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Year Number of charter schools 2017/18 7193 2016/17 7011 2015/16 6855 2014/15 6747 2013/14 6465 2012/13 6079 2011/12 5696 2010/11 5274 2009/10 4952 2008/09 4694 2007/08 4388 2003/04 2977 2000/01 1993

The bar diagram shows that the number of charter schools has increased continually between 2000/01 and 2017/18. The bar diagram shows in 2017/18 there were almost 3.5 times more charter schools than there were in 2000/01.

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Year Sales in million Canadian dollars Dec 31, 2009 90.7 Dec 31, 2010 89 Dec 31, 2011 90.6 Dec 31, 2012 90.1 Dec 31, 2013 82.3 Dec 31, 2014 77.4 Dec 31, 2015 75 Dec 31, 2016 75.6 Dec 31, 2017 76.5 Dec 31, 2018 83.5

The chart shows that there was a drop in sales from 2014-2017.

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Consumer price in euros per 500 sheets Country 6.53 Norway 5.32 Luxembourg 5.22 Belgium 4.79 Slovenia 4.58 Italy 4.56 Malta 4.47 Germany 4.37 Lithuania 4.27 Cyprus 4.26 Croatia 3.83 Bulgaria 3.73 Poland 3.71 Slovakia 3.43 Romania 3.38 Czech Republic 2.58 Turkey

Norway had the most expensive a4 paper in 2014 compared to other countries on this chart, Belgium was the second leader, and Slovenia was the third.

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Consumer price in euros per 500 sheets Country 6.53 Norway 5.32 Luxembourg 5.22 Belgium 4.79 Slovenia 4.58 Italy 4.56 Malta 4.47 Germany 4.37 Lithuania 4.27 Cyprus 4.26 Croatia 3.83 Bulgaria 3.73 Poland 3.71 Slovakia 3.43 Romania 3.38 Czech Republic 2.58 Turkey

Norway clearly has the most expensive rate for A4 paper, being over 1.5 euros more than the next most expensive. Turkey has the least expensive, being 2.5 times less than Norway.

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Country Insurance penetration Taiwan 0.1997 Hong Kong 0.1974 South Africa 0.134 United States 0.1143 South Korea 0.1078 United Kingdom 0.103 France 0.0921 Japan 0.09 Italy 0.0833 Canada 0.0767 World 0.0723 Germany 0.0633 Australia 0.0495 PR China 0.043 Brazil 0.0403 Mexico 0.0242

United Kingdom and honk Kong are the countries with the biggest values concerning the penetrahion of life and non life Insurances with the value of 0.20. Mexico has the lowest values withi 0.025.

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Year Number of registered cars Dec 31, 1999 720921 Dec 31, 2000 796024 Dec 31, 2001 852254 Dec 31, 2002 878489 Dec 31, 2003 893862 Dec 31, 2004 880947 Dec 31, 2005 836158 Dec 31, 2006 794707 Dec 31, 2007 749308 Dec 31, 2008 703205 Dec 31, 2009 656379 Dec 31, 2010 599801 Dec 31, 2011 556409 Dec 31, 2012 509007 Dec 31, 2013 465943 Dec 31, 2014 433473 Dec 31, 2015 399392 Dec 31, 2016 364101 Dec 31, 2017 327134 Dec 31, 2018 293831

The number of registered cards decreased by half 800,000 to 400,000 registered cars between 2005 and 2015, a constant downward trend.

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Year Number of registered cars Dec 31, 1999 720921 Dec 31, 2000 796024 Dec 31, 2001 852254 Dec 31, 2002 878489 Dec 31, 2003 893862 Dec 31, 2004 880947 Dec 31, 2005 836158 Dec 31, 2006 794707 Dec 31, 2007 749308 Dec 31, 2008 703205 Dec 31, 2009 656379 Dec 31, 2010 599801 Dec 31, 2011 556409 Dec 31, 2012 509007 Dec 31, 2013 465943 Dec 31, 2014 433473 Dec 31, 2015 399392 Dec 31, 2016 364101 Dec 31, 2017 327134 Dec 31, 2018 293831

the number of registered cars was increasing untill 2004 where it began to decrease. the highet amount of registered cars was around 900000 in 2004.

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Country Rate per 100,000 population Guadeloupe (France) 189.1 Martinique (France) 158.4 Ireland 132.5 Barbados 129.3 Estonia 109.9 Norway 106.5 Sweden 103 Puerto Rico 101.7 France (metropolitan) 99 New Caledonia (France) 93 French Guiana 92.3 New Zealand 90.8 Czech Republic 88 Bahamas 85.8 Australia 85.6 UK 80.7 Latvia 80.3 Slovenia 79.3 Luxembourg 78.8 Switzerland 77.4

This bar chart explains how France both Guadeloupe and Martinique have the most cases of prostate cancer in 2018 which ranges from about 150 - 200 people.

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Year Production in thousand heads Dec 31, 2004 287.67 Dec 31, 2005 349.43 Dec 31, 2006 428.26 Dec 31, 2007 477.48 Dec 31, 2008 514.23 Dec 31, 2009 496.19 Dec 31, 2010 476.43 Dec 31, 2011 462.51 Dec 31, 2012 435 Dec 31, 2013 429.44 Dec 31, 2014 431.65 Dec 31, 2015 416.53 Dec 31, 2016 431.26 Dec 31, 2017 443.73

The goat production in Malaysia from 2005 to 2009 jumped from less than 300 thousand to over 500 thousand and it was the biggest jump in the timeline between 2005-2018. Since 2009 it started to drop slightly, and it was at its lowest at 2016, with about 410 thousand. Then it started to grow slightly again.

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Year Production in thousand heads Dec 31, 2004 287.67 Dec 31, 2005 349.43 Dec 31, 2006 428.26 Dec 31, 2007 477.48 Dec 31, 2008 514.23 Dec 31, 2009 496.19 Dec 31, 2010 476.43 Dec 31, 2011 462.51 Dec 31, 2012 435 Dec 31, 2013 429.44 Dec 31, 2014 431.65 Dec 31, 2015 416.53 Dec 31, 2016 431.26 Dec 31, 2017 443.73

2009 showed the most amount of goats with over 500,000 heads, 2005 saw the least with under 300,000 heads. Between 2012 and 2015 the graph has remained pretty consistent between 400,000 to 500,000.

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Year Production in thousand heads Dec 31, 2004 287.67 Dec 31, 2005 349.43 Dec 31, 2006 428.26 Dec 31, 2007 477.48 Dec 31, 2008 514.23 Dec 31, 2009 496.19 Dec 31, 2010 476.43 Dec 31, 2011 462.51 Dec 31, 2012 435 Dec 31, 2013 429.44 Dec 31, 2014 431.65 Dec 31, 2015 416.53 Dec 31, 2016 431.26 Dec 31, 2017 443.73

Goat production increased rapidly from 2007 to 2009, from a low base, reaching a peak of over 500,000 in 2009 then declining steadily until 2016 when the trend reverses and starts to climb again. The overall production is up on 2005 from less than 300,000 head to about 430,000 head in 2017.

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Year Production in thousand heads Dec 31, 2004 287.67 Dec 31, 2005 349.43 Dec 31, 2006 428.26 Dec 31, 2007 477.48 Dec 31, 2008 514.23 Dec 31, 2009 496.19 Dec 31, 2010 476.43 Dec 31, 2011 462.51 Dec 31, 2012 435 Dec 31, 2013 429.44 Dec 31, 2014 431.65 Dec 31, 2015 416.53 Dec 31, 2016 431.26 Dec 31, 2017 443.73

Production peaked in 2009 and then slowly declined until 2016.

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Year Production value in million U.S. dollars Dec 31, 2006 46343 Dec 31, 2007 57069 Dec 31, 2008 62186 Dec 31, 2009 70830 Dec 31, 2010 85645 Dec 31, 2011 97833 Dec 31, 2012 111411 Dec 31, 2013 123832 Dec 31, 2014 126350 Dec 31, 2015 135190 Dec 31, 2016 140076

The value of aquaculture production in China increased from just over $50 million US dollars to just under $150 million US dollars in a four year period, between 2008 and 2016. The biggest rise in value was between 2010 and 2014, as the line on the chart is completely straight with no plateaus.

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Brand value (in million U.S. dollars) American football team 510 Dallas Cowboys 500 New England Patriots 471 New York Giants 460 Green Bay Packers 410 Pittsburgh Steelers 340 New Orleans Saints 337 Philadelphia Eagles 329 Baltimore Ravens 325 Houston Texans 325 Washington Football Team

Only one NFL football club has a brand value of more than $500 million and this is only slightly over $500 million. Half the NFL football clubs have a brand value of $300 million. No football clubs have a brand value of less than $300 million. The remaining four clubs have a brand value between $400 and $500 million.

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financial year Export value in billion Indian rupees FY 2020 256.51 FY 2019 231.17 FY 2018 200.2 FY 2017 191.1 FY 2016 166.3 FY 2015 148.48 FY 2014 151.46 FY 2013 151.77 FY 2012 131.03 FY 2011 78.87

Export value of Spices from India started at a low point of 80 billion rupees in 2011. This had increased dramatically to over 250 billion rupees in 2020. Increase was quite uniformly spread, except for a stagnating period between 2013 to 2015.

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Year Household income in current U.S. dollars Dec 31, 1989 27464 Dec 31, 1990 27868 Dec 31, 1991 29617 Dec 31, 1992 27438 Dec 31, 1993 30316 Dec 31, 1994 33858 Dec 31, 1995 34696 Dec 31, 1996 32772 Dec 31, 1997 35640 Dec 31, 1998 38862 Dec 31, 1999 37266 Dec 31, 2000 36612 Dec 31, 2001 36853 Dec 31, 2002 37113 Dec 31, 2003 41329 Dec 31, 2004 43923 Dec 31, 2005 45642 Dec 31, 2006 47894 Dec 31, 2007 47228 Dec 31, 2008 47502 Dec 31, 2009 47931 Dec 31, 2010 49693 Dec 31, 2011 49158 Dec 31, 2012 50121 Dec 31, 2013 51710 Dec 31, 2014 50756 Dec 31, 2015 50856 Dec 31, 2016 51664 Dec 31, 2017 58663 Dec 31, 2018 66546

From 1990 the data shows an overall trend of increasing. There is a near constant increase in median household income before a sudden sharp increase that occurs just before 2019.

