Difference between revisions of "SOCR Data 2008 World CountriesRankings"
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*** 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]). | *** 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]). | *** 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]). | + | *** Extreme poverty: percent of the population living on less than $\$ $2/day ([http://web.worldbank.org/WBSITE/EXTERNAL/TOPICS/EXTPOVERTY/0,,menuPK:336998~pagePK:149018~piPK:149093~theSitePK:336992,00.html World Bank]). |
*** Standard of living: Consumption per capita - private consumption divided by population ([http://www.ihsglobalinsight.com Global Insight]). | *** Standard of living: Consumption per capita - private consumption divided by population ([http://www.ihsglobalinsight.com Global Insight]). | ||
*** Homicide rate: Homicides per 100,000 population ([http://www.unodc.org/ UN Office on Drugs and Crime]). | *** Homicide rate: Homicides per 100,000 population ([http://www.unodc.org/ UN Office on Drugs and Crime]). | ||
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*** Unemployment rate: percentage of labor force without jobs ([https://www.cia.gov/library/publications/the-world-factbook/ CIA World Fact Book]). | *** Unemployment rate: percentage of labor force without jobs ([https://www.cia.gov/library/publications/the-world-factbook/ CIA World Fact Book]). | ||
** '''Economic Dynamism''': measure of the country's economic conditions. | ** '''Economic Dynamism''': measure of the country's economic conditions. | ||
− | *** Growth in GDP/capita: purchasing power parity multiplied by the average of the GDP per Capita growth rate over the last ten years and the GDP per Capita growth rate over the next ten years ([https://www.cia.gov/library/publications/the-world-factbook/CIA World Fact Book]). Expressed in incremental US$ of growth per person. | + | *** 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]). | *** 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]). | *** 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]). | ||
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* '''id''': Unique country identifier | * '''id''': Unique country identifier | ||
* '''incGroup''': Income group: | * '''incGroup''': Income group: | ||
− | ** Low: GNI per capita < $3,946 | + | ** Low: GNI per capita < $\$ $3,946 |
− | ** Middle: $3,946 < GNI per capita < $12,195 | + | ** Middle: $\$ $3,946 < GNI per capita < $\$ $12,195 |
− | ** High: GNI per capita > $12,196 | + | ** High: GNI per capita > $\$ $12,196 |
* '''key''': unique 2-letter country code | * '''key''': unique 2-letter country code | ||
* '''name''': Country Name | * '''name''': Country Name | ||
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* '''Edu''': Education/Literacy Rate (percent of population able to read and write at a specified age) | * '''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 | * '''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 | + | * '''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) | * '''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. | * '''OA''': Overall country ranking taking all measures into account. | ||
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===Data Visualization Examples=== | ===Data Visualization Examples=== | ||
− | Several [ SOCR Chart types] may be used to display these data interactively. | + | 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] | * 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> | <center>[[Image:SOCR_World_CountriesRankings_082310_Fig1.png|600px]]</center> | ||
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* Motion Charts [[SOCR_MotionCharts | Activities]] and [http://socr.ucla.edu/SOCR_MotionCharts/ applets] | * Motion Charts [[SOCR_MotionCharts | Activities]] and [http://socr.ucla.edu/SOCR_MotionCharts/ applets] | ||
<center>[[Image:SOCR_World_CountriesRankings_082310_Fig4.png|600px]]</center> | <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=== | ||
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<hr> | <hr> | ||
− | * SOCR Home page: http://www.socr. | + | * SOCR Home page: http://www.socr.umich.edu |
− | {{translate|pageName=http://wiki. | + | {{translate|pageName=http://wiki.socr.umich.edu/index.php?title=SOCR_Data_2008_World_CountriesRankings}} |
Latest revision as of 01:35, 16 August 2014
Contents
SOCR Data - Ranking of the top 100 Countries based on Political, Economic, Health, and Quality-of-Life Factors
Data Description
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:
- Inequality measure: Gini coefficient measuring the degree of inequality in family income (UNDP).
- Gender Gap: the degree of economic, health, education and political inequality between the sexes (World Economic Forum, Gender Gap).
- Extreme poverty: percent of the population living on less than $\$ $2/day (World Bank).
- Standard of living: Consumption per capita - private consumption divided by population (Global Insight).
- Homicide rate: Homicides per 100,000 population (UN Office on Drugs and Crime).
- Environmental Health: air/water pollution and environmental burden of disease on humans (Yale’s Environmental Performance Index).
- Unemployment rate: percentage of labor force without jobs (CIA World Fact Book).
- Economic Dynamism: measure of the country's economic conditions.
- Growth in GDP/capita: purchasing power parity multiplied by the average of the GDP per Capita growth rate over the last ten years and the GDP per Capita growth rate over the next ten years (World Fact Book). Expressed in incremental US$\$ $ 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.
- Area Charts Activities and applets
- Spider Charts Activities and applets
- Motion Charts Activities and applets
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
- Newsweek's Methodology, Country Ranking and Supporting Article.
- XML Data and XML Metadata.
- SOCR Home page: http://www.socr.umich.edu
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