Abstract

The hunger rate represents the share of the people in a country below a fraction of a cost of basic needs poverty line. The fraction used by FAO is 52%, and I use that value for 2018. For years before and up to 1820 I linearly interpolate using a 80% value for 1820. The dynamic caloric requirement that is used to estimate the food component follows the FAO guidelines, and it is estimated based on height data from Clio Infra, and age-gender population distributions from UN and Mitchell. The protein content is 0.83 gr per kg of body weight. The estimates cover the period 1820-2018 (yearly). It is expressed as a share, from 0 to 1

Author(s)

Michail Moatsos

Production date

27 May 2024

Variable(s)

Hunger rate

Keywords

Global hunger, hunger rate, FAO hunger

Time period

1820-2018

Geographical coverage

Global

Methodologies used for data collection and processing

Annual estimates. See the parent paper (on poverty) for details at https://www.oecd-ilibrary.org/sites/3d96efc5-en/1/3/9/index.html?itemId=/content/publication/3d96efc5-en&_csp_=2c2e680562193998e9d20ed6a45a9242&itemIGO=oecd&itemContentType=book

Period of collection

2017-2020

Data collectors

Michail Moatsos


See table 9.1 at https://www.oecd-ilibrary.org/sites/3d96efc5-en/1/3/9/index.html?itemId=/content/publication/3d96efc5-en&_csp_=2c2e680562193998e9d20ed6a45a9242&itemIGO=oecd&itemContentType=book and the section on data quality of the paper for the details on data quality.]

General references

See the parent paper (on global poverty) for details at https://www.oecd-ilibrary.org/sites/3d96efc5-en/1/3/9/index.html?itemId=/content/publication/3d96efc5-en&_csp_=2c2e680562193998e9d20ed6a45a9242&itemIGO=oecd&itemContentType=book

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 (39)

Grenada1500 (5)-2013 (21)

Guadeloupe[No Data]

Haiti1500 (6)-2018 (37)

Jamaica1500 (6)-2018 (36)

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.