Evolution of Total Population , 1500-2000
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 Urbanization Ratio, 1500-2000
Evolution of Total Gross Central Government Debt as a Percentage of GDP, 1927-2009
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 34 | Total Pasture | Competitiveness of Participations (PARCOMP) |
Openness of Executive Recruitment (XROPEN) |
Total Cropland |
1870-1919 39 | Average Years of Education |
Total SO2 Emissions | Openness of Executive Recruitment (XROPEN) |
Total Cropland |
1920-1959 48 | Polyarchy | Total SO2 Emissions | Cattle per Capita | Total Population |
1960-2010 55 | Executive Constraints (XCONST) |
Number of Labour Disputes |
Openness of Executive Recruitment (XROPEN) |
Goats per Capita |
Overall 60 | N/A | N/A | Biodiversity - naturalness |
Total Cropland |
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
Evolution of Total Urban Population, 1500-2000
Evolution of Political Competition, 1811-2000
Click on the PRY badge next to an indicator below to download the corresponding indicator only for Paraguay. The badge is only shown when data for Paraguay are available. You can also download all available indicators for Paraguay by clicking here
Clicking on the indicator's title takes you to the indicator's page as usual.
Cattle per CapitaPRY 1600 [42] 2010
Cropland per CapitaPRY 1500 [34] 2010
Goats per CapitaPRY 1600 [42] 2010
Pasture per CapitaPRY 1600 [33] 2010
Pigs per CapitaPRY 1600 [42] 2010
Sheep per CapitaPRY 1600 [42] 2010
Total CattlePRY 1600 [42] 2010
Total CroplandPRY 1500 [34] 2010
Total Number of GoatsPRY 1600 [42] 2010
Total Number of PigsPRY 1600 [42] 2010
Total Number of SheepPRY 1600 [42] 2010
Total PasturePRY 1600 [33] 2010
DemographyComposite Measure
of WellbeingPRY 1820 [19] 2000
Female life Expectancy at BirthPRY 1960 [5] 2000
Global Extreme Poverty (CBN)PRY 1820 [199] 2018
Global Extreme Poverty (DAD)PRY 1820 [199] 2018
Global HungerPRY 1820 [199] 2018
Infant MortalityPRY 1970 [3] 2000
Life Expectancy at Birth (Total)PRY 1900 [66] 2009
Male life Expectancy at BirthPRY 1960 [5] 2000
Total PopulationPRY 1500 [23] 2000
Total Urban PopulationPRY 1500 [11] 2000
Urbanization RatioPRY 1500 [11] 2000
EnvironmentBiodiversity - naturalnessPRY 1500 [34] 2010
CO2 Emissions per CapitaPRY 1950 [7] 2010
SO2 Emissions per CapitaPRY 1850 [16] 2000
Total CO2 EmissionsPRY 1950 [59] 2008
Total SO2 EmissionsPRY 1850 [16] 2000
FinanceExchange Rates to UK PoundPRY 1952 [62] 2013
Exchange Rates to US DollarPRY 1952 [62] 2013
Gold StandardPRY 1800 [211] 2010
Long-Term Government
Bond Yield
Total Gross Central Government
Debt as a Percentage of GDPPRY 1927 [61] 2009
Gender Equality of NumeracyPRY 1880 [6] 1930
Gender Equality Years
of Education
Historical Gender Equality IndexPRY 1950 [54] 2003
Human CapitalAverage Years of EducationPRY 1870 [15] 2010
Educational Inequality Gini
CoefficientPRY 1890 [121] 2010
Numeracy (Total)PRY 1880 [6] 1930
InstitutionsArmed Conflicts (Internal)PRY 1500 [501] 2000
Armed Conflicts (International)PRY 1500 [501] 2000
Competitiveness of Executive
Recruitment (XRCOMP)PRY 1811 [202] 2012
Competitiveness of Participations
(PARCOMP)PRY 1811 [202] 2012
Executive Constraints
(XCONST)PRY 1811 [202] 2012
Homicide RatesPRY 1961 [36] 2010
Latent Democracy VariablePRY 1850 [150] 2000
Openness of Executive
Recruitment (XROPEN)PRY 1811 [202] 2012
Political CompetitionPRY 1811 [190] 2000
Political ParticipationPRY 1811 [190] 2000
Polity2 IndexPRY 1811 [202] 2012
Regulation of Chief Executive
Recruitment (XRREG)PRY 1811 [202] 2012
Number of Days Lost in
Labour DisputesPRY 1961 [11] 1971
Number of Labour DisputesPRY 1961 [15] 2012
Number of Workers Involved
in Labour DisputesPRY 1961 [13] 2010
Working week
in manufacturingPRY 1983 [22] 2008
GDP per CapitaPRY 1939 [78] 2016
Prices and WagesLabourers Real WagePRY 1946 [11] 1982
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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