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Number of kidnapping cases in selected countries in Latin America and the Caribbean in 2018 | Some countries in Latin America and the Caribbean registered a large quantity of kidnapping cases in 2018 . Mexico led the list , among the countries with available data , with a total of 1,833 kidnapping cases . Ecuador followed with 753 occurrences , while Brazil recorded 659 kidnappings . | [['Country', 'Number of kidnapping cases'], ['Mexico', '1833'], ['Ecuador', '753'], ['Brazil', '659'], ['Chile', '306'], ['Colombia', '279'], ['Venezuela', '198'], ['Peru', '122'], ['Bolivia', '84'], ['Haiti', '46'], ['Honduras', '39'], ['Uruguay', '24'], ['Panama', '18'], ['Jamaica', '11'], ['Bahamas', '9'], ['Paraguay', '5'], ['Antigua and Barbuda', '2'], ['Dominica', '1']] |
Kenya : Total population from 2015 to 2025 ( in million inhabitants ) | This statistic shows the total population of Kenya from 2015 to 2025 . In 2019 , the total population of Kenya was estimated at approximately 47.6 million inhabitants . | [['Year', 'Inhabitants in millions'], ['2025*', '54.38'], ['2024*', '53.22'], ['2023*', '52.06'], ['2022*', '50.92'], ['2021*', '49.8'], ['2020*', '48.69'], ['2019', '47.6'], ['2018', '46.5'], ['2017', '45.4'], ['2016', '44.3'], ['2015', '43.3']] |
Number of employed people in Italy as of the 2nd quarter of 2020 , by economic sector ( in 1,000s ) | The service sector employed the largest number of people in Italy . In the second quarter of 2020 , the number of individuals working in this sector was 15.8 million . The industry sector followed with 4.7 million people . In total , 22.7 people were employed in Italy as of the second quarter of 2020 . | [['economic sector', 'Number of employees in thousands'], ['Service', '15791'], ['Industry', '4705'], ['Construction', '1352'], ['Agriculture, forestry, fishing', '865']] |
Number of recipients of the Federal Pell Grant Award in the United States from 1980/81 to 2019/20 | This statistic shows the average number of recipients of Federal Pell Grant Awards in the United States from 1980/1981 to 2019/2020 . In the 1980/81 academic year there were 2.7 million recipients . By the academic year 2019/20 , the number of recipients had increased to 6.7 million . | [['Year', 'Number of recipients in millions'], ['2019-20', '6.7'], ['2018-19', '6.8'], ['2017-18', '7.1'], ['2016-17', '7.2'], ['2015-16', '7.7'], ['2014-15', '8.3'], ['2013-14', '8.7'], ['2012-13', '9.0'], ['2011-12', '9.4'], ['2010-11', '9.3'], ['2005-06', '5.2'], ['2000-01', '3.9'], ['1995-96', '3.6'], ['1990-91', '3.4'], ['1985-86', '2.8'], ['1980-81', '2.7']] |
Amount of freight transported by all inland modes of transportation in Russia from 2006 to 2019 ( in million tonne-kilometres ) | This statistic shows the total amount of freight transported annually in Russia by all inland modes of transport between 2006 and 2019 , including freight trains , road transportation and inland shipping . An overall increase in the amount of freight transported can be observed over the time period shown . In 2019 , around 4.3 trillion tonne-kilometres of freight were transported within Russia . | [['Year', 'Transport volume in million tonne-kilometres'], ['2019', '4300741'], ['2018', '4244479'], ['2017', '4121679'], ['2016*', '3898950'], ['2015*', '3870649'], ['2014', '3840075'], ['2013', '3750303'], ['2012*', '3739640'], ['2011', '3529942'], ['2010', '3387568'], ['2009', '3220929'], ['2008', '3509073'], ['2007', '3523107'], ['2006', '3390146']] |
Value of property , plant and equipment in service for shareholder-owned electric utilities in the United States from 2010 to 2019 ( in million U.S. dollars ) | This statistic represents U.S. shareholder-owned electric utilities ' property , plant and equipment in service between 2010 and 2019 . In 2019 , property , plant and equipment in service amounted to around 1.59 trillion U.S. dollars . | [['Year', 'Value in million U.S. dollars'], ['2019', '1591259'], ['2018**', '1490766'], ['2017', '1436303'], ['2016', '1378601'], ['2015', '1290264'], ['2014', '1213469'], ['2013', '1159035'], ['2012', '1109921'], ['2011', '1052569'], ['2010', '998482']] |
Do you believe your social media profile reflects what you are really like ? | This statistic shows the results of a survey , conducted in 2013 among adult Americans , on whether their own social media profile represents them accurately , or not . 78 percent of respondents stated they believe their own social media profile reflects them the way they are in real life . | [['Response', 'Share of respondents'], ['Yes', '78%'], ['No', '17%'], ["Don't know / refused", '7%']] |
Bulgaria : Gross domestic product ( GDP ) per capita in current prices from 1984 to 2024 ( in U.S. dollars ) | The statistic shows gross domestic product ( GDP ) per capita in Bulgaria from 1984 to 2018 , with projections up until 2024 . GDP is the total value of all goods and services produced in a country in a year . It is considered to be a very important indicator of the economic strength of a country and a positive change is an indicator of economic growth . In 2018 , the GDP per capita in Bulgaria amounted to around 9,313.83 U.S. dollars . | [['Year', 'GDP per capita in U.S. dollars'], ['2024*', '13316.36'], ['2023*', '12445.46'], ['2022*', '11650.9'], ['2021*', '10887.5'], ['2020*', '10133.07'], ['2019*', '9518.44'], ['2018', '9313.83'], ['2017', '8275.44'], ['2016', '7496.08'], ['2015', '7017.41'], ['2014', '7888.56'], ['2013', '7667.59'], ['2012', '7399.39'], ['2011', '7836.58'], ['2010', '6743.74'], ['2009', '6859.68'], ['2008', '7152.79'], ['2007', '5812.68'], ['2006', '4444.51'], ['2005', '3839.45'], ['2004', '3344.62'], ['2003', '2689.77'], ['2002', '2074.58'], ['2001', '1783.72'], ['2000', '1613.94'], ['1999', '1673.66'], ['1998', '1631.94'], ['1997', '1228.13'], ['1996', '1153.87'], ['1995', '1511.49'], ['1994', '892.19'], ['1993', '501.48'], ['1992', '913.31'], ['1991', '222.71'], ['1990', '2253.9'], ['1989', '5079.81'], ['1988', '4965.9'], ['1987', '3030.63'], ['1986', '2611.0'], ['1985', '2949.18'], ['1984', '3446.96']] |
Mobile app verticals with the highest install and user base growth in 2018 ( Growth Index score ) | This statistic presents a ranking of the mobile app verticals with the highest install and user base growth in 2018 . In 2018 , mid-core games had the highest Growth Index score with rating of 18.53 . This , according to the source , is due to the growth of battle royale and MOBA games such as Fortnite . | [['Mobile app vertical', 'Growth Index score'], ['Games - Mid-core', '18.53'], ['Ride-Hail & Taxi', '17.63'], ['Games - Sports', '15.07'], ['Video & Streaming', '12.34'], ['Dating', '11.28'], ['Games - Casual', '10.5'], ['Shopping', '10.1'], ['Games - Casino', '7.72'], ['Communication', '7.64'], ['Food Delivery', '6.13'], ['Travel Booking', '4.76'], ['Marketplace & Classifieds', '4.52'], ['Weather', '4.11'], ['Health', '3.99'], ['Comics', '3.82'], ['Music', '3.81'], ['Banking', '3.8'], ['Social Network', '2.29'], ['News', '2.11']] |
Number of social network users in Canada from 2017 to 2025 ( in millions ) | This statistic shows the number of social network users in Canada from 2017 to 2025 . In 2019 , there were approximately 25.35 million social network users in Canada , and this figure is projected to grow to 32.07 million users in 2023 . | [['Year', 'Number of users in millions'], ['2025*', '32.07'], ['2024*', '31.22'], ['2023*', '30.29'], ['2022*', '29.23'], ['2021*', '27.88'], ['2020', '25.35'], ['2019', '25.0'], ['2018', '24.6'], ['2017', '24.12']] |
Internet usage frequency among individuals in Italy in 2019 | This statistic shows the percentage of individuals using the internet by frequency in Italy in 2019 . In 2019 , 73 percent of individuals in Italy accessed the internet daily , while 74 percent of them used to do the same once a week . | [['Response', 'Share of individuals'], ['Once a week (including every day)', '74%'], ['Less than once a week', '2%'], ['At least once a week (but not every day)', '1%'], ['Daily', '73%']] |
Average prices for soybean oil worldwide from 2014 to 2025 ( in nominal U.S. dollars per mt ) | This statistic depicts the average annual prices for soybean oil from 2014 through 2025 . In 2019 , the average price for soybean oil stood at 765 nominal U.S. dollars per metric ton . | [['Year', 'Price in nominal U.S. dollars per metric ton'], ['2025*', '880'], ['2024*', '867'], ['2023*', '853'], ['2022*', '840'], ['2021*', '828'], ['2020*', '815'], ['2019', '765'], ['2018', '789'], ['2017', '851'], ['2016', '815'], ['2015', '756'], ['2014', '906']] |
Panama : Total population from 2015 to 2025 ( in million inhabitants ) | This statistic shows the total population of Panama from 2015 to 2019 , with projections up until 2025 . In 2019 , the total population of Panama amounted to approximately 4.22 million inhabitants . | [['Year', 'Inhabitants in millions'], ['2025*', '4.72'], ['2024*', '4.63'], ['2023*', '4.54'], ['2022*', '4.45'], ['2021*', '4.36'], ['2020*', '4.28'], ['2019', '4.22'], ['2018', '4.16'], ['2017', '4.1'], ['2016', '4.04'], ['2015', '3.98']] |
San Francisco Giants all-time home run leaders as of October 2020 | This statistic shows the San Francisco Giants all-time home run leaders as of October 2020 . Willie Mays has hit the most home runs in San Francisco Giants franchise history with 646 home runs . | [['player', 'Number of home runs'], ['Willie Mays', '646'], ['Barry Bonds', '586'], ['Mel Ott', '511'], ['Willie McCovey', '469'], ['Matt Williams', '247'], ['Orlando Cepeda', '226'], ['Bobby Thomson', '189'], ['Bobby Bonds', '186'], ['Will Clark', '176'], ['Jeff Kent', '175']] |
Use of smartphones by United States travelers other than to make a call while on vacation as of March 2014 | This statistic shows the use of smartphones by United States travelers other than to make a call while on vacation as of March 2014 . During the survey , 22 percent of the respondents stated they used their smartphone to search the web while on vacation . | [['Response', 'Share of respondents'], ['Take photos and videos', '37%'], ['Search the web', '22%'], ['Use GPS/map apps to get around', '20%']] |
Share of individuals perceiving the waiting times to get an appointment with doctors as too long in Australia as of June 2018 | This statistic displays the Australian results of a survey on global views on healthcare in 2018 . According to data provided by Ipsos , about 43 percent of respondents from Australia agreed that the waiting times to get a doctor 's appointment were too long , while around 24 percent did not consider the waiting times as too long . | [['Response', 'Share of respondents'], ['Agree', '43%'], ['Neither agree nor disagree', '33%'], ['Disagree', '24%']] |
Delta Air Lines ' passenger load factor from FY 2008 to FY 2019 | Delta Air Lines ' load factor of 86.3 percent in 2019 represents a slight increase from last year 's 85.5 percent . The passenger load factor of U.S. airlines was 83.72 percent in 2018 , making Delta above the average . | [['Year', 'Passenger load factor'], ['2019', '86.3%'], ['2018', '85.5%'], ['2017', '85.6%'], ['2016', '84.6%'], ['2015', '84.9%'], ['2014', '84.7%'], ['2013', '83.8%'], ['2012', '83.8%'], ['2011', '82.1%'], ['2010', '83%'], ['2009', '82%'], ['2008', '81.4%']] |
Projected change in employment of U.S. real estate brokers and sales agents between 2010 and 2020 , by occupation | This statistic represents the projected change in employment of real estate brokers and sales agents in the United States between 2010 and 2020 . Over this time period , employment for real estate sales agents is expected to grow 12 percent . | [['occupation', 'Percent change'], ['Real estate sales agents', '12%'], ['Real estate brokers and sales agents', '11%'], ['Real estate brokers', '8%'], ['Total, all occupations*', '14%']] |
Cambodia : Fertility rate from 2008 to 2018 | This statistic shows the fertility rate in Cambodia from 2008 to 2018 . The fertility rate is the average number of children borne by one woman while being of child-bearing age . In 2018 , the fertility rate in Cambodia amounted to 2.5 children per woman . | [['Year', 'Number of born children per woman'], ['2018', '2.5'], ['2017', '2.53'], ['2016', '2.56'], ['2015', '2.59'], ['2014', '2.63'], ['2013', '2.68'], ['2012', '2.74'], ['2011', '2.81'], ['2010', '2.88'], ['2009', '2.95'], ['2008', '3.02']] |
