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Number of social welfare recipients in Sweden from 2009 to 2019
In 2019 , roughly 382 thousand individuals in Sweden received social welfare benefits . The number of recipients fluctuated over the years , with a peak in 2010 when almost 437 thousand individuals received the benefits . The benefits in 2010 reached a value of over 12 billion Swedish kronor . In 2019 , the expenditure on social benefits amounted to around 11.6 billion Swedish kronor .
[['Year', 'Number of people receiving social welfare'], ['2009', '422810'], ['2010', '436906'], ['2011', '417880'], ['2012', '399449'], ['2013', '411485'], ['2014', '410621'], ['2015', '415664'], ['2016', '409681'], ['2017', '408952'], ['2018', '394211'], ['2019', '381571']]
Share of people who ski in Europe as of 2019 , by country
These results of an annual survey show how participation in different snow sport activities by people in the United Kingdom ( UK ) , who go on snow sport holidays , changed over several years . While regular alpine skiing has slightly decreased , off-piste skiing and snowboarding have slightly increased . Cross-country skiing and ski touring have not changed much in attendance .
[['Response', 'Share of population'], ['Liechtenstein', '36%'], ['Switzerland', '35%'], ['Austria', '34%'], ['Finland', '23%'], ['Norway', '22%'], ['Czech Republic', '21%'], ['Andorra', '20%'], ['Germany', '18%'], ['Iceland', '18%'], ['Sweden', '18%'], ['Slovakia', '18%'], ['Slovenia', '14%'], ['France', '13%'], ['Poland', '13%'], ['Denmark', '12%'], ['Italy', '12%'], ['Belgium', '11%'], ['United Kingdom', '10%'], ['Latvia', '10%'], ['Montenegro', '10%'], ['Macedonia', '7%'], ['Hungary', '6%'], ['Lithuania', '5%'], ['Estonia', '5%'], ['Croatia', '5%'], ['Bulgaria', '5%'], ['Bosnia and Herzegovina', '5%'], ['Spain', '5%'], ['Russia', '3%'], ['Romania', '3%'], ['Serbia', '3%'], ['Kosovo', '3%'], ['Georgia', '2%'], ['Portugal', '2%'], ['Greece', '2%'], ['Ukraine', '2%'], ['Belarus', '2%'], ['Armenia', '2%'], ['Turkey', '1%'], ['Azerbaijan', '1%'], ['Kazakhstan', '1%'], ['Kyrgyzstan', '1%'], ['Albania', '1%']]
Distribution of eBay employees worldwide as of December 2019 , by gender and department
This statistic illustrates the distribution of eBay employees worldwide as of December 2019 , sorted by gender . As of the most recently report period , 31 percent of global eBay leadership employees were female . The majority of employees were male .
[['department', 'Male', 'Female'], ['Leaders (Directors and above)', '69%', '31%'], ['Tech', '76%', '24%'], ['Non-tech', '51%', '49%']]
Value of maple sugar and maple syrup exported from Denmark from 2009 to 2013 ( in 1,000 Canadian dollars )
This statistic displays the export of maple sugar and maple syrup from Denmark between 2009 and 2013 . The value of maple sugar and maple syrup exported from Denmark has increased since 2009 . In 2013 the value of maple sugar and syrup exported from Denmark was valued at approximately 6.3 million Canadian dollars .
[['Year', 'Export value in thousand Canadian dollars'], ['2013', '6282'], ['2012', '5528'], ['2011', '5119'], ['2010', '5450'], ['2009', '3890']]
Share of individuals using the internet daily in selected European countries from 2017 to 2019
This statistic displays the percentage of individuals in selected European countries use the internet daily of 2019 . In 2019 , 68 percent of individuals in Poland were daily internet users .
[['Country', '2017', '2018', '2019'], ['European Union - 28 countries', '72%', '76%', '79%'], ['Euro area*', '73%', '76%', '79%'], ['Belgium', '76%', '82%', '85%'], ['Bulgaria', '54%', '55%', '60%'], ['Czechia', '68%', '75%', '76%'], ['Denmark', '91%', '92%', '92%'], ['Germany', '79%', '84%', '85%'], ['Estonia', '79%', '82%', '83%'], ['Ireland', '70%', '74%', '83%'], ['Greece', '59%', '61%', '65%'], ['Spain', '69%', '72%', '78%'], ['France', '70%', '75%', '77%'], ['Croatia', '58%', '66%', '71%'], ['Italy', '68%', '71%', '73%'], ['Cyprus', '74%', '77%', '79%'], ['Latvia', '70%', '73%', '75%'], ['Lithuania', '64%', '68%', '73%'], ['Luxembourg', '91%', '86%', '87%'], ['Hungary', '69%', '69%', '75%'], ['Malta', '76%', '77%', '82%'], ['Netherlands', '90%', '90%', '92%'], ['Austria', '74%', '76%', '80%'], ['Poland', '61%', '64%', '68%'], ['Portugal', '63%', '64%', '65%'], ['Romania', '47%', '53%', '57%'], ['Slovenia', '68%', '71%', '74%'], ['Slovakia', '69%', '68%', '76%'], ['Finland', '87%', '88%', '90%'], ['Sweden', '90%', '88%', '91%'], ['United Kingdom', '85%', '91%', '91%'], ['Iceland', '96%', '96%', '97%'], ['Norway', '92%', '93%', '95%'], ['Montenegro', '62%', '63%', '65%'], ['North Macedonia', '62%', '68%', '73%'], ['Serbia', '62%', '68%', '72%'], ['Turkey', '57%', '63%', '67%']]
USA Swimming number of members from 2000 to 2019
From 2000 to 2019 , the number of USA Swimming memberships increased overall . As of 2019 , roughly 327 thousand people were year-round members of a swimming club in the United States .
[['Year', 'Year-round Athlete', 'Seasonal Athlete', 'Non-Athlete'], ['2019', '327337', '18728', '40273'], ['2018', '346735', '24759', '39637'], ['2017', '354627', '25175', '39154'], ['2016', '336026', '23858', '38375'], ['2015', '337084', '25326', '37399'], ['2014', '339903', '27683', '36521'], ['2013', '340568', '29555', '34480'], ['2012', '300884', '30074', '32013'], ['2011', '291182', '30133', '31154'], ['2010', '286900', '33027', '30554'], ['2009', '286147', '34866', '29557'], ['2008', '257180', '33672', '28447'], ['2007', '251547', '35388', '28695'], ['2006', '249326', '35253', '28416'], ['2005', '249182', '36249', '27847'], ['2004', '232361', '36970', '27314'], ['2003', '235013', '37176', '27652'], ['2002', '228216', '37978', '26322'], ['2001', '232253', '37715', '26151'], ['2000', '221352', '39223', '25732']]
Value of fresh or dried citrus fruits imported to the United Kingdom ( UK ) from 2001 to 2019 ( in 1,000 GBP )
This statistic presents the value of fresh or dried citrus fruit imported to the United Kingdom ( UK ) annually from 2001 to 2019 . Imports of fresh or dried citrus fruit were valued at approximately 602 million British pounds in 2019 .
[['Year', 'Import value in thousand GBP'], ['2019', '601622'], ['2018', '628149'], ['2017', '639078'], ['2016', '607871'], ['2015', '516989'], ['2014', '499969'], ['2013', '507120'], ['2012', '428044'], ['2011', '436587'], ['2010', '433440'], ['2009', '418550'], ['2008', '405984'], ['2007', '356991'], ['2006', '343050'], ['2005', '343103'], ['2004', '340164'], ['2003', '321024'], ['2002', '302037'], ['2001', '294390']]
Comparison of road length and traffic by road types in the United Kingdom ( UK ) in 2017
This statistic compares the road lengths of different types of road in the United Kingdom ( UK ) in 2017 with the amount of road traffic they carry as percentage shares of the total values . Thus motorways , which only make up one percent of the UK 's total road network , carry a fifth of the country 's total traffic . On the other hand , rural minor roads make up the majority of the road network in terms of length , but only carry 14 percent of the road traffic .
[['road types', 'Road traffic', 'Road length'], ["Rural 'A' Roads", '30%', '9%'], ['Motorways', '21%', '1%'], ['Urban Minor Roads', '20%', '35%'], ["Urban 'A' Roads", '15%', '3%'], ['Rural Minor Roads', '14%', '53%']]
Monthly chained inflation rate in the United States from November 2019 to November 2020
In November 2020 , the chained consumer price index for all urban consumers ( C-CPI-U ) in the United States decreased by 0.1 percent from the previous month . The data represents U.S. city averages . The base period was December 1999=100 . The chain weighted CPI incorporates the average changes in the quantity of goods purchased , along with standard pricing effects . This allows the chain weighted CPI to reflect situations where customers shift the weight of their purchases from one area of spending to another . A projection of the annual inflation rate of the country can be accessed here and the actual annual inflation rate since 1990 can be accessed here .
[['Month', 'Chained inflation rate'], ["Nov '20", '-0.1%'], ["Oct '20", '0%'], ["Sep '20", '0.2%'], ["Aug '20", '0.3%'], ["Jul '20", '0.5%'], ["Jun '20", '0.6%'], ["May '20", '0%'], ["Apr '20", '-0.8%'], ["Mar '20", '-0.3%'], ["Feb '20", '0.3%'], ["Jan '20", '0.4%'], ["Dec '19", '-0.1%'], ["Nov '19", '-0.1%']]
Monthly inflation rate in Germany from February 2018 to January 2019 ( HICP compared to same month in the previous year )
This statistic shows the monthly inflation rate for HICP ( all items ) compared to the same period in the previous year in Germany from February 2018 to January 2019 . In December 2018 , the inflation rate was 1.7 percent compared to the same month in the previous year .
[['Month', 'Growth rate of HICP'], ["Jan '19*", '1.7%'], ["Dec '18", '1.7%'], ["Nov '18", '2.2%'], ["Oct '18", '2.4%'], ["Sep '18", '2.2%'], ["Aug '18", '1.9%'], ["Jul '18", '2.1%'], ["Jun '18", '2.1%'], ["May '18", '2.2%'], ["Apr '18", '1.4%'], ["Mar '18", '1.5%'], ["Feb '18", '1.2%']]
Revenue of Lennar Corporation from FY 2013 to FY 2019 ( in billion U.S. dollars )
This statistic shows the revenue of the homebuilding company , Lennar Corporation , from the 2013 to 2019 financial years . The Florida-based home builder reported revenue of 22.26 billion U.S. dollars in FY 2019 .
[['Year', 'Revenue in billion U.S. dollars'], ['2019', '22.26'], ['2018', '20.57'], ['2017', '12.65'], ['2016', '10.95'], ['2015', '9.47'], ['2014', '7.78'], ['2013', '5.94']]
Breakdown of the number of racist offenses or hate crimes in France from 2016 to 2018 , by target population
This statistic presents the breakdown of the number of racist offenses or hate crimes in France from 2016 to 2018 , according to their target population . It shows that in 2016 there was a total of 1,128 racist offenses in France compared to 950 in 2017 . The graph revealed that the number of racist offenses in France increased between 2017 and 2018 .
[['target population', '2016', '2017', '2018'], ['Total', '1128', '950', '1137'], ['Anti-Semitism', '335', '311', '541'], ['Anti-Muslim Racism', '185', '121', '100'], ['Racism', '608', '518', '496']]
Quarterly reach of the BBC Two television channel in the United Kingdom ( UK ) from 1st quarter 2012 to 3rd quarter 2019 ( in 1,000 viewers )
This statistic shows the quarterly reach of the BBC Two television channel in the United Kingdom ( UK ) from the first quarter of 2012 to the third quarter of 2019 . In the third quarter of 2019 BBC Two hit its lowest number of viewers since 2012 at roughly 49.6 million viewers .
[['Quarter', 'Viewers in thousands'], ['Q1 2012', '54022'], ['Q2 2012', '53215'], ['Q3 2012', '54241'], ['Q4 2012', '53829'], ['Q1 2013', '54185'], ['Q2 2013', '53466'], ['Q3 2013', '52786'], ['Q4 2013', '53680'], ['Q1 2014', '54370'], ['Q2 2014', '52720'], ['Q3 2014', '53084'], ['Q4 2014', '53693'], ['Q1 2015', '52950'], ['Q2 2015', '51285'], ['Q3 2015', '52122'], ['Q4 2015', '53807'], ['Q1 2016', '52573'], ['Q2 2016', '52535'], ['Q3 2016', '53487'], ['Q4 2016', '53419'], ['Q1 2017', '51949'], ['Q2 2017', '51605'], ['Q3 2017', '51263'], ['Q4 2017', '52659'], ['Q1 2018', '52127'], ['Q2 2018', '50373'], ['Q3 2018', '50535'], ['Q4 2018', '51879'], ['Q1 2019', '50899'], ['Q2 2019', '49947'], ['Q3 2019', '49645']]
Consumer Price Index ( CPI ) of pulses and its products across urban and rural India as of July 2017 , by month
This statistic shows the consumer price index ( CPI ) of pulses and pulses products across rural and urban India in 2018 , broken down by month . For instance , in December , the Consumer Price Index for pulses and its products across rural areas in the country was 117.5 , meaning it had increased by approximately 18 percent since the year 2012 .
