Evolution of Total Population , 1800-2000
Evolution of Global Extreme Poverty Cost of Basic Needs, 1820-2018
Evolution of Global Hunger, 1820-2018
Evolution of Global Extreme Poverty Dollar a Day, 1820-2018
Evolution of Competitiveness of Participations (PARCOMP), 1907-2012
Evolution of Regulation of Participation (PARREG), 1907-2012
Raking and performance of all available indicators for the entire period covered by the data (download all indicators)
Period | Best performing | Worst performing | Best ranking | Worst ranking |
---|---|---|---|---|
1820-1869 19 | Total Pasture | Global Hunger | Cattle per Capita | Composite Measure of Wellbeing |
1870-1919 26 | Total Pasture | Sheep per Capita | Biodiversity - naturalness |
Composite Measure of Wellbeing |
1920-1959 35 | Total Pasture | Sheep per Capita | Regulation of Chief Executive Recruitment (XRREG) |
Composite Measure of Wellbeing |
1960-2010 43 | Executive Constraints (XCONST) |
Total CO2 Emissions | Regulation of Chief Executive Recruitment (XRREG) |
Unified Democracy Scores (UDS) |
Overall 45 | Total Pasture | Sheep per Capita | Biodiversity - naturalness |
Total Cropland |
Evolution of Polity2 Index, 1907-2012
Evolution of Cattle per Capita, 1500-2010
Evolution of Cropland per Capita, 1500-2010
Evolution of Goats per Capita, 1500-2010
Evolution of Biodiversity - naturalness, 1500-2010
Click on the BTN badge next to an indicator below to download the corresponding indicator only for Bhutan. The badge is only shown when data for Bhutan are available. You can also download all available indicators for Bhutan by clicking here
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Cattle per CapitaBTN 1500 [43] 2010
Cropland per CapitaBTN 1500 [34] 2010
Goats per CapitaBTN 1500 [43] 2010
Pasture per CapitaBTN 1500 [34] 2010
Pigs per CapitaBTN 1500 [43] 2010
Sheep per CapitaBTN 1500 [43] 2010
Total CattleBTN 1500 [43] 2010
Total CroplandBTN 1500 [34] 2010
Total Number of GoatsBTN 1500 [43] 2010
Total Number of PigsBTN 1500 [43] 2010
Total Number of SheepBTN 1500 [43] 2010
Total PastureBTN 1500 [34] 2010
DemographyComposite Measure
of WellbeingBTN 1820 [19] 2000
Female life Expectancy at BirthBTN 1960 [5] 2000
Global Extreme Poverty (CBN)BTN 1820 [199] 2018
Global Extreme Poverty (DAD)BTN 1820 [199] 2018
Global HungerBTN 1820 [199] 2018
Infant MortalityBTN 1960 [4] 2000
Life Expectancy at Birth (Total)BTN 1950 [60] 2009
Male life Expectancy at BirthBTN 1960 [5] 2000
Total PopulationBTN 1800 [12] 2000
Total Urban PopulationBTN 1950 [2] 2000
Urbanization RatioBTN 1950 [2] 2000
EnvironmentBiodiversity - naturalnessBTN 1500 [34] 2010
CO2 Emissions per CapitaBTN 1970 [5] 2010
Total CO2 EmissionsBTN 1970 [39] 2008
FinanceExchange Rates to UK PoundBTN 1952 [62] 2013
Exchange Rates to US DollarBTN 1952 [62] 2013
Long-Term Government
Bond Yield
Total Gross Central Government
Debt as a Percentage of GDPBTN 1990 [20] 2009
Gender Equality Years
of Education
Historical Gender Equality Index
Human CapitalEducational Inequality Gini
Coefficient
Armed Conflicts (Internal)BTN 1500 [501] 2000
Armed Conflicts (International)BTN 1500 [501] 2000
Competitiveness of Executive
Recruitment (XRCOMP)BTN 1907 [106] 2012
Competitiveness of Participations
(PARCOMP)BTN 1907 [106] 2012
Executive Constraints
(XCONST)BTN 1907 [106] 2012
Homicide RatesBTN 2000 [10] 2009
Latent Democracy VariableBTN 1949 [52] 2000
Openness of Executive
Recruitment (XROPEN)BTN 1907 [106] 2012
Political CompetitionBTN 1949 [52] 2000
Political ParticipationBTN 1949 [52] 2000
Polity2 IndexBTN 1907 [106] 2012
Regulation of Chief Executive
Recruitment (XRREG)BTN 1907 [106] 2012
Anguilla[No Data]
Antigua and Barbuda1500 (5)-2013 (21)
Aruba[No Data]
Bonaire, Sint Eustatius and Saba[No Data]
British Virgin Islands[No Data]
Cayman Islands[No Data]
Curaçao[No Data]
Dominican Republic1500 (6)-2018 (39)
Guadeloupe[No Data]
Martinique[No Data]
Montserrat[No Data]
Puerto Rico[No Data]
Saint Kitts and Nevis1500 (5)-2010 (14)
Saint Martin (French part)[No Data]
Saint Vincent and the Grenadines1500 (5)-2010 (20)
Saint-Barthélemy[No Data]
Sint Maarten (Dutch part)[No Data]
Trinidad and Tobago1500 (5)-2018 (35)
Turks and Caicos Islands[No Data]
United States Virgin Islands[No Data] Central America
Bolivia (Plurinational State of)1500 (8)-2018 (42)
Falkland Islands (Malvinas)[No Data]
French Guiana[No Data]
