Difference between revisions of "SOCR Data 2008 World CountriesRankings"

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== [[SOCR_Data |SOCR Data]] - TBD ==
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== [[SOCR_Data |SOCR Data]] - Ranking of the top 100 Countries based on Political, Economic, Health, and Quality-of-Life Factors==
  
 
===Data Description===
 
===Data Description===
 
[[Image:SOCR_PRB_Data_Dinov_011709_Fig1.png|200px|thumbnail|right| [http://www.prb.org/ PRB] ]]
 
[[Image:SOCR_PRB_Data_Dinov_011709_Fig1.png|200px|thumbnail|right| [http://www.prb.org/ PRB] ]]
  
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Overview ...
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These data represent commonly accepted measures for raking Countries on variety of factors which affect the country's internal and external international perception of the country's rank relative the the rest of the World.
  
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* '''Source''': [ ].
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* '''Source''': [http://nw-assets.s3.amazonaws.com/best-countries/worldsbest.xml Amazon Web-Services World's Best Countries].
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* Variables
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* '''Ranking Criteria'''
 +
** '''Income Groups''': All countries are divided into ''income groups'' according to their gross and per capita 2009 gross national income (GNI), see [http://siteresources.worldbank.org/DATASTATISTICS/Resources/GNI.pdf World Bank Atlas].
 +
** Population Groups: The population size of the Country is a categorical label: ''large > 50 million''; ''20 < medium < 50 million'' and ''small < 20 million''.
 +
** '''Education''': Combined universal score on [http://nces.ed.gov/timss/pdf/naep_timss_pisa_comp.pdf TIMSS and PISA tests] using [http://www.nber.org/papers/w12652 Jamison, Jamison and Hanushek's normalization technique]. If schools did not administer these tests, an achievement score was imputed by doing a regression of literacy rate ([https://www.cia.gov/library/publications/the-world-factbook/ CIA World Factbook]) and average years of schooling against the universal score.
 +
** '''Health''': Healthy life expectancy in years (at time of birth). This represents the average number of years that a person in this country is expected to live, accounting for years lived in in disease and/or injury ([http://www.photius.com/rankings/healthy_life_table2.html World Health Organization]).
 +
** '''Quality of Life''': a multivariate measure of the quality of life depending on:
 +
*** Inequality measure: [https://www.cia.gov/library/publications/the-world-factbook/fields/2172.html Gini coefficient] measuring the degree of inequality in family income ([http://www.undp.org/ UNDP]).
 +
*** Gender Gap: the degree of economic, health, education and political inequality between the sexes ([http://www.weforum.org/en/initiatives/gcp/Gender%20Gap/index.htm World Economic Forum, Gender Gap]).
 +
*** Extreme poverty: percent of the population living on less than $\$ $2/day ([http://web.worldbank.org/WBSITE/EXTERNAL/TOPICS/EXTPOVERTY/0,,menuPK:336998~pagePK:149018~piPK:149093~theSitePK:336992,00.html World Bank]).
 +
*** Standard of living: Consumption per capita - private consumption divided by population ([http://www.ihsglobalinsight.com Global Insight]).
 +
*** Homicide rate:  Homicides per 100,000 population ([http://www.unodc.org/ UN Office on Drugs and Crime]).
 +
*** Environmental Health: air/water pollution and environmental burden of disease on humans ([http://epi.yale.edu/ Yale’s Environmental Performance Index]).
 +
*** Unemployment rate: percentage of labor force without jobs ([https://www.cia.gov/library/publications/the-world-factbook/ CIA World Fact Book]).
 +
** '''Economic Dynamism''': measure of the country's economic conditions.
 +
*** Growth in GDP/capita:  purchasing power parity multiplied by the average of the GDP per Capita growth rate over the last ten years and the GDP per Capita growth rate over the next ten years ([https://www.cia.gov/library/publications/the-world-factbook/CIA World Fact Book]). Expressed in incremental US$\$ $ of growth per person.
 +
*** Diversification: Services and Manufacturing as percentage of GDP ([http://www.ihsglobalinsight.com/ProductsServices/ProductDetail1118.htm World Bank, Global Insight]).
 +
*** Innovation: according to the [http://www.insead.edu/facultyresearch/centres/elab/documents/GIIFinal0809.pdf World Economic Forum’s Innovation Index]. Innovation is based on capacity for innovation, quality of scientific research, company spending on R&D, university-industry collaboration in R&D, government procurement of advanced technology products, availability of scientists and engineers, utility patents, intellectual property protection ([http://www.weforum.org/en/initiatives/gcp/Global%20Competitiveness%20Report/index.htm WEF Global Competitiveness Report]).
 +
*** Business vitality: a measure of ease of doing business. It ranks economies on regulatory environment’s conduciveness to business operation. The index ranks the simple average of the country's percentile rankings on 10 topics covered in [http://www.doingbusiness.org/documents/Doingbusiness2007_Fullreport.pdf Doing Business 2007: How to reform]; ranking on each topic is the simple average of the percentile rankings on its component indicators.
 +
*** Bankruptcy: the number of years from the filing for insolvency in court until the resolution of distressed assets (World Bank).
 +
*** Time to start a new business: the number of calendar days needed to complete the procedures to legally operate a business (World Bank).
 +
*** Stock market capitalization: The stock market capitalization as percentage of GDP: equity market capitalization of domestic companies listed on domestic and international exchanges as a percentage of GDP ([http://www.standardandpoors.com/ S&P] and [http://www.mckinsey.com/mgi/ McKinsey Global Institute]).
 +
** '''Political Environment''': a measure of the freedom and stability of the country's political system.
 +
*** [http://www.freedomhouse.org Freedom House Rating]: A measure based on electoral process, political participation, functioning government, freedom of expression and belief, associational and organizational rights, rule of law, and personal autonomy and individual rights.
 +
*** Global Peace Index’s Political Participation rating: A qualitative assessment of voter participation/turn-out for national elections, citizens engagement with politics ([http://www.eiu.com/ EIU Democracy Index]).
 +
*** Political Risk Service's Political Stability rating: An independent rating of political risk faced by governments, corporations and investors ([http://www.prsgroup.com/PRS.aspx Political Risk Services]).
  
 +
===Variable mapping===
 +
Columns in the table below correspond to:
 +
* '''id''': Unique country identifier
 +
* '''incGroup''': Income group:
 +
** Low:  GNI per capita < $\$ $3,946
 +
** Middle: $\$ $3,946 < GNI per capita < $\$ $12,195
 +
** High: GNI per capita > $\$ $12,196
 +
* '''key''': unique 2-letter country code
 +
* '''name''': Country Name
 +
* '''popGroup''': Population Group:
 +
** Small: Population < 20 million
 +
** Medium: 20 million < Population < 50 million
 +
** Large: Population > 50 million
 +
* '''region''': Relative geographic position of the Country
 +
* '''key2''': Country Group Classification Label:
 +
** world: All countries
 +
** g7: G7
 +
** g20: G20
 +
** latin: Latin America & Caribbean
 +
** eu: European Union
 +
** centasia: Europe & Central Asia
 +
** pacasia: East Asia & Pacific
 +
** asean: Asean
 +
** sasia: South Asia
 +
** mideast: Middle East & North Africa
 +
** africa: Sub-Saharan Africa
 +
** bric: Brazil, Russia, India and China (BRIC)
 +
* '''ED''': Economic Dynamism: Index of Productive growth in dollars (GDP/capita at PPP, Avg of GDP/capita growth rate over last ten years, GDP/capita growth rate over next ten years, Economic Dynamism: Manufacturing percent of GDP, Services percent of GDP percent (100=best, 0=worst).
 +
* '''Edu''': Education/Literacy Rate (percent of population able to read and write at a specified age)
 +
* '''HI''': Health Index: The average number of years a person lives in full health, taking into account years lived in less than full health
 +
* '''QOL''': Quality of Life: Population percent living on < $\$ $2/day
 +
* '''PE''': Political Environment: Freedom house rating of political participation (qualitative assessment of voter participation/turn-out for national elections, citizens engagement with politics)
 +
* '''OA''': Overall country ranking taking all measures into account.
 +
* '''Relig''': Religiosity of the Country as a percent (%) of the population (see [http://en.wikipedia.org/wiki/Religion_in_Norway these Wikipedia pages] and [http://www.gallup.com/poll/142727/Religiosity-Highest-World-Poorest-Nations.aspx#2 this Gallup report]).
  