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Year Household income in current U.S. dollars Dec 31, 1989 27464 Dec 31, 1990 27868 Dec 31, 1991 29617 Dec 31, 1992 27438 Dec 31, 1993 30316 Dec 31, 1994 33858 Dec 31, 1995 34696 Dec 31, 1996 32772 Dec 31, 1997 35640 Dec 31, 1998 38862 Dec 31, 1999 37266 Dec 31, 2000 36612 Dec 31, 2001 36853 Dec 31, 2002 37113 Dec 31, 2003 41329 Dec 31, 2004 43923 Dec 31, 2005 45642 Dec 31, 2006 47894 Dec 31, 2007 47228 Dec 31, 2008 47502 Dec 31, 2009 47931 Dec 31, 2010 49693 Dec 31, 2011 49158 Dec 31, 2012 50121 Dec 31, 2013 51710 Dec 31, 2014 50756 Dec 31, 2015 50856 Dec 31, 2016 51664 Dec 31, 2017 58663 Dec 31, 2018 66546

Between 1990 and 2019, the median household income in Maine has almost tripled. There were periods between 1990 and 2019 where the median household income in Maine dipped following an increase in previous years. Following the current trend, it would be expected that the median household income in Maine would continue to increase.

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Year Household income in current U.S. dollars Dec 31, 1989 27464 Dec 31, 1990 27868 Dec 31, 1991 29617 Dec 31, 1992 27438 Dec 31, 1993 30316 Dec 31, 1994 33858 Dec 31, 1995 34696 Dec 31, 1996 32772 Dec 31, 1997 35640 Dec 31, 1998 38862 Dec 31, 1999 37266 Dec 31, 2000 36612 Dec 31, 2001 36853 Dec 31, 2002 37113 Dec 31, 2003 41329 Dec 31, 2004 43923 Dec 31, 2005 45642 Dec 31, 2006 47894 Dec 31, 2007 47228 Dec 31, 2008 47502 Dec 31, 2009 47931 Dec 31, 2010 49693 Dec 31, 2011 49158 Dec 31, 2012 50121 Dec 31, 2013 51710 Dec 31, 2014 50756 Dec 31, 2015 50856 Dec 31, 2016 51664 Dec 31, 2017 58663 Dec 31, 2018 66546

Since around 2017 there has been a sharp increase on the medium household income.

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Year Per capita consumption in pounds Dec 31, 1999 11.12 Dec 31, 2000 11.16 Dec 31, 2001 11.1 Dec 31, 2002 10.79 Dec 31, 2003 9.81 Dec 31, 2004 9.58 Dec 31, 2005 9.25 Dec 31, 2006 9.58 Dec 31, 2007 8.87 Dec 31, 2008 9.05 Dec 31, 2009 8.54 Dec 31, 2010 8.65 Dec 31, 2011 7.51 Dec 31, 2012 8.28 Dec 31, 2013 6.6 Dec 31, 2014 6.77 Dec 31, 2015 7.54 Dec 31, 2016 7.33 Dec 31, 2017 7.04 Dec 31, 2018 6.11

Capita consumption of melons seems to show a steady decline apart from a slight rise in 2012/13.

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Year Per capita consumption in pounds Dec 31, 1999 11.12 Dec 31, 2000 11.16 Dec 31, 2001 11.1 Dec 31, 2002 10.79 Dec 31, 2003 9.81 Dec 31, 2004 9.58 Dec 31, 2005 9.25 Dec 31, 2006 9.58 Dec 31, 2007 8.87 Dec 31, 2008 9.05 Dec 31, 2009 8.54 Dec 31, 2010 8.65 Dec 31, 2011 7.51 Dec 31, 2012 8.28 Dec 31, 2013 6.6 Dec 31, 2014 6.77 Dec 31, 2015 7.54 Dec 31, 2016 7.33 Dec 31, 2017 7.04 Dec 31, 2018 6.11

Fresh cantaloupe consumption has continued to decrease over the 20 years with minor peaks and slumps in the data on the general trend of decreasing.

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Number of physicians Specialty area 2303 Psychiatry 2818 Surgery 2806 Anesthesiologists 2928 Emergency medicine 2684 Radiology 2107 Cardiology 1099 Oncology (cancer) 422 Endocrinology, diabetes, & metabolism 11936 All other specialities 29103 Total specialty

The total number of active physicians in specialities in Florida in 2020 is around 29,000. The highest proportion are in 'other' specialities (around 12,000), with the smallest amount being in 'Endocrinology, Diabetes and metab...' (around 1,000).

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Year Average annual salary in U.S. dollars Dec 31, 1999 21873 Dec 31, 2000 23453 Dec 31, 2001 24359 Dec 31, 2002 24936 Dec 31, 2003 26365 Dec 31, 2004 26425 Dec 31, 2005 27022 Dec 31, 2006 29570 Dec 31, 2007 29743 Dec 31, 2008 31157 Dec 31, 2009 30825 Dec 31, 2010 41450 Dec 31, 2011 44018 Dec 31, 2012 42541 Dec 31, 2013 45113 Dec 31, 2014 46306 Dec 31, 2015 47428

Overall the chart shows an increase in wages for employees.

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Number of users in millions Month 1000 Jun '18 800 Sep '17 700 Apr '17 600 Dec '16 500 Jun '16 400 Sep '15 300 Dec '14 200 Mar '14 150 Sep '13 130 Jun '13 100 Feb '13 90 Jan '13

Twitter saw very little growth in 2013. For three years Twitter had an average growth of 200 million users. Twitter has not had a loss in users from 2013-2018.

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Response Percentage of respondents Greece 0.59 Philippines 0.58 Tanzania 0.57 Albania 0.55 Iran 0.55 Sri Lanka 0.55 United States of America 0.55 Uganda 0.53 Costa Rica 0.52 Rwanda 0.52 Turkey 0.52 Venezuela 0.52

It is only one day's data therefore trends can not be identified. Greece has the highest incidence of stress but from the highest to the lowest rates there is not a great deal of difference.

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Response Share of households Dec 31, 2006 0.38 Dec 31, 2007 0.48 Dec 31, 2008 0.55 Dec 31, 2009 0.6 Dec 31, 2010 0.65 Dec 31, 2011 0.69 Dec 31, 2012 0.71 Dec 31, 2013 0.75 Dec 31, 2014 0.76 Dec 31, 2015 0.81 Dec 31, 2016 0.82 Dec 31, 2017 0.83

in less than 10 years, from 2007 to 2018 there has been quite a quick increase in houses with internet access in Hungary. the results seem to be climbing quickly rather than gradually.

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Year Deaths per 1,000 live births Dec 31, 2008 25.1 Dec 31, 2009 24.1 Dec 31, 2010 23.1 Dec 31, 2011 22.2 Dec 31, 2012 21.4 Dec 31, 2013 20.6 Dec 31, 2014 19.9 Dec 31, 2015 19.2 Dec 31, 2016 18.5 Dec 31, 2017 17.9 Dec 31, 2018 17.3

Egyptian infant mortality steadily decreases from 2009 to 2019. The rate drops from 25 deaths per 1,000 live births in 2009 to around 18 deaths per live births in 2019.

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province of Canada Total donations in 1,000 Canadian dollars Ontario 4330225 British Columbia 1758810 Alberta 1603995 Quebec 951820 Manitoba 468355 Saskatchewan 362220 Nova Scotia 192555 New Brunswick 153660 Newfoundland and Labrador 80695 Prince Edward Island 34070 Yukon 7155 Northwest Territories 5985 Nunavut 2960

Only three from Canadian provinces and territories had total of charitable donations over 1,000,000 Canadian Dollars in 2018. That was Alberta, British Columbia and Ontario. While number of charitable donations in Ontario was the highest (over 4,000,000), British Columbia and Alberta had the numbers closer to 2,000,000 each. 9 of provinces and territories have the number below 500,000 and only Quebec can be placed on the 4th place with number just below 1,000,000.

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Revenue in million U.S. dollars Year 119 2018/19 111 2017/18 106 2016/17 100 2015/16 99 2014/15 86 2013/14 69 2012/13* 85 2011/12 80 2010/11 76 2009/10 77 2008/09 71 2007/08 68 2006/07 66 2005/06

From 2018/2019 to 2013, there was a steady decrease in sales with the amount sold being around $75m dollars. From 2012 sales began to rise again but have never hit $100m.

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Year Evolution of the GDP Dec 31, 1999 0.039 Dec 31, 2000 0.02 Dec 31, 2001 0.011 Dec 31, 2002 0.008 Dec 31, 2003 0.028 Dec 31, 2004 0.017 Dec 31, 2005 0.024 Dec 31, 2006 0.024 Dec 31, 2007 0.003 Dec 31, 2008 −0.029 Dec 31, 2009 0.019 Dec 31, 2010 0.022 Dec 31, 2011 0.003 Dec 31, 2012 0.006 Dec 31, 2013 0.01 Dec 31, 2014 0.011 Dec 31, 2015 0.011 Dec 31, 2016 0.023 Dec 31, 2017 0.017

The Gross domestic Product in France is up and down.

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2009 showed France’s lowest GDP. With a range between in GDP of 0.04 to 0.018. The GDP remained steady between 2000 to 2015 with the exception of 2009.

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Load factor in percentage Year 0.62 2019* 0.7 2018 0.78 2017 0.79 2016 0.87 2015 0.71 2014 0.65 2013 0.4 2012 0.27 2011 0.61 2010

There been an increase over the first 5 years reaches a peak then then starts decreasing thereafter.

