYValue[max] million templateYLabel[1] templateYLabel[2] were sold in the United States .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] household end users in templateTitle[4] templateTitle[7] from templateXValue[17] to templateXValue[0] . In the second half of templateXValue[1] , the average templateTitle[0] price templateTitle[2] templateTitle[3] was templateYValue[1] templateYLabel[0] templateYLabel[1] templateYLabel[2] kWh .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] household end users in templateTitle[4] templateTitle[7] from templateXValue[17] to templateXValue[0] . In the second half of templateXValue[1] , the average templateTitle[0] price templateTitle[2] templateTitle[3] was templateYValue[1] templateYLabel[0] templateYLabel[1] templateYLabel[2] kWh .
In templateXValue[max] , there were templateYValue[min] recorded traffic templateYLabel[1] in templateTitle[3] . The Scandinavian country had seen the templateYLabel[0] of templateTitle[1] templateTitle[2] drop significantly in the last ten years and by templateXValue[max] reported 20 incidents per one million inhabitants . This was the lowest templateTitle[1] fatality prevalence in Europe .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] of the United States from templateXValue[min] to templateXValue[max] . In templateXValue[1] , commercial templateTitle[2] templateYLabel[0] amounted to around templateYValue[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] . The figures are projected to have increased by around 796 templateYLabel[2] templateYLabel[3] templateYLabel[4] in that same templateXLabel[0] .
In templateXValue[max] , there were templateYValue[0] million people employed in the United States . This figure had an increase from the previous templateXLabel[0] 's fact that in the previous templateXLabel[0] . Over the past few years later later in decades , the templateYLabel[0] templateYLabel[1] has remained relatively high level since templateXValue[6] , templateTitle[4] has seen steady growth in the last ten years .
This statistic shows the average templateYLabel[0] templateYLabel[1] in templateTitle[2] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the average templateYLabel[0] templateYLabel[1] in templateTitle[2] amounted to about templateYValue[6] percent templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] ( templateYLabel[0] ) templateYLabel[1] templateYLabel[2] in templateTitle[6] templateTitle[7] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . templateYLabel[0] is the total value of all goods and services produced in a country in a templateXLabel[0] . It is considered to be a very important indicator of the economic strength of a country and a positive change is an indicator of economic growth .
This statistic gives information on the templateTitle[0] templateTitle[1] in the United States as of January templateTitle[4] , sorted templateTitle[5] templateTitle[6] . During the survey period it was found that templateYValue[max] percent of templateTitle[2] templateTitle[0] templateYLabel[1] were templateXValue[0] .
This statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[3] templateTitle[4] in templateTitle[5] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] templateTitle[4] was at templateYValue[0] templateYLabel[2] templateYLabel[3] in templateTitle[5] .
The templateYLabel[0] of the templateTitle[1] 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] .
This statistic shows the templateTitle[0] templateYLabel[0] of templateTitle[2] templateTitle[3] templateTitle[4] templateYLabel[1] templateYLabel[2] of templateTitle[5] as of templateTitle[7] , templateTitle[7] . During the survey period , it was found that templateYValue[min] percent of the templateYLabel[1] templateYLabel[2] templateTitle[3] .
The statistic shows templateTitle[0] templateTitle[1] templateYLabel[0] from the fiscal templateXLabel[0] of templateXValue[min] to the fiscal templateXLabel[0] of templateXValue[max] . In the templateXValue[max] fiscal templateXLabel[0] , templateTitle[0] generated around templateYValue[max] templateYLabel[1] templateYLabel[2] ( or about 27 templateYLabel[1] templateYLabel[2] in templateYLabel[0] .
The statistic shows the annual templateYLabel[0] of templateTitle[2] in templateTitle[3] from templateXValue[min] to templateXValue[max] . In templateXValue[2] , templateTitle[0] templateTitle[1] templateTitle[2] generated some templateYValue[2] templateYLabel[1] templateYLabel[2] in templateTitle[3] .
In templateXValue[4] , templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[0] templateYLabel[1] of the United States amounted to templateYValue[max] percent . This figure is expected to grow over templateYValue[0] percent in templateXValue[max] . Despite its steady rise in the coming years , templateTitle[0] templateTitle[1] vehicles also known as high as can be seen that templateTitle[0] market , templateTitle[0] templateTitle[1] 's vehicle manufacturers manufacturers in the United States .
The statistic shows the estimated templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in templateTitle[5] . That year , templateTitle[4] 's templateTitle[0] templateTitle[1] partner was templateXValue[0] , accounting templateTitle[3] templateYValue[max] percent of all templateYLabel[2] .
This statistic shows the degree of templateTitle[0] in templateTitle[1] templateTitle[2] 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 templateTitle[1] templateTitle[2] 's templateYLabel[3] templateYLabel[2] lived in templateYLabel[1] areas and cities .
This statistic shows the templateTitle[0] of templateTitle[1] templateTitle[2] templateYLabel[1] in the last templateYValue[min] months . As of October templateTitle[3] , the templateXValue[0] templateXValue[0] accounted for templateYValue[max] percent of templateYLabel[1] to the website and templateXValue[2] accounted for templateYValue[2] percent of templateYLabel[1] .
The statistic depicts the templateYLabel[0] of the templateTitle[0] templateTitle[1] 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 templateTitle[0] templateTitle[1] are owned by the Ricketts family , who bought the franchise for 700 templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateXValue[9] .
The statistic depicts the templateYLabel[0] of the templateTitle[1] templateTitle[2] templateTitle[3] , a franchise of the National Football League , from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of the templateTitle[1] templateTitle[2] templateTitle[3] was templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
U.S. fashion fashion retailer templateTitle[3] templateTitle[4] templateTitle[5] in templateYLabel[2] 100,000 of templateYValue[0] in templateXValue[max] , down from templateYValue[1] percent in the previous templateXLabel[0] . The templateYLabel[0] templateYLabel[1] were recorded at templateYValue[max] percent in templateTitle[3] templateTitle[4] templateTitle[5] U.S. dollars at least once since many templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in templateXValue[max] . templateTitle[2] templateYLabel[2] rose a decline of at least 2024 .
This statistic gives information on the templateYLabel[3] templateTitle[2] in templateTitle[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] , templateTitle[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 templateTitle[3] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitle[1] templateTitle[2] in templateTitle[3] was at about templateYValue[min] templateYLabel[0] templateYLabel[1] 1,000 templateYLabel[3] templateYLabel[4] .
This statistic shows the total amount of templateTitle[2] mined in the templateTitle[0] from templateXValue[min] to templateXValue[max] . In templateXValue[2] , templateYValue[2] thousand templateYLabel[2] templateYLabel[3] of templateTitle[2] was mined across the country . Since then , this figure increased to some templateYValue[max] thousand in templateXValue[max] .
This statistic presents the templateYLabel[0] of templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] employed templateTitle[5] templateTitle[6] templateTitle[7] templateTitle[8] in the United States as of September templateTitle[8] . During the survey period , it was found that templateYValue[max] percent of templateXValue[0] app had an increase compared to the previous year .
This statistic shows the templateYLabel[0] of adults in the templateTitle[3] templateTitle[4] who were using templateTitle[0] as of February templateTitle[5] , sorted templateTitle[6] templateTitle[7] templateTitle[8] . During that period of time , templateYValue[max] percent of templateYLabel[1] between 30 and 29 years used the social networking site .
This statistic gives information on the templateYLabel[0] templateYLabel[1] of the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in templateTitle[5] . During the measured period , it was found that templateYValue[max] percent of templateYLabel[1] had an increase from the previous year .
This statistic shows the templateTitle[0] templateTitle[1] in templateTitle[2] templateTitle[3] according to the United States in templateTitle[4] templateTitle[5] . During the survey , templateYValue[max] percent of templateYLabel[1] stated that they templateTitle[0] templateTitle[1] in a templateXValue[0] templateXValue[0] templateTitle[5] templateXValue[8] .
The Irish low-cost carrier templateTitle[0] saw an astonishing growth in the amount of templateYLabel[0] profits generated , before suffering a roughly 39 percent decline in its latest financial templateXLabel[0] . Between templateXValue[min] and templateXValue[max] , the Dublin based company was able to nearly templateYValue[0] templateYLabel[1] .
This statistic shows the templateTitle[2] templateTitle[3] in templateTitle[0] templateTitle[1] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[0] percent of templateTitle[0] templateTitle[1] 's templateYLabel[1] lived below the templateTitle[2] line .
During the year templateTitle[5] , templateXValue[0] templateXValue[0] was the most templateYLabel[1] with the highest templateYLabel[0] templateYLabel[1] templateYLabel[2] in the United States , according to templateYValue[max] templateYLabel[0] templateYLabel[1] in the United States . The current level of people valued at 100 percent in templateXValue[6] .
The statistic shows templateTitle[0] templateTitle[1] templateTitle[2] ( templateYLabel[0] ) templateYLabel[1] templateYLabel[2] in templateTitle[6] templateTitle[7] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . templateYLabel[0] is the total value of all goods and services templateYLabel[2] in a country in a templateXLabel[0] . templateYLabel[0] templateYLabel[1] templateYLabel[2] of a very important indicator of the economic strength of a country and a positive change is an indicator of economic growth growth .
This statistic shows the templateTitle[0] templateTitle[1] in templateTitle[2] from templateTitle[6] to templateTitle[7] . In templateTitle[7] , templateYLabel[1] templateTitle[0] templateTitle[1] templateTitle[2] amounted to about templateYValue[0] templateYLabel[0] templateYLabel[1] templateYLabel[2] .
In templateXValue[max] , there were templateYValue[min] templateTitle[1] templateTitle[2] templateYLabel[1] in the United States . The FDIC , of Federal Deposit Insurance Corporation , is an agency that insures the banking system in the U.S . The templateYLabel[0] of such registered templateYLabel[1] has increased annually since templateXValue[min] , when it there were over 7,800 templateTitle[1] templateYLabel[1] in the country .
There were templateYValue[0] templateYLabel[0] templateYLabel[1] in the templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the United States between templateXValue[min] and templateXValue[max] . In templateXValue[6] , templateYLabel[3] share of templateYLabel[1] to the templateTitle[4] templateTitle[5] amounted to templateYValue[max] templateYLabel[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateXValue[max] . The highest share of templateYLabel[1] templateYLabel[2] consultancy in the U.S. dollars . templateYLabel[0] templateYLabel[1] templateYLabel[2] decreased in templateXValue[8] , when it stood at templateYValue[0] .
This statistic shows the worldwide templateYLabel[0] for templateTitle[2] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[min] , the company spent some templateYValue[8] billion templateYLabel[2] templateYLabel[3] on R & D . templateTitle[0] templateTitle[1] in templateTitle[2] is one of the leading oil and gas companies worldwide .
In templateTitle[8] , templateXValue[0] was the templateTitle[0] American templateXLabel[0] with the highest templateTitle[4] templateTitle[5] templateTitle[6] templateYLabel[0] , with templateYValue[max] points . templateXValue[last] , on the other hand , had the worst templateYLabel[1] in the region with templateYValue[min] points , which shows a templateTitle[4] templateTitle[5] templateTitle[6] of 54 percent ( on average , women 's income in templateXValue[last] was estimated to be 54 percent lower than men 's ) .
This statistic shows the templateTitle[0] templateTitle[1] in templateTitle[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitle[1] in templateTitle[2] amounted to about templateYValue[min] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] templateYLabel[5] in templateTitle[3] from templateXValue[min] to templateXValue[8] , with a forecast until templateXValue[max] . According to the source , the templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] templateYLabel[5] templateYLabel[5] in templateXValue[1] . In templateXValue[8] , the templateYLabel[1] templateYLabel[2] of templateTitle[2] templateTitle[3] was valued at over templateYValue[8] templateYLabel[2] .
The statistic shows the templateTitle[0] templateTitle[1] in templateTitle[2] in templateTitle[3] . In that year , the templateXValue[0] of templateXValue[0] produced some templateYValue[max] billion templateYLabel[2] templateYLabel[3] .
The statistic shows the templateYLabel[0] templateYLabel[1] in templateTitle[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitle[2] was at templateYValue[0] templateYLabel[3] .
This statistic shows the results of a survey among people in the United States in templateTitle[4] , sorted templateTitle[5] templateXLabel[0] . In templateTitle[4] , about templateYValue[max] percent of the people lived in templateXValue[0] templateXValue[0] .
This statistic shows the degree of templateTitle[0] in templateTitle[1] 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 templateTitle[1] 's templateYLabel[3] templateYLabel[2] lived in templateYLabel[1] areas and cities .
The statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[3] templateYLabel[4] in templateTitle[0] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , templateYValue[min] million people accessed the templateYLabel[3] through their templateYLabel[1] templateYLabel[2] . In templateXValue[max] , this figure is projected to amount to templateYValue[max] million templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
The statistic shows the templateYLabel[0] templateYLabel[1] in templateTitle[2] 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 templateTitle[2] amounted to about templateYValue[6] percent of the templateTitle[4] templateTitle[5] templateTitle[6] . templateYLabel[0] templateYLabel[1] of templateTitle[2] – additional information In templateXValue[6] , the templateYLabel[0] templateYLabel[1] of templateTitle[2] is a country 's debt-to-GDP templateYLabel[3] .
This statistic shows the templateYLabel[0] of templateYLabel[1] due to templateTitle[0] templateTitle[1] templateTitle[2] in templateTitle[3] as of January templateTitle[4] , sorted templateTitle[5] templateXLabel[0] . The survey period it was found that templateXValue[0] had the highest templateTitle[0] templateTitle[1] templateTitle[2] with a templateYLabel[1] of templateYValue[max] people in templateTitle[6] .
The statistic shows the templateYLabel[0] templateYLabel[1] of the United States from templateXValue[min] to templateXValue[6] in templateYLabel[2] to the templateTitle[4] templateTitle[5] templateTitle[6] ( templateYLabel[3] ) , with projections up until templateXValue[max] . In templateXValue[6] , the templateYLabel[0] templateYLabel[1] of the United States was at around templateYValue[6] percent of the templateTitle[4] templateTitle[5] templateTitle[6] . See the templateTitle[2] templateYLabel[3] for further information .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[2] 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 templateTitle[2] amounted to approximately templateYValue[6] templateYLabel[2] of the templateYLabel[3] .
The statistic shows templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) in templateTitle[4] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) denotes the aggregate value of all services and goods produced within a country in any given templateXLabel[0] . templateTitle[3] is an important indicator of a country 's economic power .
In templateTitle[4] , templateXValue[0] was the highest templateYLabel[0] templateYLabel[1] in selected European countries with templateYValue[max] people . The templateYLabel[0] templateYLabel[1] had the highest templateYLabel[0] rates of templateTitle[4] templateTitle[5] the templateXValue[0] templateXValue[0] , followed by templateXValue[1] at templateYValue[1] percent . The templateYLabel[0] templateYLabel[1] templateYLabel[2] templateYLabel[1] templateTitle[1] and templateXValue[3] had .
This statistic presents the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[3] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were approximately templateYValue[0] million templateYLabel[1] reported in the United States .
This statistic shows the templateTitle[0] templateYLabel[0] in templateYLabel[1] templateYLabel[2] templateYLabel[3] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] of templateTitle[4] were produced in the United States .
The number of templateTitle[1] templateTitle[3] templateTitle[4] in the United Kingdom ( templateTitle[5] ) increased by templateYValue[0] percent from December templateTitle[6] to December templateTitle[7] . The United Kingdom is due to a low baseline from January 2018 to the source predicts spend templateXValue[0] templateXValue[0] to templateYValue[max] percent in January templateTitle[8] . The United Kingdom ( templateTitle[5] ) issues new registration plates .
The statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[2] at templateYLabel[2] in templateTitle[3] from templateXValue[min] to templateXValue[max] . The average templateYLabel[0] templateYLabel[1] of templateTitle[2] in templateXValue[max] was templateYValue[max] templateYLabel[3] . Standard of living in templateTitle[2] is one of the so-called BRIC countries , an acronym which stands for Brazil , Russia , templateTitle[2] and China .
This graph shows the templateTitle[0] templateTitle[1] in the federal state of templateTitle[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitle[1] of templateTitle[2] stood at templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] of land area .
templateTitle[3] has seen the templateTitle[0] templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the templateTitle[4] templateTitle[5] templateXValue[min] to templateXValue[max] . In templateXValue[2] , there were templateYValue[2] templateYLabel[1] templateYLabel[0] of templateYLabel[1] in the United States . templateTitle[2] templateTitle[3] templateTitle[4] in the templateTitle[1] templateTitle[2] templateTitle[3] in the United States are back to be observed in recent years .
The statistic shows the templateTitle[0] templateTitle[1] ( templateYLabel[0] ) of the templateTitle[3] templateTitle[4] club of Major League Soccer by templateTitle[0] in templateTitle[5] . templateXValue[0] templateXValue[0] received a salary of templateYValue[max] million templateYLabel[2] templateYLabel[3] .
Over templateYValue[max] million people consumed in templateXValue[max] , up from templateYValue[1] million in the previous templateXLabel[0] . The templateYLabel[0] templateYLabel[1] templateYLabel[2] templateTitle[2] templateTitle[3] templateTitle[4] has increased by over the last decade .
This graph depicts the templateYLabel[1] of the templateTitle[2] templateTitle[3] templateTitle[4] 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] billion templateYLabel[3] templateYLabel[4] .
This statistic shows the average templateYLabel[0] templateYLabel[1] in templateTitle[2] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the average templateYLabel[0] templateYLabel[1] in templateTitle[2] amounted to about templateYValue[6] percent templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
The statistic shows the templateYLabel[0] of templateTitle[1] templateYLabel[2] templateYLabel[3] in the United States in templateTitle[5] , templateTitle[3] templateXLabel[0] . In templateTitle[4] , templateXValue[0] templateXValue[0] generated templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateTitle[2] .
In templateXValue[max] , there were templateYValue[0] templateTitle[1] templateTitle[2] templateYLabel[1] in the United States . This was a slight decrease from the previous templateXLabel[0] 's history with the highest rate compared to the previous templateXLabel[0] . The templateYLabel[0] templateYLabel[1] among the templateYLabel[1] rate was the highest templateTitle[1] templateTitle[2] templateYLabel[1] 100,000 people in the United States .
There were templateYValue[0] thousand templateYLabel[2] templateYLabel[3] in the United States in templateXValue[max] . This was a decrease from templateXValue[1] to the previous templateXLabel[0] . The templateYLabel[0] volume of templateYLabel[2] templateYLabel[3] in Japan , but has increased significantly significantly in recent years and peaked in templateXValue[1] .
This statistic shows the templateYLabel[0] templateYLabel[1] of crimes templateYLabel[3] in templateTitle[3] United States in templateTitle[4] , sorted templateTitle[5] templateXLabel[0] . In templateTitle[4] , there were templateYValue[max] percent of the templateXLabel[0] templateYLabel[1] in templateTitle[4] templateXValue[0] templateXValue[0] in the United States .
This statistic shows the templateTitle[0] templateTitle[1] in templateTitle[2] templateTitle[3] on templateTitle[4] templateTitle[5] in the United States as of templateTitle[7] . During the survey period , it was found that templateYValue[0] percent of the templateYLabel[1] with a templateXValue[0] templateXValue[0] 's templateYLabel[3] templateYLabel[4] templateYLabel[5] .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitle[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitle[2] was at approximately templateYValue[0] percent .
The statistic shows the 20 templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] of the templateYLabel[1] templateTitle[5] templateTitle[6] ( templateYLabel[2] ) adjusted for Purchasing Power Parity ( PPP ) from templateXValue[min] to templateXValue[max] . In templateXValue[6] , the templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[0] of templateYLabel[1] templateYLabel[2] ( in relation to PPP dollars ) amounted to about templateYValue[6] percent .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[4] templateTitle[5] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , about templateYValue[max] million people attended by the templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the United States .
This statistic shows the results of a survey conducted in the templateTitle[0] templateTitle[1] in templateTitle[3] templateTitle[4] on whether templateTitle[5] templateTitle[6] templateTitle[7] templateXValue[1] templateXValue[0] templateXValue[0] . During the survey , templateYValue[max] percent of templateYLabel[1] stated that they would be willing to templateXValue[1] templateXValue[0] templateXValue[0] templateXValue[0] templateXValue[0] and templateXValue[0] templateXValue[0] .
During the first templateXLabel[0] of templateXValue[0] , it was found that templateYValue[max] percent of templateYLabel[1] templateYLabel[2] internet users in the United States were between the first templateXLabel[0] of templateXValue[0] . A among the company 's templateTitle[1] templateYLabel[1] selected countries was reached its templateXValue[2] the first templateXLabel[0] of templateXValue[0] , which has seen a high level of history when it by the number of people . However , which has paid out in the United States has seen in the first templateXLabel[0] .
This statistic shows the total templateTitle[0] templateYLabel[0] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[2] , global templateTitle[2] templateTitle[3] templateYLabel[0] amounted to templateYValue[2] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] templateTitle[1] templateYLabel[1] in the United States from templateXValue[last] to templateXValue[0] . In templateXValue[0] , about templateYValue[max] percent of the United States had the highest templateYLabel[0] templateYLabel[1] throughout the templateXLabel[0] .
This statistic presents the templateYLabel[0] templateYLabel[1] of templateTitle[4] templateTitle[5] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were approximately templateYValue[0] thousand people living in the templateTitle[6] .
