Abstract

gross household income gini is given for benchmark years for the period 1820-2000

Author(s)

Michalis Moatsos, Jan Luiten van Zanden, Joerg Baten, Peter foldvari, and Bas van Leeuwen

Production date

15-6-2014

Variable(s)

Gross household income gini per country

Keywords

Gini, household income, inequality, world

Time period

1820-2000

Geographical coverage

Entire World

Methodologies used for data collection and processing

Bibliographical research, research of published and Online Databases, and cross-analysis of various datasets

Period of collection

October/2010 and January/2014

Data collectors

Michalis Moatsos, Jan Luiten van Zanden, Joerg Baten, Peter foldvari, and Bas van Leeuwen


i. Central statistical agencies ii. Historical reconstructions iii. Estimates iv. Conjectures Virtually all benchmark data after 1960 are derived indirectly from Central Statistical Agencies and therefore probably better classify as historical reconstructions. The remaining data are estimates and, further back in time, conjectures.

General references

4.1 General references

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4.2 References: sources of anthropometric inequality estimates

(we first reported authors and year; then author with first name; finally title)

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Caribbean

Anguilla[No Data]

Antigua and Barbuda1500 (5)-2013 (21)

Aruba[No Data]

Bahamas1500 (5)-2013 (23)

Barbados1500 (5)-2016 (28)

Bonaire, Sint Eustatius and Saba[No Data]

British Virgin Islands[No Data]

Cayman Islands[No Data]

Cuba1500 (8)-2016 (35)

Curaçao[No Data]

Dominica1500 (5)-2016 (21)

Dominican Republic1500 (6)-2018 (38)

Grenada1500 (5)-2013 (21)

Guadeloupe[No Data]

Haiti1500 (6)-2018 (36)

Jamaica1500 (6)-2018 (35)

Martinique[No Data]

Montserrat[No Data]

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.