Informal Business Sector Survey 2016
Zimbabwe, 2017
World Bank Group (WBG)
Last modified
February 05, 2020
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Documentation in PDF
Study website
Metadata
DDI/XML
JSON
Identification
IDNO
ZWE_2017_ISBS_v01_M
Title
Informal Business Sector Survey 2016
Countries
| Name | Code |
|---|---|
| Zimbabwe | ZWE |
Study notes
The 2016 Zimbabwe Informal Sector Business Survey (ISBS) data was collected by the World Bank Group - Enterprise Analysis Unit. The survey covers Harare city.
The primary objectives of the survey are: i) to understand the business demographics of the sector in the two cities, and ii) to describe the environment within which these businesses operate. A secondary objective of the survey is to provide an estimate of the number of informal businesses operating in these cities.
The primary objectives of the survey are: i) to understand the business demographics of the sector in the two cities, and ii) to describe the environment within which these businesses operate. A secondary objective of the survey is to provide an estimate of the number of informal businesses operating in these cities.
Kind of data
Sample survey data [ssd]
Version
Version
Version 01. Edited, anonymous dataset for public distribution.
Coverage
Geographic coverage
The survey covers Harare city.
Unit of analysis
Unit of analysis is informal business, where informality is defined based on whether or not a business is formally registered with the government.
Universe
The universe includes informal businesses, where informality is defined based on whether or not a business is formally registered with the government.
Producers and sponsors
Authoring entity
| Name |
|---|
| World Bank Group (WBG) |
Funding agencies
| Name | Abbreviation |
|---|---|
| World Bank Group | WBG |
Sampling
Sampling procedure
The 2016 Harare ISBS pilots a new way of surveying these informal sector businesses. The survey follows an area-based sampling methodology, whereby the primary sampling unit is a geographic area rather than an establishment or a business unit. To account for potential clustering of informal business, the survey uses a particular type of area-based sampling, called (stratified) Adaptive Cluster Sampling (ACS). This is a version of area-based sampling in which one selects a sample of starting grids (usually squares), which will constitute the start of the fieldwork. All informal business in selected squares will be enumerated, using a 2 to 3-minutes questionnaire (short-form questionnaire). A randomly selected subset of the enumerated businesses will be given a 20-minutes, long-form questionnaire.
The first step in the sampling approach was the construction of a spatial grid as the Primary Sampling Units (PSU) frame. The grid covered the total of municipal Harare, and each cell had a size of 200 by 200 meters. This produced a total of about 22,000 grids. The second step was to stratify each grid, based on likely concentration of informal business units. In Harare, the grids were categorized into four strata: three strata of low, medium, and high concentration of informal sector activity, and a market centre. The stratification was based on local knowledge of the survey implementing contractor. The third step in the sampling process was to select a pre-defined number of starting squares from each stratum for enumeration purposes. For Harare ISBS, a total of 226 starting squares were randomly selected for enumeration. The target number of starting squares, as well as the initial allocation across strata, was defined through a simulation. This simulation is implemented in R and uses the Shiny library.
The first step in the sampling approach was the construction of a spatial grid as the Primary Sampling Units (PSU) frame. The grid covered the total of municipal Harare, and each cell had a size of 200 by 200 meters. This produced a total of about 22,000 grids. The second step was to stratify each grid, based on likely concentration of informal business units. In Harare, the grids were categorized into four strata: three strata of low, medium, and high concentration of informal sector activity, and a market centre. The stratification was based on local knowledge of the survey implementing contractor. The third step in the sampling process was to select a pre-defined number of starting squares from each stratum for enumeration purposes. For Harare ISBS, a total of 226 starting squares were randomly selected for enumeration. The target number of starting squares, as well as the initial allocation across strata, was defined through a simulation. This simulation is implemented in R and uses the Shiny library.
Weighting
To estimate population parameters, weights are applied to survey samples. In surveys design following standard random sampling, selection probability of all units is known before the actual data collection. Hence, weights can be derived as the inverse of selection probability.
Computation of sampling weights is a bit involved for Adaptive cluster sampling since final sample size is not known apriori. In ACS, selection probabilities are not known a priori since units are adaptively added to the sample depending on the number of informal units found in a square. In adaptive sampling, one instead talks about empirically derived inclusion probabilities.
Note: Refer to Sampling Weight section in "The 2016 Zimbabwe Informal Sector Business Survey Dataset" document for further details on sampling weight.
Computation of sampling weights is a bit involved for Adaptive cluster sampling since final sample size is not known apriori. In ACS, selection probabilities are not known a priori since units are adaptively added to the sample depending on the number of informal units found in a square. In adaptive sampling, one instead talks about empirically derived inclusion probabilities.
Note: Refer to Sampling Weight section in "The 2016 Zimbabwe Informal Sector Business Survey Dataset" document for further details on sampling weight.
Data Collection
Dates of collection
| Start | End |
|---|---|
| 2017-04 | 2017-07 |
Mode of data collection
Computer Assisted Personal Interview [capi]
Questionnaires
The survey data was collected using a standardized questionnaire, i.e., the long-form questionnaire. The questionnaire was developed building on previous modules used by the Enterprise Analysis Unit of the World Bank to survey informal businesses.
Data collector(s)
| Name |
|---|
| Probe Market Research |
Data access
metadata.study_desc.data_access.dataset_use.conf_dec
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
The use of this dataset must be acknowledged using a citation which would include:
- the identification of the Primary Investigator (including country name)
- the full title of the survey and its acronym (when available), and the year(s) of implementation
- the survey reference number
- the source and date of download (for datasets disseminated online).
Example:
The World Bank. Zimbabwe - Informal Sector Business Survey 2016, Ref. ZWE_2017_ISBS_v01_M. Dataset downloaded from https://www.enterprisesurveys.org/portal/login.aspx on [date].
- the identification of the Primary Investigator (including country name)
- the full title of the survey and its acronym (when available), and the year(s) of implementation
- the survey reference number
- the source and date of download (for datasets disseminated online).
Example:
The World Bank. Zimbabwe - Informal Sector Business Survey 2016, Ref. ZWE_2017_ISBS_v01_M. Dataset downloaded from https://www.enterprisesurveys.org/portal/login.aspx on [date].
Original archive where collection stored
Enterprise Surveys
https://www.enterprisesurveys.org/Portal/
Cost: None
https://www.enterprisesurveys.org/Portal/
Cost: None
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.
Contacts
Contact(s)
| Name | Affiliation | |
|---|---|---|
| Enterprise Analysis Unit | World Bank Group | enterprisesurveys@worldbank.org |
Metadata production
IDNo
DDI_ZWE_2017_ISBS_v01_M
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Development Economics Data Group | DECDG | The World Bank Group | Documentation of the survey |
Production date
2020-02-04
Version
Version 01 (February 2020)