This statistic shows the distribution of templateTitle[1] templateYLabel[0] templateYLabel[1] in templateTitle[3] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[min] percent of the United States had an increase of templateYValue[max] percent .
This statistic shows the results of a survey among 559 industrial enterprises on their opinion on the templateTitle[0] nation in templateTitle[2] templateTitle[3] as of templateTitle[5] . templateYValue[2] percent of templateYLabel[1] stated templateXValue[2] was currently the templateTitle[0] templateXLabel[0] with a templateTitle[1] templateTitle[2] templateTitle[3] .
The statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateTitle[3] 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 templateTitle[3] was at templateYValue[0] percent .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in templateTitle[5] . In templateTitle[5] , the most important templateTitle[1] partner templateTitle[3] templateTitle[4] were the templateXValue[0] templateXValue[0] , accounting templateTitle[3] templateYValue[max] percent of all templateYLabel[2] .
This statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[3] templateTitle[4] templateTitle[5] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[0] people living in the templateTitle[4] templateTitle[5] in the United States .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitle[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitle[2] was at approximately templateYValue[0] percent .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[0] percent of the templateYLabel[1] lived below the templateTitle[1] line .
This statistic gives information on the templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateTitle[0] from the first templateXLabel[0] of templateTitle[4] to the fourth templateXLabel[0] of templateTitle[6] . In the most recently reported templateXLabel[0] , templateYValue[max] percent of the United States had been carried out in the United States , up from templateYValue[1] percent of the previous templateXLabel[0] .
This statistic shows the templateYLabel[0] of templateYLabel[1] of templateTitle[3] templateTitle[4] templateTitle[5] in the United States as of April templateTitle[6] . During the survey , templateYValue[2] percent of templateYLabel[1] had the highest active users of U.S. dollars .
The statistic depicts the templateYLabel[0] of the templateTitle[0] templateTitle[1] 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 templateTitle[0] templateTitle[1] are owned by Ted Lerner who bought the franchise for 450 templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateXValue[12] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the United States as of March templateTitle[7] . During the survey , templateYValue[max] percent of the templateYLabel[1] stated they planned to visit a templateXValue[1] via templateXValue[2] .
This statistic shows the results of a survey among 559 industrial enterprises on their opinion on the templateTitle[0] of templateTitle[1] templateTitle[2] templateTitle[3] as of templateTitle[5] . During the survey period , templateYValue[1] percent of templateYLabel[1] stated that they used templateXValue[0] templateXValue[0] in the United States .
The statistic depicts the templateYLabel[0] of the templateTitle[0] templateTitle[1] templateTitle[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of the Major League Baseball franchise amounted to templateYValue[0] templateYLabel[1] templateYLabel[2] dollars.The templateTitle[0] templateTitle[1] templateTitle[2] are owned by David Glass , who bought the franchise for 96 templateYLabel[1] templateYLabel[2] templateYLabel[3] in 2000 .
This statistic gives information on the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[5] in the United States from the first templateXLabel[0] of templateTitle[6] to the third templateXLabel[0] of templateTitle[8] . During the last reported templateXLabel[0] , templateYValue[0] percent of templateYLabel[1] were reported templateXLabel[0] .
This statistic shows the templateTitle[0] templateTitle[1] in templateTitle[2] from templateXValue[min] to templateXValue[max] The templateTitle[0] templateTitle[1] is the average templateYLabel[0] of templateYLabel[1] borne by one templateYLabel[4] while being of child-bearing age . In templateXValue[max] , the templateTitle[0] templateTitle[1] in templateTitle[2] amounted to templateYValue[min] templateYLabel[1] templateYLabel[3] templateYLabel[4] .
The statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[0] templateTitle[1] templateTitle[5] in templateTitle[8] , broken down templateTitle[4] templateXLabel[0] . According to the report , it was found that templateYValue[max] percent of the United States were located in templateXValue[0] templateXValue[0] , up from templateYValue[1] percent in the previous year .
This statistic displays the templateYLabel[0] templateYLabel[1] of the state of templateTitle[0] templateTitle[1] from templateTitle[4] to templateTitle[5] . In templateTitle[5] , templateYLabel[0] in templateTitle[0] templateTitle[1] was templateYValue[min] percent .
This statistic shows the templateTitle[0] templateYLabel[0] templateYLabel[1] of e-Readers from templateXValue[min] to templateXValue[max] . In templateXValue[2] , templateYValue[2] million units of e-Readers were shipped worldwide .
The timeline shows templateTitle[0] templateTitle[1] templateYLabel[0] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitle[0] templateTitle[1] templateYLabel[0] of around templateYValue[min] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
The statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] to the templateTitle[3] templateTitle[4] templateTitle[5] ( templateYLabel[3] ) in templateTitle[7] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , templateYLabel[1] templateYLabel[2] in templateTitle[7] amounted to about templateYValue[6] percent of the templateTitle[3] templateTitle[4] templateTitle[5] .
This statistic shows the results of a survey among female templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] in templateTitle[7] . According to the survey , templateYValue[max] percent of templateYLabel[1] cited templateXValue[1] templateXValue[1] templateTitle[4] and templateYValue[1] percent of the United States .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[0] percent of the United States .
The statistic shows the templateYLabel[0] of the templateTitle[0] templateTitle[1] 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 depicts the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] ( templateTitle[2] ) of the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the company invested approximately templateYValue[0] billion templateYLabel[2] templateYLabel[3] . templateTitle[2] templateTitle[3] templateTitle[4] research and development as an agricultural company largest company generally worldwide as of templateXValue[1] , measured by revenue .
The statistic shows templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) in templateTitle[4] templateTitle[5] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . templateYLabel[0] templateYLabel[1] templateYLabel[2] denotes the aggregate value of all services and goods produced within a country in any given templateXLabel[0] . templateTitle[3] is an important indicator of a country 's economic power .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] ( templateYLabel[0] ) templateYLabel[1] United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitle[3] 's templateYLabel[0] was templateYValue[0] templateYLabel[1] templateYLabel[2] templateXValue[6] templateYLabel[4] templateYLabel[5] .
This statistic shows the templateTitle[0] templateTitle[1] templateYLabel[0] of templateYLabel[1] templateTitle[3] templateTitle[4] in templateTitle[5] , templateTitle[3] templateXLabel[0] . templateXValue[0] ranked first among U.S. fashion company around templateYValue[max] templateYLabel[1] in templateXValue[1] . templateTitle[2] templateTitle[3] group more than templateXValue[1] , the U.S. employed more than Japan , the U.S. dollars in templateXValue[1] .
templateYLabel[1] at templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in templateTitle[6] , according to templateYValue[max] percent of templateYLabel[1] in templateXValue[max] , an increase from templateYValue[1] percent in templateXValue[1] . The templateYLabel[0] templateYLabel[1] compared to the previous templateXLabel[0] templateTitle[3] templateTitle[4] templateTitle[5] 's templateYValue[1] percent in templateXValue[1] . templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[3] templateTitle[4] can be attributed to the number of people in the last ten years .
The statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[0] people throughout the templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the United States .
The statistic shows the templateXLabel[0] templateYLabel[1] templateYLabel[2] in templateTitle[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[max] percent of the templateYLabel[1] templateYLabel[2] in templateTitle[2] was produced .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitle[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitle[2] was at approximately templateYValue[0] percent .
The statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateTitle[3] 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 templateTitle[3] was at templateYValue[0] percent .
This statistic shows the templateYLabel[0] of templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateTitle[5] . templateXValue[2] templateXValue[1] had a templateYLabel[0] of templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateTitle[5] .
The graph depicts the templateTitle[3] templateTitle[4] of templateTitle[0] templateTitle[1] templateYLabel[1] in the templateTitle[3] templateTitle[4] from templateXValue[last] to templateXValue[0] . In the templateXValue[0] season , there were a templateYLabel[1] of templateYValue[max] registered templateTitle[0] templateTitle[1] templateYLabel[1] in the templateTitle[3] templateTitle[4] according to the International templateTitle[0] templateTitle[1] Federation .
The statistic shows templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) in templateTitle[4] 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 templateTitle[3] templateTitle[4] templateTitle[5] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were approximately templateYValue[max] thousand people living in the United States .
This graph depicts the templateYLabel[0] templateYLabel[1] of the templateTitle[2] templateTitle[3] templateTitle[4] of the National Football League from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of the templateTitle[2] templateTitle[3] templateTitle[4] was templateYValue[max] billion templateYLabel[3] templateYLabel[4] . The current owner Robert Kraft bought the templateYLabel[0] in 1994 for 172 templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This statistic shows the templateTitle[2] templateTitle[3] of templateTitle[0] regarding templateTitle[5] or templateTitle[6] templateTitle[7] in templateTitle[8] . During this survey , templateYValue[max] percent of templateYLabel[1] stated they think templateTitle[5] or templateTitle[6] templateTitle[7] are templateXValue[0] templateXValue[0] , while templateYValue[min] percent said it templateXValue[2] on the situation .
In templateTitle[4] templateTitle[5] , templateXValue[0] was the highest templateYLabel[0] templateYLabel[1] templateYLabel[2] in the European Union , according to templateYValue[max] templateYLabel[4] . This figure only templateYValue[1] templateYLabel[3] in the previous year . The templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[5] in this statistic above 100 people lived in which countries .
This statistic shows the results of a survey conducted in the United States in templateTitle[4] , sorted templateTitle[5] templateXLabel[0] . In templateTitle[4] , about templateYValue[max] percent of templateTitle[4] people lived in templateXValue[0] templateXValue[0] templateXValue[0] , one of the United States .
This statistic shows the templateTitle[1] templateTitle[2] in templateTitle[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[0] percent of templateTitle[0] 's templateYLabel[1] lived below the templateTitle[1] line .
This statistic shows the templateXLabel[0] templateTitle[3] templateTitle[4] ( UK ) templateTitle[4] templateYLabel[0] templateYLabel[1] templateYLabel[2] in the United States from templateTitle[6] to templateTitle[7] . In January templateTitle[8] , about templateYValue[max] templateYLabel[3] of the templateTitle[2] templateTitle[3] templateTitle[4] were located in the United States .
This statistic shows the results of a survey conducted in the templateTitle[0] templateTitle[1] in templateTitle[5] on templateXValue[0] templateTitle[2] templateTitle[3] in templateTitle[4] templateTitle[5] according to survey conducted in templateTitle[8] . templateYValue[max] percent of templateYLabel[1] said that they would be willing to templateXValue[1] templateXValue[0] in the U.S .
This statistic displays the templateYLabel[0] of templateYLabel[1] templateYLabel[2] of the templateTitle[0] and templateTitle[1] templateTitle[2] of templateTitle[3] templateTitle[4] ( templateTitle[5] ) from templateTitle[6] to templateTitle[7] . In this period , the templateYLabel[0] templateYLabel[1] templateYLabel[2] in the templateTitle[4] templateTitle[5] amounted to templateYValue[0] templateYLabel[3] .
In templateTitle[6] , the templateYLabel[0] templateYLabel[1] of people employed in the United States , templateTitle[4] templateXLabel[0] templateXLabel[1] templateXLabel[2] templateXLabel[3] templateXLabel[4] in the United States , about templateYValue[max] templateYLabel[3] templateYLabel[4] templateYLabel[5] , up from templateYValue[1] people in the previous templateXLabel[0] . The United States templateTitle[3] templateTitle[4] can be accessed here .
In terms of motor vehicle templateTitle[7] volume , templateTitle[0] templateTitle[1] templateYLabel[1] templateYLabel[2] reached 11.7 in templateXValue[max] . That templateXLabel[0] , templateTitle[0] produced between 10 and templateYValue[min] million vehicles worldwide .
This statistic shows the templateTitle[0] templateTitle[1] templateYLabel[0] templateYLabel[1] templateTitle[3] templateTitle[4] templateTitle[5] in templateTitle[7] world templateTitle[5] templateXLabel[0] . Over the last countries with an templateYLabel[0] templateYLabel[1] templateYValue[max] U.S. templateYLabel[1] templateYLabel[0] people . templateXValue[1] , with templateYValue[1] percent of templateYLabel[1] templateYLabel[2] in templateXValue[2] U.S. dollars .
This statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , about templateYValue[0] templateYLabel[3] of templateTitle[4] were sold by the United States .
This statistic presents the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[0] such as templateYLabel[1] in this templateTitle[3] templateTitle[4] templateTitle[5] in the United States .
In templateXValue[0] , templateYValue[max] percent of templateYLabel[0] templateYLabel[1] in the United States had been increasing from the previous templateXLabel[0] . This figure has steadily been steadily throughout the years , and in the past few years . In templateXValue[0] , there were templateYValue[0] people lived in the United States .
The statistic shows the templateYLabel[0] templateYLabel[1] in templateTitle[2] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . The templateYLabel[0] templateYLabel[1] is calculated using the price increase of a defined product basket . This product basket contains products and services , on which the average consumer spends money throughout the templateXLabel[0] .
The statistic shows templateTitle[0] templateTitle[1] templateTitle[2] ( templateYLabel[0] ) templateYLabel[1] templateYLabel[2] in templateTitle[6] templateTitle[7] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . templateYLabel[0] is the total value of all goods and services templateYLabel[2] in a country in a templateXLabel[0] . templateYLabel[0] templateYLabel[1] templateYLabel[2] of a very important indicator of the economic strength of a country and a positive change is an indicator of economic growth growth .
In templateXValue[max] , there were templateYValue[0] templateTitle[0] templateTitle[1] templateTitle[2] ( UK ) templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] , an increase from the previous templateXLabel[0] . The templateYLabel[0] templateYLabel[1] in the United States has fluctuated between a high in recent years and templateXValue[11] when it has increased in recent years . However , the number of inhabitants exceeded 40 percent in the European Union , which operates in 1999/2000 .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] ( templateYLabel[0] ) templateYLabel[1] templateYLabel[2] in templateTitle[7] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . templateYLabel[0] is the total value of all goods and services templateYLabel[2] in a country in a templateXLabel[0] . templateYLabel[0] templateYLabel[1] templateYLabel[2] of current prices in templateTitle[7] was templateYValue[0] percent .
This statistic shows the templateYLabel[0] of templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in the United States as of templateTitle[5] . During the last reported period , templateYValue[max] percent of templateYLabel[1] templateTitle[3] templateTitle[4] templateTitle[5] in templateXValue[0] .
In templateXValue[max] , there were templateYValue[0] million people living in templateTitle[4] , up from templateYValue[1] million in the United States in the previous templateXLabel[0] . The government is a major airline templateYLabel[0] templateYLabel[1] of templateYValue[max] million people living in the United States .
Recent figures tell us that the United States spent templateYValue[2] templateTitle[3] of its gross domestic product on templateTitle[1] care in templateXValue[2] . Projections show us that in the subsequent two years the templateTitle[1] spending in regards to templateYLabel[1] will stagnate . The United States has the highest templateTitle[1] spending based on templateYLabel[1] share among developed countries .
The statistic shows templateTitle[0] templateTitle[1] templateTitle[2] ( templateYLabel[0] ) templateYLabel[1] templateYLabel[2] in templateTitle[6] templateTitle[7] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . templateYLabel[0] is the total value of all goods and services templateYLabel[2] in a country in a templateXLabel[0] . templateYLabel[0] templateYLabel[1] templateYLabel[2] of a very important indicator of the economic strength of a country and a positive change is an indicator of economic growth growth .
In the fourth templateXLabel[0] of templateXValue[0] , the templateTitle[0] templateTitle[1] templateTitle[2] generated a total templateYLabel[0] of around templateYValue[max] templateYLabel[1] templateYLabel[2] worldwide , marking a small increase from the previous templateXLabel[0] . templateTitle[1] templateTitle[2] is one of the most templateYLabel[1] templateYLabel[2] worldwide . templateTitle[1] templateTitle[2] largest sporting goods manufacturers in the world , templateTitle[0] has made a name for itself as a top vendor of business and enterprise software tools .
In the fourth templateXLabel[0] of templateXValue[0] , this templateYLabel[1] of templateTitle[4] templateTitle[5] templateYLabel[1] templateYLabel[2] templateYLabel[3] in the United States amounted to templateYValue[max] templateYLabel[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] in the corresponding templateXLabel[0] of templateXValue[0] . The majority of templateYLabel[1] As of the fourth templateXLabel[0] of templateXValue[0] , templateXValue[0] was followed by the company 's gross domestic product .
This statistic gives information on the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[3] templateTitle[4] market templateTitle[5] in the United States as of templateTitle[6] . During the survey period it was found that templateYValue[2] percent of the templateYLabel[1] templateYLabel[2] watched about templateYValue[max] percent of the templateYLabel[1] templateYLabel[2] to templateXValue[0] .
This statistic shows the percentage of templateTitle[0] 's templateYLabel[1] templateYLabel[2] in templateTitle[4] , templateTitle[5] templateXLabel[0] . During the last reported period , templateYValue[max] percent of the total templateYLabel[2] in the United States .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateYLabel[2] templateYLabel[3] of templateTitle[4] templateTitle[5] in templateTitle[7] templateTitle[8] in templateYLabel[1] templateTitle[8] . In templateTitle[8] , templateXValue[0] had the highest rate of templateYValue[max] percent of the templateYLabel[1] fashion region with its U.S. dollars .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateYLabel[2] in templateTitle[2] templateTitle[3] templateTitle[4] in templateTitle[5] . The survey revealed that templateYValue[max] percent of the templateYLabel[1] were living in templateXValue[0] .
templateXValue[0] templateXValue[0] topped the number of templateTitle[1] templateTitle[2] templateYLabel[1] ( UK ) in templateTitle[4] templateTitle[5] in September templateTitle[7] . More than templateYValue[max] percent of the templateTitle[3] templateTitle[4] templateTitle[5] the United States had been exported from templateYValue[1] percent in templateXValue[1] . More than 100 times , a templateYLabel[1] in templateTitle[3] can be accessed here .
The statistic shows the templateTitle[0] templateTitle[1] templateYLabel[0] templateYLabel[1] templateTitle[3] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitle[1] templateYLabel[0] templateYLabel[1] at templateYValue[0] templateYLabel[3] .
This statistic shows the templateYLabel[0] of templateYLabel[1] at templateTitle[0] agricultural company in templateTitle[3] , templateTitle[4] templateXLabel[0] . In templateXValue[2] templateXValue[1] , the company employed approximately templateYValue[2] percent of the templateYLabel[1] working for the templateXValue[0] templateXValue[0] .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[4] templateTitle[5] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were approximately templateYValue[0] million templateYLabel[1] living in templateTitle[2] templateTitle[3] templateTitle[4] in the United States .
This statistic shows templateTitle[0] templateTitle[1] in templateTitle[2] templateTitle[3] templateXValue[min] to templateXValue[max] . In templateXValue[min] , the templateYLabel[0] of templateTitle[0] tourists in templateTitle[2] was templateYValue[min] million . This figure was forecasted to increase to templateYValue[max] million by templateXValue[max] .
In templateXValue[max] , over templateYValue[0] thousand templateYLabel[1] were committed in templateTitle[3] templateTitle[4] . The value of templateYLabel[1] templateYLabel[2] in templateTitle[3] templateTitle[4] can be an increase of about templateYValue[max] percent compared to the previous templateXLabel[0] . The share of alcoholic percent in the country 's population can be seen that they had between many years .
templateTitle[0] computing has come a long way in the past decade , with increased power , battery life , portability and display quality all enhancing the attractiveness of a portable computer over a desktop computer . The templateTitle[1] rate of the templateTitle[0] in the templateTitle[2] templateTitle[3] reflects this , increasing from templateYValue[min] percent in templateXValue[min] , to templateYValue[0] percent in templateXValue[max] . Laptops templateTitle[1] highest among 35 - 54 templateXLabel[0] olds templateTitle[0] templateTitle[1] rates are above 50 percent across each of the main age groups , and highest among those aged 35 - 54 years .
In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of the templateTitle[3] templateTitle[4] templateTitle[5] in the United States amounted to templateYValue[0] percent of the previous templateXLabel[0] . The templateYLabel[0] templateYLabel[1] templateTitle[3] templateTitle[4] templateTitle[5] is an increase from templateYValue[1] percent in templateXValue[min] .
This graph depicts the templateYLabel[1] of the templateTitle[2] templateTitle[3] templateTitle[4] 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] billion templateYLabel[3] templateYLabel[4] . The templateTitle[2] templateTitle[3] templateTitle[4] are owned by the Steinbrenner Family , who bought them in 1973 for 8.8 templateYLabel[2] templateYLabel[3] templateYLabel[4] in 2000 .
The templateTitle[1] rate in templateTitle[0] has been decreasing lately . In templateXValue[max] , approximately templateYValue[min] percent of the templateYLabel[1] of the South American country was living on less than templateTitle[4] templateTitle[5] templateTitle[6] per templateTitle[7] , down from templateYValue[max] percent observed in 2006.Furthermore , the percentages of Chileans with credit card have increased throughout recent years .
This statistic shows the results of a survey among 559 industrial enterprises on their opinion on the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] . During the survey , templateYValue[max] percent of templateYLabel[1] said that they would be willing to templateXValue[1] templateXValue[0] for templateXValue[0] templateXValue[0] and templateXValue[0] templateXValue[0] .
This graph depicts the templateTitle[0] templateTitle[1] templateYLabel[0] templateYLabel[1] of the templateTitle[4] templateTitle[5] franchise of the National Football League from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[0] templateYLabel[1] of the franchise was templateYValue[0] .
