Evolution of GDP per Capita , 1600-2016
Evolution of Total Population, 1500-2000
Evolution of Life Expectancy at Birth (Total), 1865-2011
Evolution of Global Extreme Poverty Cost of Basic Needs, 1820-2018
Evolution of Height, 1880-1980
Evolution of Income Inequality, 1820-2000
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 49 | Executive Constraints (XCONST) |
Inflation | Total Population | Cropland per Capita |
1870-1919 67 | Gold Production | Total CO2 Emissions | Wealth Yearly Ginis Wealth Top10 percent share Wealth Decadal Ginis Executive Constraints (XCONST) Regulation of Chief Executive Recruitment (XRREG) |
Cropland per Capita |
1920-1959 77 | Polyarchy | Composite Measure of Wellbeing |
Wealth Yearly Ginis Wealth Top10 percent share Wealth Decadal Ginis |
Cropland per Capita |
1960-2010 80 | Share of Women in Parliament |
Total Gross Central Government Debt as a Percentage of GDP |
Wealth Yearly Ginis Wealth Top10 percent share Wealth Decadal Ginis Gender-equal Inheritance 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) |
Total CO2 Emissions |
Overall 84 | Total Cattle | Goats per Capita | Total Num. of Pigs | Cropland per Capita |
Evolution of Wealth Yearly Ginis, 1870-2010
Evolution of Social Spending, 1820-2016
Evolution of Global Hunger, 1820-2018
Evolution of Working week in manufacturing, 1927-2008
Click on the JPN badge next to an indicator below to download the corresponding indicator only for Japan. The badge is only shown when data for Japan are available. You can also download all available indicators for Japan by clicking here
Clicking on the indicator's title takes you to the indicator's page as usual.
Cattle per CapitaJPN 1500 [24] 2010
Cropland per CapitaJPN 1500 [34] 2010
Goats per CapitaJPN 1500 [43] 2010
Pasture per CapitaJPN 1500 [33] 2000
Pigs per CapitaJPN 1500 [43] 2010
Sheep per CapitaJPN 1500 [43] 2010
Total CattleJPN 1500 [24] 2010
Total CroplandJPN 1500 [34] 2010
Total Number of GoatsJPN 1500 [43] 2010
Total Number of PigsJPN 1500 [43] 2010
Total Number of SheepJPN 1500 [43] 2010
Total PastureJPN 1500 [33] 2000
DemographyComposite Measure
of WellbeingJPN 1820 [19] 2000
Female life Expectancy at BirthJPN 1940 [7] 2000
Global Extreme Poverty (CBN)JPN 1820 [199] 2018
Global Extreme Poverty (DAD)JPN 1820 [199] 2018
Global HungerJPN 1820 [199] 2018
Infant MortalityJPN 1930 [6] 1980
Life Expectancy at Birth (Total)JPN 1865 [81] 2011
Male life Expectancy at BirthJPN 1940 [7] 2000
Total PopulationJPN 1500 [25] 2000
Total Urban PopulationJPN 1500 [11] 2000
Urbanization RatioJPN 1500 [10] 2000
EnvironmentBiodiversity - naturalnessJPN 1500 [34] 2010
CO2 Emissions per CapitaJPN 1870 [15] 2010
SO2 Emissions per CapitaJPN 1850 [16] 2000
Total CO2 EmissionsJPN 1868 [141] 2008
Total SO2 EmissionsJPN 1850 [16] 2000
FinanceExchange Rates to UK PoundJPN 1862 [141] 2013
Exchange Rates to US DollarJPN 1869 [133] 2013
Gold StandardJPN 1800 [211] 2010
Long-Term Government
Bond YieldJPN 1989 [23] 2011
Total Gross Central Government
Debt as a Percentage of GDPJPN 1872 [125] 2009
Gender Equality of NumeracyJPN 1860 [10] 1960
Gender Equality Years
of EducationJPN 1950 [6] 2000
Gender-equal InheritanceJPN 1920 [4] 2000
Historical Gender Equality IndexJPN 1950 [54] 2003
Share of Women in ParliamentJPN 1960 [51] 2010
Human CapitalAverage Years of EducationJPN 1870 [15] 2010
Book Titles per CapitaJPN 1597 [164] 1996
Educational Inequality Gini
CoefficientJPN 1895 [116] 2010
Numeracy (Total)JPN 1590 [14] 1960
Universities FoundedJPN 1875 [30] 2005
InstitutionsArmed Conflicts (Internal)JPN 1500 [501] 2000
Armed Conflicts (International)JPN 1500 [501] 2000
Competitiveness of Executive
Recruitment (XRCOMP)JPN 1800 [213] 2012
Competitiveness of Participations
(PARCOMP)JPN 1800 [213] 2012
Executive Constraints
(XCONST)JPN 1800 [213] 2012
Homicide RatesJPN 1890 [117] 2009
Latent Democracy VariableJPN 1850 [132] 1998
Openness of Executive
Recruitment (XROPEN)JPN 1800 [213] 2012
Political CompetitionJPN 1810 [189] 1998
Political ParticipationJPN 1810 [189] 1998
Polity2 IndexJPN 1800 [206] 2012
Regulation of Chief Executive
Recruitment (XRREG)JPN 1800 [213] 2012
Number of Days Lost in
Labour DisputesJPN 1927 [81] 2012
Number of Labour DisputesJPN 1927 [81] 2012
Number of Workers Involved
in Labour DisputesJPN 1927 [81] 2012
Working week
in manufacturingJPN 1927 [75] 2008
GDP per CapitaJPN 1600 [143] 2016
Social SpendingJPN 1820 [21] 2016
Prices and WagesIncome InequalityJPN 1820 [12] 2000
Labourers Real WageJPN 1820 [155] 2000
Wealth Decadal GinisJPN 1870 [15] 2010
Wealth Top10 percent shareJPN 1870 [15] 2010
Wealth Yearly GinisJPN 1870 [14] 2010
ProductionAluminium ProductionJPN 1850 [163] 2012
Copper ProductionJPN 1729 [284] 2012
Gold ProductionJPN 1681 [332] 2012
Iron Ore ProductionJPN 1820 [193] 2012
Lead ProductionJPN 1705 [223] 2012
Manganese ProductionJPN 1835 [178] 2012
Silver ProductionJPN 1681 [332] 2012
Tin ProductionJPN 1700 [313] 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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