Iraq successfully conducted two rounds of Integrated Household Socioeconomic Survey (IHSES), nationally representative multi-topic budget surveys, in 2007 and 2012. The surveys allowed an analysis of a range of socio-economic indicators and the estimation of poverty trends. To provide more frequent poverty estimates, Continuous Household Survey (CHS) was implemented in 2014 on a sub-sample of IHSES clusters. However, the fieldwork was disrupted in the summer of 2014 in some parts of the country due to the deterioration in the security situation. The third round of IHSES, planned for 2017, could not take place on time as well. At the same time, the ongoing security and budget crises made it more important than ever to monitor key socio-economic indicators. The objective of the 2017 rapid welfare monitoring survey (SWIFT) was to provide interim estimates of welfare and well-being until another survey comparable in scope and coverage to IHSES could be fielded.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Individual and Household
The survey covered the following topics:
LONG FORM QUESTIONNAIRE
- Rations (rations received and consumption of rations items past 30 days)
- Expenditures on non-food services and commodities during the past 30 days
- Expenditures on non-food services and commodities during the past 90 days
- Acquisition of non-food services and commodities during the past 12 months
- Food consumption over the past 7 days
- Durable goods
SHORT FORM QUESTIONNAIRE
- Household roster
- Activity status
- Durable goods
- Transfers and assistance
- Subjective wellbeing
Although the security situation had improved since 2014, many parts of the country were still insecure 2017. Thus, nine out of ten districts in Nineveh governorate, the seat of Daesh-occupied Iraq, were intentionally excluded from the sampling frame. As the data collection proceeded, five additional districts – 3 in Anbar, 1 in Baghdad, and 1 in Salah al-din – were judged to be too insecure for fieldwork so the selected enumeration areas from these areas were replaced with other clusters from the same governorate. Thus, the final sample covers only 106 of 120 districts in the country.
Producers and sponsors
Central Statistical Organization (CSO)
Ministry of Planning, Republic of Iraq
Kurdistan Regional Statistics Office
Contribute to the implementation of the study
Department for International Development
The 2009 census of dwellings, the most recent sampling frame available for Iraq, served as the sampling frame for the SWIFT survey. Given the large number of people displaced within the country since 2014, the survey was designed to capture a representative sample of internally displaced persons. Furthermore, given the prevalence of Syrian refugees in the Kurdistan region, the survey also sampled refugee households in Kurdistan. A socioeconomic survey of camp residents was conducted by CSO and KRSO in 2017 so to avoid duplication of effort, the camp residents were excluded from the SWIFT survey. Informal ad-hoc settlements that have been constructed since the last update of sampling frame were included in the survey through household listing operation in the sampled enumeration areas. The survey was designed to cover all governorates, including areas in Nineveh deemed safe for field visits.
The sampling design followed a nested logic. All households in the sample responded to a short questionnaire. The short form collected information on the following core non-monetary indicators of well-being: household roster, education attainment, labor market variables, dwelling characteristics, access to basic services, asset ownership, transfers and assistance (public and private), incidence of shocks, and subjective well-being. A random subset of the sampled households also responded to the complete list of questions on household expenditure. The full sample was designed to be representative for each governorate. The expenditure sub-sample was representation at the regional level, where each region comprises three to five governorates.
Within each governorate, the out-of-camp sample was selected in two stages as following. First, using the exhaustive list of Census Enumeration Areas as Primary Sampling Units (PSUs), between 60 to 150 EAs in each governorate was selected using Probability Proportional to Size (PPS) criteria, with the number of households in each area as the measure of size. Listing exercise was conducted in the selected areas to update the list of households. In the second stage, using households as secondary sampling units (SSUs), six households were selected in each cluster with equal probability from the post-listing sampling frame. The sample of households in the second stage was stratified by residence status. In selecting six households from a cluster, three each of IDP and non-IDP households were selected in the non-Kurdistan region. In the Kurdistan region, two each of IDP, non-IDP, and refugee households were selected. If an enumeration area in Kurdistan had fewer than two refugee or IDP households, the gap was filled by randomly selecting resident households from the same enumeration area. Likewise, if a PSU in the rest of Iraq had fewer than three IDP households, the shortfall was met by resident households to reach a total of 6 households per PSU.
Expenditure information was collected from a subsample of households from a subsample of enumeration areas. In Kurdistan, one household each of residents, IDPs, and refugees in a subset of clusters responded to the expenditure questions and in Rest of Iraq, one household each of residents and IDPs answered the expenditure questions.
Deviations from the Sample Design
Due to insecurity, the survey could be implemented in only 106 of 120 districts (qhadas) in the country.
Dates of Data Collection
Data Collection Mode
Computer Assisted Personal Interview [capi]
Data Collection Notes
The short form questionnaire was implemented by CAPI. The household expenditure data was collected by diary method on paper and entered into a laptop.
Dr. Qusay Raoof Abdulfatah
Central Statistical Organization
Dr. Serwan Mohammed
Kurdistan Regional Statistics Office
Use of the dataset must be acknowledged using a citation which would include:
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download
Disclaimer and copyrights
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.
DDI Document ID
Development Economics Data Group
The World Bank
Documentation of the DDI
Date of Metadata Production
DDI Document version
Version 01 (May 2019)