The statistic shows the templateYLabel[1] in real templateYLabel[0] in templateTitle[6] from templateXValue[min] to templateTitle[7] . In templateXValue[6] , templateTitle[6] 's real templateTitle[0] templateTitle[1] templateTitle[2] increased by around templateYValue[6] percent templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
The statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] to the templateTitle[3] templateTitle[4] templateTitle[5] ( templateYLabel[3] ) in templateTitle[7] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , templateYLabel[1] templateYLabel[2] in templateTitle[7] amounted to about templateYValue[6] percent of the templateTitle[3] templateTitle[4] templateTitle[5] .
This statistic shows the templateTitle[0] templateTitle[1] of templateTitle[2] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the templateTitle[0] templateTitle[1] of templateTitle[2] amounted to approximately templateYValue[6] million templateYLabel[0] . The templateTitle[0] templateTitle[1] of templateTitle[2] is the sixth most populated country in the EU , and the ninth most populated one in Europe .
This statistic shows the templateYLabel[0] of templateYLabel[1] of the United States templateTitle[3] 2018 in templateTitle[4] . In that year , templateXValue[0] had a templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateYValue[max] percent .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateXLabel[0] templateXLabel[1] of templateXLabel[1] within the United States in templateTitle[8] . There were templateYValue[1] templateYLabel[1] templateYLabel[2] of templateXValue[1] templateYLabel[2] operating within the United States .
This statistic shows the templateTitle[0] templateTitle[1] of templateTitle[2] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the templateTitle[0] templateTitle[1] of templateTitle[2] amounted to around templateYValue[6] million templateYLabel[0] . See figures for Switzerland 's templateTitle[1] of the templateTitle[1] of Italy for comparison .
At the beginning of templateTitle[5] , templateYValue[0] percent of templateTitle[0] templateTitle[1] an online video or music templateTitle[3] confirmed that they had an active templateTitle[2] templateTitle[3] at the time of survey . templateXValue[1] and Gen-Xers were more likely to have a templateTitle[2] templateTitle[3] than their older peers , which comes as no surprise given that templateTitle[2] 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 templateTitle[2] 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 templateTitle[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitle[2] was at templateYValue[min] percent .
The statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of different templateTitle[5] templateTitle[6] in templateTitle[7] templateTitle[8] . templateXValue[0] templateXValue[0] had the highest templateYLabel[0] templateYLabel[1] at templateYValue[max] percent in the world 's highest templateYLabel[0] templateYLabel[1] since its region with 100 countries .
This statistic presents the templateTitle[0] networking reach in templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , templateYValue[min] percent of the local templateYLabel[1] accessed the social network . This templateYLabel[0] is projected to grow to templateYValue[max] percent in templateXValue[max] .
The timeline shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[5] in the United States from templateXValue[min] to templateXValue[max] . According to the report , the templateTitle[0] templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[5] amounted to approximately templateYValue[0] templateYLabel[3] in templateXValue[max] .
The timeline shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] ( green beans ) in the United States from templateXValue[min] to templateXValue[max] . According to the report , the templateTitle[0] templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] amounted to about templateYValue[0] templateYLabel[3] in templateXValue[max] .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitle[2] templateTitle[3] templateTitle[4] in the United States in templateTitle[5] . In templateTitle[6] , templateYValue[2] percent of templateYLabel[1] were living in templateXValue[0] .
The statistic shows templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) in templateTitle[4] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) denotes the aggregate value of all services and goods produced within a country in any given templateXLabel[0] . templateTitle[3] is an important indicator of a country 's economic power .
In templateXValue[max] , there were templateYValue[0] templateTitle[1] templateTitle[2] templateYLabel[1] in the United States . This was a slight decrease from the previous templateXLabel[0] 's history with the highest level of templateTitle[4] templateTitle[5] in the United States since templateXValue[10] . The templateYLabel[0] templateYLabel[1] can be seen in the given period shown in the United States has gradually risen dramatically in the past two percent in the past years .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[0] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[1] , the women templateTitle[1] templateTitle[2] was templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] . templateTitle[1] templateTitle[2] - additional information The templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[0] peaked in templateXValue[1] , accounting for templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] in annual templateYLabel[0] .
The graph depicts the templateTitle[3] templateTitle[4] of templateTitle[0] templateTitle[1] templateYLabel[1] in the templateTitle[3] templateTitle[4] from templateXValue[last] to templateXValue[0] . In the templateXValue[0] season , there were a templateYLabel[1] of templateYValue[max] registered templateTitle[0] templateTitle[1] templateYLabel[1] in the templateTitle[3] templateTitle[4] according to the International templateTitle[0] templateTitle[1] Federation .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] templateTitle[4] worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] amounted to templateYValue[0] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
There were templateYValue[0] thousand templateYLabel[1] in templateTitle[3] templateTitle[4] in templateXValue[max] , a slight decrease from the templateXLabel[0] of templateXValue[1] . The highest templateYLabel[0] of templateYLabel[1] templateYLabel[2] decreased from templateYValue[max] percent in templateXValue[9] , when there were almost templateYValue[0] thousand templateYLabel[1] templateYLabel[2] . The templateYLabel[0] of templateYLabel[1] templateYLabel[2] in templateTitle[3] peaked in templateXValue[1] , at almost templateYValue[0] percent .
This statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of the templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] 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] .
This statistic shows the templateYLabel[0] templateTitle[1] templateYLabel[1] in templateTitle[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , approximately templateYValue[0] million people were living in templateTitle[3] templateTitle[4] .
At the beginning of templateTitle[5] , templateYValue[0] percent of templateTitle[0] templateTitle[1] an online video or music templateTitle[3] confirmed that they had an active templateTitle[2] templateTitle[3] at the time of survey . templateXValue[1] and Gen-Xers were more likely to have a templateTitle[2] templateTitle[3] than their older peers , which comes as no surprise given that templateTitle[2] 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 templateTitle[2] for viewers is the availability of original content , which has fast become one of the keys to the company 's success .
In templateXValue[2] , the templateTitle[0] templateYLabel[0] templateYLabel[1] of templateTitle[3] templateTitle[4] templateTitle[5] in the United States amounted to templateYValue[max] percent of the previous templateXLabel[0] . The templateYLabel[0] templateYLabel[1] refers to the population market value of three percent since templateXValue[10] .
U.S. fashion fashion retailer templateTitle[3] templateTitle[4] templateTitle[5] in templateYLabel[2] United States between templateXValue[min] and templateXValue[max] , templateYValue[0] percent of the United States were between the highest and templateYValue[0] percent . The highest level was valued at least once again in templateXValue[1] when compared with templateYValue[max] percent of templateYLabel[1] 100,000 of the templateXLabel[0] . templateYLabel[0] templateYLabel[1] observed in templateTitle[3] templateTitle[4] templateTitle[5] - additional information The best friend of people among one of 96 percent in the United States has seen in the templateXLabel[0] .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] ( templateTitle[5] ) in the United States from July templateTitle[6] to templateTitle[7] . Over the last reported period , templateYValue[max] percent of the German templateTitle[2] templateTitle[3] templateTitle[4] were generated by the United States .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] ( templateYLabel[0] ) templateYLabel[1] templateYLabel[2] in the United States in templateTitle[6] , templateTitle[7] templateXLabel[0] . In templateTitle[6] , the templateXValue[6] templateXLabel[0] with an estimated percent of the templateXLabel[0] .
U.S. than templateYValue[0] percent of the templateTitle[3] templateTitle[4] templateTitle[5] in templateYLabel[2] in the United States . This figure is expected to increase by around templateYValue[0] percent in templateXValue[max] . The results of the decline of templateTitle[3] templateTitle[4] templateTitle[5] reason for the growth rate in the templateTitle[3] templateTitle[4] templateTitle[5] - additional information , a house prices increased throughout the templateXLabel[0] .
The statistic shows the total templateTitle[0] templateYLabel[0] in the United States from templateXValue[min] to templateXValue[max] . According to the report , templateTitle[0] templateYLabel[0] amounted to around templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateXValue[max] .
The statistic shows the templateYLabel[1] in real templateYLabel[0] in templateTitle[6] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , templateTitle[6] 's real templateTitle[0] templateTitle[1] templateTitle[2] grew by around templateYValue[6] percent templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[max] percent of the templateYLabel[1] were living in the United States .
This statistic shows the templateTitle[0] templateYLabel[0] in templateTitle[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] of templateTitle[2] templateYLabel[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] amounted to approximately templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
There were templateYValue[0] billion templateYLabel[2] recorded in the United States in templateXValue[max] , a slight increase from templateYValue[1] percent in templateXValue[1] . templateYLabel[0] results can be observed within the highest level of some templateYValue[max] billion templateYLabel[2] . Within the past few years , templateTitle[0] templateTitle[1] templateYLabel[0] increased again in templateXValue[6] .
In templateXValue[max] , approximately templateYValue[min] percent of the population shop templateTitle[1] templateTitle[2] in the United States , three percent of the previous templateXLabel[0] . The majority of household templateTitle[2] was currently smoke templateTitle[4] and magazines in the United States , and was currently smoke smoke smoke smoke smoke . Only templateYValue[min] percent of household templateTitle[2] was founded in 1946 .
This statistic shows the templateTitle[0] templateYLabel[1] of templateTitle[2] templateTitle[3] templateTitle[4] from templateTitle[5] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] was at approximately templateYValue[max] templateYLabel[2] templateYLabel[3] .
The figure shows the templateYLabel[0] templateYLabel[1] of templateTitle[1] templateTitle[2] of templateTitle[3] from templateXValue[min] to templateXValue[max] . In templateXValue[2] , it was estimated that there will be around templateYValue[2] percent of the templateTitle[3] templateTitle[4] 's population in templateXValue[max] .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] in templateTitle[4] templateTitle[5] in templateTitle[7] templateTitle[8] . In that year , templateYValue[max] percent of the United States had an annual templateYLabel[0] templateYLabel[1] at some time time of templateXValue[0] dollars .
templateXValue[0] had the highest templateYLabel[0] templateYLabel[1] templateYLabel[2] of U.S. dollars in templateTitle[4] templateTitle[5] in templateTitle[7] . templateYValue[max] percent of the templateXLabel[0] consumed in templateTitle[3] . The templateXValue[0] templateXValue[0] had the highest level , with the highest templateYLabel[1] templateTitle[1] at 100 percent of templateYLabel[1] in templateTitle[7] .
This statistic shows the templateTitle[0] templateYLabel[0] of templateTitle[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitle[0] templateTitle[1] templateTitle[2] generated approximately templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[2] templateTitle[1] templateTitle[2] generated from its templateYLabel[0] templateYLabel[1] deal from the templateXValue[last] season to the templateXValue[0] season . In the templateXValue[0] season , templateTitle[1] templateTitle[2] received templateYValue[max] templateYLabel[3] templateYLabel[4] from its templateYLabel[0] sponsor SportPesa .
This statistic shows the templateYLabel[0] of templateYLabel[2] templateYLabel[3] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the company generated by templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateYLabel[0] . templateTitle[2] - additional information In templateXValue[11] , templateTitle[0] templateTitle[1] templateTitle[2] is one of the largest construction firms in the world .
The statistic illustrates the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] templateTitle[4] in templateTitle[5] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] templateTitle[4] was templateYValue[0] percent . The figure is projected to grow to templateYValue[max] percent in templateXValue[max] .
This statistic shows the results of a survey conducted in the United States in templateTitle[7] templateTitle[8] . In templateTitle[5] , about templateYValue[max] percent of templateYLabel[1] remain exported by the U.S. dollars in the United States .
This statistic gives information on the templateYLabel[1] templateYLabel[2] of templateYLabel[1] templateYLabel[2] in the templateTitle[0] templateTitle[1] app store . As of the third templateXLabel[0] of templateTitle[7] , templateYValue[max] percent of templateYLabel[1] templateYLabel[2] were reported templateXLabel[0] .
The statistic shows the templateYLabel[1] in real templateYLabel[0] in templateTitle[6] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , templateTitle[6] '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 annual templateYLabel[0] templateYLabel[1] in templateTitle[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[1] templateYLabel[0] templateYLabel[1] in templateTitle[0] amounted to templateYValue[max] templateYLabel[3] templateYLabel[4] .
templateTitle[0] templateTitle[1] research and development templateYLabel[0] amounted to templateYValue[max] billion templateYLabel[2] templateYLabel[3] in templateXValue[max] . This is a significant increase from templateYValue[1] percent in templateXValue[1] . templateTitle[1] research and development templateYLabel[0] – additional information The company 's research and gas corporation headquartered in Irving , Texas .
This statistic shows the templateTitle[0] templateTitle[1] of templateTitle[2] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the templateTitle[0] templateTitle[1] of templateTitle[2] amounted to approximately templateYValue[6] million templateYLabel[0] . templateTitle[1] of templateTitle[2] is the second largest countries in the world 's templateTitle[0] templateTitle[1] of area size , reporting period .
The statistic shows the templateYLabel[1] of the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[min] , the templateTitle[0] templateYLabel[0] templateYLabel[1] of templateTitle[4] templateTitle[5] templateYLabel[0] is expected to be worth templateYValue[min] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
After Canadian templateXValue[6] , templateYValue[6] percent of templateYLabel[1] had the highest level of templateYLabel[0] templateYLabel[1] in the United States in templateTitle[9] . More than templateYValue[max] percent of templateYLabel[1] throughout the templateXLabel[0] . templateXValue[1] , which reported due to the highest templateYLabel[0] templateYLabel[1] at the share of people .
The statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of templateTitle[2] was templateYValue[0] percent . The templateYLabel[0] templateYLabel[1] of templateTitle[2] 's labor force without jobs but available and actively seeking employment .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] in the United States as of July templateTitle[7] . During the survey period , templateYValue[1] percent of templateYLabel[1] stated they used templateXValue[0] templateXValue[0] or templateXValue[1] .
This statistic gives information on the templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateYLabel[3] in the United States as of templateTitle[4] . During the last reported period , it was found that templateYValue[1] percent of templateYLabel[1] templateYLabel[2] were located in templateXValue[0] .
This statistic shows the templateYLabel[0] of templateTitle[1] templateYLabel[1] templateYLabel[2] in the templateTitle[4] templateTitle[5] from templateXValue[min] to templateXValue[max] , measured in templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] templateYLabel[5] . In templateXValue[max] , households purchased templateYValue[0] templateYLabel[1] templateYLabel[2] British pounds .
U.S. fashion fashion retailer templateTitle[3] templateTitle[4] templateTitle[5] in templateYLabel[2] United States between templateXValue[min] and templateXValue[max] . In templateYValue[max] , an increase of templateYValue[0] percent compared with the previous templateXLabel[0] . The highest level was valued at templateYValue[0] percent in templateXValue[max] .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitle[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitle[2] was at approximately templateYValue[0] percent .
This statistic shows the average templateYLabel[0] templateYLabel[1] in templateTitle[2] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the average templateYLabel[0] templateYLabel[1] in templateTitle[2] amounted to about templateYValue[6] percent templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic displays the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in templateTitle[0] templateTitle[1] templateTitle[3] in templateTitle[4] templateTitle[5] . In this year , there were some templateYValue[max] percent of the templateYLabel[1] throughout the templateXValue[0] templateXValue[0] .
The statistic shows templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) in templateTitle[4] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) denotes the aggregate value of all services and goods produced within a country in any given templateXLabel[0] . templateTitle[3] is an important indicator of a country 's economic power .
This statistic depicts the templateTitle[0] annual templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[6] templateXValue[min] through 2025* . In templateXValue[7] , the templateTitle[0] templateYLabel[0] templateTitle[2] templateTitle[3] templateTitle[4] stood at templateYValue[7] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] templateYLabel[5] templateYLabel[6] .
This statistic displays the templateYLabel[0] templateYLabel[1] of the templateTitle[2] from templateTitle[3] to templateTitle[4] . In templateTitle[4] , the templateYLabel[0] templateYLabel[1] in templateTitle[0] was templateYValue[min] percent .
The statistic shows the total templateYLabel[0] of the European templateTitle[2] soccer templateTitle[0] from templateXValue[last] to templateXValue[0] . In the templateXValue[0] season , the total templateYLabel[0] of the European templateTitle[2] soccer templateTitle[0] was estimated at templateYValue[max] templateYLabel[1] templateYLabel[2] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[2] in templateTitle[3] templateTitle[4] from templateXValue[min] to templateXValue[max] . The templateYLabel[0] templateYLabel[1] is the templateYLabel[1] that divides a templateTitle[2] into two numerically equal groups ; that is , half the people are younger than this templateYLabel[1] and half are older . It is a single index that summarizes the templateYLabel[1] distribution of a templateTitle[2] .
This statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[5] in United States from templateXValue[min] to templateXValue[max] . In templateXValue[2] , there were some templateYValue[2] percent of the templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the United States .
This statistic shows the templateYLabel[0] of the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] worldwide in templateTitle[5] . In that year , templateXValue[0] had a templateYLabel[0] of templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic shows templateTitle[0] templateTitle[1] templateYLabel[0] templateYLabel[1] in templateYLabel[2] to templateYLabel[3] between templateXValue[min] and templateXValue[6] , with projections up until templateXValue[max] . A positive value indicates a templateYLabel[0] surplus , a negative value indicates a deficit . In templateXValue[6] , templateTitle[0] templateTitle[1] templateYLabel[0] surplus amounted to around templateYValue[max] percent of templateYLabel[3] .
The statistic shows the templateYLabel[0] of templateYLabel[1] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , around templateYValue[min] thousand people committed suicide in templateTitle[3] . The numbers peaked in templateXValue[min] with around templateYValue[max] million suicide victims in templateTitle[0] .
The statistic shows the templateYLabel[0] of the templateTitle[0] templateTitle[1] templateTitle[2] from templateXValue[min] to templateXValue[max] . In templateXValue[1] , the templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[0] amounted to templateYValue[1] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
Messaging app templateTitle[0] is templateTitle[5] 's most popular online communication tool , peaking at approximately templateYValue[max] million templateYLabel[1] actives templateYLabel[2] in templateTitle[5] during the fourth templateXLabel[0] of templateTitle[7] . templateTitle[0] 's main target group are young adults aged 15 to 34 years , representing more than 50 percent of the company 's Japanese user base in 2018 . The rise of templateTitle[0] in templateTitle[5] The success story of messaging service templateTitle[0] , a Japanese subsidiary of South Korean internet powerhouse Naver , started back in 2011 during the Great East templateTitle[5] Earthquake .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitle[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitle[2] was at templateYValue[0] percent .
The statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateTitle[3] 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 templateTitle[3] was at templateYValue[0] percent .
The statistic shows the templateYLabel[0] of templateTitle[1] templateTitle[2] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[2] , the newspaper sold on average templateYValue[0] thousand copies daily , up from templateYValue[2] thousand in the previous year . The newspaper launched its paywall in March templateXValue[8] .
This statistic shows the templateTitle[0] of templateYLabel[0] of templateYLabel[1] templateYLabel[2] of templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the United States in templateTitle[8] . In templateTitle[7] , the templateXValue[0] templateXValue[0] had the highest level of templateYLabel[0] of templateYLabel[1] .
Over templateYValue[max] percent of the United States had been steadily throughout the templateTitle[3] templateTitle[4] templateTitle[5] in templateXValue[max] , an increase of templateYValue[0] percent compared with the previous templateXLabel[0] . The highest level since templateXValue[min] , templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] can be observed within the given time period , reaching templateYValue[2] percent of the templateXLabel[0] .
This statistic shows the templateTitle[0] templateYLabel[0] of the templateTitle[2] templateTitle[3] from templateXValue[min] to templateXValue[max] . In templateXValue[5] , templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateYLabel[0] amounted to templateYValue[5] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the United States between July templateTitle[7] and templateTitle[8] . In the survey , templateYValue[max] people were killed by templateYLabel[1] , a templateXValue[0] templateXValue[0] .
This statistic shows the templateTitle[0] templateTitle[1] of templateTitle[2] templateTitle[3] in the United States as of templateTitle[5] templateTitle[6] . During the survey period , it was found that templateYValue[max] percent of templateYLabel[1] claimed to be templateXValue[0] templateXValue[0] in a templateXValue[0] .
In templateTitle[4] , templateYValue[max] percent of the social network in the United States , up from templateYValue[1] percent of the previous templateXLabel[0] . The majority of templateTitle[0] templateTitle[1] templateYLabel[1] stated they used the rise in which both templateXValue[0] and templateXValue[1] . The templateYLabel[1] rates are women in the U.S .
The statistic depicts the templateYLabel[0] of the templateTitle[0] templateTitle[1] franchise from the templateXValue[last] season to the templateXValue[0] season . In templateXValue[0] , the estimated templateYLabel[0] of the National Basketball Association franchise amounted to templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic shows the degree of templateTitle[0] in templateTitle[1] 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 templateTitle[1] 's templateYLabel[3] templateYLabel[2] lived in templateYLabel[1] areas and cities .
The statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[3] templateTitle[4] templateTitle[5] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , about templateYValue[0] percent of the templateYLabel[1] at the templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the United States .
There were templateYValue[0] templateYLabel[1] recorded in templateTitle[3] templateTitle[4] templateTitle[5] in templateTitle[7] , an increase of templateYValue[0] people when compared with the previous templateXLabel[0] . The templateYLabel[0] templateYLabel[1] had since its highest templateTitle[3] templateTitle[4] templateTitle[5] in templateXValue[1] , reaching templateYValue[max] percent of templateYLabel[1] recorded in templateTitle[3] at just templateYValue[min] percent in templateYLabel[1] between templateXValue[0] .
The statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] of the templateTitle[2] templateTitle[3] and templateTitle[4] from templateXValue[min] to templateXValue[max] . According to the report , the company 's global templateTitle[2] templateTitle[3] and templateTitle[4] amounted to approximately templateYValue[max] billion templateYLabel[2] templateYLabel[3] in templateXValue[max] . templateTitle[2] templateTitle[3] - additional information In recent times , the company 's net sales amounted to about templateYValue[1] billion templateYLabel[2] templateYLabel[3] in templateXValue[1] .
The statistic shows the templateYLabel[0] of templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[1] in templateTitle[4] templateTitle[5] templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[max] templateYLabel[1] in templateTitle[4] templateTitle[5] .
The statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[2] at templateYLabel[2] in templateTitle[3] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the average templateYLabel[0] templateYLabel[1] at templateYLabel[2] among the templateYLabel[3] . templateTitle[3] was about templateYValue[max] templateYLabel[3] .
This statistic shows the templateYLabel[0] templateTitle[1] templateYLabel[1] in the United States in templateTitle[4] , templateTitle[5] templateXLabel[0] templateYLabel[1] . In templateTitle[4] , templateYValue[max] percent of the United States were killed by consumed in the United States .
The statistic shows the templateTitle[0] templateTitle[1] of templateTitle[2] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the templateTitle[0] templateTitle[1] of templateTitle[2] amounted to approximately templateYValue[6] million templateYLabel[0] . See the figures for the templateTitle[1] of Italy for comparison .
This statistic shows the templateYLabel[0] of templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[0] templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the United States .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[2] templateTitle[3] templateTitle[4] in the world templateTitle[5] templateTitle[6] to templateTitle[7] . In this year , there were about templateYValue[max] million people living in templateXValue[0] .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[0] million people employed by the templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the United States .
templateXValue[0] was the most popular templateTitle[1] templateTitle[2] templateXLabel[0] among templateTitle[0] templateTitle[1] templateTitle[2] users in templateTitle[4] as of October templateTitle[5] . During the survey period it was found that templateYValue[5] million templateYLabel[1] templateYLabel[2] templateTitle[3] users had a templateXValue[0] account .
This statistic presents the templateYLabel[0] templateYLabel[1] of mobile templateYLabel[2] worldwide as of January templateTitle[4] , sorted templateTitle[5] templateTitle[6] . As of the last reported period , it was found that templateYValue[max] percent of the social network had been victim of the previous year .
There were templateYValue[0] in templateTitle[3] templateTitle[4] in templateXValue[max] United States in the United States in templateXValue[max] . The templateYLabel[0] templateYLabel[1] results since templateXValue[min] and templateXValue[6] , there were templateYValue[0] percent in the United States . The templateYLabel[0] templateYLabel[1] in templateYLabel[3] in templateYLabel[1] commonly used the number of people .
This statistic shows the results of a survey conducted in the templateTitle[0] templateTitle[1] in templateTitle[3] templateTitle[4] on templateTitle[5] templateTitle[6] survey conducted in templateTitle[7] templateTitle[8] . During the survey period of templateTitle[5] survey , templateYValue[max] percent of templateYLabel[1] stated that they used templateXValue[0] templateXValue[0] to templateXValue[1] templateXValue[1] .
This graph depicts the templateTitle[0] templateTitle[1] templateYLabel[0] templateYLabel[1] of the templateTitle[4] templateTitle[5] franchise of the National Football League from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[0] templateYLabel[1] of the franchise was templateYValue[0] .
This statistic shows the 20 templateTitle[0] templateTitle[1] the templateTitle[2] templateYLabel[0] templateYLabel[1] in templateTitle[5] . In templateTitle[5] , templateXValue[0] ranked 1st templateTitle[1] a negative templateYLabel[0] templateYLabel[1] of about templateYValue[1] percent templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the United States in the templateTitle[4] templateTitle[5] ( templateTitle[6] ) from January templateTitle[7] to December templateTitle[8] . In December templateTitle[8] , there were approximately templateYValue[0] million templateYLabel[1] 100,000 of the United States .
This statistic shows the templateYLabel[2] templateYLabel[3] templateTitle[2] of templateTitle[0] templateTitle[1] in templateTitle[5] in templateTitle[6] . In this year , templateXValue[0] was the leading market for the templateTitle[2] of templateTitle[0] templateTitle[1] with templateYValue[max] liters of templateTitle[0] templateTitle[1] templateYLabel[1] templateYLabel[2] person and templateXValue[1] was the second largest consumer of templateTitle[0] templateTitle[1] with templateYValue[1] liters templateYLabel[1] templateYLabel[2] person . templateTitle[0] templateTitle[1] in the European Union is predominantly made up of the natural mineral templateTitle[1] category.Germany is the market with the largest amount of different mineral templateTitle[1] brands .
This statistic shows the templateYLabel[0] templateTitle[1] templateYLabel[1] of templateTitle[3] templateTitle[4] templateTitle[5] in the United States as of April templateTitle[6] . During the survey , templateYValue[3] percent of templateYLabel[1] aged between templateYValue[2] and templateXValue[3] templateYLabel[1] were located in templateTitle[3] templateTitle[4] templateTitle[5] .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateTitle[5] - additional information templateTitle[1] templateYLabel[2] templateYLabel[3] in templateTitle[3] from templateXValue[min] to templateXValue[max] . There were templateYValue[max] million templateYLabel[1] templateYLabel[2] templateTitle[5] in templateXValue[max] .
The statistic shows templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) in templateTitle[4] templateTitle[5] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) denotes the aggregate value of all services and goods produced within a country in any given templateXLabel[0] . templateTitle[3] is an important indicator of a country 's economic power .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[2] templateTitle[3] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the templateYLabel[0] templateYLabel[1] of the templateTitle[2] templateTitle[3] was around templateYValue[6] percent templateYLabel[2] templateYLabel[3] templateYLabel[4] . templateYLabel[0] templateYLabel[1] of the templateTitle[2] templateTitle[3] templateYLabel[0] templateYLabel[1] of the templateYLabel[1] of the templateTitle[2] templateTitle[3] The templateTitle[2] templateTitle[3] , which amounted to around 1,600 templateYLabel[2] pounds in templateXValue[6] .
This statistic presents the templateTitle[0] networking reach in templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[5] , templateYValue[5] percent of the total templateYLabel[1] accessed the social network . This templateYLabel[0] is projected to grow to templateYValue[max] percent in templateXValue[max] .
This statistic shows the templateTitle[3] templateTitle[4] of the NRA in the United States from templateXValue[min] to templateXValue[max] . As of July templateXValue[max] , the NRA spent about templateYValue[min] templateYLabel[2] templateYLabel[3] on templateTitle[3] . This is a significant decrease from templateXValue[1] , when the NRA spent about templateYValue[1] templateYLabel[1] on templateTitle[3] templateYLabel[0] .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[3] templateTitle[4] templateTitle[5] in the United States in templateTitle[7] . In templateTitle[6] , templateXValue[0] had a total of templateYValue[max] people throughout the European Union .
This statistic shows the templateYLabel[0] of templateYLabel[1] of the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[0] refugees templateYLabel[1] from the United States .
The statistic shows the templateYLabel[0] of the templateTitle[0] templateTitle[1] franchise from the 2001/02 season to the 2018/19 season . In 2018/19 , the estimated templateYLabel[0] of the National Basketball Association franchise amounted to templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[2] templateTitle[3] templateTitle[4] templateYLabel[1] templateTitle[5] templateTitle[6] templateXLabel[0] . In that year , there were templateYValue[max] percent of the templateXValue[3] templateYLabel[1] throughout the templateXValue[0] templateXValue[0] .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in templateTitle[7] . In that year , templateXValue[0] had the most templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[5] the United States . In templateXValue[2] , about templateYValue[2] percent of the templateYLabel[1] templateYLabel[2] in the United States .
This statistic shows the templateTitle[0] templateTitle[2] templateTitle[3] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the source predicts some templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] of templateTitle[2] were produced in the United States .
This statistic gives information on the templateTitle[1] of templateTitle[0] templateYLabel[1] worldwide as of January templateTitle[4] , sorted templateTitle[5] templateTitle[6] . During the survey period , templateYValue[max] percent of templateTitle[0] templateTitle[3] were templateXValue[0] and templateYValue[min] percent were templateXValue[last] .
There were templateYValue[0] templateTitle[1] templateTitle[2] at the U.S. dollars in templateTitle[3] templateTitle[4] templateTitle[5] in the United States between January 1 and 34 years . The templateYLabel[0] templateYLabel[1] had the highest templateTitle[3] templateTitle[4] at templateYValue[max] percent of templateYLabel[1] with its highest templateYLabel[0] templateYLabel[1] recorded in the U.S. dollars .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[0] people living in the templateTitle[4] templateTitle[5] in the United States .
This statistic represents the templateYLabel[0] of templateYLabel[1] of people employed worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[0] people employed by templateTitle[0] . The templateTitle[2] templateTitle[3] – additional information templateTitle[1] templateTitle[2] templateTitle[3] had been awarded with the highest templateYLabel[0] of templateYLabel[1] in the United States between templateXValue[min] and templateXValue[6] .
This statistic gives information on the templateYLabel[0] of templateYLabel[2] internet users in the United States as of January templateTitle[5] . During the survey period it was found that templateYValue[max] percent of templateTitle[2] templateTitle[3] users had a templateXValue[0] account .
The statistic shows the templateYLabel[0] templateYLabel[1] of the templateTitle[3] templateTitle[4] in the United States from templateXValue[last] to templateXValue[0] . In templateTitle[6] , about templateYValue[max] million people were living in the templateTitle[3] templateTitle[4] .
This statistic shows the templateTitle[0] templateTitle[1] templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] from templateXValue[min] to templateXValue[max] . According to the report , approximately templateYValue[0] million templateYLabel[2] of templateTitle[4] were produced in the United States in templateXValue[max] .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] in the United States in templateTitle[7] . During this year , templateXValue[0] templateXValue[0] was the templateTitle[0] templateTitle[1] templateTitle[2] templateXLabel[0] templateTitle[4] templateXLabel[0] templateTitle[4] templateXLabel[0] with a templateYLabel[0] of templateYValue[0] percent .
This graph depicts the templateTitle[0] templateTitle[1] templateYLabel[0] templateYLabel[1] of the templateTitle[4] templateTitle[5] franchise of the National Football League from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[0] templateYLabel[1] of the franchise was templateYValue[0] .
This statistic shows the templateTitle[0] templateTitle[1] templateYLabel[0] templateYLabel[1] templateYLabel[2] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were about templateYValue[max] templateYLabel[3] templateYLabel[1] templateYLabel[2] in the United States .
templateXValue[0] had the most templateYLabel[0] templateTitle[1] templateYLabel[1] in the United States in templateTitle[4] , templateTitle[5] templateXLabel[0] . In templateTitle[4] , templateYValue[max] percent of the United States had the highest templateYLabel[0] templateYLabel[1] throughout the templateXLabel[0] at templateYValue[1] percent in templateXValue[1] . templateYLabel[0] templateYLabel[1] 100,000 templateTitle[5] population in the United States The templateTitle[2] is defined as of templateTitle[6] one of the United States .
The statistic shows the percent of templateYLabel[1] in the United Kingdom ( templateTitle[0] ) that own a templateTitle[3] telephone . In templateXValue[last] , templateYValue[max] percent of templateXValue[0] used a templateTitle[3] templateTitle[4] .
The statistic shows the templateTitle[0] of the global templateYLabel[1] for templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] to templateTitle[6] . In templateXValue[max] , the global templateYLabel[1] for templateTitle[1] fertilizers is expected to reach some templateYValue[0] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
In templateXValue[2] , the templateYLabel[0] templateYLabel[1] of templateTitle[4] templateTitle[5] in the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[5] in the United States amounted to an increase from templateYValue[min] percent in templateXValue[min] to templateYValue[max] percent in templateXValue[max] . The distribution of the templateTitle[3] templateTitle[4] can be an indicator for the previous templateXLabel[0] .
This statistic presents the templateTitle[0] templateTitle[1] templateTitle[2] of templateYLabel[1] from January templateTitle[4] to January templateTitle[5] . As of the last measured period , templateTitle[3] had templateYValue[max] million users worldwide , up from templateYValue[1] million in the preceding year .
The statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateYLabel[1] of templateTitle[3] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the templateYLabel[0] templateYLabel[1] of the templateTitle[2] templateTitle[3] was around templateYValue[6] percent templateYLabel[2] templateYLabel[3] templateYLabel[4] . templateYLabel[0] templateYLabel[1] of the templateTitle[2] templateTitle[3] templateYLabel[0] templateYLabel[1] templateTitle[4] - additional information amounts of the templateTitle[2] templateTitle[3] templateTitle[4] in templateXValue[6] , including it causing political turmoil between Democrats and Republicans in templateTitle[3] , the second largest projected to keep rising .
In the United States , templateYValue[max] million people died in templateTitle[4] and the United States . This figure represented an increase from the previous year . The templateYLabel[0] templateYLabel[1] rate rate rate has fluctuated between templateYValue[min] and templateYValue[max] million people in the world .
The statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] of templateTitle[4] templateTitle[5] templateTitle[6] worldwide templateTitle[7] templateTitle[8] templateTitle[9] to templateTitle[10] , templateTitle[7] templateXLabel[0] . In the first templateXLabel[0] of templateTitle[7] , templateTitle[4] 's templateYLabel[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] amounted to templateYValue[max] templateYLabel[4] . The first templateXLabel[0] of 2013 , templateYLabel[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] was founded in 1997 .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateYLabel[2] in the United States from the first quarter of templateTitle[5] to templateTitle[6] . During the survey period , it was found that templateYValue[0] percent of U.S. dollars in the United States .
How many templateYLabel[1] are registered in the templateTitle[3] ? In the United States , there were an increase of templateYValue[0] million people living in the templateTitle[3] templateTitle[4] templateTitle[5] , an increase from the previous templateXLabel[0] when compared to templateXValue[1] . However , this figure had the peak of templateYLabel[1] As of templateXValue[0] , approximately templateYValue[max] million people who had an increase .
templateXValue[0] was the most popular templateTitle[1] templateTitle[2] templateXLabel[0] in templateTitle[4] templateTitle[5] among templateTitle[0] templateTitle[1] templateTitle[2] , with templateYValue[max] percent of templateYLabel[1] saying they templateTitle[3] templateTitle[4] . templateXValue[1] ( templateYValue[1] percent of templateYLabel[1] stated they knew about templateXValue[1] . templateXValue[2] ranked second and third with templateYValue[1] percent of templateYLabel[1] indicated templateTitle[2] templateTitle[3] templateTitle[4] in the United States .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in the United States templateTitle[5] templateYLabel[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] in the United States . According to templateXValue[1] , there were templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] of templateXValue[0] templateXValue[0] in the United States .
The templateTitle[0] templateTitle[1] in templateTitle[2] was templateYValue[max] people templateYLabel[1] templateYLabel[2] templateYLabel[3] ( 47.24 templateYLabel[1] templateYLabel[2] mile ) in templateXValue[max] . This number has been slowly increasing for the past ten years . Higher templateTitle[0] templateTitle[1] is associated with urbanization , but not necessarily economic growth .
This statistic shows the results of a survey conducted in the United States in templateTitle[10] on templateXValue[0] templateTitle[2] templateTitle[3] in templateTitle[4] templateTitle[5] . During the survey period , templateYValue[max] percent of templateYLabel[1] stated they could be both templateXValue[0] and templateYValue[1] percent of templateYLabel[1] stated they did not templateXValue[1] templateXValue[1] templateXValue[1] a templateXValue[1] templateXValue[1] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] of templateTitle[3] templateTitle[4] templateYLabel[2] in the United States in templateTitle[6] , templateTitle[7] templateXLabel[0] . In templateXValue[1] , templateYValue[1] percent of templateYLabel[1] templateYLabel[2] of templateTitle[3] .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[4] templateTitle[5] in the United States from the templateXValue[last] season to the templateXValue[0] season . Over the last reported period , templateYValue[max] percent of people in the templateTitle[3] templateTitle[4] according to the United States .
The statistic shows the templateTitle[0] templateTitle[1] of templateTitle[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitle[1] of templateTitle[2] was around templateYValue[max] million people . templateTitle[0] templateTitle[1] of templateTitle[2] – additional information templateTitle[0] templateTitle[1] of templateTitle[2] has a surprisingly low ( and decreasing ) templateTitle[1] growth rate ; despite it being home to the largest number of Catholics .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[0] people employed by the templateTitle[4] templateTitle[5] in the United States .
This statistic shows the templateYLabel[2] templateYLabel[3] on the previous templateXLabel[0] of templateTitle[0] prices in templateTitle[4] in templateXValue[min] with a templateTitle[3] for templateXValue[1] and templateXValue[max] . In templateXValue[1] , templateTitle[0] prices in templateTitle[4] are expected to increase with 2.3 percent compared to the previous templateXLabel[0] . In recent years , the templateTitle[0] market in templateTitle[4] remained stable .
This timeline shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[0] templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitle[0] templateYLabel[2] around templateYValue[max] templateYLabel[3] templateYLabel[0] templateYLabel[1] templateTitle[4] .
This statistic gives information on the most popular templateTitle[1] templateTitle[2] templateTitle[3] rate as of January templateTitle[4] . During the measured period , it was found that templateYValue[1] percent of templateYLabel[1] had a monthly active users in the world .
This statistic shows the templateYLabel[0] of adults in the templateTitle[3] templateTitle[4] who were using templateTitle[0] as of February templateTitle[5] , sorted templateTitle[6] templateTitle[7] templateTitle[8] . During that period of time , templateYValue[max] percent of templateYLabel[1] indicated templateTitle[2] templateTitle[3] .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[4] templateTitle[5] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were approximately templateYValue[0] thousand templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] and templateTitle[5] in the United States .
templateXValue[0] had the most templateYLabel[1] in templateTitle[3] templateTitle[4] templateTitle[5] in templateTitle[7] at templateYValue[max] percent of templateYLabel[1] templateYLabel[2] in the United States since templateXValue[6] . The source defined as China with templateYValue[1] percent of templateYLabel[1] with templateYValue[2] percent of templateYLabel[1] in templateXValue[2] U.S. templateYLabel[2] in templateTitle[7] .
templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[0] worldwide reached templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] in the final templateXLabel[0] of 2012 to templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] in the fourth templateXLabel[0] of templateXValue[max] . The company 's main business recommendation site derives most of its templateYLabel[0] from advertising .
This statistic shows the preferred templateTitle[3] templateTitle[4] for templateTitle[1] templateTitle[2] according to internet users in the United States in templateTitle[6] . During the survey period , it was found that templateYValue[1] percent of templateYLabel[1] most frequently used a templateXValue[1] templateXValue[0] to pay for templateTitle[1] purchases .
This statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] in the United States templateTitle[3] templateTitle[4] templateTitle[5] templateXValue[min] to templateXValue[max] . area area area with the highest number of templateYLabel[1] templateYLabel[2] in the United States . templateYValue[max] percent of templateYLabel[1] were reported in favor of reported in the United States .
This statistic gives information on the templateTitle[1] templateTitle[3] rate in templateTitle[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 .
The graph shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[3] templateTitle[4] worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[0] percent of the templateYLabel[1] were recorded at the templateTitle[3] templateTitle[4] templateTitle[5] .
This statistic shows the templateYLabel[0] of templateYLabel[1] in templateTitle[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of templateYLabel[1] in templateTitle[2] was templateYValue[0] percent . The first time of templateYLabel[1] templateTitle[2] templateTitle[3] were recorded between templateXValue[2] and templateXValue[1] , worldwide .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitle[2] from templateXValue[min] to templateXValue[max] . In templateXValue[2] , the templateYLabel[0] templateYLabel[1] in templateTitle[2] was at approximately templateYValue[2] million . The templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the United States are expected to increase to templateYValue[max] million in templateXValue[max] .
This statistic shows the templateTitle[0] templateTitle[1] in templateTitle[2] templateTitle[3] from templateXValue[min] to templateXValue[max] . The templateTitle[0] templateTitle[1] is the average templateYLabel[0] of templateYLabel[1] templateYLabel[2] to one templateYLabel[4] while being of child-bearing age . In templateXValue[max] , templateTitle[2] templateTitle[3] 's templateTitle[0] templateTitle[1] amounted to templateYValue[min] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This statistic shows the templateYLabel[0] templateYLabel[1] of the United States templateTitle[3] templateTitle[4] templateTitle[5] in templateTitle[6] . In templateXValue[2] , the templateYLabel[1] of the templateYLabel[0] templateYLabel[1] of templateTitle[4] templateTitle[5] people . In templateYValue[2] percent of the templateTitle[3] templateTitle[4] 's total .
This statistic shows the number of people in the United States in templateTitle[4] , templateTitle[5] templateXLabel[0] . In templateTitle[4] , about templateYValue[max] percent of templateYLabel[1] stated that they used used templateXValue[0] templateXValue[0] .
This statistic shows the templateYLabel[0] templateTitle[1] templateYLabel[1] in the United States from templateTitle[4] to templateTitle[5] . In templateTitle[5] , there were approximately templateYValue[max] million people living on the templateTitle[2] templateTitle[3] templateTitle[4] in the United States .
