Somalia Integrated Household Budget Survey (SIHBS) 2022
Somalia, 2023
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Reference ID
DDI-SOM-SNBS-SIHBS-2022-v02
Producer(s)
Somalia National Bureau of Statistics
Created on
Dec 10, 2023
Last modified
Sep 23, 2024
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Identification
Survey ID Number
DDI-SOM-SNBS-SIHBS-2022-v02
Title
Somalia Integrated Household Budget Survey (SIHBS) 2022
Country
| Name | Country code |
|---|---|
| Somalia | SOM |
Study type
Consumption/Expenditure/Household Survey
Abstract
The Somalia Integrated Household Survey (SIHBS) is a household budget survey, whose implementation began in 2022 throughout the year with support from both the Government of Somalia and the World Bank through the Somali Integrated Statistics and Economic Capacity Building (SISECB) Project.
The main purpose of the Somali Integrated Household Budget Survey (SIHBS) is to (a) monitor welfare, (b) provide macroeconomic baselines and establish baseline survey for a frequent data collection system in the future, and (c) build the technical and administrative capacity necessary for SNBS to run future SIHBSs with no or minimal external support.
The primary objective of the SIHBS is therefore to collect detailed information on household expenditures and consumption incurred on goods and services to monitor household welfare and measure poverty more sustainably. In addition to welfare data, SIHBS will collect other socioeconomic information relevant for monitoring the living conditions of Somali households such as access to basic assets, facilities and services.
The specific objectives of the SIHBS are:
·To obtain the reference commodity basket of household consumption as weights for the compilation of the consumer price index (CPI).
·To estimate household expenditure for national accounts indicators such as gross domestic product (GDP).
·To study income/expenditure patterns of disadvantaged groups, including pensioner households, single parent households, etc.
·To study income/expenditure disparities among socio-economic groups
·To measure poverty and inequality.
·To build capacity among the SNBS statisticians and enumerators on survey methodology and data collection, processing, analysis and dissemination.
The main purpose of the Somali Integrated Household Budget Survey (SIHBS) is to (a) monitor welfare, (b) provide macroeconomic baselines and establish baseline survey for a frequent data collection system in the future, and (c) build the technical and administrative capacity necessary for SNBS to run future SIHBSs with no or minimal external support.
The primary objective of the SIHBS is therefore to collect detailed information on household expenditures and consumption incurred on goods and services to monitor household welfare and measure poverty more sustainably. In addition to welfare data, SIHBS will collect other socioeconomic information relevant for monitoring the living conditions of Somali households such as access to basic assets, facilities and services.
The specific objectives of the SIHBS are:
·To obtain the reference commodity basket of household consumption as weights for the compilation of the consumer price index (CPI).
·To estimate household expenditure for national accounts indicators such as gross domestic product (GDP).
·To study income/expenditure patterns of disadvantaged groups, including pensioner households, single parent households, etc.
·To study income/expenditure disparities among socio-economic groups
·To measure poverty and inequality.
·To build capacity among the SNBS statisticians and enumerators on survey methodology and data collection, processing, analysis and dissemination.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Households Indviduals within Households
Version
Version Description
Version 2
Version Date
2023-02-12
Scope
Notes
A household module collecting information on dwelling, ownership of land and durable goods, access to basic services and utilities, food security, exposure and response to shocks, household businesses including crops, fisheries and livestock, financial services and remittances.
Individual section captured information on education, health, labor, disability, security perceptions, and ICT.
A consumption module collecting detailed information on food and non-food consumption expenditures.
Individual section captured information on education, health, labor, disability, security perceptions, and ICT.
A consumption module collecting detailed information on food and non-food consumption expenditures.
Keywords
| Keyword |
|---|
| SIHBS, Poverty, food consumption, non-food, consumption, expenditure, assets, durable goods, crops, livestock, fishing, land use, household non-agricultural business and individual income, food security and shocks, credit, income, financial services, and ICT |
Coverage
Geographic Coverage
The following pre-war regions: Awdal, Bakool, Banadir, Bari, Bay, Galgaduud, Gedo, Hiraan, Lower, Juba, Lower Shabelle, Waqooyi Galbeed, Middle Shabelle, Mudug, Nugaal, Sanaag, Sool, and Togdheer and it also covers urban, rural, and nomadic areas of residency.
Universe
Sample survey represents the total population of the country
Producers and sponsors
Primary investigators
| Name |
|---|
| Somalia National Bureau of Statistics |
Producers
| Name | Affiliation | Role |
|---|---|---|
| Somalia National Bureau of Statistics | Statistics Departments at the Federal Member States | Survey implementation and documentation |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| The World Bank | WB | Funding and Technical Support |
Sampling
Sampling Procedure
SIHBS-2022 was designed to provide a representative sample of 7,212 households to estimate various indicators representative at the national level, regionally, and place of residence (rural, urban, and nomadic areas). The development of the SIHBS-2022 sampling frame followed a stratified multi-stage probability cluster sample design. Urban and rural areas followed a three-stage stratified cluster sample design, while in nomadic areas the design was a two-stage stratified cluster sample design. The primary sampling units (PSUs) were selected with a probability proportional to the number of dwelling structures which constituted the sampling frame. The secondary sampling units (SSUs) for rural and urban areas were selected with a probability proportional to the number of listed households which constituted the frame. The ultimate sampling units (USUs) for rural, urban, and nomadic areas were randomly selected from listed households in the cluster.