[['Month', 'Rural', 'Urban', 'All India'], ['January', '131.8', '118.4', '127.3'], ['February', '130.2', '117.0', '125.8'], ['March', '129.3', '115.5', '124.6'], ['April', '128.4', '114.0', '123.5'], ['May', '127.2', '112.8', '122.3'], ['June', '126.0', '112.3', '121.4'], ['July', '126.4', '112.6', '121.7'], ['August', '126.8', '113.6', '122.4'], ['September', '125.4', '113.5', '121.4'], ['October', '121.4', '113.2', '118.6'], ['November', '121.0', '115.3', '119.1'], ['December', '120.9', '117.5', '119.8']]
Global revenue of Adidas , Nike and Puma from 2006 to 2019 ( in billion euros )
The statistic shows the global revenues of the sporting goods companies Nike , Adidas and Puma from 2006 to 2019 . In 2019 , the Adidas Group generated 23.64 billion euros in revenue .
[['Year', 'Nike**', 'Adidas Group', 'Puma'], ['2019', '35.13', '23.64', '5.5'], ['2018', '31.35', '21.92', '4.65'], ['2017', '30.57', '21.22', '4.14'], ['2016', '29.1', '18.48', '3.63'], ['2015', '27.51', '16.92', '3.39'], ['2014', '24.99', '14.53', '2.97'], ['2013', '22.75', '14.2', '2.99'], ['2012', '20.97', '14.88', '3.27'], ['2011', '18.08', '13.32', '3.17'], ['2010', '16.47', '11.99', '2.86'], ['2009', '16.65', '10.38', '2.61'], ['2008', '16.74', '10.8', '2.77'], ['2007', '14.68', '10.3', '2.74'], ['2006', '13.44', '10.08', '2.76']]
Youth unemployment rate in Northern Ireland from 4th quarter 1992 to 2nd quarter 2020
In the twelve months leading up to the end of June 2020 , the youth unemployment rate of Northern Ireland was 5.7 percent , compared with 7.4 percent in the twelve months leading up to the end of March 2020 .
[['Quarter', 'Unemployment rate'], ['Q2 2020', '5.7%'], ['Q1 2020', '7.4%'], ['Q4 2019', '7.7%'], ['Q3 2019', '8.7%'], ['Q2 2019', '7.4%'], ['Q1 2019', '7.5%'], ['Q4 2018', '8%'], ['Q3 2018', '7.6%'], ['Q2 2018', '8.6%'], ['Q1 2018', '10%'], ['Q4 2017', '11.2%'], ['Q3 2017', '11.6%'], ['Q2 2017', '14.4%'], ['Q1 2017', '15.5%'], ['Q4 2016', '16.8%'], ['Q3 2016', '17.3%'], ['Q2 2016', '15.4%'], ['Q1 2016', '15.5%'], ['Q4 2015', '18.2%'], ['Q3 2015', '19.4%'], ['Q2 2015', '21.4%'], ['Q1 2015', '21.1%'], ['Q4 2014', '18.7%'], ['Q3 2014', '19.5%'], ['Q2 2014', '21%'], ['Q1 2014', '21.3%'], ['Q4 2013', '21.4%'], ['Q3 2013', '19.5%'], ['Q2 2013', '18.2%'], ['Q1 2013', '20%'], ['Q4 2012', '19.2%'], ['Q3 2012', '20%'], ['Q2 2012', '20.6%'], ['Q1 2012', '18.5%'], ['Q4 2011', '18.8%'], ['Q3 2011', '19%'], ['Q2 2011', '17.8%'], ['Q1 2011', '18.3%'], ['Q4 2010', '18.6%'], ['Q3 2010', '16.6%'], ['Q2 2010', '18.4%'], ['Q1 2010', '16.7%'], ['Q4 2009', '16.8%'], ['Q3 2009', '16.4%'], ['Q2 2009', '13.8%'], ['Q1 2009', '13.8%'], ['Q4 2008', '11.1%'], ['Q3 2008', '10.2%'], ['Q2 2008', '10.3%'], ['Q1 2008', '10.3%'], ['Q4 2007', '10.1%'], ['Q3 2007', '9.5%'], ['Q2 2007', '10.4%'], ['Q1 2007', '10.8%'], ['Q4 2006', '11.5%'], ['Q3 2006', '12.1%'], ['Q2 2006', '11%'], ['Q1 2006', '10.2%'], ['Q4 2005', '9.6%'], ['Q3 2005', '10%'], ['Q2 2005', '11.4%'], ['Q1 2005', '12.3%'], ['Q4 2004', '12.6%']]
Mobile app features provided by multi-channel retailers in the United Kingdom ( UK ) in 2012 and 2013
This statistic displays the most common mobile app features provided by multi-channel retailers in the United Kingdom ( UK ) in 2012 and 2013 . In 2013 , 23.7 percent of multi-channel retailers had apps with videos . Almost eight percent of retailers had apps with games .
[['Mobile app features', '2013', '2012'], ['Locate shops', '78.9%', '66.7%'], ['Order products for delivery', '73.7%', '66.7%'], ['Social media', '44.7%', '27.5%'], ['Scan products for additional information', '42.1%', '31.4%'], ['Features', '39.5%', '43.1%'], ['Videos', '23.7%', '21.6%'], ['Locate stock', '18.4%', '23.6%'], ['Special offers', '13.2%', '51%'], ['Game', '7.9%', '0%'], ['Augmented reality', '5.3%', '9.8%'], ['Store map', '2.6%', '0%'], ['Loyalty', '2.6%', '0%'], ['Track', '0%', '5.9%']]
Number of millionaire households in selected European countries as of 2014
The statistic displays the number of households that own net private wealth of at least one million euros in Europe as of 2014 . The countries with the largest number of millionaire households include Germany ( 1.4 million of ultra-rich households ) and France ( 1.3 million households ) .
[['Country', 'Number of millionaire households'], ['Germany', '1433985'], ['France', '1334066'], ['Italy', '818538'], ['United Kingdom', '796646'], ['Netherlands', '703108'], ['Switzerland', '555483'], ['Belgium', '415117'], ['Austria', '200298'], ['Spain', '168134'], ['Luxembourg', '50612'], ['Portugal', '46416'], ['Greece', '34723'], ['Finland', '25995'], ['Slovakia', '9532'], ['Cyprus', '7269'], ['Slovenia', '6784']]
Number of passenger cars registered in France from 2010 to 2018 , by segment
This statistic displays the number of passenger cars registered in France from 2010 to 2018 , by segment . Over the time period observed , passenger cars in the small and mini segment maintained the highest number of registrations , reaching approximately 1.05 million in 2016 .
[['Year', 'Small and mini segment', 'Medium segment', 'Large segment', 'Executive and luxury segment'], ['2018', '1195321', '582054', '275894', '120212'], ['2017', '1091792', '604368', '278439', '139149'], ['2016', '1052155', '558923', '264265', '139834'], ['2015', '1031441', '545819', '235633', '104333'], ['2014', '967138', '538578', '205487', '84682'], ['2010', '1283902', '627694', '234664', '105313']]
Annual turnover of the manufacture of rubber and plastic products in Poland from 2008 to 2018 ( in million euros )
This statistic shows the annual turnover of the manufacture of rubber and plastic products in Poland from 2008 to 2018 . In 2017 , the Polish manufacturing sector of rubber and plastic products produced a turnover of approximately 22.16 billion euros .
[['Year', 'Annual turnover in million euros'], ['2018*', '23955.8'], ['2017', '22158.9'], ['2016', '19793.5'], ['2015', '19090.8'], ['2014', '18176.0'], ['2013', '16987.8'], ['2012', '16102.6'], ['2011', '15985.7'], ['2010', '13786.8'], ['2009', '11044.6'], ['2008', '13504.3']]
Annual value of residential and non-residential property purchase transactions in the United Kingdom ( UK ) from 2005 to 2014 ( in million GBP )
This statistic shows the annual value of property purchase transactions carried in the United Kingdom ( UK ) from 2005 to 2014 . There was a sharp reduction in transaction values at the beginning of housing market and credit crisis in 2008 , when the value of property purchase transactions fell from 479.7 billion in 2007 to 283.4 billion British pounds following year . By 2014 , the transactions value recovered and reached 417.7 billion British pounds .
[['Year', 'Transaction value in million GBP'], ['2014*', '417720'], ['2013', '339995'], ['2012', '288713'], ['2011', '272537'], ['2010', '272557'], ['2009', '240163'], ['2008', '283366'], ['2007', '479696'], ['2006', '458475'], ['2005', '404438']]
Best-selling car and light truck models worldwide in 2019 ( in 1,000 units )
While the Toyota Corolla was the best-selling car model in 2019 , the Ford F-Series truck was the world 's best-selling light truck model in the same year . Both Toyota and Ford sold more than one million units of their top models . This means that about two Corolla cars and F-Series trucks were sold per minute . Overall global car sales dipped to 74 million in 2019 .
[['automobile model series', 'Number of sales in thousands'], ['Toyota Corolla', '1236.38'], ['Ford F-Series', '1070.23'], ['Toyota RAV4', '931.85'], ['Honda Civic', '821.37'], ['Honda CR-V', '818.98']]
How much confidence do you have that the health care system can handle the outbreak of coronavirus ( COVID-19 ) in Norway in a good way ?
As of March 2020 , the biggest share of the Norwegian respondents ( 47 percent ) had quite a lot of confidence that the national health care system can handle the coronavirus ( COVID-19 ) outbreak in a good way . By comparison , only four percent had no trust in the health care system at all . The first case of COVID-19 in Norway was confirmed on February 26 , 2020 . For further information about the coronavirus ( COVID-19 ) pandemic , please visit our dedicated Facts and Figures page .
[['Response', 'Share of respondents'], ['Very much confidence', '9%'], ['Quite a lot of confidence', '47%'], ['Not much confidence', '33%'], ['No confidence at all', '6%'], ['Do not know', '4%']]
Countries with the largest number of prisoners , as of June 2020
As of June 2020 , the United States had the highest number of incarcerated individuals worldwide , with more than 2.12 million people in prison . The U.S. was followed by China , Brazil , the Russian Federation , and India .
[['Country', 'Number of detainees'], ['United States of America', '2121600'], ['China', '1710000'], ['Brazil', '773151'], ['Russian Federation', '511030'], ['India', '466084'], ['Thailand', '375148'], ['Turkey', '286000'], ['Iran', '240000'], ['Philippines', '215000'], ['Indonesia', '210693'], ['Mexico', '198384'], ['South Africa', '154437'], ['Vietnam', '123697'], ['Ethiopia', '113727'], ['Colombia', '112864'], ['Egypt*', '106000'], ['Argentina', '103209'], ['Peru', '96870'], ['Myanmar', '92000'], ['Bangladesh', '88084']]
Marijuana and cannabis consumption among adults in the past three months in Canada as of December 2019 , by gender
As of December 2019 , some 18.4 percent of surveyed males had consumed marijuana or cannabis in the past three months in Canada . In comparison , 15.1 percent of female respondents had used the recently legalized drug in the same time period .
[['Response', 'Share of respondents'], ['Male', '18.4%'], ['Female', '15.1%']]
Annual solar PV capacity installations in the U.S. residential sector from 2005 to 2019 ( in megawatts )
This statistic represents solar photovoltaic capacity installations in the residential sector in the United States between 2005 and 2019 . In 2019 , residential sector PV installations reached a capacity of 2.8 gigawatts .
[['Year', 'Capacity in megawatts'], ['2019', '2800'], ['2018', '2400'], ['2017', '2227'], ['2016', '2583'], ['2015', '2099'], ['2014', '1231'], ['2013', '792'], ['2012', '494'], ['2011', '304'], ['2010', '246'], ['2009', '164'], ['2008', '82'], ['2007', '58'], ['2006', '38'], ['2005', '27']]
Value of pulses imported into India from financial year 2011 to 2020 ( in billion Indian rupees )
India imported pulses worth over 102 billion Indian rupees in financial year 2020 , an increase from the previous financial year . This was a considerable drop in import value of pulses from fiscal year 2015 in the country .
[['financial year', 'Import value in billion Indian rupees'], ['FY 2020', '102.21'], ['FY 2019', '80.35'], ['FY 2018', '187.5'], ['FY 2017', '285.2'], ['FY 2016', '256.2'], ['FY 2015', '170.63'], ['FY 2014', '110.37'], ['FY 2013', '133.45'], ['FY 2012', '94.48'], ['FY 2011', '75.12']]
Organic retail sales value in the European Union and Europe from 2004 to 2018 ( in billion euros )
Organic retail sales in 2018 came to approximately 37.4 billion euros in the European Union and 37.4 billion in Europe . In both cases an increase could be observed over the entire period . An annual increase was seen between 2004 and 2018 for both regions with a steep acceleration of growth , beginning around 2014 . Retail sales of organic food in Germany amounted to approximately 11 billion in 2018 . Second biggest market measured in retail sales was France .
[['Year', 'Europe', 'European Union'], ['2018', '40.7', '37.4'], ['2017', '37.3', '34.3'], ['2016', '33.8', '30.9'], ['2015', '30.1', '27.4'], ['2014', '26.3', '24.0'], ['2013', '24.2', '22.1'], ['2012', '22.7', '20.9'], ['2011', '21.3', '19.6'], ['2010', '19.5', '18.0'], ['2009', '18.1', '16.9'], ['2008', '17.4', '16.3'], ['2007', '16.1', '15.2'], ['2006', '13.9', '13.1'], ['2005', '11.8', '11.0'], ['2004', '11.0', '10.2']]
Vietnam : Life expectancy at birth from 2008 to 2018
This statistic shows the life expectancy at birth in Vietnam from 2008 to 2018 . In 2018 , the average life expectancy at birth in Vietnam was 75.32 years .
