GEO_2011_WMS_v01_M
Welfare Monitoring Survey 2011
Name | Country code |
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Georgia | GEO |
Income/Expenditure/Household Survey [hh/ies]
In 2009 United Nations Children's Fund (UNICEF) commissioned a nation-wide panel survey to measure the impact of the financial crisis on Georgian children and their families. The first round of the survey, conducted during May-July, explored core welfare indicators of households, including incomes, consumption, employment and livelihoods, housing, material and subjective well-being and access to utilities, social services and benefits. It also explored the strategies that households resort to in order to mitigate the risks posed by negative global developments.
Welfare Monitoring Survey (WMS) is a two stage survey. The first survey (Wave 1) was completed in 2009. Wave 2, almost identical in design to the first survey, was carried out in 2011. It covers a nationally representative sample of 4147 households across Georgia who had taken part in Wave one. Prompted by the potential risk of deterioration of children's conditions in Georgia as a result of the crisis, UNICEF commissioned a nation-wide panel - Welfare Monitoring Survey in order to measure the impact of the global economic crisis on the welfare of the population of Georgia.
The primary objectives of the survey are to provide an in-depth understanding of how the crisis impacts on Georgian children and their families and to inform policy decision-making process by identifying key priority challenges that require immediate policy responses. For this purpose the survey explores the dynamics of core welfare indicators of households. It also explores the strategies that the households resort to in order to mitigate the risks posed by the negative global developments.
The aim of the WMS 2011 was to interview the same "well-informed respondent" in each household who had participated in the 2009 survey. The longitudinal dataset enables analysis of changes in household and personal circumstances over a two year period. Fieldwork began on 20th of June 2011 and finished on 30th of July 2011. It was carried out by 84 interviewers, with regional supervisors, all across Georgia.
This is the second round of the Welfare Monitoring Survey (WMS). WMS is a biennial longitudinal household survey covering all the government-controlled regions of Georgia.
Sample survey data [ssd]
Version 01
2011
The scope of the study includes:
The survey covers the whole country of Georgia excluding territories outside the Georgian Government's control.
Cities and settlements
Name |
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United Nations Children's Fund |
Social Policy Research Unit of the University of York |
The sampling strategy targeted the 4808 households in which face-to-face interviews had been completed in 2009. Successful interviews were held with respondents from 4147 households, an 86 per cent response rate.
A household weighting variable was provided by the survey research company for use with the complete set of 4147 households in the sample. This was based on the weights used in the 2009 survey, as stratified by region and type of location.
Two types of survey tools, were used: a) a structured questionnaire for a face-to-face interview and b) a diary questionnaire to be completed by households in the week following the face-to-face interviews.
The questionnaires explore different dimensions of well-being of the Georgian population, incorporating questions about household assets, income and consumption, employment and livelihoods, food security, access to health, education and social services and household coping strategies.
Start | End |
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2011 | 2011 |
Name | Affiliation |
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Poverty -GP | World Bank |
The use of the datasets must be acknowledged using a citation which would include:
Example:
United Nations Children's Fund, Social Policy Research Unit of the University of York. Georgia Welfare Monitoring Survey (WMS) 2011, Ref. GEO_2011_WMS_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.
Name | Affiliation | |
---|---|---|
Cesar Cancho | World Bank | ccancho@worldbank.org |
ECA Team for Statistical Development | World Bank | ecatsd@worldbank.org |