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Year Number of people in thousands Dec 31, 2008 104950 Dec 31, 2009 106613 Dec 31, 2010 107842 Dec 31, 2011 111239 Dec 31, 2012 114712 Dec 31, 2013 117213 Dec 31, 2014 117865 Dec 31, 2015 118524 Dec 31, 2016 122943 Dec 31, 2017 123935 Dec 31, 2018 127139

The number of people who used marijuana in their lifetime has increased from 2010 to 2018.

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Financial year R&D spending in billion Japanese yen Dec 31, 2006 890.78 Dec 31, 2007 958.88 Dec 31, 2008 904.08 Dec 31, 2009 725.35 Dec 31, 2010 730.34 Dec 31, 2011 779.81 Dec 31, 2012 807.45 Dec 31, 2013 910.52 Dec 31, 2014 1004.55 Dec 31, 2015 1055.6 Dec 31, 2016 1037.5 Dec 31, 2017 1064.2 Dec 31, 2018 1048.8 Dec 31, 2019 1110.3

There is a 10 year difference between the lowest spending year and highest spending year. The drop in spend between 2008 and 2010 was likely due to the financial crisis.

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Year Number of wildland fires Dec 31, 1989 66481 Dec 31, 1994 82234 Dec 31, 1999 92250 Dec 31, 2000 84079 Dec 31, 2001 73457 Dec 31, 2002 63629 Dec 31, 2003 65461 Dec 31, 2004 66753 Dec 31, 2005 96385 Dec 31, 2006 85705 Dec 31, 2007 78979 Dec 31, 2008 78792 Dec 31, 2009 71971 Dec 31, 2010 74126 Dec 31, 2011 67774 Dec 31, 2012 47579 Dec 31, 2013 63312 Dec 31, 2014 68151 Dec 31, 2015 67743 Dec 31, 2016 71499 Dec 31, 2017 58083 Dec 31, 2018 50477

From 1990 to 2000 there was a steady increase in wildfires. After a large spike in 2006, and despite some later peaks, the number of wildfires has continued on a downwards trend falling below 1990 levels.

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There has been varying number of Number of wildland fires in the United States from 1990 to 2019 with them highest number in 2006/2007. There was a rapid decline until 2012 and then there has been an increase.

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Year Production value in million U.S. dollars Dec 31, 1999 2812.1 Dec 31, 2000 2771.3 Dec 31, 2001 2913.6 Dec 31, 2002 3439.2 Dec 31, 2003 4151.6 Dec 31, 2004 4963.7 Dec 31, 2005 6630.2 Dec 31, 2006 7121.3 Dec 31, 2007 7045.7 Dec 31, 2008 6421.9 Dec 31, 2009 7817.9

In 2010 the production value was the highest. There was a dip in production value between 2008 and 2010.

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Year Production value in million U.S. dollars Dec 31, 1999 2812.1 Dec 31, 2000 2771.3 Dec 31, 2001 2913.6 Dec 31, 2002 3439.2 Dec 31, 2003 4151.6 Dec 31, 2004 4963.7 Dec 31, 2005 6630.2 Dec 31, 2006 7121.3 Dec 31, 2007 7045.7 Dec 31, 2008 6421.9 Dec 31, 2009 7817.9

From 2000 to 2007, the value increases steeply before very slightly tapering off. At 2007, it begins to decline again, but this is corrected by 2009, where it recovers and increases with the same gradient as previously.

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Year Stillborn children per thousand births Dec 31, 2008 4.02 Dec 31, 2009 3.67 Dec 31, 2010 3.82 Dec 31, 2011 3.99 Dec 31, 2012 3.87 Dec 31, 2013 3.95 Dec 31, 2014 3.72 Dec 31, 2015 3.51 Dec 31, 2016 3.45 Dec 31, 2017 3.8 Dec 31, 2018 3.19

Generally the number of still births are going down. 2009, 2012 and 2014 had the highest amount of still births. 2019 had the lowest amount of still births recorded.

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Year Average wage in U.S. dollars Dec 31, 1999 15904.75 Dec 31, 2000 16811.85 Dec 31, 2001 16747.59 Dec 31, 2002 17039.28 Dec 31, 2003 17139.21 Dec 31, 2004 17244.57 Dec 31, 2005 17217.98 Dec 31, 2006 17283.74 Dec 31, 2007 17150.17 Dec 31, 2008 17268.96 Dec 31, 2009 16183.11 Dec 31, 2010 16328.24 Dec 31, 2011 16050.3 Dec 31, 2012 16050.28 Dec 31, 2013 16028.6 Dec 31, 2014 16231.23 Dec 31, 2015 16135.65 Dec 31, 2016 16110.18 Dec 31, 2017 16297.71

Between 2000 and 2010 the annual wage was consistently around 18,000 dropping to around 16,000 between 2010 and 2015.

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Year Average wage in U.S. dollars Dec 31, 1999 15904.75 Dec 31, 2000 16811.85 Dec 31, 2001 16747.59 Dec 31, 2002 17039.28 Dec 31, 2003 17139.21 Dec 31, 2004 17244.57 Dec 31, 2005 17217.98 Dec 31, 2006 17283.74 Dec 31, 2007 17150.17 Dec 31, 2008 17268.96 Dec 31, 2009 16183.11 Dec 31, 2010 16328.24 Dec 31, 2011 16050.3 Dec 31, 2012 16050.28 Dec 31, 2013 16028.6 Dec 31, 2014 16231.23 Dec 31, 2015 16135.65 Dec 31, 2016 16110.18 Dec 31, 2017 16297.71

You can see that the annual wage stays on a pretty steady track, there is a slight dip in 2010 but it then remains on a consistent track.

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Rushing yards Atlanta Falcons all-time rushing leader 6631 Gerald Riggs 6081 Michael Turner 5986 William Andrews 5981 Warrick Dunn 5336 Jamal Anderson 3972 Devonta Freeman 3859 Michael Vick 3482 Dave Hampton 2662 Haskel Stanback 2340 Tevin Coleman 2263 Lynn Cain 2250 Cannonball Butler 2183 Craig Heyward 2175 T.J. Duckett 2118 Art Malone 1995 Jerious Norwood 1981 Erric Pegram 1801 John Settle 1612 Junior Coffey 1528 Bubba Bean

Warrick Dunn and William Andrews are equal with 6000, the majority of them have under 3000, Gerard Riggs has had the most.

