title
stringlengths 17
249
| ref
stringlengths 39
2.32k
| content
large_stringlengths 48
84.9k
|
---|---|---|
Number of live births in Russia from 2000 to 2019 ( in 1,000s ) | Over 1.48 million children were born in Russia in 2019 , marking a decrease in live births in recent years . Over the observed period , the figure reached the maximum at roughly two million newborns in 2014 . | [['Year', 'Number of live births in thousands'], ['2019', '1481.07'], ['2018', '1604.3'], ['2017', '1690.3'], ['2016', '1888.7'], ['2015', '1940.6'], ['2014', '1942.7'], ['2013', '1895.8'], ['2012', '1902.1'], ['2011', '1796.6'], ['2010', '1788.9'], ['2005', '1457.4'], ['2000', '1266.8']] |
Share of Indonesian population who wore face masks in public places during COVID-19 outbreak from February to September 2020 | As of September 14 , 2020 , 86 percent of Indonesian respondents stated that they were wearing face masks when in public places during the COVID-19 outbreak , up from 54 percent on Feb 24 , 2020 . Indonesia confirmed its first cases of COVID-19 in March , raising fears that the virus had been spreading undetected in the country for months . For further information about the coronavirus ( COVID-19 ) pandemic , please visit our dedicated Facts and Figures page . | [['Response', 'Share of respondents'], ['Sep 14', '86%'], ['Aug 31', '82%'], ['Aug 17', '82%'], ['Aug 3', '83%'], ['Jul 20', '85%'], ['Jul 6', '85%'], ['Jun 22', '85%'], ['Jun 8', '84%'], ['May 22', '82%'], ['May 4', '84%'], ['Apr 27', '79%'], ['Apr 20', '81%'], ['Apr 13', '79%'], ['Apr 6', '70%'], ['Mar 30', '71%'], ['Mar 23', '59%'], ['Mar 16', '48%'], ['Mar 9', '47%'], ['Mar 2', '61%'], ['Feb 24', '54%']] |
Decline in fuel prices after the coronavirus outbreak in Denmark on selected days from January to April 2020 , by fuel type ( in DKK ) | Diesel and gasoline cost about one Danish kroner less per liter after coronavirus broke out . From the beginning of January to end of April , the prices for the fuel types GoEasy 95 E10 , GoEasy 95 Extra E5 , GoEasy Diesel as well as GoEasy Diesel Extra decreased overall . As of April 6 , 2020 , Diesel prices were between around eight and nine Danish kroner . | [['Month', 'GoEasy 95 E10', 'GoEasy 95 Extra E5', 'GoEasy Diesel', 'GoEasy Diesel Extra'], ['Jan 1', '11.59', '12.18', '10.59', '11.18'], ['Jan 2', '11.69', '12.28', '-', '-'], ['Jan 3', '11.79', '12.38', '10.79', '11.38'], ['Jan 7', '11.69', '12.28', '-', '-'], ['Jan 9', '11.46', '12.38', '10.69', '11.28'], ['Jan 10', '-', '-', '10.59', '11.18'], ['Jan 14', '11.36', '12.28', '10.49', '11.08'], ['Jan 17', '-', '-', '10.29', '10.88'], ['Jan 20', '11.46', '12.38', '-', '-'], ['Jan 21', '11.59', '-', '-', '-'], ['Jan 23', '11.49', '12.28', '10.19', '10.78'], ['Jan 24', '11.39', '12.18', '-', '-'], ['Jan 27', '11.29', '12.08', '9.99', '10.58'], ['Jan 29', '11.19', '11.98', '-', '-'], ['Jan 31', '-', '-', '9.89', '10.48'], ['Feb 4', '10.99', '11.78', '9.69', '10.28'], ['Feb 6', '11.09', '11.88', '9.79', '10.38'], ['Feb 7', '10.99', '11.78', '-', '-'], ['Feb 10', '11.09', '11.88', '-', '-'], ['Feb 12', '10.99', '11.78', '-', '-'], ['Feb 14', '11.09', '11.88', '9.89', '10.48'], ['Feb 18', '11.19', '11.98', '-', '-'], ['Feb 19', '-', '-', '9.79', '10.38'], ['Feb 20', '11.29', '12.08', '9.89', '10.48'], ['Feb 24', '11.19', '11.98', '-', '-'], ['Feb 26', '11.09', '11.88', '9.79', '10.38'], ['Feb 27', '10.99', '11.88', '9.69', '10.28'], ['Feb 28', '10.89', '11.78', '9.59', '10.18'], ['Mar 2', '10.69', '11.58', '9.49', '10.08'], ['Mar 4', '-', '-', '9.59', '10.18'], ['Mar 5', '10.79', '11.68', '-', '-'], ['Mar 6', '10.69', '11.58', '-', '-'], ['Mar 9', '10.39', '11.28', '9.29', '9.88'], ['Mar 10', '10.19', '11.08', '9.09', '9.68'], ['Mar 11', '11.44', '12.32', '10.29', '10.88'], ['Mar 12', '11.29', '12.17', '10.19', '10.78'], ['Mar 13', '11.19', '12.08', '-', '-'], ['Mar 14', '10.99', '11.88', '10.09', '-'], ['Mar 17', '10.79', '11.68', '9.99', '10.68'], ['Mar 18', '10.59', '11.48', '9.89', '10.58'], ['Mar 19', '9.39', '10.28', '8.69', '9.38'], ['Mar 20', '9.29', '10.18', '-', '-'], ['Mar 23', '9.39', '10.28', '8.79', '9.48'], ['Mar 24', '9.19', '10.08', '8.69', '9.38'], ['Mar 25', '9.09', '9.98', '-', '-'], ['Mar 26', '8.99', '9.88', '-', '-'], ['Mar 27', '9.19', '10.08', '-', '-'], ['Mar 30', '9.09', '9.98', '-', '-'], ['Mar 31', '9.19', '10.08', '8.59', '9.28'], ['Apr 1', '8.99', '9.88', '8.39', '9.08'], ['Apr 3', '8.89', '9.78', '8.29', '8.98'], ['Apr 6', '8.99', '9.88', '8.39', '9.08'], ['Apr 7', '8.89', '9.78', '-', '-'], ['Apr 8', '8.99', '9.88', '-', '-']] |
Birth rate in Italy from 2002 to 2019 ( per 1,000 inhabitants ) | Over the past decade , the birth rate in Italy has constantly decreased – in 2019 roughly seven children were estimated to be born per 1,000 inhabitants , about two infants less than in 2002 . The region with the highest birth rate in the country was Torino-South Tyrol , where 8.8 children were born per 1,000 of the population . | [['Year', 'Birth rate per thousand inhabitants'], ['2019', '7.0'], ['2018', '7.3'], ['2017', '7.6'], ['2016', '7.8'], ['2015', '8.0'], ['2014', '8.3'], ['2013', '8.5'], ['2012', '9.0'], ['2011', '9.2'], ['2010', '9.5'], ['2009', '9.6'], ['2008', '9.8'], ['2007', '9.7'], ['2006', '9.6'], ['2005', '9.6'], ['2004', '9.8'], ['2003', '9.5'], ['2002', '9.4']] |
Los Angeles Rams all-time rushing leaders from 1937 to 2020 ( in yards ) | The statistic shows Los Angeles Rams players with the most rushing yards in franchise history . Steven Jackson is the career rushing leader of the Los Angeles Rams with 10,138 yards . | [['American football players', 'Rushing yards'], ['Steven Jackson', '10138'], ['Eric Dickerson', '7245'], ['Marshall Faulk', '6959'], ['Lawrence McCutcheon', '6186'], ['Dick Bass', '5417'], ['Todd Gurley', '5404'], ['Dan Towler', '3493'], ['Les Josephson', '3407'], ['Tank Younger', '3296'], ['Wendell Tyler', '3266'], ['Cullen Bryant', '3119'], ['Jerome Bettis', '3091'], ['Willie Ellison', '2901'], ['Jon Arnett', '2892'], ['Cleveland Gary', '2634'], ['Jim Bertelsen', '2466'], ['Greg Bell', '2375'], ['John Cappelletti', '2246'], ['Charles White', '2133'], ['Tommy Wilson', '2130']] |
Global chemical fiber production from 2000 to 2019 , by fiber type ( in 1,000 metric tons ) | In 2019 , the total global production output of the chemical fiber industry amounted to 80.5 million metric tons . Chemical fibers are made from organic ( `` natural '' ) and synthetic polymers . Chemical fibers are manufactured industrially for various purposes . For example , polypropylene fibers are produced for upholstery textiles . Chemical fibers account for the majority of textile fibers produced worldwide . | [['Year', 'Cellulose fibers', 'Synthetic fibers', 'Total'], ['2000', '2640', '28400', '31040'], ['2010', '4400', '45200', '49600'], ['2011', '4743', '47957', '52700'], ['2012', '5040', '50960', '56000'], ['2013', '5900', '54400', '60300'], ['2014', '6200', '57100', '63300'], ['2015', '6100', '60700', '66800'], ['2016', '6400', '64800', '71200'], ['2017', '6700', '64900', '71600'], ['2018', '6800', '66600', '73400'], ['2019', '7000', '73500', '80500']] |
Monthly percentage change in personal income in the United States from November 2019 to November 2020 | This statistic shows the monthly percentage change in personal income in the United States from November 2019 to November 2020 . The data are in current U.S. dollars , seasonally adjusted at annual rates . According to the BEA , personal income is the income that is received by persons from all sources . It is calculated as the sum of wage and salary disbursements , supplements to wages and salaries , proprietors ' income with inventory valuation and capital consumption adjustments , rental income of persons with capital consumption adjustment , personal dividend income , personal interest income , and personal current transfer receipts , less contributions for government social insurance . Personal income decreased by 1.1 percent in November 2020 when compared to the previous month . | [['Month', 'Monthly percentage of change'], ["Nov '20*", '-1.1%'], ["Oct '20", '-0.6%'], ["Sep '20", '0.8%'], ["Aug '20", '-2.6%'], ["Jul '20", '0.9%'], ["Jun '20", '-1.1%'], ["May '20", '-4.2%'], ["Apr '20", '12.2%'], ["Mar '20", '-1.8%'], ["Feb '20", '0.8%'], ["Jan '20", '0.9%'], ["Dec '19", '0.1%'], ["Nov '19", '0.5%']] |
Albania : Ratio of government expenditure to gross domestic product ( GDP ) from 2015 to 2025 | The statistic shows the ratio of government expenditure to gross domestic product ( GDP ) in Albania from 2015 to 2018 , with projections up until 2025 . In 2018 , government expenditure in Albania amounted to about 28.82 percent of the country 's gross domestic product . | [['Year', 'Ratio of government expenditure to GDP'], ['2025*', '28.72%'], ['2024*', '28.89%'], ['2023*', '29.09%'], ['2022*', '29.67%'], ['2021*', '31.47%'], ['2020*', '32.89%'], ['2019*', '29.38%'], ['2018', '28.82%'], ['2017', '29.15%'], ['2016', '29.14%'], ['2015', '30.38%']] |
Annual consumption volume of tomatoes in Austria from 2008/09 to 2017/18 ( in tonnes ) | This statistic displays the annual consumption volume of tomatoes in Austria from 2008/09 to 2017/18 . In the most recent period in consideration the volume of tomatoes consumed amounted to approximately 256 thousand tonnes . | [['Year', 'Consumption volume in tonnes'], ['2017/18', '255625'], ['2016/17', '255966'], ['2015/16', '251331'], ['2014/15', '240751'], ['2013/14', '252283'], ['2012/13', '237288'], ['2011/12', '234171'], ['2010/11', '228716'], ['2009/10', '212540'], ['2008/09', '211364']] |
China : leading e-commerce platforms as of December 2014 , by monthly unique visitors ( in millions ) | This statistic shows the leading e-commerce platforms in China as of December 2014 . Alibaba ranked first with about 330 million unique visitors monthly . | [['E-commerce platform', 'Monthly unique visitors in millions'], ['Alibaba', '333'], ['JD.com', '203'], ['Wanggou', '94'], ['VIPshop', '78'], ['Paipai', '69'], ['Yihaodian', '63'], ['Amazon', '51'], ['Gome', '50'], ['Dangdang', '49'], ['Jumie', '46']] |
Number of SMS and MMS sent in Germany from 1999 to 2014 ( in millions per day ) | This statistic shows data on the number of SMS and WhatsApp messages sent in Germany per day from 1999 to 2015 . In 2014 , roughly 63 million SMS and 400 million WhatsApp messages were sent in Germany every day . | [['Year', 'SMS', 'WhatsApp'], ['2015*', '39.8', '667'], ['2014', '63.0', '400'], ['2013', '101.3', '133'], ['2012', '162.9', '20'], ['2011', '147.8', '7'], ['2010', '111.3', '1'], ['2009', '92.1', '-'], ['2008', '76.8', '-'], ['2007', '66.3', '-'], ['2006', '61.0', '-'], ['2005', '61.5', '-'], ['2004', '59.7', '-'], ['2003', '57.8', '-'], ['2002', '55.5', '-'], ['2001', '51.5', '-'], ['2000', '34.2', '-'], ['1999', '10.7', '-']] |