Average annual wage in the Netherlands in 2018 , by sector ( in euros ) | This statistic displays the average annual wage in the Netherlands in 2018 , by sector , in euros . As of 2018 , employees in the mining and quarrying sector in the Netherlands earned the highest average annual wage , while employees in the accommodation and food serving sector received the lowest . Employees in the mining and quarrying industry earned just under 83,000 euros on average in 2018 , while employees in the accommodation and food service sector earned an average of 13,700 euros in the same year . | [['Sector', 'Average annual wage in euros'], ['Mining and quarrying', '82940'], ['Financial institutions', '62200'], ['Electricity and gas supply', '62030'], ['Information and communication', '52700'], ['Other specialized business services', '51000'], ['Public administration and services', '47530'], ['Water supply and waste management', '45880'], ['Manufacturing', '44990'], ['Construction', '44080'], ['Renting, buying, selling real estate', '42440'], ['Transportation and storage', '38340'], ['Education', '37990'], ['Health and social work activities', '29770'], ['Other service activities', '29390'], ['Wholesale and retail trade', '26830'], ['Agriculture, forestry and fishing', '24000'], ['Culture, sports and recreation', '23590'], ['Renting and other business support', '22580'], ['Accommodation and food serving', '13650']] |
Volume of diamond production in India from financial year 2012 to 2020 ( in 1,000 carats ) | The production volume of diamonds in India totaled over 20 thousand carats in the fiscal year 2020 . Although this was almost half of the previous year , India remains the only Asian country that mines diamonds . This was the second-lowest production volume in the last nine financial years . The diamond mining region lies within the state of Madhya Pradesh . | [['financial year', 'Production volume in thousand carats'], ['FY 2020*', '20.11'], ['FY 2019', '38.15'], ['FY 2018', '39.39'], ['FY 2017', '35.64'], ['FY 2016', '36.07'], ['FY 2015', '36.11'], ['FY 2014', '37.52'], ['FY 2013', '31.99'], ['FY 2012', '18.49']] |
Number of motor vehicles produced by Fiat worldwide from 2006 to 2016 ( in 1,000s units ) | This statistic represents Fiat 's global motor vehicle production from 2006 through 2016 . In 2016 , Fiat produced some 4.7 million vehicles globally . In 2013 , Chrysler became a subsidiary of Fiat Chrysler Automobiles ( FCA ) . | [['Year', 'Production in thousand units'], ['2016', '4681.46'], ['2015', '4865.23'], ['2014', '4865.76'], ['2013', '4681.7'], ['2012', '2127.3'], ['2011', '2399.83'], ['2010', '2410.02'], ['2009', '2460.22'], ['2008', '2524.33'], ['2007', '2679.45'], ['2006', '2319.64']] |
Global reach of selected digital music services among internet users as of April 2016 , by device | This statistic shows the share of global users who use selected digital music services as of April 2016 , sorted by device . During the survey period , 62 percent of respondents said that they had accessed Apple Music via their smartphone . | [['Response', 'Computer', 'Smartphone'], ['Spotify (paid)', '54%', '76%'], ['Spotify (free)', '61%', '60%'], ['Deezer (paid)', '51%', '78%'], ['Deezer (free)', '63%', '40%'], ['Apple Music', '46%', '62%'], ['Pandora', '44%', '65%']] |
Median weekly earnings of African American full-time wage and salary workers in the United States from 1979 to 2019 ( in current U.S. dollars ) | This statistic shows the median weekly earnings of Black or African American full-time wage and salary workers in the United States from 1979 to 2019 . In 1979 , the median usual weekly earnings of a Black full-time employee in the United States amounted to 199 current U.S. dollars , which was 42 U.S. dollars below the general average . In 2019 , the median usual weekly earnings of an African American working full-time was 735 current U.S. dollars . | [['Year', 'Wage in current U.S. dollars'], ['2019', '735'], ['2018', '694'], ['2017', '682'], ['2016', '678'], ['2015', '641'], ['2014', '639'], ['2013', '629'], ['2012', '621'], ['2011', '615'], ['2010', '611'], ['2009', '601'], ['2008', '589'], ['2007', '569'], ['2006', '554'], ['2005', '520'], ['2004', '525'], ['2003', '514'], ['2002', '498'], ['2001', '491'], ['2000', '474'], ['1999', '445'], ['1998', '426'], ['1997', '400'], ['1996', '387'], ['1995', '383'], ['1994', '371'], ['1993', '369'], ['1992', '357'], ['1991', '348'], ['1990', '329'], ['1989', '319'], ['1988', '314'], ['1987', '301'], ['1986', '291'], ['1985', '277'], ['1984', '269'], ['1983', '261'], ['1982', '245'], ['1981', '235'], ['1980', '212'], ['1979', '199']] |
Kazakhstan : Population growth from 2009 to 2019 ( compared to previous year ) | This statistic shows the population change in Kazakhstan from 2009 to 2019 . In 2019 , Kazakhstan 's population increased by approximately 1.29 percent compared to the previous year . | [['Year', 'Population growth compared to previous year'], ['2019', '1.29%'], ['2018', '1.31%'], ['2017', '1.36%'], ['2016', '1.42%'], ['2015', '1.46%'], ['2014', '1.47%'], ['2013', '1.44%'], ['2012', '1.41%'], ['2011', '1.43%'], ['2010', '1.41%'], ['2009', '2.64%']] |
Euro ( EUR ) to British pound ( GBP ) monthly exchange rate from January 2014 to November 2020 | This statistic displays the monthly exchange rate ( as of the end of each month ) of the euro to the British pound sterling ( EUR GBP ) , according to data from the European Central Bank , from January 2014 to November 2020 . The concrete , or point in time , measure shows the exchange rate as of the last day of each month , which is different to the standardized measure ; calculation of average based on observations throughout the period in question . On the last trading day of November 2020 , one euro was worth 0.9 British pounds . | [['Month', 'Exchange rate'], ["Nov '20", '0.9'], ["Oct' 20", '0.9'], ["Sep '20", '0.91'], ["Aug '20", '0.9'], ["Jul '20", '0.9'], ["Jun '20", '0.91'], ["May '20", '0.9'], ["Apr '20", '0.87'], ["Mar '20", '0.87'], ["Feb '20", '0.85'], ["Jan '20", '0.84'], ["Dec '19", '0.85'], ["Nov '19", '0.85'], ["Oct '19", '0.86'], ["Sep '19", '0.89'], ["Aug '19", '0.91'], ["Jul '19", '0.92'], ["Jun '19", '0.9'], ["May '19", '0.89'], ["Apr '19", '0.86'], ["Mar '19", '0.86'], ["Feb '19", '0.86'], ["Jan '19", '0.88'], ["Dec '18", '0.89'], ["Nov '18", '0.89'], ["Oct '18", '0.89'], ["Sep '18", '0.89'], ["Aug '18", '0.9'], ["Jul '18", '0.89'], ["Jun '18", '0.89'], ["May '18", '0.88'], ["Apr '18", '0.88'], ["Mar '18", '0.87'], ["Feb '18", '0.88'], ["Jan '18", '0.88'], ["Dec '17", '0.89'], ["Nov '17", '0.88'], ["Oct '17", '0.88'], ["Sep '17", '0.88'], ["Aug '17", '0.92'], ["Jul '17", '0.89'], ["Jun '17", '0.88'], ["May '17", '0.87'], ["Apr '17", '0.84'], ["Mar '17", '0.86'], ["Feb '17", '0.85'], ["Jan '17", '0.86'], ["Dec '16", '0.84'], ["Nov '16", '0.87'], ["Oct '16", '0.89'], ["Sep '16", '0.86'], ["Aug '16", '0.85'], ["Jul '16", '0.84'], ["Jun '16", '0.83'], ["May '16", '0.76'], ["Apr '16", '0.78'], ["Mar '16", '0.79'], ["Feb '16", '0.79'], ["Jan '16", '0.76'], ["Dec '15", '0.73'], ["Nov '15", '0.7'], ["Oct '15", '0.72'], ["Sep '15", '0.74'], ["Aug '15", '0.73'], ["Jul '15", '0.7'], ["Jun '15", '0.71'], ["May '15", '0.72'], ["Apr '15", '0.73'], ["Mar '15", '0.73'], ["Feb '15", '0.73'], ["Jan '15", '0.75'], ["Dec '14", '0.78'], ["Nov '14", '0.8'], ["Oct '14", '0.78'], ["Sep '14", '0.78'], ["Aug '14", '0.8'], ["Jul '14", '0.79'], ["Jun '14", '0.8'], ["May '14", '0.81'], ["Apr '14", '0.82'], ["Mar '14", '0.83'], ["Feb '14", '0.83'], ["Jan '14", '0.82']] |
Share of the total population who voted , and those who voted for the winning candidate , in U.S. presidential elections from 1824 to 2020 | In the 1824 U.S presidential election , which was the first where a popular vote was used to determine the overall winner , approximately three percent of the U.S. population voted in the election , while only one percent actually voted for the winner . Over the following decades , restrictions that prevented non-property owning males from voting were gradually repealed , and almost all white men over the age of 21 could vote by the 1856 election . The next major development was the 15th Amendment to the U.S. Constitution following the American Civil War , which granted suffrage to all male citizens of voting age , regardless of race . Turnout then grew to almost twenty percent at the turn of the century , however Jim Crow laws played a large part in keeping these numbers lower than they potentially could have been , by disenfranchising black communities in the south and undoing much of the progress made during the Reconstruction Era . | [['Year', 'Voted', 'Voted for winning candidate'], ['2020**', '48.23%', '24.56%'], ['2016', '42.17%', '19.42%'], ['2012', '41.12%', '20.99%'], ['2008', '43.18%', '22.79%'], ['2004', '41.77%', '21.19%'], ['2000', '37.34%', '17.88%'], ['1996', '36.3%', '17.19%'], ['1992', '40.94%', '17.61%'], ['1988', '37.46%', '20%'], ['1984', '39.29%', '23.1%'], ['1980', '38.08%', '19.32%'], ['1976', '37.43%', '18.73%'], ['1972', '36.98%', '22.47%'], ['1968', '36.39%', '15.84%'], ['1964', '36.53%', '22.48%'], ['1960', '38.1%', '18.94%'], ['1956', '36.73%', '21.07%'], ['1952', '39.05%', '21.54%'], ['1948', '33.31%', '16.49%'], ['1944', '34.67%', '18.5%'], ['1940', '37.77%', '21.01%'], ['1936', '35.53%', '17.82%'], ['1932', '31.71%', '18.29%'], ['1928', '30.46%', '17.79%'], ['1924', '25.35%', '13.78%'], ['1920', '25.02%', '15.16%'], ['1916', '18.12%', '8.95%'], ['1912', '15.75%', '6.6%'], ['1908', '16.64%', '8.66%'], ['1904', '16.41%', '9.28%'], ['1900', '18.12%', '9.49%'], ['1896', '19.69%', '10.09%'], ['1892', '18.48%', '8.53%'], ['1888', '18.97%', '9.07%'], ['1884', '18.17%', '8.84%'], ['1880', '18.33%', '8.86%'], ['1876', '18.09%', '8.76%'], ['1872', '15.38%', '8.61%'], ['1868*', '15.09%', '7.94%'], ['1864*', '11.78%', '6.49%'], ['1860', '14.94%', '5.96%'], ['1856', '14.67%', '6.67%'], ['1852', '12.8%', '6.54%'], ['1848', '11.78%', '6.21%'], ['1844', '13.61%', '6.91%'], ['1840', '14.04%', '7.43%'], ['1836', '9.93%', '5.03%'], ['1832', '9.63%', '5.22%'], ['1828', '9.58%', '5.38%'], ['1824', '3.3%', '1.04%']] |
Share of foreign nationals in the total population of EU member states in 2019 | This statistic shows the share of foreign nationals in the total population of European Union member states in 2019 . Foreign nationals are people who do not possess the nationality of the country they are residing in permanently . This includes stateless . In 2019 , the share of foreign nationals in Luxembourg 's population amounted to 47.42 percent . | [['Response', 'Share of foreign nationals in the total population'], ['Luxembourg', '47.42%'], ['Austria', '16.06%'], ['Estonia', '15.03%'], ['Latvia', '13.88%'], ['Ireland', '12.47%'], ['Belgium', '12.21%'], ['Germany', '12.14%'], ['Spain', '10.31%'], ['Denmark', '8.91%'], ['Sweden', '8.8%'], ['Italy', '8.71%'], ['EU', '7.8%'], ['Greece', '7.75%'], ['France', '7.29%'], ['Slovenia', '6.64%'], ['Netherlands', '6.11%'], ['Czech Republic', '5.23%'], ['Portugal', '4.67%'], ['Finland', '4.62%'], ['Hungary', '1.85%'], ['Lithuania', '1.65%'], ['Croatia', '1.61%'], ['Slovakia', '1.37%'], ['Bulgaria', '1.34%'], ['Poland', '0.76%'], ['Romania', '0.62%']] |
Total amount of investments of private equity companies in Greece from 2007 to 2016 ( in million euros ) | The statistic illustrates the total amount of investments of the private equity companies based in Greece from 2007 to 2016 . Private equity is the OTC provision of equity capital through private or institutional investments with the participation of companies in another company for a limited time in order to generate financial benefits . It can be seen that total private equity investments decreased overall during the period under observation , reaching a value of 0.2 million euros as of 2014 . The largest total value of private equity investments was found in 2008 , when total private equity investment of almost 234 million euros was recorded . | [['Year', 'Total investment in million euros'], ['2016', '0.0'], ['2015', '0.0'], ['2014', '0.2'], ['2013', '1.14'], ['2012', '0.0'], ['2011', '9.29'], ['2010', '15.0'], ['2009', '40.01'], ['2008', '233.7'], ['2007', '89.62']] |