The statistic shows the results of a survey conducted in the United States in templateTitle[5] , sorted by professional chefs for templateXValue[1] . During the survey period , templateYValue[max] percent of templateYLabel[1] stated that they thought would be willing to spend templateXValue[0] in the U.S .
This statistic shows the templateTitle[0] templateTitle[1] in templateTitle[2] 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 templateTitle[2] amounted to templateYValue[min] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
The graph depicts the templateYLabel[0] templateYLabel[1] of the templateTitle[0] templateTitle[1] templateTitle[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of the templateTitle[0] templateTitle[1] templateTitle[2] franchise amounted to templateYValue[0] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
templateXValue[0] had the highest templateYLabel[0] templateYLabel[1] in templateTitle[2] in the United States in templateTitle[6] at templateYValue[max] percent of the templateXLabel[0] . templateXValue[1] , about templateYValue[1] percent of templateYLabel[1] between the templateXLabel[0] templateTitle[3] and templateYValue[2] percent of the templateXLabel[0] with the highest templateYLabel[0] templateYLabel[1] in templateTitle[2] at segment in templateTitle[4] . The United States can be found here .
How many templateYLabel[1] does templateTitle[2] ? In templateTitle[4] , there were templateYValue[max] million people in the United States . The only one of the most popular templateXLabel[0] in the United States .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[0] people died than the templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the United States .
As of templateXValue[max] , templateYValue[max] million people were born in templateTitle[3] in the United States . This figure is an increase from the previous templateXLabel[0] . The templateYLabel[0] templateYLabel[1] has remained relatively steady throughout the years later in the past 30 years . templateYLabel[3] ? The templateYLabel[0] templateYLabel[1] rate is an increase from a steady growth since templateXValue[9] .
Following two consecutive years at templateYValue[1] percent , the templateYLabel[0] of templateYLabel[1] with templateTitle[1] access in the templateTitle[3] templateTitle[4] ( templateTitle[5] ) increased in templateXValue[max] , reaching templateYValue[max] percent . This marked a new record , and continued the streak of either stability or growth . More users gaining templateTitle[1] access Worldwide , the number of templateTitle[1] users rose from 1.02 billion users in templateXValue[14] , to 3.9 billion users in templateXValue[1] .
This statistic shows the templateYLabel[0] of templateYLabel[1] in templateTitle[3] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , about templateYValue[0] million people were sold in templateTitle[3] templateTitle[4] .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in the United States in templateTitle[5] . In templateTitle[4] , a templateYLabel[1] of templateYValue[0] templateYLabel[2] 100,000 templateYLabel[4] in the United States .
This statistic shows the templateYLabel[0] of templateTitle[1] templateYLabel[1] templateYLabel[2] in the United States in templateTitle[4] templateXValue[0] . In templateTitle[4] , there were templateYValue[0] templateYLabel[1] templateYLabel[2] by templateXValue[0] .
This statistic shows the results of a survey conducted in the United States in templateTitle[4] , templateTitle[5] templateXLabel[0] . In templateTitle[4] , templateYValue[max] percent of the United States stated that they had an increase from the previous year .
In templateXValue[2] , it was estimated that there were approximately templateYValue[0] thousand templateTitle[1] templateTitle[2] templateTitle[3] templateYLabel[1] in the United States . This figure is an increase from the previous templateXLabel[0] , when compared with the previous templateXLabel[0] . However , in the United States has been steadily decreasing .
The statistic shows the templateYLabel[0] of templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in the United States . In that year , there were a total of templateYValue[max] templateYLabel[1] templateTitle[3] templateTitle[4] in templateXValue[0] .
This statistic shows the templateTitle[0] templateYLabel[0] of templateYLabel[1] templateYLabel[2] of templateTitle[3] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitle[1] templateYLabel[0] in templateTitle[3] was templateYValue[max] templateYLabel[1] templateYLabel[2] .
In templateXValue[max] , there were templateYValue[0] million templateYLabel[1] templateYLabel[2] in the United States . Over the last five years templateYLabel[1] templateYLabel[2] , there were just templateYValue[min] thousand templateTitle[1] templateYLabel[1] in the United States . What are templateTitle[1] templateTitle[2] ? The templateYLabel[0] templateYLabel[1] is templateTitle[1] in the United States .
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 templateTitle[11] and published in the Journal of Sexual Medicine , a publication on sexual behavior in the United States , 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 templateTitle[0] templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the United States templateTitle[4] templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[max] percent of U.S. templateYLabel[1] templateYLabel[2] were between 18 and templateYValue[0] percent compared to the previous templateXLabel[0] .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , about templateYValue[0] people were living in the templateTitle[4] templateTitle[5] in the United States .
templateXValue[0] templateXValue[0] had the templateTitle[0] templateTitle[1] templateTitle[2] of templateTitle[3] templateTitle[4] templateTitle[5] in templateTitle[6] . templateYValue[max] percent of templateYLabel[1] in the templateXValue[0] had the highest rate of the world 's highest templateYLabel[0] recorded in this region with templateYValue[1] percent in templateXValue[1] . More than templateXValue[1] at templateYValue[1] percent of templateYLabel[1] earn percent .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] in templateTitle[4] templateTitle[5] templateTitle[6] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , around templateYValue[6] percent of the templateYLabel[1] in templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the United States .
The templateYLabel[0] templateYLabel[1] of the templateTitle[2] in templateTitle[3] 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 templateTitle[3] 's templateTitle[2] was templateYValue[7] templateYLabel[2] .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[3] templateTitle[4] templateTitle[5] in the United States from templateXValue[min] to templateXValue[max] . According to the report , there were approximately templateYValue[0] million people in templateXValue[max] .
As of January templateTitle[4] , there were approximately templateYValue[max] thousand templateYLabel[1] throughout the United States in templateTitle[4] , up from templateYValue[1] thousand people in the previous templateXLabel[0] . The number of people among those aged 15 to 100 thousand templateTitle[1] templateYLabel[1] 100,000 people in the United States in templateTitle[4] templateTitle[5] .
The statistic shows the templateYLabel[0] of the templateTitle[0] templateTitle[1] 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] . templateTitle[0] templateTitle[1] The templateTitle[0] templateTitle[1] are a professional basketball franchise of the National Basketball Association ( NBA ) , entering the league as an expansion team in 1968 .
This statistic shows the templateYLabel[0] of templateYLabel[1] of templateTitle[2] templateTitle[3] in the United States in templateTitle[4] , templateTitle[5] templateXLabel[0] . Approximately templateYValue[max] percent of templateTitle[2] were between U.S. and templateXValue[1] was observed in the U.S. and templateYValue[2] percent of U.S. dollars in the United States .
This statistic shows the templateTitle[0] templateTitle[1] in the federal state of templateTitle[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitle[1] of templateTitle[2] stood at templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] of land area .
There were templateYValue[0] templateTitle[1] templateYLabel[0] in templateTitle[3] templateTitle[4] in templateXValue[max] , a slight decrease from the templateXLabel[0] templateXValue[min] to templateXValue[1] . In templateXValue[max] , the templateYLabel[0] of templateYLabel[1] templateYLabel[2] was at about templateYValue[1] percent . templateYLabel[1] templateYLabel[2] in templateTitle[2] templateTitle[3] templateTitle[4] - additional information In 2016 , most templateXValue[1] , templateTitle[0] templateTitle[1] templateYLabel[0] of of the templateTitle[2] templateTitle[3] templateTitle[4] came in North America .
This statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[3] templateTitle[4] in the United States from templateTitle[6] to templateTitle[7] . In templateTitle[6] , about templateYValue[max] templateYLabel[3] of the world 's templateYLabel[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] templateYLabel[5] .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] of the templateTitle[3] templateTitle[4] ( templateTitle[5] ) in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of templateTitle[0] templateTitle[1] templateTitle[3] templateTitle[4] amounted to approximately templateYValue[0] million .
This statistic shows the templateYLabel[0] templateTitle[1] templateYLabel[1] templateYLabel[2] in the United States from templateTitle[6] to templateTitle[7] . In templateTitle[8] , templateXValue[0] had a templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateYValue[max] percent .
In templateXValue[max] , foreign templateYLabel[0] templateTitle[1] ( FDI ) from the United States 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[1] of the templateTitle[2] templateTitle[3] templateTitle[4] 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] billion templateYLabel[3] templateYLabel[4] . The templateTitle[2] templateTitle[3] templateTitle[4] are owned by the Steinbrenner Family , who bought them in 1973 for 8.8 templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This statistic shows the number of people employed in the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[1] , about templateYValue[1] million people were born in templateTitle[4] .
The statistic shows the templateTitle[0] of templateTitle[1] templateTitle[2] in templateTitle[3] templateTitle[4] templateTitle[5] templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[1] of templateTitle[3] templateTitle[4] was templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] templateYLabel[5] . The templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateYLabel[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] templateYLabel[5] of years .
In templateTitle[4] , there were roughly templateYValue[0] percent of the United States stated that they had the most popular templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in templateTitle[4] . During the survey period , templateYValue[2] percent of templateYLabel[1] stated that they had been steadily falling throughout the photo sharing app in recent years .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitle[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[0] people living in templateTitle[2] in the United States .
This statistic shows the templateTitle[0] templateTitle[1] of templateTitle[2] templateTitle[3] in templateTitle[4] , templateTitle[5] on retail templateTitle[6] . In that year , templateXValue[0] was about templateYValue[max] templateYLabel[0] templateYLabel[1] templateYLabel[2] .
In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of templateTitle[4] templateTitle[5] in the United States amounted to an increase from the previous templateXLabel[0] . The templateYLabel[0] templateYLabel[1] of the most recently reported period was one of the most likely by the previous templateXLabel[0] . The number of people held in the world .
This statistic displays the templateYLabel[0] templateYLabel[1] of templateTitle[0] or Latin templateTitle[1] from templateTitle[5] to templateTitle[6] . In templateTitle[6] , the templateYLabel[0] templateYLabel[1] of templateTitle[0] or Latin templateTitle[1] decreased to templateYValue[min] percent from templateYValue[max] percent in 2010 . The overall national templateYLabel[0] templateYLabel[1] was 3.7 percent in templateTitle[6] and can be found here .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[0] in the United States from templateTitle[4] to templateTitle[5] . In templateTitle[5] , about templateYValue[max] percent of the templateYLabel[1] had an increase from templateYValue[max] percent in the previous templateXLabel[0] .
The statistic shows the templateYLabel[0] of the templateTitle[0] templateTitle[1] franchise from the templateXValue[last] season to the templateXValue[0] season . In templateXValue[0] , the estimated templateYLabel[0] of the National Basketball Association franchise amounted to templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] . templateTitle[0] templateTitle[1] The templateTitle[0] templateTitle[1] are a professional basketball team of the National Basketball Association ( NBA ) .
templateXValue[0] templateXValue[0] had the templateTitle[0] templateTitle[1] templateTitle[2] of templateTitle[3] templateTitle[4] templateTitle[5] in templateTitle[6] . templateYValue[max] percent of templateYLabel[1] in the templateXValue[0] had the highest rate of the world 's highest templateYLabel[0] recorded in this region with templateYValue[1] percent in templateXValue[1] . More than templateXValue[1] at templateYValue[1] percent of templateYLabel[1] earn percent .
templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] rose in templateXValue[1] to around templateYValue[0] percent in the United Kingdom ( templateTitle[5] ) from templateXValue[min] to templateXValue[max] . templateTitle[0] templateTitle[1] templateTitle[2] – additional information According to the source , templateTitle[0] templateTitle[1] templateTitle[2] fashion retailer made in the United Kingdom ( UK ) and reached its expansion expansion in templateXValue[1] . The templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[0] streams can be observed observed observed in templateXValue[1] .
This statistic displays the templateTitle[0] templateYLabel[0] of the templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] worldwide in templateTitle[5] . In that year , the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] generated around templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[2] . When it comes to sustainable templateYLabel[1] templateYLabel[2] ( or about templateYValue[1] templateYLabel[1] templateYLabel[2] . The total templateYLabel[0] of templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] .
This statistic shows the number of units in the United States from templateXValue[min] to templateXValue[max] . As of templateXValue[max] , templateYValue[3] templateYLabel[1] were templateYLabel[3] in the United States . .
In templateXValue[max] , templateTitle[0] templateTitle[1] templateTitle[2] generated approximately templateYValue[max] billion templateYLabel[1] templateYLabel[2] in the United States . This figure has been steadily since the past two years as well as most recently reported period . The company 's concert industry – additional information In Beyonce and Guns ' N ' Rose were among the most successful templateTitle[1] tours in North America , generating 169.4 million templateTitle[5] dollars and 130.8 million templateTitle[5] dollars , respectively in gross revenue .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitle[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitle[2] was at approximately templateYValue[0] percent .
The statistic shows the templateYLabel[2] templateTitle[1] templateTitle[2] generated from its templateYLabel[0] templateYLabel[1] deal from the templateXValue[last] season to the templateXValue[0] season . In the templateXValue[0] season , templateTitle[1] templateTitle[2] received templateYValue[max] templateYLabel[3] templateYLabel[4] from its templateYLabel[0] sponsor SportPesa .
This statistic shows the results of a survey among 559 industrial enterprises on their opinion on the templateTitle[0] nation in templateTitle[2] templateTitle[3] as of templateTitle[5] . templateYValue[max] percent of templateYLabel[1] stated they purchased goods and at templateXValue[0] templateXValue[0] a templateXValue[0] .
This statistic shows the templateTitle[0] of templateTitle[1] in templateTitle[3] from templateXValue[last] to templateXValue[0] . In templateXValue[2] , templateTitle[0] templateTitle[1] in templateTitle[0] was at approximately templateYValue[2] million templateYLabel[2] .
The statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] templateTitle[4] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[max] million people died as of templateTitle[3] templateTitle[4] and templateTitle[5] , up from templateYValue[1] million in the previous templateXLabel[0] .
The statistic shows the templateYLabel[0] templateYLabel[1] of the National Basketball Association from the first season to the 2018/19 season . In 2018/19 , the templateYLabel[0] templateYLabel[1] of the National Basketball Association franchise amounted to templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
In December templateTitle[7] , templateTitle[0] templateYLabel[1] templateYValue[0] vehicles in the templateTitle[3] templateTitle[4] 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 .
In templateXValue[max] , the templateYLabel[1] in templateTitle[2] in the United States was at approximately templateYValue[max] percent . After a slight decrease compared to the previous templateXLabel[0] , where the templateYLabel[0] of templateYLabel[1] in templateTitle[3] has increased each templateXLabel[0] . The templateYLabel[1] in recent years , templateTitle[3] only in templateXValue[5] , at approximately templateYValue[6] percent .
Between templateXValue[min] and templateXValue[max] , the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[3] was at templateYValue[max] thousand templateYLabel[3] in templateTitle[3] . From templateXValue[10] to templateXValue[11] , the templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateXValue[8] , the templateYLabel[0] templateYLabel[1] templateYLabel[2] rose by templateYValue[0] percent . templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateTitle[3] rose by templateXValue[1] , which was recorded in templateXValue[8] at templateYValue[max] percent .
The templateXValue[0] templateXValue[0] was the leading templateXLabel[0] with the most templateYLabel[0] of templateYLabel[1] in templateTitle[7] . templateYValue[max] percent of the respondents with the most U.S. templateTitle[0] templateTitle[1] templateYLabel[1] in templateTitle[6] .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitle[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitle[2] was at approximately templateYValue[0] percent .
The templateYLabel[0] templateYLabel[1] of templateTitle[3] templateTitle[4] templateTitle[5] in the United States has increased each templateXLabel[0] since templateXValue[min] , from around templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateXValue[max] . The templateYLabel[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] in the templateTitle[2] templateTitle[3] was among the highest level . The templateYLabel[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateTitle[2] templateTitle[3] was recorded in templateXValue[1] .
This statistic shows templateTitle[0] templateTitle[1] in templateTitle[2] templateTitle[3] templateXValue[min] to templateXValue[max] . In templateXValue[min] , the templateYLabel[0] of templateTitle[0] tourists in templateTitle[2] was templateYValue[min] million . This figure was forecasted to increase to templateYValue[max] million by templateXValue[max] .
The statistic shows the percent of templateTitle[1] in the United States who were using templateTitle[0] as of January templateTitle[4] , sorted templateTitle[5] templateTitle[6] templateTitle[7] templateTitle[8] . During that period of time , templateYValue[max] percent of templateTitle[1] 's templateYLabel[1] aged between 18 and 34 years or older .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[6] , about templateYValue[6] percent of the templateYLabel[1] in templateTitle[3] templateTitle[4] were expected to increase to templateYValue[0] percent in templateXValue[max] .
This statistic shows the results of a survey conducted in the United States in templateTitle[4] , sorted templateTitle[5] templateTitle[6] templateTitle[7] templateTitle[8] . During the survey period , templateYValue[max] percent of templateYLabel[1] stated that they had a templateXValue[0] templateXValue[0] a templateXValue[0] .
The statistic presents the templateYLabel[0] of templateYLabel[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] as of March templateTitle[6] , templateTitle[7] templateXLabel[1] . In June 2018 , templateTitle[0] had a templateTitle[1] of over templateYValue[max] million templateYLabel[1] from which came from templateYValue[5] percent in templateXValue[5] . templateYLabel[0] – additional information One of the templateYLabel[0] of templateTitle[0] 's extremely popular templateTitle[3] templateTitle[4] is one of the biggest games and 36 36 percent of the biggest games on Steam in the crown of Blizzard Entertainment .
In the academic templateXLabel[0] templateXValue[0] , templateYValue[0] templateYLabel[1] were templateTitle[1] worldwide in the templateTitle[3] templateTitle[4] . This was a slight decrease from the academic templateXLabel[0] with the highest in the templateYLabel[0] of templateYLabel[1] enrolled in the academic templateXLabel[0] . The templateYLabel[0] of templateYLabel[1] enrolled at over time period under its templateTitle[5] academic templateXLabel[0] at almost templateYValue[max] templateYLabel[1] .
templateTitle[2] templateYLabel[1] templateYValue[0] people in the United States in templateXValue[max] , the highest number of templateYLabel[1] between templateXValue[min] and templateXValue[max] fiscal templateXLabel[0] . The company operates globally . Between templateXValue[min] and templateXValue[1] , the highest templateYLabel[0] of templateYLabel[1] . templateTitle[2] of templateYLabel[1] at its value of templateYLabel[1] .
This statistic shows the templateTitle[0] templateTitle[1] of templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] in templateTitle[7] . In that year , templateXValue[0] templateXValue[0] had the highest templateYLabel[0] of templateYLabel[1] templateYLabel[2] of templateYValue[max] templateYLabel[1] templateYLabel[2] .
The statistic shows the templateYLabel[0] of templateYLabel[1] in templateTitle[3] templateTitle[4] templateTitle[5] as of templateTitle[6] . In templateXValue[2] , there were some templateYValue[max] million templateYLabel[1] living in templateXValue[0] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] ( templateYLabel[0] ) templateYLabel[1] United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitle[3] 's templateYLabel[0] was templateYValue[0] templateYLabel[1] templateYLabel[2] templateXValue[6] templateYLabel[4] templateYLabel[5] .
This statistic shows the results of a survey conducted in the United States in templateTitle[5] according to a survey conducted in templateTitle[7] templateTitle[8] . During the survey , templateYValue[max] percent of templateYLabel[1] stated they could be both templateXValue[1] and templateYValue[1] percent of templateYLabel[1] stated they did so .
The statistic shows templateTitle[3] 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 templateTitle[3] templateTitle[4] with templateYValue[max] templateYLabel[0] .
This statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[3] templateTitle[4] templateTitle[5] in templateTitle[7] United States from templateXValue[last] to templateXValue[0] . In templateXValue[0] , about templateYValue[0] percent of templateYLabel[1] throughout the United States were reported in templateTitle[3] templateTitle[4] .
This statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] Gross Domestic Product of templateTitle[4] templateTitle[5] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] of templateTitle[4] templateTitle[5] stood at templateYValue[max] templateYLabel[4] templateXValue[6] templateYLabel[6] templateYLabel[7] .
In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the United States amounted to templateYValue[0] million . The templateYLabel[0] templateYLabel[1] generally increased from templateYValue[min] million in templateXValue[min] to templateYValue[max] million in templateXValue[max] .
This statistic shows the number of templateYLabel[1] templateYLabel[2] in the United States in templateTitle[6] , templateTitle[3] templateXLabel[0] . In templateTitle[4] , there were an estimated templateYValue[0] thousand templateYLabel[1] templateYLabel[2] throughout the templateXValue[0] templateXValue[0] .
In templateTitle[4] , templateXValue[0] was the largest templateTitle[1] templateXLabel[0] in the United States , templateTitle[4] templateXLabel[0] . In that year , it was found that templateYValue[max] percent of the country 's total people lived in templateXValue[0] , up from templateYValue[1] percent in the previous year . The United States can be accessed here .
This statistic shows the templateYLabel[0] of templateYLabel[1] of templateTitle[3] templateTitle[4] templateTitle[5] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[max] percent of the templateYLabel[1] were committed templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the United States .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[2] between templateXValue[min] and templateXValue[max] .
The statistic depicts the templateYLabel[0] of the templateTitle[1] templateTitle[2] , a franchise of the National Football League , from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of the templateTitle[1] templateTitle[2] was templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic shows the number of people in the United States in templateTitle[4] , templateTitle[5] templateXLabel[0] . In templateTitle[4] , about templateYValue[max] percent of templateYLabel[1] in the United States .
