National Manpower Survey 2016, Kampala Informal Sector Survey
Uganda, 2016
Get MicrodataIdentification
UGA_2016_NMPS-ISS_v01_M
National Manpower Survey 2016
Kampala Informal Sector Survey
| Name | Country code |
|---|---|
| Uganda | UGA |
Other Household Survey [hh/oth]
Sample survey data [ssd]
Household
Individual
Household based enterprises
Scope
The survey covers the following themes:
- Staff Details And Survey Time
- General Personal Information On Employer
- Previous Working Experience
- Establishment Information
- Workload / Business Operations
- Employee Characteristics And Vacant Posts
- Capital / Revenue
- Assets
- Labour
- Market Access
- Sale And Purchase Values (Values In Last 7 Days)
- Challenges Of Business Expansion
- Registratation Status
Coverage
Greater Kampala
District
The survey targeted households with enterprise and non-household enterprise identified within the enumeration areas. These were identified during a listing operation undertaken prior to the start of the survey.
Producers and sponsors
| Name |
|---|
| World Bank |
| Name |
|---|
| UK Aid, Department of International Development (DFID) |
Sampling
The survey interviewed 2,243 informal businesses, randomly drawn based on a two-stage stratified sample.
The sampling frame used for informal sector 2016 is the frame for the Uganda Population and Housing Census which was conducted on August 2014 (PHC 2014), provided by the Uganda Bureau of Statistics (UBOS). The sampling frame is a complete list of census Enumeration Areas (EA) created for the census covering the whole country, consisting of 80182 EAs. An EA is a natural village in rural areas and a city block in urban areas. Uganda is divided into 112 administrative districts, each districts is sub-divided into subdistricts, and each sub-district into parish, and each parish into villages. The frame file contains the administrative belongings for each EA and number of households at the time of the census. Each EA has also a designated residence type, urban or rural. Following are the definition of the geo-regions and the study domains.
The sample for the Uganda informal sector survey is designed to provide indicator such as employment, gross output estimates for the greater Kampala. In order to increase the efficiency of the sample design, the sampling frame will be divided into three strata which are as homogeneous as possible. The first level of stratification generally corresponds to the geographic domains of analysis that is Kampala, Wakiso and Mukono.
For more details on Sampling Procedure and Sample Allocation, Sample size determination, please refer to the Methodology document provided under the Related Materials tab.
Data collection
| Start | End |
|---|---|
| 2016-10-12 | 2016-12-18 |
Data Access
Citation requirement is the way that the dataset should be referenced when cited in any publication. Every dataset should have a citation requirement. This will guarantee that the data producer gets proper credit, and that analytical results can be linked to the proper version of the dataset. The Access Policy should explicitly mention the obligation to comply with the citation requirement. The citation should include at least the primary investigator, the name and abbreviation of the dataset, the reference year, and the version number. Include also a website where the data or information on the data is made available by the official data depositor.
Example:
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
World Bank. Uganda National Manpower Survey 2016 - Kampala Informal Sector Survey (UNMPS-ISS 2016). Ref. UGA_2016_NMPS-ISS_v01_M. Downloaded from [uri] on [date].
Contacts
| Name | URL |
|---|---|
| World Bank Microdata Library | microdata.worldbank.org |
Metadata production
DDI_UGA_2016_NMPS-ISS_v01_M_WB
| Name | Affiliation | Role |
|---|---|---|
| Development Economics Data Group | The World Bank | Documentation of the DDI |
2018-09-10
Metadata version
Version 01 (September 2018)