Micro and Small Enterprises 1999
Kenya, 1999
Get MicrodataIdentification
KEN_1999_MSE_v01_M
Micro and Small Enterprises 1999
| Name | Country code |
|---|---|
| Kenya | KEN |
Enterprise Survey [en/oth]
The first national baseline survey of MSEs in Kenya was conducted in October 1993. This survey was followed by a second MSE baseline survey carried out in May 1995.
In 1999, the International Center for Economic Growth (ICEG) organised a national baseline survey of micro and small enterprises in Kenya, in collaboration with the Central Bureau of Statistics (CBS) and K-Rep Holdings Limited. The survey was conducted from March 1999 through October 1999. The primary objectives of the survey were two-fold: First, to update and expand on the information generated in the 1993 and 1995 surveys. And second, to improve the reliability of estimates on the MSE sectors contribution to the Kenyan economy in terms of employment incomes, and gross domestic product.
The first specific objective of the study was to measure the size and magnitude of the sector by estimating the total number of micro and small enterprises in the country. Estimates of the overall magnitude of the MSE sector become critical in analyzing the structure of the MSE sector in Kenya in order to understand the various distribution aspects of type of activity, rural-urban distribution, enterprise size and gender composition. This information is important for the appropriate design of policy instruments as well as in targeting various support interventions for the sector.
In addition, the survey assesses the contribution of the sector to income and analyses production dynamics through an estimation of wages, entrepreneurs income value added and accounts by activity size, gender distribution etc. This assessment is particularly useful considering the prominent role attributed to the sector in terms of income generation for the poor (poverty alleviation). The measurement of value added should establish the extent to which the sector generates profits for re-investment, while an estimation of wages informs about the cost of labour, and by implication, the sector's competitiveness.
The 1999 survey also assesses the overall size and contribution of the MSE sector to the national economy by conducting a macroeconomic estimation of the total labour force and contribution to GDP. The survey analyses issues of entrepreneurship and business characteristics in the context of demand and supply of business support services including credit, infrastructure (water, electricity, roads and telephone), training, and technology Finally, the 1999 survey assesses business constraints, business entry and closures and conclusions.
Sample survey data [ssd]
Households Indviduals within Households Community
Version
2013-02-14
Scope
- Basic household particulars
- Business particulars
- Employment particulars
- Training and skills development
- Business expenditure
- Business income and seasonal variations
- Business organization and marketing
- Access to infrastructure
- Capital and technology
- Business credit and constraints
- Closed enterprises
Coverage
The survey covered all the districts in Kenya. The data representativeness are at the following levels -National -Urban/Rural -Provincial -District
Producers and sponsors
| Name | Affiliation |
|---|---|
| Kenya National Bureau of Statistics | Ministry of State for Planning |
| Name | Role |
|---|---|
| Government of Kenya | Funding of Operational Cost |
| United States Agency for International Developmant | Contributed to Basket Fund |
| International Center for Economic Growth | Contributed to Basket Fund |
| K-Rep Holdings Ltd | Contributed to Basket Fund |
| United Nations Development Programme | Contributed to Basket Fund |
| Department for International Development | Contributed to Basket Fund |
Sampling
The usual sampling procedure m Kenya consists of a randomized selection of clusters corresponding to enumeration areas (or a division of them) within the master sample with a probability equivalent to the size m number of households in the selected clusters all households are interviewed The sample for the 1999 survey was based on the National Sample Survey and Evaluation Programme (NASSEP) III sampling frame of the Central Bureau of Statistics developed from the 1989 Population and Housing Census The NASSEP III sampling frame is a two-stage stratified cluster sample design with individual districts forming the strata.
In the creation of the NASSEP I11 sampling frame the first stage of sampling involved selection of enumeration areas (EAs) from the 1989 population census within the stratum forming the primary sampling units (PSUs) This master sample corresponds to the task of one single enumerator during the population census For sampling purposes the EAs are split into several clusters of approximately 100 households The master sample is made of 1,300 clusters and the 146 selected clusters for the 1999 National MSE Baseline Survey represent 11 2% of the master sample.
While planning for the sample selection for the 1999 survey consideration was given to combining the features of the previous two surveys (see Annex V) with provisions for possible modification to formulate a sampling scheme that would provide accurate estimates of the characteristics of the MSEs in the country. From the objectives of this survey it was expected that the clusters covered in the 1993 MSE survey would be included (for follow up purposes) as well as the industrial and commercial areas of the major towns for a more appropriate coverage of small and medium enterprises However it was finally decided not to follow these orientations because sample selection would not then meet the statistical requirements of randomization it was then decided to do a fresh random sample to avoid problems of coherence aggregation at national level and respondent fatigue.
Usually the selection of clusters (or EAs) is based on a preliminary stratification to distinguish the several strata m the country The need for stratification arises from the &verse economic and demographic characteristics in the various parts of the country The grouping of identical units into one stratum results in a homogeneous set, the strata differing from each other as much as possible This results in increased precision of the estimates of the characteristics of the population as the variance is substantially reduced.
Data collection
| Start | End |
|---|---|
| 1999-03 | 1999-10 |
| Start date | End date |
|---|---|
| 1999 | 1999 |
| Name | Affiliation |
|---|---|
| Kenya National Bureau of Statistics | Ministry of Planning, National Development and Vision 2030 |
Data processing
The 1999 survey questionnaire collected information on revenue, value added and income by reconstituting simplified accounts for the enterprise, in conformity with the System of National Accounts (SNA). Recording expenditures in parallel with revenues and income opens the door to the possibility for cross-checking of responses in the field as well as once the questionnaire is being supervised or at data entry where purchases of raw materials or goods cannot exceed the revenues unless stocks at end of year are much higher than at start. Furthermore extreme values for revenues and incomes were thoroughly examined during data cleaning and appropriately corrected for by returning to the questionnaire and confronting the responses to other information given by the respondent (in particular responses to total sales net income and normal returns in section 7 of the questionnaire giving room to comparisons between indirect and direct responses which proved to be under-estimated by a factor 2 in Tunisian surveys for example) In addition, the reference to standard deviation and median values has been made as often as possible in the report.
Access policy
Kenya NADA
Kenya NADA
http://statistics.knbs.or.ke/nada/index.php/catalog/53
Cost: None
Data Access
| Name | Affiliation | URL | |
|---|---|---|---|
| Kenya National Bureau of Statistics | Ministry of Planning, National Development and Vision 2030 | www.knbs.or.ke | directorgeneral@knbs.or.ke |
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,
Kenya National Bureau of Statistics, Ministry of State for Planning. Kenya Micro and Small Enterprises (MSE) 1999, Ref. KEN_1999_MSE_v01_M. Dataset downloaded from [url] on [date].
Disclaimer and copyrights
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.
(c) 2013, Kenya National Bureau of Statistics
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Director General | KNBS | directorgeneral@knbs.or.ke | www.knbs.or.ke |
Metadata production
DDI_KEN_1999_MSE_v01_M
| Name | Affiliation | Role |
|---|---|---|
| Kenya National Bureau of Statistics | Ministry of Planning, National Development and Vision 2030 | Documentation of the Study |
2007-12-03
Metadata version
Version 02 (August 2016). Edited version based on Version 01 DDI (DDI-KEN-KNBS-MSE-1999-v01) that was done by Kenya National Bureau of Statistics.