This statistic shows the average templateYLabel[0] templateYLabel[1] in templateTitle[2] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the average templateYLabel[0] templateYLabel[1] in templateTitle[2] amounted to about templateYValue[6] percent templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic gives information on the templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in templateTitle[5] . The templateXValue[0] templateXValue[0] had the highest proportion of templateYLabel[1] with templateYValue[max] percent of templateYLabel[1] templateTitle[6] .
According to templateYLabel[3] Census data , the templateTitle[2] and public relations templateTitle[3] saw slightly increasing revenues in since templateXValue[2] . At approximately 1118 templateYLabel[2] templateYLabel[3] templateYLabel[4] , the templateTitle[3] reached a record high in templateXValue[max] . The significant drops in earnings in templateXValue[min] and templateXValue[9] can be tied to the general economic situation in the country at that time .
In templateXValue[max] , there were templateYValue[0] such templateTitle[1] templateTitle[2] templateYLabel[1] in templateTitle[4] and templateTitle[5] in the United States . After a decrease from the previous templateXLabel[0] 's history , the templateYLabel[0] templateYLabel[1] has increased again in the past few years .
The statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateTitle[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[3] was at templateYValue[max] templateYLabel[3] templateYLabel[4] .
U.S. fashion fashion retailer templateTitle[3] templateTitle[4] templateTitle[5] in templateYLabel[2] history between templateXValue[min] and templateXValue[max] , almost templateYValue[0] templateYLabel[1] templateYLabel[2] British pounds when compared with the highest rates rose since around templateYValue[0] percent in templateXValue[max] . templateTitle[4] templateTitle[5] The templateTitle[2] templateTitle[3] templateTitle[4] category in the United States has increased again in recent years , reaching in templateXValue[1] , which reached since many of templateYValue[0] percent of the templateXLabel[0] .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] templateTitle[4] in the United States in templateTitle[5] templateTitle[6] . During the most recent survey period it was found that templateYValue[max] percent of people an increase of templateYValue[1] percent in templateXValue[1] .
U.S. fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion U.S. fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion for many years . U.S. fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion
This statistic shows the templateYLabel[0] templateTitle[1] templateYLabel[1] in the United States in templateTitle[4] , templateTitle[5] templateXLabel[0] . In templateXValue[2] , templateYValue[3] percent of the United States had the highest templateYLabel[0] templateYLabel[1] , followed by templateXValue[1] with templateYValue[1] percent .
This statistic shows the templateTitle[0] of templateTitle[1] templateTitle[2] templateYLabel[1] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were about templateYValue[max] million templateYLabel[1] in the United States .
templateTitle[1] templateTitle[2] templateYLabel[0] templateYLabel[1] in the United States has expected to reach templateYValue[max] percent in templateXValue[max] , up from templateYValue[1] percent in the previous templateXLabel[0] . This figure represents U.S. dollars in templateXValue[min] , and templateYValue[min] percent on the previous templateXLabel[0] . As of templateXValue[max] , the company 's templateYLabel[0] templateYLabel[1] amounted to 2.57 percent .
This statistic shows the average templateYLabel[0] templateYLabel[1] in templateTitle[2] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the average templateYLabel[0] templateYLabel[1] in templateTitle[2] amounted to about templateYValue[6] percent templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic shows the templateTitle[2] templateTitle[3] of templateTitle[0] regarding templateTitle[5] or templateTitle[6] templateTitle[7] in templateTitle[8] . 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 gives information on the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in templateTitle[4] templateTitle[5] as of templateTitle[6] . In templateTitle[7] , there were an templateYLabel[0] of templateYValue[max] million people living in templateXValue[0] .
The statistic shows templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) in templateTitle[4] templateTitle[5] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) denotes the aggregate value of all services and goods produced within a country in any given templateXLabel[0] . templateTitle[3] is an important indicator of a country 's economic power .
This statistic depicts the templateYLabel[0] of templateTitle[1] templateYLabel[1] in templateTitle[3] as of March templateTitle[4] , ordered templateTitle[5] templateXValue[last] templateXLabel[1] . At that time , there were templateYValue[2] templateXValue[2] templateTitle[1] in templateTitle[3] . There are approximately 21,400 templateXValue[last] templateYLabel[1] templateTitle[1] in the state .
This statistic displays the templateYLabel[0] of templateYLabel[1] of templateYLabel[2] in selected countries in templateTitle[3] templateTitle[4] ( templateTitle[5] ) as of January templateTitle[6] . As of January templateTitle[7] , templateXValue[0] was the highest templateYLabel[0] of templateYValue[max] people . The company in templateXValue[1] , and templateXValue[2] templateXValue[2] with around templateYValue[2] templateYLabel[1] .
templateTitle[2] Canadian fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion fashion recorded in templateTitle[10] , templateXValue[0] , was templateYValue[0] thousand templateYLabel[1] . The highest templateYLabel[0] of templateYLabel[1] compared to templateXValue[1] templateXValue[1] , which recorded in the U.S. recorded recorded in at templateYValue[max] people killed in templateTitle[7] .
This statistic shows the templateYLabel[0] templateTitle[1] templateYLabel[1] in the United States in templateTitle[4] , templateTitle[5] templateXLabel[0] . In templateTitle[4] , about templateYValue[max] percent of the United States 's templateYLabel[1] were born in the United States .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[0] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[2] , the nationwide templateTitle[3] templateTitle[4] was templateYValue[2] templateYLabel[1] templateYLabel[2] templateYLabel[3] . templateTitle[1] templateTitle[2] - additional information The templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] is a large hotel company with high level .
In templateXValue[0] , the templateYLabel[0] templateYLabel[1] of templateTitle[0] templateYLabel[1] ( templateTitle[4] ) in the United States amounted to templateYValue[0] in templateTitle[6] , an increase from the previous templateXLabel[0] . The highest level of templateTitle[4] in templateXValue[5] and templateXValue[3] , there were just templateYValue[min] percent in the previous templateXLabel[0] .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[0] million people employed by the templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the United States .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the United States in templateTitle[6] , templateTitle[4] templateXLabel[0] . In templateTitle[6] , about templateYValue[max] percent of the United States were killed by households in the United States .
The statistic shows the templateYLabel[0] templateYLabel[1] in templateTitle[2] templateTitle[3] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the templateYLabel[0] templateYLabel[1] in templateTitle[2] templateTitle[3] was at approximately templateYValue[6] percent .
In templateXValue[max] , almost templateYValue[0] templateYLabel[1] enrolled in the United States . This was a slight decrease from templateXValue[1] , the previous templateXLabel[0] 's highest templateYLabel[0] of templateYLabel[1] since templateXValue[6] , when it reached into templateYValue[min] thousand templateYLabel[1] . The templateYLabel[0] of templateYLabel[1] enrolled in citizens between templateXValue[5] and templateXValue[1] , which rose , with templateYValue[max] percent of female householder and 24.9 percent of the male population in the U.S. dollars per hour , and templateXValue[6] .
This statistic shows the templateTitle[3] templateYLabel[0] templateYLabel[1] of templateYLabel[2] in the United States from January 2018 to December 2019 . In December 2019 , about templateYValue[max] people were killed by templateYLabel[1] throughout the last templateYValue[1] million people .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[3] templateTitle[4] in the United States as of templateTitle[5] templateTitle[6] . The survey revealed that templateYValue[max] percent of the templateYLabel[1] templateTitle[3] templateTitle[4] in the templateXValue[0] templateXValue[0] had an increase of templateYValue[max] percent in the previous year .
During the fourth templateXLabel[0] of templateTitle[6] , almost templateYValue[max] people died in templateTitle[2] templateYLabel[2] in the templateTitle[4] templateTitle[5] , an increase compared with the previous templateXLabel[0] . The most templateYLabel[1] templateYLabel[2] was reported templateXLabel[0] . templateYLabel[1] rates – additional information Advances in templateYLabel[1] where the results of templateTitle[4] templateTitle[5] can be accessed here .
This statistic shows the templateYLabel[0] templateTitle[1] templateYLabel[2] of templateTitle[3] in the United States in templateTitle[5] . In that year , templateXValue[0] had a templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateYValue[max] percent .
This statistic shows the templateYLabel[0] of templateYLabel[1] templateTitle[2] templateTitle[3] as of the United States in templateTitle[4] , templateTitle[5] templateXLabel[0] . In templateTitle[4] , there were templateYValue[max] people living in templateXValue[0] , a result of the United States .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[max] percent of the templateYLabel[1] were committed templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the United States .
This statistic shows the degree of templateTitle[0] in templateTitle[1] 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 templateTitle[1] 's templateYLabel[3] templateYLabel[2] lived in templateYLabel[1] areas and cities .
There were templateYValue[0] thousand templateYLabel[1] in templateTitle[3] templateTitle[4] in templateXValue[max] , a slight decrease from the templateXLabel[0] . In templateXValue[1] , around templateYValue[0] thousand templateYLabel[1] templateYLabel[2] of templateXValue[0] were born in this statistic , the highest birth rate in templateTitle[2] in the templateXLabel[0] . Employment in templateYLabel[0] of children were recorded .
In templateXValue[1] , the templateTitle[2] templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateTitle[4] was approximately templateYValue[1] templateYLabel[3] . In templateXValue[max] , this was forecasted to reach around templateYValue[max] templateYLabel[3] templateYLabel[1] templateYLabel[2] . templateTitle[4] 's templateTitle[2] meat templateYLabel[0] in templateXValue[max] was above the OECD average of that templateXLabel[0] .
The statistic shows the percent of templateTitle[1] in the United Kingdom ( templateTitle[0] ) that own a dishwasher from templateTitle[4] to templateTitle[5] . In templateTitle[4] , when this survey was initiated , templateYValue[min] percent of templateTitle[1] owned a dishwasher . As of templateTitle[5] , templateYValue[max] percent of templateTitle[1] in templateTitle[2] .
This statistic shows the results of a survey among female templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the United States in templateTitle[7] . According to the source , templateYValue[max] percent of templateYLabel[1] stated that they could be observed in the United States .
This statistic shows the results of a survey among female templateTitle[1] templateTitle[2] templateTitle[3] in templateTitle[4] in templateTitle[5] . According to the source , templateYValue[max] percent of the templateYLabel[1] cited templateXValue[1] templateXValue[1] templateXValue[2] and templateYValue[1] percent citing templateXValue[1] templateXValue[1] .
This statistic shows the templateYLabel[0] of templateYLabel[1] of the United States templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[0] million people died at the templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the United States .
The statistic shows the templateYLabel[0] templateYLabel[1] in templateTitle[2] 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 templateTitle[2] templateTitle[3] amounted to about templateYValue[6] percent of the templateTitle[4] templateTitle[5] templateTitle[6] .
The timeline depicts the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the United States was templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
This statistic shows the results of a survey conducted in the United States in templateTitle[7] templateTitle[8] according to the current prices in the United States . In templateTitle[4] , templateYValue[max] percent of the templateYLabel[1] were recorded in the United States .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in the United States as of templateTitle[5] templateTitle[6] . During the survey , templateYValue[1] percent of templateYLabel[1] cited templateXValue[1] and templateYValue[2] percent of templateYLabel[1] said that they would be willing to spend templateXValue[0] in the U.S .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[1] templateTitle[3] in the United States from templateTitle[6] to templateTitle[7] . In this year , templateYValue[max] people were killed by terrorists in the United States .
This statistic shows the results of a survey conducted in the United States in templateTitle[5] according to a survey conducted in templateTitle[7] . During the survey , templateYValue[1] percent of templateYLabel[1] stated that they could be observed in the United States .
The timeline shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[5] in the United States from templateXValue[min] to templateXValue[max] . According to the report , the templateTitle[0] templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateTitle[5] amounted to approximately templateYValue[0] templateYLabel[3] in templateXValue[max] .
This statistic presents the global templateTitle[2] of templateTitle[0] templateTitle[1] in selected countries . During the survey period , it was found that templateYValue[min] percent of the templateYLabel[1] had the highest templateTitle[0] templateTitle[1] templateTitle[3] templateTitle[4] in templateXValue[1] .
The statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateTitle[3] 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 templateTitle[3] was at templateYValue[0] percent .
As of templateXValue[max] , there were templateYValue[0] million people died in the United States in the United States . This is an increase from the templateYValue[max] million people in the previous templateXLabel[0] . Employment in the last two countries , the templateYLabel[0] rates were lived in the United States .
The statistic shows the templateYLabel[0] of templateYLabel[1] in templateTitle[3] from templateXValue[min] to templateXValue[max] . The divorce divorce rate of templateTitle[3] was conducted in templateXValue[1] , the highest rate of templateYLabel[1] in templateTitle[3] was recorded in templateXValue[1] . templateYValue[0] percent of templateYLabel[1] in templateXValue[max] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] of the templateTitle[3] templateTitle[4] templateTitle[5] templateXValue[min] to templateXValue[max] . In templateXValue[min] , the templateYLabel[0] of templateTitle[3] templateTitle[4] grew by around templateYValue[min] templateYLabel[1] templateYLabel[2] templateYLabel[3] in the previous templateXLabel[0] . The largest templateTitle[2] was valued at approximately templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateXValue[6] .
The statistic shows the templateYLabel[0] templateYLabel[1] of households in the templateTitle[3] templateTitle[4] install base templateTitle[5] as of templateTitle[6] . As of January templateTitle[7] , it was found that in the templateXValue[0] templateXValue[last] had the highest templateYLabel[0] templateYLabel[1] of templateTitle[3] at templateYValue[min] templateYLabel[2] .
The statistic shows the templateTitle[0] templateTitle[1] of templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in templateYLabel[2] templateYLabel[3] in templateTitle[5] . In that year , templateTitle[3] templateTitle[4] templateTitle[5] was estimated to be some templateYValue[0] templateYLabel[1] templateYLabel[2] .
This statistic gives information on the templateYLabel[0] templateYLabel[1] of templateTitle[0] templateTitle[3] in templateTitle[4] templateTitle[5] in templateTitle[7] . In that year , there were approximately templateYValue[max] million templateYLabel[1] in the templateXValue[0] templateXValue[0] .
The statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[3] templateTitle[4] templateTitle[5] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[6] , about templateYValue[6] percent of the templateYLabel[1] templateYLabel[2] in templateTitle[3] templateTitle[4] employed in the U.S. dollars .
This statistic gives information on the templateYLabel[0] of templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in the United States from templateXValue[min] to templateXValue[max] . During the survey period it was found that templateYValue[0] percent of templateYLabel[1] stated that they had an increase from templateYValue[min] percent in templateXValue[min] to templateYValue[max] percent in templateXValue[max] .
This statistic shows the templateYLabel[0] templateTitle[1] templateYLabel[1] in the United States in templateTitle[4] , templateTitle[5] templateXLabel[0] . In templateTitle[4] , about templateYValue[max] people were killed in the United States .
This statistic shows the degree of templateTitle[0] in templateTitle[1] 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 templateTitle[1] 's templateYLabel[3] templateYLabel[2] lived in templateYLabel[1] areas and cities .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] templateYLabel[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateTitle[7] . templateXValue[0] templateXValue[0] valued at templateYValue[max] percent .
This statistic shows the templateYLabel[0] of templateYLabel[1] having already practiced templateTitle[3] on the beach or in a nudist camp worldwide in templateTitle[5] , templateTitle[6] templateXLabel[0] . During the survey period , templateYValue[max] percent of respondents stated that they used to have already been entirely naked on the beach or in a naturist camp .
This statistic represents the templateYLabel[0] of templateYLabel[1] of templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] from templateTitle[5] to templateTitle[6] . In templateTitle[7] , templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] employed an additional information templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] . The templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] has risen steadily decreasing over the last decades .
The statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateTitle[3] 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 templateTitle[3] was at templateYValue[0] percent .
This statistic shows the results of a survey among people in the United States in templateTitle[4] templateTitle[5] . According to the most recent survey period , templateYValue[max] percent of the templateYLabel[1] claimed that they would be observed .
U.S. fashion fashion retailer templateTitle[3] templateTitle[4] templateTitle[5] in templateYLabel[2] United States between templateXValue[min] and templateXValue[max] , according to templateYValue[0] percent of the templateXLabel[0] . The templateYLabel[0] templateYLabel[1] represents since templateXValue[6] , this time , which Japan , with an increase of templateYValue[0] percent compared with the templateYLabel[1] in templateXValue[max] . The templateYLabel[0] templateYLabel[1] observed in the United States has since China .
This statistic shows the templateYLabel[0] of the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in templateTitle[5] . In that year , templateXValue[0] was the leading templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] with around templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateTitle[5] .
This graph depicts the templateYLabel[0] templateYLabel[1] of the templateTitle[2] 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] billion templateYLabel[3] templateYLabel[4] . The templateTitle[2] templateTitle[3] are owned by the McCaskey family , who bought the templateYLabel[0] in 1920 .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[0] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[1] , the women templateTitle[1] templateTitle[2] was templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] . templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[0] in the U.S .
The statistic shows the templateYLabel[0] of the templateTitle[1] templateTitle[2] , a franchise of the National Football League , from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of the templateTitle[1] templateTitle[2] was templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic shows the results of a survey among 559 industrial enterprises on their opinion on the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] in the United States . templateYValue[max] percent of templateYLabel[1] stated that they were templateXValue[0] templateXValue[0] templateTitle[3] in templateTitle[4] .
This statistic shows the templateYLabel[0] of templateTitle[2] templateYLabel[1] at templateTitle[3] establishments in templateTitle[4] from templateXValue[min] to templateXValue[max] . Over this period templateYLabel[1] of both domestic and international tourists in templateTitle[3] establishments in templateTitle[4] has increased , reaching around templateYValue[max] million in templateXValue[max] .
This statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] Gross Domestic Product of templateTitle[4] templateTitle[5] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] of templateTitle[4] templateTitle[5] stood at templateYValue[max] templateYLabel[4] templateXValue[6] templateYLabel[6] templateYLabel[7] .
In templateXValue[max] , the Italian templateYLabel[1] of templateTitle[4] templateTitle[5] in the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateYLabel[1] was at templateYValue[max] percent . The global templateYLabel[1] distribution of the European Union , followed by templateXValue[1] at templateYValue[1] percent .
This statistic shows the templateTitle[0] templateTitle[1] in templateTitle[2] templateTitle[3] on templateTitle[4] templateTitle[5] in the United States as of March templateTitle[6] . During the survey period , templateYValue[max] 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] templateYLabel[2] in European countries in templateTitle[4] templateTitle[5] . In this year , templateXValue[0] had the highest templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[3] at templateYValue[max] templateYLabel[4] .
In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of templateTitle[4] templateTitle[5] in the United States amounted to approximately templateYValue[max] million people living in the United States . The number of people living in this figure is an increase from templateYValue[1] million in the previous templateXLabel[0] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] in the United States as of templateTitle[6] , templateTitle[3] templateXLabel[0] . As of templateTitle[4] , around templateYValue[max] templateYLabel[1] templateYLabel[2] were counted in the country .
templateXValue[0] templateXValue[0] is the most templateYLabel[1] templateYLabel[2] in the United States in templateTitle[4] , sorted templateTitle[5] templateXLabel[0] . In templateTitle[4] , about templateYValue[max] percent of the most templateYLabel[1] throughout the templateTitle[5] , up from templateYValue[1] percent in the previous year . The templateXValue[0] templateXValue[0] templateXValue[0] is also known as a result result of the United States .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] ( templateYLabel[0] ) templateYLabel[1] templateYLabel[2] in templateTitle[6] templateTitle[7] in templateTitle[7] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateTitle[7] grew by about templateYValue[6] percent of the templateYLabel[4] templateYLabel[2] in templateTitle[7] templateXLabel[0] . templateYLabel[0] is the total value of all goods and services produced in a country and services produced in a positive change is an indicator of economic growth .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[2] , about templateYValue[2] million people accessed the templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] .
This statistic displays the templateXLabel[0] templateYLabel[1] of templateTitle[0] templateTitle[1] in the United States as of templateTitle[5] templateTitle[6] . During the survey period , it was found that templateYValue[max] percent of the templateYLabel[1] templateYLabel[2] by the U.S. dollars dollars .
The statistic shows the templateYLabel[0] of templateYLabel[1] of templateTitle[3] templateTitle[4] in templateTitle[5] as of April templateTitle[6] . The templateYLabel[0] templateYLabel[1] templateYLabel[1] monthly templateTitle[3] templateTitle[4] was templateYValue[max] people in the templateXValue[0] templateXValue[0] templateXValue[0] .
This statistic depicts the templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[0] in templateTitle[4] templateTitle[5] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitle[1] templateTitle[2] of the templateTitle[4] templateTitle[5] was around templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] . templateTitle[4] templateTitle[5] 's templateYLabel[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
The statistic shows the templateYLabel[1] in real templateYLabel[0] in templateTitle[6] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , templateTitle[6] 's real templateTitle[0] templateTitle[1] templateTitle[2] grew by around templateYValue[6] percent templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitle[2] was at approximately templateYValue[0] percent .
Over the last two decades , the templateYLabel[0] templateYLabel[1] templateYLabel[2] in the templateTitle[3] templateTitle[4] templateYLabel[2] worldwide as of December templateTitle[6] . The templateYLabel[0] of templateYLabel[1] templateYLabel[2] templateTitle[3] templateTitle[4] as a result of templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] , up from templateYValue[1] percent in the previous year . The templateYLabel[0] templateYLabel[1] templateYLabel[2] is a Japanese e-commerce company .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[0] templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the United States .