Box office revenue of the Transformers movie series in North America and worldwide as of 2019 , by movie ( in million U.S. dollars ) | The statistic presents the box office revenue of the Transformers movie series in North America and worldwide . As of January 2019 , `` Transformers : Age of Extinction '' , the fourth installment in the series , reached a gross of 245.44 million U.S. dollars in 4,233 cinemas across North America . | [['the Transformers movie series', 'North America', 'Worldwide'], ['Transformers: Revenge of the Fallen (2009)', '402.11', '836.3'], ['Transformers: Dark of the Moon (2011)', '352.39', '1123.8'], ['Transformers (2007)', '319.25', '709.7'], ['Transformers: Age of Extinction (2014)', '245.44', '1104.1'], ['Transformers: The Last Knight (2017)', '130.17', '605.4'], ['Bumblebee (2018)', '100.95', '308.77'], ['Transformers: The Movie (1986)', '5.85', '5.8']] |
Retail sales of textiles and clothing in Germany in 2014 , by product category ( in billion euros ) | This statistic shows the retail sales of textiles and clothing in Germany in 2014 , by product category . That year sales of womenswear reached 32.33 billion euros . In total , the German textile and clothing market generated sales of over 62 billion euros . | [['product category', 'Retail sales in billion euros'], ['Womenswear', '32.33'], ['Menswear', '16.33'], ['Home and household textiles', '6.35'], ['Other clothing e.g. sportswear, leatherwear and textiles', '4.74'], ['Baby and kidswear', '2.71']] |
Readiness and willingness to use mobile payment methods in Russia in 2012 | This statistic illustrates the score of Russian consumers on MasterCard 's own Mobile Payment Readiness Index ( MPRI ) . The index covers three varieties of mobile payments : person to person ( P2P ) , mobile e-commerce ( m-commerce ) , and mobile payments at the point of sale ( POS ) , and measures the customers ' willingness and readiness , as well as their actual implementation of these three payment methods . In 2012 , 11 percent of Russian consumers were familiar with mobile payments at the point of sale and 10 percent were willing to try them . | [['Readiness and willingness', 'P2P', 'POS', 'm-commerce'], ['Familiar', '24%', '11%', '16%'], ['Willing', '17%', '10%', '11%'], ['Using', '7%', '1%', '3%']] |
Least trash in landfills per capita in the United States in 2019 , by select state ( in tons ) | This statistic displays the lowest amount of landfill waste per capita in the United States in 2019 , broken down by select state . Connecticut topped the ranking with under nine tons of landfill waste per person . | [['State', 'Landfill waste per person in tons'], ['Connecticut', '8.7'], ['Massachusetts', '16.2'], ['Wyoming', '16.6'], ['Minnesota', '16.7'], ['Idaho', '19.7'], ['North Dakota', '20.3'], ['Maryland', '20.9'], ['South Dakota', '21.4'], ['Vermont', '21.8'], ['Maine', '21.9']] |
Production volume of watermelons in Japan from 2009 to 2017 ( in 1,000 metric tons ) | In 2017 , just over 331 thousand tons of watermelons were produced in Japan , a decrease from almost 390 thousand tons in 2009 . While a variety of watermelons are cultivated in Japan , the best known products include the square-shaped watermelons and the 'Densuke ' watermelons grown in Hokkaido , which are considered luxury commodities . | [['Year', 'Production volume in thousand metric tons'], ['2017*', '331.1'], ['2016', '344.8'], ['2015*', '339.8'], ['2014*', '357.5'], ['2013', '355.3'], ['2012', '370.3'], ['2011', '362.5'], ['2010', '369.2'], ['2009', '389.9']] |
Level of familiarity with PayPal according to online users in the United States as of December 2016 | This statistic gives information on the level of familiarity with PayPal according to online users in the United States as of December 2016 . During the survey period , 99 percent of respondents were aware of the digital payment service and 76 percent used it . | [['Response', 'Share of respondents'], ['Aware (net)', '99%'], ['Used this service', '76%'], ['Heard of this service but never used it', '22%'], ['Never heard of this service', '1%']] |
Production volume of cement in France from 2011 to 2017 ( in 1,000 metric tons ) | This statistic shows the production volume of cement in France from 2011 to 2017 . In 2011 , the cement production in France exceeded 19 million tons , whereas four years later , the production volume of cement dropped to less than 16 million tons . In 2016 , China , India and the United States were the most important cement producers in the world . | [['Year', 'Production in thousand metric tons'], ['2017', '16851'], ['2016', '15934'], ['2015', '15597'], ['2014', '16426'], ['2013', '17469'], ['2012', '18018'], ['2011', '19443']] |
Qatar : Ratio of government expenditure to gross domestic product ( GDP ) from 2015 to 2025 | The statistic shows the ratio of government expenditure to gross domestic product ( GDP ) in Qatar from 2015 to 2019 , with forecasts up to 2025 . In 2019 , government expenditure in Qatar amounted to about 32.56 percent of the country 's gross domestic product . | [['Year', 'Ratio of government expenditure to GDP'], ['2025*', '23.78%'], ['2024*', '24.94%'], ['2023*', '26.62%'], ['2022*', '27.64%'], ['2021*', '30.04%'], ['2020*', '32.33%'], ['2019', '32.56%'], ['2018', '28.9%'], ['2017', '34.66%'], ['2016', '40.14%'], ['2015', '38.56%']] |
Which Discover stories do you usually view on Snapchat ? | This statistic ranks the most popular brands on Snapchat Discover according to U.S. teen and youth Snapchat users . During the February 2016 survey , 54 percent of respondents stated that they viewed BuzzFeed content via Discover on a regular basis . | [['Response', 'Share of respondents'], ['BuzzFeed', '54%'], ['Comedy Central', '44%'], ['iHeart Radio', '32%'], ['Food Network', '31%'], ['ESPN', '27%'], ['People', '25%'], ['Cosmopolitan', '24%'], ['CNN', '24%'], ['National Geographic', '20%'], ['IGN', '16%'], ['Daily Mail', '14%'], ['Sweet', '12%'], ['Vice', '11%'], ['Mashable', '10%'], ['Tastemade', '9%'], ['Vox', '9%'], ['Fusion', '7%'], ['Refinery29', '5%'], ['WSJ', '3%'], ['None', '10%']] |
Charitable contributions to nonprofit funding in the U.S. in 2018 , by type of recipient organizations | This statistic displays charitable contributions to nonprofit funding in the United States , by type of recipient organizations in 2018 . In 2018 , about 4.6 percent of all charitable contributions went to recipient organizations in arts , culture , and humanities . | [['Response', 'Share of charitable contributions'], ['Religion', '29.6%'], ['Education', '13.9%'], ['Human services', '12.2%'], ['Gifts to foundation', '11.9%'], ['Health', '9.7%'], ['Public-society benefit', '7.4%'], ['International affairs', '5.4%'], ['Arts, culture, and humanities', '4.6%'], ['Environment and animals', '3%'], ['Gifts to individuals', '2.2%']] |
Total number of enterprises in the building construction industry in Austria from 2010 to 2015 | This statistic shows the number of enterprises in the building construction industry in Austria from 2010 to 2015 . In 2015 , there were 4,504 enterprises in the building construction industry . | [['Year', 'Number of enterprises'], ['2015', '4504'], ['2014', '4251'], ['2013', '4452'], ['2012', '4155'], ['2011', '4038'], ['2010', '4024']] |
Air travel frequency in the United States as of June 2015 , by ethnicity | This statistic shows the air travel frequency of citizens in the United States as of June 2015 , by ethnicity . During the survey , eight percent of Hispanic respondents labeled themselves as frequent air travelers . | [['Response', 'A frequent air traveler', 'An occasional air traveler', 'Never flown'], ['Caucasian', '7%', '73%', '19%'], ['African American', '6%', '57%', '36%'], ['Hispanic', '8%', '70%', '22%']] |
Do you think the death penalty is morally acceptable or morally wrong ? | This statistic shows the moral stance of Americans regarding the death penalty as a punishment for crime in 2020 . 54 percent of respondents stated that they think the death penalty is morally acceptable , while 40 percent considered it morally wrong . | [['Response', 'Share of respondents'], ['Morally acceptable', '54%'], ['Morally wrong', '40%'], ['Depends on the situation', '5%'], ['No opinion', '1%']] |
UEFA EURO revenue from commercial rights from 1992 to 2016 ( in million euros ) | The statistic shows the revenue of UEFA from commercial rights ( sponsorships , licensing and merchandising ) at the EURO championship from 1992 to 2016 . At the 2008 EURO in Switzerland and Austria , UEFA 's revenue from sponsorship , licensing and merchandising was at 289.8 million euros . | [['Year', 'Revenue in million euros'], ['2016 France', '483.3'], ['2012 Poland & Ukraine', '313.9'], ['2008 Switzerland & Austria', '289.8'], ['2004 Portugal', '182.2'], ['2000 Belgium & the Netherlands', '54.1'], ['1996 England', '29.3'], ['1992 Sweden', '9.7']] |
Harley-Davidson 's worldwide revenue between January and June of 2019 and 2020 ( in billion U.S. dollars ) | Harley-Davidson 's global mid-year revenue fell by around 40 percent between the first six months of 2020 , compared with the same period one year earlier . H-D generated around 2.16 billion U.S. dollars in revenue between January and June 2020 , some 394 million U.S. dollars of which was generated from financial services . In the first half of 2020 , revenue generated from motorcycle sales more than halved from the previous year to around 1.3 billion U.S. dollars . The U.S. was the most important regional market for Harley-Davidson in 2019 with almost 126,000 unit sales . | [['first six months of year', 'Motorcycles and related products', 'Financial services'], ['H1 2020', '1.77', '0.39'], ['H1 2019', '2.63', '0.39']] |
Population of the Chicago-Naperville-Elgin metro area in the United States from 2010 to 2019 | This statistic shows the population of the Chicago-Naperville-Elgin metropolitan area in the United States from 2010 to 2019 . In 2019 , about 9.46 million people lived in the Chicago-Naperville-Elgin metropolitan area . | [['Year', 'Number of residents'], ['2010', '9470634'], ['2011', '9500870'], ['2012', '9528090'], ['2013', '9550194'], ['2014', '9560430'], ['2015', '9552554'], ['2016', '9533662'], ['2017', '9514113'], ['2018', '9484158'], ['2019', '9458539']] |
Number of outdoor power equipment stores in Canada as of December 2019 , by region | This statistic shows the number of outdoor power equipment stores in Canada as of December 2019 , by region . There were 82 outdoor power equipment stores in the province of Ontario as of December 2019 . | [['province of Canada', 'Number of stores'], ['Ontario', '82'], ['Quebec', '60'], ['Alberta', '40'], ['British Columbia', '35'], ['New Brunswick', '15'], ['Nova Scotia', '12'], ['Manitoba', '8'], ['Saskatchewan', '7'], ['Newfoundland and Labrador', '3'], ['Prince Edward Island', '3']] |
Value of fresh or chilled carrots , turnips and salad beetroot imported to the United Kingdom ( UK ) from 2001 to 2019 ( in 1,000 GBP ) | This statistic presents the value of fresh or chilled carrots , turnips , salad beetroot , salsify , celeriac , radishes and similar edible roots imported to the United Kingdom ( UK ) annually from 2001 to 2019 , in thousand British pounds . Imports of fresh or chilled carrots , turnips and salad beetroot were valued at approximately 53 million British pounds in 2019 . | [['Year', 'Import value in thousand GBP'], ['2019', '53139'], ['2018', '59873'], ['2017', '57306'], ['2016', '68714'], ['2015', '51891'], ['2014', '44761'], ['2013', '60330'], ['2012', '48405'], ['2011', '50384'], ['2010', '43795'], ['2009', '56677'], ['2008', '56213'], ['2007', '47237'], ['2006', '47059'], ['2005', '47544'], ['2004', '36853'], ['2003', '35411'], ['2002', '39278'], ['2001', '45151']] |
