Abstract

Armed conflicts (internal) 1 if there was an internal conflict in a given year in a given area, 0 otherwise

Author(s)

Peter Brecke (original data), Peter Foldvari (conversion to binary data)

Production date

14-01-2013

Variable(s)

Occurrence of armed conflicts (internal)

Keywords

armed conflicts, revolt, revolution, uprising, rebellion, civil war

Time period

1500-2000

Geographical coverage

Entire World

Methodologies used for data collection and processing

The dataset were submitted by the author Peter Brecke to the Institutions hub at the CGEH and the information contained in it has been converted to the CLIO INFRA template by Peter Foldvari

Period of collection

October/2010 and July/2012

Data collectors

Peter Brecke


i. Central statistical agencies ii. Historical reconstructions iii. Estimates iv. Conjectures Based on available historical information on wars and conflicts. The work is still on progress, accuracy is not 100%. Some further mistakes might have been made during the conversion

General references

Peter Brecke: Violent Conflicts 1400 A.D. to the Present in Different Regions of the World

Caribbean

Anguilla[No Data]

Antigua and Barbuda1500 (5)-2013 (21)

Aruba[No Data]

Bahamas1500 (5)-2013 (23)

Barbados1500 (5)-2013 (27)

Bonaire, Sint Eustatius and Saba[No Data]

British Virgin Islands[No Data]

Cayman Islands[No Data]

Cuba1500 (8)-2012 (34)

Curaçao[No Data]

Dominica1500 (5)-2013 (20)

Dominican Republic1500 (6)-2013 (40)

Grenada1500 (5)-2013 (21)

Guadeloupe[No Data]

Haiti1500 (6)-2013 (36)

Jamaica1500 (6)-2013 (38)

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.