−
===Data ====
+
===Data ===
 +
<center>
 +
{| class="wikitable"
 +
|-
 +
! id || incGroup || key || name || popGroup || region || key2 || ED || Edu || HI || QOL || PE || OA || Relig
 +
|-
 +
| 0 || Low  || al  || Albania  || Small  || Southern_Europe  || popS  || 34.0862 || 81.0164 || 71.0244 || 67.924 || 58.6742 || 57 || 39
 +
|-
 +
| 1 || Middle  || dz  || Algeria  || Medium  || North_Africa  || popM  || 25.8057 || 74.8027 || 66.1951 || 60.9347 || 32.6054 || 85 || 95
 +
|-
 +
| 2 || Middle  || ar  || Argentina  || Medium  || South_America  || popM  || 37.4511 || 69.8825 || 78.2683 || 68.1559 || 68.6647 || 46 || 66
 +
|-
 +
| 3 || High  || au  || Australia  || Medium  || Australia  || popM  || 71.4888 || 91.4802 || 95.1707 || 90.5729 || 90.9629 || 4 || 65
 +
|-
 +
| 4 || High  || at  || Austria  || Small  || Central_Europe  || popS  || 53.9431 || 90.4578 || 90.3415 || 87.563 || 91.2073 || 18 || 20
 +
|-
 +
| 5 || Low  || az  || Azerbaijan  || Small  || central_Asia  || popS  || 53.6457 || 68.988 || 58.9512 || 68.9572 || 40.039 || 69 || 50
 +
|-
 +
| 6 || Low  || bd  || Bangladesh  || Large  || South_Asia  || popL  || 31.058 || 58.6306 || 51.7073 || 48.5346 || 47.0631 || 88 || 99
 +
|-
 +
| 7 || Middle  || by  || Belarus  || Small  || central_Asia  || popS  || 51.915 || 86.6155 || 66.1951 || 74.1467 || 34.0501 || 56 || 34
 +
|-
 +
| 8 || High  || be  || Belgium  || Small  || Northern_Europe  || popS  || 60.4988 || 92.0681 || 90.3415 || 85.3846 || 85.0999 || 19 || 55
 +
|-
 +
| 9 || Low  || bo  || Bolivia  || Small  || South_America  || popS  || 26.9803 || 81.601 || 56.5366 || 57.0621 || 57.1 || 77 || 89
 +
|-
 +
| 10 || Middle  || bw  || Botswana  || Small  || Africa  || popS  || 43.6952 || 73.4608 || 34.8049 || 50.0875 || 72.6833 || 80 || 80
 +
|-
 +
| 11 || Middle  || br  || Brazil  || Large  || South_America  || popL  || 47.8506 || 71.3735 || 71.0244 || 62.4238 || 67.4131 || 48 || 87
 +
|-
 +
| 12 || Middle  || bg  || Bulgaria  || Small  || Southern_Europe  || popS  || 43.7178 || 82.2277 || 75.8537 || 73.1197 || 73.1686 || 38 || 50
 +
|-
 +
| 13 || Low  || bf  || Burkina_Faso  || Small  || Africa  || popS  || 32.7894 || 44.5024 || 20.3171 || 26.329 || 44.0296 || 100 || 90
 +
|-
 +
| 14 || Low  || cm  || Cameroon  || Small  || Africa  || popS  || 26.4328 || 66.0308 || 25.1463 || 42.3787 || 33.1371 || 98 || 96
 +
|-
 +
| 15 || High  || ca  || Canada  || Medium  || North_America  || popM  || 68.46 || 96.7199 || 92.7561 || 88.0163 || 90.474 || 7 || 42
 +
|-
 +
| 16 || Middle  || cl  || Chile  || Small  || South_America  || popS  || 58.0767 || 80.6175 || 85.5122 || 69.4734 || 76.9 || 30 || 70
 +
|-
 +
| 17 || Low  || cn  || China  || Large  || Asia  || popL  || 62.6262 || 78.0662 || 75.8537 || 61.0023 || 32.9684 || 59 || 40
 +
|-
 +
| 18 || Middle  || co  || Colombia  || Medium  || South_America  || popM  || 41.1648 || 75.4289 || 75.8537 || 53.5549 || 56.6111 || 62 || 83
 +
|-
 +
| 19 || Middle  || cr  || Costa_Rica  || Small  || Central_America  || popS  || 38.0793 || 80.38 || 83.0976 || 70.386 || 77.6297 || 35 || 79
 +
|-
 +
| 20 || High  || hr  || Croatia  || Small  || Central_Europe  || popS  || 52.9764 || 90.4578 || 80.6829 || 74.4456 || 75.8574 || 28 || 70
 +
|-
 +
| 21 || Middle  || cu  || Cuba  || Small  || Caribbean  || popS  || 37.7251 || 90.7114 || 83.0976 || 75.7909 || 32.4759 || 50 || 80
 +
|-
 +
| 22 || High  || cz  || Czech_Republic  || Small  || Central_Europe  || popS  || 50.1115 || 90.9946 || 85.5122 || 77.1468 || 81.6777 || 25 || 30
 +
|-
 +
| 23 || High  || dk  || Denmark  || Small  || Northern_Europe  || popS  || 65.0819 || 90.6815 || 90.3415 || 90.6586 || 92.6703 || 10 || 19
 +
|-
 +
| 24 || Middle  || do  || Dominican_Republic  || Small  || Caribbean  || popS  || 39.6553 || 78.5561 || 68.6098 || 63.6781 || 62.7723 || 55 || 87
 +
|-
 +
| 25 || Low  || ec  || Ecuador  || Small  || South_America  || popS  || 23.9169 || 79.6607 || 71.0244 || 62.2891 || 53.4333 || 70 || 82
 +
|-
 +
| 26 || Low  || eg  || Egypt  || Large  || North_Africa  || popL  || 41.8745 || 77.9337 || 61.3659 || 63.6194 || 40.7687 || 74 || 97
 +
|-
 +
| 27 || Low  || sv  || El_Salvador  || Small  || Central_America  || popS  || 33.8093 || 73.4608 || 63.7805 || 56.6223 || 59.8537 || 72 || 83
 +
|-
 +
| 28 || High  || ee  || Estonia  || Small  || Northern_Europe  || popS  || 51.2727 || 93.3205 || 75.8537 || 71.4979 || 73.2333 || 32 || 16
 +
|-
 +
| 29 || Low  || et  || Ethiopia  || Large  || Africa  || popL  || 33.63 || 56.1334 || 37.2195 || 40.8582 || 40.2333 || 94 || 95
 +
|-
 +
| 30 || High  || fi  || Finland  || Small  || Northern_Europe  || popS  || 70.4893 || 102 || 90.3415 || 91.4803 || 92.674 || 1 || 80
 +
|-
 +
| 31 || High  || fr  || France  || Large  || Western_Europe  || popL  || 61.5445 || 91.3524 || 92.7561 || 87.7615 || 82.8999 || 16 || 30
 +
|-
 +
| 32 || High  || de  || Germany  || Large  || Central_Europe  || popL  || 61.8857 || 91.1288 || 92.7561 || 88.7955 || 89.4962 || 12 || 40
 +
|-
 +
| 33 || Low  || gh  || Ghana  || Medium  || Africa  || popM  || 31.9902 || 64.9623 || 37.2195 || 50.01 || 65.702 || 86 || 95
 +
|-
 +
| 34 || High  || gr  || Greece  || Small  || Southern_Europe  || popS  || 47.4299 || 85.0904 || 90.3415 || 82.2692 || 77.461 || 26 || 71
 +
|-
 +
| 35 || Low  || gt  || Guatemala  || Small  || South_America  || popS  || 36.7532 || 69.5715 || 61.3659 || 54.0183 || 49.774 || 84 || 88
 +
|-
 +
| 36 || Low  || hn  || Honduras  || Small  || Central_America  || popS  || 30.0704 || 74.4553 || 66.1951 || 56.594 || 55.0076 || 76 || 84
 +
|-
 +
| 37 || High  || hu  || Hungary  || Small  || Central_Europe  || popS  || 46.2277 || 90.2022 || 75.8537 || 75.5361 || 76.3036 || 33 || 39
 +
|-
 +
| 38 || Low  || in  || India  || Large  || South_Asia  || popL  || 49.9864 || 66.1975 || 51.7073 || 47.4411 || 63.1647 || 78 || 90
 +
|-
 +
| 39 || Low  || id  || Indonesia  || Large  || Southeast_Asia  || popL  || 37.4354 || 74.3554 || 61.3659 || 52.3378 || 60.0944 || 73 || 99
 +
|-
 +
| 40 || Low  || ir  || Iran  || Large  || Middle_East  || popL  || 34.8334 || 80.1702 || 63.7805 || 65.642 || 31.1779 || 79 || 95
 +
|-
 +
| 41 || High  || ie  || Ireland  || Small  || Northern_Europe  || popS  || 55.6233 || 92.8434 || 92.7561 || 86.7869 || 87.5407 || 17 || 54
 +
|-
 +
| 42 || High  || il  || Israel  || Small  || Middle_East  || popS  || 61.9079 || 84.1958 || 92.7561 || 78.6284 || 78.0501 || 22 || 51
 +
|-
 +
| 43 || High  || it  || Italy  || Large  || Southern_Europe  || popL  || 48.4651 || 87.0073 || 95.1707 || 84.0172 || 80.1499 || 23 || 72
 +
|-
 +
| 44 || Middle  || jm  || Jamaica  || Small  || Caribbean  || popS  || 42.0265 || 77.7112 || 71.0244 || 64.117 || 65.4722 || 47 || 78
 +
|-
 +
| 45 || High  || jp  || Japan  || Large  || Pacific_Asia  || popL  || 69.0427 || 94.0361 || 100 || 87.342 || 79.5241 || 9 || 24
 +
|-
 +
| 46 || Low  || jo  || Jordan  || Small  || Middle_East  || popS  || 49.2458 || 81.8699 || 68.6098 || 66.1489 || 48.8964 || 53 || 90
 +
|-
 +
| 47 || Middle  || kz  || Kazakhstan  || Small  || central_Asia  || popS  || 48.6159 || 91.3524 || 51.7073 || 70.3425 || 41.6462 || 61 || 43
 +
|-
 +
| 48 || Low  || ke  || Kenya  || Medium  || Africa  || popM  || 39.8892 || 73.6873 || 32.3902 || 44.2958 || 56.0147 || 87 || 94
 +
|-
 +
| 49 || High  || kr  || Korea_South  || Medium  || Pacific_Asia  || popM  || 73.0227 || 96.7199 || 87.9268 || 77.0213 || 81.7204 || 15 || 43