Annual change of volume of air passengers during the Chinese New Year amid coronavirus outbreak in China from January 24 to February 2 , 2020 | Since the coronavirus COVID-19 outbreak happened very close to the time of the Chinese New Year , the air passenger volume in China dropped by 63 percent on January 24 , 2020 , the first day of the Chinese New Year holiday , compared to the first holiday day in the previous year . Usually , the Chinese New Year holiday period is a peak travel season in the country . | [['Month', 'Year-on-year change'], ['Feb 2', '-77%'], ['Feb 1', '-77%'], ['Jan 31', '-74%'], ['Jan 30', '-70%'], ['Jan 29', '-64%'], ['Jan 28', '-54%'], ['Jan 27', '-43%'], ['Jan 26', '-39%'], ['Jan 25', '-42%'], ['Jan 24', '-63%']] |
Fastest emerging tourism destinations worldwide for 2014 to 2024 | This statistic shows the fastest emerging tourism destinations worldwide for 2014 to 2024 . Zambia , in Africa , was the third fastest emerging tourism destination with an annual growth rate of 7.3 percent in travel and tourism 's direct contribution to GDP projected for 2014 to 2024 . | [['Country', "Annual growth of travel and tourism's direct contribution to GDP"], ['Namibia', '9.1%'], ['Montenegro', '8.6%'], ['Zambia', '7.3%'], ['Angola', '7.3%'], ['China', '7.3%'], ['Gabon', '7.3%'], ['Burma', '6.9%'], ['Cambodia', '6.9%'], ['Thailand', '6.7%'], ['Cape Verde', '6.5%'], ['India', '6.4%'], ['Vietnam', '6.3%'], ['Mongolia', '6.3%'], ['St. Kitts and Nevis', '6.3%'], ['Kuwait', '6.2%'], ['Cameroon', '6.2%'], ['Tanzania', '6.2%'], ['Peru', '6.2%'], ['Lebanon', '6.2%'], ['Uzbekistan', '6.2%']] |
Net sales of the H & M Group worldwide in 2019 , by selected country ( in million U.S. dollars ) | This statistic depicts the net sales of the H & M Group worldwide in 2019 , by selected country . In fiscal year 2019 , the H & M Group generated net sales amounting to about 3.1 billion U.S. dollars in the United States alone . | [['Country', 'Net sales in million U.S. dollars'], ['Germany', '3507.28'], ['U.S.', '3134.59'], ['UK', '1557.78'], ['France', '1275.34'], ['China', '1261.01'], ['Sweden', '940.4'], ['Italy', '878.49'], ['Spain', '829.24'], ['Russia', '716.51'], ['Netherlands', '712.44']] |
Are you satisfied or dissatisfied with the way Theresa May/Boris Johnson is doing her/his job as Prime Minister or Jeremy Corbyn is doing his job as Leader of the Opposition ? | In 2019 the leader satisfaction scores for the heads of the two main political parties , Theresa May and Jeremy Corbyn , plummeted to their lowest scores since November 2016 , at negative 44 for Corbyn and negative 48 for Theresa May . May 's highest satisfaction score was recorded in February 2017 when she had a satisfaction score of 19 percent , while Corbyn 's highest score was one percent in August 2017 . Although Boris Johnson taking over from May in Summer 2019 prompted an increase in the net satisfaction score for the Prime Minister , the score was still a negative one . | [['Month', 'Prime Minister (May/Johnson)', 'Opposition (Corbyn)'], ['Oct-19', '-19%', '-42%'], ['Sep-19', '-6%', '-43%'], ['Aug-19', '-6%', '-43%'], ['Jul-19', '-38%', '-48%'], ['Jun-19', '-37%', '-44%'], ['May-19', '-48%', '-41%'], ['Apr-19', '-46%', '-41%'], ['Mar-19', '-30%', '-41%'], ['Feb-19', '-24%', '-37%'], ['Jan-19', '-30%', '-33%'], ['Dec-18', '-24%', '-26%'], ['Nov-18', '-24%', '-24%'], ['Oct-18', '-23%', '-27%'], ['Sep-18', '-30%', '-30%'], ['Aug-18', '-32%', '-28%'], ['Jul-18', '-20%', '-20%'], ['Jun-18', '-23%', '-18%'], ['May-18', '-17%', '-17%'], ['Apr-18', '-8%', '-16%'], ['Mar-18', '-13%', '-17%'], ['Feb-18', '-17%', '-9%'], ['Jan-18', '-21%', '-7%'], ['Dec-17', '-25%', '-9%'], ['Nov-17', '-16%', '-6%'], ['Oct-17', '-22%', '-9%']] |
Daily new coronavirus ( COVID-19 ) cases in Italy since February 2020 ( as of January 5 , 2021 ) , by date of report | The first two cases of the new coronavirus ( COVID-19 ) in Italy were recorded between the end of January and the beginning of February 2020 . Since then , the number of cases in Italy increased steadily , reaching more than 2.1 million as of January 5 , 2021 . The region most hit by the virus in the country was Lombardy , with more than 487 thousand cases . On November 13 , 2020 , 40,902 new cases were registered , which represented the biggest increase in daily cases in Italy since the start of the pandemic . The virus originated in Wuhan , a Chinese city populated by millions and located in the province of Hubei . More statistics and facts about the virus in Italy are available here . For a global overview visit Statista 's webpage exclusively dedicated to coronavirus , its development , and its impact . | [['Month', 'Daily new cases'], ['Jan 5, 2021', '15378'], ['Jan 4, 2021', '10800'], ['Jan 3, 2021', '14245'], ['Jan 2, 2021', '11831'], ['Jan 1, 2021', '22211'], ['Dec 31, 2020', '23477'], ['Dec 30, 2020', '16202'], ['Dec 29, 2020', '11224'], ['Dec 28, 2020', '8585'], ['Dec 27, 2020', '8913'], ['Dec 26, 2020', '10431'], ['Dec 25, 2020', '19037'], ['Dec 24, 2020', '18040'], ['Dec 23, 2020', '14522'], ['Dec 22, 2020', '13318'], ['Dec 21, 2020', '10872'], ['Dec 20, 2020', '15102'], ['Dec 19, 2020', '16305'], ['Dec 18, 2020', '15401'], ['Dec 17, 2020', '18233'], ['Dec 16, 2020', '17568'], ['Dec 15, 2020', '14839'], ['Dec 14, 2020', '12025'], ['Dec 13, 2020', '17937'], ['Dec 12, 2020', '19902'], ['Dec 11, 2020', '18726'], ['Dec 10, 2020', '16998'], ['Dec 9, 2020', '12755'], ['Dec 8, 2020', '14837'], ['Dec 7, 2020', '13679'], ['Dec 6, 2020', '18887'], ['Dec 5, 2020', '21052'], ['Dec 4, 2020', '24110'], ['Dec 3, 2020', '23219'], ['Dec 2, 2020', '20709'], ['Dec 1, 2020', '19347'], ['Nov 30, 2020', '16376'], ['Nov 29, 2020', '20646'], ['Nov 28, 2020', '26315'], ['Nov 27, 2020', '28342'], ['Nov 26, 2020', '29001'], ['Nov 25, 2020', '25852'], ['Nov 24, 2020', '23227'], ['Nov 23, 2020', '22927'], ['Nov 22, 2020', '28337'], ['Nov 21, 2020', '34764'], ['Nov 20, 2020', '37239'], ['Nov 19, 2020', '36176'], ['Nov 18, 2020', '34280'], ['Nov 17, 2020', '32191'], ['Nov 16, 2020', '27352'], ['Nov 15, 2020', '33977'], ['Nov 14, 2020', '37249'], ['Nov 13, 2020', '40902'], ['Nov 12, 2020', '37977'], ['Nov 11, 2020', '32961'], ['Nov 10, 2020', '35090'], ['Nov 9, 2020', '25269'], ['Nov 8, 2020', '32614'], ['Nov 7, 2020', '39809'], ['Nov 6, 2020', '37802'], ['Nov 5, 2020', '34502'], ['Nov 4, 2020', '30548'], ['Nov 3, 2020', '28241'], ['Nov 2, 2020', '22253'], ['Nov 1, 2020', '29907'], ['Oct 31, 2020', '31758'], ['Oct 30, 2020', '31084'], ['Oct 29, 2020', '26831'], ['Oct 28, 2020', '24991'], ['Oct 27, 2020', '21994'], ['Oct 26, 2020', '17012'], ['Oct 25, 2020', '21273'], ['Oct 24, 2020', '19640'], ['Oct 23, 2020', '19143'], ['Oct 22, 2020', '16078'], ['Oct 21, 2020', '15199'], ['Oct 20, 2020', '10871'], ['Oct 19, 2020', '9337'], ['Oct 18, 2020', '11705'], ['Oct 17, 2020', '10925'], ['Oct 16, 2020', '10009'], ['Oct 15, 2020', '8803'], ['Oct 14, 2020', '7332'], ['Oct 13, 2020', '5898'], ['Oct 12, 2020', '4619'], ['Oct 11, 2020', '5456'], ['Oct 10, 2020', '5724'], ['Oct 9, 2020', '5372'], ['Oct 8, 2020', '4458'], ['Oct 7, 2020', '3678'], ['Oct 6, 2020', '2677'], ['Oct 5, 2020', '2257'], ['Oct 4, 2020', '2578'], ['Oct 3, 2020', '2844'], ['Oct 2, 2020', '2499'], ['Oct 1, 2020', '2548'], ['Sep 30, 2020', '1851'], ['Sep 29, 2020', '1648'], ['Sep 28, 2020', '1494'], ['Sep 27, 2020', '1766'], ['Sep 26, 2020', '1869'], ['Sep 25, 2020', '1912'], ['Sep 24, 2020', '1786'], ['Sep 23, 2020', '1640'], ['Sep 22, 2020', '1391'], ['Sep 21, 2020', '1350'], ['Sep 20, 2020', '1587'], ['Sep 19, 2020', '1637'], ['Sep 18, 2020', '1907'], ['Sep 17, 2020', '1583'], ['Sep 16, 2020', '1452'], ['Sep 15, 2020', '1229'], ['Sep 14, 2020', '1008'], ['Sep 13, 2020', '1456'], ['Sep 12, 2020', '1501'], ['Sep 11, 2020', '1616'], ['Sep 10, 2020', '1597'], ['Sep 9, 2020', '1430'], ['Sep 8, 2020', '1369'], ['Sep 7, 2020', '1150'], ['Sep 6, 2020', '1297'], ['Sep 5, 2020', '1693'], ['Sep 4, 2020', '1732'], ['Sep 3, 2020', '1397'], ['Sep 2, 2020', '1326'], ['Sep 1, 2020', '975'], ['Aug 31 , 2020', '996'], ['Aug 30 , 2020', '1365'], ['Aug 29 , 2020', '1444'], ['Aug 28, 2020', '1460'], ['Aug 27 , 2020', '1409'], ['Aug 26 , 2020', '1366'], ['Aug 25 , 2020', '876'], ['Aug 24 , 2020', '953'], ['Aug 23 , 2020', '1209'], ['Aug 22 , 2020', '1071'], ['Aug 21 , 2020', '947'], ['Aug 20 , 2020', '840'], ['Aug 19 , 2020', '642'], ['Aug 18, 2020', '401'], ['Aug 17, 2020', '320'], ['Aug 16, 2020', '477'], ['Aug 15, 2020', '629'], ['Aug 14, 2020', '574'], ['Aug 13, 2020', '522'], ['Aug 12, 2020', '476'], ['Aug 11, 2020', '412'], ['Aug 10, 2020', '259'], ['Aug 9, 2020', '463'], ['Aug 8, 2020', '347'], ['Aug 7, 2020', '552'], ['Aug 6, 2020', '401'], ['Aug 5, 2020', '384'], ['Aug 4, 2020', '190'], ['Aug 3, 2020', '159'], ['Aug 2 , 2020', '238'], ['Aug 1 , 2020', '295'], ['Jul 31 , 2020', '379'], ['Jul 30 , 2020', '382'], ['Jul 29 , 2020', '288'], ['Jul 28 , 2020', '202'], ['Jul 27 , 2020', '168'], ['Jul 26 , 2020', '254'], ['Jul 25 , 2020', '274'], ['Jul 24 , 2020', '252'], ['Jul 23, 2020', '306'], ['Jul 22, 2020', '280'], ['Jul 21 , 2020', '128'], ['Jul 20 , 2020', '190'], ['Jul 19, 2020', '218'], ['Jul 18 , 2020', '249'], ['Jul 17 , 2020', '231'], ['Jul 16 , 2020', '230'], ['Jul 15 , 2020', '162'], ['Jul 14 , 2020', '114'], ['Jul 13 , 2020', '169'], ['Jul 12 , 2020', '234'], ['Jul 11 , 2020', '188'], ['Jul 10 , 2020', '276'], ['Jul 9 , 2020', '214'], ['Jul 8, 2020', '193'], ['Jul 7, 2020', '137'], ['Jul 6, 2020', '208'], ['Jul 5, 2020', '192'], ['Jul 4, 2020', '235'], ['Jul 3, 2020', '223'], ['Jul 2, 2020', '201'], ['Jul 1, 2020', '182'], ['Jun 30, 2020', '142'], ['Jun 29, 2020', '126'], ['Jun 28, 2020', '174'], ['Jun 27, 2020', '175'], ['Jun 26, 2020', '255'], ['Jun 25, 2020', '296'], ['Jun 24, 2020', '577'], ['Jun 23, 2020', '113'], ['Jun 22, 2020', '221'], ['Jun 21, 2020', '224'], ['Jun 20, 2020', '264'], ['Jun 19, 2020', '-148'], ['Jun 18, 2020', '331'], ['Jun 17, 2020', '328'], ['Jun 16, 2020', '210'], ['Jun 15, 2020', '301'], ['Jun 14, 2020', '338'], ['Jun 13, 2020', '346'], ['Jun 12, 2020', '163'], ['Jun 11, 2020', '379'], ['Jun 10, 2020', '202'], ['Jun 9, 2020', '283'], ['Jun 8, 2020', '280'], ['Jun 7, 2020', '197'], ['Jun 6, 2020', '270'], ['Jun 5, 2020', '518'], ['Jun 4, 2020', '177'], ['Jun 3, 2020', '321'], ['Jun 2, 2020', '318'], ['Jun 1, 2020', '200'], ['May 31, 2020', '333'], ['May 30, 2020', '416'], ['May 29, 2020', '516'], ['May 28, 2020', '593'], ['May 27, 2020', '584'], ['May 26, 2020', '397'], ['May 25, 2020', '300'], ['May 24, 2020', '531'], ['May 23, 2020', '669'], ['May 22, 2020', '652'], ['May 21, 2020', '642'], ['May 20, 2020', '665'], ['May 19, 2020', '813'], ['May 18, 2020', '425'], ['May 17, 2020', '675'], ['May 16, 2020', '875'], ['May 15, 2020', '789'], ['May 14, 2020', '992'], ['May 13, 2020', '888'], ['May 12, 2020', '1402'], ['May 11, 2020', '744'], ['May 10, 2020', '802'], ['May 9, 2020', '1083'], ['May 8, 2020', '1327'], ['May 7, 2020', '1401'], ['May 6, 2020', '1444'], ['May 5, 2020', '1071'], ['May 4, 2020', '1221'], ['May 3, 2020', '1389'], ['May 2, 2020', '1900'], ['May 1, 2020', '1965'], ['Apr 30, 2020', '1872'], ['Apr 29, 2020', '2086'], ['Apr 28, 2020', '2091'], ['Apr 27, 2020', '1739'], ['Apr 26, 2020', '2324'], ['Apr 25, 2020', '2357'], ['Apr 24, 2020', '3021'], ['Apr 23, 2020', '2646'], ['Apr 22, 2020', '3370'], ['Apr 21, 2020', '2729'], ['Apr 20, 2020', '2256'], ['Apr 19, 2020', '3047'], ['Apr 18, 2020', '3491'], ['Apr 17, 2020', '3493'], ['Apr 16, 2020', '3786'], ['Apr 15, 2020', '2667'], ['Apr 14, 2020', '2972'], ['Apr 13, 2020', '3153'], ['Apr 12, 2020', '4092'], ['Apr 11, 2020', '4694'], ['Apr 10, 2020', '3951'], ['Apr 9, 2020', '4204'], ['Apr 8, 2020', '3836'], ['Apr 7, 2020', '3039'], ['Apr 6, 2020', '3599'], ['Apr 5, 2020', '4316'], ['Apr 4, 2020', '4805'], ['Apr 3, 2020', '4585'], ['Apr 2, 2020', '4668'], ['Apr 1, 2020', '4782'], ['Mar 31, 2020', '4053'], ['Mar 30, 2020', '4050'], ['Mar 29, 2020', '5217'], ['Mar 28, 2020', '5974'], ['Mar 27, 2020', '5909'], ['Mar 26, 2020', '6153'], ['Mar 25, 2020', '5210'], ['Mar 24, 2020', '5249'], ['Mar 23, 2020', '4789'], ['Mar 22, 2020', '5560'], ['Mar 21, 2020', '6557'], ['Mar 20, 2020', '5986'], ['Mar 19, 2020', '5322'], ['Mar 18, 2020', '4207'], ['Mar 17, 2020', '3526'], ['Mar 16, 2020', '3233'], ['Mar 15, 2020', '3590'], ['Mar 14, 2020', '3497'], ['Mar 13, 2020', '2547'], ['Mar 12, 2020', '2651'], ['Mar 11, 2020', '2313'], ['Mar 10, 2020', '977'], ['Mar 9, 2020', '1797'], ['Mar 8, 2020', '1429'], ['Mar 7, 2020', '1247'], ['Mar 6, 2020', '778'], ['Mar 5, 2020', '769'], ['Mar 4, 2020', '587'], ['Mar 3, 2020', '466'], ['Mar 2, 2020', '335'], ['Mar 1, 2020', '573'], ['Feb 29, 2020', '239'], ['Feb 28, 2020', '234'], ['Feb 27, 2020', '185'], ['Feb 26, 2020', '147'], ['Feb 25, 2020', '94'], ['Feb 24, 2020', '72'], ['Feb 23, 2020', '78'], ['Feb 22, 2020', '58']] |