Venezuela (Bolivarian Republic of)1500 (8)-2018 (40)
Northern AmericaBermuda[No Data]
Greenland[No Data]
Saint Pierre and Miquelon[No Data]
Turkmenistan1500 (16)-2016 (27)
Eastern AsiaChina, Hong Kong Special Administrative Region[No Data]
China, Macao Special Administrative Region[No Data]
Åland Islands[No Data]
Channel Islands[No Data]
Faeroe Islands[No Data]
Guernsey[No Data]
Isle of Man[No Data]
Jersey[No Data]
Sark[No Data]
Svalbard and Jan Mayen Islands[No Data]
United Kingdom of Great Britain and Northern Ireland1500 (20)-2018 (56)
Guam[No Data]
Marshall Islands1500 (4)-2010 (5)
Micronesia (Federated States of)1500 (2)-2013 (6)
Northern Mariana Islands[No Data]
American Samoa[No Data]
French Polynesia[No Data]
Niue[No Data]
Pitcairn[No Data]
Tokelau[No Data]
Wallis and Futuna Islands[No Data]
Åland Islands[No Data]
Channel Islands[No Data]
Faeroe Islands[No Data]
Gibraltar[No Data]
Greenland[No Data]
Guernsey[No Data]
Holy See[No Data]
Isle of Man[No Data]
Jersey[No Data]
Netherlands1500 (22)-2018 (43)
Sark[No Data]
Svalbard and Jan Mayen Islands[No Data]
Switzerland1500 (19)-2018 (44)
United Kingdom of Great Britain and Northern Ireland1500 (20)-2018 (56)
Anguilla[No Data]
Antigua and Barbuda1500 (5)-2013 (21)
Aruba[No Data]
Bermuda[No Data]
Bolivia (Plurinational State of)1500 (8)-2018 (42)
Bonaire, Sint Eustatius and Saba[No Data]
British Virgin Islands[No Data]
Cayman Islands[No Data]
Curaçao[No Data]
Dominican Republic1500 (6)-2018 (39)
Falkland Islands (Malvinas)[No Data]
French Guiana[No Data]
Guadeloupe[No Data]
Martinique[No Data]
Montserrat[No Data]
Puerto Rico[No Data]
Saint Kitts and Nevis1500 (5)-2010 (14)
Saint Martin (French part)[No Data]
Saint Pierre and Miquelon[No Data]
Saint Vincent and the Grenadines1500 (5)-2010 (20)
Saint-Barthélemy[No Data]
Sint Maarten (Dutch part)[No Data]
Trinidad and Tobago1500 (5)-2018 (35)
Turks and Caicos Islands[No Data]
United States Virgin Islands[No Data]
Afghanistan1500 (16)-2016 (28)
American Samoa[No Data]
Brunei Darussalam1500 (12)-2013 (19)
French Polynesia[No Data]
Guam[No Data]
Marshall Islands1500 (4)-2010 (5)
Micronesia (Federated States of)1500 (2)-2013 (6)
New Caledonia[No Data]
Niue[No Data]
Norfolk Island[No Data]
Northern Mariana Islands[No Data]
Philippines1500 (17)-2018 (46)
Pitcairn[No Data]
Solomon Islands1500 (11)-2018 (25)
Tokelau[No Data]
Wallis and Futuna Islands[No Data]
China, Hong Kong Special Administrative Region[No Data]
China, Macao Special Administrative Region[No Data]
Guinea-Bissau1500 (16)-2018 (31)
Mayotte[No Data]
Réunion[No Data]
Saint Helena[No Data]
Sao Tome and Principe1500 (14)-2016 (20)
Sierra Leone1500 (15)-2018 (36)
South Africa1500 (14)-2018 (49)
In 2010, the Netherlands Organisation for Scientific Research (NWO) awarded a subsidy to the Clio Infra project, of which Jan Luiten van Zanden was the main applicant and which is hosted by the International Institute of Social History (IISH). Clio Infra has set up a number of interconnected databases containing worldwide data on social, economic, and institutional indicators for the past five centuries, with special attention to the past 200 years. These indicators allow research into long-term development of worldwide economic growth and inequality.
Global inequality is one of the key problems of the contemporary world. Some countries have (recently) become wealthy, other countries have remained poor. New theoretical developments in economics - such as new institutional economics, new economic geography, and new growth theory - and the rise of global economic and social history require such processes to be studied on a worldwide scale. Clio Infra provides datasets for the most important indicators. Economic and social historians from around the world have been working together in thematic collaboratories, in order to collect and share their knowledge concerning the relevant indicators of economic performance and its causes. The collected data have been standardized, harmonized, and stored for future use. New indicators to study inequality have been developed. The datasets are accessible through the Clio Infra portal which also offers possibilities for visualization of the data. Clio Infra offers the opportunity to greatly enhance our understanding of the origins, causes and character of the process of global inequality.
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