Evolution of Total Population , 1600-2000
Evolution of Life Expectancy at Birth (Total), 1876-2009
Evolution of Global Extreme Poverty Cost of Basic Needs, 1820-2018
Evolution of Global Hunger, 1820-2018
Evolution of Average Years of Education, 1870-2010
Evolution of Labourers Real Wage, 1837-1998
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 22 | Composite Measure of Wellbeing |
Global Hunger | Total Cattle Total Num. of Goats |
Biodiversity - naturalness |
1870-1919 29 | Average Years of Education |
Sheep per Capita | Total Num. of Goats | Composite Measure of Wellbeing |
1920-1959 27 | Average Years of Education |
Composite Measure of Wellbeing |
SO2 Emissions per Capita |
Biodiversity - naturalness |
1960-2010 55 | Total Num. of Goats | Total SO2 Emissions | SO2 Emissions per Capita |
Biodiversity - naturalness |
Overall 59 | Total Num. of Goats | Sheep per Capita | Total Num. of Goats | Biodiversity - naturalness |
Evolution of Global Extreme Poverty Dollar a Day, 1820-2018
Evolution of Educational Inequality Gini Coefficient, 1895-2010
Evolution of Gender Equality of Numeracy, 1830-1940
Evolution of Total Urban Population, 1500-2000
Evolution of Cattle per Capita, 1500-2010
Click on the BGD badge next to an indicator below to download the corresponding indicator only for Bangladesh. The badge is only shown when data for Bangladesh are available. You can also download all available indicators for Bangladesh by clicking here
Clicking on the indicator's title takes you to the indicator's page as usual.
Cattle per CapitaBGD 1500 [43] 2010
Cropland per CapitaBGD 1500 [34] 2010
Goats per CapitaBGD 1500 [43] 2010
Pasture per CapitaBGD 1500 [34] 2010
Sheep per CapitaBGD 1500 [43] 2010
Total CattleBGD 1500 [43] 2010
Total CroplandBGD 1500 [34] 2010
Total Number of GoatsBGD 1500 [43] 2010
Total Number of SheepBGD 1500 [43] 2010
Total PastureBGD 1500 [34] 2010
DemographyComposite Measure
of WellbeingBGD 1820 [19] 2000
Female life Expectancy at BirthBGD 1960 [5] 2000
Global Extreme Poverty (CBN)BGD 1820 [199] 2018
Global Extreme Poverty (DAD)BGD 1820 [199] 2018
Global HungerBGD 1820 [199] 2018
Infant MortalityBGD 1990 [2] 2000
Life Expectancy at Birth (Total)BGD 1876 [65] 2009
Male life Expectancy at BirthBGD 1960 [5] 2000
Total PopulationBGD 1600 [13] 2000
Total Urban PopulationBGD 1500 [11] 2000
Urbanization RatioBGD 1600 [4] 2000
EnvironmentBiodiversity - naturalnessBGD 1500 [34] 2010
CO2 Emissions per CapitaBGD 1980 [4] 2010
SO2 Emissions per CapitaBGD 1850 [16] 2000
Total CO2 EmissionsBGD 1972 [37] 2008
Total SO2 EmissionsBGD 1850 [16] 2000
FinanceExchange Rates to UK PoundBGD 1971 [43] 2013
Exchange Rates to US DollarBGD 1971 [43] 2013
Long-Term Government
Bond Yield
Total Gross Central Government
Debt as a Percentage of GDPBGD 2001 [3] 2003
Gender Equality of NumeracyBGD 1830 [12] 1940
Gender Equality Years
of Education
Historical Gender Equality IndexBGD 1950 [54] 2003
Human CapitalAverage Years of EducationBGD 1870 [15] 2010
Educational Inequality Gini
CoefficientBGD 1895 [116] 2010
Numeracy (Total)BGD 1900 [5] 1940
InstitutionsArmed Conflicts (Internal)BGD 1500 [501] 2000
Armed Conflicts (International)BGD 1500 [501] 2000
Competitiveness of Executive
Recruitment (XRCOMP)BGD 1972 [41] 2012
Competitiveness of Participations
(PARCOMP)BGD 1972 [41] 2012
Executive Constraints
(XCONST)BGD 1972 [41] 2012
Homicide RatesBGD 2004 [7] 2010
Latent Democracy VariableBGD 1972 [29] 2000
Openness of Executive
Recruitment (XROPEN)BGD 1972 [41] 2012
Political CompetitionBGD 1971 [30] 2000
Political ParticipationBGD 1971 [30] 2000
Polity2 IndexBGD 1972 [41] 2012
Regulation of Chief Executive
Recruitment (XRREG)BGD 1972 [41] 2012
Number of Days Lost in
Labour DisputesBGD 1969 [32] 2000
Number of Labour DisputesBGD 1969 [32] 2000
Number of Workers Involved
in Labour DisputesBGD 1969 [32] 2000
Working week
in manufacturingBGD 1980 [6] 1995
GDP per CapitaBGD 1950 [67] 2016
Prices and WagesIncome InequalityBGD 1850 [9] 2000
Labourers Real WageBGD 1837 [67] 1998
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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