Profits of HSBC from 2007 to 2019 ( in billion U.S. dollars ) | HSBC posted a profit of 8.7 billion U.S. dollars in 2019 , down from 15 billion U.S. dollars in 2018 . In the same time period , operating income of the bank increased from 63.6 billion U.S. dollars to 71 billion U.S. dollars . | [['Year', 'Profits in billion U.S. dollars'], ['2019', '8.71'], ['2018', '15.03'], ['2017', '11.88'], ['2016', '3.45'], ['2015', '15.1'], ['2014', '14.71'], ['2013', '17.8'], ['2012', '15.33'], ['2011', '17.94'], ['2010', '14.19'], ['2009', '6.69'], ['2008', '6.5'], ['2007', '20.46']] |
Cost of rent of selected retail streets in Australia and New Zealand in 2014 ( in U.S. dollars per square foot ) | The statistic shows the cost of rent of selected retail streets in Australia and New Zealand in 2014 . In that year , the cost of rent to own retail in Pitt Street Mall ( Sydney , Australia ) was about 732 U.S. dollars per square foot . | [['City (Street)', 'U.S. dollars per square foot'], ['Sydney (Pitt Street Mall)', '732'], ['Melbourne (Bourke Street Mall)', '646'], ['Brisbane (Brisbane Mall)', '422'], ['Brisbane (Queen Street Mall)', '280'], ['Adelaide (Rundle Street Mall)', '256'], ['Perth (Hay Street & Murray Street Malls)', '227'], ['Auckland (Queen Street)', '202'], ['Wellington (Lambton Quay)', '141']] |
Results of the presidential election in Belarus on August 9 , 2020 | In the presidential election on August 9 , 2020 , 80.1 percent of voters in Belarus cast their ballots for the incumbent president Alexander Lukashenko , according to the country 's Central Election Committee 's data . Every tenth citizen voted for Sviatlana Tsikhanouskaya who represented the opposition . Mass protests in the country followed the election , disagreeing with the official results . | [['Response', 'Share of votes'], ['Alexander Lukashenko', '80.1%'], ['Sviatlana Tsikhanouskaya', '10.1%'], ['Against all', '4.59%'], ['Hanna Kanapatskaya', '1.67%'], ['Andrey Dmitriev', '1.21%'], ['Siarhei Cherachen', '1.14%']] |
Freelance workers in the United States in 2019 , by level of education | This statistic shows the freelance workers and the overall working population in the United States in 2019 , by attained level of education . In 2019 , 24 percent of freelancers had a Bachelor 's degree in the U.S . | [['level of education', 'Freelancers', 'U.S. workers overall'], ['Post graduate', '16%', '14%'], ["Bachelor's degree", '24%', '25%'], ['Some college or Associate degree', '26%', '26%'], ['High school graduate or less', '34%', '34%']] |
Traffic growth on Pornhub during the coronavirus ( COVID-19 ) pandemic in Central and Eastern Europe as of April 28 , 2020 , by country | As more people stayed at home during the coronavirus ( COVID-19 ) pandemic , Pornhub made its premium content free and saw an increase in traffic in April 2020 . Russia saw the highest traffic growth among Central and Eastern European countries , measuring at over 20.8 percent as of April 28 , 2020 compared to an average day prior to the outbreak . However , the traffic growth rate saw a significant decline relative to the end of March 2020 . For further information about the coronavirus ( COVID-19 ) pandemic , please visit our dedicated Facts and Figures page . | [['Country', 'Traffic growth'], ['Russia', '20.8%'], ['Hungary', '17.2%'], ['Romania', '15.4%'], ['Poland', '9.2%']] |
How concerned are you with each of the following ? | This statistic presents the financial concerns among parents in the United States as of January 2015 , by degree of concern . The survey results revealed that 31 percent of the U.S. parents were extremely concerned over saving enough to be able to retire . | [['Response', 'Extremely', 'Very', 'Somewhat', 'Not Very', 'Not at All'], ['Saving enough to be able to retire', '31%', '31%', '27%', '7%', '4%'], ['Rising costs of health care', '28%', '33%', '28%', '7%', '4%'], ["Saving for my kids' college education", '25%', '33%', '27%', '9%', '6%'], ['Saving for emergencies', '24%', '33%', '31%', '8%', '4%'], ['Financial account security', '23%', '32%', '30%', '10%', '5%'], ['Being able to pay bills month to month', '26%', '26%', '22%', '16%', '10%'], ['Taking on too much debt', '23%', '28%', '24%', '16%', '9%'], ['Supporting other adult family members', '12%', '21%', '29%', '21%', '17%'], ['Natural Disaster', '14%', '16%', '33%', '26%', '11%']] |
Total number of employees of the Kohl 's Corporation from 2012 to 2019 ( in thousands ) | This timeline depicts the total number of employees of the Kohl 's Corporation from 2012 to 2019 . In 2019 , the Kohl 's Corporation employed 122,000 associates . | [['Year', 'Number of employees in thousands'], ['2019', '122'], ['2018', '129'], ['2017', '137'], ['2016', '138'], ['2015', '140'], ['2014', '137'], ['2013', '137'], ['2012', '135']] |
Annual pet food expenditure per consumer unit in the U.S. from 2008 to 2016 ( in U.S. dollars ) | This statistic shows annual expenditure per consumer unit on pet food in the United States from 2008 to 2016 . In 2016 , U.S. consumers spent over 204.71 U.S. dollars on average on pet food . | [['Year', 'Expenditure in U.S. dollars'], ['2016', '204.71'], ['2015', '230.06'], ['2014', '189.91'], ['2013', '182.81'], ['2012', '194.7'], ['2011', '182.75'], ['2010', '165.2'], ['2009', '168.92'], ['2008', '163.13']] |
Gender distribution of air passengers in the United Kingdom ( UK ) in 2019 , by airport | This statistic shows the gender distribution of passengers at airports in the United Kingdom ( UK ) in 2019 . Regarding the three airports in London , Heathrow was the only airport with a noticeable difference in the gender of its passengers . Other London airports had reported an equal share of both genders . Manchester airport also reported unequal gender distribution , however , with a smaller variation in comparison with Heathrow . | [['international airport', 'Male', 'Female'], ['Heathrow', '53%', '47%'], ['Gatwick', '51%', '49%'], ['Stansted', '53%', '47%'], ['Luton', '51%', '49%'], ['Manchester', '52%', '48%']] |
Monthly BMW car market share in the United Kingdom ( UK ) from January 2015 to December 2020 | In December 2020 , BMW 's market share stood at around 7.77 percent . Customers in the United Kingdom bought about 10,300 BMW-branded cars in December 2020 , a decline of over one quarter compared with the previous year . Generally , UK car registrations have been following a downward trend since 2016 . | [['Month', 'Market share'], ['Dec 20', '7.77%'], ['Nov 20', '8.55%'], ['Oct 20', '7.68%'], ['Sep 20', '6.47%'], ['Aug 20', '6.14%'], ['Jul 20', '6.54%'], ['Jun 20', '7.32%'], ['May 20', '7.27%'], ['Apr 20', '4.88%'], ['Mar 20', '6.88%'], ['Feb 20', '8.36%'], ['Jan 20', '6.75%'], ['Dec 19', '9.47%'], ['Nov 19', '7.43%'], ['Oct 19', '8.44%'], ['Sep 19', '8.11%'], ['Aug 19', '5.24%'], ['Jul 19', '5.85%'], ['Jun 19', '8.94%'], ['May 19', '6.76%'], ['Apr 19', '6.75%'], ['Mar 19', '6.62%'], ['Feb 19', '8.38%'], ['Jan 19', '5.93%'], ['Dec 18', '8.05%'], ['Nov 18', '8.08%'], ['Oct 18', '7.37%'], ['Sep 18', '8.25%'], ['Aug 18', '6.37%'], ['Jul 18', '6.09%'], ['Jun 18', '9.78%'], ['May 18', '6.72%'], ['Apr 18', '5.41%'], ['Mar 18', '6.68%'], ['Feb 18', '8.35%'], ['Jan 18', '5.5%'], ['Dec 17', '8.84%'], ['Nov 17', '7.82%'], ['Oct 17', '6.99%'], ['Sep 17', '7.38%'], ['Aug 17', '6.03%'], ['Jul 17', '5.61%'], ['Jun 17', '7.87%'], ['May 17', '6.83%'], ['Apr 17', '7.42%'], ['Mar 17', '6.2%'], ['Feb 17', '7.36%'], ['Jan 17', '4.86%'], ['Dec 16', '8.46%'], ['Nov 16', '8.33%'], ['Oct 16', '7.52%'], ['Sep 16', '6.94%'], ['Aug 16', '5.82%'], ['Jul 16', '5.43%'], ['Jun 16', '7.32%'], ['May 16', '7.58%'], ['Apr 16', '5.79%'], ['Mar 16', '6.26%'], ['Feb 16', '6.91%'], ['Jan 16', '4.87%'], ['Dec 15', '9.54%'], ['Nov 15', '6.69%'], ['Oct 15', '7.85%'], ['Sep 15', '6.42%'], ['Aug 15', '6.13%'], ['Jul 15', '5.26%'], ['Jun 15', '6.69%'], ['May 15', '6.14%'], ['Apr 15', '5.86%'], ['Mar 15', '5.46%'], ['Feb 15', '6.62%'], ['Jan 15', '4.86%']] |
Proportion of adults in the U.S. who would get a coronavirus vaccine if it became available from January to October 2020 | As of October 2020 , around 25 percent of U.S. adults stated they would not get a vaccine that protects against the coronavirus if one becomes available . This statistic depicts the proportion of U.S. adults who would get a coronavirus vaccine if it became available from January to October , 2020 . | [['Month', 'Yes', 'No', "Don't know/no opinion"], ['Jan. 2020', '48%', '18%', '34%'], ['Mar. 2020', '69%', '11%', '20%'], ['Apr. 2020', '69%', '14%', '17%'], ['Jun. 2020', '63%', '17%', '20%'], ['Sep. 2020', '51%', '24%', '25%'], ['Oct. 2020', '51%', '25%', '24%']] |
Mobile communication preference of internet users in the United States as of August 2017 , by gender | This statistic ranks the most common mobile communication preference of internet users in the United States as of August 2017 , sorted by gender . During the survey period , 62 percent of female respondents stated that they preferred to communicate with others using text . Only 38 percent of male respondents stated the same . | [['Response', 'Male', 'Female'], ['Text', '38%', '62%'], ['Voice', '45%', '29%'], ['Video', '6%', '2%'], ["Don't know/no opinion", '11%', '7%']] |
