Disaster Poverty Household Survey 2018, Cap-Haïtien
Haiti, 2018
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Reference ID
HTI_2018_DPHS_v01_M
Producer(s)
Sering Touray, Emilie Bernadette Perge
Collection(s)
Metadata
Created on
Jul 07, 2022
Last modified
Jul 07, 2022
Page views
4881
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Identification
Survey ID Number
HTI_2018_DPHS_v01_M
Title
Disaster Poverty Household Survey 2018, Cap-Haïtien
Country/Economy
| Name | Country code |
|---|---|
| Haiti | HTI |
Study type
Other Household Survey [hh/oth]
Series Information
The Disaster Poverty Household Survey (DPHS) is designed to collect information to assess the relationship between disaster risk (exposure, vulnerability, and capacity to recover) and poverty in the urban environment. The data can be used to explore policy-relevant research topics related to climate change adaptation, urbanization, urban poverty, and more.
DPHS data contains information on household characteristics, household expenditure, living conditions and household experience with disasters. Household characteristics include household size and member level information on religion, education and labor. Household expenditure is collected using the Survey of Well-being via Instant and Frequent Tracking (SWIFT) methodology, which estimates household poverty based on household characteristics which are highly correlated with household wellbeing. Information on living conditions covers housing quality, asset ownership, access to services and jobs, rent and housing costs and tenure arrangements. Information on experiences with disasters includes direct and indirect impacts of historic disasters on household assets, education, health and labor access, as well as impacts on public services. There is also information on coping behaviors and perception of risk of future exposure. The DPHS can be customized to collect information on different disasters. So far, it has mainly focused on the impacts of urban flooding.
This initiative is led by Global Facility for Disaster Reduction and Recovery (GFDRR) and was developed and implemented in strong collaboration with the Poverty Global Practice and Urban, Disaster Risk Management, Resilience and Land Global Practice (GPURL) at the World Bank, as well as counterparts (Ministries of Finance, local and city governments, national statistical agencies, disaster risk management agencies, etc.) and selected survey firms.
DPHS data contains information on household characteristics, household expenditure, living conditions and household experience with disasters. Household characteristics include household size and member level information on religion, education and labor. Household expenditure is collected using the Survey of Well-being via Instant and Frequent Tracking (SWIFT) methodology, which estimates household poverty based on household characteristics which are highly correlated with household wellbeing. Information on living conditions covers housing quality, asset ownership, access to services and jobs, rent and housing costs and tenure arrangements. Information on experiences with disasters includes direct and indirect impacts of historic disasters on household assets, education, health and labor access, as well as impacts on public services. There is also information on coping behaviors and perception of risk of future exposure. The DPHS can be customized to collect information on different disasters. So far, it has mainly focused on the impacts of urban flooding.
This initiative is led by Global Facility for Disaster Reduction and Recovery (GFDRR) and was developed and implemented in strong collaboration with the Poverty Global Practice and Urban, Disaster Risk Management, Resilience and Land Global Practice (GPURL) at the World Bank, as well as counterparts (Ministries of Finance, local and city governments, national statistical agencies, disaster risk management agencies, etc.) and selected survey firms.
Abstract
The DPHS in Cap-Haïtien was conducted in October and November 2018 in the metropolitan area of the city. The focus of the data collection was to capture information on exposure to flooding in Cap-Haïtien as well as household preparedness including access to early warning systems and the use of coping strategies.
The Poverty and Equity Global Practice designed, conducted, and managed the project in coordination with Global Practice of Urban, Resilience, and Land (GPURL). The Global Facility for Disaster Reduction and Recovery (GFDRR) financed the project. The Interuniversity Institute for Research and Development (INURED) carried out the data collection under World Bank supervision. The municipality of Cap-Haïtien also supported data collection.
The Poverty and Equity Global Practice designed, conducted, and managed the project in coordination with Global Practice of Urban, Resilience, and Land (GPURL). The Global Facility for Disaster Reduction and Recovery (GFDRR) financed the project. The Interuniversity Institute for Research and Development (INURED) carried out the data collection under World Bank supervision. The municipality of Cap-Haïtien also supported data collection.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
- Household
- Individual
- Individual
Version
Version Description
Version 01: Edited dataset for public distribution
Coverage
Geographic Coverage
Cap-Haïtien, Haiti.
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Sering Touray | The World Bank |
| Emilie Bernadette Perge | The World Bank |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| Global Facility for Disaster Reduction and Recovery | GFDRR | Funded the survey |
Sampling
Sampling Procedure
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.
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.
Data Collection
Dates of Data Collection
| Start | End | Cycle |
|---|---|---|
| 2018-10 | 2018-11 | 1 |
Data Collection Mode
Computer Assisted Personal Interview [capi]
Supervision
The World Bank
Data Collectors
| Name | Abbreviation |
|---|---|
| The Interuniversity Institute for Research and Development | INURED |
Questionnaires
Questionnaires
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.
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.
Data Processing
Data Editing
The following data editing was done for anonymization purpose:
- Precise location data, such as GPS coordinates, were dropped.
- Identifying information, such as name and phone numbers were dropped.
- Categories for type of dwelling were reduced from 7 to 4.
See the Technical Note for more details.
- Precise location data, such as GPS coordinates, were dropped.
- Identifying information, such as name and phone numbers were dropped.
- Categories for type of dwelling were reduced from 7 to 4.
See the Technical Note for more details.
Access policy
Contacts
| Name | Affiliation | |
|---|---|---|
| Alvina Erman | The World Bank | aerman@worldbank.org |
Confidentiality
Confidentiality has been ensured through a process of anonymization (see Technical Note for details).
Access conditions
Data is accessible for licensed users only and further dissemination of data is not allowed.
Citation requirements
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].
Disclaimer and copyrights
Disclaimer
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.
Metadata production
DDI Document ID
DDI_HTI_2018_DPHS_v01_M_WB
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Development Economics Data Group | DECDG | The World Bank | Documentation of the survey |
Date of Metadata Production
2022-07-06
DDI Document version
Version 01 (July 2022)