[['Year', 'Life expectancy at birth in years'], ['2018', '75.32'], ['2017', '75.24'], ['2016', '75.17'], ['2015', '75.11'], ['2014', '75.06'], ['2013', '75.01'], ['2012', '74.96'], ['2011', '74.9'], ['2010', '74.84'], ['2009', '74.75'], ['2008', '74.63']]
Share of countries using metrics to measure cyber security development at a national level in 2018
This statistic presents the share of countries using metrics to measure cyber security development at a national level in 2018 . According to the report , 53 percent of ITU member nations had stated to not using metrics to measure cyber security development , while 47 percent of countries reported to utilizing such metrics to measure development .
[['Response', 'Share of responses'], ['Yes', '47%'], ['No', '53%']]
Population distribution of Yukon , Canada , in 2016 , by rural/urban type
This statistic shows the population distribution of Yukon , Canada in 2016 , by urban/rural type . In 2016 , 39.4 percent of Yukon 's population lived in rural areas .
[['Response', 'Share of population'], ['Large urban population centre population', '0%'], ['Medium population centre population', '0%'], ['Small population centre population', '60.6%'], ['Rural population', '39.4%']]
Renewable electricity mix in the European Union ( EU-28 ) from 2013 to 2018 , by energy source ( in terawatt hours )
Between 2013 and 2016 , hydropower was the main renewable source in the 28 European members electricity mix . From 2017 onnwards , wind power became the major renewable source in the EU-28 , generating 377.5 terawatt hours worth of electricity in 2018 . In the same year , ocean and geothermal power were the renewable sources with the lowest electricity generation , with 0.5 and 6.7 terawatt hours , respectively .
[['Year', 'Wind power', 'Hydraulic power', 'Biomass', 'Solar power', 'Geothermal', 'Ocean energies'], ['2013', '236.6', '369.5', '157.5', '85.6', '5.9', '0.4'], ['2014', '251.6', '374.0', '166.1', '96.5', '6.2', '0.5'], ['2015', '301.9', '341.1', '177.8', '107.9', '6.5', '0.5'], ['2016', '302.9', '350.1', '180.4', '110.8', '6.6', '0.1'], ['2017', '361.9', '300.2', '184.4', '119.4', '6.7', '0.5'], ['2018', '377.4', '349.8', '189.3', '127.8', '6.7', '0.5']]
Panama : Youth unemployment rate from 1999 to 2020
The statistic shows the youth unemployment rate in Panama from 1999 and 2020 . According to the source , the data are ILO estimates . In 2020 , the estimated youth unemployment rate in Panama was at 9.75 percent .
[['Year', 'Youth unemployment rate'], ['2020', '9.75%'], ['2019', '10.04%'], ['2018', '10.39%'], ['2017', '10.82%'], ['2016', '8.29%'], ['2015', '8.06%'], ['2014', '6.95%'], ['2013', '6.26%'], ['2012', '6.4%'], ['2011', '6.19%'], ['2010', '8.39%'], ['2009', '8.24%'], ['2008', '7.58%'], ['2007', '7.63%'], ['2006', '8.6%'], ['2005', '9.05%'], ['2004', '9.22%'], ['2003', '9.29%'], ['2002', '9.56%'], ['2001', '9.2%'], ['2000', '8.77%'], ['1999', '8.63%']]
Weekly number of actual deaths in the United States from all causes compared to the maximum expected number from January 14 , 2017 to August 1 , 2020
This statistic shows the weekly number of actual deaths in the United States from all causes compared to the maximum expected number of deaths from January 14 , 2017 to August 1 , 2020 . In March 2020 , the actual number of deaths from all causes began to exceed the estimated maximum number of deaths due to the COVID-19 pandemic .
[['Year', 'Actual deaths', 'Maximum expected deaths'], ['1-Aug-20', '55485', '53675'], ['25-Jul-20', '61022', '53908'], ['18-Jul-20', '60857', '53923'], ['11-Jul-20', '60055', '54133'], ['4-Jul-20', '58552', '54257'], ['27-Jun-20', '58658', '54411'], ['20-Jun-20', '58394', '54640'], ['13-Jun-20', '58555', '54545'], ['6-Jun-20', '59347', '54754'], ['30-May-20', '60153', '54953'], ['23-May-20', '62113', '55130'], ['16-May-20', '65004', '55516'], ['9-May-20', '67322', '55804'], ['2-May-20', '69818', '56381'], ['25-Apr-20', '74388', '57045'], ['18-Apr-20', '77207', '57625'], ['11-Apr-20', '79415', '58258'], ['4-Apr-20', '72525', '58726'], ['28-Mar-20', '63136', '59385'], ['21-Mar-20', '59101', '59940'], ['14-Mar-20', '58390', '60270'], ['7-Mar-20', '59690', '60659'], ['29-Feb-20', '59449', '60940'], ['22-Feb-20', '59043', '61381'], ['15-Feb-20', '58631', '61733'], ['8-Feb-20', '59270', '61896'], ['1-Feb-20', '58655', '62066'], ['25-Jan-20', '59033', '62606'], ['18-Jan-20', '59276', '62541'], ['11-Jan-20', '60660', '62496'], ['4-Jan-20', '60103', '61900'], ['28-Dec-19', '58615', '61536'], ['21-Dec-19', '57575', '60455'], ['14-Dec-19', '57789', '59898'], ['7-Dec-19', '57415', '59248'], ['30-Nov-19', '55591', '58970'], ['23-Nov-19', '56326', '58155'], ['16-Nov-19', '56030', '57814'], ['9-Nov-19', '55801', '57278'], ['2-Nov-19', '54206', '56915'], ['26-Oct-19', '54154', '56707'], ['19-Oct-19', '54435', '56617'], ['12-Oct-19', '53217', '56076'], ['5-Oct-19', '52680', '55712'], ['28-Sep-19', '52879', '55344'], ['21-Sep-19', '51905', '54975'], ['14-Sep-19', '51741', '54866'], ['7-Sep-19', '51953', '54637'], ['31-Aug-19', '51291', '54499'], ['24-Aug-19', '51141', '54242'], ['17-Aug-19', '51121', '54103'], ['10-Aug-19', '51849', '54100'], ['3-Aug-19', '51542', '54210'], ['27-Jul-19', '51800', '54341'], ['20-Jul-19', '51800', '54388'], ['13-Jul-19', '52070', '54306'], ['6-Jul-19', '52498', '54703'], ['29-Jun-19', '52316', '54846'], ['22-Jun-19', '52423', '55032'], ['15-Jun-19', '52789', '55037'], ['8-Jun-19', '53292', '54943'], ['1-Jun-19', '52856', '55189'], ['25-May-19', '53822', '55390'], ['18-May-19', '53676', '55818'], ['11-May-19', '53611', '56254'], ['4-May-19', '54118', '56677'], ['27-Apr-19', '53767', '57407'], ['20-Apr-19', '54584', '57961'], ['13-Apr-19', '55641', '58520'], ['6-Apr-19', '56710', '59190'], ['30-Mar-19', '56772', '59579'], ['23-Mar-19', '57214', '60232'], ['16-Mar-19', '58033', '60696'], ['9-Mar-19', '58665', '61162'], ['2-Mar-19', '58080', '61687'], ['23-Feb-19', '58132', '62228'], ['16-Feb-19', '58116', '62626'], ['9-Feb-19', '58650', '63161'], ['2-Feb-19', '58276', '63293'], ['26-Jan-19', '58031', '64213'], ['19-Jan-19', '58362', '64199'], ['12-Jan-19', '58506', '64024'], ['5-Jan-19', '58461', '62599'], ['29-Dec-18', '56164', '61847'], ['22-Dec-18', '56688', '60870'], ['15-Dec-18', '56530', '59884'], ['8-Dec-18', '56095', '59055'], ['1-Dec-18', '55210', '58498'], ['24-Nov-18', '54998', '57839'], ['17-Nov-18', '54820', '57378'], ['10-Nov-18', '53692', '57110'], ['3-Nov-18', '53767', '56500'], ['27-Oct-18', '53881', '56298'], ['20-Oct-18', '53113', '56186'], ['13-Oct-18', '51983', '55697'], ['6-Oct-18', '52486', '55383'], ['29-Sep-18', '51105', '55284'], ['22-Sep-18', '51713', '54778'], ['15-Sep-18', '51215', '54626'], ['8-Sep-18', '50429', '54507'], ['1-Sep-18', '50757', '54099'], ['25-Aug-18', '50577', '54101'], ['18-Aug-18', '50423', '53775'], ['11-Aug-18', '51130', '53725'], ['4-Aug-18', '50799', '53971'], ['28-Jul-18', '50422', '53712'], ['21-Jul-18', '50741', '53803'], ['14-Jul-18', '51337', '53693'], ['7-Jul-18', '51812', '53866'], ['30-Jun-18', '51004', '54030'], ['23-Jun-18', '51221', '53971'], ['16-Jun-18', '51514', '53971'], ['9-Jun-18', '52123', '54131'], ['2-Jun-18', '51162', '54479'], ['26-May-18', '51055', '54895'], ['19-May-18', '50739', '55126'], ['12-May-18', '52216', '55439'], ['5-May-18', '53885', '55983'], ['28-Apr-18', '53849', '56642'], ['21-Apr-18', '54157', '57199'], ['14-Apr-18', '55354', '57589'], ['7-Apr-18', '55420', '58225'], ['31-Mar-18', '55045', '58799'], ['24-Mar-18', '55912', '59473'], ['17-Mar-18', '56462', '59955'], ['10-Mar-18', '57244', '60370'], ['3-Mar-18', '56829', '60775'], ['24-Feb-18', '57954', '61185'], ['17-Feb-18', '59931', '61454'], ['10-Feb-18', '61244', '61639'], ['3-Feb-18', '61124', '61858'], ['27-Jan-18', '62922', '62082'], ['20-Jan-18', '64820', '62436'], ['13-Jan-18', '67664', '61880'], ['6-Jan-18', '66339', '61267'], ['30-Dec-17', '61265', '60255'], ['23-Dec-17', '59671', '59435'], ['16-Dec-17', '57537', '58762'], ['9-Dec-17', '55746', '58372'], ['2-Dec-17', '54903', '57703'], ['25-Nov-17', '54225', '57217'], ['18-Nov-17', '53920', '56476'], ['11-Nov-17', '53384', '56032'], ['4-Nov-17', '53837', '55661'], ['28-Oct-17', '52672', '55388'], ['21-Oct-17', '52357', '55176'], ['14-Oct-17', '51703', '54937'], ['7-Oct-17', '52235', '54483'], ['30-Sep-17', '51467', '54055'], ['23-Sep-17', '51353', '53665'], ['16-Sep-17', '51820', '53313'], ['9-Sep-17', '51111', '53177'], ['2-Sep-17', '50960', '53066'], ['26-Aug-17', '49659', '52871'], ['19-Aug-17', '50303', '52717'], ['12-Aug-17', '50364', '52758'], ['5-Aug-17', '50210', '52817'], ['29-Jul-17', '49493', '52927'], ['22-Jul-17', '50241', '52882'], ['15-Jul-17', '50122', '52882'], ['8-Jul-17', '51091', '52972'], ['1-Jul-17', '50742', '53055'], ['24-Jun-17', '51326', '53092'], ['17-Jun-17', '50933', '53000'], ['10-Jun-17', '51525', '53141'], ['3-Jun-17', '51370', '53435'], ['27-May-17', '51100', '53852'], ['20-May-17', '52574', '54061'], ['13-May-17', '52082', '54369'], ['6-May-17', '52754', '54774'], ['29-Apr-17', '53404', '55639'], ['22-Apr-17', '53168', '56183'], ['15-Apr-17', '54976', '56530'], ['8-Apr-17', '55267', '56928'], ['1-Apr-17', '55829', '57433'], ['25-Mar-17', '57161', '58106'], ['18-Mar-17', '56789', '58479'], ['11-Mar-17', '57597', '58775'], ['4-Mar-17', '57359', '59150'], ['25-Feb-17', '58398', '59498'], ['18-Feb-17', '58591', '59946'], ['11-Feb-17', '59162', '60181'], ['4-Feb-17', '58537', '60387'], ['28-Jan-17', '58186', '60619'], ['21-Jan-17', '59444', '60801'], ['14-Jan-17', '61114', '60527']]
Will Black Friday be more popular in coming years ?
This statistic shows retailers ' perceptions of the future popularity of Black Friday in the United Kingdom and Ireland in 2014 . According to the survey , 51.7 percent of UK and Irish retailers expect Black Friday to become increasingly popular in upcoming years , despite the day being an American tradition .
[['Response', 'Share of respondents'], ['Yes, significantly more popular', '51.7%'], ['Yes, a bit more popular', '17.2%'], ['No', '25.8%'], ['Don’t know', '5.3%']]
IPOs with lowest return in the United States in 2019
The statistic shows the worst performing IPOs of 2019 in the United States , by rate of return from the company IPO until the end of 2019 . The stock price of Guardion Health Sciences , a company operating in the healthcare sector , sold publicly the first time on April 4 , 2019 , had fallen by 95.0 percent by the end of 2019 .
[['worst performing IPOs', 'Return since the company IPO date until the end of 2019'], ['Guardion Health Sciences (Apr 4)', '-95%'], ['Anchiano Therapeutics (Feb 12)', '-86.8%'], ['Greenlane Holdings (Apr 17)', '-83.8%'], ['Axcella Health (May 8)', '-83.1%'], ['Sundial Growers (Jul 31)', '-81.5%'], ['Super League Gaming (Feb 25)', '-78%'], ['Sonim Technologies (May 9)', '-72.2%'], ['Wanda Sports Group (Jul 26)', '-66.4%'], ['Trevi Therapeutics (May 7)', '-64.3%'], ['Kaleido Biosciences (Feb 27)', '-63.9%']]
Number of participants in rugby in the United States from 2006 to 2018 ( in millions )
This statistic shows the number of participants in rugby in the United States from 2006 to 2018 . In 2018 , the number of participants ( aged six years and older ) in rugby amounted to approximately 1.56 million .
