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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%']]