 +
|-
 +
| 50 || High  || kw  || Kuwait  || Small  || Middle_East  || popS  || 56.7861 || 73.4608 || 83.0976 || 79.239 || 50.3851 || 40 || 91
 +
|-
 +
| 51 || Middle  || lv  || Latvia  || Small  || Northern_Europe  || popS  || 43.8555 || 89.5633 || 71.0244 || 71.6455 || 73.1686 || 36 || 39
 +
|-
 +
| 52 || Middle  || lt  || Lithuania  || Small  || Northern_Europe  || popS  || 49.1361 || 89.0663 || 68.6098 || 72.0818 || 78.1186 || 34 || 42
 +
|-
 +
| 53 || High  || lu  || Luxembourg  || Small  || Western_Europe  || popS  || 69.758 || 88.9669 || 92.7561 || 93.3429 || 92.4296 || 5 || 39
 +
|-
 +
| 54 || Low  || mg  || Madagascar  || Medium  || Africa  || popM  || 35.4386 || 66.7326 || 42.0488 || 32.9223 || 56.748 || 90 || 70
 +
|-
 +
| 55 || Middle  || my  || Malaysia  || Medium  || Southeast_Asia  || popM  || 61.9281 || 86.4322 || 71.0244 || 69.2828 || 59.8036 || 37 || 96
 +
|-
 +
| 56 || Middle  || mx  || Mexico  || Large  || North_America  || popL  || 41.9543 || 74.6536 || 78.2683 || 67.6416 || 64.25 || 45 || 73
 +
|-
 +
| 57 || Low  || ma  || Morocco  || Medium  || North_Africa  || popM  || 46.753 || 71.0753 || 66.1951 || 63.884 || 44.3204 || 67 || 97
 +
|-
 +
| 58 || Low  || mz  || Mozambique  || Medium  || Africa  || popM  || 25.1719 || 58.2931 || 17.9024 || 38.6542 || 63.8369 || 95 || 80
 +
|-
 +
| 59 || High  || nl  || Netherlands  || Small  || Northern_Europe  || popS  || 61.84 || 92.6943 || 92.7561 || 87.0721 || 95.7076 || 8 || 55
 +
|-
 +
| 60 || High  || nz  || New_Zealand  || Small  || Pacific  || popS  || 56.8351 || 91.6506 || 92.7561 || 85.7542 || 94.137 || 13 || 60
 +
|-
 +
| 61 || Low  || ni  || Nicaragua  || Small  || Central_America  || popS  || 33.303 || 69.1837 || 71.0244 || 57.1632 || 54.1703 || 75 || 84
 +
|-
 +
| 62 || Low  || ng  || Nigeria  || Large  || Africa  || popL  || 30.8387 || 65.5409 || 17.9024 || 41.5214 || 35.5168 || 99 || 96
 +
|-
 +
| 63 || High  || no  || Norway  || Small  || Northern_Europe  || popS  || 60.1113 || 87.1351 || 92.7561 || 98.4516 || 98.2889 || 6 || 50
 +
|-
 +
| 64 || High  || om  || Oman  || Small  || Middle_East  || popS  || 43.5084 || 78.8283 || 73.439 || 69.8406 || 40.776 || 60 || 89
 +
|-
 +
| 65 || Low  || pk  || Pakistan  || Large  || South_Asia  || popL  || 41.5338 || 66.8759 || 49.2927 || 49.4786 || 28.1908 || 89 || 92
 +
|-
 +
| 66 || Middle  || pa  || Panama  || Small  || Central_America  || popS  || 44.9346 || 81.9661 || 78.2683 || 63.0255 || 74.5313 || 41 || 88
 +
|-
 +
| 67 || Low  || py  || Paraguay  || Small  || South_America  || popS  || 24.5215 || 80.5408 || 71.0244 || 60.6721 || 54.4111 || 68 || 92
 +
|-
 +
| 68 || Middle  || pe  || Peru  || Medium  || South_America  || popM  || 46.0521 || 85.2614 || 78.2683 || 63.7161 || 62.4313 || 42 || 84
 +
|-
 +
| 69 || Low  || ph  || Philippines  || Large  || Pacific_Asia  || popL  || 40.105 || 81.512 || 66.1951 || 57.8688 || 56.8556 || 63 || 96
 +
|-
 +
| 70 || Middle  || pl  || Poland  || Medium  || Central_Europe  || popM  || 48.3652 || 91.0542 || 78.2683 || 73.8911 || 81.7852 || 29 || 75
 +
|-
 +
| 71 || High  || pt  || Portugal  || Small  || Southern_Europe  || popS  || 48.8681 || 86.2831 || 87.9268 || 78.3798 || 79.9702 || 27 || 60
 +
|-
 +
| 72 || High  || qa  || Qatar  || Small  || Middle_East  || popS  || 52.6964 || 66.1253 || 78.2683 || 76.118 || 40.2871 || 54 || 95
 +
|-
 +
| 73 || Middle  || ro  || Romania  || Medium  || Central_Europe  || popM  || 43.6252 || 81.2139 || 73.439 || 72.7583 || 73.9019 || 39 || 84
 +
|-
 +
| 74 || Middle  || ru  || Russia  || Large  || eurAsia  || popL  || 50.9866 || 88.0297 || 61.3659 || 68.8429 || 47.1536 || 51 || 34
 +
|-
 +
| 75 || High  || sa  || Saudi_Arabia  || Medium  || Middle_East  || popM  || 58.7793 || 76.741 || 66.1951 || 68.4276 || 29.413 || 64 || 93
 +
|-
 +
| 76 || Low  || sn  || Senegal  || Small  || Africa  || popS  || 37.9943 || 63.8001 || 39.6341 || 40.1805 || 49.1446 || 91 || 96
 +
|-
 +
| 77 || High  || sg  || Singapore  || Small  || Southeast_Asia  || popS  || 83.057 || 95.6017 || 92.7561 || 80.0038 || 53.2573 || 20 || 70
 +
|-
 +
| 78 || High  || sk  || Slovakia  || Small  || Central_Europe  || popS  || 44.8191 || 88.4898 || 78.2683 || 76.5187 || 79.8297 || 31 || 60
 +
|-
 +
| 79 || High  || si  || Slovenia  || Small  || Central_Europe  || popS  || 53.8575 || 89.2651 || 87.9268 || 78.4418 || 82.1666 || 24 || 47
 +
|-
 +
| 80 || Middle  || za  || South_Africa  || Medium  || Africa  || popM  || 59.1724 || 58.253 || 32.3902 || 46.4509 || 76.3427 || 82 || 85
 +
|-
 +
| 81 || High  || es  || Spain  || Medium  || Southern_Europe  || popM  || 60.6893 || 87.7741 || 95.1707 || 80.0811 || 80.6999 || 21 || 49
 +
|-
 +
| 82 || Low  || lk  || Sri_Lanka  || Medium  || South_Asia  || popM  || 38.2254 || 75.5137 || 68.6098 || 59.1842 || 52.4702 || 66 || 99
 +
|-
 +
| 83 || High  || se  || Sweden  || Small  || Northern_Europe  || popS  || 71.5193 || 90.756 || 95.1707 || 88.6475 || 98.5333 || 3 || 17
 +
|-
 +
| 84 || High  || ch  || Switzerland  || Small  || Western_Europe  || popS  || 71.3566 || 93.738 || 97.5854 || 94.1543 || 89.7407 || 2 || 41
 +
|-
 +
| 85 || Low  || sy  || Syria  || Medium  || Middle_East  || popM  || 29.7098 || 81.512 || 68.6098 || 66.2809 || 25.6388 || 83 || 89
 +
|-
 +
| 86 || Low  || tz  || Tanzania  || Medium  || Africa  || popM  || 27.6154 || 62.2942 || 25.1463 || 41.457 || 58.7647 || 93 || 89
 +
|-
 +
| 87 || Low  || th  || Thailand  || Large  || Southeast_Asia  || popL  || 49.4783 || 79.2756 || 66.1951 || 67.1553 || 48.7424 || 58 || 97
 +
|-
 +
| 88 || Low  || tn  || Tunisia  || Small  || Middle_East  || popS  || 42.6252 || 72.3107 || 75.8537 || 64.7892 || 38.8962 || 65 || 93
 +
|-
 +
| 89 || Middle  || tr  || Turkey  || Large  || Southern_Europe  || popL  || 39.6282 || 80.3938 || 75.8537 || 66.1416 || 54.2742 || 52 || 82
 +
|-
 +
| 90 || Low  || ug  || Uganda  || Medium  || Africa  || popM  || 29.4982 || 68.1897 || 17.9024 || 45.7503 || 42.0092 || 96 || 93
 +
|-
 +
| 91 || Low  || ua  || Ukraine  || Medium  || eastern_europe  || popM  || 39.787 || 84.6431 || 61.3659 || 71.6471 || 62.4313 || 49 || 46
 +
|-
 +
| 92 || High  || ae  || United_Arab_Emirates  || Small  || Middle_East  || popS  || 55.5752 || 73.9713 || 80.6829 || 84.9109 || 39.313 || 43 || 91
 +
|-
 +
| 93 || High  || gb  || United_Kingdom  || Large  || Northern_Europe  || popL  || 72.9428 || 92.8434 || 90.3415 || 84.7077 || 75.9222 || 14 || 27
 +
|-
 +
| 94 || High  || us  || United_States  || Large  || North_America  || popL  || 77.8452 || 89.4355 || 85.5122 || 88.5849 || 86.1816 || 11 || 65
 +
|-
 +
| 95 || Middle  || uy  || Uruguay  || Small  || South_America  || popS  || 33.6074 || 78.8283 || 78.2683 || 70.8971 || 72.7444 || 44 || 41
 +
|-
 +
| 96 || Middle  || ve  || Venezuela  || Medium  || South_America  || popM  || 21.6643 || 81.2869 || 75.8537 || 64.3049 || 46.848 || 71 || 79
 +
|-
 +
| 97 || Low  || vn  || Vietnam  || Large  || Southeast_Asia  || popL  || 35.0139 || 77.1392 || 71.0244 || 58.6788 || 32.5443 || 81 || 30
 +
|-
 +
| 98 || Low  || ye  || Yemen  || Medium  || Middle_East  || popM  || 37.6418 || 53.7801 || 46.878 || 43.9007 || 38.6334 || 92 || 99
 +
|-
 +
| 99 || Low  || zm  || Zambia  || Small  || Africa  || popS  || 37.5148 || 67.8404 || 13.0732 || 31.2595 || 52.8112 || 97 || 95
 +
|}
 +
</center>
  