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Month Number of new cases Mar 03, 2020 1 Mar 04, 2020 0 Mar 05, 2020 0 Mar 06, 2020 0 Mar 07, 2020 1 Mar 08, 2020 0 Mar 09, 2020 3 Mar 10, 2020 2 Mar 11, 2020 0 Mar 12, 2020 9 Mar 13, 2020 2 Mar 14, 2020 0 Mar 15, 2020 2 Mar 16, 2020 4 Mar 17, 2020 5 Mar 18, 2020 10 Mar 19, 2020 15 Mar 20, 2020 6 Mar 21, 2020 15 Mar 22, 2020 14 Mar 23, 2020 25 Mar 24, 2020 59 Mar 25, 2020 24 Mar 26, 2020 30 Mar 27, 2020 51 Mar 28, 2020 34 Mar 29, 2020 0 Mar 30, 2020 82 Mar 31, 2020 29 Apr 01, 2020 32 Apr 02, 2020 40 Apr 03, 2020 58 Apr 04, 2020 21 Apr 05, 2020 22 Apr 06, 2020 27 Apr 07, 2020 5 Apr 08, 2020 15 Apr 09, 2020 28 Apr 10, 2020 14 Apr 11, 2020 22 Apr 12, 2020 19 Apr 13, 2020 21 Apr 14, 2020 33 Apr 15, 2020 42 Apr 16, 2020 42 Apr 17, 2020 0 Apr 18, 2020 15 Apr 19, 2020 5 Apr 20, 2020 17 Apr 21, 2020 25 Apr 22, 2020 9 Apr 23, 2020 4 Apr 24, 2020 17 Apr 25, 2020 10 Apr 26, 2020 18 Apr 27, 2020 8 Apr 28, 2020 5 Apr 29, 2020 14 Apr 30, 2020 4 May 01, 2020 11 May 02, 2020 4 May 03, 2020 5 May 04, 2020 4 May 05, 2020 3 May 06, 2020 1 May 07, 2020 4 May 08, 2020 2 May 09, 2020 0 May 10, 2020 0 May 11, 2020 0 May 12, 2020 0 May 13, 2020 0 May 14, 2020 3 May 15, 2020 2 May 16, 2020 0 May 17, 2020 6 May 18, 2020 1 May 19, 2020 1 May 20, 2020 1 May 21, 2020 2 May 22, 2020 0 May 23, 2020 3 May 24, 2020 0 May 25, 2020 0 May 26, 2020 0 May 27, 2020 17 May 28, 2020 3 May 29, 2020 5 May 30, 2020 1 May 31, 2020 7 Jun 01, 2020 2 Jun 02, 2020 1 Jun 03, 2020 0 Jun 04, 2020 0 Jun 05, 2020 0 Jun 06, 2020 0 Jun 07, 2020 0 Jun 08, 2020 0 Jun 09, 2020 0 Jun 10, 2020 0 Jun 11, 2020 6 Jun 12, 2020 1 Jun 13, 2020 2 Jun 14, 2020 14 Jun 15, 2020 15 Jun 16, 2020 3 Jun 17, 2020 4 Jun 18, 2020 14 Jun 19, 2020 10 Jun 20, 2020 1 Jun 21, 2020 2 Jun 22, 2020 0 Jun 23, 2020 1 Jun 24, 2020 2 Jun 25, 2020 2 Jun 26, 2020 4 Jun 27, 2020 1 Jun 28, 2020 3 Jun 29, 2020 2 Jun 30, 2020 1 Jul 01, 2020 3 Jul 02, 2020 3 Jul 03, 2020 5 Jul 04, 2020 2 Jul 05, 2020 11 Jul 06, 2020 6 Jul 07, 2020 16 Jul 08, 2020 10 Jul 09, 2020 9 Jul 10, 2020 5 Jul 11, 2020 18 Jul 12, 2020 39 Jul 13, 2020 4 Jul 14, 2020 13 Jul 15, 2020 8 Jul 16, 2020 9 Jul 17, 2020 12 Jul 18, 2020 26 Jul 19, 2020 7 Jul 20, 2020 8 Jul 21, 2020 5 Jul 22, 2020 12 Jul 23, 2020 19 Jul 24, 2020 18 Jul 25, 2020 9 Jul 26, 2020 3 Jul 27, 2020 13 Jul 28, 2020 20 Jul 29, 2020 26 Jul 30, 2020 21 Jul 31, 2020 17 Aug 01, 2020 9 Aug 02, 2020 4 Aug 03, 2020 19 Aug 04, 2020 17 Aug 05, 2020 41 Aug 06, 2020 14 Aug 07, 2020 22 Aug 08, 2020 19 Aug 09, 2020 20 Aug 10, 2020 21 Aug 11, 2020 42 Aug 12, 2020 67 Aug 13, 2020 56 Aug 14, 2020 120 Aug 15, 2020 84 Aug 16, 2020 78 Aug 17, 2020 129 Aug 18, 2020 113 Aug 19, 2020 116 Aug 20, 2020 64 Aug 21, 2020 131 Aug 22, 2020 80 Aug 23, 2020 75 Aug 24, 2020 176 Aug 25, 2020 137 Aug 26, 2020 117 Aug 27, 2020 138 Aug 28, 2020 111 Aug 29, 2020 113 Aug 30, 2020 118 Aug 31, 2020 160 Sep 01, 2020 223 Sep 02, 2020 198 Sep 03, 2020 148 Sep 04, 2020 234 Sep 05, 2020 265 Sep 06, 2020 83 Sep 07, 2020 293 Sep 08, 2020 0 Sep 09, 2020 465 Sep 10, 2020 377 Sep 11, 2020 376 Sep 12, 2020 0 Sep 13, 2020 747 Sep 14, 2020 241 Sep 15, 2020 477 Sep 16, 2020 470 Sep 17, 2020 0 Sep 18, 2020 540 Sep 19, 2020 1622 Sep 20, 2020 528 Sep 21, 2020 0 Sep 22, 2020 1219 Sep 23, 2020 826 Sep 24, 2020 1087 Sep 25, 2020 0 Sep 26, 2020 1722 Sep 27, 2020 0 Sep 28, 2020 1291 Sep 29, 2020 1008 Sep 30, 2020 0 Oct 01, 2020 1308 Oct 02, 2020 1223 Oct 03, 2020 1286 Oct 04, 2020 0 Oct 05, 2020 0 Oct 06, 2020 2312 Oct 07, 2020 2357 Oct 08, 2020 0 Oct 09, 2020 4360 Oct 10, 2020 1297 Oct 11, 2020 0 Oct 12, 2020 0 Oct 13, 2020 2234 Oct 14, 2020 0 Oct 15, 2020 0 Oct 16, 2020 5752 Oct 17, 2020 0 Oct 18, 2020 2185 Oct 19, 2020 1723 Oct 20, 2020 1422 Oct 21, 2020 0 Oct 22, 2020 1322 Oct 23, 2020 1585 Oct 24, 2020 0 Oct 25, 2020 3600 Oct 26, 2020 0 Oct 27, 2020 1879 Oct 28, 2020 0 Oct 29, 2020 3751 Oct 30, 2020 1784 Oct 31, 2020 1302 Nov 01, 2020 791 Nov 02, 2020 1220 Nov 03, 2020 1237 Nov 04, 2020 1971 Nov 05, 2020 0 Nov 06, 2020 3209 Nov 07, 2020 1576 Nov 08, 2020 450 Nov 09, 2020 1424 Nov 10, 2020 1529 Nov 11, 2020 1584 Nov 12, 2020 1562 Nov 13, 2020 1671 Nov 14, 2020 1065 Nov 15, 2020 599 Nov 16, 2020 720 Nov 17, 2020 2049 Nov 18, 2020 0 Nov 19, 2020 2493 Nov 20, 2020 1206 Nov 21, 2020 1240 Nov 22, 2020 485 Nov 23, 2020 1017 Nov 24, 2020 1094 Nov 25, 2020 1168 Nov 26, 2020 1295 Nov 27, 2020 1210 Nov 28, 2020 1271 Nov 29, 2020 518 Nov 30, 2020 0 Dec 01, 2020 2511 Dec 02, 2020 0 Dec 03, 2020 2620 Dec 04, 2020 1091 Dec 05, 2020 1011 Dec 06, 2020 327 Dec 07, 2020 1116 Dec 08, 2020 1411 Dec 09, 2020 958 Dec 10, 2020 1290 Dec 11, 2020 1289 Dec 12, 2020 968 Dec 13, 2020 0 Dec 14, 2020 1880 Dec 15, 2020 1306 Dec 16, 2020 1419 Dec 17, 2020 1616 Dec 18, 2020 1569 Dec 19, 2020 1536 Dec 20, 2020 1031 Dec 21, 2020 1605 Dec 22, 2020 1677 Dec 23, 2020 1752 Dec 24, 2020 1826 Dec 25, 2020 1652 Dec 26, 2020 1362 Dec 27, 2020 1612 Dec 28, 2020 1598 Dec 29, 2020 2414 Dec 30, 2020 1924 Dec 31, 2020 1417 Jan 01, 2021 1422 Jan 02, 2021 1565 Jan 03, 2021 1252 Jan 04, 2021 2265 Jan 05, 2021 2820 Jan 06, 2021 2373

the number of cases was low and steady, until september 2020, at which point there was a large spike in cases which peaked in mid october. there was then a decline in cases.

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Year Real GDP in billion U.S. dollars Dec 31, 1999 56.11 Dec 31, 2000 58.88 Dec 31, 2001 56.81 Dec 31, 2002 57.96 Dec 31, 2003 60.68 Dec 31, 2004 59.97 Dec 31, 2005 61.5 Dec 31, 2006 61.24 Dec 31, 2007 58.66 Dec 31, 2008 60.4 Dec 31, 2009 60.02 Dec 31, 2010 62.02 Dec 31, 2011 61.98 Dec 31, 2012 59.16 Dec 31, 2013 63.5 Dec 31, 2014 65.88 Dec 31, 2015 63.11 Dec 31, 2016 62.74 Dec 31, 2017 62.76 Dec 31, 2018 63.28

Overall the GDP of Delaware has increased from around $55 billion in the year 2000 to over $60 billion in 2015. Generally the increase in GDP saw some small rises and dips over the 15 year period. The largest dip was in 2012 followed by the steepest rise in 2013-2015.

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Year Real GDP in billion U.S. dollars Dec 31, 1999 56.11 Dec 31, 2000 58.88 Dec 31, 2001 56.81 Dec 31, 2002 57.96 Dec 31, 2003 60.68 Dec 31, 2004 59.97 Dec 31, 2005 61.5 Dec 31, 2006 61.24 Dec 31, 2007 58.66 Dec 31, 2008 60.4 Dec 31, 2009 60.02 Dec 31, 2010 62.02 Dec 31, 2011 61.98 Dec 31, 2012 59.16 Dec 31, 2013 63.5 Dec 31, 2014 65.88 Dec 31, 2015 63.11 Dec 31, 2016 62.74 Dec 31, 2017 62.76 Dec 31, 2018 63.28

Between 2000 and 2019, Delaware's GDP increased. This increase was not a steady one, with dips and increases occurring alone the way. The largest peak/growth in Delaware's GDP took place in 2014. Between 2016 and 2019, there was a relative plateau in their GDP.

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Year Inhabitants in millions 2025* 106.24 2024* 104.56 2023* 102.92 2022* 101.3 2021* 99.7 2020* 98.13 2019* 96.59 2018* 94.14 2017* 92.66 2016 91.2 2015 89.76

The population is growing each year at a steady rate. There has been an increase from approximately 90 million in 2015 to 110 million in 2025.

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Company (Country of origin) Retail revenue in billion U.S. dollars Amazon.com (United States) 79.27 JD.com Inc. (China) 26.99 Apple Inc. (United States) 24.37 Walmart Stores, Inc. (United States) 13.7 Suning Commerce Group Co. Ltd. (China) 8.1 Otto GmbH & Co KG (Germany) 7.18 Tesco PLC (UK) 6.54 Vipshop Holdings (China) 6.08 Liberty Interactive Corporation (United States) 5.15 Macy's Inc. (United States) 4.85 The Home Depot Inc. (United States) 4.69 Best Buy Co. Inc. (United Kingdom) 4 Casino Guichard-Perrachon S.A. (France) 3.76 Costco Wholesale Operation (United States) 3.5 Zalando SE (Germany) 3.29 Home Retail Group PLC (United Kingdom) 3.04 John Lewis Partnership plc (United Kingdom) 3 Nordstrom, Inc. (United States) 2.83 Kohl's Corporation (United States) 2.8 Shop Direct Group (United Kingdom) 2.76

In 2015 and in relation to E commerce the USA produced over 3 times more than its nearest rival. The top 4 countries produced over 3 times as much as the total of all the other countries.

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Personnel per 10,000 population Country 202.6 Monaco 181.2 Norway 172.8 Switzerland 156.8 Iceland 147.2 Finland 142.9 Ireland 132 Germany 126.6 Australia 123.5 Luxembourg 120.7 Uzbekistan

Monaco was the only country to have over 200 personal per every 10,000 population in the period of 2009-2018. Ireland and Finland score similarly and so did Australia and Luxemburg.

