DDI_MWI_2009_WMS-R5_v01_M_WB Development Economics Data Group 2013-03-20 NADA Version 02 (April 2014). Version 01 (March 2013) Welfare Monitoring Survey 2009, Fifth Round WMS-R5 2009 MWI_2009_WMS-R5_v01_M Agriculture Statistics Division NADA Norwegian Government Agriculture Statistics Division Core Welfare Indicators Questionnaire [hh/cwiq] The Welfare Monitoring Survey (WMS) 2009 is the fifth of a series that started in 2005. It is part of the Integrated Household Survey (IHS) programme, an effort by NSO to provide relevant information for monitoring the welfare status of the people of Malawi. The IHS program includes a comprehensive integrated household survey every five years and lighter annual WMSs between the five years. The WMS survey is designed to collect the minimum amount of information necessary for the identification and classification of vulnerable groups of households within the society.WMS5 is the latest in the series of instruments that have been developed to provide policy makers with household and community level information for policy formulation and evaluation. Its questionnaire is purposefully concise and is designed to collect in addition to household's characteristics, information which measures access, utilization and satisfaction with social services. The sampling plan for WMS 2009 is designed to provide indicators at district level. This is in line with the decentralisation program of the Malawi Government. WMS is a follow-up to the Core Welfare Indicators Questionnaire Survey (CWIQ) that was undertaken by the National Statistical Office (NSO) in 2002. Unlike the CWIQ, WMS has been adapted to suit local requirements. The basic objective of WMS is to provide rapid information on selected core indicators in the population that would enable monitoring changes on a yearly basis.The specific objectives are to provide: - Indicators for monitoring living conditions of people in Malawi - Indicators for monitoring progress and attainment of goals outlined in the Malawi Growth and Development Strategy (MGDS) and other development programmes such as the Millennium Development Goals (MDGs) - A regular database for socio-economic research Malawi Like all previous WMSs, the 2009 series collected data from a representative sample at national, regional and district level. - Households - Individuals Sample survey data [ssd] The 2009 WMS focused on the following areas: - Characteristics of household members - Health - Education - Employment - Housing conditions and amenities - Poverty - Child information: Births and anthropometrical measures, vaccination, malaria protection and treatment - Food security - HIV/AIDS WMS 2009 sample frame was the 2006/07 National census of Agriculture and Livestock (NACAL). NACAL contained 25,000 households and 1,660 Enumeration Areas (EAs) across the country, drawn as a two stage design. The WMS 2009 sample consisted of 999 EAs, and 18 households were systematically selected from each EA. Since the EAs were drawn from the NACAL sample frame, there was no listing of the households. More EAs were included in the sample so as to provide estimates at district level. Face-to-face [f2f] A questionnaire was used to collect information about every individual in the households selected for the survey. This was to a large extent similar to other WMSs in order to ascertain information on demography, health, education, employment, poverty, child health and nutritional status comparable between the two WMSs. As in the previous WMSs, electronic scales were used for weighting under five children and measuring boards were used to get children's heights. The anthropometrical information was used to assess nutritional status of children. The sample for 2009 WMS was not self weighting. A set of household weights were calculated to obtain unbiased estimates at national, regional and district levels. Data processing involved: - Editing and scanning questionnaires using Eyes and Hands software - Conducting consistency checks and cleaning data in SPSS - Designing tabulation plans in SPSS - Table editing in Microsoft Excel - Compilation of the report using Microsoft Word Agriculture Statistics Division 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: Agriculture Statistics Division, National Statistical Office of Malawi. Welfare Monitoring Survey (WMS-R5) 2009. Ref. MWI_2009_WMS-R5_v01_M. Dataset downloaded from [url] on [date]. 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.