To begin with, 100 percent of households in the sampling frame in the selected urban, rural and nomadic Enumeration Areas (EAs) were listed as the first level, which captured information on the household head. The listed households were recorded using an electronic listing questionnaire. The data was cleaned, and a summary of households listed per EA were used to generate household sampling frames for the second stage of sampling; 12 households were selected in every EA within each stratum. The primary target for interview was the head of household (HoH) and/or the spouse of the HoH. If the head or spouse were not available, the most knowledgeable member of the household was chosen. The survey sample was selected from 601 EAs distributed throughout Somalia. Each of the 17 regions covered in the survey had 35 EAs sampled. Within each EA, 12 households were interviewed, resulting in 420 households per region.
To begin with, 100 percent of households in the sampling frame in the selected urban, rural and nomadic Enumeration Areas (EAs) were listed as the first level, which captured information on the household head. The listed households were recorded using an electronic listing questionnaire. The data was cleaned, and a summary of households listed per EA were used to generate household sampling frames for the second stage of sampling; 12 households were selected in every EA within each stratum. The primary target for interview was the head of household (HoH) and/or the spouse of the HoH. If the head or spouse were not available, the most knowledgeable member of the household was chosen. The survey sample was selected from 601 EAs distributed throughout Somalia. Each of the 17 regions covered in the survey had 35 EAs sampled. Within each EA, 12 households were interviewed, resulting in 420 households per region.
Response Rate
The national response rate was 96 percent. The response rate was the highest among nomadic households, at 99 percent, followed by rural at 97 percent, while the response rate of urban households was 95 percent.
Weighting
The weighting methodology followed the sampling process. A design weight was constructed following the two stages of sample selection in the sample design:
Stage 1 - Selection of EAs within the region
Stage 2 - Following a listing exercise of all households within each selected EA, a simple random sample of households from an EAs “complete” list of households.
The probability of selection (1/design weight) is based on the number of estimated dwelling units within a stratum (Mh), the number of EAs selected in a region (mh), an EA's estimated number of dwelling units (DUh,i), the number of listed households in an EA (Lh,i), and the number of complete interviews in an EA (qh,i):
Stage 1 - Selection of EAs within the region
Stage 2 - Following a listing exercise of all households within each selected EA, a simple random sample of households from an EAs “complete” list of households.
The probability of selection (1/design weight) is based on the number of estimated dwelling units within a stratum (Mh), the number of EAs selected in a region (mh), an EA's estimated number of dwelling units (DUh,i), the number of listed households in an EA (Lh,i), and the number of complete interviews in an EA (qh,i):
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2023-05-01 | 2023-07-31 |
Data Collection Mode
Computer Assisted Personal Interview [capi]: Face-to-face [f2f]
Data Collection Notes
The survey questionnaire and listing form were scripted with the Survey Solutions software to allow for use in CAPI (computer-assisted personal interviewing) using tablets. A series of checks and testing was done on the mobile script to ensure that all the questions, skip logics and iterations were well captured. Further, the scripted instruments were then piloted in English. The pilot enabled the survey team to check for language comprehension, questionnaire structure and question flow, skip logic and interview length. Two independent translators translated all text into Somali and a third translator reconciled the two translations to ensure that the language and meanings were correctly captured. Then, the Somali version was back translated into English for quality assurance. After that, the final pilot in Somali was undertaken in the field and further revisions were implemented based on the pilot report. Finally, all adjustments were applied on the scripts in English and in Somali for training of the field teams.
Data collection was subject to rigorous quality control protocols, carried at different levels of the field operations. Quality assurance protocols included supervised interviews, spot-checks, backchecks, and automated high-frequency checks of the data collected. Each region had an independent quality control team that reported directly to the project manager. Supervisors observed 10-15 percent of all interviews done by every interviewer; this supervision was more intense during the initial days of data collection to evaluate and improve interviewer performance by noting errors. Meanwhile, back-checking was performed on 5 percent of the interviews.
Data collection was subject to rigorous quality control protocols, carried at different levels of the field operations. Quality assurance protocols included supervised interviews, spot-checks, backchecks, and automated high-frequency checks of the data collected. Each region had an independent quality control team that reported directly to the project manager. Supervisors observed 10-15 percent of all interviews done by every interviewer; this supervision was more intense during the initial days of data collection to evaluate and improve interviewer performance by noting errors. Meanwhile, back-checking was performed on 5 percent of the interviews.
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| Somalia National Bureau of Statistics | SNBS | Statistics Departments at the Federal Member Statistics |
Access policy
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Somalia National Bureau of Statistics | SNBS | snbs@nbs.gov.so | www.nbs.gov.so |
Citation requirements
Somalia Integrated Household Survey Budget (SIHBS) - 2022
Access authority
| Name | URL | |
|---|---|---|
| Somalia National Bureau of Statistics | snbs@nbs.gov.so | www.nbs.gov.so |
Disclaimer and copyrights
Disclaimer
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Copyright
(c) 2023, Somalia National Bureau of Statistics
Metadata production
DDI Document ID
DDI-SOM-SNBS-SIHBS-2022-v02
Producers
| Name | Abbreviation |
|---|---|
| Somalia National Bureau of Statistics | SNBS |
Date of Metadata Production
2023-12-04
DDI Document version
DDI-SOM-SNBS-SIHBS-2022-v01