Monthly Federal funds effective rate in the United States from January 2000 to December 2020 | The U.S. federal funds effective rate amounted to 0.09 percent in December 2020 , down from 1.58 percent in February . This rate determines the interest rate paid by depository institutions , such as banks and credit unions , who lend reserve balances to other depository institutions overnight . The Federal Reserve dropped the rate in response to the COVID-19 pandemic . | [['Year', 'Effective rate'], ['12/1/2020', '0.09%'], ['11/1/2020', '0.09%'], ['10/1/2020', '0.09%'], ['9/1/2020', '0.09%'], ['8/1/2020', '0.1%'], ['7/1/2020', '0.09%'], ['6/1/2020', '0.08%'], ['5/1/2020', '0.05%'], ['4/1/2020', '0.05%'], ['3/1/2020', '0.65%'], ['2/1/2020', '1.58%'], ['1/1/2020', '1.55%'], ['12/1/2019', '1.55%'], ['11/1/2019', '1.55%'], ['10/1/2019', '1.83%'], ['9/1/2019', '2.04%'], ['8/1/2019', '2.13%'], ['7/1/2019', '2.4%'], ['6/1/2019', '2.38%'], ['5/1/2019', '2.39%'], ['4/1/2019', '2.42%'], ['3/1/2019', '2.41%'], ['2/1/2019', '2.4%'], ['1/1/2019', '2.4%'], ['12/1/2018', '2.27%'], ['11/1/2018', '2.2%'], ['10/1/2018', '2.19%'], ['9/1/2018', '1.95%'], ['8/1/2018', '1.91%'], ['7/1/2018', '1.91%'], ['6/1/2018', '1.82%'], ['5/1/2018', '1.7%'], ['4/1/2018', '1.69%'], ['3/1/2018', '1.51%'], ['2/1/2018', '1.42%'], ['1/1/2018', '1.41%'], ['12/1/2017', '1.3%'], ['11/1/2017', '1.16%'], ['10/1/2017', '1.15%'], ['9/1/2017', '1.15%'], ['8/1/2017', '1.16%'], ['7/1/2017', '1.15%'], ['6/1/2017', '1.04%'], ['5/1/2017', '0.91%'], ['4/1/2017', '0.9%'], ['3/1/2017', '0.79%'], ['2/1/2017', '0.66%'], ['1/1/2017', '0.65%'], ['12/1/2016', '0.54%'], ['11/1/2016', '0.41%'], ['10/1/2016', '0.4%'], ['9/1/2016', '0.4%'], ['8/1/2016', '0.4%'], ['7/1/2016', '0.39%'], ['6/1/2016', '0.38%'], ['5/1/2016', '0.37%'], ['4/1/2016', '0.37%'], ['3/1/2016', '0.36%'], ['2/1/2016', '0.38%'], ['1/1/2016', '0.34%'], ['12/1/2015', '0.24%'], ['11/1/2015', '0.12%'], ['10/1/2015', '0.12%'], ['9/1/2015', '0.14%'], ['8/1/2015', '0.14%'], ['7/1/2015', '0.13%'], ['6/1/2015', '0.13%'], ['5/1/2015', '0.12%'], ['4/1/2015', '0.12%'], ['3/1/2015', '0.11%'], ['2/1/2015', '0.11%'], ['1/1/2015', '0.11%'], ['12/1/2014', '0.12%'], ['11/1/2014', '0.09%'], ['10/1/2014', '0.09%'], ['9/1/2014', '0.09%'], ['8/1/2014', '0.09%'], ['7/1/2014', '0.09%'], ['6/1/2014', '0.1%'], ['5/1/2014', '0.09%'], ['4/1/2014', '0.09%'], ['3/1/2014', '0.08%'], ['2/1/2014', '0.07%'], ['1/1/2014', '0.07%'], ['12/1/2013', '0.09%'], ['11/1/2013', '0.08%'], ['10/1/2013', '0.09%'], ['9/1/2013', '0.08%'], ['8/1/2013', '0.08%'], ['7/1/2013', '0.09%'], ['6/1/2013', '0.09%'], ['5/1/2013', '0.11%'], ['4/1/2013', '0.15%'], ['3/1/2013', '0.14%'], ['2/1/2013', '0.15%'], ['1/1/2013', '0.14%'], ['12/1/2012', '0.16%'], ['11/1/2012', '0.16%'], ['10/1/2012', '0.16%'], ['9/1/2012', '0.14%'], ['8/1/2012', '0.13%'], ['7/1/2012', '0.16%'], ['6/1/2012', '0.16%'], ['5/1/2012', '0.16%'], ['4/1/2012', '0.14%'], ['3/1/2012', '0.13%'], ['2/1/2012', '0.1%'], ['1/1/2012', '0.08%'], ['12/1/2011', '0.07%'], ['11/1/2011', '0.08%'], ['10/1/2011', '0.07%'], ['9/1/2011', '0.08%'], ['8/1/2011', '0.1%'], ['7/1/2011', '0.07%'], ['6/1/2011', '0.09%'], ['5/1/2011', '0.09%'], ['4/1/2011', '0.1%'], ['3/1/2011', '0.14%'], ['2/1/2011', '0.16%'], ['1/1/2011', '0.17%'], ['12/1/2010', '0.18%'], ['11/1/2010', '0.19%'], ['10/1/2010', '0.19%'], ['9/1/2010', '0.19%'], ['8/1/2010', '0.19%'], ['7/1/2010', '0.18%'], ['6/1/2010', '0.18%'], ['5/1/2010', '0.2%'], ['4/1/2010', '0.2%'], ['3/1/2010', '0.16%'], ['2/1/2010', '0.13%'], ['1/1/2010', '0.11%'], ['12/1/2009', '0.12%'], ['11/1/2009', '0.12%'], ['10/1/2009', '0.12%'], ['9/1/2009', '0.15%'], ['8/1/2009', '0.16%'], ['7/1/2009', '0.16%'], ['6/1/2009', '0.21%'], ['5/1/2009', '0.18%'], ['4/1/2009', '0.15%'], ['3/1/2009', '0.18%'], ['2/1/2009', '0.22%'], ['1/1/2009', '0.15%'], ['12/1/2008', '0.16%'], ['11/1/2008', '0.39%'], ['10/1/2008', '0.97%'], ['9/1/2008', '1.81%'], ['8/1/2008', '2%'], ['7/1/2008', '2.01%'], ['6/1/2008', '2%'], ['5/1/2008', '1.98%'], ['4/1/2008', '2.28%'], ['3/1/2008', '2.61%'], ['2/1/2008', '2.98%'], ['1/1/2008', '3.94%'], ['12/1/2007', '4.24%'], ['11/1/2007', '4.49%'], ['10/1/2007', '4.76%'], ['9/1/2007', '4.94%'], ['8/1/2007', '5.02%'], ['7/1/2007', '5.26%'], ['6/1/2007', '5.25%'], ['5/1/2007', '5.25%'], ['4/1/2007', '5.25%'], ['3/1/2007', '5.26%'], ['2/1/2007', '5.26%'], ['1/1/2007', '5.25%'], ['12/1/2006', '5.24%'], ['11/1/2006', '5.25%'], ['10/1/2006', '5.25%'], ['9/1/2006', '5.25%'], ['8/1/2006', '5.25%'], ['7/1/2006', '5.24%'], ['6/1/2006', '4.99%'], ['5/1/2006', '4.94%'], ['4/1/2006', '4.79%'], ['3/1/2006', '4.59%'], ['2/1/2006', '4.49%'], ['1/1/2006', '4.29%'], ['12/1/2005', '4.16%'], ['11/1/2005', '4%'], ['10/1/2005', '3.78%'], ['9/1/2005', '3.62%'], ['8/1/2005', '3.5%'], ['7/1/2005', '3.26%'], ['6/1/2005', '3.04%'], ['5/1/2005', '3%'], ['4/1/2005', '2.79%'], ['3/1/2005', '2.63%'], ['2/1/2005', '2.5%'], ['1/1/2005', '2.28%'], ['12/1/2004', '2.16%'], ['11/1/2004', '1.93%'], ['10/1/2004', '1.76%'], ['9/1/2004', '1.61%'], ['8/1/2004', '1.43%'], ['7/1/2004', '1.26%'], ['6/1/2004', '1.03%'], ['5/1/2004', '1%'], ['4/1/2004', '1%'], ['3/1/2004', '1%'], ['2/1/2004', '1.01%'], ['1/1/2004', '1%'], ['12/1/2003', '0.98%'], ['11/1/2003', '1%'], ['10/1/2003', '1.01%'], ['9/1/2003', '1.01%'], ['8/1/2003', '1.03%'], ['7/1/2003', '1.01%'], ['6/1/2003', '1.22%'], ['5/1/2003', '1.26%'], ['4/1/2003', '1.26%'], ['3/1/2003', '1.25%'], ['2/1/2003', '1.26%'], ['1/1/2003', '1.24%'], ['12/1/2002', '1.24%'], ['11/1/2002', '1.34%'], ['10/1/2002', '1.75%'], ['9/1/2002', '1.75%'], ['8/1/2002', '1.74%'], ['7/1/2002', '1.73%'], ['6/1/2002', '1.75%'], ['5/1/2002', '1.75%'], ['4/1/2002', '1.75%'], ['3/1/2002', '1.73%'], ['2/1/2002', '1.74%'], ['1/1/2002', '1.73%'], ['12/1/2001', '1.82%'], ['11/1/2001', '2.09%'], ['10/1/2001', '2.49%'], ['9/1/2001', '3.07%'], ['8/1/2001', '3.65%'], ['7/1/2001', '3.77%'], ['6/1/2001', '3.97%'], ['5/1/2001', '4.21%'], ['4/1/2001', '4.8%'], ['3/1/2001', '5.31%'], ['2/1/2001', '5.49%'], ['1/1/2001', '5.98%'], ['12/1/2000', '6.4%'], ['11/1/2000', '6.51%'], ['10/1/2000', '6.51%'], ['9/1/2000', '6.52%'], ['8/1/2000', '6.5%'], ['7/1/2000', '6.54%'], ['6/1/2000', '6.53%'], ['5/1/2000', '6.27%'], ['4/1/2000', '6.02%'], ['3/1/2000', '5.85%'], ['2/1/2000', '5.73%'], ['1/1/2000', '5.45%']] |
Number of visits to public libraries in the United Kingdom ( UK ) from 2002/03 to 2013/14 ( visits in millions ) | This statistic displays the number of public library visits made in the United Kingdom from 2002/03 to 2013/14 . In 2013/14 , 282 million library visits were made , down from 288 million visits in 2012/13 . | [['Year', 'Visits in millions'], ['2013/14', '282.33'], ['2012/13', '288.04'], ['2011/12', '306.59'], ['2010/11', '313.99'], ['2009/10', '322.11'], ['2008/09', '324.99'], ['2007/08', '328.49'], ['2006/07', '337.32'], ['2005/06', '342.17'], ['2004/05', '339.71'], ['2003/04', '336.95'], ['2002/03', '323.04']] |
Leading supplier countries of pharmaceuticals to Germany in 2019 ( in billion euros ) | This statistic displays the leading countries supplying pharmaceuticals to Germany in 2019 , by country . In that year , the leading pharmaceutical supplier to Germany was Switzerland with an import value of approximately 12 billion euros . | [['Country', 'Import value in billion euros'], ['Switzerland', '11.87'], ['United States', '8.36'], ['Netherlands', '7.66'], ['Ireland', '4.49'], ['France', '3.33'], ['Great Britain', '2.88'], ['Italy', '2.85'], ['Belgium', '2.25'], ['Singapore', '1.72'], ['Spain', '1.6'], ['Other', '10.99']] |
Canadian Pacific Railway 's total revenue from FY 2011 to FY 2019 ( in million Canadian dollars ) | This statistic illustrates the total revenue generated by Canadian Pacific Railway from the fiscal year of 2011 through the fiscal year of 2019 . In the fiscal year of 2019 , the Canadian railroad company generated just under 7.8 billion Canadian dollars in revenue . | [['Year', 'Total revenue in million Canadian dollars'], ['2019', '7792'], ['2018', '7316'], ['2017', '6554'], ['2016', '6232'], ['2015', '6712'], ['2014', '6620'], ['2013', '6133'], ['2012', '5695'], ['2011', '5177']] |
Exit polls of the 2016 New Hampshire Democratic primary in the United States on February 9 , 2016 , share of votes by age | This statistic shows how well each Democratic candidate performed in the New Hampshire primary between cohorts of voters segregated by their age bracket , according to data collected on 9 February 2016 . Bernie Sanders had a significant share of the vote , 83 % , among voters in the 18 - 29 years old age bracket . | [['Age in years, share of total votes in brackets', 'Hillary Clinton', 'Bernie Sanders'], ['18-29 (19%)', '16%', '83%'], ['30-44 (22%)', '32%', '66%'], ['45-64 (42%)', '45%', '54%'], ['65 and over (18%)', '54%', '45%']] |
Compound annual growth rate of the fastest growing media and marketing companies in Canada between 2013 and 2018 | Between 2014 and 2018 , the fastest growing media and marketing company in Canada ranked by their compound annual revenue growth was SendtoNews - a sports video and advertising distribution platform operator , with a compound annual revenue growth rate of 13.89 thousand percent . Second was Cluep with a CAGR of 11.43 thousand percent throughout that four year period . | [['Media and Marketing Company', 'Compound annual revenue growth rate'], ['SendtoNews', '13,898%'], ['Cluep', '11,433%'], ['Hotspex Media Division', '2,921%'], ['3RA Intercamblo', '2,758%'], ['Daily Hive', '1,952%'], ['Dialekta', '1,936%'], ['Glacier', '1,829%'], ['CyberPublicity', '1,552%'], ['Squeeze Studio Animation', '1,545%'], ['Promotional Drives', '1,361%']] |
Total value of deals in the mining and metals sector worldwide from 2000 to 2018 ( in billion U.S. dollars ) | This statistic depicts the total value of the merger and acquisition deals in the mining and metals sector worldwide from 2000 to 2018 . In 2018 , merger and acquisition deals in the minerals and mining sector worldwide had a total value of some 77.8 billion U.S. dollars . | [['Year', 'Total value in billion U.S. dollars'], ['2018', '77.8'], ['2017', '51.0'], ['2016', '44.3'], ['2015**', '40.0'], ['2014', '44.64'], ['2013*', '87.31'], ['2012', '104.01'], ['2011', '162.44'], ['2010', '113.71'], ['2009', '60.04'], ['2008', '126.88'], ['2007', '210.85'], ['2006', '175.71'], ['2005', '65.43'], ['2004', '26.35'], ['2003', '46.18'], ['2002', '56.35'], ['2001', '66.75'], ['2000', '38.75']] |
Number of new passenger cars registered in Finland from 2015 to 2019 , by fuel type | In recent years , the registrations of new diesel-fueled passenger cars decreased significantly in Finland . While in 2015 roughly 38.8 thousand new diesel cars were registered , the figure from 2019 was nearly 17 thousand less . Hybrid cars and cars using alternative fuel types , such as electricity and natural gas showed an opposite trend in the registration numbers . | [['Fuel type', '2015', '2016', '2017', '2018', '2019'], ['Petrol', '69069', '77926', '79034', '84700', '82333'], ['Diesel', '38829', '39463', '36064', '28936', '21863'], ['Electric', '243', '223', '502', '776', '1897'], ['Petrol/electric', '400', '1116', '2401', '4797', '5808'], ['Petrol/CNG', '140', '127', '368', '979', '7'], ['Petrol/ethanol', '105', '14', '1', '-', '-'], ['Natural gas', '-', '-', '65', '182', '2135'], ['Diesel/electric', '15', '93', '152', '135', '159']] |
Global industry sectors most targeted by cyber espionage in 2019 | This statistic presents information on the global industry sectors most targeted by cyber espionage in 2019 . That year , the manufacturing sector ranked first with 75 cyber espionage incidents occurring within the industry . | [['industry sector', 'Incident count'], ['Manufacturing', '75'], ['Professional', '40'], ['Public', '26'], ['Information', '11'], ['Mining & Utilities', '6'], ['Administrative', '3'], ['Finance', '3'], ['Education', '2'], ['Real estate', '2'], ['Transportation', '2'], ['Other services', '1'], ['Healthcare', '1'], ['Accomodation', '1'], ['Retail', '1'], ['Construction', '0'], ['Entertainment', '0']] |
Syria : Growth rate of the real gross domestic product ( GDP ) from 2000 to 2010 ( compared to the previous year ) | The statistic shows the growth in real GDP in Syria from between 2000 to 2010 . In 2010 , Syria 's real gross domestic product grew by around 3.44 percent compared to the previous year . | [['Year', 'GDP growth compared to previous year'], ['2010', '3.44%'], ['2009', '5.91%'], ['2008', '4.48%'], ['2007', '5.68%'], ['2006', '5.05%'], ['2005', '6.22%'], ['2004', '6.9%'], ['2003', '-2.04%'], ['2002', '5.9%'], ['2001', '3.68%'], ['2000', '2.3%']] |
