Evolution of Total Population , 1800-2000
Evolution of Life Expectancy at Birth (Total), 1900-2011
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
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 24 | Gender Equality of Numeracy |
Total CO2 Emissions | Total CO2 Emissions | Goats per Capita |
1870-1919 35 | Total Num. of Goats | Total CO2 Emissions | Cropland per Capita | Goats per Capita |
1920-1959 40 | Composite Measure of Wellbeing |
Total CO2 Emissions | Cropland per Capita | Biodiversity - naturalness |
1960-2010 55 | Average Years of Education |
Cattle per Capita | Cropland per Capita | Biodiversity - naturalness |
Overall 60 | Total Cattle | Sheep per Capita | Cropland per Capita | Goats per Capita |
Evolution of Gender Equality of Numeracy, 1820-1960
Evolution of Total Urban Population, 1500-2000
Evolution of Political Competition, 1918-2000
Evolution of Latent Democracy Variable, 1918-2000
Evolution of Competitiveness of Participations (PARCOMP), 1918-2012
Click on the LTU badge next to an indicator below to download the corresponding indicator only for Lithuania. The badge is only shown when data for Lithuania are available. You can also download all available indicators for Lithuania by clicking here
Clicking on the indicator's title takes you to the indicator's page as usual.
Cattle per CapitaLTU 1500 [43] 2010
Cropland per CapitaLTU 1500 [34] 2010
Goats per CapitaLTU 1500 [43] 2010
Pasture per CapitaLTU 1500 [34] 2010
Pigs per CapitaLTU 1500 [43] 2010
Sheep per CapitaLTU 1500 [43] 2010
Total CattleLTU 1500 [43] 2010
Total CroplandLTU 1500 [34] 2010
Total Number of GoatsLTU 1500 [43] 2010
Total Number of PigsLTU 1500 [43] 2010
Total Number of SheepLTU 1500 [43] 2010
Total PastureLTU 1500 [34] 2010
DemographyComposite Measure
of WellbeingLTU 1820 [19] 2000
Female life Expectancy at BirthLTU 1950 [6] 2000
Global Extreme Poverty (CBN)LTU 1820 [199] 2018
Global Extreme Poverty (DAD)LTU 1820 [199] 2018
Global HungerLTU 1820 [199] 2018
Life Expectancy at Birth (Total)LTU 1900 [64] 2011
Male life Expectancy at BirthLTU 1950 [6] 2000
Total PopulationLTU 1800 [12] 2000
Total Urban PopulationLTU 1500 [11] 2000
Urbanization RatioLTU 1800 [3] 2000
EnvironmentBiodiversity - naturalnessLTU 1500 [34] 2010
CO2 Emissions per CapitaLTU 2000 [2] 2010
SO2 Emissions per CapitaLTU 1850 [16] 2000
Total CO2 EmissionsLTU 1830 [157] 2008
Total SO2 EmissionsLTU 1850 [16] 2000
FinanceExchange Rates to UK PoundLTU 1925 [38] 2013
Exchange Rates to US DollarLTU 1992 [22] 2013
Gender Equality of NumeracyLTU 1820 [12] 1960
Gender Equality Years
of Education
Historical Gender Equality IndexLTU 1991 [13] 2003
Share of Women in ParliamentLTU 1992 [19] 2010
Human CapitalAverage Years of EducationLTU 1960 [6] 2010
Book Titles per CapitaLTU 1940 [56] 1996
Educational Inequality Gini
CoefficientLTU 1970 [41] 2010
Numeracy (Total)LTU 1820 [14] 1960
Universities FoundedLTU 1578 [6] 1994
InstitutionsArmed Conflicts (Internal)LTU 1500 [501] 2000
Armed Conflicts (International)LTU 1500 [501] 2000
Competitiveness of Executive
Recruitment (XRCOMP)LTU 1918 [45] 2012
Competitiveness of Participations
(PARCOMP)LTU 1918 [45] 2012
Executive Constraints
(XCONST)LTU 1918 [45] 2012
Homicide RatesLTU 1939 [29] 2010
Latent Democracy VariableLTU 1918 [30] 2000
Openness of Executive
Recruitment (XROPEN)LTU 1918 [45] 2012
Political CompetitionLTU 1918 [32] 2000
Political ParticipationLTU 1918 [32] 2000
Polity2 IndexLTU 1918 [45] 2012
Regulation of Chief Executive
Recruitment (XRREG)LTU 1918 [45] 2012
Number of Days Lost in
Labour DisputesLTU 2000 [10] 2012
Number of Labour DisputesLTU 2000 [10] 2012
Number of Workers Involved
in Labour DisputesLTU 2000 [10] 2012
Working week
in manufacturingLTU 1992 [17] 2008
GDP per CapitaLTU 1973 [38] 2016
Prices and WagesIncome InequalityLTU 1990 [2] 2000
ProductionAnguilla[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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