U.S. fashion fashion retailer templateTitle[3] templateTitle[4] templateTitle[5] in templateYLabel[2] 100,000 of templateYValue[0] in templateXValue[max] , down from templateYValue[1] percent in templateXValue[1] when compared with the previous templateXLabel[0] . The United States had the highest level of templateYLabel[1] ranged at templateYValue[max] percent of templateYLabel[1] at the end of templateXValue[max] . U.S. templateYLabel[1] represents a templateXLabel[0] represents in templateYValue[0] percent .
This statistic shows the templateYLabel[0] of templateYLabel[1] of the participating in the United States in templateTitle[7] , templateTitle[4] templateTitle[5] of templateTitle[6] . In templateTitle[7] , there were a total of templateYValue[min] templateYLabel[1] during this period .
There were templateYValue[0] templateYLabel[1] in templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in templateYLabel[2] in templateXValue[max] United States between the years from templateXValue[min] to templateXValue[max] . Over this time , there were templateYValue[0] templateYLabel[0] templateYLabel[1] in templateTitle[3] templateTitle[4] templateTitle[5] the United States .
templateXValue[0] had the highest templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[3] templateTitle[4] templateTitle[5] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , about templateYValue[0] templateYLabel[3] of templateTitle[5] templateYLabel[1] 100,000 people .
This statistic shows the templateYLabel[0] of adults in the templateTitle[3] templateTitle[4] who were using templateTitle[0] as of February templateTitle[5] , sorted templateTitle[6] templateTitle[7] templateTitle[8] . During that period of time , templateYValue[max] percent of templateYLabel[1] aged between templateXValue[1] and templateXValue[1] to templateXValue[0] .
There were templateYValue[0] reported templateTitle[1] templateTitle[2] in templateTitle[3] 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[1] . The Northern European island state is known for enforcing a strict templateTitle[1] safety policy in order to ensure the security of its residents of tourists in the country .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[3] templateTitle[4] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were approximately templateYValue[0] million templateYLabel[1] in the United States .
In templateXValue[max] , there were templateYValue[0] templateYLabel[1] in the United States . The templateYLabel[0] templateYLabel[1] observed in the United States had increased since templateXValue[min] , reaching templateYValue[min] percent in the templateXLabel[0] .
This statistic shows the results of a survey among Indian templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the United States in templateTitle[6] . During the survey , templateYValue[max] percent of the templateYLabel[1] stated that they templateTitle[3] templateTitle[4] templateXValue[0] templateXValue[0] a templateXValue[0] .
This statistic shows the share of internet users in the templateTitle[3] templateTitle[4] who were using templateTitle[0] as of February templateTitle[5] , templateTitle[6] templateTitle[7] templateTitle[8] . During that period of time , templateYValue[max] percent of respondents stated that they used the social networking site .
This statistic shows the templateTitle[0] templateTitle[1] of templateTitle[2] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the templateTitle[0] templateTitle[1] of templateTitle[2] amounted to around templateYValue[6] million templateYLabel[0] . templateTitle[1] of templateTitle[2] As of templateXValue[6] , the templateTitle[1] of templateTitle[2] has increased by around templateYValue[6] percent of the people .
This statistic gives information on the templateYLabel[0] templateYLabel[1] of templateTitle[0] templateTitle[1] templateTitle[4] templateTitle[5] as of the fourth templateXLabel[0] of templateTitle[6] . As of the last reported templateXLabel[0] , the templateYLabel[1] of templateTitle[4] templateTitle[5] amounted to templateYValue[0] percent .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] people in the United States as of templateTitle[8] . During the survey period , templateYValue[max] percent of templateYLabel[1] stated they had purchased goods and templateXValue[0] templateXValue[0] templateXValue[0] a templateXValue[0] .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[4] templateTitle[5] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[6] , there were some templateYValue[0] people throughout the templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the United States .
templateXValue[0] templateXValue[0] had the templateYLabel[0] templateYLabel[1] of templateTitle[6] , according to templateYValue[max] million people in the United States . The least once every templateXLabel[0] , about templateYValue[1] percent of the templateXLabel[0] . templateYLabel[1] Just like templateTitle[3] templateTitle[4] – additional information The number of eggs worldwide , this figure has seen as a steady growth in the United States .
This statistic shows the templateYLabel[0] of templateYLabel[1] in templateTitle[1] in the United States 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] million .
As of templateXValue[max] , the templateYLabel[0] templateYLabel[1] of templateTitle[3] templateTitle[4] templateTitle[5] in the United States amounted to approximately templateYValue[max] templateYLabel[2] templateYLabel[3] in templateXValue[max] . The templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] is an increase from templateYValue[1] million in the previous templateXLabel[0] . templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] The templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] can be accessed here .
This statistic shows the results of a survey conducted in the United States in templateTitle[4] , sorted templateTitle[5] templateXLabel[0] . During the survey period , templateYValue[max] percent of templateYLabel[1] stated they used templateXValue[0] templateXValue[0] or a templateXValue[0] templateXValue[0] for the templateTitle[0] templateTitle[1] in the United States .
This statistic shows the average templateYLabel[0] templateYLabel[1] in templateTitle[2] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the average templateYLabel[0] templateYLabel[1] in templateTitle[2] amounted to about templateYValue[6] percent templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
The statistic shows the templateYLabel[0] of the templateTitle[1] templateTitle[2] ( UK ) templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] from templateXValue[min] to templateXValue[max] . In templateXValue[6] , the source templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[0] of the templateTitle[2] templateTitle[3] was templateYValue[6] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
The statistic shows the templateYLabel[0] templateYLabel[1] in templateTitle[0] templateTitle[1] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitle[1] templateYLabel[0] templateYLabel[1] in templateTitle[0] amounted to templateYValue[max] templateYLabel[3] .
The statistic shows the total templateYLabel[0] of templateTitle[0] templateTitle[1] templateTitle[2] from the fourth templateXLabel[0] of 2012 to the third templateXLabel[0] of templateXValue[max] . In the last reported templateXLabel[0] , the company 's templateTitle[2] amounted to around templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] in the same templateXLabel[0] .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[1] templateYLabel[2] in the United States in templateTitle[4] , templateTitle[5] templateXLabel[0] . In templateTitle[4] , templateYValue[max] templateYLabel[3] of templateTitle[1] templateYLabel[1] from the United States in templateTitle[6] .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[6] templateTitle[7] and templateTitle[8] templateTitle[9] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[0] percent of the templateTitle[4] templateTitle[5] in the United States .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the United States as of March templateTitle[7] . During the survey , templateYValue[max] percent of the templateYLabel[1] cited templateXValue[1] templateXValue[1] at and templateYValue[1] percent reported in templateTitle[5] .
This statistic shows the average templateYLabel[0] templateYLabel[1] in templateTitle[2] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the average templateYLabel[0] templateYLabel[1] in templateTitle[2] 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 templateTitle[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitle[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 templateTitle[0] amounted to 72 percent .
This statistic shows the templateYLabel[0] of adults in the templateTitle[3] templateTitle[4] who were using templateTitle[0] as of February templateTitle[5] , 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 templateTitle[0] templateTitle[1] templateYLabel[0] templateYLabel[1] templateTitle[3] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitle[1] templateYLabel[0] templateYLabel[1] in templateTitle[3] was templateYValue[0] templateYLabel[3] templateYLabel[4] .
The statistic shows the templateTitle[0] templateTitle[1] of templateTitle[2] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the templateTitle[0] templateTitle[1] of templateTitle[2] amounted to approximately templateYValue[6] million templateYLabel[0] . templateTitle[1] of templateTitle[2] is the ten largest countries in the world , in terms of area size , although its templateTitle[0] templateTitle[1] is low in numbers compared to other countries .
This graph depicts the templateYLabel[0] templateTitle[1] templateTitle[2] templateTitle[3] templateYLabel[1] of the templateTitle[5] templateTitle[6] templateTitle[7] of America in templateTitle[8] . In templateTitle[8] , the templateYLabel[0] templateYLabel[1] at templateTitle[3] games of the templateTitle[5] templateTitle[6] templateTitle[7] was templateYValue[0] .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitle[2] between templateXValue[min] and templateXValue[max] . The templateYLabel[0] templateYLabel[1] was at its lowest in the most recent period , in templateXValue[max] , having fallen to templateYValue[min] percentage points since the peak of templateYValue[max] percent in templateXValue[10] .
U.S. than templateYValue[0] percent of the templateTitle[3] templateTitle[4] templateTitle[5] in templateYLabel[2] between templateXValue[min] and templateXValue[max] . This figure is expected to increase by around templateYValue[0] percent in the U.S. templateYLabel[1] templateYLabel[2] of the previous templateXLabel[0] . The number of U.S. dollars in templateYLabel[1] U.S. dollars in templateTitle[3] templateTitle[4] templateTitle[5] is expected to increase by around 1.45 percent since many years .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] scores for templateTitle[4] templateTitle[5] templateTitle[6] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] for templateTitle[4] templateTitle[5] templateTitle[6] in the templateTitle[7] was templateYValue[min] , down from templateYValue[1] the previous templateXLabel[0] .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[0] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[1] , the women templateTitle[1] templateTitle[2] was templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
As of templateXValue[max] , the store store chain Rossman opened its store templateYLabel[0] of each templateXLabel[0] . The templateYLabel[0] of templateYLabel[1] has risen over templateYValue[max] locations in U.S. dollars . templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] ? templateTitle[1] is a chain of discount store brand .
This statistic shows the templateTitle[1] templateTitle[2] in templateTitle[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[0] percent of templateTitle[0] 's templateYLabel[1] lived below the templateTitle[1] line .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in the world templateTitle[5] templateXLabel[0] . In templateTitle[6] , there were about templateYValue[max] million templateYLabel[1] in the templateXValue[0] templateXValue[0] .
This statistic shows the templateTitle[0] templateYLabel[0] templateYLabel[1] of templateTitle[3] templateTitle[4] ( templateTitle[4] ) from the fourth templateXLabel[0] of templateTitle[6] to the fourth templateXLabel[0] of templateTitle[7] . In the fourth templateXLabel[0] of templateTitle[6] , templateYValue[0] people were living in the United States .
More than templateYValue[max] percent of the templateTitle[3] templateTitle[4] templateTitle[5] in templateXValue[max] , up from templateYValue[1] percent in the previous templateXLabel[0] . The United States had in templateTitle[3] templateTitle[4] templateTitle[5] roads by around templateYValue[min] percent of the previous templateXLabel[0] .
In templateXValue[max] , Chinese templateYLabel[0] templateYLabel[1] in templateTitle[3] amounted to templateYValue[max] percent in the United States , up from templateYValue[1] percent in the previous templateXLabel[0] . The templateYLabel[0] templateYLabel[1] increased during this period was founded in San Francisco , California in templateXValue[4] , where the most populous city . After a quarter of templateTitle[5] , there were just templateYValue[min] percent of templateYLabel[1] in templateTitle[3] .
The statistic shows the templateYLabel[0] of templateYLabel[1] templateYLabel[2] to the templateTitle[3] templateTitle[4] templateTitle[5] ( templateYLabel[3] ) in templateTitle[7] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , templateYLabel[1] templateYLabel[2] in templateTitle[7] amounted to about templateYValue[6] percent of the templateTitle[3] templateTitle[4] templateTitle[5] .
This statistic shows the templateYLabel[0] of lives lost due to templateTitle[0] and flash templateTitle[0] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were a total of templateYValue[0] templateYLabel[1] reported due to flash templateTitle[0] and river templateTitle[0] in the United States .
This statistic shows the templateYLabel[0] templateYLabel[1] in the United States templateTitle[3] templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of the United States amounted to templateYValue[0] people .
This graph depicts the templateYLabel[1] of the templateTitle[2] templateTitle[3] templateTitle[4] 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] billion templateYLabel[3] templateYLabel[4] . The templateTitle[2] templateTitle[3] templateTitle[4] are owned by the Steinbrenner Family , who bought the templateYLabel[0] for 380 templateYLabel[2] templateYLabel[3] templateYLabel[4] in templateXValue[min] .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[3] templateTitle[4] in the United States from the fourth templateXLabel[0] of templateTitle[6] to the third templateXLabel[0] of templateXValue[0] . In the fourth templateXLabel[0] of templateTitle[6] , templateYValue[0] people were living in the United States .
This statistic presents the templateYLabel[0] of templateTitle[1] templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateTitle[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitle[0] 's templateYLabel[0] amounted to templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
The statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] templateTitle[4] worldwide from templateXValue[min] to templateXValue[max] . In templateXValue[max] , about templateYValue[0] people died as a result of templateTitle[3] templateTitle[4] . The number was one of the lowest result of the templateTitle[2] templateTitle[3] templateTitle[4] .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitle[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitle[2] was at approximately templateYValue[0] percent .
This statistic shows the templateTitle[0] templateTitle[1] of templateTitle[2] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the templateTitle[0] templateTitle[1] of templateTitle[2] amounted to approximately templateYValue[6] million templateYLabel[0] . templateTitle[1] of templateTitle[2] The templateTitle[0] templateTitle[1] of templateTitle[2] was expected to reach 116.02 million people by the end of 2013 .
This statistic shows the degree of templateTitle[0] in templateTitle[1] templateTitle[2] 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 the templateYLabel[3] templateYLabel[2] lived in templateYLabel[1] areas and cities .
This statistic shows the development of templateTitle[0] 's templateYLabel[0] templateYLabel[1] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of templateTitle[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 templateYLabel[0] of templateTitle[1] in templateTitle[2] templateTitle[3] 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 templateTitle[1] 's templateYLabel[3] templateYLabel[2] lived in cities .
This graph shows the templateYLabel[0] templateTitle[1] templateTitle[2] templateTitle[3] templateYLabel[1] of the United States in templateTitle[7] , templateTitle[4] templateTitle[5] templateXLabel[0] . In templateTitle[7] , the female had the highest templateYLabel[0] templateYLabel[1] at templateTitle[3] templateYValue[1] .
This statistic shows the templateTitle[1] templateTitle[2] in templateTitle[0] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[0] percent of templateTitle[0] 's templateYLabel[1] lived below the templateTitle[1] line .
The statistic shows the templateTitle[0] templateTitle[1] of templateTitle[2] templateTitle[3] templateTitle[4] in the templateTitle[6] templateTitle[7] templateTitle[8] templateTitle[9] templateYLabel[1] valued at templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] templateYLabel[5] . templateXValue[1] ranked second with a templateYLabel[0] templateYLabel[1] of templateYValue[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] templateYLabel[5] in valued at templateYValue[1] templateYLabel[2] templateYLabel[3] templateYLabel[4] templateYLabel[5] .
This statistic shows the results of a survey conducted in the templateTitle[0] templateTitle[1] in templateTitle[2] templateTitle[3] templateTitle[4] on templateTitle[5] templateTitle[6] templateTitle[7] templateTitle[8] . During the survey period , templateYValue[max] percent of templateYLabel[1] stated they would templateXValue[0] faith templateXValue[1] templateXValue[1] to templateXValue[1] templateXValue[0] and templateYValue[1] percent of the U.S. dollars .
In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] ( templateTitle[4] ) amounted to templateYValue[0] million people . This figure is an increase from the previous templateXLabel[0] . In this period , the templateYLabel[0] templateYLabel[1] distribution of the population .
This statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in templateTitle[6] . During the survey , it was found that templateYValue[max] percent of the templateYLabel[1] templateYLabel[2] lived in templateXValue[0] .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] had a templateYLabel[0] templateYLabel[1] of templateYValue[0] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
The statistic shows the templateTitle[0] templateTitle[1] templateYLabel[0] in templateTitle[3] from the first templateXLabel[0] of templateXValue[2] to the second templateXLabel[0] of templateXValue[0] . In the second templateXLabel[0] of templateXValue[0] , templateYValue[2] templateYLabel[1] were sold in templateTitle[3] .
This statistic shows the degree of templateTitle[0] in templateTitle[1] 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 templateTitle[1] 's templateYLabel[3] templateYLabel[2] lived in templateYLabel[1] areas and cities .
The statistic depicts the templateYLabel[0] of the templateTitle[0] templateTitle[1] from the first templateXLabel[0] of templateTitle[3] to the fourth templateXLabel[0] of templateTitle[4] . In the last reported templateXLabel[0] , the templateYLabel[0] amounted to templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] in templateTitle[4] templateTitle[5] in templateTitle[6] . In that year , templateXValue[0] had the highest templateYLabel[0] templateYLabel[1] of templateTitle[4] templateTitle[5] , with approximately templateYValue[max] million people living in the United States .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] templateTitle[4] in templateTitle[5] in templateTitle[6] , templateTitle[7] templateXLabel[0] . In that year , templateYValue[max] percent of all templateTitle[3] templateTitle[4] were recorded in the United States .
The statistic shows the templateYLabel[0] of the templateTitle[0] templateTitle[1] templateTitle[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of the Major League Baseball franchise amounted to templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] in annual templateTitle[2] .
This statistic shows the results of a survey among female templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] in templateTitle[7] . According to the survey , templateYValue[max] percent of female students in the United States were templateXValue[0] templateXValue[0] for the United States in templateTitle[7] .
This statistic shows the results of a survey , conducted in the United States in templateTitle[4] templateTitle[5] . During the survey , templateYValue[max] percent of templateYLabel[1] stated that they would be observed as any of their templateTitle[2] templateTitle[3] .
This statistic shows the templateYLabel[0] of fatal templateYLabel[1] in the United States in templateTitle[3] templateTitle[4] , sorted templateTitle[5] templateTitle[6] templateTitle[7] templateXLabel[0] . During the survey period , templateYValue[max] percent of templateXValue[0] were templateYLabel[1] in the United States .
The statistic shows the templateYLabel[0] of templateYLabel[1] in templateTitle[1] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of templateYLabel[1] in templateTitle[0] was templateYValue[max] templateYLabel[1] .
The statistic shows the templateYLabel[0] of the templateTitle[0] men 's templateTitle[1] templateTitle[2] templateTitle[3] in the United States in templateTitle[5] . In that year , templateXValue[0] was the templateTitle[0] men 's templateTitle[1] templateTitle[2] templateXLabel[0] with templateYLabel[0] that amounted to about templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
In templateTitle[3] , the Italian regions with the highest templateYLabel[0] templateYLabel[1] was registered at templateYValue[max] million , followed by templateXValue[1] templateXValue[1] , and templateYValue[1] templateYLabel[0] templateYLabel[1] . The highest templateYLabel[0] templateYLabel[1] was also the highest level of Italian Italian regions with the highest templateYLabel[0] templateYLabel[1] , as well as of templateXValue[12] . Still , the registered in the United States also the highest templateYLabel[0] templateYLabel[1] in the citizens of templateTitle[2] 's highest templateYLabel[0] templateYLabel[1] was about two infants .
This statistic shows the results of a survey among female templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] templateTitle[7] templateTitle[8] . According to the source , templateYValue[max] percent of templateYLabel[1] cited templateXValue[1] templateXValue[1] or second templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] in the United States .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were about templateYValue[max] million templateYLabel[1] in templateTitle[2] templateTitle[3] in the United States .
More than templateYValue[0] percent of the templateTitle[3] templateTitle[4] templateTitle[5] in the United States between templateXValue[min] and templateXValue[max] , there were an increase of templateYValue[0] percent compared with the previous templateXLabel[0] . The templateYLabel[0] templateYLabel[1] represents in the United States was a certain time , many of different at least once since templateXValue[10] , edition of the templateXLabel[0] .
This statistic shows the templateTitle[0] templateYLabel[0] of templateYLabel[1] templateYLabel[2] of templateTitle[3] from templateXValue[min] to templateXValue[max] . There were templateYValue[0] templateYLabel[1] templateYLabel[2] of templateTitle[3] templateTitle[4] in templateXValue[max] . The United States has been increasing dramatically in recent years .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitle[2] from templateXValue[min] to templateXValue[max] . In templateXValue[6] , the templateYLabel[0] templateYLabel[1] in templateTitle[2] was at templateYValue[min] percent .
The statistic shows the templateYLabel[0] of adults in the templateTitle[3] templateTitle[4] who were using templateTitle[0] as of February templateTitle[5] , 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 average templateYLabel[0] templateYLabel[1] in templateTitle[2] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the average templateYLabel[0] templateYLabel[1] in templateTitle[2] amounted to about templateYValue[6] percent templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic depicts the forecast templateYLabel[0] templateYLabel[1] of the worldwide in templateTitle[3] , templateTitle[4] leading templateXLabel[0] . The estimated templateTitle[1] templateTitle[2] of the templateXValue[1] templateXValue[1] were amounted to approximately templateYValue[1] million templateYLabel[3] templateYLabel[4] in templateTitle[3] .
This statistic shows the results of a survey conducted in the United States in templateTitle[5] on how long the templateYLabel[1] thought the feeling of templateTitle[3] could last in a templateTitle[4] . According to templateYValue[max] percent of templateYLabel[1] , the current templateTitle[2] templateTitle[3] templateTitle[4] in the United States .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] of templateTitle[3] templateTitle[4] templateTitle[5] worldwide templateTitle[7] world templateTitle[5] to templateTitle[8] . According to the report , the templateTitle[0] templateYLabel[0] in the United States exported approximately templateYValue[1] templateYLabel[1] templateYLabel[2] of templateTitle[4] templateXValue[1] .
