Abstract
Author(s)
Production date
Variable(s)
Keywords
Time period
Geographical coverage
Methodologies used for data collection and processing
Period of collection
Data collectors
Data quality
General references
The data were derived by combining two main datasets. First, Morrisson and Murtin (2009) supply information of around 78 countries for 10-year intervals. Second,Van Leeuwen, Van Leeuwen-Li and Foldvari, has been published in a range of papers spread over the past years (e.g. Van Leeuwen and Foldvari, 2008a; Foldvari et al., forthcoming) and has been made available in a comprehensive format by Clio-Infra in 2012. The last two datasets, from Van Leeuwen et al. and Morrisson and Murtin, have been shown to be the ones with the widest coverage, the longest time span and the highest reliability (e.g. Foldvari et al., forthcoming). The methodology for the two is also roughly comparable, making it possible to combine the two sets of estimates into a single comprehensive dataset on educational development.
The main sources, with the exception of some country-specific studies, are:
* Mitchell, B.R. (2007), International Historical Statistics: Africa, Asia & Oceania, 1750-2005, Basingstroke [etc.]: Palgrave Macmillan (5th edition).
* Mitchell, B.R. (2007), International Historical Statistics: The Americas, 1750-2005, Basingstroke [etc.]: Palgrave Macmillan (5th edition).
* Mitchell, B.R. (2007), International Historical Statistics: Europe, 1750-2005, Basingstroke [etc.]: Palgrave Macmillan (5th edition).
* US Department of Commerce, US Census Bureau, International database, downloaded from: http://www.census.gov/population/international/data/idb/informationGateway.php
* Unesco, Statistical yearbook, Paris: Unesco, 1964-1999, 1963-1999
* Blue books of the British colonies (various issues)
Some of the data are also taken from papers:
* Morrisson, Ch, and F. Murtin (2009), "The Century of Education," Journal of Human Capital, Vol. 3/1, pp. 1-42.
* Földvári, P., and B. Van Leeuwen, (2009), "Average years of education in Hungary: annual estimates 1920-2006," Eastern European Economics, Vol. 47/2, pp. 5-20.
* Földvári, P., B. Van Leeuwen, and J. Van Leeuwen-Li (forthcoming), "Educational and income inequality in Europe, 1870-2000," Cliometrica, Forthcoming.
* Leeuwen, Bas van, Jieli van Leeuwen-Li, and Péter Földvári, 'Regional human capital in Republican and New China: Its spread, quality and effects on economic growth,' 26 July 2011.
* Leeuwen, Bas van, Jieli van Leeuwen-Li, and Péter Földvári, 'Was education a driver of economic development in Africa? Inequality and income in the twentieth century,' 23 April 2012.
* Dmitry Didenko, Péter Földvári and Bas van Leeuwen, 'The spread of human capital in the former Soviet Union area in a comparative perspective: Exploring a new dataset,' Journal of Eurasian studies, Vol. 4 (2) 2013, pp. 123-135.
Cattle per Capita 1500 [7456] 2010
Cropland per Capita 1500 [6226] 2010
Goats per Capita 1500 [7037] 2010
Pasture per Capita 1500 [5963] 2010
Pigs per Capita 1500 [6841] 2010
Sheep per Capita 1500 [6835] 2010
Total Cropland 1500 [6191] 2010
Total Number of Goats 1500 [7037] 2010
Total Number of Pigs 1500 [6841] 2010
Total Number of Sheep 1500 [6835] 2010
Total Pasture 1500 [5928] 2010
DemographyComposite Measure
of Wellbeing 1820 [3667] 2000
Female life Expectancy at Birth 1750 [1058] 2000
Global Extreme Poverty (CBN) 1820 [26069] 2018
Global Extreme Poverty (DAD) 1820 [26069] 2018
Global Hunger 1820 [27263] 2018
Infant Mortality 1810 [641] 2000
Life Expectancy at Birth (Total) 1543 [12863] 2012
Male life Expectancy at Birth 1750 [1058] 2000
Total Population 1500 [3221] 2000
Total Urban Population 1500 [1722] 2000
Urbanization Ratio 1500 [1051] 2000
EnvironmentBiodiversity - naturalness 1500 [6120] 2010
CO2 Emissions per Capita 1750 [1724] 2010
SO2 Emissions per Capita 1850 [2079] 2000
Total CO2 Emissions 1750 [16446] 2008
Total SO2 Emissions 1850 [2079] 2000
FinanceExchange Rates to UK Pound 1500 [15572] 2013
Exchange Rates to US Dollar 1500 [11765] 2013
Gold Standard 1800 [14359] 2010
Long-Term Government
Bond Yield 1727 [2849] 2011
Total Gross Central Government
Debt as a Percentage of GDP 1692 [7134] 2010
Gender Equality of Numeracy 1810 [1064] 1960
Gender Equality Years
of Education 1950 [140] 2000
Gender-equal Inheritance 1920 [78] 2000
Historical Gender Equality Index 1950 [6222] 2003
Share of Women in Parliament 1960 [1589] 2010
Human CapitalAverage Years of Education 1820 [1677] 2010
Book Titles per Capita 1500 [8191] 2009
Educational Inequality Gini
Coefficient 1850 [12631] 2010
Numeracy (Total) 1500 [1384] 1970
Universities Founded 1502 [1424] 2013
InstitutionsArmed Conflicts (Internal) 1500 [95198] 2000
Armed Conflicts (International) 1500 [95198] 2000
Competitiveness of Executive
Recruitment (XRCOMP) 1800 [14792] 2012
Competitiveness of Participations
(PARCOMP) 1800 [14792] 2012
Executive Constraints
(XCONST) 1800 [14792] 2012
Homicide Rates 1800 [6618] 2010
Latent Democracy Variable 1850 [7842] 2000
Openness of Executive
Recruitment (XROPEN) 1800 [14792] 2012
Political Competition 1810 [12762] 2000
Political Participation 1810 [12883] 2000
Polity2 Index 1800 [14593] 2012
Regulation of Chief Executive
Recruitment (XRREG) 1800 [14792] 2012
Number of Days Lost in
Labour Disputes 1927 [4531] 2013
Number of Labour Disputes 1927 [4808] 2013
Number of Workers Involved
in Labour Disputes 1927 [4651] 2013
Working week
in manufacturing 1800 [3974] 2008
GDP per Capita 1500 [17675] 2016
Social Spending 1820 [290] 2016
Prices and WagesIncome Inequality 1820 [866] 2000
Labourers Real Wage 1820 [5053] 2008
Wealth Decadal Ginis 1820 [225] 2010
Wealth Top10 percent share 1820 [225] 2010
Wealth Yearly Ginis 1820 [749] 2015
ProductionAluminium Production 1850 [11736] 2012
Bauxite Production 1880 [6384] 2012
Copper Production 1700 [19472] 2012
Gold Production 1681 [35855] 2012
Iron Ore Production 1820 [12738] 2012
Lead Production 1705 [12934] 2012
Manganese Production 1835 [8722] 2012
Nickel Production 1850 [5214] 2012
Silver Production 1681 [26892] 2012
Tin Production 1700 [13772] 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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