Number of overseas resident visits to the United Kingdom ( UK ) from 2002 to 2019 , with a forecast for 2020 and 2021 ( in millions ) | International tourism to the United Kingdom is expected to fall dramatically in 2020 due to the impact of the coronavirus ( COVID-19 ) pandemic . Current forecasts suggest the number of tourist visits made to the UK from overseas could drop by 76 percent , down to 9.7 million in 2020 . This is from a peak of 40.9 million overseas visits in 2019 . Forecasts for 2021 show that the number of overseas visits to the UK is expected to rise to 16.9 million , a 73 percent increase on 2020 visits , but still a significant drop over 2019 . | [['Year', 'Visits in millions'], ['2021*', '16.9'], ['2020*', '9.7'], ['2019', '40.86'], ['2018', '40.28'], ['2017', '41.08'], ['2016', '39.13'], ['2015', '36.79'], ['2014', '35.34'], ['2013', '33.57'], ['2012', '32.22'], ['2011', '31.89'], ['2010', '30.4'], ['2009', '31.07'], ['2008', '31.89'], ['2007', '32.78'], ['2006', '32.71'], ['2005', '29.97'], ['2004', '27.76'], ['2003', '24.72'], ['2002', '24.18']] |
Leading Hollywood movies based on merchandise sales revenue as of January 2016 ( in billion U.S. dollars ) | The statistic presents the leading Hollywood movies ranked by merchandise sales revenue as of January 2016 . According to the estimates , the `` Despicable Me '' franchise , including `` Minions '' , earned 267 million U.S. dollars in licensed merchandise as of the measured period . `` Cars '' ranked second , with 10 billion U.S. dollars in merchandise sales . At the top of the ranking was the `` Star Wars '' franchise , which generated merchandise sales revenue of 32 billion U.S. dollars as of January 2016 . The latest movie in the series , `` Rogue One : A Star Wars Story '' , cost 200 million U.S. dollars to produce and generated almost 1.1 billion U.S. dollars at the global box office . As a result , the movie was the second most popular movie of 2016 , beaten only by `` Captain America : Civil War '' , which generated over 1.15 billion U.S. dollars worldwide . | [['Hollywood movie', 'Sales revenue in billion U.S. dollars'], ['Star Wars', '32.0'], ['Cars', '10.0'], ['Toy Story', '9.0'], ['Harry Potter', '7.0'], ['Frozen', '5.3'], ['Transformers', '3.0'], ['Spider-Man', '1.3'], ['Avengers', '1.0'], ['Teenage Mutant Ninja Turtles', '0.9'], ['Batman', '0.49'], ['Despicable Me/Minions', '0.27']] |
NHL players with the highest salaries in 2011/12 ( in million U.S. dollars ) | The statistic depicts the players of the National Football League with the highest salaries in the 2011/12 season . The salary of Sidney Crosby ( Pittsburgh Penguins ) was 9 million U.S. dollars in the 2011/12 season . | [['Players', 'Salary (in million U.S. dollars)'], ['Brad Richards (New York Rangers)', '12.0'], ['Ilya Bryzgalov (Philadelphia Flyers)', '10.0'], ['Christian Ehrhoff (Buffalo Sabres)', '10.0'], ['Vincent Lecavalier (Tampa Bay Lightning)', '10.0'], ['Sidney Crosby (Pittsburgh Penguins)', '9.0'], ['Evgeni Malkin (Pittsburgh Penguins)', '9.0'], ['Alex Ovechkin (Washington Capitals)', '9.0'], ['Z. Chara (Boston Bruins)', '8.5'], ['Dany Heatley (Minnesota Wild)', '8.0'], ['Duncan Keith (Chicago Blackhawks)', '8.0'], ['Jason Spezza (Ottawa Senators)', '8.0'], ['Steven Stamkos (Tampa Bay Lightning)', '8.0'], ['Joe Thornton (San Jose Sharks)', '8.0'], ['Marian Hossa (Chicago Blackhawks)', '7.9'], ['Eric Staal (Carolina Hurricanes)', '7.75']] |
Devices used to access local or national government websites according to internet users in selected countries as of October 2014 | This statistic shows the types of devices used to access local or national government websites according to internet users in selected countries as of October 2015 . During the survey period it was found that 85 percent of respondents from the United States who had accessed governmental websites had done so via desktop or laptop computer . | [['Response', 'Desktop/laptop/notebook', 'Mobile phone/smartphone', 'Tablet', 'Connected TV'], ['UK', '86%', '19%', '16%', '5%'], ['France', '91%', '14%', '11%', '3%'], ['Germany', '88%', '17%', '14%', '2%'], ['Italy', '83%', '30%', '21%', '4%'], ['United States', '85%', '20%', '14%', '6%'], ['Japan', '91%', '22%', '12%', '3%'], ['Australia', '88%', '21%', '18%', '3%'], ['Spain', '85%', '31%', '17%', '5%'], ['Sweden', '86%', '31%', '17%', '2%']] |
Average increase in tobacco prices in Poland as of January 2020 , by type of product ( in zloty ) | Due to the change in excise taxes on alcohol and tobacco in Poland from January 2020 , the average price of a cigarette pack will increase by 1.02 zloty . Liquids for electronic cigarettes will be taxed at the effective excise rate from July 1 , 2020 . On May 20 , 2020 , a ban on menthol cigarettes will come into force . | [['type of product', 'Change in the cigarette price in zloty'], ['Dried tobacco (1 kg)', '22.93'], ['Cigar (1 piece)', '0.4'], ['Pack of tobacco (50g)', '1.69'], ['Pack of cigarettes (20 pieces)', '1.02']] |
Energy-related carbon dioxide emissions worldwide from 1990 to 2050 , by fuel ( in billion metric tons ) | Energy-related carbon dioxide ( CO2 ) emissions from natural gas , liquids , and coal have steadily increased since 1990 . It is projected that emissions from these fossil fuels will continue to rise in the coming decades , reaching record highs by 2050 . Natural gas releases approximately 50 percent less CO2 emissions than coal , the most polluting of fossil fuels . | [['Year', 'Natural gas', 'Liquids', 'Coal'], ['2050*', '10.51', '15.61', '16.97'], ['2045*', '9.91', '14.95', '15.92'], ['2040*', '9.26', '14.35', '15.2'], ['2035*', '8.69', '13.9', '14.87'], ['2030*', '8.12', '13.61', '14.67'], ['2025*', '7.67', '13.4', '14.64'], ['2020*', '7.39', '13.22', '14.73'], ['2018', '7.3', '12.98', '15.04'], ['2015', '6.81', '12.24', '14.86'], ['2010', '6.26', '11.39', '13.09'], ['2005', '5.43', '11.13', '11.09'], ['2000', '4.74', '10.17', '8.89'], ['1995', '4.29', '9.42', '8.23'], ['1990', '3.98', '9.12', '8.35']] |
Average import tariff rate and maximum rate of EU Common Customs Tariff ( CCT ) 'applied ' rates for food to the United Kingdom ( UK ) in 2016 , by product category | This statistic shows the average import tariff rate and the maximum rate of the European Union Common Customs Tariff ( CCT ) 'applied ' rates in the United Kingdom ( UK ) in 2016 , by product category . Without a free-trade deal following Brexit , dairy products would experience the highest average import tariff rates of 42.1 percent , with a potential maximum rate of 122 percent . | [['product category', 'Average import tariff rate', 'Max rate in category'], ['Fruit, vegetables, plants', '10.9%', '182%'], ['Oilseeds, fats and oils', '6.8%', '176%'], ['Beverages and tobacco', '20.7%', '166%'], ['Animal products', '17.7%', '138%'], ['Dairy products', '42.1%', '122%'], ['Sugars and confectionery', '25.2%', '81%'], ['Cereals and preparations', '14.9%', '52%']] |
Frequency of browsing the app store among smartphone users in the United States as of July 2018 , by OS | This statistic presents the frequency of browsing the app store among smartphone users in the United States as of July 2018 , sorted by OS . During the survey period , 20 percent of responding Android users stated that they browsed the app store on a daily basis . Only nine percent of iOS users stated the same . | [['Response', 'iOS', 'Android'], ['Daily', '20%', '9%'], ['Weekly', '32%', '21%']] |
Turnover distribution of the food , beverages and tobacco wholesale market in Spain in 2014 , sub-sector ( in million euros ) | This statistic displays the distribution of revenue made in the Spanish food , beverages and tobacco wholesale trade in 2014 . Wholesale of fruit and vegetables held the greatest share of revenue in this sector that year . Tobacco product revenue reached 2.7 billion euros . | [['Food Sub-sector', 'Turnover in million euros'], ['Fruit and vegetables', '29357'], ['Meat and meat products', '8279'], ['Dairy produce, eggs and edible oils and fats', '9123'], ['Beverages', '15192'], ['Tobacco products', '2711'], ['Sugar and chocolate and sugar confectionary', '3946'], ['Coffee, tea, cocoa and spices', '1157'], ['Other food, incl. fish, crustaceans and molluscs', '18489'], ['Non-specialized food, beverages and tobacco', '19523']] |
Number of hospitals in Michigan in 2018 , by ownership type | This statistic depicts the number of hospitals in Michigan in 2018 , by type of ownership . During this year , there were 6 hospitals in Michigan owned by the state or the local government . Over half of the country 's community hospitals are considered non-profit institutions . | [['Ownership type', 'Number of hospitals'], ['State/local government', '6'], ['Non-profit', '113'], ['For-profit', '25'], ['Total', '144']] |
Reasons for traffic stops in the United States in 2011 | This statistics shows various reasons given by police for traffic stops in the United States , in 2011 . Most of the drivers were pulled over due to speeding violation ( 46.5 % ) . | [['Response', 'Percentage of traffic stops'], ['Speeding', '46.5%'], ['Vehicle defect', '14.1%'], ['Record check', '9.7%'], ['Roadside sobriety check', '1.3%'], ['Seatbelt or cell phone violation', '6.6%'], ['Illegal turn or lane change', '7%'], ['Stop sign/light violation', '6.7%'], ['Other reason', '5.1%'], ['Did not give any reason', '3.1%']] |
Weekly box office revenue of the top 10 movies in Hong Kong from November 30 to December 6 , 2020 ( in Hong Kong dollars ) | The graph shows weekly box office revenue of the leading ten movies in Hong Kong . Between November 30 to December 6 , 2020 , the Japanese animated action film The Movie Demon Slayer ranked first after 25 screening days , earning about 845 thousandf Hong Kong dollars that week . | [['film', 'Revenue in Hong Kong dollars'], ['The Movie Demon Slayer: Kimetsu No Yaiba MUGEN TRAIN', '844769'], ['Find Your Voice', '212178'], ['The Calling of A Bus Driver', '169936'], ['Ok! Madam', '159044'], ['The Silent Forest', '121186'], ['Happiest Season', '88857'], ['Memories To Choke On, Drinks To Wash Them Down', '83686'], ['32 Malasana Street', '64407'], ['The Infernal Walker', '44430'], ['Dear Tenant', '40128']] |
Rate of gun deaths in the United States from 2012 to 2014 , by age ( per 100,000 population ) | This statistic shows the number of gun deaths per 100,000 population in the United States annually as an average from the years 2012 to 2014 , by age . The average rate of gun deaths among the population aged 15 to 34 was 14.7 deaths per 100,000 people . | [['Year', 'Deaths per 100,000 population'], ['Under 15', '0.7'], ['15 to 34', '14.7'], ['35 to 64', '12.0'], ['65 and over', '12.5']] |