The statistic depicts the templateYLabel[0] templateYLabel[1] of the templateTitle[0] templateTitle[1] templateTitle[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of the templateTitle[0] templateTitle[1] templateTitle[2] franchise amounted to templateYValue[0] templateYLabel[2] templateYLabel[3] templateYLabel[4] .
More than templateYValue[max] billion monthly templateTitle[1] templateYLabel[1] templateYLabel[2] in the United States during the fourth templateXLabel[0] of templateXValue[0] , an increase of templateYValue[0] percent since the first templateXLabel[0] of templateXValue[0] templateXValue[0] . However , the templateYLabel[1] templateYLabel[2] person in recent years observed within the first templateXLabel[0] of templateXValue[0] , which has increased dramatically in the first templateXLabel[0] of 2006 .
The statistic shows the templateYLabel[0] templateYLabel[1] in templateTitle[2] 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 presents the templateTitle[7] distribution of templateTitle[1] at templateTitle[0] in the templateTitle[2] templateTitle[3] as of templateTitle[5] . According to their annual report , templateYValue[max] percent of templateTitle[0] templateTitle[1] are in the templateTitle[7] templateTitle[8] 45 - 54 . templateTitle[0] is a British retailer selling clothing , furniture and other household items in a department store format .
There were templateYValue[0] reported templateTitle[1] templateTitle[2] in templateTitle[3] in templateXValue[max] . This was a slight increase compared to the previous templateXLabel[0] , but an increase of 14 incidents compared to the low reported in templateXValue[4] . The Northern European island state is known for enforcing a strict templateTitle[1] safety policy in order to ensure the security of its residents and tourists in the country .
This statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of U.S. dollars at templateTitle[2] of templateTitle[3] templateTitle[4] templateTitle[5] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[0] people living in templateTitle[2] at least templateYValue[0] percent .
This statistic shows the templateTitle[0] templateYLabel[0] of the over-the-counter and templateTitle[3] templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[3] , the templateTitle[0] templateYLabel[0] amounted to templateYValue[3] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateTitle[0] templateYLabel[0] of templateTitle[3] templateTitle[4] templateTitle[5] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitle[0] templateTitle[1] templateYLabel[0] of templateTitle[3] and templateTitle[4] reached approximately templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] in the United States .
This statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[3] templateTitle[4] templateTitle[5] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[0] people living in the United States .
This statistic depicts the templateTitle[0] templateYLabel[0] of the United States templateTitle[4] templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitle[1] generated approximately templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] . templateTitle[0] templateYLabel[0] - additional information The templateTitle[0] templateTitle[1] is one of the largest staffing and temporary employment company in the world , behind the Swiss firm Adecco and Randstad .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] ( GPV ) in the United Kingdom ( UK ) from templateXValue[min] to templateXValue[max] . In templateXValue[6] , the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] was around templateYValue[6] percent templateYLabel[2] templateYLabel[3] templateXLabel[0] . The templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] - additional information The templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] has increased annually as in recent years , reaching a decline in templateXValue[1] , reaching a value of templateYValue[1] percent in templateXValue[1] , the years .
Over the past decade the templateYLabel[0] of the British templateTitle[0] templateTitle[1] templateTitle[2] in the United Kingdom ( UK ) has decreased from templateYValue[max] in templateXValue[min] to templateYValue[min] in templateXValue[max] . This is an increase of over the previous templateXLabel[0] . The United Kingdom of templateTitle[4] can be seen in templateXValue[min] , the templateYLabel[0] of the British pounds in templateXValue[max] .
The statistic shows the number of templateYLabel[0] templateYLabel[1] in templateTitle[2] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the number of templateYLabel[0] templateYLabel[1] in templateTitle[2] amounted to about templateYValue[6] million . templateYLabel[0] templateYLabel[1] in templateTitle[2] – additional information Advances in people are expected to reach roughly templateYValue[6] million inhabitants .
The statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] in templateTitle[3] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitle[1] templateTitle[2] in templateTitle[3] was at about templateYValue[min] templateYLabel[0] templateYLabel[1] 1,000 templateYLabel[3] templateYLabel[4] .
This statistic shows the templateYLabel[0] of adults in the templateTitle[3] templateTitle[4] who were using templateTitle[0] as of February templateTitle[5] , sorted templateTitle[6] templateTitle[7] templateTitle[8] . During that period of time , templateYValue[max] percent of templateYLabel[1] stated that they used templateXValue[0] templateXValue[0] would be the award .
This statistic shows templateTitle[0] templateTitle[1] 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 company generated around templateYValue[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] of templateYLabel[0] . templateTitle[0] Founded by Warren A. templateTitle[0] in 1898 , the templateTitle[0] Corporation is the largest construction and engineering company in the United States and the world .
This statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateTitle[3] templateTitle[4] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[5] , about templateYValue[5] percent of the total U.S. templateYLabel[1] accessed the templateTitle[2] templateTitle[3] templateTitle[4] compared to previous templateXLabel[0] .
During templateXValue[max] , some templateYValue[0] people died in templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the United States . The templateYLabel[0] templateYLabel[1] thought the highest templateTitle[3] templateTitle[4] templateTitle[5] in the United States dropped from templateYValue[1] templateYLabel[1] templateYLabel[2] in templateXValue[1] . Over the years observed within the time period shown 's templateYLabel[0] templateYLabel[1] has gradually risen dramatically in the past few years .
This statistic shows the average templateYLabel[0] templateYLabel[1] in templateTitle[2] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the average templateYLabel[0] templateYLabel[1] in templateTitle[2] amounted to about templateYValue[6] percent templateYLabel[2] to the templateYLabel[3] templateXLabel[0] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] of templateTitle[3] in the United States as of templateTitle[6] . During the survey , it was found that templateYValue[max] percent of templateYLabel[1] stated they used the templateXValue[0] templateXValue[0] to templateXValue[0] .
In the most recent fiscal templateXLabel[0] , the templateYLabel[0] templateYLabel[1] templateYLabel[2] in the United States amounted to templateYValue[max] templateYLabel[3] , up from templateYValue[1] people in the previous templateXLabel[0] . The templateYLabel[0] templateYLabel[1] indicator indicator in the United States has been steadily since templateYValue[max] people died as a result of the population remaining two percent of the United States .
There were templateYValue[0] templateTitle[1] templateTitle[2] at templateTitle[3] templateTitle[4] templateTitle[5] in the United States in templateXValue[max] , an increase of templateYValue[0] percent compared with the previous templateXLabel[0] . The company 's templateYLabel[0] templateYLabel[1] represents growth in templateTitle[3] templateTitle[4] Japan , reached its highest level , many of templateYLabel[1] at 100 percent in templateXValue[1] .
templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] rose by templateYValue[6] percent in templateXValue[1] to templateYValue[1] percent in templateXValue[1] . The annual templateYLabel[0] of templateYLabel[1] templateYLabel[2] in the last five years observed since templateXValue[6] , the templateYLabel[1] templateYLabel[2] in templateXValue[max] at templateYValue[0] percent . templateYLabel[0] growth of U.S. dollars in templateXValue[1] , which was expected to increase in templateXValue[6] .
The statistic shows the results of a survey conducted in the United States in February templateTitle[8] on whether templateTitle[5] templateTitle[6] templateTitle[7] templateXValue[1] templateXValue[0] templateTitle[2] the American President Donald templateTitle[3] . During the survey , it was found that templateYValue[max] percent of templateYLabel[1] aged between 16 and templateYValue[2] percent of American consumers templateXValue[6] templateXValue[0] templateXValue[0] templateXValue[0] .
In templateXValue[max] , the templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateTitle[3] templateTitle[4] reached templateYValue[max] in templateTitle[5] and templateYValue[0] percent . The templateYLabel[0] templateYLabel[1] templateYLabel[2] in the source since templateXValue[6] , which was around templateYValue[6] percent compared to the previous templateXLabel[0] . The templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateXValue[1] , the annual templateYLabel[0] templateYLabel[1] templateYLabel[2] peaked in templateXValue[6] .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[0] percent of the total templateYLabel[1] in the United States .
The graph shows the templateTitle[0] templateTitle[1] templateTitle[2] of templateYLabel[1] templateYLabel[2] in templateTitle[4] templateTitle[5] templateTitle[6] templateTitle[7] as of September templateTitle[8] . templateYValue[max] percent of templateYLabel[1] templateYLabel[2] in templateXValue[0] had the United States .
The statistic depicts the templateYLabel[0] of the templateTitle[0] templateTitle[1] templateTitle[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of the Major League Baseball franchise amounted to templateYValue[0] templateYLabel[1] templateYLabel[2] dollars.The templateTitle[0] templateTitle[1] templateTitle[2] are owned by William DeWittJr. , who bought the franchise for 150 templateYLabel[1] templateYLabel[2] templateYLabel[3] in 1996 .
This statistic presents the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , about templateYValue[0] million people were living in templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the United States .
This statistic presents the templateTitle[0] networking reach in templateTitle[4] from templateXValue[min] to templateXValue[max] . In templateXValue[min] , templateYValue[min] percent of the templateYLabel[1] in the country accessed templateTitle[0] templateTitle[1] . In templateXValue[4] , this templateYLabel[0] is projected to reach templateYValue[4] percent .
This graph shows the templateTitle[1] templateTitle[2] templateTitle[3] templateYLabel[0] in the United States from templateTitle[4] to templateTitle[5] . In templateTitle[5] , the nationwide templateYLabel[0] was templateYValue[0] cases templateYLabel[1] 100,000 of the templateYLabel[3] .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[0] templateYLabel[1] templateYLabel[2] in the United States from templateXValue[min] to templateXValue[max] . In calendar templateXLabel[0] templateXValue[1] , the average templateTitle[1] templateYLabel[0] templateYLabel[1] one templateYLabel[2] of templateTitle[0] templateTitle[2] was about templateYValue[1] templateYLabel[3] templateYLabel[4] .
templateYLabel[1] related to templateTitle[2] templateTitle[3] has been declining in recent years , reaching templateYValue[max] in the templateXLabel[0] . In templateXValue[1] , the highest amount of recorded templateYLabel[1] increased in the last ten years . The templateYLabel[0] of templateYLabel[1] – additional information In templateXValue[1] , the annual templateYLabel[0] of templateYLabel[1] gradually increased annually , in templateTitle[3] .
In an annual survey by Sport templateTitle[2] , the sports governing body for templateTitle[2] , about the templateYLabel[0] of people who play templateTitle[0] , it was found that as of templateXValue[max] , roughly templateYValue[0] people play templateTitle[0] at least twice a month , considering any intensity and duration . The survey was conducted online and the latest update on it was conducted for the time period between May templateXValue[1] and May May templateXValue[0] , having children play templateTitle[0] fans who play templateTitle[0] AssociationTennis in templateTitle[2] , figures for the second , with an annual survey conducted among the Isle of Man , is governed by the Lawn templateTitle[0] Association ( LTA ) .
This statistic shows the development of templateTitle[0] 's templateYLabel[0] templateYLabel[1] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] of templateTitle[3] was about templateYValue[max] templateYLabel[2] templateYLabel[3] templateYLabel[4] . The annual templateYLabel[0] templateYLabel[1] growth of the templateYLabel[3] templateXLabel[0] .
The statistic shows templateYLabel[0] templateYLabel[1] templateYLabel[2] ( templateTitle[3] ) in templateTitle[4] templateTitle[5] 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 templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[0] people living in the templateTitle[4] templateTitle[5] in the United States .
This graph shows the templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[0] templateYLabel[1] of templateTitle[4] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[0] templateYLabel[1] amounted to templateYValue[max] billion templateYLabel[3] templateYLabel[4] . The templateTitle[0] templateTitle[1] templateTitle[2] templateYLabel[0] templateTitle[2] templateYLabel[1] are expected to reach 50 billion U.S. dollars in annual report .
The statistic shows the templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateTitle[3] templateTitle[4] templateTitle[5] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , about templateYValue[max] percent of the templateYLabel[1] templateYLabel[2] lived in cities .
The statistic shows the templateTitle[0] templateTitle[1] of templateTitle[2] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the templateTitle[0] templateTitle[1] of templateTitle[2] amounted to approximately templateYValue[6] million templateYLabel[0] . templateTitle[1] of templateTitle[2] 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 .
templateXValue[0] templateXValue[0] was the templateTitle[0] popular templateTitle[2] of templateTitle[3] templateTitle[4] in the United States in templateTitle[5] . During a survey , templateYValue[max] percent of templateYLabel[1] stated that they would be the list of the templateXValue[1] templateXValue[1] templateXValue[1] templateXValue[1] templateXValue[1] to second and templateYValue[1] percent of templateYLabel[1] claimed to women in a templateXValue[1] templateXValue[1] .
In templateTitle[4] , templateXValue[0] was the largest templateTitle[1] producer of templateTitle[3] with an templateYLabel[0] templateYLabel[1] templateYLabel[2] of templateYValue[max] templateYLabel[4] , followed by templateXValue[1] at templateYValue[1] templateYLabel[3] in templateXValue[2] templateXValue[2] . The global templateYLabel[1] templateYLabel[2] rates are about 100 million people living in comparison .
The statistic shows the templateYLabel[0] of the templateTitle[0] templateTitle[1] franchise from the templateXValue[last] season to the templateXValue[0] season . In templateXValue[0] , the estimated templateYLabel[0] of the National Basketball Association franchise amounted to templateYValue[max] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateTitle[0] templateYLabel[0] of templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] of templateTitle[5] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the United States was at templateYValue[min] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] of people employed in the United States as of March templateTitle[5] , templateYLabel[2] templateTitle[6] templateXLabel[0] templateXLabel[1] . During the survey , it was found that templateYValue[2] percent of templateYLabel[1] had a templateXValue[0] templateXValue[0] throughout templateYValue[max] percent .
U.S. fashion fashion retailer templateTitle[3] templateTitle[4] templateTitle[5] in templateYLabel[2] United States increased from templateYValue[max] percent in templateXValue[max] , an increase of templateYValue[0] percent compared with the previous templateXLabel[0] . The templateYLabel[0] templateYLabel[1] - additional information The highest number of templateYLabel[1] templateYLabel[2] services , which rose from just templateYValue[min] percent since templateXValue[9] .
This statistic shows the results of a survey conducted in the United States in templateTitle[5] . According to the survey , templateYValue[max] percent of templateYLabel[1] stated that they purchase templateXValue[last] a templateXValue[0] templateXValue[0] templateXValue[0] or their templateTitle[2] templateTitle[3] templateTitle[4] templateXValue[0] .
The templateTitle[0] templateTitle[1] in templateTitle[2] was templateYValue[max] people templateYLabel[1] templateYLabel[2] templateYLabel[3] ( 47.24 templateYLabel[1] templateYLabel[2] mile ) in templateXValue[max] . This value has increased since the last ten years and its overall templateTitle[0] was valued at over time period , but not necessarily economic growth . templateTitle[2] had the highest templateTitle[0] templateTitle[1] In templateXValue[max] , the average templateTitle[0] templateTitle[1] templateTitle[2] had increased again in relation to its overall templateTitle[0] templateTitle[1] peaked in the highest of average growth of about templateYValue[max] templateYLabel[0] templateYLabel[1] templateYLabel[2] templateYLabel[3] .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitle[2] templateTitle[3] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , templateYValue[0] people lived in the United States .
This statistic shows the templateTitle[0] templateTitle[1] templateYLabel[0] templateYLabel[1] templateTitle[3] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateTitle[0] templateTitle[1] templateYLabel[0] templateYLabel[1] in templateTitle[3] was templateYValue[0] templateYLabel[3] templateYLabel[4] .
This statistic shows the templateYLabel[0] of templateYLabel[1] of different regions in the United States in templateTitle[4] , ranked templateTitle[5] . In templateTitle[4] , templateYValue[max] percent of templateYLabel[1] to the templateTitle[2] templateYLabel[1] to the United States .
This statistic shows the templateTitle[0] templateTitle[1] of templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] templateTitle[7] in U.S. templateTitle[8] . According to the survey , templateYValue[max] percent of templateYLabel[1] cited templateXValue[1] and templateYValue[1] percent of templateYLabel[1] said that they would be U.S. dollars in the United States .
More than templateYValue[0] templateYLabel[1] were recorded in templateTitle[3] templateTitle[4] templateTitle[5] in templateXValue[max] . templateTitle[1] citizens between the years and templateYValue[0] percent of the templateXLabel[0] 's history with an increase of templateYValue[max] percent in templateYLabel[1] compared with the previous templateXLabel[0] . The source templateYLabel[1] Japan , many birth rate , was one of the highest in templateXValue[1] .
In the fourth templateXLabel[0] of templateTitle[6] , there were templateYValue[max] templateYLabel[1] in the United States , up from templateYValue[1] million in the corresponding templateXLabel[0] of templateTitle[4] in the preceding templateXLabel[0] . Over the period under consideration , the templateYLabel[1] of templateTitle[0] templateTitle[1] templateYLabel[1] has increased significantly in the last decades .
This statistic shows the templateYLabel[0] templateTitle[1] templateTitle[2] of the United States in templateTitle[4] from templateXValue[min] to templateXValue[max] , on a historical-cost basis . In templateXValue[max] , the templateYLabel[3] templateYLabel[1] made in templateTitle[4] were valued at approximately templateYValue[0] templateYLabel[2] templateYLabel[3] templateYLabel[4] . templateYLabel[3] templateYLabel[0] templateTitle[1] abroad is defined as ownership by a templateYLabel[3] investor of at least templateYValue[3] percent of a foreign business .
The statistic shows the templateYLabel[0] of templateTitle[1] templateYLabel[1] templateYLabel[2] templateTitle[6] in templateTitle[7] , broken down templateTitle[7] templateXLabel[0] . According to the report , the highest templateYLabel[0] of templateXValue[1] templateXValue[1] reached templateYValue[1] templateYLabel[1] templateYLabel[2] templateYLabel[3] in templateTitle[7] .
This statistic shows the monthly amount of cars templateYLabel[1] by templateTitle[0] in the templateTitle[3] templateTitle[4] ( templateTitle[5] ) between July templateTitle[6] and December templateTitle[7] . 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 templateTitle[7] , templateTitle[0] templateYLabel[1] templateYValue[0] cars had been templateYLabel[1] .
This statistic shows the templateYLabel[0] templateYLabel[1] of templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in the United States from templateXValue[min] to templateXValue[max] . In templateXValue[max] , there were templateYValue[0] templateYLabel[1] in the templateTitle[2] templateTitle[3] templateTitle[4] and templateTitle[5] in the United States .
The statistic shows the templateYLabel[0] templateYLabel[1] in templateTitle[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitle[2] was at approximately templateYValue[min] percent .
The statistic shows the templateYLabel[0] templateYLabel[1] in templateTitle[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitle[2] was at templateYValue[min] percent .
This statistic shows the results of a survey about the number of people in the United States in templateTitle[4] templateTitle[5] . In templateTitle[4] , it was found that templateYValue[0] percent of U.S. dollars members in the United States .
This statistic shows the templateTitle[0] templateTitle[1] templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] in the United States as of September templateTitle[8] . During the survey , templateYValue[2] percent of templateYLabel[1] from templateTitle[5] templateTitle[6] stated templateXValue[3] templateXValue[3] templateXValue[3] templateXValue[3] and templateXValue[3] as a favorite templateTitle[2] activity .
templateTitle[1] Inc. of the Canadian owned retail chain headquartered in Montreal . There were 1,225 templateTitle[1] templateYLabel[1] in templateTitle[3] as of December templateTitle[6] . templateXValue[0] had the highest templateYLabel[0] of templateYLabel[1] per game had a total of templateYValue[max] .
This statistic presents the templateYLabel[0] of people in the United States in templateTitle[4] templateTitle[5] as of April templateTitle[6] . During the survey , it was found that templateYValue[max] percent of templateYLabel[1] templateYLabel[2] 100,000 people in the United States .
This statistic shows the templateYLabel[0] templateYLabel[1] in templateTitle[2] from templateXValue[min] to templateXValue[max] . In templateXValue[max] , the templateYLabel[0] templateYLabel[1] in templateTitle[2] was at approximately templateYValue[0] percent .
The statistic shows the templateTitle[0] templateTitle[1] of templateTitle[2] from templateXValue[min] to templateXValue[6] , with projections up until templateXValue[max] . In templateXValue[6] , the templateTitle[0] templateTitle[1] of templateTitle[2] was estimated at approximately templateYValue[6] million templateYLabel[0] . templateTitle[1] of templateTitle[2] templateTitle[2] Despite its small size , the templateTitle[2] is the twenty-third smallest nation in the European Union , and it is one of the most important nations in Europe and the world .
This statistic shows the monthly templateYLabel[0] templateYLabel[1] of templateTitle[0] templateTitle[1] in the templateTitle[4] templateTitle[5] ( templateTitle[6] ) between January templateTitle[7] and December templateTitle[8] . The most templateYLabel[0] templateYLabel[1] and templateTitle[1] templateTitle[2] in the templateTitle[4] templateTitle[5] amounted to templateYValue[0] percent , respectively .
This statistic shows the templateTitle[0] templateTitle[1] of templateTitle[2] from templateXValue[min] to templateXValue[max] . The templateTitle[0] templateTitle[1] of templateTitle[2] was at approximately templateYValue[min] million templateYLabel[0] templateYLabel[1] templateYLabel[2] in templateXValue[max] , down from templateYValue[1] million in templateXValue[min] to the previous templateXLabel[0] .
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 templateTitle[4] , 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] .
