Evolution of Numeracy (Total) , 1820-1940
Evolution of Gender Equality of Numeracy, 1820-1930
Evolution of Total Urban Population, 1500-2000
Evolution of Cattle per Capita, 1500-2010
Evolution of Cropland per Capita, 1500-2010
Evolution of Goats per Capita, 1500-2010
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 22 | Gender Equality of Numeracy |
Total CO2 Emissions | Pasture per Capita | Cattle per Capita |
1870-1919 25 | Total Num. of Goats | CO2 Emissions per Capita |
Pasture per Capita | Total Cattle |
1920-1959 24 | Composite Measure of Wellbeing |
Total CO2 Emissions | Sheep per Capita | CO2 Emissions per Capita |
1960-2010 42 | Total Num. of Goats | Total SO2 Emissions | Pasture per Capita | CO2 Emissions per Capita |
Overall 49 | Total Cattle | Sheep per Capita | Pasture per Capita | Pigs per Capita |
Evolution of Biodiversity - naturalness, 1500-2010
Evolution of CO2 Emissions per Capita, 1830-2010
Evolution of SO2 Emissions per Capita, 1850-2000
Evolution of Armed conflicts (Internal), 1500-2000
Evolution of Armed Conflicts (International), 1500-2000
Click on the TKM badge next to an indicator below to download the corresponding indicator only for Turkmenistan. The badge is only shown when data for Turkmenistan are available. You can also download all available indicators for Turkmenistan by clicking here
Clicking on the indicator's title takes you to the indicator's page as usual.
Cattle per CapitaTKM 1500 [43] 2010
Cropland per CapitaTKM 1500 [34] 2010
Goats per CapitaTKM 1500 [43] 2010
Pasture per CapitaTKM 1500 [34] 2010
Pigs per CapitaTKM 1500 [43] 2010
Sheep per CapitaTKM 1500 [43] 2010
Total CattleTKM 1500 [43] 2010
Total CroplandTKM 1500 [34] 2010
Total Number of GoatsTKM 1500 [43] 2010
Total Number of PigsTKM 1500 [43] 2010
Total Number of SheepTKM 1500 [43] 2010
Total PastureTKM 1500 [34] 2010
DemographyComposite Measure
of WellbeingTKM 1820 [19] 2000
Female life Expectancy at BirthTKM 1960 [5] 2000
Life Expectancy at Birth (Total)TKM 1950 [60] 2009
Male life Expectancy at BirthTKM 1960 [5] 2000
Total PopulationTKM 1800 [8] 2000
Total Urban PopulationTKM 1500 [11] 2000
Urbanization RatioTKM 1800 [3] 2000
EnvironmentBiodiversity - naturalnessTKM 1500 [34] 2010
CO2 Emissions per CapitaTKM 1830 [17] 2010
SO2 Emissions per CapitaTKM 1850 [16] 2000
Total CO2 EmissionsTKM 1830 [157] 2008
Total SO2 EmissionsTKM 1850 [16] 2000
FinanceExchange Rates to UK PoundTKM 1994 [8] 2001
Exchange Rates to US DollarTKM 1994 [8] 2001
Gender Equality of NumeracyTKM 1820 [11] 1930
Gender Equality Years
of Education
Historical Gender Equality Index
Share of Women in ParliamentTKM 1994 [15] 2008
Human CapitalAverage Years of EducationTKM 1940 [2] 1970
Book Titles per CapitaTKM 1924 [67] 1990
Educational Inequality Gini
Coefficient
Numeracy (Total)TKM 1820 [12] 1940
InstitutionsArmed Conflicts (Internal)TKM 1500 [501] 2000
Armed Conflicts (International)TKM 1500 [501] 2000
Competitiveness of Executive
Recruitment (XRCOMP)TKM 1991 [22] 2012
Competitiveness of Participations
(PARCOMP)TKM 1991 [22] 2012
Executive Constraints
(XCONST)TKM 1991 [22] 2012
Homicide RatesTKM 1981 [25] 2008
Openness of Executive
Recruitment (XROPEN)TKM 1991 [22] 2012
Political CompetitionTKM 1991 [10] 2000
Political ParticipationTKM 1991 [10] 2000
Polity2 IndexTKM 1991 [22] 2012
Regulation of Chief Executive
Recruitment (XRREG)TKM 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