Percentage of white , non-Hispanic married-couple families in the U.S. who live below the poverty level from 1990 to 2019 | In 2019 , 2.7 percent of white , non-Hispanic married-couple families lived below the poverty level in the United States . Poverty is the state of one who lacks a certain amount of material possessions or money . Absolute poverty or destitution is inability to afford basic human needs , which commonly includes clean and fresh water , nutrition , health care , education , clothing , and shelter . | [['Year', 'Poverty rate of white married-couple families'], ['2019', '2.7%'], ['2018', '3.3%'], ['2017', '3.5%'], ['2016', '3.5%'], ['2015', '3.5%'], ['2014', '4.2%'], ['2013', '3.8%'], ['2012', '4%'], ['2011', '4.1%'], ['2010', '4.1%'], ['2009', '3.9%'], ['2008', '3.5%'], ['2007', '3.2%'], ['2006', '3.2%'], ['2005', '3.3%'], ['2004', '3.9%'], ['2003', '3.6%'], ['2002', '3.7%'], ['2001', '3.3%'], ['2000', '3.2%'], ['1999', '3.3%'], ['1998', '3.8%'], ['1997', '3.5%'], ['1996', '3.8%'], ['1995', '3.8%'], ['1994', '4.3%'], ['1993', '4.7%'], ['1992', '4.5%'], ['1991', '4.4%'], ['1990', '4.1%']] |
Number of runways at selected airports in the United Kingdom ( UK ) as of 2013 | This statistic shows the number of runways in United Kingdom ( UK ) airports as of 2013 . London Heathrow , Manchester Airport and Edinburgh Airport made up the top 3 and all had 2 runways . | [['international airport', 'Number of runways'], ['London Heathrow', '2'], ['Manchester Airport', '2'], ['Edinburgh Airport', '2'], ['Belfast Airport', '2'], ['London Gatwick', '1'], ['London Stansted', '1'], ['London Luton', '1'], ['Birmingham Airport', '1'], ['Glasgow Airport', '1'], ['Bristol Airport', '1'], ['Newcastle Airport', '1'], ['Liverpool Airport', '1'], ['London City', '1'], ['Leeds Airport', '1'], ['Aberdeen Airport', '1'], ['Cardiff Airport', '1']] |
Seattle Mariners all-time home run leaders as of October 2020 | This statistic shows the Seattle Mariners all-time home run leaders as of October 2020 . Ken Griffey Jr. has hit the most home runs in Seattle Mariners franchise history with 417 home runs . | [['player', 'Number of home runs'], ['Ken Griffey Jr.', '417'], ['Edgar Martinez', '309'], ['Jay Buhner', '307'], ['Kyle Seager', '207'], ['Alex Rodriguez', '189'], ['Nelson Cruz', '163'], ['Alvin Davis', '160'], ['Raul Ibanez', '156'], ['Bret Boone', '143'], ['Jim Presley', '115']] |
Nokia 's net sales from 1999 to 2019 ( in billion euros ) | In 2018 , Nokia had 22.5 billion euros in net sales , which is a small decrease from the year before . In the past decade , the company has made several directional shifts from handheld devices to network infrastructure in order to keep up with the quickly evolving electronics and telecommunications industry . | [['Year', 'Net sales in billion euros'], ['2019', '23.32'], ['2018', '22.56'], ['2017', '23.15'], ['2016', '23.64'], ['2015', '12.5'], ['2014', '11.76'], ['2013*', '12.71'], ['2012', '30.18'], ['2011', '38.66'], ['2010', '42.45'], ['2009', '40.98'], ['2008', '50.71'], ['2007', '51.06'], ['2006', '41.12'], ['2005', '34.19'], ['2004', '29.37'], ['2003', '29.53'], ['2002', '30.02'], ['2001', '31.19'], ['2000', '30.38'], ['1999', '19.77']] |
Number of enterprises in the wholesale and retail trade including the repair of motor vehicles and motorcycles industry in Greece from 2008 to 2015 | This statistic shows the number of enterprises in the wholesale and retail trade including the repair of motor vehicles industry in Greece from 2008 to 2015 . In 2015 , there were a total of 253,167 enterprises in the wholesale and retail trade industry . | [['Year', 'Number of enterprises'], ['2015*', '253167'], ['2014', '251734'], ['2013', '251413'], ['2012', '260251'], ['2011', '260638'], ['2010', '286101'], ['2009', '291537'], ['2008', '297452']] |
Number of Starbucks monthly mobile app users in the United States as of April 2016 ( in millions ) | This statistic presents the number of monthly Starbucks mobile app users in the United States as of April 2016 . As of the last reported period , the app had 19 million monthly active users in the United States . | [['Month', 'Number of app users in millions'], ["Apr '16", '19'], ["Jul '14*", '12']] |
Ecolab 's revenue from 2017 to 2019 by segment ( in million U.S. dollars ) | This statistic shows the segment revenues of Ecolab from 2017 to 2019 . Ecolab Inc. is a leading company in cleaning , sanitizing , pest elimination services , food safety , and infection prevention products and services worldwide . In 2019 , the corporation 's Global Energy segment generated some 3.3 billion U.S. dollars of revenue . | [['Segment', 'Global Industrial', 'Global Institutional', 'Global Energy', 'Other'], ['2019', '5569.9', '5235.5', '3334.0', '907.5'], ['2018', '5220.2', '5066.0', '3388.8', '855.7'], ['2017', '4895.8', '4785.8', '3205.8', '910.7']] |
Japan : Life expectancy of women at birth from 2008 to 2018 | The statistic shows the life expectancy of women at birth in Japan from 2008 to 2018 . In 2018 , the average life expectancy of women at birth in Japan was about 87.32 years . | [['Year', 'Life expectancy in years'], ['2018', '87.32'], ['2017', '87.26'], ['2016', '87.14'], ['2015', '86.99'], ['2014', '86.83'], ['2013', '86.61'], ['2012', '86.41'], ['2011', '85.9'], ['2010', '86.3'], ['2009', '86.44'], ['2008', '86.05']] |
Annual turnover of the wholesale and retail trade including the repair of motor vehicles and motorcycles industry in Germany from 2008 to 2017 ( in million euros ) | This statistic shows the annual turnover of the wholesale and retail trade including the repair of motor vehicles industry in Germany from 2008 to 2017 . In 2017 , the wholesale and retail trade industry produced a turnover of approximately two trillion euros . | [['Year', 'Annual turnover in million euros'], ['2017', '2087496.9'], ['2016', '1959147.5'], ['2015', '1957253.5'], ['2014', '1909206.7'], ['2013', '1848713.7'], ['2012', '1882670.5'], ['2011', '1845180.7'], ['2010', '1670535.9'], ['2009', '1591183.2'], ['2008', '1491095.5']] |
Share of American adults who owned a tablet in 2012 and 2013 , by education level | This statistic shows the percentage of American adults with varying education levels who reported owning a tablet as of mid 2012 and 2013 . Through the survey it was discovered that around 41 percent of people who had completed a college degree or higher , also owned a tablet in 2012 . | [['Response', '2012', '2013'], ['No high school diploma', '7%', '17%'], ['High school', '18%', '26%'], ['Some college', '27%', '35%'], ['College degree or more', '41%', '49%']] |
Cumulative number of confirmed cases , deaths and recoveries of coronavirus ( COVID-19 ) in Spain between February 15 and December 22 , 2020 | The cumulative number of cases of the coronavirus disease that originated in the Chinese city of Wuhan ( COVID-19 ) in Spain amounted to approximately 1.83 million as of December 22 , 2020 . Since Spain confirmed its first case , the authorities have confirmed more than 49 thousand deaths as a result of complications from coronavirus , most of them in the Community of Madrid . | [['Year', 'Confirmed cases', 'Deaths', 'Recoveries'], ['22 Dec', '1829903', '49520', '-'], ['21 Dec', '1819249', '49260', '-'], ['18 Dec', '1797236', '48926', '-'], ['17 Dec', '1785421', '48777', '-'], ['16 Dec', '1773290', '48596', '-'], ['15 Dec', '1762212', '48401', '-'], ['14 Dec', '1751884', '48013', '-'], ['11 Dec', '1730575', '47624', '-'], ['10 Dec', '1720056', '47344', '-'], ['9 Dec', '1712101', '47019', '-'], ['7 Dec', '1702328', '46646', '-'], ['4 Dec', '1684647', '46252', '-'], ['3 Dec', '1675902', '46038', '-'], ['2 Dec', '1665775', '45784', '-'], ['1 Dec', '1656444', '45511', '-'], ['30 Nov', '1648187', '45069', '-'], ['27 Nov', '1628208', '44668', '-'], ['26 Nov', '1617355', '44374', '-'], ['25 Nov', '1605066', '44037', '-'], ['24 Nov', '1594844', '43668', '-'], ['23 Nov', '1582616', '43131', '-'], ['20 Nov', '1556730', '42619', '-'], ['19 Nov', '1541574', '42291', '-'], ['18 Nov', '1525341', '42039', '-'], ['17 Nov', '1510023', '41688', '-'], ['16 Nov', '1496864', '41253', '-'], ['13 Nov', '1458591', '40769', '-'], ['12 Nov', '1437220', '40461', '-'], ['11 Nov', '1417709', '40105', '-'], ['10 Nov', '1398613', '39756', '-'], ['9 Nov', '1381218', '39345', '-'], ['6 Nov', '1328832', '38833', '-'], ['5 Nov', '1306316', '38486', '-'], ['4 Nov', '1284408', '38118', '-'], ['3 Nov', '1259366', '36495', '-'], ['2 Nov', '1240697', '36257', '-'], ['30 Oct', '1185678', '35878', '-'], ['29 Oct', '1160083', '35639', '-'], ['28 Oct', '1136503', '35466', '-'], ['27 Oct', '1116738', '35298', '-'], ['26 Oct', '1098320', '35031', '-'], ['23 Oct', '1046132', '34752', '-'], ['22 Oct', '1026281', '34521', '-'], ['21 Oct', '1005295', '34366', '-'], ['20 Oct', '988322', '34210', '-'], ['19 Oct', '974449', '33992', '-'], ['16 Oct', '936560', '33775', '-'], ['15 Oct', '921374', '33553', '-'], ['14 Oct', '908056', '33413', '-'], ['13 Oct', '896086', '33204', '-'], ['12 Oct', '888968', '33124', '-'], ['9 Oct', '861112', '32929', '-'], ['8 Oct', '848324', '32688', '-'], ['7 Oct', '835901', '32562', '-'], ['6 Oct', '825410', '32486', '-'], ['5 Oct', '813412', '32225', '-'], ['2 Oct', '789932', '32086', '-'], ['1 Oct', '778607', '31973', '-'], ['30 Sep', '769188', '31791', '-'], ['29 Sep', '758172', '31614', '-'], ['28 Sep', '748266', '31411', '-'], ['25 Sep', '716481', '31232', '-'], ['24 Sep', '704209', '31118', '-'], ['23 Sep', '693556', '31034', '-'], ['22 Sep', '682267', '30904', '-'], ['21 Sep', '671468', '30663', '-'], ['18 Sep', '640040', '30495', '-'], ['17 Sep', '625651', '30405', '-'], ['16 Sep', '614360', '30243', '-'], ['15 Sep', '603167', '30004', '-'], ['14 Sep', '593730', '29848', '-'], ['Sep 11', '566326', '29747', '-'], ['Sep 10', '554143', '29699', '-'], ['Sep 9', '543379', '29628', '-'], ['Sep 8', '534513', '29594', '-'], ['Sep 7', '525549', '29516', '-'], ['Sep 4', '498989', '29418', '-'], ['Sep 3', '488513', '29264', '-'], ['Sep 2', '479554', '29194', '-'], ['Sep 1', '470973', '29152', '-'], ['Aug 31', '462858', '29094', '-'], ['Aug 28', '439286', '29011', '-'], ['Aug 27', '429507', '28996', '-'], ['Aug 26', '419849', '28971', '-'], ['Aug 25', '412553', '28924', '-'], ['Aug 24', '405436', '28872', '-'], ['Aug 21', '386054', '28838', '-'], ['Aug 20', '377906', '28813', '-'], ['Aug 19', '370867', '28797', '-'], ['Aug 18', '364196', '28670', '-'], ['Aug 17', '359082', '28646', '-'], ['Aug 14', '342813', '28617', '-'], ['Aug 13', '337334', '28605', '-'], ['Aug 12', '329784', '28579', '-'], ['Aug 11', '326612', '28581', '-'], ['Aug 10', '322980', '28576', '-'], ['Aug 7', '314362', '28503', '-'], ['Aug 6', '309855', '28500', '-'], ['Aug 5', '305767', '28499', '-'], ['Aug 4', '302814', '28498', '-'], ['Aug 3', '297054', '28472', '-'], ['Jul 31', '288522', '28445', '-'], ['Jul 30', '285430', '28443', '-'], ['Jul 29', '282641', '28441', '-'], ['Jul 28', '280610', '28436', '-'], ['Jul 27', '278782', '28434', '-'], ['Jul 24', '272421', '28432', '-'], ['Jul 23', '270166', '28429', '-'], ['Jul 22', '267551', '28426', '-'], ['Jul 21', '266194', '28424', '-'], ['Jul 20', '264836', '28422', '-'], ['Jul 17', '260255', '28420', '-'], ['Jul 