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Year Employment in millions 2020* 2.33 2019* 2.3 2018 2.26 2017 2.2 2016 2.13 2015 2.06 2014 1.99 2013 1.94 2012 1.88 2011 1.87 2010 1.88

A bar chart about employment in Ireland from 2010-2020 in millions. Axis Y shows the range of employment from 0-2 (million). Axis X shoes the year from 2010-2020.

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Year FIFA ranking position Dec 31, 2008 81 Dec 31, 2009 58 Dec 31, 2010 54 Dec 31, 2011 56 Dec 31, 2012 80 Dec 31, 2013 75 Dec 31, 2014 54 Dec 31, 2015 77 Dec 31, 2016 54 Dec 31, 2017 54 Dec 31, 2018 56 Dec 31, 2019 48

between 2009 and 2020 there are many peaks and troughs in the trend regarding the jamaican men's soccer team's FIFA ranking. the prominent peaks include 2009, 2013 and 2016, and the prominent lowest points include 2011, 2015 and 2020.

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Year Budget balance in relation to GDP 2025* 0.0005 2024* −0.0005 2023* −0.0025 2022* −0.0062 2021* −0.0142 2020* −0.0421 2019* 0.0147 2018 0.0132 2017 0.0116 2016 0.0024 2015 0.0056

something horrible happened in 2020 that destroyed the budget and it slowly recovered but is still not where it used to be.

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Year Net income in million U.S. dollars Dec 31, 2008 49.44 Dec 31, 2009 21.21 Dec 31, 2010 19.23 Dec 31, 2011 36.09 Dec 31, 2012 36.7 Dec 31, 2013 47.92 Dec 31, 2014 64.49 Dec 31, 2015 64.07 Dec 31, 2016 63.66 Dec 31, 2017 71.21

There is generally a positive correlation between recent history and income.

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Year Birth rate per thousand population Dec 31, 2007 41.87 Dec 31, 2008 41.62 Dec 31, 2009 41.34 Dec 31, 2010 41.03 Dec 31, 2011 40.67 Dec 31, 2012 40.27 Dec 31, 2013 39.83 Dec 31, 2014 39.36 Dec 31, 2015 38.87 Dec 31, 2016 38.38 Dec 31, 2017 37.91

The birth rate in Nigeria has been decreasing since the start of the information and seems to be decreasing at a faster ratee as time goes by.

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Year Birth rate per thousand population Dec 31, 2007 41.87 Dec 31, 2008 41.62 Dec 31, 2009 41.34 Dec 31, 2010 41.03 Dec 31, 2011 40.67 Dec 31, 2012 40.27 Dec 31, 2013 39.83 Dec 31, 2014 39.36 Dec 31, 2015 38.87 Dec 31, 2016 38.38 Dec 31, 2017 37.91

The birth rate has been going down since the start of the chart.

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Year Ratio Dec 31, 2004 1.07 Dec 31, 2005 1.08 Dec 31, 2006 1.06 Dec 31, 2007 1 Dec 31, 2008 0.95 Dec 31, 2009 0.94 Dec 31, 2010 0.92 Dec 31, 2011 0.92 Dec 31, 2012 0.91 Dec 31, 2013 0.89 Dec 31, 2014 0.88 Dec 31, 2015 0.87

As the years pass by the number of administrative staff in comparison to lawyers in law firms proportionally decreases.

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Year Ratio Dec 31, 2004 1.07 Dec 31, 2005 1.08 Dec 31, 2006 1.06 Dec 31, 2007 1 Dec 31, 2008 0.95 Dec 31, 2009 0.94 Dec 31, 2010 0.92 Dec 31, 2011 0.92 Dec 31, 2012 0.91 Dec 31, 2013 0.89 Dec 31, 2014 0.88 Dec 31, 2015 0.87

A slight decline from 2006 to 2014 but not dramatic.

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Year Direct investments in billion U.S. dollars Dec 31, 1999 10.86 Dec 31, 2000 13.21 Dec 31, 2001 15.16 Dec 31, 2002 16.89 Dec 31, 2003 18.96 Dec 31, 2004 21.12 Dec 31, 2005 24.21 Dec 31, 2006 28.45 Dec 31, 2007 31.29 Dec 31, 2008 33.78 Dec 31, 2009 34.43 Dec 31, 2010 35.95 Dec 31, 2011 40.31 Dec 31, 2012 45.4 Dec 31, 2013 55.47 Dec 31, 2014 49.8 Dec 31, 2015 49.12 Dec 31, 2016 74.51 Dec 31, 2017 75.24 Dec 31, 2018 75.21

there has been a large and rapid increase in the Direct investment position of the United States in the Middle East from 2000 to 2019. There was a slight decrease around 2015. After that, it began to increase once more.

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Year Direct investments in billion U.S. dollars Dec 31, 1999 10.86 Dec 31, 2000 13.21 Dec 31, 2001 15.16 Dec 31, 2002 16.89 Dec 31, 2003 18.96 Dec 31, 2004 21.12 Dec 31, 2005 24.21 Dec 31, 2006 28.45 Dec 31, 2007 31.29 Dec 31, 2008 33.78 Dec 31, 2009 34.43 Dec 31, 2010 35.95 Dec 31, 2011 40.31 Dec 31, 2012 45.4 Dec 31, 2013 55.47 Dec 31, 2014 49.8 Dec 31, 2015 49.12 Dec 31, 2016 74.51 Dec 31, 2017 75.24 Dec 31, 2018 75.21

There has generally been steady growth in investment over the last nine years. There was a dip in investment between 2014 to 2017. Following this dip invest shot up at a much faster rate than previously.

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Twitter followers in millions World leader 81.1 Donald J. Trump, United States @RealDonaldTrump 57.9 Narendra Modi, India @NarendraModi (personal account) 51.2 Pope Francis, Vatican @Pontifex* 35.9 Narendra Modi, India @PMOIndia (institutional account) 30.2 President Trump, United States @POTUS 22.8 The White House, United States @WhiteHouse 16.1 Recep Tayyip Erdoğan, Turkey @RTErdogan 13.8 Joko Widodo, Indonesia @Jokowi 11.8 Imran Khan, Pakistan @imrankhanpti 10.4 Queen Rania, Jordan @QueenRania

Donald J. Trump has the most Twitter followers with over 80 million followers. Narenda Modi has the second most Twitter followers, with almost 60 million. Pope Francis has the third most followers with approximately 50 million. Queen Rania has the fewest followers, with around 10 million. Imran Khan, Joko Widodo, and Recep Tayyip Erdogan all have a similar number of followers, ranging from around 10 to 20 million. Both Donald J Trump and Narenda Modi both has more followers on their personal Twitter accounts than their official Twitter accounts.

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Month Number of deaths January 177 February 162 March 212 April 247 May 390 June 543 July 667 August 463 September 305 October 241 Novermeber 154 December 149

Most deaths from drowning are in July. Fewest deaths from drowning occur during November and December.

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Year Unemployment rate Dec 31, 1998 0.0758 Dec 31, 1999 0.0683 Dec 31, 2000 0.0722 Dec 31, 2001 0.0767 Dec 31, 2002 0.0757 Dec 31, 2003 0.0719 Dec 31, 2004 0.0676 Dec 31, 2005 0.0632 Dec 31, 2006 0.0604 Dec 31, 2007 0.0614 Dec 31, 2008 0.0834 Dec 31, 2009 0.0806 Dec 31, 2010 0.0751 Dec 31, 2011 0.0729 Dec 31, 2012 0.0707 Dec 31, 2013 0.0691 Dec 31, 2014 0.0691 Dec 31, 2015 0.07 Dec 31, 2016 0.0643 Dec 31, 2017 0.0583 Dec 31, 2018 0.0556 Dec 31, 2019 0.0541

unemployment rates have fluctuated between 1999 and 2020, the lowest in 2020 and the highest in 2009.

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Year Unemployment rate Dec 31, 1998 0.0758 Dec 31, 1999 0.0683 Dec 31, 2000 0.0722 Dec 31, 2001 0.0767 Dec 31, 2002 0.0757 Dec 31, 2003 0.0719 Dec 31, 2004 0.0676 Dec 31, 2005 0.0632 Dec 31, 2006 0.0604 Dec 31, 2007 0.0614 Dec 31, 2008 0.0834 Dec 31, 2009 0.0806 Dec 31, 2010 0.0751 Dec 31, 2011 0.0729 Dec 31, 2012 0.0707 Dec 31, 2013 0.0691 Dec 31, 2014 0.0691 Dec 31, 2015 0.07 Dec 31, 2016 0.0643 Dec 31, 2017 0.0583 Dec 31, 2018 0.0556 Dec 31, 2019 0.0541

Unemployment rate has dipped to its lowest recorded since 2000. The highest recorded was in 2009. The x-axis measures year in 5 year increments.

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Year Unemployment rate Dec 31, 1998 0.0758 Dec 31, 1999 0.0683 Dec 31, 2000 0.0722 Dec 31, 2001 0.0767 Dec 31, 2002 0.0757 Dec 31, 2003 0.0719 Dec 31, 2004 0.0676 Dec 31, 2005 0.0632 Dec 31, 2006 0.0604 Dec 31, 2007 0.0614 Dec 31, 2008 0.0834 Dec 31, 2009 0.0806 Dec 31, 2010 0.0751 Dec 31, 2011 0.0729 Dec 31, 2012 0.0707 Dec 31, 2013 0.0691 Dec 31, 2014 0.0691 Dec 31, 2015 0.07 Dec 31, 2016 0.0643 Dec 31, 2017 0.0583 Dec 31, 2018 0.0556 Dec 31, 2019 0.0541

The unemployment rate has defined peaks and troughs. 2020 has the lowest rate of unemployment with 2003 being the previous low. Unemployment was at it's highest in 2009. Unemployment rates in Canada appear to stay within a margin of 0.08 - 0.06.

