Evolution of GDP per Capita , 1500-2016
Evolution of Infant Mortality, 1830-1980
Evolution of Total Population, 1500-2000
Evolution of Life Expectancy at Birth (Total), 1751-2011
Evolution of Global Extreme Poverty Cost of Basic Needs, 1820-2018
Evolution of Height, 1730-1980
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 63 | Social Spending | Gender Equality of Numeracy |
Numeracy (Total) Total Gross Central Government Debt as a Percentage of GDP Regulation of Chief Executive Recruitment (XRREG) |
Pasture per Capita |
1870-1919 68 | Polyarchy | CO2 Emissions per Capita |
Female life Expectancy at Birth Male life Expectancy at Birth |
Pasture per Capita |
1920-1959 75 | Silver Production | Total CO2 Emissions | Competitiveness of Participations (PARCOMP) Regulation of Participation (PARREG) Polity2 Index Executive Constraints (XCONST) Competitiveness of Executive Recruitment (XRCOMP) Openness of Executive Recruitment (XROPEN) Regulation of Chief Executive Recruitment (XRREG) |
Pasture per Capita |
1960-2010 76 | Aluminium Production | Global Hunger | Social Spending Share of Women in Parliament Gender-equal Inheritance Historical Gender Equality Index Competitiveness of Participations (PARCOMP) Regulation of Participation (PARREG) Polity2 Index Executive Constraints (XCONST) Competitiveness of Executive Recruitment (XRCOMP) Openness of Executive Recruitment (XROPEN) Regulation of Chief Executive Recruitment (XRREG) |
CO2 Emissions per Capita |
Overall 81 | Book Titles per Capita | Pasture per Capita | Book Titles per Capita | Pasture per Capita |
Evolution of Income Inequality, 1820-2000
Evolution of Wealth Yearly Ginis, 1820-2012
Evolution of Social Spending, 1820-2016
Evolution of Global Hunger, 1820-2018
Evolution of Working week in manufacturing, 1870-2008
Click on the SWE badge next to an indicator below to download the corresponding indicator only for Sweden. The badge is only shown when data for Sweden are available. You can also download all available indicators for Sweden by clicking here
Clicking on the indicator's title takes you to the indicator's page as usual.
Cattle per CapitaSWE 1500 [43] 2010
Cropland per CapitaSWE 1500 [34] 2010
Pasture per CapitaSWE 1500 [34] 2010
Pigs per CapitaSWE 1500 [43] 2010
Sheep per CapitaSWE 1500 [43] 2010
Total CattleSWE 1500 [43] 2010
Total CroplandSWE 1500 [34] 2010
Total Number of PigsSWE 1500 [43] 2010
Total Number of SheepSWE 1500 [43] 2010
Total PastureSWE 1500 [34] 2010
DemographyComposite Measure
of WellbeingSWE 1820 [19] 2000
Female life Expectancy at BirthSWE 1750 [22] 2000
Global Extreme Poverty (CBN)SWE 1820 [199] 2018
Global Extreme Poverty (DAD)SWE 1820 [199] 2018
Global HungerSWE 1820 [199] 2018
Infant MortalitySWE 1830 [16] 1980
Life Expectancy at Birth (Total)SWE 1751 [261] 2011
Male life Expectancy at BirthSWE 1750 [22] 2000
Total PopulationSWE 1500 [25] 2000
Total Urban PopulationSWE 1500 [11] 2000
Urbanization RatioSWE 1500 [9] 2000
EnvironmentBiodiversity - naturalnessSWE 1500 [34] 2010
CO2 Emissions per CapitaSWE 1840 [18] 2010
SO2 Emissions per CapitaSWE 1850 [16] 2000
Total CO2 EmissionsSWE 1834 [171] 2008
Total SO2 EmissionsSWE 1850 [16] 2000
FinanceExchange Rates to UK PoundSWE 1700 [277] 2013
Exchange Rates to US DollarSWE 1907 [103] 2013
Gold StandardSWE 1800 [211] 2010
Long-Term Government
Bond YieldSWE 1922 [86] 2011
Total Gross Central Government
Debt as a Percentage of GDPSWE 1719 [292] 2010
Gender Equality of NumeracySWE 1810 [12] 1960
Gender Equality Years
of EducationSWE 1950 [6] 2000
Gender-equal InheritanceSWE 1960 [3] 2000
Historical Gender Equality IndexSWE 1950 [54] 2003
Share of Women in ParliamentSWE 1960 [51] 2010
Human CapitalAverage Years of EducationSWE 1870 [15] 2010
Book Titles per CapitaSWE 1500 [510] 2009
Educational Inequality Gini
CoefficientSWE 1870 [141] 2010
Numeracy (Total)SWE 1650 [18] 1960
Universities FoundedSWE 1666 [6] 1973
InstitutionsArmed Conflicts (Internal)SWE 1500 [501] 2000
Armed Conflicts (International)SWE 1500 [501] 2000
Competitiveness of Executive
Recruitment (XRCOMP)SWE 1800 [213] 2012
Competitiveness of Participations
(PARCOMP)SWE 1800 [213] 2012
Executive Constraints
(XCONST)SWE 1800 [213] 2012
Homicide RatesSWE 1800 [206] 2010
Latent Democracy VariableSWE 1850 [141] 2000
Openness of Executive
Recruitment (XROPEN)SWE 1800 [213] 2012
Political CompetitionSWE 1810 [191] 2000
Political ParticipationSWE 1810 [191] 2000
Polity2 IndexSWE 1800 [213] 2012
Regulation of Chief Executive
Recruitment (XRREG)SWE 1800 [213] 2012
Number of Days Lost in
Labour DisputesSWE 1927 [87] 2013
Number of Labour DisputesSWE 1927 [87] 2013
Number of Workers Involved
in Labour DisputesSWE 1927 [87] 2013
Working week
in manufacturingSWE 1870 [96] 2008
GDP per CapitaSWE 1500 [517] 2016
Social SpendingSWE 1820 [21] 2016
Prices and WagesIncome InequalitySWE 1820 [12] 2000
Labourers Real WageSWE 1914 [61] 1986
Wealth Decadal GinisSWE 1820 [20] 2010
Wealth Top10 percent shareSWE 1820 [20] 2010
Wealth TotalSWE 1820 [20] 2010
Wealth Yearly GinisSWE 1820 [44] 2012
ProductionAluminium ProductionSWE 1850 [163] 2012
Copper ProductionSWE 1700 [289] 2012
Gold ProductionSWE 1681 [332] 2012
Iron Ore ProductionSWE 1820 [193] 2012
Lead ProductionSWE 1705 [223] 2012
Manganese ProductionSWE 1835 [178] 2012
Silver ProductionSWE 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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