The WMS 2007 is the third Welfare Monitoring Survey in Malawi. The WMS is a followup of the Core Welfare Indicators Questionnaire Survey (CWIQ) that was undertaken by the NSO in 2002.
The objective of the WMS is to provide rapid information on selected core indicators in the population that would enable monitoring changes on a yearly basis. More specifically, the objectives of the WMS are to provide:
- Indicators for monitoring the living conditions of people in the country
- Indicators for monitoring the attainment of the goals of the Malawian Growth and Development Strategy (MGDS) and other development programmes like the Millennium Development Goals (MDGs)
- A regular database for socio-economic research
WMS 2007 is different from other WMS in that the sample size is representative at district level, whereas in the other two WMS the results were representative at national and regional levels only. This is due to the fact that this WMS utilized the resources that were in National Statistics Office at the time of the survey. NSO was conducting the National Census of Agriculture and Livestock at this time and its enumerators were then trained to administer the WMS questionnaire.
Kind of Data
Census/enumeration data [cen]
Unit of Analysis
The WMS covered the following topics:
- Characteristics of household members
- Housing condition and amenities
- Poverty predictors
- Child information: Births and anthropometrical measures, malaria protection, treatment and vaccination
- HIV/AIDS knowledge
National, regional and district level.
Producers and sponsors
National Statistical Office
Government of Malawi
The sample for WMS was drawn with the intention for the results to be representative at district level. WMS sample comprised two samples: the NACAL sample from all districts and an extra district sample to cover non-agricultural or landless households. The reason for this is that the NACAL sample was taken from the population of households with land engaged in agriculture. Hence, non-agricultural households had a zero chance of selection. Thus the extra sample was drawn from this population.
The 2007 WMS results show that out of the about 32,500 households sampled, 29,465 were successfully enumerated, giving an overall response rate of 92%.
It may be observed from the design above that the sample of WMS is not self weighting. A set of household weights has been calculated to obtain unbiased estimates at national, regional and district levels. WMS will provide reliable estimates at the national level, regional level and at district level.
Dates of Data Collection
Data Collection Mode
Supervision is a crucial element in the implementation of the survey. A team of National supervisors was responsible for the overall supervision of the fieldwork, ensuring conformity of data collection and quality control.
The questionnaire was to a large extent similar to the WMS 2005 and WMS 2006 questionnaires, to ascertain that important information on demography, health, education, employment, poverty and child health and nutritional status is comparable between the two surveys. As in the previous WMS’s, electronic scales were used for weighing under five children, while measuring boards were used to get their heights. This anthropometrical information was used to assess the nutritional status of the children in Malawian.
Data processing for the WMS involved:
- Scanning and editing of questionnaires, using Eyes and Hands software
- Consistency checks and data cleaning in SPSS
- Designing tabulation programs in SPSS
- Final table editing in Microsoft Excel
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
National Statistical Office. Malawi Welfare Monitoring Survey (WMS) 2006. Ref. MWI_2006_WMS-R2_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, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.