[['Year', 'Number of participants in millions'], ['2018', '1.56'], ['2017', '1.62'], ['2016', '1.55'], ['2015', '1.35'], ['2014', '1.28'], ['2013', '1.18'], ['2012', '1.21'], ['2011', '0.57'], ['2010', '1.13'], ['2009', '0.75'], ['2008', '0.69'], ['2007', '0.62'], ['2006', '0.51']]
Charlotte Hornets all-time assists leaders from 1988 to 2020
The statistic shows Charlotte Hornets players with the most assists in franchise history . Muggsy Bogues is the career assists leader of the Charlotte Hornets with 5,557 assists .
[['leader', 'Assists'], ['Muggsy Bogues', '5557'], ['Kemba Walker', '3308'], ['Raymond Felton', '2573'], ['David Wesley', '1911'], ['Baron Davis', '1605'], ['Larry Johnson', '1553'], ['Nicolas Batum', '1521'], ['Brevin Knight', '1497'], ['Dell Curry', '1429'], ['D.J. Augustin', '1248']]
Market share of five leading general insurance companies based on gross written premiums value in selected lines of insurance business in the United Kingdom ( UK ) in 2013 and 2014
This statistic presents the market share of the five leading general insurance companies , calculated based on gross premiums written in the United Kingdom ( UK ) in years 2013 and 2014 , listed for various insurance business segments . Approximately 76 percent of the whole accident , health and medical insurance market ( as premiums ) was covered by the five leading companies in that insurance sector as of end of 2014 .
[[' Type of insurance business', '2014', '2013'], ['Private motor insurers', '52%', '56%'], ['Commercial motor insurers', '60.5%', '63%'], ['Domestic property insurers', '56.9%', '57.5%'], ['Commercial property insurers', '63.4%', '62.6%'], ['Accident, health and medical insurers', '77.6%', '75.9%'], ['Liability insurers', '55%', '52.9%'], ['Other insurers*', '43.1%', '45.7%']]
Number of high net worth individuals worldwide from 2010 to 2019 , by region ( in millions )
This statistic shows the number of high net worth individuals worldwide from 2010 to 2019 , by region . In 2019 , the Asia Pacific region had the highest number of millionaires , with 6.53 million .
[['Year', 'Asia-Pacific', 'North America', 'Europe', 'Middle East', 'Latin America', 'Africa'], ['2010', '3.31', '3.39', '3.13', '0.44', '0.48', '0.12'], ['2011', '3.37', '3.35', '3.17', '0.45', '0.5', '0.12'], ['2012', '3.68', '3.73', '3.41', '0.49', '0.52', '0.14'], ['2013', '4.32', '4.33', '3.83', '0.57', '0.54', '0.15'], ['2014', '4.69', '4.68', '3.99', '0.61', '0.53', '0.15'], ['2015', '5.13', '4.78', '4.18', '0.61', '0.52', '0.15'], ['2016', '5.51', '5.15', '4.5', '0.64', '0.56', '0.16'], ['2017', '6.18', '5.66', '4.83', '0.66', '0.6', '0.17'], ['2018', '6.07', '5.68', '4.8', '0.69', '0.61', '0.17'], ['2019', '6.53', '6.3', '5.22', '0.76', '0.62', '0.18']]
Leading internet applications in North America in March 2016 , by share of peak period downstream traffic
This statistic shows applications with the most traffic within peak internet traffic periods in North America from fixed-line connections , by share of downstream volume . As of March 2016 , Netflix accounted for over a third of peak period downstream traffic , more than double the amount of traffic of the second-largest source . The ten leading internet applications accounted for 74.33 percent of peak period downstream traffic .
[['Response', 'Percentage of peak period downstream traffic volume'], ['Netflix', '35.15%'], ['YouTube', '17.53%'], ['Amazon Video', '4.26%'], ['HTTP - OTHER', '4.19%'], ['iTunes', '2.91%'], ['Hulu', '2.68%'], ['SSL - Other', '2.53%'], ['Xbox One Games Download', '2.18%'], ['Facebook', '1.89%'], ['BitTorrent', '1.73%']]
Baltimore Orioles all-time games played leaders as of October 2020
This statistic shows the Baltimore Orioles all-time games played leaders as of October 2020 . Cal Ripken has played the most games in Baltimore Orioles franchise history with 3,001 games .
[['Player', 'Number of games played'], ['Cal Ripken Jr.', '3001'], ['Brooks Robinson', '2896'], ['Mark Belanger', '1962'], ['Eddie Murray', '1884'], ['Boog Powell', '1763'], ['Brady Anderson', '1759'], ['Paul Blair', '1700'], ['George Sisler', '1647'], ['Adam Jones', '1613'], ['Bobby Wallace', '1569']]
Total economical contribution of travel and tourism to GDP in Iran from 2012 to 2028 ( in trillion Iranian Rial )
This statistic describes the total economic contribution of tourism and travel to Iran from 2012 to 2017 , with an estimate for 2018 and a forecast for 2028 . According to forecasts , the total economic contribution of tourism and travel to the to the GDP of Iran in 2028 will be around 3.13 quadrillion Iranian Rial .
[['Year', 'Value in trillion Iranian Rial'], ['2028***', '3134.91'], ['2018**', '1138.8'], ['2017', '1018.31'], ['2016', '910.23'], ['2015', '794.75'], ['2014', '749.79'], ['2013', '586.1'], ['2012', '458.05']]
K-12 public school enrollment numbers in the United States from 2000 to 2017 , by ethnicity ( in 1,000s )
This statistic shows the number of students from different ethnic backgrounds that were enrolled in U.S. public elementary and secondary schools from 2000 to 2017 . In 2017 , there were about 13.57 million students of Hispanic background enrolled in public schools in the United States , up from about 12.1 million in 2012 .
[['Year', 'White', 'Black', 'Hispanic', 'Asian', 'American Indian/Alaskan Native'], ['2017*', '24124', '7709', '13571', '2640', '498'], ['2016**', '24413', '7765', '13329', '2571', '511'], ['2015*', '24644', '7784', '13080', '2521', '510'], ['2014', '24923', '7807', '12805', '2470', '519'], ['2013', '25160', '7805', '12452', '2417', '523'], ['2012', '25386', '7803', '12104', '2372', '534'], ['2011', '25602', '7827', '11759', '2334', '547'], ['2010', '25933', '7917', '11439', '2296', '566'], ['2009', '26702', '8245', '10991', '2435', '601'], ['2008', '27057', '8358', '10563', '2405', '589'], ['2007', '27454', '8392', '10454', '2396', '594'], ['2006', '27801', '8422', '10166', '2332', '595'], ['2005', '28005', '8445', '9787', '2279', '598'], ['2004', '28318', '8386', '9317', '2183', '591'], ['2003', '28442', '8349', '9011', '2145', '593'], ['2002', '28618', '8299', '8594', '2088', '583'], ['2001', '28735', '8177', '8169', '2028', '564'], ['2000', '28878', '8100', '7726', '1950', '550']]
Penetration of leading apps among smartphone users in Spain in 2014
This statistic presents the penetration of leading apps among smartphone users in Spain in 2014 . Whatsapp had achieved almost total penetration of smartphone users with the second most installed app , Skype , having reached around half of Spanish smartphone users .
[['Response', 'Share of smartphone users'], ['Whatsapp', '98.5%'], ['Skype', '51.6%'], ['Telegram', '36.1%'], ['Facebook Messenger', '34.4%'], ['Line', '31.7%'], ['Viber', '23.1%'], ['Snapchat', '11.9%'], ['Tango', '4.1%'], ['Kik', '1.9%']]
Electricity generation through independent power producers in the U.S. from 2005 to 2019 ( in million megawatt hours )
Electricity generation through independent power producers in the U.S. rose to its peak , at some 1.7 billion megawatt hours in 2019 . Between 2005 and 2019 , figures increased by roughly 275 million megawatt hours .
[['Year', 'Net generation in million megawatt hours'], ['2019', '1699.63'], ['2018', '1680.72'], ['2017', '1603.17'], ['2016', '1613.16'], ['2015', '1603.97'], ['2014', '1554.53'], ['2013', '1515.66'], ['2012', '1551.19'], ['2011', '1487.34'], ['2010', '1500.75'], ['2009', '1437.06'], ['2008', '1498.98'], ['2007', '1501.21'], ['2006', '1424.42'], ['2005', '1424.35']]
National health expenditure per capita in Spain in 2017 ( in U.S. dollars ) , by sector
This statistic depicts the national health expenditure per capita in Spain in 2017 , by sector . Public expenditure on healthcare per capita in 2017 amounted to almost 2,400 USD .
[['Sector', 'Health expenditure in U.S. dollars'], ['Public', '2386'], ['Private', '985'], ['Total', '3371']]
Most viewed YouTube video categories of male Millennial users in the United States as of April 2016
This statistic presents a ranking of the most popular YouTube video content categories of male Millennials in the United States . As of April 2016 , gaming content accounted for 51 percent of YouTube content views of that particular demographic group .
[['Response', 'Share of views'], ['Gaming', '51%'], ['Music', '15%'], ['Movies and TV', '12%'], ['Sports', '5%'], ['Technology', '4%'], ['Health and fitness', '3%'], ['Hobbies', '3%'], ['Education and reference', '2%'], ['Comedy', '2%'], ['Shopping', '1%'], ['Other', '2%']]
Estimated number of European Union nationals resident in the United Kingdom in 2019 , by member state ( in 1,000s )
In 2019 there were approximately 902 thousand Polish nationals living in the United Kingdom , the most of any European Union member state . Additionally , there were 457 thousand Romanians , and 322 thousand Irish living in the UK in 2019 . Luxembourg was the EU member state with the fewest citizens living in the UK , at just 520 . In terms of British nationals living in the EU , Spain was the most popular destination , at almost 285 thousand , followed by France and Germany , which had British populations numbering 145 and 110 thousand respectively .
[['Country', 'Population in thousands'], ['Poland', '902.0'], ['Romania', '457.0'], ['Ireland', '322.0'], ['Italy', '297.0'], ['Portugal', '234.0'], ['Lithuania', '211.0'], ['France', '192.0'], ['Spain', '184.0'], ['Germany', '149.0'], ['Bulgaria', '109.0'], ['Netherlands', '104.0'], ['Latvia', '99.0'], ['Hungary', '88.0'], ['Greece', '74.0'], ['Slovakia', '69.0'], ['Sweden', '58.0'], ['Czechia', '42.0'], ['Belgium', '28.0'], ['Denmark', '22.0'], ['Finland', '20.0'], ['Cyprus', '14.0'], ['Austria', '14.0'], ['Estonia', '13.0'], ['Croatia*', '8.57'], ['Malta*', '8.34'], ['Slovenia*', '5.26'], ['Luxembourg*', '0.52']]
Share of urban population living in slums in Thailand in 2005 , 2009 and 2014
This statistic shows the share of urban population living in slums Thailand in 2005 , 2009 and 2014 . In 2009 , the share of urban population living in slums in Thailand amounted to 27 percent .
[['Response', 'Share of urban population'], ['2014', '25%'], ['2009', '27%'], ['2005', '26%']]
Syria : Population growth from 2009 to 2019 ( compared to previous year )
This statistic shows the population growth in Syria from 2009 to 2019 . In 2019 , Syria 's population increased by approximately 0.96 percent compared to the previous year .
[['Year', 'Population growth compared to previous year'], ['2019', '0.96%'], ['2018', '-0.95%'], ['2017', '-2.24%'], ['2016', '-3.07%'], ['2015', '-3.91%'], ['2014', '-4.54%'], ['2013', '-4.29%'], ['2012', '-3.08%'], ['2011', '-1.32%'], ['2010', '0.74%'], ['2009', '2.59%']]
Dow Chemical 's revenue in the Agricultural Sciences segment from 2009 to 2016 ( in million U.S. dollars )
This statistic depicts the revenue of Dow Chemical 's Agricultural Sciences segment from 2009 to 2016 . In 2009 , Dow Chemical generated around 4.5 billion U.S. dollars of revenue in this segment . Until 2014 , this amount increased to around 7.3 billion U.S. dollars .
[['Year', 'Revenue in million U.S. dollars'], ['2016', '6174'], ['2015', '6381'], ['2014', '7290'], ['2013', '7137'], ['2012', '6382'], ['2011', '5655'], ['2010', '4869'], ['2009', '4522']]
Age distribution of customers at Debenhams in the United Kingdom ( UK ) as of fiscal year 2015
This statistic displays the age distribution of customers at Debenhams in the United Kingdom as of 2015 . According to their annual report , 20 percent of Debenhams customers are in the age group 45 - 54 . Debenhams is a British retailer selling clothing , furniture and other household items in a department store format . The brand owns and operates stores in the UK , Ireland and Denmark as well as franchises in other international locations .
[['Response', 'Share of respondents'], ['18-24', '12%'], ['25-34', '17%'], ['35-44', '19%'], ['45-54', '20%'], ['55-64', '14%'], ['65+', '18%']]
Laos : Fertility rate from 2008 to 2018
This statistic shows the fertility rate in Laos from 2008 to 2018 . The fertility rate is the average number of children born to one woman while being of child-bearing age . In 2018 , the fertility rate in Laos amounted to 2.67 children per woman .
