THA_1996_SES_v01_M
Household Socio-Economic Survey 1996
Name | Country code |
---|---|
Thailand | THA |
Socio-Economic/Monitoring Survey [hh/sems]
The primary objective of the survey is to collect information on household income and consumption expenditures, household consumption, changes in assets and liabilities, housing characteristics, as well as ownership of some durable goods.
Sample survey data [ssd]
Households and individuals
The survey covered all private, non-institutional households residing premanently in Municipal Areas, Sanitary Districts and Villages. However, it excluded that part of the population living in transient hotels and rooming houses, boarding schools, military barracks, wats, hospitals, prisons and other such institutions, as well as households of foreign diplomats and other temporary residents.
Topic | Vocabulary | URI |
---|---|---|
consumption/consumer behaviour [1.1] | CESSDA | http://www.nesstar.org/rdf/common |
income, property and investment/saving [1.5] | CESSDA | http://www.nesstar.org/rdf/common |
housing [10.1] | CESSDA | http://www.nesstar.org/rdf/common |
National
Name |
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National Statistical Office |
A stratified two-stage sampling was adopted for the survey. Provinces in all regions were considered srata and types of local administration in each province were sub-strata. The primary and secondary sampling units were blocks for municipal areas and villages for non-municipal areas, and private households, respectively.
Stratification - There were altogether 76 strata (provinces). Each stratum was divided into three parts according to type of local administration, namely, municipal areas, sanitary districts and non-municipal areas outside sanitary districts.
Selection of primary sampling units - In each type of local administration, the sample selection of blocks/villages was performed separately and independently in each part by using probability proportional to size (the total number of households). The total sample blocks/villages was 3,359 from 84,629 blocks/villages.
Selection of secondary sampling units - Private households are the ultimate sampling units. A new listing of households was made for every sample block/village to serve as the sampling frame. A systematic sample of 15 private households was selected from each of the sample blocks, while 9 and 7 private households were selected from each of sample villages in sanitary districts and non-municipal areas outside sanitary districts, respectively. Before selecting sample households, the list of households was rearranged by household size, i.e., the member of the household and type of economic household. The total number of sample private households selected for enumeration was 31,203 households.
Method of estimation - refer to Technical Documents.
Two type of questionnaires were used:
Start | End |
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1996-02 | 1997-01 |
Name |
---|
National Statistical Office |
During the survey period, the supervisors were expected to assist interviewers when problems occurred. Moreover, members of the Central Office Staff conducted periodic visits to the field to review questionable reports and clarify data collection procedures.
The interviewers from the central office and the NSO provincial branch offices were sent out to interview the heads of the sample households or other household members.
All sample households were divided into twelve equally representative sub-samples, and each sub-sample household group was interviewed for a one-month period. All households residing in sample blocks and villages were listed one or two weeks before the scheduled interview period in order to avoid a great time lapse between sample selection and interview. The interview was conducted between February 1996 and January 1997.
Data reference period - During the first two weeks of the interview month, questions were asked about household composition, income of household members, housing facilities, savings and debts, and expenditures for goods and services. Various reference periods were used for collecting income and expenditure data. Data for all goods and services were obtained for the preceding month. In addition, data for items usually purchased infrequently and also for sources of income had been obtained for the past 12 months.
Quality Control - To ensure the highest quality of collected data, each completed interview was subjected to a thorough field edit, followed by a follow-up interview if the information was found to be incomplete or internally inconsistent. Moreover, a household account balance sheet was prepared for each completed interview. This balance compared total money "disbursements" with total money "receipts" for the preceding month. If the account was more than 15 percent out of balance, the interviewer was expected to revisit the household to reconcile the difference.
All annual expenditure and income values were converted to a one-month base by dividing annual values by 12. For 7-day food consumtion, values were multiplied by 4.3, the average number of weeks per month (52 weeks / 12 months = 4.3 weeks/month). Income from farm and non-farm enterprises was calculated on the basis of total annual value of production less operating expenses. From this estimate, the value of products held or withdrawn for household consumption was subtracted to arrive at an estimate of money income.
Every effort was made to minimize errors of all types. Since non-sampling errors are known to be much more serious than sampling errors in this survey in particular, it is not possible to estimate the overall degree of accuracy in the survey results. They must be considered in the light of their reasonableness, and cross checked with data from other sources.
Name |
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National Statistical Office |
Use of the dataset must be acknowledged using a citation which would include:
Example:
Thailand National Statistical Office (TNSO). Thailand Household Socio-Economic Survey 1996. Dataset downloaded from http://web.nso.go.th 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 | URL | |
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Information Services | National Statistical Office | services@nso.go.th | http://web.nso.go.th/ |
DDI_THA_1996_SES_v01_M
Name | Affiliation | Role |
---|---|---|
World Bank | World Bank | Importing datasets |
Fe Vida Dy-Liacco | Accelerated Data Program | Conversion to DDI |
2011-04-14
Version 02_M (May 2011). This version adds information to version 01_M, mostly on Study Description details, dataset relations, category labels, literal/pre/post questions, definitions. File rec03_96 was re-structured.