Evolution of GDP per Capita , 1800-2016
Evolution of Total Population, 1800-2000
Evolution of Life Expectancy at Birth (Total), 1900-2009
Evolution of Global Extreme Poverty Cost of Basic Needs, 1820-2018
Evolution of Global Hunger, 1820-2018
Evolution of Numeracy (Total), 1780-1950
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 39 | Total Pasture | Sheep per Capita | Cattle per Capita | Total Num. of Goats |
1870-1919 45 | Total Cattle | Polity2 Index | Cattle per Capita | Goats per Capita |
1920-1959 56 | Composite Measure of Wellbeing |
Total SO2 Emissions | Competitiveness of Participations (PARCOMP) Regulation of Participation (PARREG) Cattle per Capita Openness of Executive Recruitment (XROPEN) |
Goats per Capita |
1960-2010 58 | GDP per Capita | Total Gross Central Government Debt as a Percentage of GDP |
Cattle per Capita | Inflation |
Overall 63 | N/A | N/A | Cropland per Capita | Total Cropland |
Evolution of Inflation, 1871-2010
Evolution of Total Gross Central Government Debt as a Percentage of GDP, 1871-2009
Evolution of Average Years of Education, 1870-2010
Evolution of Global Extreme Poverty Dollar a Day, 1820-2018
Evolution of Educational Inequality Gini Coefficient, 1890-2010
Click on the URY badge next to an indicator below to download the corresponding indicator only for Uruguay. The badge is only shown when data for Uruguay are available. You can also download all available indicators for Uruguay by clicking here
Clicking on the indicator's title takes you to the indicator's page as usual.
Cattle per CapitaURY 1600 [42] 2010
Cropland per CapitaURY 1500 [34] 2010
Goats per CapitaURY 1600 [42] 2010
Pasture per CapitaURY 1600 [33] 2010
Pigs per CapitaURY 1600 [42] 2010
Sheep per CapitaURY 1600 [42] 2010
Total CattleURY 1600 [42] 2010
Total CroplandURY 1500 [34] 2010
Total Number of GoatsURY 1600 [42] 2010
Total Number of PigsURY 1600 [42] 2010
Total Number of SheepURY 1600 [42] 2010
Total PastureURY 1600 [33] 2010
DemographyComposite Measure
of WellbeingURY 1820 [19] 2000
Female life Expectancy at BirthURY 1960 [5] 2000
Global Extreme Poverty (CBN)URY 1820 [199] 2018
Global Extreme Poverty (DAD)URY 1820 [199] 2018
Global HungerURY 1820 [199] 2018
Life Expectancy at Birth (Total)URY 1900 [65] 2009
Male life Expectancy at BirthURY 1960 [5] 2000
Total PopulationURY 1800 [18] 2000
Total Urban PopulationURY 1700 [7] 2000
Urbanization RatioURY 1800 [5] 2000
EnvironmentBiodiversity - naturalnessURY 1500 [34] 2010
CO2 Emissions per CapitaURY 1940 [8] 2010
SO2 Emissions per CapitaURY 1850 [16] 2000
Total CO2 EmissionsURY 1932 [77] 2008
Total SO2 EmissionsURY 1850 [16] 2000
FinanceExchange Rates to UK PoundURY 1871 [128] 2013
Exchange Rates to US DollarURY 1919 [92] 2013
Gold StandardURY 1800 [211] 2010
Long-Term Government
Bond YieldURY 1936 [34] 1969
Total Gross Central Government
Debt as a Percentage of GDPURY 1871 [116] 2009
Gender Equality of NumeracyURY 1810 [12] 1950
Gender Equality Years
of Education
Historical Gender Equality IndexURY 1950 [54] 2003
Human CapitalAverage Years of EducationURY 1870 [15] 2010
Educational Inequality Gini
CoefficientURY 1890 [121] 2010
Numeracy (Total)URY 1780 [15] 1950
InstitutionsArmed Conflicts (Internal)URY 1500 [501] 2000
Armed Conflicts (International)URY 1500 [501] 2000
Competitiveness of Executive
Recruitment (XRCOMP)URY 1830 [183] 2012
Competitiveness of Participations
(PARCOMP)URY 1830 [183] 2012
Executive Constraints
(XCONST)URY 1830 [183] 2012
Homicide RatesURY 1938 [59] 2010
Latent Democracy VariableURY 1850 [149] 2000
Openness of Executive
Recruitment (XROPEN)URY 1830 [183] 2012
Political CompetitionURY 1828 [173] 2000
Political ParticipationURY 1828 [173] 2000
Polity2 IndexURY 1830 [183] 2012
Regulation of Chief Executive
Recruitment (XRREG)URY 1830 [183] 2012
Number of Days Lost in
Labour DisputesURY 1927 [20] 2010
Number of Labour DisputesURY 1927 [19] 2010
Number of Workers Involved
in Labour DisputesURY 1927 [20] 2010
Working week
in manufacturingURY 1981 [28] 2008
GDP per CapitaURY 1800 [151] 2016
Prices and WagesIncome InequalityURY 1870 [4] 2000
Labourers Real WageURY 1940 [33] 1995
ProductionGold ProductionURY 1681 [332] 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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