Evolution of GDP per Capita , 1820-2016
Evolution of Total Population, 1500-2000
Evolution of Life Expectancy at Birth (Total), 1926-2009
Evolution of Global Extreme Poverty Cost of Basic Needs, 1820-2018
Evolution of Height, 1850-2000
Evolution of Global Hunger, 1820-2018
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 36 | Composite Measure of Wellbeing |
Sheep per Capita | Total Cattle | Composite Measure of Wellbeing |
1870-1919 39 | Inflation | Total SO2 Emissions | Inflation | Pasture per Capita |
1920-1959 59 | Zinc Production | Global Hunger | Tungsten Production | Pasture per Capita |
1960-2010 65 | Copper Production | Composite Measure of Wellbeing |
SO2 Emissions per Capita |
Unified Democracy Scores (UDS) |
Overall 71 | Total Num. of Pigs | Sheep per Capita | Total Cattle | Pasture per Capita |
Evolution of Inflation, 1872-2010
Evolution of Average Years of Education, 1870-2010
Evolution of Global Extreme Poverty Dollar a Day, 1820-2018
Evolution of Educational Inequality Gini Coefficient, 1875-2010
Evolution of Total Urban Population, 1500-2000
Click on the MMR badge next to an indicator below to download the corresponding indicator only for Myanmar. The badge is only shown when data for Myanmar are available. You can also download all available indicators for Myanmar by clicking here
Clicking on the indicator's title takes you to the indicator's page as usual.
Cattle per CapitaMMR 1500 [43] 2010
Cropland per CapitaMMR 1500 [34] 2010
Goats per CapitaMMR 1500 [43] 2010
Pasture per CapitaMMR 1500 [34] 2010
Pigs per CapitaMMR 1500 [43] 2010
Sheep per CapitaMMR 1500 [43] 2010
Total CattleMMR 1500 [43] 2010
Total CroplandMMR 1500 [34] 2010
Total Number of GoatsMMR 1500 [43] 2010
Total Number of PigsMMR 1500 [43] 2010
Total Number of SheepMMR 1500 [43] 2010
Total PastureMMR 1500 [34] 2010
DemographyComposite Measure
of WellbeingMMR 1820 [19] 2000
Female life Expectancy at BirthMMR 1960 [5] 2000
Global Extreme Poverty (CBN)MMR 1820 [199] 2018
Global Extreme Poverty (DAD)MMR 1820 [199] 2018
Global HungerMMR 1820 [199] 2018
Infant MortalityMMR 1930 [2] 1990
Life Expectancy at Birth (Total)MMR 1926 [61] 2009
Male life Expectancy at BirthMMR 1960 [5] 2000
Total PopulationMMR 1500 [20] 2000
Total Urban PopulationMMR 1500 [11] 2000
Urbanization RatioMMR 1500 [8] 2000
EnvironmentBiodiversity - naturalnessMMR 1500 [34] 2010
CO2 Emissions per CapitaMMR 1930 [9] 2010
SO2 Emissions per CapitaMMR 1850 [16] 2000
Total CO2 EmissionsMMR 1928 [81] 2008
Total SO2 EmissionsMMR 1850 [16] 2000
FinanceExchange Rates to UK PoundMMR 1952 [62] 2013
Exchange Rates to US DollarMMR 1952 [62] 2013
Gold StandardMMR 1800 [211] 2010
Long-Term Government
Bond Yield
Total Gross Central Government
Debt as a Percentage of GDPMMR 2000 [11] 2010
Gender Equality of NumeracyMMR 1840 [4] 1870
Gender Equality Years
of Education
Historical Gender Equality IndexMMR 1950 [54] 2003
Human CapitalAverage Years of EducationMMR 1870 [15] 2010
Educational Inequality Gini
CoefficientMMR 1875 [136] 2010
Numeracy (Total)MMR 1840 [4] 1870
InstitutionsArmed Conflicts (Internal)MMR 1500 [501] 2000
Armed Conflicts (International)MMR 1500 [501] 2000
Competitiveness of Executive
Recruitment (XRCOMP)MMR 1948 [65] 2012
Competitiveness of Participations
(PARCOMP)MMR 1948 [65] 2012
Executive Constraints
(XCONST)MMR 1948 [65] 2012
Homicide RatesMMR 2000 [8] 2007
Latent Democracy VariableMMR 1948 [53] 2000
Openness of Executive
Recruitment (XROPEN)MMR 1948 [65] 2012
Political CompetitionMMR 1947 [54] 2000
Political ParticipationMMR 1947 [54] 2000
Polity2 IndexMMR 1948 [65] 2012
Regulation of Chief Executive
Recruitment (XRREG)MMR 1948 [65] 2012
Number of Days Lost in
Labour DisputesMMR 1948 [39] 2008
Number of Labour DisputesMMR 1948 [39] 2008
Number of Workers Involved
in Labour DisputesMMR 1948 [39] 2008
Working week
in manufacturingMMR 1951 [51] 2008
GDP per CapitaMMR 1820 [79] 2016
Prices and WagesIncome InequalityMMR 1850 [6] 1970
Labourers Real WageMMR 1950 [21] 2004
ProductionCopper ProductionMMR 1730 [283] 2012
Gold ProductionMMR 1681 [332] 2012
Lead ProductionMMR 1705 [223] 2012
Manganese ProductionMMR 1835 [178] 2012
Nickel ProductionMMR 1850 [163] 2012
Silver ProductionMMR 1681 [332] 2012
Tin ProductionMMR 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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