16', '258855', '28416', '-'], ['Jul 15', '257494', '28413', '-'], ['Jul 14', '256619', '28409', '-'], ['Jul 13', '255953', '28406', '-'], ['Jul 10', '253908', '28403', '-'], ['Jul 9', '253056', '28401', '-'], ['Jul 8', '252513', '28396', '-'], ['Jul 7', '252130', '28392', '-'], ['Jul 6', '251789', '28388', '-'], ['Jul 3', '250545', '28385', '-'], ['Jul 2', '250103', '28368', '-'], ['Jul 1', '249659', '28363', '-'], ['Jun 30', '249271', '28355', '-'], ['Jun 29', '248970', '28346', '-'], ['Jun 28', '248770', '28343', '-'], ['Jun 27', '248469', '28342', '-'], ['Jun 26', '247905', '28338', '-'], ['Jun 25', '247486', '28330', '-'], ['Jun 24', '247086', '28327', '-'], ['Jun 23', '246752', '28325', '-'], ['Jun 22', '246504', '28324', '-'], ['Jun 21', '246272', '28323', '-'], ['Jun 20', '245938', '28322', '-'], ['Jun 19', '245575', '28315', '-'], ['Jun 18', '245268', '27136', '-'], ['Jun 17', '244683', '27136', '-'], ['Jun 16', '244328', '27136', '-'], ['Jun 15', '244109', '27136', '-'], ['Jun 14', '243928', '27136', '-'], ['Jun 13', '243605', '27136', '-'], ['Jun 12', '243209', '27136', '-'], ['Jun 11', '242707', '27136', '-'], ['Jun 10', '242289', '27136', '-'], ['Jun 9', '241966', '27136', '-'], ['Jun 8', '241717', '27136', '-'], ['Jun 7', '241550', '27136', '-'], ['Jun 6', '241310', '27135', '-'], ['Jun 5', '240978', '27134', '-'], ['Jun 4', '240660', '27133', '-'], ['Jun 3', '240326', '27128', '-'], ['Jun 2', '239932', '27127', '-'], ['Jun 1', '239638', '27127', '-'], ['May 31', '239429', '27127', '-'], ['May 30', '239228', '27125', '-'], ['May 29', '238564', '27121', '-'], ['May 28', '237906', '27119', '-'], ['May 27', '236769', '27118', '-'], ['May 26', '236259', '27117', '-'], ['May 25', '235400', '26834', '-'], ['May 24', '235772', '28752', '-'], ['May 23', '235290', '28678', '-'], ['May 21', '233037', '27940', '-'], ['May 20', '232555', '27888', '-'], ['May 19', '232037', '27778', '-'], ['May 18**', '231606', '27709', '150376'], ['May 17', '231350', '27650', '149576'], ['May 16', '230698', '27563', '146446'], ['May 15', '230183', '27459', '144783'], ['May 14', '229540', '27321', '143374'], ['May 13', '228691', '27104', '140823'], ['May 12', '228030', '26920', '138930'], ['May 11', '227436', '26744', '137139'], ['May 10', '224390', '26621', '136166'], ['May 9', '223578', '26478', '133952'], ['May 8', '222857', '26299', '131148'], ['May 7', '221447', '26070', '128511'], ['May 6', '220325', '25857', '126002'], ['May 5', '219329', '25613', '123486'], ['May 4', '218011', '25428', '121343'], ['May 3', '217466', '25264', '118902'], ['May 2', '216582', '25100', '117248'], ['May 1', '215435', '24824', '114897'], ['Apr 30', '213435', '24543', '112050'], ['Apr 29', '212917', '24275', '108497'], ['Apr 28', '210773', '23822', '102548'], ['Apr 27', '209465', '23521', '100875'], ['Apr 26', '207634', '23190', '98732'], ['Apr 25*', '223759', '22902', '95708'], ['Apr 24', '219764', '22524', '92355'], ['Apr 23', '213024', '22157', '89250'], ['Apr 22', '208389', '21717', '85915'], ['Apr 21', '204178', '21282', '82514'], ['Apr 20', '200210', '20852', '80587'], ['Apr 19', '195944', '20453', '77357'], ['Apr 18', '191726', '20043', '74662'], ['Apr 17', '188068', '19478', '72963'], ['Apr 16', '182816', '19130', '74797'], ['Apr 15', '177633', '18579', '70853'], ['Apr 14', '172541', '18056', '67504'], ['Apr 13', '169496', '17489', '64727'], ['Apr 12', '166019', '16972', '62391'], ['Apr 11', '161852', '16353', '59109'], ['Apr 10', '157022', '15843', '55668'], ['Apr 9', '152446', '15238', '52165'], ['Apr 8', '146690', '14555', '48021'], ['Apr 7', '140510', '13798', '43208'], ['Apr 6', '135032', '13055', '40437'], ['Apr 5', '130759', '12418', '38080'], ['Apr 4', '124736', '11744', '34219'], ['Apr 3', '117710', '10935', '30513'], ['Apr 2', '110238', '10003', '26743'], ['Apr 1', '102136', '9053', '22647'], ['Mar 31', '94417', '8189', '19259'], ['Mar 30', '85195', '7340', '16780'], ['Mar 29', '78797', '6528', '14709'], ['Mar 28', '72248', '5690', '12285'], ['Mar 27', '64059', '4858', '9357'], ['Mar 26', '56188', '4089', '7015'], ['Mar 25', '47610', '3434', '5367'], ['Mar 24', '39673', '2696', '3794'], ['Mar 23', '33089', '2182', '3355'], ['Mar 22', '28572', '1720', '2575'], ['Mar 21', '24926', '1326', '2125'], ['Mar 20', '19980', '1002', '1588'], ['Mar 19', '17147', '767', '1107'], ['Mar 18', '13716', '598', '1081'], ['Mar 17', '11178', '491', '1028'], ['Mar 16', '9191', '309', '530'], ['Mar 15', '7753', '288', '517'], ['Mar 14', '5753', '136', '517'], ['Mar 13', '4231', '121', '193'], ['Mar 12', '2965', '84', '189'], ['Mar 11', '2140', '48', '183'], ['Mar 10', '1639', '36', '135'], ['Mar 9', '1204', '28', '23'], ['Mar 6', '365', '5', '-'], ['Mar 5', '237', '3', '-'], ['Mar 4', '197', '1', '-'], ['Mar 3', '114', '-', '-'], ['Feb 28', '31', '-', '-'], ['Feb 27', '16', '-', '-'], ['Feb 26', '7', '-', '-'], ['Feb 25', '3', '-', '-'], ['Feb 12', '2', '-', '-']] |
Number of travel agency and tour operator enterprises in France from 2008 to 2016 | This statistic shows the number of enterprises in the travel agency , tour operator and related services industry in France from 2008 to 2016 . In 2016 , there were approximately 8.9 thousand travel agencies in the country . In comparison with other regions , the number of enterprises in the United Kingdom was rounded 4.6 in 2016 . | [['Year', 'Number of enterprises'], ['2016', '8929'], ['2015', '8703'], ['2014*', '9229'], ['2013', '8122'], ['2012', '7308'], ['2011', '6395'], ['2010', '5962'], ['2009', '4901'], ['2008', '5324']] |
Detroit Pistons all-time rebounds leaders from 1948 to 2020 | The statistic shows Detroit Pistons players with the most rebounds in franchise history . Bill Laimbeer is the career rebounds leader of the Detroit Pistons with 9,430 rebounds . | [['Player', 'Rebounds'], ['Bill Laimbeer', '9430'], ['Andre Drummond', '8199'], ['Bob Lanier', '8063'], ['Ben Wallace', '7264'], ['Dennis Rodman', '6299'], ['Larry Foust', '5200'], ['Walter Dukes', '4986'], ['Dave DeBusschere', '4947'], ['Bailey Howell', '4583'], ['Ray Scott', '4508']] |
Number of registered motor vehicles across Andhra Pradesh in India from financial year 2007 to 2017 ( in millions ) | There were over nine million registered vehicles across the Indian state of Andhra Pradesh at the end of fiscal year 2017 . The south Asian country 's transport sector accounted for a 4.85 percent share of the GVA with road transport accounting for over three percent of it . The GVA from railways was about 0.7 percent and air transport accounted for about 0.16 percent during the same time period . | [['Fiscal year', 'Number of vehicles in millions'], ['FY 2017', '9.63'], ['FY 2016', '8.73'], ['FY 2015', '7.88'], ['FY 2014', '7.0'], ['FY 2013', '6.29'], ['FY 2012', '12.42'], ['FY 2011', '10.19'], ['FY 2010', '8.92'], ['FY 2009', '8.06'], ['FY 2008', '7.21'], ['FY 2007', '6.37']] |
Average unit price of photovoltaic installation depending on power in Poland in 2020 ( in zloty per kilowatt ) | The unit price of a photovoltaic installation in Poland decreases with increasing power . In 2020 , the average cost of a 5kW installation amounted to 5.5 thousand zloty per kilowatt . | [['Year', 'Average unit price of PV installation in zloty/kW'], ['1 kW', '5800'], ['5 kW', '5533'], ['10 kW', '4200'], ['50 kW', '3750'], ['100 kW', '3720'], ['500 kW', '3660'], ['1 MW', '2800'], ['5 MW', '2400']] |
Distribution share of ESPRIT retail sales in fiscal year 2018/2019 , by country | The statistic shows the distribution of ESPRIT retail sales by country in the fiscal year 2018/2019 . In that year , retail sales in China accounted for 7.2 percent of the company 's total retail sales . | [['Response', 'Share of retail sales'], ['Germany', '44.2%'], ['Benelux', '14.4%'], ['Switzerland', '9.3%'], ['China', '7.2%'], ['Austria', '6.2%'], ['Singapore', '3.7%'], ['Malaysia', '2.8%'], ['France', '2.8%'], ['Taiwan', '2.4%'], ['Hong Kong', '2%'], ['Sweden', '1.2%'], ['Macau', '1.1%'], ['Poland', '1.1%'], ['Finland', '0.9%'], ['Australia and New Zealand', '0.7%'], ['Denmark', '0%']] |
Distribution of global M & A deals from 2008 to 2012 , by value | The statistic shows the distribution of global M & A deals from 2008 to 2012 , by value . In 2012 , 28.3 percent of deals made in that year were valued between 501 and 2,000 million U.S. dollars . | [['Year', '0 - 500 million U.S. dollars', '501 -2,000 million U.S. dollars', '2,001 - 10,000 million U.S. dollars', 'Over 10,001 million U.S. dollars'], ['2012', '23.2%', '28.3%', '30.6%', '17.9%'], ['2011', '24.8%', '26.3%', '33.9%', '15%'], ['2010', '24.8%', '27.5%', '32.5%', '15.4%'], ['2009', '22.5%', '20.5%', '27.5%', '29.6%'], ['2008', '23.4%', '19.3%', '27.9%', '29.4%']] |
New York Times Media Group 's circulation revenue from 1st quarter 2012 to 3rd quarter 2020 ( in million U.S. dollars ) | The New York Times Media Group 's circulation revenue amounted to 300.95 million U.S. dollars in the third quarter of 2020 , up from 267.3 million in the corresponding quarter of 2019 . The Times ' subscription revenue generally grows steadily over the course of each year . However , for the most part , the company sees a small revenue decrease in the third quarter , which has been an ongoing and consistent trend for the company over the last few years . | [['Quarter', 'Revenue in million U.S. dollars'], ['Q3 2020', '300.95'], ['Q2 2020', '293.19'], ['Q1 2020', '285.43'], ['Q4 2019', '275.28'], ['Q3 2019', '267.3'], ['Q2 2019', '270.46'], ['Q1 2019', '270.81'], ['Q4 2018', '263.55'], ['Q3 2018', '257.8'], ['Q2 2018', '260.63'], ['Q1 2018', '260.59'], ['Q4 2017', '269.38'], ['Q3 2017', '246.64'], ['Q2 2017', '250.04'], ['Q1 2017', '242.38'], ['Q4 2016', '225.97'], ['Q3 2016', '217.1'], ['Q2 2016', '219.48'], ['Q1 2016', '217.99'], ['Q4 2015', '215.16'], ['Q3 2015', '210.71'], ['Q2 2015', '213.13'], ['Q1 2015', '212.79'], ['Q4 2014', '210.56'], ['Q3 2014', '206.73'], ['Q2 2014', '209.82'], ['Q1 2014', '209.72'], ['Q4 2013', '207.67'], ['Q3 2013', '204.16'], ['Q2 2013', '206.97'], ['Q1 2013', '205.48'], ['Q4 2012', '216.12'], ['Q3 2012', '194.74'], ['Q2 2012', '194.21'], ['Q1 2012', '189.97']] |
Number of households in Mexico between 2005 and 2017 ( in millions ) | The statistic presents a timeline with the number of households in Mexico between 2005 and 2017 . In 2017 , there were more than 34 million households in Mexico , up from nearly 33 million households a year earlier . | [['Year', 'Number of households in millions'], ['2017*', '34.07'], ['2016', '32.9'], ['2015', '31.95'], ['2010', '28.16'], ['2005', '24.8']] |
Average issue readership of Elle magazine in the United Kingdom ( UK ) from 1st half 2003 to 2nd half 2016 ( in 1,000 readers ) | This statistic displays the readership trend of Elle magazine in the United Kingdom from first half 2003 to second half 2016 . In second half 2015 , the magazine was read by an average 619 thousand readers per issue . | [['fiscal half year', 'AIR in thousands*'], ['H2 16', '662'], ['H1 16', '668'], ['H2 15', '619'], ['H1 15', '775'], ['H2 14', '775'], ['H1 14', '769'], ['H2 13', '844'], ['H1 13', '907'], ['H2 12', '792'], ['H1 12', '796'], ['H2 11', '771'], ['H1 11', '885'], ['H2 10', '806'], ['H1 10', '693'], ['H2 09', '786'], ['H1 09', '791'], ['H2 08', '831'], ['H1 08', '764'], ['H2 07', '803'], ['H1 07', '871'], ['H2 06', '837'], ['H1 06', '745'], ['H2 05', '769'], ['H1 05', '793'], ['H2 04', '775'], ['H1 04', '826'], ['H2 03', '828'], ['H1 03', '881']] |
