Enterprise Survey Follow-up on COVID-19 2021, Round 3
Somalia, 2021
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Reference ID
SOM_2021_ES-COVID19-R3_v01_M
Producer(s)
World Bank Group
Collection(s)
Metadata
Created on
Nov 17, 2021
Last modified
Nov 17, 2021
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3369
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Identification
Survey ID Number
SOM_2021_ES-COVID19-R3_v01_M
Title
Enterprise Survey Follow-up on COVID-19 2021, Round 3
Subtitle
Round 3
Country/Economy
| Name | Country code |
|---|---|
| Somalia | SOM |
Study type
Enterprise Survey [en/oth]
Abstract
As part of the efforts of the World Bank Group to understand the impact of COVID-19 on the private sector, the Enterprise Analysis unit is conducting follow-up surveys on recently completed Enterprise Surveys (ES) in several countries. These short surveys follow the baseline ES and are designed to provide quick information on the impact and adjustments that COVID-19 has brought about in the private sector.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
The primary sampling unit of the study is the establishment. An establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.
Version
Version Description
Version 01. Edited, anonymous dataset for public distribution
Scope
Notes
The 2021 Somalia Enterprise Follow-up Survey on COVID-19, Round 3 covered the following topics:
- General information of a firm/ establishment
- Sales
- Production
- Labor
- Finance
- Policies
- Expectations
- Trade and global value chains
- Information on permanently closed establishments
- General information of a firm/ establishment
- Sales
- Production
- Labor
- Finance
- Policies
- Expectations
- Trade and global value chains
- Information on permanently closed establishments
Coverage
Geographic Coverage
The COVID-19 follow-up survey for Somalia covered establishments in Bosasu, Mogadishu, Baidoa, Beledeyne and Kismayo.
Universe
The universe of inference is all registered establishments with five or more employees that are engaged in one of the following activities defined using ISIC Rev. 3.1: manufacturing (group D), construction sector (group F), services sector (groups G and H), transport, storage, and communications sector (group I) and information technoloy (division 72 of group K)
Producers and sponsors
Primary investigators
| Name |
|---|
| World Bank Group |
Funding Agency/Sponsor
| Name | Abbreviation |
|---|---|
| World Bank Group | WBG |
Sampling
Sampling Procedure
The COVID-19 survey for Somalia is slightly different from the standard follow-up survey conducted by the unit in other countries in two ways. First, while the 2019 World Bank Enterprise Survey covered only Bosasu and Mogadishu, the COVID-19 survey has been expanded to cover three additional cities - Baidoa, Beledweyne and Kismayo. Sampling for these additional cities followed the standard ES methodology of stratified random sampling and the universe of coverage is the same as the standard ES. Second, for Bosaso and Mogadishu, establishments that refused the follow-up interview or were unobtainable are replaced by establishments that were not part of the 2019 ES, selected from the same cell (combination of size, sector, and location) as in the ES. Further, for Mogadishu the coverage of the COVID-19 survey has been expanded by increasing the sample size for the ES firms (5 or more employees) compared to the 2019 ES, and by adding micro-enterprises. The baseline for Bosaso and Mogadishu contains a total of 250 interviews conducted from Nomber 2019 though February 2020. For these two cities, the follow-up data can be merged with the baseline data set using the variable idstd.
Total sample target: 453
Total sample target: 453
Response Rate
93.4%
Weighting
The dataset contains three weight variables. The baseline weights are denoted wmedian_ES and are used to compute the indicators that project to the baseline Universe (e.g. exit rates). To account for non-response in the follow-up, these sampling weights are adjusted by cell of stratification (combination of size, sectorm and location). The resulting variable wmedian_COVID - recommended to be used for analysis and used to compute all other indicators - assumes that businesses that could not re-contacted (unobtainable) have exited the market. The variable wweak_COVID assumes that unobtainable businesses continue to exist. Establishments that have closed permanently are interviewed using a short questionnaire which is also available in the dataset.
Data Collection
Dates of Data Collection
| Start | End | Cycle |
|---|---|---|
| 2021-08-26 | 2021-09-20 | Round 3 |
Data Collection Mode
Computer Assisted Telephone Interview [cati]
Data Collectors
| Name |
|---|
| Altai Consulting |
Questionnaires
Questionnaires
The questionnaire contains the following modules:
- Control information and introduction
- Sales
- Production
- Labor
- Finance
- Policies
- Expectations
- Trade and global value chains
- Information on permanently closed establishments
- Interview protocol
- Control information and introduction
- Sales
- Production
- Labor
- Finance
- Policies
- Expectations
- Trade and global value chains
- Information on permanently closed establishments
- Interview protocol
Access policy
Contacts
| Name | Affiliation | |
|---|---|---|
| Enterprise Analysis Unit | World Bank Group | enterprisesurveys@worldbank.org |
Confidentiality
Confidentiality of the survey respondents and the sensitive information they provide is necessary to ensure the greatest degree of survey participation, integrity and confidence in the quality of the data. Surveys are usually carried out in cooperation with business organizations and government agencies promoting job creation and economic growth, but confidentiality is never compromised.
Citation requirements
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
Example:
The World Bank. Somalia - Enterprise Survey Follow-up on COVID-19 Round 3 (ES-COVID19-R3), 2021. Ref. SOM_2021_ES-COVID19-R3_v01_M. Dataset downloaded from https://www.enterprisesurveys.org/portal/login.aspx on [date].
- 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
Example:
The World Bank. Somalia - Enterprise Survey Follow-up on COVID-19 Round 3 (ES-COVID19-R3), 2021. Ref. SOM_2021_ES-COVID19-R3_v01_M. Dataset downloaded from https://www.enterprisesurveys.org/portal/login.aspx on [date].
Access authority
| Name | Affiliation | |
|---|---|---|
| Enterprise Analysis Unit | World Bank Group | enterprisesurveys@worldbank.org |
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_SOM_2021_ES-COVID19-R3_v01_M_WB
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Development Data Group | DECDG | The World Bank | Documentation of the DDI |
Date of Metadata Production
2021-11-08
DDI Document version
Version 01 (November 2021)