Evolution of GDP per Capita , 1820-2016
Evolution of Total Population, 1500-2000
Evolution of Global Extreme Poverty Cost of Basic Needs, 1820-2018
Evolution of Global Hunger, 1820-2018
Evolution of Global Extreme Poverty Dollar a Day, 1820-2018
Evolution of Total Urban Population, 1500-2000
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 33 | Composite Measure of Wellbeing |
Regulation of Chief Executive Recruitment (XRREG) |
Competitiveness of Participations (PARCOMP) |
Biodiversity - naturalness |
1870-1919 37 | GDP per Capita | Latent Democracy Variable | Competitiveness of Participations (PARCOMP) |
Biodiversity - naturalness |
1920-1959 43 | Executive Constraints (XCONST) |
Polity2 Index | SO2 Emissions per Capita |
Composite Measure of Wellbeing |
1960-2010 52 | Average Years of Education |
Total CO2 Emissions | CO2 Emissions per Capita |
Composite Measure of Wellbeing |
Overall 56 | Total Num. of Pigs | Sheep per Capita | Total Num. of Goats | Pasture per Capita |
Evolution of Political Competition, 1810-2000
Evolution of Latent Democracy Variable, 1850-2000
Evolution of Competitiveness of Participations (PARCOMP), 1800-2012
Evolution of Regulation of Participation (PARREG), 1800-2012
Evolution of Political Participation, 1810-2000
Click on the NPL badge next to an indicator below to download the corresponding indicator only for Nepal. The badge is only shown when data for Nepal are available. You can also download all available indicators for Nepal by clicking here
Clicking on the indicator's title takes you to the indicator's page as usual.
Cattle per CapitaNPL 1500 [43] 2010
Cropland per CapitaNPL 1500 [34] 2010
Goats per CapitaNPL 1500 [43] 2010
Pasture per CapitaNPL 1500 [34] 2010
Pigs per CapitaNPL 1500 [43] 2010
Sheep per CapitaNPL 1500 [43] 2010
Total CattleNPL 1500 [43] 2010
Total CroplandNPL 1500 [34] 2010
Total Number of GoatsNPL 1500 [43] 2010
Total Number of PigsNPL 1500 [43] 2010
Total Number of SheepNPL 1500 [43] 2010
Total PastureNPL 1500 [34] 2010
DemographyComposite Measure
of WellbeingNPL 1820 [19] 2000
Female life Expectancy at BirthNPL 1960 [5] 2000
Global Extreme Poverty (CBN)NPL 1820 [199] 2018
Global Extreme Poverty (DAD)NPL 1820 [199] 2018
Global HungerNPL 1820 [199] 2018
Life Expectancy at Birth (Total)NPL 1950 [60] 2009
Male life Expectancy at BirthNPL 1960 [5] 2000
Total PopulationNPL 1500 [19] 2000
Total Urban PopulationNPL 1500 [11] 2000
Urbanization RatioNPL 1500 [9] 2000
EnvironmentBiodiversity - naturalnessNPL 1500 [34] 2010
CO2 Emissions per CapitaNPL 1950 [7] 2010
SO2 Emissions per CapitaNPL 1850 [16] 2000
Total CO2 EmissionsNPL 1950 [59] 2008
Total SO2 EmissionsNPL 1850 [16] 2000
FinanceExchange Rates to UK PoundNPL 1952 [62] 2013
Exchange Rates to US DollarNPL 1952 [62] 2013
Gender Equality of NumeracyNPL 1900 [6] 1950
Gender Equality Years
of Education
Historical Gender Equality IndexNPL 1950 [54] 2003
Human CapitalAverage Years of EducationNPL 1960 [6] 2010
Educational Inequality Gini
CoefficientNPL 1960 [51] 2010
Numeracy (Total)NPL 1900 [6] 1950
InstitutionsArmed Conflicts (Internal)NPL 1500 [501] 2000
Armed Conflicts (International)NPL 1500 [501] 2000
Competitiveness of Executive
Recruitment (XRCOMP)NPL 1800 [213] 2012
Competitiveness of Participations
(PARCOMP)NPL 1800 [213] 2012
Executive Constraints
(XCONST)NPL 1800 [213] 2012
Homicide RatesNPL 1997 [13] 2009
Latent Democracy VariableNPL 1850 [149] 2000
Openness of Executive
Recruitment (XROPEN)NPL 1800 [213] 2012
Political CompetitionNPL 1810 [191] 2000
Political ParticipationNPL 1810 [191] 2000
Polity2 IndexNPL 1800 [213] 2012
Regulation of Chief Executive
Recruitment (XRREG)NPL 1800 [213] 2012
Number of Days Lost in
Labour DisputesNPL 1996 [7] 2002
Number of Labour DisputesNPL 1984 [15] 2002
Number of Workers Involved
in Labour Disputes
GDP per CapitaNPL 1820 [70] 2016
Prices and WagesIncome InequalityNPL 1929 [3] 2000
Labourers Real WageNPL 1975 [4] 1981
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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