Distribution of Medicaid spending in Ohio in 2019 , by service | In total , Medicaid expenditures stood at some 626 billion dollars in federal fiscal year 2019 . The statistic represents the distribution of Medicaid spending , by service , for the state of Ohio . In Ohio , 14 percent of total Medicaid expenditures went to acute care , during this year . | [['Service', 'Percentage of Medicaid Spending'], ['Accute care', '10%'], ['Long-term care', '26%'], ['Disproportionate share hospital payments', '6%'], ['Payments to Medicare', '3%'], ['Managed Care & Health Plans', '56%']] |
Number of drug-related deaths due to amphetamine use in England and Wales from 1993 to 2019 | In 2019 , there were 99 amphetamine-related deaths in England and Wales . Although this was a very slight decrease from the preceding year , the number of deaths as a result of amphetamine use has sharply increased in recent years . The number of deaths remained around 50 a year before jumping to 85 mortalities in 2014 . | [['Year', 'Number of deaths'], ['2019', '99'], ['2018', '100'], ['2017', '91'], ['2016', '96'], ['2015', '90'], ['2014', '85'], ['2013', '56'], ['2012', '49'], ['2011', '46'], ['2010', '48'], ['2009', '50'], ['2008', '59'], ['2007', '50'], ['2006', '49'], ['2005', '50'], ['2004', '43'], ['2003', '33'], ['2002', '51'], ['2001', '28'], ['2000', '40'], ['1999', '67'], ['1998', '48'], ['1997', '41'], ['1996', '33'], ['1995', '35'], ['1994', '19'], ['1993', '37']] |
Number of victims of intentional homicide in Jamaica from 2010 to 2017 ( in 1,000s ) | In 2017 , Jamaica was one of the countries with the highest homicide rates in Latin America and the Caribbean . Indeed , the number of people murdered in Jamaica amounted to approximately 1.65 thousand in 2017 , up from 1.35 thousand victims a year earlier . | [['Year', 'Number of victims in thousands'], ['2017', '1.65'], ['2016', '1.35'], ['2015', '1.21'], ['2014', '1.01'], ['2013', '1.2'], ['2012', '1.1'], ['2011', '1.13'], ['2010', '1.45']] |
Adult home broadband penetration in the United States from 2000 to 2019 , by age group | This graph shows the percentage of home broadband internet users in the United States since 2000 , sorted by age groups . In 2019 , 77 percent of the 30 - 49 year-olds and 77 percent of 18 - 29 year olds had a home broadband connection . | [['Month', '18-29 years', '30-49 years', '50-64 years', '65+ years'], ["Mar '00", '1%', '1%', '0%', '-'], ["Oct '01", '10%', '9%', '7%', '2%'], ["Jun '05", '44%', '39%', '32%', '7%'], ["Aug '08", '73%', '68%', '52%', '34%'], ["Aug '11", '76%', '70%', '60%', '30%'], ["Sep '13", '81%', '77%', '68%', '41%'], ["Jul '15", '75%', '76%', '62%', '48%'], ["Nov '16", '77%', '81%', '75%', '51%'], ["Jan '18", '67%', '70%', '68%', '50%'], ["Feb '19", '77%', '77%', '79%', '59%']] |
Revenue of the Big Four accounting / audit firms worldwide in 2019 , by geographical region ( in billion U.S. dollars ) | Deloitte reported total revenue figures of around 46.2 billion U.S. dollars in 2019 , the most of the Big Four accounting firms . The company also led the rankings in the Americas , but it was PwC who came out on top in both the Asia Pacific and Europe , the Middle East , and Africa ( EMEA ) regions . | [['Big Four accounting / audit firms', 'Americas', 'EMEA*', 'Asia Pacific**'], ['Deloitte', '24.2', '15.0', '7.1'], ['PwC', '17.8', '16.7', '7.95'], ['EY', '16.75', '14.15', '5.5'], ['KPMG', '11.72', '12.89', '5.14']] |
Number of enterprises in the manufacture of cocoa , chocolate and sugar confectionery industry in Cyprus from 2008 to 2017 | This statistic shows the number of enterprises in the manufacture of cocoa , chocolate and sugar confectionery in Cyprus from 2008 to 2017 . In 2017 , there were 33 enterprises in the cocoa , chocolate and sugar confectionery manufacturing sector in Cyprus . | [['Year', 'Number of enterprises'], ['2017', '33'], ['2016', '30'], ['2015', '26'], ['2014', '26'], ['2013', '27'], ['2012', '26'], ['2011', '25'], ['2010', '29'], ['2009', '52'], ['2008', '53']] |
Number of coronavirus ( COVID-19 ) cases in Finland as of September 7 , 2020 , by gender | As of September 7 , 2020 , the number of confirmed COVID-19 cases in Finland has risen to a total of 8,327 . The number of women tested positive for the coronavirus ( COVID-19 ) was around one percentage higher than the number of men ( women 50.4 percent and men 49.6 percent ) . For further information about the coronavirus ( COVID-19 ) pandemic , please visit our dedicated Facts and Figures page . | [['Gender', 'Number of coronavirus cases'], ['Women', '4196'], ['Men', '4131'], ['Total', '8327']] |
Mean monthly household consumption expenditure in Italy from 2008 to 2019 ( in euros ) | In 2019 , the average monthly consumption expenditure of Italian households amounted to 2,560 euros . The total annual consumption expenditure was 1.09 trillion euros . This figure represented an increase compared to the lowest level registered in 2013 . However , the average monthly consumption expenditure still did n't reach the pre-crisis level . In 2008 , for example , the monthly average was almost 100 euros higher compared to 2019 . | [['Year', 'Monthly average consumption expenditure in euros'], ['2019', '2560'], ['2018', '2571'], ['2017', '2564'], ['2016', '2524'], ['2015', '2499'], ['2014', '2489'], ['2013', '2471'], ['2012', '2550'], ['2011', '2640'], ['2010', '2604'], ['2009', '2592'], ['2008', '2648']] |
Current budget balance in Scotland as a percentage of United Kingdom ( UK ) gross domestic product ( GDP ) from 2008/09 to 2018/19 | This statistic shows Scotland 's budget balance , excluding revenue generated by the North Sea , as a share of the United Kingdom ( UK ) 's gross domestic product ( GDP ) from 2008/09 to 2018/19 . The deficit increased between 2008/09 and 2009/10 but has slowly been decreasing from 2009/10 onwards . However , Scotland 's deficit as a share of the UK 's GDP is still higher than pre-recession levels . | [['Response', 'Share of UK GDP'], ['2018/2019', '-5.7%'], ['2017/2018', '-6.8%'], ['2016/2017', '-7.2%'], ['2015/2016', '-8.6%'], ['2014/2015', '-8.7%'], ['2013/2014', '-9.5%'], ['2012/2013', '-10.8%'], ['2011/2012', '-11.2%'], ['2010/2011', '-12.7%'], ['2009/2010', '-12.7%'], ['2008/2009', '-10%']] |
Turnover of the restaurants and mobile food service activities industry in the European Union ( EU-28 ) in 2017 , by country ( in million euros ) | This statistic displays the turnover of the restaurants and mobile food service activities industry in the European Union ( EU-28 ) in 2017 , by country . That year the restaurants and mobile food service activities industry produced a turnover of approximately 50.8 billion euros in France . | [['Country', 'Turnover in million euros'], ['France', '50807.4'], ['United Kingdom', '46722.2'], ['Germany', '43092.8'], ['Italy', '33071.9'], ['Spain', '22314.0'], ['Netherlands', '12322.0'], ['Sweden', '10704.8'], ['Belgium', '9476.4'], ['Austria', '8898.8'], ['Portugal', '5454.2'], ['Poland', '5386.1'], ['Ireland', '4254.2'], ['Czechia', '4038.1'], ['Finland', '4013.7'], ['Denmark', '3882.0'], ['Greece', '3358.1'], ['Romania', '2205.8'], ['Hungary', '2145.0'], ['Croatia', '1016.9'], ['Bulgaria', '989.5'], ['Slovakia', '946.7'], ['Slovenia', '911.7'], ['Cyprus', '859.2'], ['Luxembourg', '827.9'], ['Lithuania', '566.7'], ['Estonia', '510.4'], ['Latvia', '493.6']] |
Number of jobs at risk in the tourism sector in selected Latin American countries due to the coronavirus ( COVID-19 ) pandemic in 2020 ( in millions ) | In March 2020 , it was estimated that the coronavirus ( COVID-19 ) pandemic could endanger 1.7 million jobs in the travel and tourism sector in Mexico alone . The most populated Latin American country , Brazil , could also lose up to 1.2 million jobs in the tourism and travel industry . Furthermore , the pandemic could also cause the Argentine tourism sector to lose around 200 thousand jobs . | [['Country', 'Number of jobs at risk (in millions)'], ['Mexico', '1.7'], ['Brazil', '1.2'], ['Argentina', '0.2']] |
Chile : Ratio of government expenditure to gross domestic product ( GDP ) from 2015 to 2025 | The statistic shows the ratio of government expenditure to gross domestic product ( GDP ) in Chile from 2015 to 2019 , with projections up until 2025 . In 2019 , government expenditure in Chile amounted to about 25.85 percent of the country 's gross domestic product . | [['Year', 'Ratio of government expenditure to GDP'], ['2025*', '25.36%'], ['2024*', '26.3%'], ['2023*', '27.19%'], ['2022*', '27.71%'], ['2021*', '29.83%'], ['2020*', '29.35%'], ['2019', '25.85%'], ['2018', '25.36%'], ['2017', '25.44%'], ['2016', '25.26%'], ['2015', '24.89%']] |
Usage frequency of various banking channels in United Kingdom ( UK ) from 2011 to 2015 | This statistic presents the frequency of use of various banking channels in United Kingdom from 2011 to 2015 . Over time , internet ( online ) banking proved to be the dominant channel used by clients . It translated to approximately 80 percent of users over the years , notably though online banking use diminished in 2015 to 74 percent . It could be connected to the growth of mobile banking use , where banking is done `` on the go '' on mobile devices . This channel use noted a significant growth , from 10 percent in 2011 to 34 percent in 2015 . Branch banking vacillated between 43 and 52 percent , also noting a growth , which is an interesting outcome in the context of many banking branches of the leading British banks closing down . | [['various banking channels', '2011', '2012', '2014', '2015'], ['Phone', '10%', '12%', '12%', '16%'], ['Branch', '43%', '45%', '52%', '52%'], ['Mobile', '10%', '21%', '27%', '34%'], ['Internet', '80%', '78%', '80%', '74%']] |
U.S. camping equipment sales - lifestyle/travel packs & bags from 2010 to 2011 ( in million U.S. dollars ) | The statistic shows the total sales of camping lifestyle/travel packs and bags in the United States from 2010 to 2011 . In 2010 , sales of lifestyle/travel packs and bags amounted to 293.6 million U.S. dollars . | [['Year', 'Equipment sales in million U.S. dollars'], ['2011', '347.68'], ['2010', '293.62']] |
Annual growth of Amazon retail e-commerce sales in the United States from 2017 to 2021 | While having slowed down from an impressive 24.9 percent year-on-year growth in 2017 , Amazon 's retail e-commerce sales in the United States are still growing in the double digits . In 2019 , U.S. e-retail sales of the online platform increased by 19.1 percent and amounted to over 222.6 billion U.S. dollars . | [['Year', 'Change in percent'], ['2021*', '15.9%'], ['2020*', '17.2%'], ['2019', '19.1%'], ['2018', '19.7%'], ['2017', '24.9%']] |