 +
The table below is the transposed column-version of the row-version data table above.
 
<center>
 
<center>
 
{| class="wikitable"
 
{| class="wikitable"
 
|-  
 
|-  
−
 
+
! id || 0 || 1 || 2 || 3 || 4 || 5 || 6 || 7 || 8 || 9 || 10 || 11 || 12 || 13 || 14 || 15 || 16 || 17 || 18 || 19 || 20 || 21 || 22 || 23 || 24 || 25 || 26 || 27 || 28 || 29 || 30 || 31 || 32 || 33 || 34 || 35 || 36 || 37 || 38 || 39 || 40 || 41 || 42 || 43 || 44 || 45 || 46 || 47 || 48 || 49 || 50 || 51 || 52 || 53 || 54 || 55 || 56 || 57 || 58 || 59 || 60 || 61 || 62 || 63 || 64 || 65 || 66 || 67 || 68 || 69 || 70 || 71 || 72 || 73 || 74 || 75 || 76 || 77 || 78 || 79 || 80 || 81 || 82 || 83 || 84 || 85 || 86 || 87 || 88 || 89 || 90 || 91 || 92 || 93 || 94 || 95 || 96 || 97 || 98 || 99
 +
|-
 +
| incGroup || Low || Middle || Middle || High || High || Low || Low || Middle || High || Low || Middle || Middle || Middle || Low || Low || High || Middle || Low || Middle || Middle || High || Middle || High || High || Middle || Low || Low || Low || High || Low || High || High || High || Low || High || Low || Low || High || Low || Low || Low || High || High || High || Middle || High || Low || Middle || Low || High || High || Middle || Middle || High || Low || Middle || Middle || Low || Low || High || High || Low || Low || High || High || Low || Middle || Low || Middle || Low || Middle || High || High || Middle || Middle || High || Low || High || High || High || Middle || High || Low || High || High || Low || Low || Low || Low || Middle || Low || Low || High || High || High || Middle || Middle || Low || Low || Low
 +
|-
 +
| key || al || dz || ar || au || at || az || bd || by || be || bo || bw || br || bg || bf || cm || ca || cl || cn || co || cr || hr || cu || cz || dk || do || ec || eg || sv || ee || et || fi || fr || de || gh || gr || gt || hn || hu || in || id || ir || ie || il || it || jm || jp || jo || kz || ke || kr || kw || lv || lt || lu || mg || my || mx || ma || mz || nl || nz || ni || ng || no || om || pk || pa || py || pe || ph || pl || pt || qa || ro || ru || sa || sn || sg || sk || si || za || es || lk || se || ch || sy || tz || th || tn || tr || ug || ua || ae || gb || us || uy || ve || vn || ye || zm
 +
|-
 +
| name || Albania || Algeria || Argentina || Australia || Austria || Azerbaijan || Bangladesh || Belarus || Belgium || Bolivia || Botswana || Brazil || Bulgaria || Burkina_Faso || Cameroon || Canada || Chile || China || Colombia || Costa_Rica || Croatia || Cuba || Czech_Republic || Denmark || Dominican_Republic || Ecuador || Egypt || El_Salvador || Estonia || Ethiopia || Finland || France || Germany || Ghana || Greece || Guatemala || Honduras || Hungary || India || Indonesia || Iran || Ireland || Israel || Italy || Jamaica || Japan || Jordan || Kazakhstan || Kenya || Korea_South || Kuwait || Latvia || Lithuania || Luxembourg || Madagascar || Malaysia || Mexico || Morocco || Mozambique || Netherlands || New_Zealand || Nicaragua || Nigeria || Norway || Oman || Pakistan || Panama || Paraguay || Peru || Philippines || Poland || Portugal || Qatar || Romania || Russia || Saudi_Arabia || Senegal || Singapore || Slovakia || Slovenia || South_Africa || Spain || Sri_Lanka || Sweden || Switzerland || Syria || Tanzania || Thailand || Tunisia || Turkey || Uganda || Ukraine || United_Arab_Emirates || United_Kingdom || United_States || Uruguay || Venezuela || Vietnam || Yemen || Zambia
 +
|-
 +
| popGroup || Small || Medium || Medium || Medium || Small || Small || Large || Small || Small || Small || Small || Large || Small || Small || Small || Medium || Small || Large || Medium || Small || Small || Small || Small || Small || Small || Small || Large || Small || Small || Large || Small || Large || Large || Medium || Small || Small || Small || Small || Large || Large || Large || Small || Small || Large || Small || Large || Small || Small || Medium || Medium || Small || Small || Small || Small || Medium || Medium || Large || Medium || Medium || Small || Small || Small || Large || Small || Small || Large || Small || Small || Medium || Large || Medium || Small || Small || Medium || Large || Medium || Small || Small || Small || Small || Medium || Medium || Medium || Small || Small || Medium || Medium || Large || Small || Large || Medium || Medium || Small || Large || Large || Small || Medium || Large || Medium || Small
 +
|-
 +
| region || Southern_Europe || North_Africa || South_America || Australia || Central_Europe || central_Asia || South_Asia || central_Asia || Northern_Europe || South_America || Africa || South_America || Southern_Europe || Africa || Africa || North_America || South_America || Asia || South_America || Central_America || Central_Europe || Caribbean || Central_Europe || Northern_Europe || Caribbean || South_America || North_Africa || Central_America || Northern_Europe || Africa || Northern_Europe || Western_Europe || Central_Europe || Africa || Southern_Europe || South_America || Central_America || Central_Europe || South_Asia || Southeast_Asia || Middle_East || Northern_Europe || Middle_East || Southern_Europe || Caribbean || Pacific_Asia || Middle_East || central_Asia || Africa || Pacific_Asia || Middle_East || Northern_Europe || Northern_Europe || Western_Europe || Africa || Southeast_Asia || North_America || North_Africa || Africa || Northern_Europe || Pacific || Central_America || Africa || Northern_Europe || Middle_East || South_Asia || Central_America || South_America || South_America || Pacific_Asia || Central_Europe || Southern_Europe || Middle_East || Central_Europe || eurAsia || Middle_East || Africa || Southeast_Asia || Central_Europe || Central_Europe || Africa || Southern_Europe || South_Asia || Northern_Europe || Western_Europe || Middle_East || Africa || Southeast_Asia || Middle_East || Southern_Europe || Africa || eastern_europe || Middle_East || Northern_Europe || North_America || South_America || South_America || Southeast_Asia || Middle_East || Africa
 +
|-
 +
| key2 || popS || popM || popM || popM || popS || popS || popL || popS || popS || popS || popS || popL || popS || popS || popS || popM || popS || popL || popM || popS || popS || popS || popS || popS || popS || popS || popL || popS || popS || popL || popS || popL || popL || popM || popS || popS || popS || popS || popL || popL || popL || popS || popS || popL || popS || popL || popS || popS || popM || popM || popS || popS || popS || popS || popM || popM || popL || popM || popM || popS || popS || popS || popL || popS || popS || popL || popS || popS || popM || popL || popM || popS || popS || popM || popL || popM || popS || popS || popS || popS || popM || popM || popM || popS || popS || popM || popM || popL || popS || popL || popM || popM || popS || popL || popL || popS || popM || popL || popM || popS
 +
|-
 +
| ED || 34.0862 || 25.8057 || 37.4511 || 71.4888 || 53.9431 || 53.6457 || 31.058 || 51.915 || 60.4988 || 26.9803 || 43.6952 || 47.8506 || 43.7178 || 32.7894 || 26.4328 || 68.46 || 58.0767 || 62.6262 || 41.1648 || 38.0793 || 52.9764 || 37.7251 || 50.1115 || 65.0819 || 39.6553 || 23.9169 || 41.8745 || 33.8093 || 51.2727 || 33.63 || 70.4893 || 61.5445 || 61.8857 || 31.9902 || 47.4299 || 36.7532 || 30.0704 || 46.2277 || 49.9864 || 37.4354 || 34.8334 || 55.6233 || 61.9079 || 48.4651 || 42.0265 || 69.0427 || 49.2458 || 48.6159 || 39.8892 || 73.0227 || 56.7861 || 43.8555 || 49.1361 || 69.758 || 35.4386 || 61.9281 || 41.9543 || 46.753 || 25.1719 || 61.84 || 56.8351 || 33.303 || 30.8387 || 60.1113 || 43.5084 || 41.5338 || 44.9346 || 24.5215 || 46.0521 || 40.105 || 48.3652 || 48.8681 || 52.6964 || 43.6252 || 50.9866 || 58.7793 || 37.9943 || 83.057 || 44.8191 || 53.8575 || 59.1724 || 60.6893 || 38.2254 || 71.5193 || 71.3566 || 29.7098 || 27.6154 || 49.4783 || 42.6252 || 39.6282 || 29.4982 || 39.787 || 55.5752 || 72.9428 || 77.8452 || 33.6074 || 21.6643 || 35.0139 || 37.6418 || 37.5148
 +
|-
 +
| Edu || 81.0164 || 74.8027 || 69.8825 || 91.4802 || 90.4578 || 68.988 || 58.6306 || 86.6155 || 92.0681 || 81.601 || 73.4608 || 71.3735 || 82.2277 || 44.5024 || 66.0308 || 96.7199 || 80.6175 || 78.0662 || 75.4289 || 80.38 || 90.4578 || 90.7114 || 90.9946 || 90.6815 || 78.5561 || 79.6607 || 77.9337 || 73.4608 || 93.3205 || 56.1334 || 102 || 91.3524 || 91.1288 || 64.9623 || 85.0904 || 69.5715 || 74.4553 || 90.2022 || 66.1975 || 74.3554 || 80.1702 || 92.8434 || 84.1958 || 87.0073 || 77.7112 || 94.0361 || 81.8699 || 91.3524 || 73.6873 || 96.7199 || 73.4608 || 89.5633 || 89.0663 || 88.9669 || 66.7326 || 86.4322 || 74.6536 || 71.0753 || 58.2931 || 92.6943 || 91.6506 || 69.1837 || 65.5409 || 87.1351 || 78.8283 || 66.8759 || 81.9661 || 80.5408 || 85.2614 || 81.512 || 91.0542 || 86.2831 || 66.1253 || 81.2139 || 88.0297 || 76.741 || 63.8001 || 95.6017 || 88.4898 || 89.2651 || 58.253 || 87.7741 || 75.5137 || 90.756 || 93.738 || 81.512 || 62.2942 || 79.2756 || 72.3107 || 80.3938 || 68.1897 || 84.6431 || 73.9713 || 92.8434 || 89.4355 || 78.8283 || 81.2869 || 77.1392 || 53.7801 || 67.8404
 +
|-
 +
| HI || 71.0244 || 66.1951 || 78.2683 || 95.1707 || 90.3415 || 58.9512 || 51.7073 || 66.1951 || 90.3415 || 56.5366 || 34.8049 || 71.0244 || 75.8537 || 20.3171 || 25.1463 || 92.7561 || 85.5122 || 75.8537 || 75.8537 || 83.0976 || 80.6829 || 83.0976 || 85.5122 || 90.3415 || 68.6098 || 71.0244 || 61.3659 || 63.7805 || 75.8537 || 37.2195 || 90.3415 || 92.7561 || 92.7561 || 37.2195 || 90.3415 || 61.3659 || 66.1951 || 75.8537 || 51.7073 || 61.3659 || 63.7805 || 92.7561 || 92.7561 || 95.1707 || 71.0244 || 100 || 68.6098 || 51.7073 || 32.3902 || 87.9268 || 83.0976 || 71.0244 || 68.6098 || 92.7561 || 42.0488 || 71.0244 || 78.2683 || 66.1951 || 17.9024 || 92.7561 || 92.7561 || 71.0244 || 17.9024 || 92.7561 || 73.439 || 49.2927 || 78.2683 || 71.0244 || 78.2683 || 66.1951 || 78.2683 || 87.9268 || 78.2683 || 73.439 || 61.3659 || 66.1951 || 39.6341 || 92.7561 || 78.2683 || 87.9268 || 32.3902 || 95.1707 || 68.6098 || 95.1707 || 97.5854 || 68.6098 || 25.1463 || 66.1951 || 75.8537 || 75.8537 || 17.9024 || 61.3659 || 80.6829 || 90.3415 || 85.5122 || 78.2683 || 75.8537 || 71.0244 || 46.878 || 13.0732
 +
|-
 +
| QOL || 67.924 || 60.9347 || 68.1559 || 90.5729 || 87.563 || 68.9572 || 48.5346 || 74.1467 || 85.3846 || 57.0621 || 50.0875 || 62.4238 || 73.1197 || 26.329 || 42.3787 || 88.0163 || 69.4734 || 61.0023 || 53.5549 || 70.386 || 74.4456 || 75.7909 || 77.1468 || 90.6586 || 63.6781 || 62.2891 || 63.6194 || 56.6223 || 71.4979 || 40.8582 || 91.4803 || 87.7615 || 88.7955 || 50.01 || 82.2692 || 54.0183 || 56.594 || 75.5361 || 47.4411 || 52.3378 || 65.642 || 86.7869 || 78.6284 || 84.0172 || 64.117 || 87.342 || 66.1489 || 70.3425 || 44.2958 || 77.0213 || 79.239 || 71.6455 || 72.0818 || 93.3429 || 32.9223 || 69.2828 || 67.6416 || 63.884 || 38.6542 || 87.0721 || 85.7542 || 57.1632 || 41.5214 || 98.4516 || 69.8406 || 49.4786 || 63.0255 || 60.6721 || 63.7161 || 57.8688 || 73.8911 || 78.3798 || 76.118 || 72.7583 || 68.8429 || 68.4276 || 40.1805 || 80.0038 || 76.5187 || 78.4418 || 46.4509 || 80.0811 || 59.1842 || 88.6475 || 94.1543 || 66.2809 || 41.457 || 67.1553 || 64.7892 || 66.1416 || 45.7503 || 71.6471 || 84.9109 || 84.7077 || 88.5849 || 70.8971 || 64.3049 || 58.6788 || 43.9007 || 31.2595
 +
|-
 +
| PE || 58.6742 || 32.6054 || 68.6647 || 90.9629 || 91.2073 || 40.039 || 47.0631 || 34.0501 || 85.0999 || 57.1 || 72.6833 || 67.4131 || 73.1686 || 44.0296 || 33.1371 || 90.474 || 76.9 || 32.9684 || 56.6111 || 77.6297 || 75.8574 || 32.4759 || 81.6777 || 92.6703 || 62.7723 || 53.4333 || 40.7687 || 59.8537 || 73.2333 || 40.2333 || 92.674 || 82.8999 || 89.4962 || 65.702 || 77.461 || 49.774 || 55.0076 || 76.3036 || 63.1647 || 60.0944 || 31.1779 || 87.5407 || 78.0501 || 80.1499 || 65.4722 || 79.5241 || 48.8964 || 41.6462 || 56.0147 || 81.7204 || 50.3851 || 73.1686 || 78.1186 || 92.4296 || 56.748 || 59.8036 || 64.25 || 44.3204 || 63.8369 || 95.7076 || 94.137 || 54.1703 || 35.5168 || 98.2889 || 40.776 || 28.1908 || 74.5313 || 54.4111 || 62.4313 || 56.8556 || 81.7852 || 79.9702 || 40.2871 || 73.9019 || 47.1536 || 29.413 || 49.1446 || 53.2573 || 79.8297 || 82.1666 || 76.3427 || 80.6999 || 52.4702 || 98.5333 || 89.7407 || 25.6388 || 58.7647 || 48.7424 || 38.8962 || 54.2742 || 42.0092 || 62.4313 || 39.313 || 75.9222 || 86.1816 || 72.7444 || 46.848 || 32.5443 || 38.6334 || 52.8112
 +
|-
 +
| OA || 57 || 85 || 46 || 4 || 18 || 69 || 88 || 56 || 19 || 77 || 80 || 48 || 38 || 100 || 98 || 7 || 30 || 59 || 62 || 35 || 28 || 50 || 25 || 10 || 55 || 70 || 74 || 72 || 32 || 94 || 1 || 16 || 12 || 86 || 26 || 84 || 76 || 33 || 78 || 73 || 79 || 17 || 22 || 23 || 47 || 9 || 53 || 61 || 87 || 15 || 40 || 36 || 34 || 5 || 90 || 37 || 45 || 67 || 95 || 8 || 13 || 75 || 99 || 6 || 60 || 89 || 41 || 68 || 42 || 63 || 29 || 27 || 54 || 39 || 51 || 64 || 91 || 20 || 31 || 24 || 82 || 21 || 66 || 3 || 2 || 83 || 93 || 58 || 65 || 52 || 96 || 49 || 43 || 14 || 11 || 44 || 71 || 81 || 92 || 97
 +
|-
 +
| Relig || 39 || 95 || 66 || 65 || 20 || 50 || 99 || 34 || 55 || 89 || 80 || 87 || 50 || 90 || 96 || 42 || 70 || 40 || 83 || 79 || 70 || 80 || 30 || 19 || 87 || 82 || 97 || 83 || 16 || 95 || 80 || 30 || 40 || 95 || 71 || 88 || 84 || 39 || 90 || 99 || 95 || 54 || 51 || 72 || 78 || 24 || 90 || 43 || 94 || 43 || 91 || 39 || 42 || 39 || 70 || 96 || 73 || 97 || 80 || 55 || 60 || 84 || 96 || 50 || 89 || 92 || 88 || 92 || 84 || 96 || 75 || 60 || 95 || 84 || 34 || 93 || 96 || 70 || 60 || 47 || 85 || 49 || 99 || 17 || 41 || 89 || 89 || 97 || 93 || 82 || 93 || 46 || 91 || 27 || 65 || 41 || 79 || 30 || 99 || 95
 