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Receiving yards New York Giants players 9497 Amani Toomer 5476 Odell Beckham 5434 Frank Gifford 5183 Tiki Barber 4993 Joe Morrison 4845 Homer Jones 4797 Kyle Rote 4710 Chris Calloway 4676 Hakeem Nicks 4630 Ike Hilliard 4549 Victor Cruz 4376 Bob Tucker 4315 Del Shofner 4253 Aaron Thomas 4228 Jeremy Shockey 3941 Lionel Manuel 3768 Earnest Gray 3722 Mark Bavaro 3681 Plaxico Burress 3232 Bob Schnelker

From 1925 to 2020 the New York Giants all time receivers trend in yards, is around 5000 per 20 receiver's. Only Armani Toomer, broke the 5000 mark and managed nearly 10000.

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Year Per capita real GDP in chained 2012 U.S. dollars Dec 31, 1999 46491 Dec 31, 2000 45695 Dec 31, 2001 46718 Dec 31, 2002 48626 Dec 31, 2003 50981 Dec 31, 2004 53039 Dec 31, 2005 53754 Dec 31, 2006 54110 Dec 31, 2007 53812 Dec 31, 2008 51306 Dec 31, 2009 52059 Dec 31, 2010 52257 Dec 31, 2011 52755 Dec 31, 2012 52745 Dec 31, 2013 52688 Dec 31, 2014 54277 Dec 31, 2015 55273 Dec 31, 2016 56667 Dec 31, 2017 58181 Dec 31, 2018 58981

There has been a consistent in crease in gdp since 2000 with the exception of approx 2008 where there was a small drop and a very minor one approx. 2014.

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Receiving yards Indianapolis Colts players 14580 Marvin Harrison 14345 Reggie Wayne 9275 Raymond Berry 8849 T.Y. Hilton 6039 Lenny Moore 5859 Jimmy Orr 5818 Bill Brooks 5126 John Mackey 4887 Dallas Clark 4770 Roger Carr 3684 Jim Mutscheller 3547 Glenn Doughty 3511 Sean Dawkins 3391 Marcus Pollard 3304 Jessie Hester 3181 Ken Dilger 3064 Matt Bouza 3026 Don McCauley 2890 Ray Butler 2883 Willie Richardson

Marvin Harrison and Reggie Wayne are the all-time receiving leaders.

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Year Live births per thousand people Dec 31, 1799 37.98 Dec 31, 1804 37.91 Dec 31, 1809 37.74 Dec 31, 1814 37.59 Dec 31, 1819 39.26 Dec 31, 1824 39.42 Dec 31, 1829 36.94 Dec 31, 1834 36.04 Dec 31, 1839 36.4 Dec 31, 1844 36.94 Dec 31, 1849 37.24 Dec 31, 1854 34.2 Dec 31, 1859 34.72 Dec 31, 1864 37.12 Dec 31, 1869 38.14 Dec 31, 1874 39.76 Dec 31, 1879 38.8 Dec 31, 1884 36.8 Dec 31, 1889 36.62 Dec 31, 1894 36.69 Dec 31, 1899 35.91 Dec 31, 1904 33.87 Dec 31, 1909 31.75 Dec 31, 1914 26.47 Dec 31, 1919 16.71 Dec 31, 1924 20.25 Dec 31, 1929 17.64 Dec 31, 1934 14.98 Dec 31, 1939 17.93 Dec 31, 1944 15.78 Dec 31, 1949 16.52 Dec 31, 1954 15.7 Dec 31, 1959 16.6 Dec 31, 1964 17.7 Dec 31, 1969 16 Dec 31, 1974 11.3 Dec 31, 1979 10.3 Dec 31, 1984 10.7 Dec 31, 1989 11 Dec 31, 1994 9.9 Dec 31, 1999 9.6 Dec 31, 2004 8.8 Dec 31, 2009 8.4 Dec 31, 2014 8.5 Dec 31, 2019 9.4

The birthrate in Germany has decreased drmatically over the past 200 years, with only slight blips upward. In 1800, there were approximately 38 births per 100,000; as of 2000, there were 10.

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inflation-adjusted RevPAR (in 2005 U.S. dollars) Year 71.68 2014** 68.74 2013** 66.15 2012 63.27 2011 60.36 2010 58.19 2009 69.58 2008 73.71 2007 71.45 2006 68.48 2005 65.15 2004 61.96 2003 63.11 2002

Revenue has on the whole been rising but suffered a dramatic decrease in 2007/2008.

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Smartphone users in billions Year 3.8 2021* 3.5 2020* 3.2 2019 2.9 2018 2.7 2017 2.5 2016 1.86 2015 1.57 2014 1.31 2013 1.06 2012

The number of smartphone users increased at a steady rate year on year.

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Year Percent change Dec 31, 2000 0.0332 Dec 31, 2001 0.0161 Dec 31, 2002 0.0103 Dec 31, 2003 0.0143 Dec 31, 2004 0.033 Dec 31, 2005 0.0497 Dec 31, 2006 0.0452 Dec 31, 2007 0.0124 Dec 31, 2008 0.0015 Dec 31, 2009 0.0003 Dec 31, 2010 0.0006 Dec 31, 2011 0.0008 Dec 31, 2012 0.0005 Dec 31, 2013 0.0003 Dec 31, 2014 0.0006 Dec 31, 2015 0.0033 Dec 31, 2016 0.0095 Dec 31, 2017 0.02

The highest percent change of 0.05 occurred in 2006. There was a very low rate of change between 2009 and 2015. After 2015 the rate began to rise again. The rises and falls are all relatively rapid.

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Year Percent change Dec 31, 2000 0.0332 Dec 31, 2001 0.0161 Dec 31, 2002 0.0103 Dec 31, 2003 0.0143 Dec 31, 2004 0.033 Dec 31, 2005 0.0497 Dec 31, 2006 0.0452 Dec 31, 2007 0.0124 Dec 31, 2008 0.0015 Dec 31, 2009 0.0003 Dec 31, 2010 0.0006 Dec 31, 2011 0.0008 Dec 31, 2012 0.0005 Dec 31, 2013 0.0003 Dec 31, 2014 0.0006 Dec 31, 2015 0.0033 Dec 31, 2016 0.0095 Dec 31, 2017 0.02

There has been a very small change in total return of treasury bills between the year 2010 and 2015. The highest change occurred in 2006/2007.

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Number of affected people Country 4000000 Brazil (January 11, 1966) 2500000 India (July 1986) 2100000 China (May 2010) 1100000 India (September 12, 1995) 700000 Peru (January 1983) 300000 Afghanistan (January 13, 2006) 265865 Nepal (July 15, 2002) 237600 China (May 4, 2016) 229548 Indonesia (March 31, 2003) 217988 Philippines (December 19, 2003)

The country with the largest number of people affected by mudslide incidents is Brazil, at 4million. China and India are the only countries shown on the graph to have had 2 mudslide incidents. Half of the mudslides shown affected less than 300,000 people.

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Number of affected people Country 4000000 Brazil (January 11, 1966) 2500000 India (July 1986) 2100000 China (May 2010) 1100000 India (September 12, 1995) 700000 Peru (January 1983) 300000 Afghanistan (January 13, 2006) 265865 Nepal (July 15, 2002) 237600 China (May 4, 2016) 229548 Indonesia (March 31, 2003) 217988 Philippines (December 19, 2003)

Brazil had the largest number of effected peopleThere are 10 countries been effected by majore mudslides.

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Number of affected people Country 4000000 Brazil (January 11, 1966) 2500000 India (July 1986) 2100000 China (May 2010) 1100000 India (September 12, 1995) 700000 Peru (January 1983) 300000 Afghanistan (January 13, 2006) 265865 Nepal (July 15, 2002) 237600 China (May 4, 2016) 229548 Indonesia (March 31, 2003) 217988 Philippines (December 19, 2003)

the graph shows that in areas of major population that there has ben an increase in the number of effected people.

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Mortality rate per 100,000 population Country 202.6 Slovakia 174.7 USA: Black 154.2 Denmark 153.9 Spain 151.4 China 136.7 Japan 134.7 Australia 126.8 USA: White 100 Colombia 99.3 Costa Rica

Slovakian men have the highest mortality rate for cancer, accounting for 200 deaths in 100,000. In the USA, black men are significantly at risk than white men. Colombia and Costa Rica have the lowest mortality rates.

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Touchdowns scored Cincinnati Bengals players 70 Pete Johnson 66 Chad Johnson 64 Carl Pickens 64 James Brooks 63 A.J. Green 53 Isaac Curtis 50 Corey Dillon 49 Rudi Johnson 41 Eddie Brown 40 Larry Kinnebrew 38 T.J. Houshmandzadeh 36 Cris Collinsworth 36 Darnay Scott 35 Bob Trumpy 34 Rodney Holman 31 Giovani Bernard 30 Jeremy Hill 29 Essex Johnson 27 Boobie Clark 27 Ickey Woods

The players are arranged alphabetically by first name.

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Number of downloads Country 935990 Brazil 772721 France 464402 United States 304738 Canada 275055 United Kingdom 275055 Russian Federation 260841 Australia 211240 Italy 205436 China 200023 India

Brazil had the largest amount of illegal downloads, with France and the United States following closely behind. India, China, and Italy show the fewest amount of illegal downloads.

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Country Mortality rate Nunavut 21.4 Manitoba 5.9 New Brunswick 5.7 Newfoundland and Labrador 5.5 Saskatchewan 5.5 Quebec 5 Ontario 4.9 Nova Scotia 4.6 Northwest Territories 4.4 Alberta 4.3 British Columbia 3.8 Prince Edward Island 3.5 Yukon 2.2 Canada 4.8

The bar chart showing rates of infant mortality in 2012 by Provence/Territory. Yukon being the lowest recorded and Nunuvat being the highest by a large margin.