Gender distribution of religious groups in the United States in 2017 , by faith tradition | This statistic shows the gender distribution of religious groups in the United States , as of January 2017 , by faith tradition . In January 2017 , about 48 percent of Jews in the United States were men . | [['faith tradition', 'Men', 'Women'], ['Hindu', '66%', '34%'], ['Muslim', '59%', '41%'], ['Unaffiliated', '55%', '45%'], ['Orthodox Christian', '50%', '50%'], ['Buddhist', '50%', '50%'], ['Mormon', '48%', '52%'], ['Jewish', '48%', '52%'], ['Hispanic Protestant', '47%', '53%'], ['White Catholic', '47%', '53%'], ['White mainline Protestant', '46%', '54%'], ['Hispanic Catholic', '45%', '55%'], ['White evangelical Protestant', '44%', '56%'], ['Black Protestant', '42%', '58%'], ['Jehovah’s Witness', '37%', '63%'], ['Unitarian/Universalist', '36%', '64%']] |
Euro ( EUR ) to British pound sterling ( GBP ) average exchange rate from January 1999 to October 2020 | When was the euro at its highest ? This statistic displays the annual exchange rate ( average or standardized measure ) of the euro to the British pound sterling ( EUR GBP ) according to data provided by the European Central Bank from the introduction of the euro in 1999 up until 2019 . The average ( standardized ) measure is based on many observations throughout the period in question . This is different than an annual measure which presents concrete values as of the end of the year . | [['Month', 'EUR/GBP exchange rate'], ['Oct 2020', '0.91'], ['Sep 2020', '0.91'], ['Aug 2020', '0.9'], ['Jul 2020', '0.9'], ['Jun 2020', '0.9'], ['May 2020', '0.89'], ['Apr 2020', '0.88'], ['Mar 2020', '0.89'], ['Feb 2020', '0.84'], ['Jan 2020', '0.85'], ['Dec 2019', '0.85'], ['Nov 2019', '0.86'], ['Oct 2019', '0.88'], ['Sep 2019', '0.89'], ['Aug 2019', '0.92'], ['Jul 2019', '0.9'], ['Jun 2019', '0.89'], ['May 2019', '0.87'], ['Apr 2019', '0.86'], ['Mar 2019', '0.86'], ['Feb 2019', '0.87'], ['Jan 2019', '0.89'], ['Dec 2018', '0.9'], ['Nov 2018', '0.88'], ['Oct 2018', '0.88'], ['Sep 2018', '0.89'], ['Aug 2018', '0.9'], ['Jul 2018', '0.89'], ['Jun 2018', '0.88'], ['May 2018', '0.88'], ['Apr 2018', '0.87'], ['Mar 2018', '0.88'], ['Feb 2018', '0.88'], ['Jan 2018', '0.88'], ['Dec 2017', '0.88'], ['Nov 2017', '0.89'], ['Oct 2017', '0.89'], ['Sep 2017', '0.89'], ['Aug 2017', '0.91'], ['Jul 2017', '0.89'], ['Jun 2017', '0.88'], ['May 2017', '0.86'], ['Apr 2017', '0.85'], ['Mar 2017', '0.87'], ['Feb 2017', '0.85'], ['Jan 2017', '0.86'], ['Dec 2016', '0.84'], ['Nov 2016', '0.87'], ['Oct 2016', '0.89'], ['Sep 2016', '0.85'], ['Aug 2016', '0.86'], ['Jul 2016', '0.84'], ['Jun 2016', '0.79'], ['May 2016', '0.78'], ['Apr 2016', '0.79'], ['Mar 2016', '0.78'], ['Feb 2016', '0.78'], ['Jan 2016', '0.75'], ['Dec 2015', '0.73'], ['Nov 2015', '0.71'], ['Oct 2015', '0.73'], ['Sep 2015', '0.73'], ['Aug 2015', '0.71'], ['Jul 2015', '0.71'], ['Jun 2015', '0.72'], ['May 2015', '0.72'], ['Apr 2015', '0.72'], ['Mar 2015', '0.72'], ['Feb 2015', '0.74'], ['Jan 2015', '0.77'], ['Dec 2014', '0.79'], ['Nov 2014', '0.79'], ['Oct 2014', '0.79'], ['Sep 2014', '0.79'], ['Aug 2014', '0.8'], ['Jul 2014', '0.79'], ['Jun 2014', '0.8'], ['May 2014', '0.82'], ['Apr 2014', '0.83'], ['Mar 2014', '0.83'], ['Feb 2014', '0.83'], ['Jan 2014', '0.83'], ['Dec 2013', '0.84'], ['Nov 2013', '0.84'], ['Oct 2013', '0.85'], ['Sep 2013', '0.84'], ['Aug 2013', '0.86'], ['Jul 2013', '0.86'], ['Jun 2013', '0.85'], ['May 2013', '0.85'], ['Apr 2013', '0.85'], ['Mar 2013', '0.86'], ['Feb 2013', '0.86'], ['Jan 2013', '0.83'], ['Dec 2012', '0.81'], ['Nov 2012', '0.8'], ['Oct 2012', '0.81'], ['Sep 2012', '0.8'], ['Aug 2012', '0.79'], ['Jul 2012', '0.79'], ['Jun 2012', '0.81'], ['May 2012', '0.8'], ['Apr 2012', '0.82'], ['Mar 2012', '0.83'], ['Feb 2012', '0.84'], ['Jan 2012', '0.83'], ['Dec 2011', '0.84'], ['Nov 2011', '0.86'], ['Oct 2011', '0.87'], ['Sep 2011', '0.87'], ['Aug 2011', '0.88'], ['Jul 2011', '0.88'], ['Jun 2011', '0.89'], ['May 2011', '0.88'], ['Apr 2011', '0.88'], ['Mar 2011', '0.87'], ['Feb 2011', '0.85'], ['Jan 2011', '0.85'], ['Dec 2010', '0.85'], ['Nov 2010', '0.86'], ['Oct 2010', '0.88'], ['Sep 2010', '0.84'], ['Aug 2010', '0.82'], ['Jul 2010', '0.84'], ['Jun 2010', '0.83'], ['May 2010', '0.86'], ['Apr 2010', '0.87'], ['Mar 2010', '0.9'], ['Feb 2010', '0.88'], ['Jan 2010', '0.88'], ['Dec 2009', '0.9'], ['Nov 2009', '0.9'], ['Oct 2009', '0.92'], ['Sep 2009', '0.89'], ['Aug 2009', '0.86'], ['Jul 2009', '0.86'], ['Jun 2009', '0.86'], ['May 2009', '0.88'], ['Apr 2009', '0.9'], ['Mar 2009', '0.92'], ['Feb 2009', '0.89'], ['Jan 2009', '0.92'], ['Dec 2008', '0.9'], ['Nov 2008', '0.83'], ['Oct 2008', '0.79'], ['Sep 2008', '0.8'], ['Aug 2008', '0.79'], ['Jul 2008', '0.79'], ['Jun 2008', '0.79'], ['May 2008', '0.79'], ['Apr 2008', '0.79'], ['Mar 2008', '0.77'], ['Feb 2008', '0.75'], ['Jan 2008', '0.75'], ['Dec 2007', '0.72'], ['Nov 2007', '0.71'], ['Oct 2007', '0.7'], ['Sep 2007', '0.69'], ['Aug 2007', '0.68'], ['Jul 2007', '0.67'], ['Jun 2007', '0.68'], ['May 2007', '0.68'], ['Apr 2007', '0.68'], ['Mar 2007', '0.68'], ['Feb 2007', '0.67'], ['Jan 2007', '0.66'], ['Dec 2006', '0.67'], ['Nov 2006', '0.67'], ['Oct 2006', '0.67'], ['Sep 2006', '0.68'], ['Aug 2006', '0.68'], ['Jul 2006', '0.69'], ['Jun 2006', '0.69'], ['May 2006', '0.68'], ['Apr 2006', '0.69'], ['Mar 2006', '0.69'], ['Feb 2006', '0.68'], ['Jan 2006', '0.69'], ['Dec 2005', '0.68'], ['Nov 2005', '0.68'], ['Oct 2005', '0.68'], ['Sep 2005', '0.68'], ['Aug 2005', '0.69'], ['Jul 2005', '0.69'], ['Jun 2005', '0.67'], ['May 2005', '0.68'], ['Apr 2005', '0.68'], ['Mar 2005', '0.69'], ['Feb 2005', '0.69'], ['Jan 2005', '0.7'], ['Dec 2004', '0.7'], ['Nov 2004', '0.7'], ['Oct 2004', '0.69'], ['Sep 2004', '0.68'], ['Aug 2004', '0.67'], ['Jul 2004', '0.67'], ['Jun 2004', '0.66'], ['May 2004', '0.67'], ['Apr 2004', '0.67'], ['Mar 2004', '0.67'], ['Feb 2004', '0.68'], ['Jan 2004', '0.69'], ['Dec 2003', '0.7'], ['Nov 2003', '0.69'], ['Oct 2003', '0.7'], ['Sep 2003', '0.7'], ['Aug 2003', '0.7'], ['Jul 2003', '0.7'], ['Jun 2003', '0.7'], ['May 2003', '0.71'], ['Apr 2003', '0.69'], ['Mar 2003', '0.68'], ['Feb 2003', '0.67'], ['Jan 2003', '0.66'], ['Dec 2002', '0.64'], ['Nov 2002', '0.64'], ['Oct 2002', '0.63'], ['Sep 2002', '0.63'], ['Aug 2002', '0.64'], ['Jul 2002', '0.64'], ['Jun 2002', '0.64'], ['May 2002', '0.63'], ['Apr 2002', '0.61'], ['Mar 2002', '0.62'], ['Feb 2002', '0.61'], ['Jan 2002', '0.62'], ['Dec 2001', '0.62'], ['Nov 2001', '0.62'], ['Oct 2001', '0.62'], ['Sep 2001', '0.62'], ['Aug 2001', '0.63'], ['Jul 2001', '0.61'], ['Jun 2001', '0.61'], ['May 2001', '0.61'], ['Apr 2001', '0.62'], ['Mar 2001', '0.63'], ['Feb 2001', '0.63'], ['Jan 2001', '0.63'], ['Dec 2000', '0.61'], ['Nov 2000', '0.6'], ['Oct 2000', '0.59'], ['Sep 2000', '0.61'], ['Aug 2000', '0.61'], ['Jul 2000', '0.62'], ['Jun 2000', '0.63'], ['May 2000', '0.6'], ['Apr 2000', '0.6'], ['Mar 2000', '0.61'], ['Feb 2000', '0.61'], ['Jan 2000', '0.62'], ['Dec 1999', '0.63'], ['Nov 1999', '0.64'], ['Oct 1999', '0.65'], ['Sep 1999', '0.65'], ['Aug 1999', '0.66'], ['Jul 1999', '0.66'], ['Jun 1999', '0.65'], ['May 1999', '0.66'], ['Apr 1999', '0.67'], ['Mar 1999', '0.67'], ['Feb 1999', '0.69'], ['Jan 1999', '0.7']] |
Key facts on alcohol-related deaths worldwide as of 2018 | It is estimated that alcohol-related deaths account for around five percent of all deaths worldwide . Alcohol has been proven to increase the risk of death from various diseases including certain types of cancer , cardiovascular disease , and liver disease . The countries with the highest per capita consumption of alcohol include Moldova , Lithuania , Czechia , and Nigeria . | [['Statistic', 'Unnamed: 1'], ['Number of deaths per year (in millions)', '3.0'], ['Percentage of all deaths (%)', '5.3'], ['Percentage of total disease and injury burden (%)', '5.1'], ['Percentage of all deaths among 20-39 year-olds (%)', '13.5']] |
Gender gap index in Uruguay from 2014 to 2020 | In 2020 , Uruguay scored 0.74 in the gender gap index which shows a gender gap of approximately 26 percent ( women are 26 percent less likely than men to have equal opportunities ) . That same year , the gender gap in the area of political empowerment in Uruguay amounted to 73 percent . | [['Year', 'Index score'], ['2020', '0.74'], ['2018', '0.72'], ['2017', '0.71'], ['2016', '0.68'], ['2015', '0.68'], ['2014', '0.69']] |
Annual volume of grapefruit and pomelo sold in the United Kingdom ( UK ) from 2008 to 2018 ( in 1,000 tonnes ) | This statistic shows the sales volume of grapefruit and pomelo in the United Kingdom ( UK ) from 2008 to 2018 . The sales volume of grapefruit and pomelo decreased from 2009 to 28.9 thousand tonnes in 2013 , according to historic data . In 2018 the sales volume of grapefruit and pomelo is expected to reach 29 thousand tonnes . | [['Year', 'Sales volume in thousand tonnes'], ['2018*', '29.3'], ['2017*', '29.0'], ['2016*', '28.7'], ['2015 *', '28.6'], ['2014 *', '28.7'], ['2013', '28.9'], ['2012', '29.1'], ['2011', '29.4'], ['2010', '29.8'], ['2009', '30.3'], ['2008', '30.8']] |
Most valuable media brands worldwide in 2018 ( in billion U.S. dollars ) | This statistic illustrates the most valuable media brands worldwide in 2018 . According to the source , ESPN was the most valuable media brand with an estimated value of 14.6 billion U.S. dollars in the measured period . | [['media brand', 'Brand value in billion U.S. dollars'], ['ESPN', '14.6'], ['Fox', '11.7']] |
Number of foundations in the United States from 1990 to 2015 | This statistic shows the number of foundations in the United States from 1990 to 2015 . In 2015 , there were a total of 86,203 foundations registered in the United States . | [['Year', 'Number of foundations'], ['2015', '86203'], ['2014', '86726'], ['2013', '87142'], ['2012', '86192'], ['2011', '81777'], ['2010', '76610'], ['2009', '76545'], ['2008', '75595'], ['2007', '75187'], ['2006', '72477'], ['2005', '71095'], ['2004', '67736'], ['2003', '66398'], ['2002', '64843'], ['2001', '61810'], ['2000', '56582'], ['1999', '50201'], ['1998', '46832'], ['1997', '44146'], ['1996', '41588'], ['1995', '40140'], ['1994', '38807'], ['1993', '37571'], ['1992', '35765'], ['1991', '33356'], ['1990', '32401']] |
Number of people without health insurance in the United States from 2010 to June 2019 ( in millions ) | In the first half of 2019 , approximately 30.9 million people in the United States had no health insurance . The share of Americans without health insurance was steadily decreasing until 2015 , but has been increasing since 2017 . The Tax Cuts and Jobs Act of 2017 caused this change , because it repealed the individual mandate , which penalized individuals for failing to maintain health coverage . | [['Year', 'People in millions'], ['2019*', '30.7'], ['2018', '30.4'], ['2017', '29.3'], ['2016', '28.6'], ['2015', '28.6'], ['2014', '36.0'], ['2013', '44.8'], ['2012', '45.5'], ['2011', '46.3'], ['2010', '48.6']] |
Leading retailers in Mexico in 2018 , by market share | In 2018 , the discount store Bodega Aurrerá held the highest market share among leading retailers in Mexico at 17.3 percent . The convenience store chain Oxxo ranked second highest with 12.5 percent , followed closely by Walmart . | [['business', 'Market share'], ['Bodega Aurrerá', '17.3%'], ['Oxxo', '12.5%'], ['Walmart', '12.1%']] |
Economic contribution of music industry exports in the United Kingdom ( UK ) in 2018 , by thematic grouping ( in million GBP ) | This statistic displays the economic contribution of the UK music industry 's exports in 2018 , by thematic grouping . It was estimated that British music publishing exports had a value of 618 million British pounds in 2018 . | [['thematic grouping', 'Exports in million GBP'], ['Music creators', '1100'], ['Music publishing', '618'], ['Recorded music', '478'], ['Music representatives', '387'], ['Live music', '80'], ['Music retail', '24']] |
Factors consumers look for first when purchasing from the frozen dessert section in the United Kingdom ( UK ) in 2013 | The statistic shows the results of a survey asking buyers of ice cream and frozen desserts what they first look for when in the frozen dessert aisle of a supermarket in the United Kingdom . Price ranked as the most important influencing factor with 47 percent of respondents claiming they looked at this first when purchasing frozen desserts . | [['Response', 'Share of respondents'], ['Price', '47%'], ['Product type', '20%'], ['Flavour', '16%'], ['Nutrition', '10%'], ['Brand', '6%'], ['Pack size', '3%']] |
