Disaster Poverty Household Survey 2017, Addis Ababa and Dire Dawa
Ethiopia, 2017
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Reference ID
ETH_2017_DPHS_v01_M
Producer(s)
Alvina Erman, Silvia Malgioglio, Nobuo Yoshida, Stephane Hallegatte
Collection(s)
Metadata
Created on
Jul 07, 2022
Last modified
Jul 07, 2022
Page views
2640
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Identification
Survey ID Number
ETH_2017_DPHS_v01_M
Title
Disaster Poverty Household Survey 2017, Addis Ababa and Dire Dawa
Country/Economy
| Name | Country code |
|---|---|
| Ethiopia | ETH |
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 income (or consumption expenditure) based on non-monetary variables that are highly correlated with poverty. 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 income (or consumption expenditure) based on non-monetary variables that are highly correlated with poverty. 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 Addis Ababa and Dire Dawa was conducted in May and June 2017, with the objective to assess the role of poverty in disaster risk, focusing primarily on urban flooding but also other hazards.
This project was a collaborative effort between Global Facility for Disaster Reduction and Recovery (GFDRR), the Poverty Global Practice and Urban, Disaster Risk Management, Resilience and Land Global Practice (GPURL). Data collection was carried out by UDA Consulting under the supervision of the World Bank.
This project was a collaborative effort between Global Facility for Disaster Reduction and Recovery (GFDRR), the Poverty Global Practice and Urban, Disaster Risk Management, Resilience and Land Global Practice (GPURL). Data collection was carried out by UDA Consulting under the supervision of the World Bank.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
- Household
- Individual
- Individual
Version
Version Description
Version 01
Version Date
2022-06-23
Scope
Notes
The survey covered the following topics:
- Household information
- Household roster: demographic characteristic, education attainment, labor participation, health
- Household enterprises
- Asset ownership
- Housing and services: tenure arrangements, land rights, credit for land, housing costs and rent, tenure security, housing quality, access to services, agricultural practices, social protection (UPSNP), source of income, remittances
- Investments in housing
- Shock roster (flood, landslide, fire)
- Experience with shocks
- Idiosyncratic shocks
- Preventive measures flood
- Perception of future risk
- Food Insecurity (Reduced Coping Strategy Index CSI-R)
- Depression
- Household information
- Household roster: demographic characteristic, education attainment, labor participation, health
- Household enterprises
- Asset ownership
- Housing and services: tenure arrangements, land rights, credit for land, housing costs and rent, tenure security, housing quality, access to services, agricultural practices, social protection (UPSNP), source of income, remittances
- Investments in housing
- Shock roster (flood, landslide, fire)
- Experience with shocks
- Idiosyncratic shocks
- Preventive measures flood
- Perception of future risk
- Food Insecurity (Reduced Coping Strategy Index CSI-R)
- Depression
Coverage
Geographic Coverage
Cities of Addis Ababa and Dire Dawa, Ethiopia.
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Alvina Erman | The World Bank |
| Silvia Malgioglio | The World Bank |
| Nobuo Yoshida | The World Bank |
| Stephane Hallegatte | The World Bank |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| Global Facility for Disaster Reduction and Recovery | GFDRR | Funded the survey |
Sampling
Sampling Procedure
Satellite images of Addis Adaba and Dire Dawa were used to divide both cities into 100m x 100m grids and among those, 173 and 81 grids in Addis Ababa and Dire Dawa respectively were randomly selected. In each selected grid, a 10 x 10 meters secondary dot grids were created. Then, in each secondary grid, 5 households were randomly assessed for inclusion. If the house corresponded to the characteristics of a residential and “low-income/slum” dwelling, it was included in the sample. While the sampling was carried out in a manner to assure representativeness at the city level, caution should be taken before generalizing results generating from this data for the entire city population. This is because the sample intended to sample slum dwellers and low-income households (based on factors that are detectable in high-resolution satellite imagery and visible from above, such as quality of roofing and dwelling size, size of plot, etc.).
Data Collection
Dates of Data Collection
| Start | End | Cycle |
|---|---|---|
| 2017-05 | 2017-06 | 1 |
Data Collection Mode
Computer Assisted Personal Interview [capi]
Supervision
The World Bank
Data Collectors
| Name | Abbreviation |
|---|---|
| UDA Consulting | UDA |
Questionnaires
Questionnaires
The survey questionnaire consists of 13 sections that were used to collect the survey data. See the attached questionnaire.
Data Processing
Data Editing
The following data editing was done for anonymization purposes:
• Precise location data, such as GPS coordinates, and 10 x 10 meters grids were dropped
• Personal information, such as names and phone numbers were dropped
• The number of religions reported was reduced from 6 to 3 categories, the number of ethnicities from 14 to 4 categories, marital status from 6 to 4 categories
• Household size exceeding seven household members was categorized as “above 7 members”
• Household member information for 7th member and above was dropped to avoid reconstruction of the household size variable.
For more information on the anonymization process, see the Technical Document.
• Precise location data, such as GPS coordinates, and 10 x 10 meters grids were dropped
• Personal information, such as names and phone numbers were dropped
• The number of religions reported was reduced from 6 to 3 categories, the number of ethnicities from 14 to 4 categories, marital status from 6 to 4 categories
• Household size exceeding seven household members was categorized as “above 7 members”
• Household member information for 7th member and above was dropped to avoid reconstruction of the household size variable.
For more information on the anonymization process, see the Technical Document.
Access policy
Contacts
| Name | Affiliation | |
|---|---|---|
| Alvina Erman | GFDRR | aerman@worldbank.org |
Confidentiality
Confidentiality has been ensured through a process of anonymization (see Technical Document 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), Dire Dawa and Addis Ababa, Ethiopia 2017. Ref: ETH_2017_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_ETH_2017_DPHS_v01_M_WB
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Development Economics Data Group | DECDG | The World Bank | Metadata producer |
Date of Metadata Production
2022-07-01
DDI Document version
Version 01 (July 2022)