Evolution of Total Population , 1800-2000
Evolution of Life Expectancy at Birth (Total), 1896-2011
Evolution of Numeracy (Total), 1820-1940
Evolution of Homicide Rates, 1920-2010
Evolution of Gender Equality of Numeracy, 1820-1940
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 21 | Total Cropland | Total CO2 Emissions | Total CO2 Emissions | Goats per Capita |
1870-1919 27 | Total Num. of Goats | Total CO2 Emissions | Total CO2 Emissions | Goats per Capita |
1920-1959 41 | Composite Measure of Wellbeing |
Total CO2 Emissions | Life Expectancy at Birth (Total) |
Goats per Capita |
1960-2010 52 | Total Num. of Goats | Cattle per Capita | Pigs per Capita | Goats per Capita |
Overall 59 | Total Cattle | Sheep per Capita | Pigs per Capita | Goats per Capita |
Evolution of Political Competition, 1918-2000
Evolution of Competitiveness of Participations (PARCOMP), 1920-2012
Evolution of Regulation of Participation (PARREG), 1920-2012
Evolution of Political Participation, 1918-2000
Evolution of Polity2 Index, 1920-2012
Click on the LVA badge next to an indicator below to download the corresponding indicator only for Latvia. The badge is only shown when data for Latvia are available. You can also download all available indicators for Latvia by clicking here
Clicking on the indicator's title takes you to the indicator's page as usual.
Cattle per CapitaLVA 1500 [43] 2010
Cropland per CapitaLVA 1500 [34] 2010
Goats per CapitaLVA 1500 [43] 2010
Pasture per CapitaLVA 1500 [34] 2010
Pigs per CapitaLVA 1500 [43] 2010
Sheep per CapitaLVA 1500 [43] 2010
Total CattleLVA 1500 [43] 2010
Total CroplandLVA 1500 [34] 2010
Total Number of GoatsLVA 1500 [43] 2010
Total Number of PigsLVA 1500 [43] 2010
Total Number of SheepLVA 1500 [43] 2010
Total PastureLVA 1500 [34] 2010
DemographyComposite Measure
of WellbeingLVA 1820 [19] 2000
Female life Expectancy at BirthLVA 1950 [6] 2000
Life Expectancy at Birth (Total)LVA 1896 [65] 2011
Male life Expectancy at BirthLVA 1950 [6] 2000
Total PopulationLVA 1800 [12] 2000
Total Urban PopulationLVA 1500 [11] 2000
Urbanization RatioLVA 1800 [3] 2000
EnvironmentBiodiversity - naturalnessLVA 1500 [34] 2010
CO2 Emissions per CapitaLVA 1930 [3] 2010
SO2 Emissions per CapitaLVA 1850 [16] 2000
Total CO2 EmissionsLVA 1830 [157] 2008
Total SO2 EmissionsLVA 1850 [16] 2000
FinanceExchange Rates to UK PoundLVA 1799 [49] 2013
Exchange Rates to US DollarLVA 1992 [22] 2013
Gender Equality of NumeracyLVA 1820 [12] 1940
Gender Equality Years
of Education
Historical Gender Equality IndexLVA 1991 [13] 2003
Share of Women in ParliamentLVA 1993 [18] 2010
Human CapitalAverage Years of EducationLVA 1960 [6] 2010
Book Titles per CapitaLVA 1940 [57] 1996
Educational Inequality Gini
CoefficientLVA 1970 [41] 2010
Numeracy (Total)LVA 1820 [12] 1940
Universities FoundedLVA 1919 [4] 1991
InstitutionsArmed Conflicts (Internal)LVA 1500 [501] 2000
Armed Conflicts (International)LVA 1500 [501] 2000
Competitiveness of Executive
Recruitment (XRCOMP)LVA 1920 [43] 2012
Competitiveness of Participations
(PARCOMP)LVA 1920 [43] 2012
Executive Constraints
(XCONST)LVA 1920 [43] 2012
Homicide RatesLVA 1920 [40] 2010
Latent Democracy VariableLVA 1920 [30] 2000
Openness of Executive
Recruitment (XROPEN)LVA 1920 [43] 2012
Political CompetitionLVA 1918 [32] 2000
Political ParticipationLVA 1918 [32] 2000
Polity2 IndexLVA 1920 [43] 2012
Regulation of Chief Executive
Recruitment (XRREG)LVA 1920 [43] 2012
Number of Days Lost in
Labour DisputesLVA 1927 [34] 2013
Number of Labour DisputesLVA 1927 [26] 2013
Number of Workers Involved
in Labour DisputesLVA 1927 [26] 2013
Working week
in manufacturingLVA 1995 [14] 2008
GDP per CapitaLVA 1973 [38] 2016
Prices and WagesIncome InequalityLVA 1870 [5] 2000
Labourers Real WageLVA 1925 [11] 1939
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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