| Name | Country code |
|---|---|
| Haiti | HTI |
Cap-Haïtien, Haiti.
| Name | Affiliation |
|---|---|
| Sering Touray | The World Bank |
| Emilie Bernadette Perge | The World Bank |
| Name | Role |
|---|---|
| Global Facility for Disaster Reduction and Recovery |
Funded the survey |
A stratified two-stage sampling strategy was applied to ensure the representativeness of the survey results. The sampling frame was constructed using the consumption aggregates from the 2012 Enquête sur les Conditions de Vie des Ménages après le Séisme (ECVMAS) collected by the Institut Haïtien de Statistique et d'Informatique (IHSI). The first stage identifies all applicable Primary Sampling Units (PSUs); and the second stage selects households within selected PSUs.
PSUs are categorized based on two spatial criteria: location the project area and location in areas with high flood risk. The project area in Cap-Haïtien refers to the areas benefiting from the Municipal Development and Urban Resilience project (MDUR, P155201). The high-risk areas are identified based on hazard maps and refer to areas with ‘moderate to high/strong’ and ‘strong to very strong’ risks of floods (Guillande, 2015). Based on these two criteria, four strata are constructed: project areas with high/moderate risk of floods; project areas with low/no risk of floods; non-project areas with high/moderate risk of floods; and non-project Areas with low/no risk of floods.
To calculate the probability of selection of households, WorldPop data is used to assign number of households per PSU. In the second stage, a listing of all households within a given PSU is conducted to determine the probability of household selection. By design, 120 PSUs were surveyed and 5 households per PSU were selected.
Weights are applied to ensure that the estimates obtained from the survey data are representative of the population of interest.
The questionnaire contains twenty modules with questions at the household and individual level. The questionnaire is only available in French (although the data is translated and labeled in English).
At the household level, questions include housing characteristics, tenure status, and asset ownership. At the individual level, there are questions on education, employment, and unemployment. Additionally, questions on the ownership, use, and coverage of mobile phones are asked to the household head.
Questions on flooding impact, recovery and coping are asked at the household level. They include questions about the experience with frequent floods and perception of risk to future flooding. Impacts of flooding on housing, assets, consumption, access to public services and transport, work, education, and health are asked. Finally, questions on cooping strategy and awareness of emergency warning systems are also included.
| Start | End | Cycle |
|---|---|---|
| 2018-10 | 2018-11 | 1 |
| Name |
|---|
| The Interuniversity Institute for Research and Development |
The World Bank
The following data editing was done for anonymization purpose:
See the Technical Note for more details.
| Is signing of a confidentiality declaration required? | Confidentiality declaration text |
|---|---|
| yes |
Confidentiality has been ensured through a process of anonymization (see Technical Note for details). |
Data is accessible for licensed users only and further dissemination of data is not allowed.
The World Bank. Disaster Poverty Household Survey (DPHS), Cap-Haïtien, Haiti 2018. Ref: HTI_2018_DPHS_v01_M. Dataset downloaded from microdata.worldbank.org on [date].
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
| Name | Affiliation | |
|---|---|---|
| Alvina Erman | The World Bank | aerman@worldbank.org |
| Name | Affiliation | Role |
|---|---|---|
| Development Economics Data Group | The World Bank |
Documentation of the survey |
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