Welfare Monitoring Survey 1992, Round 1 (WMS1) is the first round of WMS surveys.
Kind of Data
Sample survey data [ssd]
The scope of WMS 1 includes:
- Household characteristics
- Household income and expenditures
- Household assets and amenities owned and available to households
- Land utilization
Producers and sponsors
Kenya National Bureau of Statistics
The NHWMES surveys will be based on the National Sample Survey and Evaluation Programme (NASSEP) Phase III. To monitor poverty and the distribution of its effects among different socio-economic groups in the economy, data should ideally be disaggregated to the community level. However, due to the cost implications and the size of population involved, the national household welfare monitoring and evaluation survey will disaggregate data only to the district level.
Weighting of the data followed the specified method established for Kenya's National Sample Survey and Evaluation Programme (NASSEP III). The basic weights, before adjusting for noninterview, are the reciprocals of the probabilities of selection, which is as follows:
Basic cluster weight='cluster weight' * 'household weight'
'cluster weight'= 1/cluster probability
'household weight'=1/(10/# of households) or (# households/10)
The nonresponse adjustment factor is estimated at the district level as follows:
Nonresponse Adjustment Factor=Cj/Ij
Cj=total number of selected households in the district or (10 times the number of clusters per district)
Ij=Actual number of households in the district which responded *
*Ij is the number of households in the sample used in the analysis (8102)
Final Adjusted Weight=Basic Cluster Weight * Nonresponse Adjustment Factor
Dates of Data Collection
Data Collection Mode
Data Collection Notes
The processing of the data unearthed some major data collection problems. The most important of these was the fact that a very large number of household questionnaires were returned incomplete (one of more forms left blank or missing). This is not permissible since every household must have all four forms. This mistake points to a weakness in training and/or supervision and must be watched very carefully at the next round.
The questionnaire is one of the shortest, yet potentially most useful household survey questionnaires that CBS has produced. It is difficult, however, to know what reliability to place on annual income and expenditure data which is collected from a single interview. A unique opportunity to test this presents itself however this year due to the fact that the Urban Household Budget Survey and the WMS will both be conducted in the same clusters at the same time.
Data entry errors of the following types were found in the analysis of data:
- Incomplete data: missing records, missing variables
- Coded variables with illegal codes
- Continuous variables out of range
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
Disclaimer and copyrights
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.
(c) 2005 Kenya National Bureau of Statistics
DDI Document ID
Development Economics Data Group
The World Bank
Documentation of the DDI
Date of Metadata Production
DDI Document version
Version 01 (October 2013)
Adapted from KEN-KNBS-WMS1-1992-V01. Study reference changed to comply with World Bank referencing system, and additions made to Weighting, Questionnaire and 'Notes on Data Collection' fields using available technical documentation.