[['Year', 'Number of children born per woman'], ['2018', '2.67'], ['2017', '2.71'], ['2016', '2.75'], ['2015', '2.8'], ['2014', '2.85'], ['2013', '2.91'], ['2012', '2.98'], ['2011', '3.06'], ['2010', '3.14'], ['2009', '3.23'], ['2008', '3.33']]
Level of interest in the National Basketball Association in the United States as of August 2020 , by age
The National Basketball Association is a professional basketball league for men with 30 teams competing against each other in the United States . The survey conducted in August 2020 showed that 65 percent of respondents aged 65 and older had no interest in the NBA .
[['Response', 'Avid fan', 'Casual fan', 'Not a fan at all'], ['18 - 34', '21%', '32%', '47%'], ['35 - 44', '24%', '30%', '47%'], ['45 - 64', '13%', '27%', '59%'], ['65+', '9%', '26%', '65%']]
Total assets of the British-headquartered Nationwide Building Society from 2014 to 2020 ( in billion GBP )
This statistic illustrates the total assets development of the United Kingdom ( UK ) based Nationwide Building Society in the financial years ending April 2014 to April 2020 . It can be seen that the total assets increased year on year , reaching a value of over 248 billion British pounds for the group and over 245.7 billion British pounds for society as of 2020 . The smallest value of assets for the group was found in 2014 , when group assets of close to 190 billion British pounds were recorded .
[['Year', 'Group', 'Society'], ['2014', '189.89', '188.86'], ['2015', '195.58', '194.82'], ['2016', '208.94', '207.62'], ['2017', '221.67', '220.01'], ['2018', '229.1', '227.3'], ['2019', '238.3', '236.04'], ['2020', '248.04', '245.73']]
Leading countries of origin for foreign-born residents of the United States in 2018
This statistic shows the leading countries of origin for foreign-born residents of the United States in 2018 . In that year , 24.98 percent of foreign-born residents in the United States were from Mexico .
[['Response', 'Share of foreign-born population'], ['Mexico', '24.98%'], ['China', '6.39%'], ['India', '5.89%'], ['Philippines', '4.49%'], ['El Salvador', '3.17%'], ['Cuba', '3%'], ['Vietnam', '2.96%'], ['Dominican Republic', '2.62%'], ['Korea', '2.36%'], ['Guatemala', '2.24%'], ['Canada', '1.83%'], ['Colombia', '1.77%'], ['Jamaica', '1.65%'], ['Haiti', '1.53%'], ['Honduras', '1.44%'], ['Germany', '1.24%'], ['Brazil', '1.06%'], ['Peru', '1.05%'], ['Ecuador', '0.98%'], ['Poland', '0.89%'], ['Venezuela', '0.89%'], ['Iran', '0.85%'], ['Pakistan', '0.85%'], ['Nigeria', '0.84%'], ['Russia', '0.83%'], ['Japan', '0.8%'], ['United Kingdom, other', '0.76%'], ['Ukraine', '0.73%'], ['Italy', '0.72%'], ['England', '0.66%']]
Central vacuums used the most by construction firms in the United States in 2018
This statistic depicts central vacuums brands used the most by U.S. construction firms in 2018 . The survey revealed that 30.9 percent of the respondents used NuTone brand central vacuums the most .
[['Brand', 'Share of respondents'], ['NuTone', '30.9%'], ['Beam Central Vaccum System by Electrolux', '29.4%'], ['H-P Products VACUFLO', '7.4%'], ['Eureka', '6.6%'], ['Hoover', '2.9%'], ['Linear', '1.5%'], ['None of these', '21.3%']]
Dollar sales share of salty snacks in U.S. convenience stores in 2015 , by type
This statistic shows the dollar sales share of salty snacks in U.S. convenience stores in 2015 . According to the report , potato chips accounted for approximately 24.5 percent of total U.S. in-store convenience store sales of salty snacks that year , generating approximately 1.42 billion U.S. dollars .
[['snacks type', 'Dollar sales share'], ['Potato chips', '24.5%'], ['Tortilla/corn chips', '17.3%'], ['Nuts/seeds', '14.8%'], ['Puffed cheese', '8.7%'], ['Crackers', '5.4%'], ['Mixed', '4.6%'], ['Pretzels', '4%'], ['Popcorn (ready-to-eat)', '4%'], ['Other salty snacks', '16.7%']]
Charlotte Hornets player expenses ( payroll ) from 2004/05 to 2018/19 ( in million U.S. dollars )
The statistic depicts the player expenses of the Charlotte Hornets , franchise of the National Basketball Association , from 2004 to 2019 . In the 2018/19 season , the player salaries of the Charlotte Hornets were at 127 million U.S. dollars .
[['Year', 'Player expenses in million U.S. dollars'], ['18/19', '127'], ['17/18', '127'], ['16/17', '115'], ['15/16', '88'], ['14/15', '82'], ['13/14', '79'], ['12/13', '64'], ['11/12', '52'], ['10/11', '70'], ['09/10', '73'], ['08/09', '69'], ['07/08', '59'], ['06/07', '46'], ['05/06', '37'], ['04/05', '28']]
Walmart International 's net sales from fiscal year 2019 to 2020 , by country ( in million U.S. dollars )
In 2020 , Walmart International had sales of 29.24 billion U.S. dollars in the United Kingdom . Walmart International had total net sales of 120 billion U.S. dollars that year .
[['Year', 'Mexico and Central America', 'United Kingdom', 'Canada', 'China', 'Other'], ['2020', '33350', '29243', '18420', '10671', '28446'], ['2019', '31790', '30547', '18613', '10702', '29172']]
Number of hostages taken by terrorists in 2010 by region
The statistic shows the number of hostages taken by terrorists in 2010 by region . 2.651 people were taken hostage by terrorists in Africa .
[['Country', 'Number of hostages taken'], ['Africa', '2651'], ['South Asia', '1748'], ['Near East', '1206'], ['East Asia and Pacific', '246'], ['Western Hemisphere', '190'], ['Europe and Eurasia', '9']]
Cleveland Indians franchise value from 2002 to 2020 ( in million U.S. dollars )
This graph depicts the value of the Cleveland Indians franchise of Major League Baseball from 2002 to 2020 . In 2020 , the franchise had an estimated value of 1.15 billion U.S. dollars . The Cleveland Indians are owned by Lawrence Dolan , who bought the franchise for 323 million U.S. dollars in 2000 .
[['Year', 'Franchise value in million U.S. dollars'], ['2020', '1150'], ['2019', '1200'], ['2018', '1045'], ['2017', '920'], ['2016', '800'], ['2015', '825'], ['2014', '570'], ['2013', '559'], ['2012', '410'], ['2011', '353'], ['2010', '391'], ['2009', '399'], ['2008', '417'], ['2007', '364'], ['2006', '352'], ['2005', '319'], ['2004', '292'], ['2003', '331'], ['2002', '360']]
Sales revenue generated by Boliviana de Aviación ( BoA ) in 2015 and 2016 ( in billion bolivianos )
This statistic displays the sales revenue generated by Boliviana de Aviacion ( BoA ) in 2015 and 2016 . In 2016 , the Bolivian company generated nearly 1.81 billion bolivianos in revenue , up from 1.56 billion a year earlier .
[['Year', 'Revenue in billion bolivianos'], ['2016', '1.81'], ['2015', '1.56']]
Number of active physicians in Missouri in 2020 , by specialty area
This statistic depicts the number of active physicians in Missouri as of March 2020 , ordered by specialty area . At that time , there were 1,137 anesthesiologists active in Missouri . In all there were over 11,100 active physicians in Missouri .
[['Specialty area', 'Number of physicians'], ['Psychiatry', '1063'], ['Surgery', '1125'], ['Anesthesiologists', '1137'], ['Emergency medicine', '1142'], ['Radiology', '1130'], ['Cardiology', '693'], ['Oncology (cancer)', '434'], ['Endocrinology, diabetes, & metabolism', '188'], ['All other specialities', '4212'], ['Total specialty', '11124']]
Peak number of power outages caused by blizzard across Northeastern United States as of February 10 , 2013 , by state
This statistic represents the peak number of customer outages from a severe blizzard that is affecting the Northeastern United States . As of February 10 , 2013 , more than 400,000 customers were affected by power outages in Massachusetts .
[['State', 'Number of customer outages'], ['Massachusetts', '402814'], ['Rhode Island', '185908'], ['Connecticut', '38052'], ['New York', '13973']]
Noble Energy 's revenue from 2007 to 2019 ( in million U.S. dollars )
This statistic shows Noble Energy 's revenue between 2007 and 2019 . Noble Energy , Inc. is an oil and natural gas exploration and production company . In 2019 , the company brought in around 4.4 billion U.S. dollars of revenue .
[['Year', 'Revenue in million U.S. dollars'], ['2019', '4438'], ['2018', '4986'], ['2017', '4256'], ['2016', '3491'], ['2015', '3183'], ['2014', '5115'], ['2013', '5015'], ['2012', '4223'], ['2011', '3404'], ['2010', '2713'], ['2009', '2160'], ['2008', '3491'], ['2007', '3272']]
National Football League ( NFL ) television ratings and viewership figures in the United States in the 2017/2018 season , by game ( in millions )
The statistic shows figures on the television ratings and viewership figures for NFL games in the United States in the 2017/18 season . The week one game between the Kansas City Chiefs and the New England Patriots was watched by almost 21.8 million viewers , and had a household rating of 12.6 . The viewership figures and ratings for the 2016/17 season can be found here .
[['Game (network) (week)', 'Rating', 'Viewers (in millions)'], ['Giants vs. Cowboys (NBC) (week 1)', '13.4', '24.37'], ['Seahawks vs. Packers (FOX) (week 1)', '12.7', '22.8'], ['Chiefs vs. Patriots (NBC) (week 1)', '12.6', '21.79'], ['Various (CBS) (week 1)', '7.6', '13.34'], ['Saints vs. Vikings (ESPN) (week 1)', '6.8', '11.39'], ['Eagles vs. Washington Football Team (FOX) (week 1)', '6.6', '11.34'], ['Chargers vs. Broncos (ESPN) (week 1)', '6', '9.94'], ['Cowboys vs. Broncos (FOX) (week 2)', '14.3', '25.97'], ['Packers vs. Falcons (NBC) (week 2)', '11.3', '20.24'], ['Various (CBS) (week 2)', '8.4', '14.52'], ['Eagles vs. Chiefs (FOX) (week 2)', '7.9', '13.21'], ['Lions vs. Giants (ESPN) (week 2)', '7.4', '12.29'], ['Texans vs. Bengals (NFLN) (week 2)', '4.9', '8.08'], ['Bengals vs. Packers (CBS) (week 3)', '12.2', '21.27'], ['Raiders vs. Washington Football Team (NBC) (week 3)', '10.1', '17.48'], ['Giants vs. Eagles (FOX) (week 3)', '9.2', '15.43'], ['Various (CBS) (week 3)', '8.4', '14.41'], ['Cowboys vs. Cardinals (ESPN) (week 3)', '8.2', '13.69'], ['Rams vs. 49ers (NFLN) (week 3)', '4.4', '7.45'], ['Rams vs. Cowboys (FOX) (week 4)', '11.5', '20.06'], ['Colts vs. Seahawks (NBC) (week 4)', '9.55', '16.73'], ['Raiders vs. Broncos (CBS) (week 4)', '9.1', '15.59'], ['Bears vs. Packers (CBS, NFLN, Amazon) (week 4)', '8.9', '14.61'], ['Various (CBS) (week 4)', '7', '11.7'], ['Saints vs. Dolphins (NBC) (week 4)*', '4', '6.4'], ['Packers vs. Cowboys (FOX) (week 5)', '13.6', '23.96'], ['Chiefs vs. Texans (NBC) (week 5)', '9.5', '16.53'], ['Patriots vs. Buccaneers (CBS, NFLN, Amazon) (week 5)', '9.4', '15.43'], ['Various (CBS) (week 5)', '7.8', '13.18'], ['Panthers vs. Lions (FOX) (week 5)', '7.5', '12.33'], ['Vikings vs. Bears (ESPN) (week 5)', '6.1', '10.28'], ['Steelers vs. Chiefs (CBS) (week 6)', '12', '20.59'], ['Packers vs. Vikings (FOX) (week 6)', '9.4', '16.2'], ['Giants vs. Broncos (NBC) (week 6)', '9.4', '16.16'], ['Eagles vs. Cardinals (CBS, NFLN, Amazon) (week 6)', '8.9', '14.59'], ['Various (CBS) (week 6)', '6.6', '10.94'], ['Colts vs. Titans (ESPN) (week 6)', '5.2', '8.38'], ['Bengals vs. Steelers (CBD) (week 7)', '11.3', '19.85'], ['Falcons vs. Patriots (NBC) (week 7)', '11', '19.24'], ['Cowboys vs. 49ers (FOX) (week 7)', '9.5', '16.12'], ['Chiefs vs. Raiders (CBS, NFLN, Amazon) (week 7)', '8.6', '14.38'], ['Various (CBS) (week 7)', '8.2', '13.36'], ['Washington Football Team vs. Eagles (ESPN) (week 7)', '6.9', '11.28'], ['Cowboys vs. Washington Football Team (FOX) (week 8)', '12.7', '22.02'], ['Chargers vs. Patriots (CBS) (week 8)**', '8.9', '15.16'], ['Steelers vs. Lions (NBC) (week 8)', '8', '13.86'], ['Bears vs. Saints (FOX) (week 8)', '7.3', '12.44'], ['Dolphins vs. Ravens (CBS, NFLN, Amazon) (week 8)', '7', '11.36'], ['Broncos vs. Chiefs (ESPN) (week 8)', '6.3', '10.42'], ['Vikings vs. Browns (NFLN) (week 8)*', '2.1', '3.45'], ['Chiefs vs. Cowboys (CBS) (week 9)', '12.5', '21.68'], ['Raiders vs. Dolphins (NBC) (week 9)', '8.55', '14.36'], ['Falcons vs. Panthers (FOX) (week 9)', '8.4', '14.21'], ['Various (CBS) (week 9)', '7.15', '11.95'], ['Lions vs. Packers (ESPN) (week 9)', '6.8', '11.08'], ['Bills vs. Jets (NFLN) (week 9)', '3.6', '5.84'], ['Cowboys vs. Falcons (FOX) (week 10)', '12.8', '21.96'], ['Patriots vs. Broncoes (NBC) (week 10)', '10.2', '17.51'], ['Seahawks vs. Cardinals (NBC, NFLN, Amazon) (week 10)', '7.9', '13.1'], ['Vikings vs. Washington Football Team (FOX) (week 10)', '7.4', '12.35'], ['Various (CBS) (week 10)', '7.2', '11.83'], ['Dolphins vs. Panthers (ESPN) (week 10)', '5.4', '8.76'], ['Cowboys vs. Eagles (NBC) (week 11)', '11.9', '21.06'], ['Patriots vs. Raiders (CBS) (week 11)', '10.9', '19.03'], ['Washington Football Team vs. Saints (FOX) (week 11)', '9.4', '15.71'], ['Titans vs. Steelers (NBC, NFLN, Amazon) (week 11)', '8.2', '13.51'], ['Falcons vs. Seahawks (ESPN) (week 11)', '6.4', '10.76'], ['Chiefs vs. Giants (CBS) (week 11)', '6.5', '10.71'], ['Chargers vs. Cowboys (CBS) (week 12)', '11.1', '26.3'], ['Vikings vs. Lions (FOX) (week 12)', '11.4', '24.74'], ['Saints vs. Rams (CBS) (week 12)', '11.6', '19.9'], ['Packers vs. Steelers (NBC) (week 12)', '11', '18.95'], ['Giants vs. Washington Football Team (NBC) (week 12)', '-', '16.91'], ['Bears vs. Eagles (FOX) (week 12)', '8.9', '15.36'], ['Various (CBS) (week 12)', '6.5', '10.91'], ['Texans vs. Ravens (ESPN) (week 12)', '5.1', '8.27'], ['Panthers vs. Saints (FOX) (week 13)', '12', '20.22'], ['Eagles vs. Seahawks (NBC) (week 13)', '11.3', '19.69'], ['Washington Football Team vs. Cowboys (NBC, NFLN, Amazon) (week 13)', '9.4', '15.6'], ['Various (CBS) (week 13)', '9.1', '15.13'], ['Vikings vs. Falcons (FOX) (week 13)', '6.8', '11.17'], ['Steelers vs. Bengals (ESPN) (week 13)', '6.7', '10.84'], ['Eagles vs. Rams (FOX) (week 14)', '13.7', '23.78'], ['Ravens vs. Steelers (NBC) (week 14)', '10.1', '17.2'], ['Cowboys vs. Giants (FOX) (week 14)', '9.1', '15.54'], ['Saints vs. Falcons (NBC, NFLN, Amazon) (week 14)', '8.9', '14.61'], ['Various (CBS) (week 14)', '8.15', '13.89'], ['Patriots vs. Dolphins (ESPN) (week 14)', '7.2', '11.78'], ['Patriots vs. Steelers (CBS) (week 15)', '15.2', '26.88'], ['Cowboys vs. Raiders (NBC) (week 15)', '11.1', '19.19'], ['Packers vs. Panthers (FOX) (week 15)', '10.6', '18.05'], ['Broncos vs. Colts (NBC, NFLN, Amazon) (week 15)', '6.5', '10.64'], ['Various (CBS) (week 15)', '6', '9.91'], ['Falcons vs. Buccaneers (ESPN) (week 15)', '5.7', '9.41'], ['Chargers vs. Chiegs (NFLN) (week 15)', '4', '6.99'], ['Bears vs. Lions (NFLN) (week 15)', '3.1', '5.18'], ['Seahawks vs. Cowboys (FOX) (week 16)', '12.2', '23.03'], ['Steelers vs. Texans (NBC, NFLN, Amazon) (week 16)', '8', '16.92'], ['Patriots vs. Bills (CBS) (week 16)', '8.9', '15.81'], ['Vikings vs. Packers (NBC) (week 16)', '8.4', '15.29'], ['Falcons vs. Saints (FOX) (week 16)', '6.9', '12.41'], ['Raiders vs. Eagles (ESPN) (week 16)', '5.9', '11.74'], ['Colts vs. Ravens (NFLN) (week 16)', '3.1', '5.4'], ['Panthers vs. Falcons (FOX) (week 17)', '11.45', '20.78'], ['Bengals vs. Ravens (CBS) (week 17)', '8.7', '15.6'], ['Bears vs. Vikings (FOX) (week 17)', '7.9', '13.59'], ['Various (CBS) (week 17)', '6.6', '11.21'], ['Panthers vs. Saints (FOX) (Wild Card)', '17.5', '31.15'], ['Bills vs. Jaguars (CBS) (Wild Card)', '15.15', '25.3'], ['Falcons vs. Rams (NBC) (Wild Card)', '12.8', '22.82'], ['Titans vs. Chiefs (ESPN, ABC) (Wild Card)', '13', '22.18'], ['Saints vs. Vikings (FOX) (Divisional Round)', '19.3', '35.65'], ['Jaguars vs. Steelers (CBS) (Divisional Round)', '18.3', '31.45'], ['Falcons vs. Eagles (NBC) (Divisional Round)', '15.5', '27.07'], ['Titans vs. Patriots (CBS) (Divisional Round)', '14.5', '26.69'], ['Jaguars vs. Patriots (CBS) (Conference Championship)', '24.3', '44.08'], ['Vikings vs. Eagles (FOX) (Conference Championship)', '21.7', '42.3'], ['Eagles vs. Patriots (NBC) (Super Bowl)', '43.1', '103.4']]
Ranking of the leading 20 mobile internet platforms by number of visits in Germany in September 2019 ( in millions )
This statistic shows the leading mobile internet platforms in Germany ranked by reach in September 2019 . In the period of consideration , ebay Kleinanzeigen had about 423.43 million mobile visits .
[['mobile internet platforms', 'Mobile visits in millions'], ['ebay Kleinanzeigen', '423.43'], ['twitch.tv', '366.2'], ['WetterOnline', '306.2'], ['Bild.de mobil', '273.21'], ['kicker.de', '141.36'], ['upday', '133.11'], ['Wetter.com App', '120.47'], ['SPIEGEL ONLINE Mobil', '110.54'], ['Telekom Mail App', '104.91'], ['FOCUS Online mobil', '94.77'], ['T-Online MEW', '92.51'], ['WELT Mobil', '86.09'], ['n-tv', '73.75'], ['FUNKE MEDIEN NRW mobil', '71.82'], ['SPIEGEL ONLINE', '69.43'], ['ebay Kleinanzeigen mobil', '64.48'], ['Merkur.de mobile', '62.29'], ['mobile.de', '50.59'], ['AUTOSCOUT24', '49.74'], ['tz Online mobile', '49.08']]
Number of deaths in Spain from 2006 to 2018
According to data provided by the Spanish Statistics Institute , more people died in Spain than were being born in 2018 , with figures reaching over 427 thousand deaths versus 370 thousand newborns . The number of deaths experienced an upward trend over the 11-year period , presumably due to Spain 's aging population .
[['Year', 'Number of deaths'], ['2018', '427721'], ['2017', '424523'], ['2016', '410611'], ['2015', '422568'], ['2014', '395830'], ['2013', '390419'], ['2012', '402950'], ['2011', '387911'], ['2010', '382047'], ['2009', '384933'], ['2008', '386324'], ['2007', '385361'], ['2006', '371478']]
Ranking of CEO-to-worker compensation ratio of top publicly owned companies in the United States in 2012
This statistic shows the CEO-to-worker compensation ratio for 50 top publicly owned companies , according to the Standard & Poor 's 500 Index in the United States in 2012 . In 2012 , JC Penney Co. was topping the ranking with a CEO-to-worker pay ratio of 1,795 , indicating that for every U.S. dollar a normal worker receives , the company 's CEO received about 1,795 U.S. dollars . The ranking of the largest 100 companies globally by revenue can be accessed here .
[['Company name', 'CEO-to-worker compensation ratio'], ['JC Penney Co.', '1795'], ['Abercrombie & Fitch Co.', '1640'], ['Simon Property Group Inc.', '1594'], ['Oracle Corp.', '1287'], ['Starbucks Corp.', '1135'], ['CBS Corp.', '1111'], ['Ralph Lauren Corp.', '1083'], ['NIKE Inc.', '1050'], ['Discovery Communications Inc.', '833'], ['Yum! Brands Inc.', '819'], ['Chipotle Mexican Grill Inc.', '778'], ['McKesson Corp.', '733'], ['Target Corp.', '664'], ['L Brands Inc.', '656'], ['eBay Inc.', '656'], ['Honeywell International Inc.', '633'], ['Walt Disney Co.', '613'], ['Wal-Mart Stores Inc.', '611'], ['3M Co.', '604'], ["Macy's Inc.", '595'], ['American Express Co.', '590'], ['Coca-Cola Co.', '580'], ['Pall Corp.', '578'], ['Mondelez International Inc.', '565'], ['Exxon Mobil Corp.', '524'], ['Tyco International Ltd.', '522'], ['Viacom Inc.', '510'], ['Altera Corp.', '506'], ['Wynn Resorts Ltd.', '499'], ['General Electric Co.', '491'], ['Medtronic Inc.', '485'], ['Freeport-McMoRan Copper & Gold Inc.', '479'], ['Wells Fargo & Co.', '473'], ['Capital One Financial Corp.', '468'], ['News Corp.', '457'], ['Comcast Corp.', '428'], ['Ross Stores Inc.', '426'], ['VF Corp.', '423'], ['Coach Inc.', '419'], ['ConocoPhillips', '416'], ['Time Warner Inc.', '412'], ['Johnson Controls Inc.', '409'], ['Philip Morris International Inc.', '407'], ['Goodyear Tire & Rubber Co.', '407'], ['Occidental Petroleum Corp.', '406'], ['HJ Heinz Co.', '405'], ['Pfizer Inc.', '394'], ['Eaton Corp. PLC', '394'], ['LyondellBasell Industries NV', '392'], ['Ford Motor Co.', '390']]
College graduation rate , by acceptance rate of four-year degree-granting institutions in the United States 2013
This statistic shows the graduation rate of students , who was admitted in 2007 , attending four-year degree-granting institutions as distinguished by the acceptance rate of the respective institution . In colleges that had open admission , the graduation rate stood at 34 percent of all students who were enrolled in 2007 .
[['acceptance rate', 'Graduation rate'], ['Open Admissions (No Application Criteria)', '34%'], ['90% or More Accepted', '48%'], ['75% to 89.9% Accepted', '55%'], ['50% to 74.9% Accepted', '62%'], ['25% to 49.9% Accepted', '69%'], ['Less than 25% Accepted', '88%']]
Share of adults who believe fake news is a major problem in the United States as of March 2019 , by political affiliation
The statistic shows the share of adults who believe fake news is a major problem in the United States as of March 2019 , sorted by political affiliation . During the survey , 40 percent of Democrats or Democrat-leaning Independents stated that they believed fake news is a major problem in the United States , whereas 62 percent of Republicans said the same .
[['Response', 'Share of respondents'], ['Republican/Republican-leaning Independent', '62%'], ['Democrat/Democrat-leaning Independent', '40%']]
What is the value that you consider the most important in your life ?
This statistic shows the results of a global survey among 14,030 people regarding their most important values in their private and professional life in 2009 . 50.61 percent stated that the most important value for them was honesty , integrity and transparency .
[['Response', 'Share of respondents'], ['Honesty, integrity and transparency', '50.61%'], ["Respecting others' rights, dignity, views", '25.91%'], ['Preserving the environment', '6.79%'], ['The impact of actions on the well-being ofothers', '16.69%']]
Population in Italy as of January 2020 , by gender
As of January 2020 , 60.2 million people lived in Italy . More specifically , about 29 million individuals were males and 31 million people were females . The most populated area of the country was the North-West , where roughly 16 million people lived . Furthermore , the Southern regions of Italy counted 13.9 million inhabitants , representing the second most populous area of the country .
[['Sex', 'Number of individuals'], ['Female', '30904074'], ['Male', '29340565']]
Number of electoral votes from Nevada designated to each party 's candidate in U.S. presidential elections from 1864 to 2020
Nevada has participated in forty U.S. presidential elections since 1864 , voting for the winning candidate on 32 occasions , which gives a success rate of 80 percent ; in 2016 , Nevada ultimately sided with the losing candidate , Hillary Clinton , after voting for the overall winner in the previous nine elections . Since 1864 , Nevada has allocated all of its electoral votes to the Democratic Party 's nominee on 19 occasions , and the Republican Party 's nominee twenty times . The only time where Nevada did not vote for a major party nominee was in 1892 , when it voted for the People 's Party candidate , James B. Weaver ( although one elector did could not vote in the 1864 election , as they were snowbound ) . In the 2020 election , the Democratic nominee , Joe Biden , won Nevada 's popular vote by a margin of just 2.4 percent . As of the 2020 election , no president or major party candidate has ever been from the Silver State . Nevada 's allocation of electoral votes remained at just three for most of its history , however it has doubled to six since the 1980s , as the state 's population has grown exponentially in the past half century . This population growth has been attributed to a large wave if internal migration in the U.S. , particularly from the neighboring state of California .