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Year Population in thousands Dec 31, 1817 852 Dec 31, 1818 853 Dec 31, 1819 855 Dec 31, 1820 858 Dec 31, 1821 862 Dec 31, 1822 868 Dec 31, 1823 873 Dec 31, 1824 878 Dec 31, 1825 884 Dec 31, 1826 889 Dec 31, 1827 895 Dec 31, 1828 900 Dec 31, 1829 906 Dec 31, 1830 911 Dec 31, 1831 917 Dec 31, 1832 923 Dec 31, 1833 928 Dec 31, 1834 934 Dec 31, 1835 940 Dec 31, 1836 946 Dec 31, 1837 951 Dec 31, 1838 957 Dec 31, 1839 963 Dec 31, 1840 969 Dec 31, 1841 975 Dec 31, 1842 981 Dec 31, 1843 987 Dec 31, 1844 993 Dec 31, 1845 999 Dec 31, 1846 1010 Dec 31, 1847 1010 Dec 31, 1848 1020 Dec 31, 1849 1020 Dec 31, 1850 1030 Dec 31, 1851 1040 Dec 31, 1852 1040 Dec 31, 1853 1050 Dec 31, 1854 1060 Dec 31, 1855 1060 Dec 31, 1856 1070 Dec 31, 1857 1070 Dec 31, 1858 1080 Dec 31, 1859 1090 Dec 31, 1860 1090 Dec 31, 1861 1100 Dec 31, 1862 1110 Dec 31, 1863 1110 Dec 31, 1864 1120 Dec 31, 1865 1130 Dec 31, 1866 1130 Dec 31, 1867 1140 Dec 31, 1868 1150 Dec 31, 1869 1160 Dec 31, 1870 1180 Dec 31, 1871 1190 Dec 31, 1872 1210 Dec 31, 1873 1230 Dec 31, 1874 1250 Dec 31, 1875 1270 Dec 31, 1876 1290 Dec 31, 1877 1310 Dec 31, 1878 1330 Dec 31, 1879 1350 Dec 31, 1880 1370 Dec 31, 1881 1390 Dec 31, 1882 1410 Dec 31, 1883 1430 Dec 31, 1884 1450 Dec 31, 1885 1480 Dec 31, 1886 1500 Dec 31, 1887 1520 Dec 31, 1888 1540 Dec 31, 1889 1560 Dec 31, 1890 1580 Dec 31, 1891 1600 Dec 31, 1892 1620 Dec 31, 1893 1630 Dec 31, 1894 1650 Dec 31, 1895 1670 Dec 31, 1896 1690 Dec 31, 1897 1710 Dec 31, 1898 1730 Dec 31, 1899 1750 Dec 31, 1900 1770 Dec 31, 1901 1790 Dec 31, 1902 1810 Dec 31, 1903 1830 Dec 31, 1904 1850 Dec 31, 1905 1870 Dec 31, 1906 1890 Dec 31, 1907 1910 Dec 31, 1908 1930 Dec 31, 1909 1950 Dec 31, 1910 1970 Dec 31, 1911 1990 Dec 31, 1912 2000 Dec 31, 1913 2020 Dec 31, 1914 2030 Dec 31, 1915 2050 Dec 31, 1916 2060 Dec 31, 1917 2080 Dec 31, 1918 2090 Dec 31, 1919 2110 Dec 31, 1920 2130 Dec 31, 1921 2140 Dec 31, 1922 2160 Dec 31, 1923 2170 Dec 31, 1924 2190 Dec 31, 1925 2210 Dec 31, 1926 2220 Dec 31, 1927 2240 Dec 31, 1928 2260 Dec 31, 1929 2270 Dec 31, 1930 2290 Dec 31, 1931 2310 Dec 31, 1932 2330 Dec 31, 1933 2340 Dec 31, 1934 2360 Dec 31, 1935 2380 Dec 31, 1936 2400 Dec 31, 1937 2410 Dec 31, 1938 2430 Dec 31, 1939 2450 Dec 31, 1940 2470 Dec 31, 1941 2490 Dec 31, 1942 2510 Dec 31, 1943 2530 Dec 31, 1944 2540 Dec 31, 1945 2560 Dec 31, 1946 2580 Dec 31, 1947 2600 Dec 31, 1948 2630 Dec 31, 1949 2661.3 Dec 31, 1950 2710.65 Dec 31, 1951 2764.71 Dec 31, 1952 2821.31 Dec 31, 1953 2878.84 Dec 31, 1954 2936.3 Dec 31, 1955 2993.28 Dec 31, 1956 3049.93 Dec 31, 1957 3106.9 Dec 31, 1958 3165.19 Dec 31, 1959 3225.66 Dec 31, 1960 3288.6 Dec 31, 1961 3353.23 Dec 31, 1962 3417.57 Dec 31, 1963 3479 Dec 31, 1964 3535.63 Dec 31, 1965 3586.63 Dec 31, 1966 3632.68 Dec 31, 1967 3675.45 Dec 31, 1968 3717.48 Dec 31, 1969 3760.54 Dec 31, 1970 3805.29 Dec 31, 1971 3851.15 Dec 31, 1972 3897.26 Dec 31, 1973 3942.22 Dec 31, 1974 3985.11 Dec 31, 1975 4025.27 Dec 31, 1976 4063.19 Dec 31, 1977 4100.36 Dec 31, 1978 4138.82 Dec 31, 1979 4179.85 Dec 31, 1980 4222.48 Dec 31, 1981 4265.18 Dec 31, 1982 4307.91 Dec 31, 1983 4350.57 Dec 31, 1984 4392.14 Dec 31, 1985 4435.93 Dec 31, 1986 4479.52 Dec 31, 1987 4509.46 Dec 31, 1988 4507.82 Dec 31, 1989 4463.42 Dec 31, 1990 4369.32 Dec 31, 1991 4233.67 Dec 31, 1992 4078.94 Dec 31, 1993 3936.53 Dec 31, 1994 3829.05 Dec 31, 1995 3764.42 Dec 31, 1996 3736.07 Dec 31, 1997 3734.34 Dec 31, 1998 3743.35 Dec 31, 1999 3751.18 Dec 31, 2000 3755.51 Dec 31, 2001 3759.39 Dec 31, 2002 3762.18 Dec 31, 2003 3764.19 Dec 31, 2004 3765.33 Dec 31, 2005 3765.42 Dec 31, 2006 3762.79 Dec 31, 2007 3754.26 Dec 31, 2008 3735.95 Dec 31, 2009 3705.48 Dec 31, 2010 3661.17 Dec 31, 2011 3604.97 Dec 31, 2012 3542.6 Dec 31, 2013 3482.11 Dec 31, 2014 3429.36 Dec 31, 2015 3386.26 Dec 31, 2016 3351.53 Dec 31, 2017 3323.93 Dec 31, 2018 3301 Dec 31, 2019 3280.82

In 1818 the population of Bosnia and Herzegovina was around 900000, there is an upward trend which increases more quickly, reaching a peak of around 4500000 in around 1990. By 2020 population had fallen to around 3300000.

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Monthly active users in millions Facebook game 10 Texas Holdem Poker 10 8 Ball Pool 10 Candy Crush Saga 10 Farm Heroes Saga 10 Coin Master 5 Subway Surfers 5 Clash of Clans 5 Dragon City 5 Hay Day 5 Trivia Crack

The popular Facebook games as of October 2020 based on monthly active users (in millions) were Candy Crush Saga, 8 Ball Pool, Coin masters, farm here saga, and Texas holdem poker. The least popular Facebook games as of October 2020 based on monthly active users (in millions) were clash of clans, dragon city, hay day, subway surfers and trivia crack.

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Export value in million SEK Country 162524 Norway 159149 Germany 120872 United States 108865 Finland 105248 Denmark 81959 United Kingdom 79623 Netherlands 71593 China 61466 France 60830 Belgium 49306 Poland 41598 Italy 30280 Spain 24973 Japan 21903 Russia 17641 Australia 17240 Switzerland 14819 Austria 14055 Korea 13142 Turkey

Norway is the main export partner of Sweden closely followed by Germany. Turkey, Korea and Austria had very low export values. A countries proximity to Sweden does not seem to directly affect its export value.

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National debt in relation to GDP Year 0.3533 2025* 0.3695 2024* 0.4074 2023* 0.475 2022* 0.5675 2021* 0.7174 2020* 0.6543 2019 0.4819 2018 0.6521 2017 1.1425 2016 0.5937 2015

the national debt in relation to GDP was highest in 2016. It was lowest in 2018. Bar chart also has listings for 2020-2025, showing projections for national debt in the future. It is predicted that by 2025, the national debt will be the lowest in 10 years.

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Year Per capita consumption in pounds Dec 31, 1999 5.9 Dec 31, 2000 5.6 Dec 31, 2001 4.8 Dec 31, 2002 5.3 Dec 31, 2003 6 Dec 31, 2004 6.5 Dec 31, 2005 6.4 Dec 31, 2006 6 Dec 31, 2007 5.6 Dec 31, 2008 5.6 Dec 31, 2009 5.5 Dec 31, 2010 5.5 Dec 31, 2011 5.2 Dec 31, 2012 5.3 Dec 31, 2013 5.2 Dec 31, 2014 5.3

The consumption of cocoa beans pere capitar in the US decreased between the years 2000 and 2002. Between the years 2002 and 2005 there was a sharp increase of 1.5lbs per capitar consumed. This pattern changed after 2005 and saw a gradual decline in consumption year on year until 2015 with a fall of approximately 1lb per capitar consumpion of cocoa beans,.

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Budget balance in relation to GDP Year −0.004 2025* −0.0163 2024* −0.0287 2023* −0.0404 2022* −0.0597 2021* −0.1056 2020* −0.0445 2019 −0.0587 2018 −0.0924 2017 −0.172 2016 −0.1584 2015

The budget balance on the whole will reduce between 2015 and 2025.