Number of auto thefts per 100,000 vehicles in Brazil from 2007 to 2018 | The car robbery rate in Brazil has been oscillating throughout recent years . In 2018 , approximately 245 out of every 100,000 automobiles were stolen in the country , down from an average of over 292 auto thefts per 100,000 vehicles recorded one year before . Meanwhile , the rate of automobiles break-ins Brazil stood at 242 per 100,000 vehicles in 2018 . | [['Year', 'Auto thefts per 100,000 vehicles'], ['2018', '245.3'], ['2017*', '292.5'], ['2016', '291.08'], ['2015', '268.57'], ['2014', '279.96'], ['2013', '267.15'], ['2012', '265.96'], ['2011', '243.35'], ['2010', '234.01'], ['2009', '263.75'], ['2008', '268.06'], ['2007', '237.08']] |
Per capita consumption of cocoa beans in the United States from 2000 to 2015 ( in pounds ) | The timeline shows the per capita consumption of cocoa beans in the United States from 2000 to 2015 . The U.S. per capita consumption of cocoa beans amounted to 5.3 pounds in 2015 . | [['Year', 'Per capita consumption in pounds'], ['2015', '5.3'], ['2014', '5.2'], ['2013', '5.3'], ['2012', '5.2'], ['2011', '5.5'], ['2010', '5.5'], ['2009', '5.6'], ['2008', '5.6'], ['2007', '6.0'], ['2006', '6.4'], ['2005', '6.5'], ['2004', '6.0'], ['2003', '5.3'], ['2002', '4.8'], ['2001', '5.6'], ['2000', '5.9']] |
Number of employees at Apache Corporation from 2010 to 2019 | This statistic outlines Apache Corporation 's number of employees from 2010 to 2019 . Apache Corporation is an independent Texas-based oil and gas corporation . At year-end 2018 , the company had 3,163 employees . | [['Year', 'Number of employees'], ['2019', '3163'], ['2018', '3420'], ['2017', '3356'], ['2016', '3727'], ['2015', '3860'], ['2014', '4950'], ['2013', '5342'], ['2012', '5976'], ['2011', '5299'], ['2010', '4449']] |
Real value added to the Gross Domestic Product ( GDP ) of Nevada in 2019 , by industry ( in billion chained 2012 U.S. dollars ) | In 2019 , the finance , insurance , real estate , rental , and leasing industry added the most real value to the gross domestic product of Nevada . That year , this industry added about 30.88 billion chained 2012 U.S. dollars to the GDP of Nevada . | [['Industry', 'Real value added in billion chained (2012) U.S. dollars'], ['Finance, insurance, real estate, rental, and leasing', '30.88'], ['Arts, entertainment, recreation, accommodation, and food services', '23.37'], ['Professional and business services', '18.08'], ['Government and government enterprises', '15.55'], ['Retail trade', '11.87'], ['Educational services, health care, and social assistance', '10.86'], ['Manufacturing', '7.66'], ['Construction', '7.22'], ['Transportation and warehousing', '6.79'], ['Wholesale trade', '6.79'], ['Information', '5.53'], ['Mining, quarrying, and oil and gas extraction', '4.19'], ['Utilities', '2.07'], ['Agriculture, forestry, fishing, and hunting', '0.56']] |
Number of Papa John 's restaurants in the United States in 2019 , by state and type | With 310 store locations , the state of Texas had the most Papa John 's restaurants in the United States in 2019 . The pizza chain operated three restaurants in Maine , two in New Hampshire , while Vermont was the only state not to have a Papa John 's store . | [['Response', 'Company-owned', 'Franchised'], ['Alabama', '3', '77'], ['Alaska', '-', '11'], ['Arizona', '-', '69'], ['Arkansas', '-', '26'], ['California', '-', '184'], ['Colorado', '-', '46'], ['Connecticut', '-', '5'], ['Delaware', '-', '17'], ['District of Columbia', '-', '11'], ['Florida', '39', '246'], ['Georgia', '82', '91'], ['Hawaii', '-', '14'], ['Idaho', '-', '14'], ['Illinois', '8', '75'], ['Indiana', '43', '92'], ['Iowa', '-', '24'], ['Kansas', '15', '19'], ['Kentucky', '44', '67'], ['Louisiana', '-', '59'], ['Maine', '-', '3'], ['Maryland', '60', '42'], ['Massachusetts', '-', '8'], ['Michigan', '-', '36'], ['Minnesota', '-', '35'], ['Mississippi', '-', '30'], ['Missouri', '42', '29'], ['Montana', '-', '9'], ['Nebraska', '-', '13'], ['Nevada', '-', '24'], ['New Hampshire', '-', '2'], ['New Jersey', '-', '52'], ['New Mexico', '-', '16'], ['New York', '-', '83'], ['North Carolina', '100', '81'], ['North Dakota', '-', '9'], ['Ohio', '-', '161'], ['Oklahoma', '-', '36'], ['Oregon', '-', '13'], ['Pennsylvania', '-', '79'], ['Rhode Island', '-', '4'], ['South Carolina', '8', '71'], ['South Dakota', '-', '13'], ['Tennessee', '34', '81'], ['Texas', '94', '216'], ['Utah', '-', '32'], ['Virginia', '26', '120'], ['Washington', '-', '43'], ['West Virginia', '-', '22'], ['Wisconsin', '-', '25'], ['Wyoming', '-', '9']] |
In the past 12 months , have you been exposed the following situations at work ? | According to a survey conducted in 2019 , 12 percent of women in Italy have been exposed to visual and verbal harassment at work such as to whistling , rude gestures or comments . In this year , another common type of sexual harassment at work in France was reported by women who were exposed to obscene proposals or messages with a sexual connotation at work . | [['Response', 'Share of respondents'], ['Whistling, rude gestures or comments, or suggestive looks', '12%'], ['Embarrasing comments on your clothes or body', '10%'], ['Llight physical content like brushing against your hands, hair, face or legs', '6%'], ['Obscene proposals or messages with a sexual connotation', '6%'], ['Offered embarrasing gifts', '5%'], ['Invitations to places or at times that could potentially put you in a cmpromising situation', '5%'], ['Been forced to see or receive texts, photos or videos of a sexual nature despite showing your disinterest in such content', '4%'], ['Touching of genital or erogenous zones like a hand on your bottom, a forced hug or stolen kiss', '3%'], ['Pressured to give sexual favours', '3%']] |
United States direct investments in the European Union from 2000 to 2019 ( in billion U.S. dollars ) | This statistic shows the value of foreign direct investments from the United States into the European Union from 2000 to 2019 . United States direct investments in the EU totaled just under 3.3 trillion U.S. dollars in 2019 . | [['Year', 'Direct investments in billion U.S. dollars'], ['2000', '609.67'], ['2001', '684.16'], ['2002', '758.17'], ['2003', '852.11'], ['2004', '1029.92'], ['2005', '1078.38'], ['2006', '1256.6'], ['2007', '1525.25'], ['2008', '1626.35'], ['2009', '1773.75'], ['2010', '1834.56'], ['2011', '2040.5'], ['2012', '2206.48'], ['2013', '2357.33'], ['2014', '2659.12'], ['2015', '2810.01'], ['2016', '3030.6'], ['2017', '3331.28'], ['2018', '3177.28'], ['2019', '3299.1']] |
Have you ever consumed digital media by downloading , streaming or accessing it online ? | The statistic presents data on digital media consumption among internet users in the United Kingdom ( UK ) as of eight survey waves running between August 2012 and May 2017 . As of wave eight , ending March 2018 , 58 percent of respondents reported ever having consumed media digitally , compared to 49 percent that reported having consumed digital media in the three months previous to survey . | [['Response', 'Ever done', 'Past three months'], ['August to October 2012', '66%', '57%'], ['November 2012 to January 2013', '69%', '60%'], ['March to May 2013', '65%', '56%'], ['March to May 2015', '69%', '62%'], ['March to May 2016', '67%', '59%'], ['March to May 2017', '67%', '59%'], ['March 2018', '58%', '49%']] |
Average age of the population in Iceland from 2010 to 2020 | The average age of the population in Iceland increased gradually between 2010 and 2020 . The average age of the Icelandic was 38.3 years old as of 2020 . The largest Icelandic age group , however , was the 20 to 39-year-olds . | [['Year', 'Average age in years'], ['2020', '38.3'], ['2019', '38.1'], ['2018', '38.0'], ['2017', '37.9'], ['2016', '37.7'], ['2015', '37.5'], ['2014', '37.2'], ['2013', '37.1'], ['2012', '36.9'], ['2011', '36.6'], ['2010', '36.4']] |
Volume of chili produced across India in financial year 2018 , by state ( in 1,000 metric tons ) | Telangana was the largest producer of chilies in fiscal year 2018 among other states across India . This figure amounted to nearly 341 thousand metric tons , contributing about 33 percent to the total chili production in the country . Karnataka followed with Madhya Pradesh ranking third . India produced over one million metric tons of chili that year . | [['state of India', 'Production in thousand metric tons'], ['Telangana', '340.8'], ['Karnataka', '260.14'], ['Madhya Pradesh', '244.55'], ['Orissa', '69.17'], ['Gujarat', '22.07'], ['Assam', '20.61'], ['Punjab', '14.08'], ['Rajasthan', '13.34'], ['Uttar Pradesh', '12.58'], ['Mizoram', '10.92']] |
Number of high school athletics participants in Michigan from 2009/10 to 2018/19 | The statistic shows the number of participants in high school sports in the state of Michigan from 2009/10 to 2018/19 . In 2018/19 , about 166.6 thousand boys participated in high school sports in Michigan . | [['Year', 'Boys', 'Girls'], ['2018/19', '166605', '126342'], ['2017/18', '169527', '127098'], ['2016/17', '168370', '127277'], ['2015/16', '169276', '126160'], ['2014/15', '171027', '124633'], ['2013/14', '171971', '127275'], ['2012/13', '174429', '130009'], ['2011/12', '176734', '131346'], ['2010/11', '181207', '133147'], ['2009/10', '181135', '132683']] |
Key data on Beats Music as of March 2014 | This statistic provides key data on Beats Music as of March 2014 . The service 's March royalties paid to songwriters and publishers amounted to 22.97 thousand U.S. dollars , where the royalties paid to artists and labels amounted to 249.07 thousand U.S. dollars in the same time period . The source additionally estimated that the royalties per play amounted to 0.00012 and 0.00136 U.S. dollars , respectively . | [['Item', 'Unnamed: 1'], ['Number of subscribers', '110992'], ['Number of songs played', '182366328'], ['March royalties (songwriters/publishers) (in U.S. dollars)', '22965'], ['March royalties (artists/labels) (in U.S. dollars)', '249069'], ['Number of plays per subscriber', '1643'], ['Monthly revenue (in U.S. dollars)*', '1109920'], ['Percentage of revenue (songwriters/publishers)**', '2'], ['Percentage of revenue (artists/labels)', '22']] |
Volvo Group 's global net sales in FY 2019 , by major segment ( in million U.S. dollars ) | In the fiscal year of 2019 , the truck segment generated almost 30 billion U.S. dollars of Volvo 's global net sales , representing an uptick of 10 percent from just under 27 million U.S. dollars in 2018 . Volvo is one of the largest truck manufacturers worldwide . | [['segment', 'Net sales in million U.S. dollars'], ['Trucks', '29648.26'], ['Construction equipment', '9495.91'], ['Buses', '3324.31'], ['Volvo Penta', '1423.97']] |
Do you think gay or lesbian relations between consenting adults should or should not be legal ? | This statistic shows the results of a survey among American adults , conducted annually from 2007 to 2017 , regarding their opinion on the legality of gay or lesbian relations between consenting adults . In May 2017 , 72 percent of the respondents stated they think gay or lesbian relations between consenting adults should be legal . | [['Response', 'Should be legal', 'Should not be legal', 'No opinion'], ['2017 May 3-7', '72%', '23%', '5%'], ['2016 May 4-8', '68%', '28%', '4%'], ['2015 May 6-10', '69%', '28%', '4%'], ['2014 May 8-11', '66%', '30%', '4%'], ['2013 May 2-7', '64%', '31%', '5%'], ['2012 May 3-6', '63%', '31%', '6%'], ['2011 May 5-8', '64%', '32%', '4%'], ['2010 May 3-6', '58%', '36%', '6%'], ['2009 May 7-10', '56%', '40%', '4%'], ['2008 May 8-11', '55%', '40%', '5%'], ['2007 May 10-13', '59%', '37%', '4%']] |
Average price of overnight accommodation in Rio de Janeiro , Brazil from January to July 2020 ( in U.S. dollars ) | The average price of accommodation in hotels and similar lodging establishments in Rio de Janeiro experienced a strong decline from March to May 2020 , in relation to the previous two months . While in February of that year , the average price for a standard double room in the world renowned Brazilian city was at 99 U.S. dollars per night . The following month , the price went down to 71 U.S. dollars and in May 2020 , it reached its lowest rate , at 38 U.S. dollars . | [['Month', 'Average price in U.S. dollars'], ['Jul', '51'], ['Jun', '44'], ['May', '38'], ['Apr', '65'], ['Mar', '71'], ['Feb', '99'], ['Jan', '85']] |