|}  
 
|}  
 
</center>
 
</center>
 +
 +
===Data Visualization Examples===
 +
Several [[SOCR_EduMaterials | SOCR Chart types]] may be used to display these data interactively.
 +
* Area Charts [[SOCR_EduMaterials_Activities_AreaCharts | Activities]] and [http://socr.ucla.edu/htmls/SOCR_Charts.html applets]
 +
<center>[[Image:SOCR_World_CountriesRankings_082310_Fig1.png|600px]]</center>
 +
 +
* Spider Charts [[SOCR_EduMaterials_Activities_SpiderWebChart | Activities]] and [http://socr.ucla.edu/htmls/SOCR_Charts.html applets]
 +
<center>[[Image:SOCR_World_CountriesRankings_082310_Fig2.png|400px]] [[Image:SOCR_World_CountriesRankings_082310_Fig3.png|400px]]</center>
 +
 +
* Motion Charts [[SOCR_MotionCharts | Activities]] and [http://socr.ucla.edu/SOCR_MotionCharts/ applets]
 +
<center>[[Image:SOCR_World_CountriesRankings_082310_Fig4.png|600px]]</center>
 +
 +
We can also utilize the SOCR [http://www.socr.ucla.edu/htmls/ana/SimpleRegression_Analysis.html simple linear regression] or [http://www.socr.ucla.edu/htmls/ana/MultipleRegression_Analysis.html multivariate linear regression] applets to study the relations between pairs or several variables (e.g., explore the relation between religiosity and overall ranking for the countries).
  
 
===References===
 
===References===
−
* [http://www.newsweek.com/2010/08/15/interactive-infographic-of-the-worlds-best-countries.html Newsweek's Country Ranking].
+
* Newsweek's [http://www.newsweek.com/2010/08/15/world-s-best-countries-categories-metrics-and-methodology.html Methodology], [http://www.newsweek.com/2010/08/15/interactive-infographic-of-the-worlds-best-countries.html Country Ranking] and [http://www.newsweek.com/2010/08/16/best-countries-in-the-world.html Supporting Article].
 
