Evolution of Global Extreme Poverty Cost of Basic Needs , 1820-2018
Evolution of Global Hunger, 1820-2018
Evolution of Numeracy (Total), 1810-1960
Evolution of Global Extreme Poverty Dollar a Day, 1820-2018
Evolution of Cattle per Capita, 1500-2010
Evolution of Cropland per Capita, 1500-2010
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 26 | Total Num. of Pigs | Total CO2 Emissions | Lead Production | Goats per Capita |
1870-1919 28 | Lead Production | Total CO2 Emissions | Global Hunger | Goats per Capita |
1920-1959 33 | Lead Production | Total SO2 Emissions | Height | Goats per Capita |
1960-2010 53 | GDP per Capita | Total CO2 Emissions | Global Hunger | CO2 Emissions per Capita |
Overall 59 | Total Num. of Goats | Pasture per Capita | Cattle per Capita Pigs per Capita |
Goats per Capita |
Evolution of Goats per Capita, 1500-2010
Evolution of Biodiversity - naturalness, 1500-2010
Evolution of Aluminium Production, 1850-2012
Evolution of Bauxite Production, 1880-2012
Evolution of Lead Production, 1705-2012
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Cattle per CapitaSVN 1500 [43] 2010
Cropland per CapitaSVN 1500 [34] 2010
Goats per CapitaSVN 1500 [43] 2010
Pasture per CapitaSVN 1500 [34] 2010
Pigs per CapitaSVN 1500 [43] 2010
Sheep per CapitaSVN 1500 [43] 2010
Total CattleSVN 1500 [43] 2010
Total CroplandSVN 1500 [34] 2010
Total Number of GoatsSVN 1500 [43] 2010
Total Number of PigsSVN 1500 [43] 2010
Total Number of SheepSVN 1500 [43] 2010
Total PastureSVN 1500 [34] 2010
DemographyComposite Measure
of WellbeingSVN 1820 [19] 2000
Female life Expectancy at BirthSVN 1960 [5] 2000
Global Extreme Poverty (CBN)SVN 1820 [199] 2018
Global Extreme Poverty (DAD)SVN 1820 [199] 2018
Global HungerSVN 1820 [199] 2018
Infant MortalitySVN 1880 [3] 1960
Life Expectancy at Birth (Total)SVN 1950 [62] 2011
Male life Expectancy at BirthSVN 1960 [5] 2000
Total PopulationSVN 1800 [8] 2000
EnvironmentBiodiversity - naturalnessSVN 1500 [34] 2010
CO2 Emissions per CapitaSVN 1890 [12] 2010
SO2 Emissions per CapitaSVN 1850 [16] 2000
Total CO2 EmissionsSVN 1830 [179] 2008
Total SO2 EmissionsSVN 1850 [16] 2000
FinanceExchange Rates to UK PoundSVN 1991 [23] 2013
Exchange Rates to US DollarSVN 1991 [23] 2013
Gender Equality of NumeracySVN 1810 [9] 1960
Gender Equality Years
of Education
Historical Gender Equality IndexSVN 1991 [13] 2003
Share of Women in ParliamentSVN 1992 [19] 2010
Human CapitalBook Titles per CapitaSVN 1990 [6] 1996
Educational Inequality Gini
Coefficient
Numeracy (Total)SVN 1810 [11] 1960
Universities FoundedSVN 1810 [3] 1975
InstitutionsArmed Conflicts (Internal)SVN 1500 [501] 2000
Armed Conflicts (International)SVN 1500 [501] 2000
Competitiveness of Executive
Recruitment (XRCOMP)SVN 1991 [22] 2012
Competitiveness of Participations
(PARCOMP)SVN 1991 [22] 2012
Executive Constraints
(XCONST)SVN 1991 [22] 2012
Homicide RatesSVN 1971 [27] 2010
Latent Democracy VariableSVN 1991 [10] 2000
Openness of Executive
Recruitment (XROPEN)SVN 1991 [22] 2012
Political CompetitionSVN 1991 [10] 2000
Political ParticipationSVN 1991 [10] 2000
Polity2 IndexSVN 1991 [22] 2012
Regulation of Chief Executive
Recruitment (XRREG)SVN 1991 [22] 2012
Number of Days Lost in
Labour Disputes
Number of Workers Involved
in Labour Disputes
Working week
in manufacturingSVN 1981 [21] 2008
GDP per CapitaSVN 1952 [65] 2016
Prices and WagesIncome InequalitySVN 1850 [8] 2000
ProductionAluminium ProductionSVN 1850 [163] 2012
Bauxite ProductionSVN 1880 [133] 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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