[['Year and candidate', 'Democratic', 'Republican', 'Did not vote', "People's Party"], ['2020: Joe Biden*/**', '6', '-', '-', '-'], ['2016: Hillary Clinton', '6', '-', '-', '-'], ['2012: Barack Obama*', '6', '-', '-', '-'], ['2008: Barack Obama*', '5', '-', '-', '-'], ['2004: George W. Bush*', '-', '5', '-', '-'], ['2000: George W. Bush*', '-', '4', '-', '-'], ['1996: Bill Clinton*', '4', '-', '-', '-'], ['1992: Bill Clinton*', '4', '-', '-', '-'], ['1988: George H. W. Bush*', '-', '4', '-', '-'], ['1984: Ronald Reagan*', '-', '4', '-', '-'], ['1980: Ronald Reagan*', '-', '3', '-', '-'], ['1976: Gerald R. Ford', '-', '3', '-', '-'], ['1972: Richard Nixon*', '-', '3', '-', '-'], ['1968: Richard Nixon*', '-', '3', '-', '-'], ['1964: Lyndon B. Johnson*', '3', '-', '-', '-'], ['1960: John F. Kennedy*', '3', '-', '-', '-'], ['1956: Dwight D. Eisenhower*', '-', '3', '-', '-'], ['1952: Dwight D. Eisenhower*', '-', '3', '-', '-'], ['1948: Harry S. Truman*', '3', '-', '-', '-'], ['1944: Franklin D. Roosevelt*', '3', '-', '-', '-'], ['1940: Franklin D. Roosevelt*', '3', '-', '-', '-'], ['1936: Franklin D. Roosevelt*', '3', '-', '-', '-'], ['1932: Franklin D. Roosevelt*', '3', '-', '-', '-'], ['1928: Herbert Hoover*', '-', '3', '-', '-'], ['1924: Calvin Coolidge*', '-', '3', '-', '-'], ['1920: Warren G. Harding*', '-', '3', '-', '-'], ['1916: Woodrow Wilson*', '3', '-', '-', '-'], ['1912: Woodrow Wilson*', '3', '-', '-', '-'], ['1908: William Jennings Bryan', '3', '-', '-', '-'], ['1904: Theodore Roosevelt*', '-', '3', '-', '-'], ['1900: William Jennings Bryan', '3', '-', '-', '-'], ['1896: William Jennings Bryan', '3', '-', '-', '-'], ['1892: James B. Weaver', '-', '-', '-', '3'], ['1888: Benjamin Harrison*', '-', '3', '-', '-'], ['1884: James G. Blaine', '-', '3', '-', '-'], ['1880: Winfield Hancock', '3', '-', '-', '-'], ['1876: Rutherford B. Hayes*', '-', '3', '-', '-'], ['1872: Ulysses S. Grant*', '-', '3', '-', '-'], ['1868: Ulysses S. Grant*', '-', '3', '-', '-'], ['1864: Abraham Lincoln*', '-', '2', '1', '-']]
Number of coronavirus ( COVID-19 ) recoveries in Romania as of January 8 , 2021 ( in 1,000s )
The first Romanian people who recovered from coronavirus ( COVID-19 ) in Romania were reported on March 13 . The number of cured people from COVID-19 grew slowly but steady , totaling 595,007 recoveries by January 8 , 2021 . For further information about the coronavirus ( COVID-19 ) pandemic , please visit our dedicated Facts and Figures page .
[['Year', 'Number of people in thousands'], ['1/8/2021', '595.01'], ['1/7/2021', '591.6'], ['1/6/2021', '586.76'], ['1/5/2021', '581.86'], ['1/4/2021', '577.2'], ['1/3/2021', '574.9'], ['1/2/2021', '571.33'], ['1/1/2021', '566.37'], ['12/29/2020', '549.26'], ['12/26/2020', '536.33'], ['12/23/2020', '516.42'], ['12/21/2020', '501.9'], ['12/18/2020', '484.95'], ['12/15/2020', '465.05'], ['12/12/2020', '451.48'], ['12/9/2020', '425.82'], ['12/6/2020', '405.61'], ['12/3/2020', '381.0'], ['11/30/2020', '353.19'], ['11/27/2020', '326.66'], ['11/24/2020', '304.19'], ['11/21/2020', '287.31'], ['11/18/2020', '261.39'], ['11/15/2020', '243.83'], ['11/12/2020', '224.92'], ['11/9/2020', '206.79'], ['11/6/2020', '195.97'], ['11/3/2020', '181.18'], ['10/31/2020', '172.51'], ['10/28/2020', '159.85'], ['10/25/2020', '149.74'], ['10/22/2020', '141.09'], ['10/19/2020', '132.08'], ['10/16/2020', '127.08'], ['10/13/2020', '120.52'], ['10/10/2020', '116.63'], ['10/8/2020', '113.11'], ['10/6/2020', '109.9'], ['10/4/2020', '108.14'], ['10/2/2020', '105.58'], ['9/30/2020', '102.48'], ['9/28/2020', '99.34'], ['9/26/2020', '97.55'], ['9/24/2020', '94.88'], ['9/22/2020', '92.17'], ['9/20/2020', '89.77'], ['9/18/2020', '88.24'], ['9/14/2020', '43.24'], ['9/11/2020', '41.01'], ['9/8/2020', '40.45'], ['9/5/2020', '39.63'], ['9/1/2020', '37.87'], ['8/28/2020', '36.68'], ['8/24/2020', '35.29'], ['8/20/2020', '33.57'], ['8/16/2020', '32.33'], ['8/12/2020', '30.59'], ['8/8/2020', '29.29'], ['8/4/2020', '27.75'], ['7/31/2020', '26.61'], ['7/27/2020', '25.64'], ['7/23/2020', '24.66'], ['7/19/2020', '22.49'], ['7/15/2020', '21.8'], ['7/11/2020', '21.13'], ['7/7/2020', '20.21'], ['7/3/2020', '19.36'], ['6/29/2020', '18.81'], ['6/25/2020', '17.39'], ['6/21/2020', '16.74'], ['6/17/2020', '16.07'], ['6/5/2020', '13.92']]
Share of social media posts made by Obama in the lead up to the U.S. presidential election as of June 2012 , by focus of post
This graph shows the share of social media posts made by U.S. President Obama in June 2012 in the run up to the 2012 presidential election . The posts are divided by focus or theme . Over the course of the survey period , it was discovered that approximately 50 percent of Obama 's posts were related to domestic policy issues , while none related to foreign policy issues .
[['Response', 'Percentage of digital posts'], ['Domestic policy', '50%'], ['Fundraising/volunteering', '20%'], ['Campaign Activities', '16%'], ['Public record', '6%'], ['Voters/voting', '4%'], ['Personal topics', '3%'], ['Other', '1%'], ['Foreign policy', '0%']]
Crude birth rate in Russia from 1840 to 2020
In Russia , the crude birth rate in 1840 was just over 48 live births per thousand people , meaning that approximately 4.8 percent of the population had been born in that year . Throughout the nineteenth century , Russia 's crude birth rate remained between 48 and 52 , and fell to 43.4 in the late 1920s . From 1930 to 1945 , the Soviet Union 's crude birth rate dropped greatly , from 43.4 to 18.2 , as a result of the Second World War ( although it did increase in the late 1930s , in the early stages of the war ) . Russia did experience a baby boom after the war , and the birth rate did not fall to its pre-war level gain until the late 1960s . From 1970 , the birth rate increased slightly to 16.2 in 1990 , before the end of communism and dissolution of the Soviet Union caused the crude birth rate to fall to its lowest recorded level over the next decade , to 8.9 in 2000 . Since the turn of the millennium , the crude birth rate of Russia has increased steadily , and was expected to be 12.8 in 2020 .
[['Year', 'Crude birth rate'], ['2020', '12.8'], ['2015', '13.0'], ['2010', '11.4'], ['2005', '9.8'], ['2000', '8.9'], ['1995', '10.9'], ['1990', '16.2'], ['1985', '16.7'], ['1980', '15.8'], ['1975', '15.4'], ['1970', '15.0'], ['1965', '21.1'], ['1960', '25.7'], ['1955', '26.9'], ['1950', '26.23'], ['1945', '18.2'], ['1940', '36.62'], ['1935', '29.78'], ['1930', '43.36'], ['1925', '44.63'], ['1920', '45.57'], ['1915', '46.56'], ['1910', '48.86'], ['1905', '51.38'], ['1900', '52.1'], ['1895', '51.12'], ['1890', '48.18'], ['1885', '49.0'], ['1880', '49.14'], ['1875', '50.76'], ['1870', '49.0'], ['1865', '49.9'], ['1860', '50.04'], ['1855', '50.54'], ['1850', '50.63'], ['1845', '49.43'], ['1840', '48.14']]
Median annual earnings for full-time employees in the United Kingdom from 1999 to 2020 ( in GBP )
The median annual earnings for full-time employees in the United Kingdom was approximately 31.46 thousand British pounds in 2020 . Compared with 1999 , when the median full-time earnings amounted to 17.8 thousand pounds , there has been a net increase of 13.66 thousand pounds .
[['Year', 'Average earnings in GBP'], ['2020', '31461'], ['2019', '30378'], ['2018', '29559'], ['2017', '28759'], ['2016', '28195'], ['2015', '27615'], ['2014', '27215'], ['2013', '27011'], ['2012', '26472'], ['2011', '26095'], ['2010', '25882'], ['2009', '25806'], ['2008', '25165'], ['2007', '24043'], ['2006', '23367'], ['2005', '22888'], ['2004', '22056'], ['2003', '21124'], ['2002', '20376'], ['2001', '19722'], ['2000', '18848'], ['1999', '17803']]
Number of vehicle thefts in Mexico from 2015 to 2019
Nearly 186 thousand vehicles were robbed in Mexico in 2019 , down from almost 214 thousand occurrences registered a year earlier . Car thefts were consistently increasing between the period of 2015 and 2018 . However , in 2019 the number of robbed vehicles dropped by over 28 thousand .
[['Year', 'Number of occurrences'], ['2019', '185692'], ['2018', '213953'], ['2017', '210819'], ['2016', '174799'], ['2015', '160939']]
Share of workers paid hourly rates at or below prevailing federal minimum wage in the United States from 1980 to 2019 , by gender
This statistic shows the percent of workers paid hourly rates at or below prevailing federal minimum wage in the United States from 1980 to 2019 , by gender . In 2019 , only 2.6 percent of the female wage and salary workers were paid hourly rates at or below the federal minimum wage , compared to 21.6 percent in 1980 .
[['Year', 'Women', 'Men'], ['1980', '21.6%', '9.7%'], ['1981', '21.3%', '9.6%'], ['1982', '17.3%', '8.6%'], ['1983', '16.4%', '8.4%'], ['1984', '14.8%', '7.5%'], ['1985', '13.2%', '6.9%'], ['1986', '11.9%', '5.9%'], ['1987', '10.5%', '5.4%'], ['1988', '8.6%', '4.4%'], ['1989', '6.7%', '3.5%'], ['1990', '6.9%', '3.4%'], ['1991', '10.9%', '6%'], ['1992', '9.7%', '5.9%'], ['1993', '8.4%', '5.1%'], ['1994', '7.8%', '4.7%'], ['1995', '6.8%', '3.9%'], ['1996', '6.8%', '3.9%'], ['1997', '8.3%', '5.1%'], ['1998', '7.7%', '4.7%'], ['1999', '5.9%', '3.4%'], ['2000', '4.8%', '2.5%'], ['2001', '3.9%', '2%'], ['2002', '3.7%', '2.2%'], ['2003', '3.8%', '2%'], ['2004', '3.6%', '1.8%'], ['2005', '3.3%', '1.7%'], ['2006', '2.9%', '1.5%'], ['2007', '3.1%', '1.4%'], ['2008', '3.9%', '1.9%'], ['2009', '5.9%', '3.9%'], ['2010', '7.3%', '4.5%'], ['2011', '6.4%', '3.9%'], ['2012', '6%', '3.4%'], ['2013', '5.4%', '3.3%'], ['2014', '4.8%', '2.9%'], ['2015', '4.1%', '2.5%'], ['2016', '3.4%', '1.9%'], ['2017', '2.8%', '1.7%'], ['2018', '2.6%', '1.6%'], ['2019', '2.6%', '1.3%']]
Unemployment rate in Latin America and the Caribbean in 2019 and 2024 , by country
The statistic presents a comparison of the unemployment rate in Latin American and Caribbean countries in 2019 , and a forecast for 2024 . In April 2019 , the Latin American country with the highest unemployment rate among the nations shown was Venezuela , with around 44.3 percent of its economically active population being unemployed . The unemployment rate in Mexico was expected to be the lowest in the region by 2024 , amounting to 3.4 percent .
[['Country', '2019', '2024*'], ['Venezuela', '44.3%', '56%'], ['Nicaragua', '23.4%', '12.5%'], ['Brazil', '11.4%', '9%'], ['Puerto Rico', '11%', '11.4%'], ['Jamaica', '11%', '8.6%'], ['Barbados', '10.4%', '9.3%'], ['Belize', '10.1%', '13.7%'], ['Argentina', '9.9%', '8.8%'], ['Colombia', '9.7%', '9%'], ['Costa Rica', '9.7%', '9.3%'], ['Bahamas', '9%', '8.6%'], ['Uruguay', '8.1%', '7.4%'], ['El Salvador', '6.7%', '6.9%'], ['Peru', '6.6%', '6.5%'], ['Chile', '6.5%', '6%'], ['Panama', '6.1%', '6%'], ['Paraguay', '5.7%', '5.8%'], ['Dominican Republic', '5.2%', '5.2%'], ['Trinidad and Tobago', '4.8%', '4.4%'], ['Ecuador', '4.3%', '4.5%'], ['Bolivia', '4%', '4%'], ['Mexico', '3.5%', '3.4%'], ['Honduras', '3.4%', '3.7%']]
Fastest-growing private security companies in the United States in 2020 , by revenue growth rate from 2016 to 2019
This statistic shows the fastest-growing private security companies in the United States in 2020 , by aggregate revenue growth between 2016 and 2019 . Security company Exabeam grew by 1,194 percent during this time period .