* [http://nw-assets.s3.amazonaws.com/best-countries/worldsbest.xml XML Data] and [http://nw-assets.s3.amazonaws.com/best-countries/config.xml XML Metadata].
 
* [http://nw-assets.s3.amazonaws.com/best-countries/worldsbest.xml XML Data] and [http://nw-assets.s3.amazonaws.com/best-countries/config.xml XML Metadata].
  
 
<hr>
 
<hr>
−
* SOCR Home page: http://www.socr.ucla.edu
+
* SOCR Home page: http://www.socr.umich.edu
  
−
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_Data_2008_World_CountriesRankings}}
+
{{translate|pageName=http://wiki.socr.umich.edu/index.php?title=SOCR_Data_2008_World_CountriesRankings}}

Latest revision as of 01:35, 16 August 2014

SOCR Data - Ranking of the top 100 Countries based on Political, Economic, Health, and Quality-of-Life Factors

Data Description

PRB

These data represent commonly accepted measures for raking Countries on variety of factors which affect the country's internal and external international perception of the country's rank relative the the rest of the World.

  • Source: Amazon Web-Services World's Best Countries.
  • Ranking Criteria
    • Income Groups: All countries are divided into income groups according to their gross and per capita 2009 gross national income (GNI), see World Bank Atlas.
    • Population Groups: The population size of the Country is a categorical label: large > 50 million; 20 < medium < 50 million and small < 20 million.
    • Education: Combined universal score on TIMSS and PISA tests using Jamison, Jamison and Hanushek's normalization technique. If schools did not administer these tests, an achievement score was imputed by doing a regression of literacy rate (CIA World Factbook) and average years of schooling against the universal score.
    • Health: Healthy life expectancy in years (at time of birth). This represents the average number of years that a person in this country is expected to live, accounting for years lived in in disease and/or injury (World Health Organization).
    • Quality of Life: a multivariate measure of the quality of life depending on:
    • Economic Dynamism: measure of the country's economic conditions.
      • Growth in GDP/capita: purchasing power parity multiplied by the average of the GDP per Capita growth rate over the last ten years and the GDP per Capita growth rate over the next ten years (World Fact Book). Expressed in incremental US$\$ $ of growth per person.
      • Diversification: Services and Manufacturing as percentage of GDP (World Bank, Global Insight).
      • Innovation: according to the World Economic Forum’s Innovation Index. Innovation is based on capacity for innovation, quality of scientific research, company spending on R&D, university-industry collaboration in R&D, government procurement of advanced technology products, availability of scientists and engineers, utility patents, intellectual property protection (WEF Global Competitiveness Report).
      • Business vitality: a measure of ease of doing business. It ranks economies on regulatory environment’s conduciveness to business operation. The index ranks the simple average of the country's percentile rankings on 10 topics covered in Doing Business 2007: How to reform; ranking on each topic is the simple average of the percentile rankings on its component indicators.
      • Bankruptcy: the number of years from the filing for insolvency in court until the resolution of distressed assets (World Bank).
      • Time to start a new business: the number of calendar days needed to complete the procedures to legally operate a business (World Bank).
      • Stock market capitalization: The stock market capitalization as percentage of GDP: equity market capitalization of domestic companies listed on domestic and international exchanges as a percentage of GDP (S&P and McKinsey Global Institute).
    • Political Environment: a measure of the freedom and stability of the country's political system.
      • Freedom House Rating: A measure based on electoral process, political participation, functioning government, freedom of expression and belief, associational and organizational rights, rule of law, and personal autonomy and individual rights.
      • Global Peace Index’s Political Participation rating: A qualitative assessment of voter participation/turn-out for national elections, citizens engagement with politics (EIU Democracy Index).
      • Political Risk Service's Political Stability rating: An independent rating of political risk faced by governments, corporations and investors (Political Risk Services).

Variable mapping

Columns in the table below correspond to:

  • id: Unique country identifier
  • incGroup: Income group:
    • Low: GNI per capita < $\$ $3,946
    • Middle: $\$ $3,946 < GNI per capita < $\$ $12,195
    • High: GNI per capita > $\$ $12,196
  • key: unique 2-letter country code
  • name: Country Name
  • popGroup: Population Group:
    • Small: Population < 20 million
    • Medium: 20 million < Population < 50 million
    • Large: Population > 50 million
  • region: Relative geographic position of the Country
  • key2: Country Group Classification Label:
    • world: All countries
    • g7: G7
    • g20: G20
    • latin: Latin America & Caribbean
    • eu: European Union
    • centasia: Europe & Central Asia
    • pacasia: East Asia & Pacific
    • asean: Asean
    • sasia: South Asia
    • mideast: Middle East & North Africa
    • africa: Sub-Saharan Africa
    • bric: Brazil, Russia, India and China (BRIC)
  • ED: Economic Dynamism: Index of Productive growth in dollars (GDP/capita at PPP, Avg of GDP/capita growth rate over last ten years, GDP/capita growth rate over next ten years, Economic Dynamism: Manufacturing percent of GDP, Services percent of GDP percent (100=best, 0=worst).
  • Edu: Education/Literacy Rate (percent of population able to read and write at a specified age)
  • HI: Health Index: The average number of years a person lives in full health, taking into account years lived in less than full health
  • QOL: Quality of Life: Population percent living on < $\$ $2/day
  • PE: Political Environment: Freedom house rating of political participation (qualitative assessment of voter participation/turn-out for national elections, citizens engagement with politics)
  • OA: Overall country ranking taking all measures into account.
  • Relig: Religiosity of the Country as a percent (%) of the population (see these Wikipedia pages and this Gallup report).