Distribution of total sales of the Diagnosis and Treatment segment of the Philips Group in 2019 , by area of business | The statistic illustrates the distribution of total sales of Diagnosis and Treatment by Philips Group in 2019 , by type . In that year , diagnostic imaging had with 40 percent the largest share in sales of Diagnosis and Treatment . The total sales of the Diagnosis and Treatment segment was approximately 8.49 billion euros . After spin-offs of other product segments , Koninklijke Philips N.V. today is a company focused on healthcare/medical technology . | [['Area of business', 'Share of sales'], ['Diagnostic Imaging', '40%'], ['Image-Guided Therapy', '32%'], ['Ultrasound', '21%'], ['Enterprise Diagnostic Informatics', '7%']] |
Percentage of U.S. adults that use apps for stress relief as of 2017 , by gender | This statistic shows the results of a survey conducted in the United States in March 2017 , by gender . U.S. adults were asked if they could imagine themselves using an app to relieve stress/promote inner peace through meditation , light yoga or other activities . In total , 7 percent of female respondents regularly used apps to reduce stress , compared to 5 percent of male respondents . | [['Response', 'Female', 'Male'], ['I use it regularly', '7%', '5%'], ['I use it occasionally', '10%', '8%'], ['I have used it once', '8%', '7%'], ['I can imagine using it', '49%', '52%'], ["I won't use it", '25%', '28%']] |
How long have you been playing games on a mobile phone or tablet ? | This statistic gives information on the length of time mobile gamers in the United States and the United Kingdom have been playing mobile games as of 2012 . During the survey , it was found that 29 percent of mobile gamers had been playing for six months or less . | [['Response', 'Percentage of respondents'], ['1-6 months', '29%'], ['7-12 months', '15%'], ['1-2 years', '25%'], ['2-5 years', '22%'], ['5+ years', '9%']] |
Sales value of retail trade in Sweden from 2008 to 2018 ( as index at current prices ) | This statistic illustrates the trend in retail trade sales ( at current prices ) in Sweden from 2008 to 2018 . Over this period , sales in the Swedish retail trade have generally risen . In 2018 , the index was measured at 108.4 , with 2015 as base year . | [['Year', 'Index (2015=100)'], ['2018', '108.4'], ['2017', '105.6'], ['2016', '103.4'], ['2015', '100.0'], ['2014', '94.5'], ['2013', '91.9'], ['2012', '90.1'], ['2011', '88.3'], ['2010', '87.7'], ['2009', '84.5'], ['2008', '82.6']] |
Consumer loss through cyber crime worldwide in 2017 , by victim country ( in billion U.S. dollars ) | This statistic presents a ranking of the countries most affected by cyber crime in 2017 . During the measured period , consumers in Brazil experienced cyber crime losses worth 22.5 billion U.S. dollars . Globally , the average cyber crime victim lost 142 U.S. dollars . | [['Country', 'Annual loss in billion U.S. dollars'], ['China', '66.3'], ['Brazil', '22.5'], ['United States', '19.4'], ['India', '18.5'], ['Mexico', '7.7'], ['France', '7.1'], ['UK', '6.0'], ['Italy', '4.1'], ['Sweden', '3.9'], ['Indonesia', '3.2'], ['Germany', '2.6'], ['Japan', '2.1'], ['Spain', '2.1'], ['Australia', '1.9'], ['Netherlands', '1.6'], ['Canada', '1.5'], ['UAE', '1.1'], ['Singapore', '0.4'], ['New Zealand', '0.1'], ['Hong Kong', '0.1']] |
Global revenue of leading European food delivery companies in 2018 ( in million euros ) | UK food ordering app Just Eat generated a global revenue of 840 million euros , ranking it among the biggest online food delivery companies in Europe . Delivery Hero also ranked highly . They operate in numourous markets under different brand names , including Foodora and Foodpanda . | [['food delivery companies', 'Revenue in million euros'], ['Just Eat', '840'], ['Delivery Hero', '687'], ['Deliveroo*', '311'], ['Takeaway.com', '240'], ['Glovo', '81'], ['Wolt', '30']] |
Puerto Rico : Population growth from 2009 to 2019 ( compared to previous year ) | This statistic shows the population growth in Puerto Rico from 2009 to 2019 . In 2019 , Puerto Rico 's population increased by approximately 0.01 percent compared to the previous year . | [['Year', 'Population growth compared to previous year'], ['2019', '0.01%'], ['2018', '-4.05%'], ['2017', '-2.42%'], ['2016', '-1.93%'], ['2015', '-1.76%'], ['2014', '-1.63%'], ['2013', '-1.15%'], ['2012', '-1.21%'], ['2011', '-1.16%'], ['2010', '-0.51%'], ['2009', '-0.55%']] |
Installed power capacity across Maharashtra in India from financial year 2005 to 2018 ( in megawatts ) | At the end of fiscal year 2018 , the installed power capacity across Maharashtra in India was around 43,254 megawatts . This Indian state had the highest installed power capacity in the country .The country 's national electric grid had an installed capacity of approximately 364 gigawatts as of October 2019 . Of this capacity , almost three quarters of electricity was produced through fossil fuels . | [['year', 'Installed power capacity in megawatts'], ['FY 2018', '43254.59'], ['FY 2017', '41409.84'], ['FY 2016', '40376.21'], ['FY 2015', '38355.48'], ['FY 2014', '34867.37'], ['FY 2013', '30354.0'], ['FY 2012', '26142.01'], ['FY 2011', '22645.29'], ['FY 2010', '21378.93'], ['FY 2009', '20415.38'], ['FY 2008', '19582.8'], ['FY 2007', '17380.23'], ['FY 2006', '16156.73'], ['FY 2005', '15669.16']] |
Number of new Coronavirus ( COVID-19 ) cases confirmed in Latvia in 2020 | On 20 November 2020 , Latvia reported 12,102 confirmed cases of coronavirus ( COVID-19 ) . According to the country 's Centre for Disease Prevention and Control , more than 565 thousand samples had been tested . For further information about the coronavirus ( COVID-19 ) pandemic , please visit our dedicated Facts and Figures page . | [['Month', 'Confirmed', 'Deaths', 'Cured'], ['Mar 1', '0', '-', '-'], ['Mar 2', '0', '-', '-'], ['Mar 3', '1', '-', '-'], ['Mar 4', '1', '-', '-'], ['Mar 5', '1', '-', '-'], ['Mar 6', '1', '-', '-'], ['Mar 7', '1', '-', '-'], ['Mar 8', '3', '-', '-'], ['Mar 9', '6', '-', '-'], ['Mar 10', '8', '-', '-'], ['Mar 11', '10', '-', '-'], ['Mar 12', '16', '-', '-'], ['Mar 13', '17', '-', '-'], ['Mar 14', '26', '-', '-'], ['Mar 15', '30', '-', '-'], ['Mar 16', '34', '-', '-'], ['Mar 17', '60', '-', '-'], ['Mar 18', '71', '-', '-'], ['Mar 19', '86', '-', '-'], ['Mar 20', '111', '-', '-'], ['Mar 21', '124', '-', '-'], ['Mar 22', '139', '-', '-'], ['Mar 23', '180', '-', '-'], ['Mar 24', '197', '-', '-'], ['Mar 25', '221', '-', '-'], ['Mar 26', '244', '-', '-'], ['Mar 27', '280', '-', '-'], ['Mar 28', '305', '-', '-'], ['Mar 29', '347', '-', '-'], ['Mar 30', '376', '-', '-'], ['Mar 31', '398', '-', '-'], ['Apr 1', '446', '-', '-'], ['Apr 2', '458', '-', '-'], ['Apr 3', '493', '-', '-'], ['Apr 4', '509', '-', '-'], ['Apr 5', '533', '-', '-'], ['Apr 6', '542', '1', '-'], ['Apr 7', '548', '2', '-'], ['Apr 8', '577', '2', '-'], ['Apr 9', '589', '2', '-'], ['Apr 10', '612', '2', '-'], ['Apr 11', '630', '3', '-'], ['Apr 12', '651', '5', '-'], ['Apr 13', '653', '5', '-'], ['Apr 14', '657', '5', '-'], ['Apr 15', '666', '5', '-'], ['Apr 16', '675', '5', '-'], ['Apr 17', '682', '5', '88'], ['Apr 18', '712', '5', '88'], ['Apr 19', '727', '5', '88'], ['Apr 20', '739', '5', '88'], ['Apr 21', '748', '9', '133'], ['Apr 22', '761', '11', '133'], ['Apr 23', '778', '11', '133'], ['Apr 24', '784', '12', '267'], ['Apr 25', '804', '12', '267'], ['Apr 26', '812', '12', '267'], ['Apr 27', '818', '13', '267'], ['Apr 28', '836', '13', '267'], ['Apr 29', '849', '15', '348'], ['Apr 30', '858', '15', '348'], ['May 1', '870', '16', '348'], ['May 2', '871', '16', '348'], ['May 3', '879', '16', '348'], ['May 4', '896', '16', '348'], ['May 5', '896', '17', '348'], ['May 6', '900', '17', '464'], ['May 7', '909', '18', '464'], ['May 8', '928', '18', '464'], ['May 9', '930', '18', '464'], ['May 10', '939', '18', '464'], ['May 11', '946', '18', '464'], ['May 12', '950', '18', '627'], ['May 13', '951', '19', '627'], ['May 14', '962', '19', '627'], ['May 15', '970', '19', '662'], ['May 16', '997', '19', '662'], ['May 17', '1008', '19', '662'], ['May 18', '1009', '19', '662'], ['May 19', '1012', '21', '694'], ['May 20', '1016', '21', '694'], ['May 21', '1025', '22', '694'], ['May 22', '1030', '22', '712'], ['May 23', '1046', '22', '712'], ['May 24', '1047', '22', '712'], ['May 25', '1049', '22', '712'], ['May 26', '1053', '22', '741'], ['May 27', '1057', '23', '741'], ['May 28', '1061', '24', '741'], ['May 29', '1064', '24', '745'], ['May 30', '1065', '24', '745'], ['May 31', '1066', '24', '745'], ['Jun 1', '1066', '24', '745'], ['Jun 2', '1071', '24', '760'], ['Jun 3', '1079', '24', '760'], ['Jun 4', '1082', '25', '760'], ['Jun 5', '1085', '25', '781'], ['Jun 6', '1086', '25', '781'], ['Jun 7', '1088', '25', '781'], ['Jun 8', '1088', '26', '781'], ['Jun 9', '1089', '26', '794'], ['Jun 10', '1092', '26', '794'], ['Jun 11', '1094', '26', '818'], ['Jun 12', '1096', '27', '818'], ['Jun 13', '1097', '28', '845'], ['Jun 14', '1097', '28', '845'], ['Jun 15', '1097', '28', '845'], ['Jun 16', '1098', '28', '875'], ['Jun 17', '1104', '30', '875'], ['Jun 18', '1108', '30', '903'], ['Jun 19', '1110', '30', '903'], ['Jun 20', '1111', '30', '903'], ['Jun 21', '1111', '30', '903'], ['Jun 22', '1111', '30', '903'], ['Jun 23', '1111', '30', '903'], ['Jun 24', '1111', '30', '903'], ['Jun 25', '1111', '30', '903'], ['Jun 26', '1112', '30', '932'], ['Jun 29', '1117', '30', '932'], ['Jun 30', '1118', '30', '974'], ['Jul 1', '1121', '30', '974'], ['Jul 3', '1122', '30', '997'], ['Jul 6', '1127', '30', '1000'], ['Jul 9', '1154', '30', '1019'], ['Jul 13', '1174', '31', '1019'], ['Jul 20', '1192', '31', '1022'], ['Jul 27', '1219', '31', '1045'], ['Aug 3', '1246', '32', '1052'], ['Aug 10', '1290', '32', '1070'], ['Aug 14', '1308', '32', '1078'], ['Aug 24', '1337', '33', '1093'], ['Aug 31', '1396', '34', '1163'], ['Sep 7', '1429', '35', '1187'], ['Oct 12', '2765', '40', '1325'], ['Oct 20', '3609', '46', '1341'], ['Nov 4', '6439', '79', '1444'], ['Nov 12', '9381', '107', '1515'], ['Nov 20', '12102', '146', '1576']] |
Production capacity of propylene worldwide in 2018 and 2030 ( in million metric tons ) | In 12 years , the global production capacity of propylene is expected to expand from 120 million metric tons in 2018 to approximately 160 million metric tons by 2030 , mostly due to propylene production plants expected to open in Asia and the Middle East during that timeframe . | [['Year', 'Production capacity in million metric tons'], ['2030*', '160'], ['2018', '120']] |
Which of the following , if any , describes what you enjoy about watching sports ? | The statistic shows the results of a survey concerned with why people enjoy watching sports in 2014 . 63 percent of the male respondents said that they enjoy watching sports because of the rivalry between teams . | [['Response', 'Total', 'Male', 'Female'], ['Skill involved', '63%', '68%', '58%'], ['Rivalry between teams', '57%', '63%', '51%'], ['Teamwork', '55%', '60%', '48%'], ['Athleticism', '54%', '61%', '46%'], ['Strategy', '51%', '61%', '39%'], ['Competition between individual players', '42%', '49%', '34%'], ['Showing team pride', '41%', '40%', '43%'], ['Social aspect - watching with friends', '38%', '35%', '42%'], ['Family tradition of watching', '31%', '26%', '37%'], ['Speed of play', '31%', '35%', '26%'], ['Camaraderie with others', '28%', '27%', '29%'], ['Other', '4%', '5%', '3%']] |
Does participating in a fantasy football league make you enjoy professional football more , the same , or less ? | The statistic shows the results of a survey concerned with correlation of particpating in a fantasy football league and the enjoyment of fantasy football . The survey revealed that 37 of the respondents enjoyed professional football more after particpating in a fantasy football league . | [['Response', 'Share of respondents'], ['Enjoy more', '37%'], ['Enjoy about the same', '48%'], ['Enjoy less', '13%'], ['Not sure', '2%']] |
