Evolution of Global Extreme Poverty Cost of Basic Needs , 1820-2018
Evolution of Global Hunger, 1820-2018
Evolution of Numeracy (Total), 1820-1960
Evolution of Global Extreme Poverty Dollar a Day, 1820-2018
Evolution of Gender Equality of Numeracy, 1820-1960
Evolution of Total Urban Population, 1500-2000
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 27 | Total Num. of Pigs | Total CO2 Emissions | Total CO2 Emissions | Cattle per Capita |
1870-1919 30 | Total Num. of Goats | CO2 Emissions per Capita |
Sheep per Capita | Biodiversity - naturalness |
1920-1959 32 | Composite Measure of Wellbeing |
Total CO2 Emissions | Sheep per Capita | Biodiversity - naturalness |
1960-2010 53 | Total Num. of Goats | Global Hunger | Sheep per Capita | Pigs per Capita |
Overall 57 | Total Cattle | Sheep per Capita | Sheep per Capita | Pigs per Capita |
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
Evolution of Gold Production, 1681-2012
Click on the KGZ badge next to an indicator below to download the corresponding indicator only for Kyrgyzstan. The badge is only shown when data for Kyrgyzstan are available. You can also download all available indicators for Kyrgyzstan by clicking here
Clicking on the indicator's title takes you to the indicator's page as usual.
Cattle per CapitaKGZ 1500 [43] 2010
Cropland per CapitaKGZ 1500 [34] 2010
Goats per CapitaKGZ 1500 [43] 2010
Pasture per CapitaKGZ 1500 [34] 2010
Pigs per CapitaKGZ 1500 [43] 2010
Sheep per CapitaKGZ 1500 [43] 2010
Total CattleKGZ 1500 [43] 2010
Total CroplandKGZ 1500 [34] 2010
Total Number of GoatsKGZ 1500 [43] 2010
Total Number of PigsKGZ 1500 [43] 2010
Total Number of SheepKGZ 1500 [43] 2010
Total PastureKGZ 1500 [34] 2010
DemographyComposite Measure
of WellbeingKGZ 1820 [19] 2000
Female life Expectancy at BirthKGZ 1960 [5] 2000
Global Extreme Poverty (CBN)KGZ 1820 [199] 2018
Global Extreme Poverty (DAD)KGZ 1820 [199] 2018
Global HungerKGZ 1820 [199] 2018
Life Expectancy at Birth (Total)KGZ 1950 [60] 2009
Male life Expectancy at BirthKGZ 1960 [5] 2000
Total PopulationKGZ 1800 [8] 2000
Total Urban PopulationKGZ 1500 [11] 2000
Urbanization RatioKGZ 1800 [3] 2000
EnvironmentBiodiversity - naturalnessKGZ 1500 [34] 2010
CO2 Emissions per CapitaKGZ 1830 [17] 2010
SO2 Emissions per CapitaKGZ 1850 [16] 2000
Total CO2 EmissionsKGZ 1830 [157] 2008
Total SO2 EmissionsKGZ 1850 [16] 2000
FinanceExchange Rates to UK PoundKGZ 1994 [20] 2013
Exchange Rates to US DollarKGZ 1994 [20] 2013
Gender Equality of NumeracyKGZ 1820 [12] 1960
Gender Equality Years
of Education
Historical Gender Equality IndexKGZ 1991 [13] 2003
Share of Women in ParliamentKGZ 1995 [14] 2008
Human CapitalAverage Years of EducationKGZ 1940 [6] 2010
Book Titles per CapitaKGZ 1924 [67] 1990
Educational Inequality Gini
CoefficientKGZ 1970 [41] 2010
Numeracy (Total)KGZ 1820 [14] 1960
InstitutionsArmed Conflicts (Internal)KGZ 1500 [501] 2000
Armed Conflicts (International)KGZ 1500 [501] 2000
Competitiveness of Executive
Recruitment (XRCOMP)KGZ 1991 [22] 2012
Competitiveness of Participations
(PARCOMP)KGZ 1991 [22] 2012
Executive Constraints
(XCONST)KGZ 1991 [22] 2012
Homicide RatesKGZ 1981 [28] 2010
Openness of Executive
Recruitment (XROPEN)KGZ 1991 [22] 2012
Political CompetitionKGZ 1991 [10] 2000
Political ParticipationKGZ 1991 [10] 2000
Polity2 IndexKGZ 1991 [22] 2012
Regulation of Chief Executive
Recruitment (XRREG)KGZ 1991 [22] 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.
© 2010-2024 - Clio Infra