How much will you spend on a Halloween costume ? | This statistic shows the results of a survey asking consumers in the United Kingdom ( UK ) how much they plan to spend on Halloween fancy dress in 2014 . Of respondents , around 22 percent planned to spend 5 to 10 British pounds on a costume . | [['Spend in GBP', 'Share of respondents'], ['Under 5', '2.9%'], ['5-10', '21.9%'], ['10.01-15', '21%'], ['15.01-20', '19%'], ['20.01-25', '14.3%'], ['25.01-30', '9.5%'], ['30.01 +', '7.7%']] |
LINE Corporation 's revenue from 1st quarter 2015 to 1st quarter 2017 , by segment ( in million Japanese yen ) | This statistic gives information on the segment revenue of LINE . In the first quarter of 2017 , the Japanese chat app had generated over 8 billion yen in sticker sales which were filed under communications revenues . | [['Quarter', 'LINE advertising', 'Portal advertising', 'Communication (Stickers)', 'Content (Games)', 'Others*'], ["Q1 '17", '13913', '2644', '8067', '10441', '3851'], ["Q4 '16", '13098', '2633', '6973', '10760', '4002'], ["Q3 '16", '11960', '2524', '7255', '10774', '3417'], ["Q2 '16", '10160', '2459', '7377', '11387', '2471'], ["Q1 '16", '9302', '2571', '7686', '11865', '2032'], ["Q4 '15", '8235', '2431', '7714', '11637', '2315'], ["Q3 '15", '7195', '2333', '7807', '13182', '1383'], ["Q2 '15", '5466', '2415', '6524', '12401', '1264'], ["Q1 '15", '5591', '2746', '6680', '12064', '1023']] |
Forecasted median age of Italian population from 2020 to 2050 | The median age of the population in Italy is estimated to grow constantly until 2050 . Projections made in 2019 suggested that the median age will be equal to 50.8 years in 2030 and 53.6 years by 2050 . In Italy , the birth rate has constantly decreased over the past years . In 2019 , roughly seven children were born per every 1,000 inhabitants , about two infants less than in 2002 . | [['Year', 'Median age'], ['2050', '53.6'], ['2045', '53.2'], ['2040', '52.6'], ['2035', '51.9'], ['2030', '50.8'], ['2025', '49.2'], ['2020', '47.3']] |
Internet retail market value distribution in Russia in 2018 , by major company | In 2018 , the annual online retail market turnover of Alibaba , Amazon , and eBay combined accounted for 16 percent of the total internet retail market value share in Russia . Wildberries and Mvideo shared the second position with five percent of market value share each over the observed period . Ozon , listed on the sixth place , was expected to become the second biggest player of the market in the coming years . | [['Company', 'Market value share'], ['Alibaba, Amazon, and eBay', '16%'], ['Wildberries', '5%'], ['Mvideo', '5%'], ['DNS Group', '3%'], ['Citilink', '3%'], ['Ozon', '3%'], ['Lamoda', '3%']] |
Annual revenue generated by Cineplex from 2010 to 2019 ( in million Canadian dollars ) | In 2019 , movie theater chain Cineplex generated revenue of over 1.66 billion Canadian dollars , up from 1.61 billion a year earlier . Meanwhile , the company 's net income dropped significantly , partially as a result of the transactional costs assosicated with the proposed Cineworld acquisition . | [['Year', 'Revenue in million Canadian dollars'], ['2019', '1665.15'], ['2018', '1612.44'], ['2017', '1555.1'], ['2016', '1478.33'], ['2015', '1370.94'], ['2014', '1234.72'], ['2013', '1171.27'], ['2012', '1091.87'], ['2011', '998.2'], ['2010*', '1006.42']] |
Los Angeles Rams all-time passing leaders from 1937 to 2020 ( in yards ) | The statistic shows Los Angeles Rams players with the most passing yards in franchise history . Jim Everett is the career passing leader of the Los Angeles Rams with 23,758 yards . | [['Los Angeles Rams all-time passing leaders', 'Passing yards'], ['Jim Everett', '23758'], ['Marc Bulger', '22814'], ['Roman Gabriel', '22223'], ['Jared Goff', '16364'], ['Norm Van Brocklin', '16114'], ['Kurt Warner', '14447'], ['Bob Waterfield', '11849'], ['Sam Bradford', '11065'], ['Vince Ferragamo', '9376'], ['Pat Haden', '9296'], ['Billy Wade', '8572'], ['Tony Banks', '8333'], ['James Harris', '5220'], ['Chris Miller', '4727'], ['Parker Hall', '4013'], ['Zeke Bratkowski', '3559'], ['Bill Munson', '3556'], ['Case Keenum', '3029'], ['Jamie Martin', '2944'], ['John Hadl', '2688']] |
Types of face masks worn by individuals during the coronavirus pandemic in the United Kingdom ( UK ) as of May 2020 | In May 2020 , a survey carried out in the United Kingdom found that 30 percent of respondents who had worn a face mask outside during the coronavirus pandemic wore a medical mask that they had bought . Furthermore , 26 percent had been wearing a home made cloth mask , while 23 percent wore a cloth face mask that they purchased . The latest number of cases in the UK can be found here . For further information about the coronavirus pandemic , please visit our dedicated Facts and Figures page . | [['Feelings while wearing face mask', 'Share of respondents'], ['Medical mask that you bought', '30%'], ['Home made cloth mask', '26%'], ['Cloth mask that you had bought', '23%'], ['Scarf or similar', '17%'], ['Other', '12%'], ['Not sure', '3%']] |
Forecast of the U.S. budget balance for fiscal years 2019 to 2030 ( in billion U.S. dollars ) | This graph shows the total budget balance of the U.S. government for fiscal years 2019 to 2030 . This forecast predicts a deficit of 1,742 billion U.S. dollars in fiscal year 2030 . A fiscal year covers the period from October 1 to September 30 of a given year . | [['Year', 'Deficit or surplus in billion U.S. dollars'], ['2030*', '-1742'], ['2029*', '-1466'], ['2028*', '-1538'], ['2027*', '-1313'], ['2026*', '-1333'], ['2025*', '-1315'], ['2024*', '-1152'], ['2023*', '-1119'], ['2022*', '-1116'], ['2021*', '-1000'], ['2020*', '-1015'], ['2019', '-984']] |
Media consumption habits of Millennials in the United States in 2012 | This chart shows some of the media consumption habits of the Millennials generation in the United States in 2012 . According to a recent study , Millennials are 40 percent less likely than other U.S. adults to read a newspaper ( print or e-edition ) . | [['Media consumption habit', 'Unnamed: 1'], ['Percent more likely than other U.S. adults to live in a household with no television service', '42%'], ['Percent less likely to read a print or e-edition newspaper', '40%'], ['Share of millennials who have visited a newspaper or television website in the last 30 days', '35%'], ['Percent more likely than other U.S. adults to use a mobile device to read news', '54%'], ['Share of millennials who have used a mobile device to read the news in the last 30 days', '20%']] |
Medal tally of the Winter Olympic Games in PyeongChang in 2018 | The statistic reflects the medal count of the Winter Olympic Games in PyeongChang in 2018 . Norway topped the table , finishing the Games with a total of 39 medals - 14 gold , 14 silver , and 11 bronze . | [['Country', 'Gold', 'Silver', 'Bronze'], ['Norway', '14', '14', '11'], ['Germany', '14', '10', '7'], ['Canada', '11', '8', '10'], ['United States', '9', '8', '6'], ['Netherlands', '8', '6', '6'], ['South Korea', '5', '8', '4'], ['Olympic Athletes from Russia', '2', '6', '9'], ['Switzerland', '5', '6', '4'], ['France', '5', '4', '6'], ['Sweden', '7', '6', '1'], ['Austria', '5', '3', '6'], ['Japan', '4', '5', '4'], ['Italy', '3', '2', '5'], ['China', '1', '6', '2'], ['Czech Republic', '2', '2', '3'], ['Finland', '1', '1', '4'], ['Great Britain', '1', '0', '4'], ['Belarus', '2', '1', '0'], ['Slovakia', '1', '2', '0'], ['Australia', '0', '2', '1'], ['Poland', '1', '0', '1'], ['Slovenia', '0', '1', '1'], ['Spain', '0', '0', '2'], ['New Zealand', '0', '0', '2'], ['Hungary', '1', '0', '0'], ['Ukraine', '1', '0', '0'], ['Belgium', '0', '1', '0'], ['Kazakhstan', '0', '0', '1'], ['Latvia', '0', '0', '1'], ['Liechtenstein', '0', '0', '1']] |
Breakdown of power consumption in a semiconductor fabrication plant , as of 2015 , by major application | The statistic shows the breakdown of power consumption in a semiconductor fabrication plant , by major application , as of 2015 . As of that time , power manufacturing equipment consumed 44 percent of the power used in the fab . | [['Response', 'Share of power consumption'], ['Power manufacturing equipment', '44%'], ['Utilities manufacturing equipment', '40%'], ['Infrastructure', '17%']] |
Highest percentage increases and decreases of hunger and malnutrition in the worst-affected countries worldwide from 1990 to 2014 according to the Global Hunger Index 2014 | The statistic shows the highest percentage increases and decreases of hunger and malnutrition in the worst-affected countries worldwide from 1990 to 2014 according to the the Global Hunger Index 2014 . Between 1990 and 2014 , the Global Hunger Index of Kuwait decreased by 90 percent . | [['Country', 'Development of the Global Hunger Index 1990-2014'], ['Kuwait', '-90%'], ['Thailand', '-77%'], ['Vietnam', '-76%'], ['Mexico', '-71%'], ['Ghana', '-71%'], ['Venezuela', '-71%'], ['Peru', '-65%'], ['Egypt', '-63%'], ['Saudi Arabia', '-62%'], ['Panama', '-60%'], ['Burundi', '11%'], ['Comoros', '28%'], ['Iraq', '48%'], ['Swaziland', '67%']] |
Percentage of Canadian respondents who would consider changing their behavior to protect against coronavirus ( COVID-19 ) as of February 9 , 2020 , by action | Of the Canadian respondents surveyed in a recent multi-country poll , the most frequently mentioned behavioral changes to protect against the coronavirus ( COVID-19 ) included avoiding airline travel and hand washing . This statistic shows the percentage of Canadian respondents who would consider taking the following actions in the future to protect themselves from the coronavirus as of February 9 , 2020 . | [['Response', 'Percentage of respondents'], ['Avoid travel to infected countries or areas', '69%'], ['Wash hands more often', '69%'], ['Take a vaccine if one is developed', '45%'], ['Avoid large gatherings of people', '32%'], ['Use more disinfectants', '37%'], ['Avoid travel by airplane for holiday or leisure', '30%'], ['Wear a face mask', '22%'], ['Avoided purchasing food products from China', '29%'], ['Avoid buying other products made in China', '21%'], ['Avoid travel by airplane for business purpose', '25%'], ['Avoid shaking hands with others', '30%'], ['Avoid travel on subways or buses', '20%'], ['Avoid contact with people of Chinese origin or appearance', '11%'], ['Avoid eating in Asian restaurants', '12%'], ['Avoid travel by taxis', '10%'], ['Not go to school or work', '4%'], ['None of the above (Exclusive code, anchor)', '10%']] |
How important is hockey to Canada’s cultural and social fabric ? | The statistic shows the results of a survey which asked people in Canada how important they think hockey is to Canada 's cultural and social fabric in 2014 . During the survey , 32 percent of the respondents aged 18 - 34 years called it extremely important . | [['Response', 'Extremely important', 'Very important', 'Important', 'Not that important', 'Not at all important', "Don't know"], ['18-34 years', '32%', '21%', '32%', '11%', '2%', '3%'], ['35-44 years', '27%', '22%', '29%', '15%', '5%', '2%'], ['45-54 years', '30%', '24%', '29%', '10%', '5%', '3%'], ['55-64 years', '23%', '30%', '27%', '14%', '4%', '2%'], ['65+ years', '19%', '31%', '32%', '13%', '4%', '2%'], ['Total', '27%', '25%', '30%', '12%', '4%', '2%']] |