Data

id incGroup key name popGroup region key2 ED Edu HI QOL PE OA Relig
0 Low al Albania Small Southern_Europe popS 34.0862 81.0164 71.0244 67.924 58.6742 57 39
1 Middle dz Algeria Medium North_Africa popM 25.8057 74.8027 66.1951 60.9347 32.6054 85 95
2 Middle ar Argentina Medium South_America popM 37.4511 69.8825 78.2683 68.1559 68.6647 46 66
3 High au Australia Medium Australia popM 71.4888 91.4802 95.1707 90.5729 90.9629 4 65
4 High at Austria Small Central_Europe popS 53.9431 90.4578 90.3415 87.563 91.2073 18 20
5 Low az Azerbaijan Small central_Asia popS 53.6457 68.988 58.9512 68.9572 40.039 69 50
6 Low bd Bangladesh Large South_Asia popL 31.058 58.6306 51.7073 48.5346 47.0631 88 99
7 Middle by Belarus Small central_Asia popS 51.915 86.6155 66.1951 74.1467 34.0501 56 34
8 High be Belgium Small Northern_Europe popS 60.4988 92.0681 90.3415 85.3846 85.0999 19 55
9 Low bo Bolivia Small South_America popS 26.9803 81.601 56.5366 57.0621 57.1 77 89
10 Middle bw Botswana Small Africa popS 43.6952 73.4608 34.8049 50.0875 72.6833 80 80
11 Middle br Brazil Large South_America popL 47.8506 71.3735 71.0244 62.4238 67.4131 48 87
12 Middle bg Bulgaria Small Southern_Europe popS 43.7178 82.2277 75.8537 73.1197 73.1686 38 50
13 Low bf Burkina_Faso Small Africa popS 32.7894 44.5024 20.3171 26.329 44.0296 100 90
14 Low cm Cameroon Small Africa popS 26.4328 66.0308 25.1463 42.3787 33.1371 98 96
15 High ca Canada Medium North_America popM 68.46 96.7199 92.7561 88.0163 90.474 7 42
16 Middle cl Chile Small South_America popS 58.0767 80.6175 85.5122 69.4734 76.9 30 70
17 Low cn China Large Asia popL 62.6262 78.0662 75.8537 61.0023 32.9684 59 40
18 Middle co Colombia Medium South_America popM 41.1648 75.4289 75.8537 53.5549 56.6111 62 83
19 Middle cr Costa_Rica Small Central_America popS 38.0793 80.38 83.0976 70.386 77.6297 35 79
20 High hr Croatia Small Central_Europe popS 52.9764 90.4578 80.6829 74.4456 75.8574 28 70
21 Middle cu Cuba Small Caribbean popS 37.7251 90.7114 83.0976 75.7909 32.4759 50 80
22 High cz Czech_Republic Small Central_Europe popS 50.1115 90.9946 85.5122 77.1468 81.6777 25 30
23 High dk Denmark Small Northern_Europe popS 65.0819 90.6815 90.3415 90.6586 92.6703 10 19
24 Middle do Dominican_Republic Small Caribbean popS 39.6553 78.5561 68.6098 63.6781 62.7723 55 87
25 Low ec Ecuador Small South_America popS 23.9169 79.6607 71.0244 62.2891 53.4333 70 82
26 Low eg Egypt Large North_Africa popL 41.8745 77.9337 61.3659 63.6194 40.7687 74 97
27 Low sv El_Salvador Small Central_America popS 33.8093 73.4608 63.7805 56.6223 59.8537 72 83
28 High ee Estonia Small Northern_Europe popS 51.2727 93.3205 75.8537 71.4979 73.2333 32 16
29 Low et Ethiopia Large Africa popL 33.63 56.1334 37.2195 40.8582 40.2333 94 95
30 High fi Finland Small Northern_Europe popS 70.4893 102 90.3415 91.4803 92.674 1 80
31 High fr France Large Western_Europe popL 61.5445 91.3524 92.7561 87.7615 82.8999 16 30
32 High de Germany Large Central_Europe popL 61.8857 91.1288 92.7561 88.7955 89.4962 12 40
33 Low gh Ghana Medium Africa popM 31.9902 64.9623 37.2195 50.01 65.702 86 95
34 High gr Greece Small Southern_Europe popS 47.4299 85.0904 90.3415 82.2692 77.461 26 71
35 Low gt Guatemala Small South_America popS 36.7532 69.5715 61.3659 54.0183 49.774 84 88
36 Low hn Honduras Small Central_America popS 30.0704 74.4553 66.1951 56.594 55.0076 76 84
37 High hu Hungary Small Central_Europe popS 46.2277 90.2022 75.8537 75.5361 76.3036 33 39
38 Low in India Large South_Asia popL 49.9864 66.1975 51.7073 47.4411 63.1647 78 90
39 Low id Indonesia Large Southeast_Asia popL 37.4354 74.3554 61.3659 52.3378 60.0944 73 99
40 Low ir Iran Large Middle_East popL 34.8334 80.1702 63.7805 65.642 31.1779 79 95
41 High ie Ireland Small Northern_Europe popS 55.6233 92.8434 92.7561 86.7869 87.5407 17 54
42 High il Israel Small Middle_East popS 61.9079 84.1958 92.7561 78.6284 78.0501 22 51
43 High it Italy Large Southern_Europe popL 48.4651 87.0073 95.1707 84.0172 80.1499 23 72
44 Middle jm Jamaica Small Caribbean popS 42.0265 77.7112 71.0244 64.117 65.4722 47 78
45 High jp Japan Large Pacific_Asia popL 69.0427 94.0361 100 87.342 79.5241 9 24
46 Low jo Jordan Small Middle_East popS 49.2458 81.8699 68.6098 66.1489 48.8964 53 90
47 Middle kz Kazakhstan Small central_Asia popS 48.6159 91.3524 51.7073 70.3425 41.6462 61 43
48 Low ke Kenya Medium Africa popM 39.8892 73.6873 32.3902 44.2958 56.0147 87 94
49 High kr Korea_South Medium Pacific_Asia popM 73.0227 96.7199 87.9268 77.0213 81.7204 15 43
50 High kw Kuwait Small Middle_East popS 56.7861 73.4608 83.0976 79.239 50.3851 40 91
51 Middle lv Latvia Small Northern_Europe popS 43.8555 89.5633 71.0244 71.6455 73.1686 36 39
52 Middle lt Lithuania Small Northern_Europe popS 49.1361 89.0663 68.6098 72.0818 78.1186 34 42
53 High lu Luxembourg Small Western_Europe popS 69.758 88.9669 92.7561 93.3429 92.4296 5 39
54 Low mg Madagascar Medium Africa popM 35.4386 66.7326 42.0488 32.9223 56.748 90 70
55 Middle my Malaysia Medium Southeast_Asia popM 61.9281 86.4322 71.0244 69.2828 59.8036 37 96
56 Middle mx Mexico Large North_America popL 41.9543 74.6536 78.2683 67.6416 64.25 45 73
57 Low ma Morocco Medium North_Africa popM 46.753 71.0753 66.1951 63.884 44.3204 67 97
58 Low mz Mozambique Medium Africa popM 25.1719 58.2931 17.9024 38.6542 63.8369 95 80
59 High nl Netherlands Small Northern_Europe popS 61.84 92.6943 92.7561 87.0721 95.7076 8 55
60 High nz New_Zealand Small Pacific popS 56.8351 91.6506 92.7561 85.7542 94.137 13 60
61 Low ni Nicaragua Small Central_America popS 33.303 69.1837 71.0244 57.1632 54.1703 75 84
62 Low ng Nigeria Large Africa popL 30.8387 65.5409 17.9024 41.5214 35.5168 99 96
63 High no Norway Small Northern_Europe popS 60.1113 87.1351 92.7561 98.4516 98.2889 6 50
64 High om Oman Small Middle_East popS 43.5084 78.8283 73.439 69.8406 40.776 60 89
65 Low pk Pakistan Large South_Asia popL 41.5338 66.8759 49.2927 49.4786 28.1908 89 92
66 Middle pa Panama Small Central_America popS 44.9346 81.9661 78.2683 63.0255 74.5313 41 88
67 Low py Paraguay Small South_America popS 24.5215 80.5408 71.0244 60.6721 54.4111 68 92
68 Middle pe Peru Medium South_America popM 46.0521 85.2614 78.2683 63.7161 62.4313 42 84
69 Low ph Philippines Large Pacific_Asia popL 40.105 81.512 66.1951 57.8688 56.8556 63 96
70 Middle pl Poland Medium Central_Europe popM 48.3652 91.0542 78.2683 73.8911 81.7852 29 75
71 High pt Portugal Small Southern_Europe popS 48.8681 86.2831 87.9268 78.3798 79.9702 27 60
72 High qa Qatar Small Middle_East popS 52.6964 66.1253 78.2683 76.118 40.2871 54 95
73 Middle ro Romania Medium Central_Europe popM 43.6252 81.2139 73.439 72.7583 73.9019 39 84
74 Middle ru Russia Large eurAsia popL 50.9866 88.0297 61.3659 68.8429 47.1536 51 34
75 High sa Saudi_Arabia Medium Middle_East popM 58.7793 76.741 66.1951 68.4276 29.413 64 93
76 Low sn Senegal Small Africa popS 37.9943 63.8001 39.6341 40.1805 49.1446 91 96
77 High sg Singapore Small Southeast_Asia popS 83.057 95.6017 92.7561 80.0038 53.2573 20 70
78 High sk Slovakia Small Central_Europe popS 44.8191 88.4898 78.2683 76.5187 79.8297 31 60
79 High si Slovenia Small Central_Europe popS 53.8575 89.2651 87.9268 78.4418 82.1666 24 47
80 Middle za South_Africa Medium Africa popM 59.1724 58.253 32.3902 46.4509 76.3427 82 85
81 High es Spain Medium Southern_Europe popM 60.6893 87.7741 95.1707 80.0811 80.6999 21 49
82 Low lk Sri_Lanka Medium South_Asia popM 38.2254 75.5137 68.6098 59.1842 52.4702 66 99
83 High se Sweden Small Northern_Europe popS 71.5193 90.756 95.1707 88.6475 98.5333 3 17
84 High ch Switzerland Small Western_Europe popS 71.3566 93.738 97.5854 94.1543 89.7407 2 41
85 Low sy Syria Medium Middle_East popM 29.7098 81.512 68.6098 66.2809 25.6388 83 89
86 Low tz Tanzania Medium Africa popM 27.6154 62.2942 25.1463 41.457 58.7647 93 89
87 Low th Thailand Large Southeast_Asia popL 49.4783 79.2756 66.1951 67.1553 48.7424 58 97
88 Low tn Tunisia Small Middle_East popS 42.6252 72.3107 75.8537 64.7892 38.8962 65 93
89 Middle tr Turkey Large Southern_Europe popL 39.6282 80.3938 75.8537 66.1416 54.2742 52 82
90 Low ug Uganda Medium Africa popM 29.4982 68.1897 17.9024 45.7503 42.0092 96 93
91 Low ua Ukraine Medium eastern_europe popM 39.787 84.6431 61.3659 71.6471 62.4313 49 46
92 High ae United_Arab_Emirates Small Middle_East popS 55.5752 73.9713 80.6829 84.9109 39.313 43 91
93 High gb United_Kingdom Large Northern_Europe popL 72.9428 92.8434 90.3415 84.7077 75.9222 14 27
94 High us United_States Large North_America popL 77.8452 89.4355 85.5122 88.5849 86.1816 11 65
95 Middle uy Uruguay Small South_America popS 33.6074 78.8283 78.2683 70.8971 72.7444 44 41
96 Middle ve Venezuela Medium South_America popM 21.6643 81.2869 75.8537 64.3049 46.848 71 79
97 Low vn Vietnam Large Southeast_Asia popL 35.0139 77.1392 71.0244 58.6788 32.5443 81 30
98 Low ye Yemen Medium Middle_East popM 37.6418 53.7801 46.878 43.9007 38.6334 92 99
99 Low zm Zambia Small Africa popS 37.5148 67.8404 13.0732 31.2595 52.8112 97 95

The table below is the transposed column-version of the row-version data table above.

