Survey on Living Conditions and Social Development in Northern Haiti (LCSDS): 2014-2015

By Housing and Urban Development Division (VPS/CSD/HUD)

The Living Conditions and Social Development Survey (LCSDS) aims to evaluate and monitor the economic and social conditions, as well as poverty levels, in the communes near the Caracol Industrial Park (PIC). Located 25 km southeast of Cap-Haïtien (Haiti’s second most populous city), the PIC is a flagship economic development initiative that, by 2017, had created 10,000 new jobs in the light manufacturing sector. Between 2001 and 2003, the Haitian Institute of Statistics and Informatics (IHSI) conducted its first and only comprehensive survey on living conditions. The purpose of that survey was to establish baseline development indicators on topics such as housing and infrastructure, demographics, migration, education, labor, health, household income, domestic and public life, and agriculture. No similar comprehensive survey on living conditions has been conducted since. The LCSDS adapted the IHSI’s 2001-2003 survey questionnaire, adding specific modules on perceptions and opinions about the PIC and associated changes in the area. The survey was conducted between 2014 and 2015 as part of the implementation of the Emerging and Sustainable Cities Initiative in Northern Haiti.

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Metadata & use

Identifier https://doi.org/10.60966/hvek-wr64
License Creative Commons Attribution–NonCommercial–NoDerivs 3.0 IGO
Citation

Inter-American Development Bank, 2020, Survey on Living Conditions and Social Development in Northern Haiti (LCSDS): 2014-2015, IDB Open Data, https://doi.org/10.60966/hvek-wr64

Issued date 2020-07-02
Modified date 2025-04-10
Tags/Keywords Economic Development · Housing Improvement · Human Migration · Metropolitan Area · Poverty Rate · Public Opinion Poll · Social Indicator · Social Research
Language French
Temporal coverage 2014-2015
Geographic coverage
Haiti
Regional coverage Latin America and the Caribbean
Publisher
Inter-American Development Bank
Author
Inter-American Development Bank
Data collection type Survey Data
Statistical type Cross-sectional Data
Data structure Structured Data

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