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 Average Years of Education, 1870-2010
Evolution of Global Extreme Poverty Dollar a Day, 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 20 | Total Cropland | Sheep per Capita | Cropland per Capita | Biodiversity - naturalness |
1870-1919 27 | Average Years of Education |
Composite Measure of Wellbeing |
Cropland per Capita | Biodiversity - naturalness |
1920-1959 44 | Average Years of Education |
Total SO2 Emissions | Cropland per Capita | Cattle per Capita |
1960-2010 52 | Composite Measure of Wellbeing |
Total CO2 Emissions | Cropland per Capita | Unified Democracy Scores (UDS) |
Overall 58 | Total Cattle | Sheep per Capita | Cropland per Capita | Biodiversity - naturalness |
Evolution of Total Urban Population, 1500-2000
Evolution of Cattle per Capita, 1500-2010
Evolution of Cropland per Capita, 1500-2010
Evolution of Goats per Capita, 1500-2010
Evolution of Biodiversity - naturalness, 1500-2010
Click on the SYR badge next to an indicator below to download the corresponding indicator only for Syria. The badge is only shown when data for Syria are available. You can also download all available indicators for Syria by clicking here
Clicking on the indicator's title takes you to the indicator's page as usual.
Cattle per CapitaSYR 1500 [43] 2010
Cropland per CapitaSYR 1500 [34] 2010
Goats per CapitaSYR 1500 [43] 2010
Pasture per CapitaSYR 1500 [34] 2010
Pigs per CapitaSYR 1970 [3] 1990
Sheep per CapitaSYR 1500 [43] 2010
Total CattleSYR 1500 [43] 2010
Total CroplandSYR 1500 [34] 2010
Total Number of GoatsSYR 1500 [43] 2010
Total Number of PigsSYR 1970 [3] 1990
Total Number of SheepSYR 1500 [43] 2010
Total PastureSYR 1500 [34] 2010
DemographyComposite Measure
of WellbeingSYR 1820 [19] 2000
Female life Expectancy at BirthSYR 1960 [5] 2000
Global Extreme Poverty (CBN)SYR 1820 [199] 2018
Global Extreme Poverty (DAD)SYR 1820 [199] 2018
Global HungerSYR 1820 [199] 2018
Infant MortalitySYR 1990 [2] 2000
Life Expectancy at Birth (Total)SYR 1950 [60] 2009
Male life Expectancy at BirthSYR 1960 [5] 2000
Total PopulationSYR 1500 [14] 2000
Total Urban PopulationSYR 1500 [11] 2000
Urbanization RatioSYR 1500 [7] 2000
EnvironmentBiodiversity - naturalnessSYR 1500 [34] 2010
CO2 Emissions per CapitaSYR 1940 [8] 2010
SO2 Emissions per CapitaSYR 1850 [16] 2000
Total CO2 EmissionsSYR 1931 [78] 2008
Total SO2 EmissionsSYR 1850 [16] 2000
FinanceExchange Rates to UK PoundSYR 1952 [62] 2013
Exchange Rates to US DollarSYR 1952 [62] 2013
Gender Equality of NumeracySYR 1890 [6] 1940
Gender Equality Years
of Education
Historical Gender Equality IndexSYR 1950 [54] 2003
Human CapitalAverage Years of EducationSYR 1870 [15] 2010
Educational Inequality Gini
CoefficientSYR 1935 [76] 2010
Numeracy (Total)SYR 1890 [6] 1940
Universities FoundedSYR 1923 [12] 2009
InstitutionsArmed Conflicts (Internal)SYR 1500 [501] 2000
Armed Conflicts (International)SYR 1500 [501] 2000
Competitiveness of Executive
Recruitment (XRCOMP)SYR 1944 [69] 2012
Competitiveness of Participations
(PARCOMP)SYR 1944 [69] 2012
Executive Constraints
(XCONST)SYR 1944 [69] 2012
Homicide RatesSYR 1980 [16] 2010
Openness of Executive
Recruitment (XROPEN)SYR 1944 [69] 2012
Political CompetitionSYR 1946 [52] 1997
Political ParticipationSYR 1946 [52] 1997
Polity2 IndexSYR 1944 [66] 2012
Regulation of Chief Executive
Recruitment (XRREG)SYR 1944 [69] 2012
Number of Days Lost in
Labour Disputes
Number of Labour DisputesSYR 1970 [14] 1984
Number of Workers Involved
in Labour Disputes
Working week
in manufacturingSYR 1967 [11] 1977
GDP per CapitaSYR 1820 [70] 2016
Prices and WagesIncome InequalitySYR 1870 [3] 1910
Labourers Real WageSYR 1951 [22] 1995
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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