id 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99
incGroup Low Middle Middle High High Low Low Middle High Low Middle Middle Middle Low Low High Middle Low Middle Middle High Middle High High Middle Low Low Low High Low High High High Low High Low Low High Low Low Low High High High Middle High Low Middle Low High High Middle Middle High Low Middle Middle Low Low High High Low Low High High Low Middle Low Middle Low Middle High High Middle Middle High Low High High High Middle High Low High High Low Low Low Low Middle Low Low High High High Middle Middle Low Low Low
key al dz ar au at az bd by be bo bw br bg bf cm ca cl cn co cr hr cu cz dk do ec eg sv ee et fi fr de gh gr gt hn hu in id ir ie il it jm jp jo kz ke kr kw lv lt lu mg my mx ma mz nl nz ni ng no om pk pa py pe ph pl pt qa ro ru sa sn sg sk si za es lk se ch sy tz th tn tr ug ua ae gb us uy ve vn ye zm
name Albania Algeria Argentina Australia Austria Azerbaijan Bangladesh Belarus Belgium Bolivia Botswana Brazil Bulgaria Burkina_Faso Cameroon Canada Chile China Colombia Costa_Rica Croatia Cuba Czech_Republic Denmark Dominican_Republic Ecuador Egypt El_Salvador Estonia Ethiopia Finland France Germany Ghana Greece Guatemala Honduras Hungary India Indonesia Iran Ireland Israel Italy Jamaica Japan Jordan Kazakhstan Kenya Korea_South Kuwait Latvia Lithuania Luxembourg Madagascar Malaysia Mexico Morocco Mozambique Netherlands New_Zealand Nicaragua Nigeria Norway Oman Pakistan Panama Paraguay Peru Philippines Poland Portugal Qatar Romania Russia Saudi_Arabia Senegal Singapore Slovakia Slovenia South_Africa Spain Sri_Lanka Sweden Switzerland Syria Tanzania Thailand Tunisia Turkey Uganda Ukraine United_Arab_Emirates United_Kingdom United_States Uruguay Venezuela Vietnam Yemen Zambia
popGroup Small Medium Medium Medium Small Small Large Small Small Small Small Large Small Small Small Medium Small Large Medium Small Small Small Small Small Small Small Large Small Small Large Small Large Large Medium Small Small Small Small Large Large Large Small Small Large Small Large Small Small Medium Medium Small Small Small Small Medium Medium Large Medium Medium Small Small Small Large Small Small Large Small Small Medium Large Medium Small Small Medium Large Medium Small Small Small Small Medium Medium Medium Small Small Medium Medium Large Small Large Medium Medium Small Large Large Small Medium Large Medium Small
region Southern_Europe North_Africa South_America Australia Central_Europe central_Asia South_Asia central_Asia Northern_Europe South_America Africa South_America Southern_Europe Africa Africa North_America South_America Asia South_America Central_America Central_Europe Caribbean Central_Europe Northern_Europe Caribbean South_America North_Africa Central_America Northern_Europe Africa Northern_Europe Western_Europe Central_Europe Africa Southern_Europe South_America Central_America Central_Europe South_Asia Southeast_Asia Middle_East Northern_Europe Middle_East Southern_Europe Caribbean Pacific_Asia Middle_East central_Asia Africa Pacific_Asia Middle_East Northern_Europe Northern_Europe Western_Europe Africa Southeast_Asia North_America North_Africa Africa Northern_Europe Pacific Central_America Africa Northern_Europe Middle_East South_Asia Central_America South_America South_America Pacific_Asia Central_Europe Southern_Europe Middle_East Central_Europe eurAsia Middle_East Africa Southeast_Asia Central_Europe Central_Europe Africa Southern_Europe South_Asia Northern_Europe Western_Europe Middle_East Africa Southeast_Asia Middle_East Southern_Europe Africa eastern_europe Middle_East Northern_Europe North_America South_America South_America Southeast_Asia Middle_East Africa
key2 popS popM popM popM popS popS popL popS popS popS popS popL popS popS popS popM popS popL popM popS popS popS popS popS popS popS popL popS popS popL popS popL popL popM popS popS popS popS popL popL popL popS popS popL popS popL popS popS popM popM popS popS popS popS popM popM popL popM popM popS popS popS popL popS popS popL popS popS popM popL popM popS popS popM popL popM popS popS popS popS popM popM popM popS popS popM popM popL popS popL popM popM popS popL popL popS popM popL popM popS
ED 34.0862 25.8057 37.4511 71.4888 53.9431 53.6457 31.058 51.915 60.4988 26.9803 43.6952 47.8506 43.7178 32.7894 26.4328 68.46 58.0767 62.6262 41.1648 38.0793 52.9764 37.7251 50.1115 65.0819 39.6553 23.9169 41.8745 33.8093 51.2727 33.63 70.4893 61.5445 61.8857 31.9902 47.4299 36.7532 30.0704 46.2277 49.9864 37.4354 34.8334 55.6233 61.9079 48.4651 42.0265 69.0427 49.2458 48.6159 39.8892 73.0227 56.7861 43.8555 49.1361 69.758 35.4386 61.9281 41.9543 46.753 25.1719 61.84 56.8351 33.303 30.8387 60.1113 43.5084 41.5338 44.9346 24.5215 46.0521 40.105 48.3652 48.8681 52.6964 43.6252 50.9866 58.7793 37.9943 83.057 44.8191 53.8575 59.1724 60.6893 38.2254 71.5193 71.3566 29.7098 27.6154 49.4783 42.6252 39.6282 29.4982 39.787 55.5752 72.9428 77.8452 33.6074 21.6643 35.0139 37.6418 37.5148
Edu 81.0164 74.8027 69.8825 91.4802 90.4578 68.988 58.6306 86.6155 92.0681 81.601 73.4608 71.3735 82.2277 44.5024 66.0308 96.7199 80.6175 78.0662 75.4289 80.38 90.4578 90.7114 90.9946 90.6815 78.5561 79.6607 77.9337 73.4608 93.3205 56.1334 102 91.3524 91.1288 64.9623 85.0904 69.5715 74.4553 90.2022 66.1975 74.3554 80.1702 92.8434 84.1958 87.0073 77.7112 94.0361 81.8699 91.3524 73.6873 96.7199 73.4608 89.5633 89.0663 88.9669 66.7326 86.4322 74.6536 71.0753 58.2931 92.6943 91.6506 69.1837 65.5409 87.1351 78.8283 66.8759 81.9661 80.5408 85.2614 81.512 91.0542 86.2831 66.1253 81.2139 88.0297 76.741 63.8001 95.6017 88.4898 89.2651 58.253 87.7741 75.5137 90.756 93.738 81.512 62.2942 79.2756 72.3107 80.3938 68.1897 84.6431 73.9713 92.8434 89.4355 78.8283 81.2869 77.1392 53.7801 67.8404
HI 71.0244 66.1951 78.2683 95.1707 90.3415 58.9512 51.7073 66.1951 90.3415 56.5366 34.8049 71.0244 75.8537 20.3171 25.1463 92.7561 85.5122 75.8537 75.8537 83.0976 80.6829 83.0976 85.5122 90.3415 68.6098 71.0244 61.3659 63.7805 75.8537 37.2195 90.3415 92.7561 92.7561 37.2195 90.3415 61.3659 66.1951 75.8537 51.7073 61.3659 63.7805 92.7561 92.7561 95.1707 71.0244 100 68.6098 51.7073 32.3902 87.9268 83.0976 71.0244 68.6098 92.7561 42.0488 71.0244 78.2683 66.1951 17.9024 92.7561 92.7561 71.0244 17.9024 92.7561 73.439 49.2927 78.2683 71.0244 78.2683 66.1951 78.2683 87.9268 78.2683 73.439 61.3659 66.1951 39.6341 92.7561 78.2683 87.9268 32.3902 95.1707 68.6098 95.1707 97.5854 68.6098 25.1463 66.1951 75.8537 75.8537 17.9024 61.3659 80.6829 90.3415 85.5122 78.2683 75.8537 71.0244 46.878 13.0732
QOL 67.924 60.9347 68.1559 90.5729 87.563 68.9572 48.5346 74.1467 85.3846 57.0621 50.0875 62.4238 73.1197 26.329 42.3787 88.0163 69.4734 61.0023 53.5549 70.386 74.4456 75.7909 77.1468 90.6586 63.6781 62.2891 63.6194 56.6223 71.4979 40.8582 91.4803 87.7615 88.7955 50.01 82.2692 54.0183 56.594 75.5361 47.4411 52.3378 65.642 86.7869 78.6284 84.0172 64.117 87.342 66.1489 70.3425 44.2958 77.0213 79.239 71.6455 72.0818 93.3429 32.9223 69.2828 67.6416 63.884 38.6542 87.0721 85.7542 57.1632 41.5214 98.4516 69.8406 49.4786 63.0255 60.6721 63.7161 57.8688 73.8911 78.3798 76.118 72.7583 68.8429 68.4276 40.1805 80.0038 76.5187 78.4418 46.4509 80.0811 59.1842 88.6475 94.1543 66.2809 41.457 67.1553 64.7892 66.1416 45.7503 71.6471 84.9109 84.7077 88.5849 70.8971 64.3049 58.6788 43.9007 31.2595
PE 58.6742 32.6054 68.6647 90.9629 91.2073 40.039 47.0631 34.0501 85.0999 57.1 72.6833 67.4131 73.1686 44.0296 33.1371 90.474 76.9 32.9684 56.6111 77.6297 75.8574 32.4759 81.6777 92.6703 62.7723 53.4333 40.7687 59.8537 73.2333 40.2333 92.674 82.8999 89.4962 65.702 77.461 49.774 55.0076 76.3036 63.1647 60.0944 31.1779 87.5407 78.0501 80.1499 65.4722 79.5241 48.8964 41.6462 56.0147 81.7204 50.3851 73.1686 78.1186 92.4296 56.748 59.8036 64.25 44.3204 63.8369 95.7076 94.137 54.1703 35.5168 98.2889 40.776 28.1908 74.5313 54.4111 62.4313 56.8556 81.7852 79.9702 40.2871 73.9019 47.1536 29.413 49.1446 53.2573 79.8297 82.1666 76.3427 80.6999 52.4702 98.5333 89.7407 25.6388 58.7647 48.7424 38.8962 54.2742 42.0092 62.4313 39.313 75.9222 86.1816 72.7444 46.848 32.5443 38.6334 52.8112
OA 57 85 46 4 18 69 88 56 19 77 80 48 38 100 98 7 30 59 62 35 28 50 25 10 55 70 74 72 32 94 1 16 12 86 26 84 76 33 78 73 79 17 22 23 47 9 53 61 87 15 40 36 34 5 90 37 45 67 95 8 13 75 99 6 60 89 41 68 42 63 29 27 54 39 51 64 91 20 31 24 82 21 66 3 2 83 93 58 65 52 96 49 43 14 11 44 71 81 92 97
Relig 39 95 66 65 20 50 99 34 55 89 80 87 50 90 96 42 70 40 83 79 70 80 30 19 87 82 97 83 16 95 80 30 40 95 71 88 84 39 90 99 95 54 51 72 78 24 90 43 94 43 91 39 42 39 70 96 73 97 80 55 60 84 96 50 89 92 88 92 84 96 75 60 95 84 34 93 96 70 60 47 85 49 99 17 41 89 89 97 93 82 93 46 91 27 65 41 79 30 99 95

Data Visualization Examples

Several SOCR Chart types may be used to display these data interactively.

SOCR World CountriesRankings 082310 Fig1.png
SOCR World CountriesRankings 082310 Fig2.png SOCR World CountriesRankings 082310 Fig3.png
SOCR World CountriesRankings 082310 Fig4.png

We can also utilize the SOCR simple linear regression or multivariate linear regression applets to study the relations between pairs or several variables (e.g., explore the relation between religiosity and overall ranking for the countries).

References

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