[['security companies', 'Three-year aggregate revenue growth rate'], ['YourSix', '2,739%'], ['Netizen', '2,222%'], ['Exabeam', '1,194%'], ['KnowBe4', '1,083%'], ['DivvyCloud', '970%'], ['SOLKOA', '724%'], ['CISOSHARE', '644%'], ['Trust Stamp', '615%'], ['Pinnacle Security & Investigation', '613%'], ['BOS Security', '488%'], ['Skynet Integrations', '474%'], ['Aleta Technologies', '470%'], ['GreyCastle Security', '457%'], ['Kisi Security', '381%'], ['Integrated Biometrics', '360%']]
Leading value retail centres in the United Kingdom ( UK ) in 2013 , ranked by number of stores
This statistic shows a ranking of the ten leading value retail centres in the United Kingdom ( UK ) as of November 2013 , by number of stores . Blackpool ranked the highest with 314 value retail stores , while Bradford had the fewest of the ten with 200 stores .
[['Leading value retail centres', 'Number of stores'], ['Blackpool', '314'], ['Doncaster', '288'], ['Huddersfield', '266'], ['Romford', '224'], ['Burton-upon-Trent', '224'], ['Southport', '220'], ['Sunderland', '220'], ['Wakefield', '206'], ['Newport', '205'], ['Bradford', '200']]
Community mobility changes due to the coronavirus ( COVID-19 ) outbreak in Poland from February to June 2020
Due to the outbreak of the coronavirus ( COVID-19 ) in Poland in 2020 , changes in society 's mobility occurred . The most significant decrease in mobility was recorded in places such as restaurants , cafés , shopping centers , theme parks , museums , libraries , and cinemas . Significant changes also took place in shops , pharmacies , and parks . However , in recent weeks , there has been an increased change in the mobility of Poles . Since April 20 , Poland has started the phase of lifting some of the restrictions related to the coronavirus epidemic , which has resulted in increased mobility in shops and parks . For further information about the coronavirus ( COVID-19 ) pandemic , please visit our dedicated Facts and Figures page .
[['mobility industry', 'March 29', 'Apr 11', 'April 30', 'May 7', 'May 21', 'Jun 23'], ['Retail & recreation', '-78%', '-76%', '-28%', '-32%', '-16%', '1%'], ['Grocery & pharmacy', '-59%', '-57%', '18%', '-11%', '-4%', '6%'], ['Parks', '-59%', '-57%', '25%', '16%', '47%', '89%'], ['Transit stations', '-71%', '-64%', '-44%', '-46%', '-38%', '-23%'], ['Workplaces', '-36%', '-48%', '-38%', '-32%', '-27%', '-21%'], ['Residential', '13%', '17%', '10%', '12%', '9%', '4%']]
Position of the Cuban national men 's soccer team in the FIFA World Ranking from 2009 to 2020
As of April 2020 , the Cuban men 's soccer team ranked 179th in the FIFA world ranking , down from the 174th position achieved in the ranking table the previous year .
[['Year', 'FIFA ranking position'], ['2009', '119'], ['2010', '62'], ['2011', '115'], ['2012', '100'], ['2013', '100'], ['2014', '113'], ['2015', '91'], ['2016', '151'], ['2017', '180'], ['2018', '174'], ['2019', '174'], ['2020', '179']]
Number of life insurance employees in the United States from 1960 to 2018 ( in thousands )
The statistic presents the number of life insurance employees in the United States from 1960 to 2018 . There were 340,800 life insurance employees in the United States in 2018 .
[['Year', 'Number of employees in thousands'], ['2018', '340.8'], ['2017', '345.6'], ['2016', '347.8'], ['2015', '330.2'], ['2014', '334.4'], ['2013', '340.6'], ['2012', '347.3'], ['2011', '346.7'], ['2010', '366.4'], ['2009', '362.6'], ['2008', '356.3'], ['2007', '352.8'], ['2006', '362.4'], ['2005', '334.5'], ['2004', '392.4'], ['2003', '440.5'], ['2002', '446.0'], ['2001', '470.3'], ['2000', '481.1'], ['1990', '522.6'], ['1980', '531.9'], ['1970', '525.6'], ['1960', '452.4']]
Average ticket price Dallas Stars ( NHL ) games from 2005/06 to 2014/15 ( in U.S. dollars )
This graph depicts the average ticket price of Dallas Stars games within the National Hockey League from 2005/06 to 2014/15 . In the 2005/06 season , the average ticket price was 36.36 U.S. dollars . The Stars play their home games at the American Airlines Center in Dallas , Texas .
[['Year', 'Average ticket price in U.S. dollars'], ['14/15', '37.28'], ['13/14', '37.28'], ['12/13', '36.09'], ['11/12', '29.95'], ['10/11', '29.68'], ['09/10', '29.68'], ['08/09', '35.66'], ['07/08', '37.8'], ['06/07', '36.85'], ['05/06', '36.36']]
How comfortable would you be with a person with a visible tattoo working in the following occupations ?
This statistic shows the results of a 2015 survey among adult Americans on the perception of people with tattoos working in certain jobs . During the survey , 58 percent of respondents stated that they would feel comfortable with a tattooed presidential candidate , while 42 percent of respondents said they would not .
[['Response', 'Comfortable', 'Not comfortable'], ['Athlete', '86%', '14%'], ['IT technician', '81%', '19%'], ['Chef', '78%', '22%'], ['Police officer', '70%', '30%'], ['Real estate broker/agent', '68%', '32%'], ['Camp counselor', '67%', '33%'], ['Banker', '64%', '36%'], ['Doctor', '62%', '38%'], ['Primary school teacher', '59%', '41%'], ['Judge', '59%', '41%'], ['Presidential candidate', '58%', '42%']]
Facebook usage penetration in Thailand from 2017 to 2023
This statistic presents the Facebook penetration in Thailand from 2017 to 2023 . In 2017 , 37 percent of the population accessed the social network . This share is set to increase to 42 percent in 2023 .
[['Response', 'Share of population'], ['2023*', '42%'], ['2022*', '41%'], ['2021*', '40%'], ['2020*', '39%'], ['2019*', '39%'], ['2018', '38%'], ['2017', '37%']]
The world 's largest hydroelectric dams as of 2019 , based on generating capacity ( in gigawatts )
This statistic displays the world 's largest hydroelectric dams as of 2018 , based on generating capacity . During this year , one of the largest hydropower facilities was located along the Columbia River in Washington , United States ; it had a generating capacity of 6.81 gigawatts .
[['Name (location)', 'Generating capacity in gigawatts'], ['Three Gorges Dam (Yangtze River, China)', '22.5'], ['Itaipu Dam (Paraná River, Brazil/Paraguay)', '14.0'], ['Xiluodu (Jinsha River, China)', '13.86'], ['Guri (Caroní River, Venezuela)', '10.24'], ['Tucuruí (Tocantins River, Brazil)', '8.37'], ['Grand Coulee (Columbia River, United States)', '6.81'], ['Longtan Dam (Hongshui River, China)', '6.43'], ['Xiangjiaba (Jinsha River, China)', '6.4'], ['Krasnoyarsk (Yensei River, Russia)', '6.0'], ['Robert-Bourassa (La Grande, Canada)', '5.62']]
Canada : Fertility rate from 2008 to 2018
The statistic shows the fertility rate in Canada from 2008 to 2018 . The fertility rate is the average number of children born by one woman while being of child-bearing age . In 2018 , the fertility rate among Canada 's population was 1.5 children per woman .
[['Year', 'Number of children born per woman'], ['2018', '1.5'], ['2017', '1.5'], ['2016', '1.54'], ['2015', '1.56'], ['2014', '1.58'], ['2013', '1.59'], ['2012', '1.61'], ['2011', '1.61'], ['2010', '1.63'], ['2009', '1.67'], ['2008', '1.68']]
Revenue of the electric power industry in the United States from 1970 to 2019 ( in billion U.S. dollars )
In 2019 , the electric power industry in the United States generated a revenue of about 401.7 billion U.S. dollars .
[['Year', 'Revenue in billion U.S. dollars'], ['2019', '401.7'], ['2018', '406.5'], ['2017', '390.32'], ['2016', '386.51'], ['2015', '391.34'], ['2014', '393.06'], ['2013', '375.05'], ['2012', '363.69'], ['2011', '371.05'], ['2010', '368.91'], ['2005', '298.0'], ['2000', '233.2'], ['1995', '207.7'], ['1990', '178.2'], ['1980', '98.4'], ['1970', '23.7']]
Percentage of teenagers ( 16 - 19 ) who are enrolled in school and working in the United States from 1985 to 2019
In 2019 , around 19.2 percent of teenagers between ages 16 and 19 were employees while enrolled at school in the United States . This is a slight decrease from the previous year , when 19.4 percent of teenagers were working while at school .
[['Response', 'Percentage of young adults'], ['2019', '19.2%'], ['2018', '19.4%'], ['2017', '19.2%'], ['2016', '19.2%'], ['2015', '18.2%'], ['2014', '17%'], ['2013', '17%'], ['2012', '18%'], ['2011', '17.4%'], ['2010', '18%'], ['2009', '19%'], ['2008', '22%'], ['2007', '23.5%'], ['2006', '25.1%'], ['2005', '25%'], ['2004', '24.7%'], ['2003', '25%'], ['2002', '26%'], ['2001', '28%'], ['2000', '30%'], ['1999', '30%'], ['1998', '31%'], ['1997', '29%'], ['1996', '29%'], ['1995', '29%'], ['1994', '29%'], ['1993', '27%'], ['1992', '26%'], ['1991', '26%'], ['1990', '28%'], ['1985', '26%']]
Share of U.S. small business owners reporting an increase in revenue compared to the previous year from 2010 to 2017
This statistic shows small business owners ' responses to a survey question asked from 2010 to 2017 , about increases in business revenue . In 2017 , 38 percent of small business owners surveyed said revenue had increased in the last year .
[['Year', 'Share with an increase in revenue'], ['2017', '38%'], ['2016', '34%'], ['2015', '28%'], ['2014', '30%'], ['2013', '29%'], ['2012', '29%'], ['2011', '26%'], ['2010', '25%']]
Revenue distribution share of the Coca-Cola Company worldwide in 2019 , by operating segment
In 2019 , almost 32 percent of The Coca-Cola Company 's revenue was specifically generated in North America . The American multinational corporation owns various brands , such as Sprite , Minute Maid , and Aquarius .
[['Operating segment', 'Revenue distribution share'], ['North America', '31.9%'], ['Bottling Investments', '19.9%'], ['Europe, Middle East & Africa', '17.3%'], ['Asia-Pacific', '12.7%'], ['Latin America', '11%'], ['Global Ventures', '6.9%'], ['Corporate', '0.3%']]
Tennis players with the most Twitter followers as of June 2018 ( in millions )
This statistic gives information on the most-followed tennis players on Twitter as of June 2018 . As of that month , Spanish player Rafael Nadal was ranked first with almost 15.5 million Twitter followers .
[['Tennis player', 'Number of followers in millions'], ['Rafael Nadal', '15.5'], ['Roger Federer', '12.12'], ['Serena Williams', '10.71'], ['Maria Sharapova', '8.51'], ['Novak Djokovic', '8.29'], ['Sania Mirza', '7.97'], ['Andy Murray', '3.73'], ['Juan Martin del Potro', '3.26'], ['Caroline Wozniacki', '3.15'], ['Ana Ivanovic', '2.77']]
Poverty rate in Idaho from 2000 to 2019
This statistic shows the poverty rate in Idaho from 2000 to 2019 . In 2019 , about 11.2 percent of Idaho 's population lived below the poverty line .
[['Response', 'Percentage of population'], ['2019', '11.2%'], ['2018', '11.8%'], ['2017', '12.8%'], ['2016', '14.4%'], ['2015', '15.1%'], ['2014', '14.8%'], ['2013', '15.6%'], ['2012', '15.9%'], ['2011', '16.5%'], ['2010', '15.7%'], ['2009', '14.3%'], ['2008', '12.6%'], ['2007', '12.1%'], ['2006', '12.6%'], ['2005', '13.9%'], ['2004', '14.5%'], ['2003', '13.8%'], ['2002', '13.8%'], ['2001', '12%'], ['2000', '11.4%']]
Revenue of Arcelik by segment worldwide from 2014 to 2019 ( in million euros )
The statistic shows the revenue of Arcelik by segment worldwide from 2014 to 2019 . In 2019 , the revenue of Arcelik 's white goods segment amounted to around 3.67 billion euros .
[['Year', 'White Goods', 'Consumer Electronics', 'Other'], ['2019', '3672.9', '487.8', '632.5'], ['2018', '3099.9', '421.1', '516.3'], ['2017', '2289.2', '409.1', '429.1'], ['2016', '1727.2', '315.5', '372.7'], ['2015', '1545.5', '295.0', '285.3'], ['2014', '1360.9', '274.4', '242.5']]