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Year Number of residents per square mile Dec 31, 1959 252.6 Dec 31, 1969 263.7 Dec 31, 1979 265.2 Dec 31, 1989 265.6 Dec 31, 1999 274.5 Dec 31, 2009 283.9 Dec 31, 2011 285.3 Dec 31, 2012 285.5 Dec 31, 2013 285.8 Dec 31, 2014 286.1 Dec 31, 2015 285.7 Dec 31, 2016 286.2 Dec 31, 2017 286.2

The population density in Pennsylvania has experienced a steady growth from 1960 to 2020, increasing from 250 million to just below 300 million.

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Year Mortage originations in billion U.S. dollars Dec 31, 1999 1139 Dec 31, 2004 2908 Dec 31, 2009 1698 Dec 31, 2011 2044 Dec 31, 2012 1845 Dec 31, 2013 1261 Dec 31, 2014 1679 Dec 31, 2015 2051 Dec 31, 2016 1710 Dec 31, 2017 1250

Between 2000 and 2010 the mortgage organisation rises high and then falls back down again.

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Year Mortage originations in billion U.S. dollars Dec 31, 1999 1139 Dec 31, 2004 2908 Dec 31, 2009 1698 Dec 31, 2011 2044 Dec 31, 2012 1845 Dec 31, 2013 1261 Dec 31, 2014 1679 Dec 31, 2015 2051 Dec 31, 2016 1710 Dec 31, 2017 1250

The visualisation shows mortgage originations to fluctuate from year to year. The peak in mortgate originations from the range shown in the visualisation was in 2005.

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Period of drought Economic loss in billion U.S. dollars June to December 2012(South-West regions, Mid-West) 20 January to November 2011(Texas, Oklahoma, New Mexico, Arizona, Kansas, Louisiana) 8 July to August 2002(Midwest) 3.3 January to December 2014(San Joaquin Valley in California) 2.2 January to September 2015(California) 1.8 June 2000 to December 2002(South Carolina, Georgia) 1.1 July to December 1999(Kentucky, Maryland, Ohio) 1.1 January to July 1991(California) 1 July 1991(Pennsylvania, Maryland) 0.34 October 2007 to June 2009(California, Georgia, Maryland) 0.3

The economic loss due to droughts in the US was lowest in Oct 2007-June 2009 in California and July 1991 in Maryland, the highest loss was June to December 2012 in the south, at 20 billion dollars. This was the highest loss by a great extent.

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Population in thousands state of Germany 17947 North Rhine-Westphalia 13125 Bavaria 11100 Baden-Württemberg 7994 Lower Saxony 6288 Hesse 4094 Rhineland-Palatinate 4072 Saxony 3669 Berlin 2904 Schleswig-Holstein 2522 Brandenburg 2195 Saxony-Anhalt 2133 Thuringia 1847 Hamburg 1608 Mecklenburg-Western Pomerania 987 Saarland 681 Bremen

The largest populated area of Germany is the North Rhine- West Phalia with Bavaria and Baden Wurtemberg being second and third most heavily populated. Least populated is Bremen.

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Year Number of enterprises 2017 251 2016 244 2015 238 2014 242 2013* 234 2012 241 2011 241 2010 228 2009 217 2008 214

Overall, the number of entreprises increased between 2008 and 2017. The increase in the number of enterprises was not constant, with some years seeing small decreases. More than 200 entreprises were identified every year since 2008, with only 2017 having over 250 entreprises identified.

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Year Number of enterprises 2017 251 2016 244 2015 238 2014 242 2013* 234 2012 241 2011 241 2010 228 2009 217 2008 214

The number of enterprises in sector has steadily increased year on year.

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Year Number of participants Dec 31, 2000 253931 Dec 31, 2001 288104 Dec 31, 2002 301560 Dec 31, 2003 351852 Dec 31, 2004 381568 Dec 31, 2005 426022 Dec 31, 2006 480627 Dec 31, 2007 524230 Dec 31, 2008 568021 Dec 31, 2009 624593 Dec 31, 2010 684730 Dec 31, 2011 722205 Dec 31, 2012 746859 Dec 31, 2013 772772 Dec 31, 2014 802044 Dec 31, 2015 826033 Dec 31, 2016 826983 Dec 31, 2017 829423

The graph shows an increase from 250,000 lacrosse players in 2001, increasing year on year with a slight plateau between 2017 and 2018 showing there were approximately 810,000 lacrosse players in those years.

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Year Youth unemployment rate Dec 31, 2010 0.177 Dec 31, 2011 0.152 Dec 31, 2012 0.155 Dec 31, 2013 0.154 Dec 31, 2014 0.169 Dec 31, 2015 0.157 Dec 31, 2016 0.153 Dec 31, 2017 0.158 Dec 31, 2018 0.161 Dec 31, 2019 0.165

Unemployments rates have on the whole dropped between 2011 and 2020. There was a slight peak in 2015, however not to 2011 levels. Unemployment has been rising since 2017 yet not back to 2011 levels.

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Volume in thousand tonnes Year 110965 2029* 110616 2028* 110262 2027* 109921 2026* 109405 2025* 109167 2024* 108967 2023* 108663 2022* 108872 2021* 109298 2020* 112146 2019* 112630 2018** 112775 2017 111906 2016

The volume of wheat consumed was constant during the period 2016-20. In 2020 the volume consumed dropped by around 10000 tonnes and there will be only a very slight increase during the 20s decade by about 5000 tonnes over the period.

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Year Net profit margin Dec 31, 2001 0.06 Dec 31, 2002 0.11 Dec 31, 2003 0.15 Dec 31, 2004 0.2 Dec 31, 2005 0.27 Dec 31, 2006 0.26 Dec 31, 2007 0.16 Dec 31, 2008 0.15 Dec 31, 2009 0.25 Dec 31, 2010 0.24 Dec 31, 2011 0.13 Dec 31, 2012 0.04 Dec 31, 2013 0.07 Dec 31, 2014 −0.07 Dec 31, 2015 0.06 Dec 31, 2016 0.1 Dec 31, 2017 0.11 Dec 31, 2018 0.09

From 2010-2015 there was a relatively sharp decrease in net profit margin from around 0.25 to -0.1. Roughly every 5 years the top mining companies have an increase in net profit.

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Relationship to child Number of victims Mother 263370 Father 143703 Mother and father 142329 Mother and Nonparent(s) 47343 Relative 31456 Unmarried partner of parent 18787 Other 18546 Father and Nonparent(s) 8556 More than one nonparental perpetrator 7711 Mother, Father, and Nonparent 7229 Friend and neighbor 5547 Child daycare provider 2019 Foster parent 1659 Legal guardian 1623 Other professional 1356 Group home and residential facility staff 926

The chart shows that the majority of cases it is one or both patents that are the abuser(s) with thd higher rate being the mother.

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Year Number of agents Dec 31, 1997 263 Dec 31, 1998 249 Dec 31, 1999 380 Dec 31, 2000 340 Dec 31, 2001 320 Dec 31, 2002 338 Dec 31, 2003 328 Dec 31, 2004 492 Dec 31, 2005 454 Dec 31, 2006 398 Dec 31, 2007 385 Dec 31, 2008 420 Dec 31, 2009 365 Dec 31, 2010 375 Dec 31, 2011 471 Dec 31, 2012 451 Dec 31, 2013 315 Dec 31, 2014 251 Dec 31, 2015 329 Dec 31, 2016 298 Dec 31, 2017 283 Dec 31, 2018 300

x-axis goes up by increments of 5 years. y-axis goes up by increments of 100. The most immigrants deaths were in 2005. The least deaths were in 1999 & 2015.

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Year Export value in thousand GBP Dec 31, 2000 549556 Dec 31, 2001 558718 Dec 31, 2002 644367 Dec 31, 2003 731987 Dec 31, 2004 882588 Dec 31, 2005 1204142 Dec 31, 2006 1491591 Dec 31, 2007 1794928 Dec 31, 2008 1976496 Dec 31, 2009 2915007 Dec 31, 2010 3931827 Dec 31, 2011 4892251 Dec 31, 2012 5414018 Dec 31, 2013 6088762 Dec 31, 2014 8595625 Dec 31, 2015 7850241 Dec 31, 2016 8620668 Dec 31, 2017 7428949

Overall the price has increased exponentially, with a particularly sharp price increase in 2015.

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Year Export value in thousand GBP Dec 31, 2000 549556 Dec 31, 2001 558718 Dec 31, 2002 644367 Dec 31, 2003 731987 Dec 31, 2004 882588 Dec 31, 2005 1204142 Dec 31, 2006 1491591 Dec 31, 2007 1794928 Dec 31, 2008 1976496 Dec 31, 2009 2915007 Dec 31, 2010 3931827 Dec 31, 2011 4892251 Dec 31, 2012 5414018 Dec 31, 2013 6088762 Dec 31, 2014 8595625 Dec 31, 2015 7850241 Dec 31, 2016 8620668 Dec 31, 2017 7428949

I can observe on this line graph that there was a steep incline in the amount in GBP over 5 years but the last few years shown it has been a little up and down.

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Year Number of inhabitants (in millions) Dec 31, 2015 5.21 Dec 31, 2016 5.27 Dec 31, 2017 5.33 Dec 31, 2018 5.38 Dec 31, 2019 5.44 Dec 31, 2020 5.48 Dec 31, 2021 5.53 Dec 31, 2022 5.58 Dec 31, 2023 5.63 Dec 31, 2024 5.68 Dec 31, 2025 5.73 Dec 31, 2026 5.77

An entry figure in 2016 or above 5 million inhabitants in Norway. A steady and consistent rise over 11 years. Approximately an extra 700,000+/- inhabitants over that time.

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Consumption per capita in kilograms Year 5.21 2025* 5.36 2019 5.38 2018 5.49 2017 6.15 2016 5.91 2015 5.91 2014 6.02 2013 6.19 2012 6.83 2011 5.85 2010 5.71 2009 5.92 2008 6.55 2007 6.45 2006

The data shows that the consumption of pork has been fairly stable over the years, however, it is beginning to decline. By 2025 there will be the lowest consumption rate. Whilst there is a decline it is slow.