Share of leading online retailers offering click-and-collect ordering in the United Kingdom ( UK ) from 2009 to 2013 | This statistic displays the share of leading online retailers in the United Kingdom offering click-and-collect ordering from 2009 to 2013 . In 2013 , 56.5 percent of online ( multichannel ) retailers had this ordering option . | [['Response', 'Share of retailers'], ['2013', '56.5%'], ['2012', '56.7%'], ['2011', '50%'], ['2010', '33%'], ['2009', '36.7%']] |
Number of reported motor vehicle theft cases in the United States from 1990 to 2019 | This graph shows the reported number of motor vehicle theft cases in the United States from 1990 to 2019 . In 2019 , an estimated 721,885 reported motor vehicle theft cases occurred nationwide . | [['Year', 'Number of reported cases'], ['2019', '721885'], ['2018', '751904'], ['2017', '772943'], ['2016', '767290'], ['2015', '713063'], ['2014', '686803'], ['2013', '700288'], ['2012', '723186'], ['2011', '716508'], ['2010', '739565'], ['2009', '795652'], ['2008', '959059'], ['2007', '1100472'], ['2006', '1198245'], ['2005', '1235859'], ['2004', '1237851'], ['2003', '1261226'], ['2002', '1246646'], ['2001', '1226457'], ['2000', '1160002'], ['1999', '1152075'], ['1998', '1242781'], ['1997', '1353700'], ['1996', '1394200'], ['1995', '1472400'], ['1994', '1539300'], ['1993', '1563100'], ['1992', '1610800'], ['1991', '1661700'], ['1990', '1635900']] |
Most-followed artists from the Netherlands on Instagram as of December 2019 | In December 2019 , DJ Martin Garrix had more followers on Instagram than any other artist coming from the Netherlands . The Dutch superstar and the world 's number one DJ in 2016 , 2017 and 2018 , according to DJ Mag , topped a list that mostly consisted of DJs with international fame . These include DJ Tiësto ( in second place ) , Hardwell ( third ) , Afrojack ( fourth ) , Armin van Buuren ( fifth ) , Nicky Romero ( sixth ) , Oliver Heldens ( seventh ) and Fedde Le Grand ( eight ) . Other entries in this list also have worldwide fame : Simone Simons ( tenth ) is the lead singer of metal band Epica with the Dutch lead singer of Finnish metal band Nightwish completing the list on ninth place . This list shows a similar trend to the most popular artists from Belgium on Instagram , which includes the inclusion of Dmitri Vegas & Like Mike ( an act consisting of two Belgians and a Greek ) . | [['artist name', 'Number of followers'], ['martingarrix (Martijn Gerard Garritsen, Martin Garrix)', '17218088'], ['tiesto (Tijs Michiel Verwest, Tiësto)', '6379557'], ['hardwell (Robbert van de Corput, Hardwell)', '5440764'], ['afrojack (Nick van de Wall, Afrojack)', '3847848'], ['arminvanbuuren (Armin van Buuren)', '3057742'], ['nickyromero (Nicky Romero)', '2881665'], ['oliverheldens (Oliver Heldens)', '1506600'], ['feddelegrand (Fedde Le Grand)', '441608'], ['floor_jansen_official (Floor Jansen)', '329685'], ['simonesimons (Simone Simons)', '324276']] |
United States light vehicle sales in 2019 , by type ( in 1,000s ) | Around 12.2 million light trucks were delivered to customers throughout the United States in 2019 . That year , light trucks accounted for more than 70 percent of light vehicle sales in the United States . | [['Vehicle type', 'Number of vehicles produced in thousands'], ['Light trucks', '12237.9'], ['Autos', '4715.0'], ['Light total', '16952.9']] |
Moldova : Distribution of gross domestic product ( GDP ) across economic sectors from 2009 to 2019 | This statistic shows the distribution of gross domestic product ( GDP ) across economic sectors in Moldova from 2009 to 2019 . In 2019 , agriculture contributed around 9.86 percent to the GDP of Moldova , 22.8 percent came from the industry and 54.25 percent from the services sector . | [['Year', 'Agriculture', 'Industry', 'Services'], ['2019', '9.86%', '22.8%', '54.25%'], ['2018', '10.27%', '22.65%', '53.55%'], ['2017', '11.47%', '21.87%', '53.2%'], ['2016', '11.4%', '22.24%', '53.97%'], ['2015', '11.51%', '22.69%', '52.98%'], ['2014', '12.22%', '22.35%', '52.28%'], ['2013', '11.55%', '21.6%', '52.8%'], ['2012', '10.45%', '21.31%', '54.45%'], ['2011', '11.38%', '20.91%', '53.57%'], ['2010', '11.16%', '20.43%', '54.54%'], ['2009', '8.5%', '17.16%', '60.05%']] |
Countries with the worst hotel Wi-Fi quality worldwide as of January 2015 | This statistic shows the ten countries with the worst hotel Wi-Fi quality worldwide as of January 2015 . In Cambodia , only 20.7 percent of hotels offered Wi-Fi that was deemed adequate , making it the country with the worst hotel Wi-Fi quality . | [['Response', 'Share of hotels with adequate Wi-Fi quality'], ['Cambodia', '20.7%'], ['Greece', '20.8%'], ['Indonesia', '21.7%'], ['Philippines', '23.3%'], ['Portugal', '25.8%'], ['Dominican Republic', '28%'], ['France', '29.6%'], ['Spain', '32.1%'], ['Turkey', '32.7%'], ['Malaysia', '34.2%']] |
Pregnancy rates among unmarried women in the United States between 1990 and 2009 , by outcome ( per 1,000 women ) | This statistic shows the pregnancy rates among unmarried women in the United States between 1990 and 2009 , by outcome . In 1990 , around 44 unmarried pregnant woman per one thousand gave birth to a living child . | [['Year', 'Live birth', 'Abortion', 'Fetal loss'], ['1990', '43.8', '47.7', '10.8'], ['2000', '44.1', '34.9', '11.3'], ['2009', '49.9', '28.9', '13.3']] |
Real value added to the Gross Domestic Product ( GDP ) of New Jersey in 2019 , by industry ( in billion chained 2012 U.S. dollars ) | This graph shows the real value added to the Gross Domestic Product ( GDP ) of New Jersey in 2019 , by industry . In 2019 , the mining industry added about 390 million chained 2012 U.S. dollars of value to the state GDP . | [['Industry', 'Real value added in billion chained (2012) U.S. dollars'], ['Finance, insurance, real estate, rental, and leasing', '111.23'], ['Professional and business services', '98.86'], ['Government and government enterprises', '55.52'], ['Educational services, health care, and social assistance', '54.14'], ['Manufacturing', '50.52'], ['Wholesale trade', '46.61'], ['Retail trade', '35.49'], ['Information', '30.3'], ['Transportation and warehousing', '20.42'], ['Construction', '18.14'], ['Arts, entertainment, recreation, accommodation, and food services', '17.4'], ['Utilities', '8.7'], ['Agriculture, forestry, fishing, and hunting', '1.29'], ['Mining, quarrying, and oil and gas extraction', '0.39']] |
Share of data center traffic in 2017 | The statistic shows the share of data center traffic in 2017 . 77 percent of all data traffic took place within the same data center . | [['Response', 'Share of data center traffic'], ['Within data center', '77%'], ['Data center to user', '14%'], ['Data center to data center', '9%']] |
Voting intentions for the Norwegian parliamentary election in November 2020 | What are the current voting intentions for the Norwegian parliamentary election ? The surveys are conducted on a monthly basis by different market research companies in order to determine voting intentions for Norwegian political parties . A selection of Norwegian voters were asked to give their vote as if the elections were taking place today . According to the latest survey conducted by Norstat on November 25 , 2020 , the social democratic party 'Arbeiderpartiet ' would have received 21.2 percent of the votes . The conservative party 'Høyre ' ( 25.2 percent ) , and the agrarian centrist party 'Senterpartiet ' ( 20.2 percent ) ranked second and third respectively . The voting intention results almost reflects the received mandates of the political parties during the Norwegian parliamentary election on September 11 , 2017 - 'Arbeiderpartiet ' ranked highest with 49 seats , followed by 'Høyre ' ( 45 mandates ) and the liberal party 'Fremskrittspartiet ' ( 27 mandates ) . | [['Response', 'Arbeiderpartiet', 'Høyre', 'Senterpartiet', 'Fremskrittspartiet', 'Sosialistisk Venstreparti', 'Rødt', 'Miljøpartiet De Grønne', 'Kristelig Folkeparti', 'Venstre', 'Other'], ['Ipsos (11/20/2020)', '21.5%', '20.4%', '18.6%', '11.9%', '7.4%', '3.1%', '5.3%', '3.4%', '4.6%', '3.8%'], ['Sentio (11/03/2020)', '21.9%', '25%', '16.4%', '13.4%', '7.6%', '3.4%', '3.5%', '4.2%', '3%', '1.7%'], ['Opinion (11/11/2020)', '20.4%', '24.6%', '17.8%', '24.6%', '8.1%', '4.2%', '5%', '4.2%', '3.4%', '1.5%'], ['Norfakta (11/07/2020)', '23.4%', '24.7%', '17.7%', '11.2%', '6.7%', '4.1%', '4%', '3.4%', '2.5%', '2.3%'], ['Kantar TNS (11/08/2020)', '25.4%', '25%', '15%', '9.4%', '7.5%', '4.6%', '5.2%', '4.5%', '2.3%', '1.6%'], ['Norstat (11/25/2020)', '21.2%', '25.2%', '20.2%', '11.6%', '7%', '5%', '3.6%', '2.2%', '2.7%', '1.3%'], ['Respons Analyse (11/02/2020)', '22%', '21.6%', '18.9%', '13.9%', '5.7%', '4.1%', '4.9%', '3.5%', '3.9%', '1.5%']] |
Reasons to stop during road trips in the United States as of May 2014 | This statistic shows the reasons to stop during road trips in the United States as of May 2014 . During the survey , 67 percent of respondents stated that they stopped during a road trip to get food and drinks . | [['Response', 'Share of respondents'], ['To use the bathroom', '77%'], ['To get gas', '74%'], ['To get food or drinks', '67%'], ['To use an ATM', '18%']] |
Value of foreign direct investment in mining and quarrying in Indonesia from 2013 to 2019 ( in million U.S. dollars ) | This statistic shows the value of the foreign direct investment in mining and quarrying in Indonesia from 2013 to 2019 . In 2019 , the foreign direct investment in mining and quarrying in Indonesia amounted to approximately 2.25 billion U.S. dollars . | [['Year', 'Foreign direct investment in million U.S. dollars'], ['2019', '2256.3'], ['2018', '3038.6'], ['2017', '4375.9'], ['2016', '2742.4'], ['2015', '4017.2'], ['2014', '4665.1'], ['2013', '4816.4']] |
Real gross domestic product of the automotive manufacturing industry in Mexico from 1st quarter 2017 to 2nd quarter 2019 ( in billion Mexican pesos ) | The automotive manufacturing industry in Mexico generated a real gross domestic product ( GDP ) of 568.6 billion Mexican pesos in the second quarter of 2019 , based on constant prices ( taking 2013 values as reference ) . In the same quarter of the previous year , the automobile manufacturing sector had contributed with almost 546.6 billion Mexican pesos to Mexico 's real GDP . | [['Quarter', 'Value in billion Mexican pesos'], ['Q2 2019', '568.58'], ['Q1 2019', '549.96'], ['Q4 2018', '547.19'], ['Q3 2018', '557.07'], ['Q2 2018', '546.57'], ['Q1 2018**', '531.27'], ['Q4 2017', '531.07'], ['Q3 2017', '535.22'], ['Q2 2017', '525.57'], ['Q1 2017*', '520.63']] |
Gift , novelty , and souvenir store sales in the United States from 1992 to 2018 ( in billion U.S. dollars ) | This timeline shows gift , novelty , and souvenir store sales in the United States from 1992 to 2018 . In 2018 , U.S. gift , novelty , and souvenir store sales amounted to about 17.83 billion U.S. dollars . | [['Year', 'Retail sales in billion U.S. dollars'], ['2018', '17.83'], ['2017', '16.64'], ['2016', '16.93'], ['2015', '16.8'], ['2014', '16.58'], ['2013', '16.33'], ['2012', '16.05'], ['2011', '15.97'], ['2010', '15.54'], ['2009', '15.08'], ['2008', '16.82'], ['2007', '18.04'], ['2006', '18.5'], ['2005', '17.61'], ['2004', '17.63'], ['2003', '17.69'], ['2002', '18.06'], ['2001', '18.5'], ['2000', '18.91'], ['1999', '18.41'], ['1998', '17.6'], ['1997', '16.33'], ['1996', '15.3'], ['1995', '14.5'], ['1994', '13.91'], ['1993', '12.75'], ['1992', '12.23']] |
Expected decrease in the turnover of car parts distributors due to the coronavirus ( COVID-19 ) outbreak in Poland in March 2020 | In 2020 , due to the situation caused by the global coronavirus pandemic ( COVID-19 ) , most car parts distributors in Poland feel uncertain about the future . Thirty-five percent of distributors expect the company 's turnover to fall by about 20 percent to 40 percent and almost 30 percent to fall by 40 - 60 percent . For further information about the coronavirus ( COVID-19 ) pandemic , please visit our dedicated Facts and Figures page . | [['Response', 'Share of respondents'], ["I don't expect decline", '2%'], ['Up to 10%', '6%'], ['10-20%', '17.3%'], ['20-40%', '35.3%'], ['40-60%', '28.7%'], ['60-80%', '7.3%'], ['More than 80%', '3.3%']] |