{"type":"survey","doc_desc":{"title":"KAZ_2015_HBS_v01_M","idno":"DDI_KAZ_2015_HBS_v01_M_WB","producers":[{"name":"Poverty - GP","abbreviation":"GPVDR","affiliation":"The World Bank","role":"Documentation of the study"},{"name":"Development Data Group","abbreviation":"DECDG","affiliation":"The World Bank","role":"Documentation of the study"}],"prod_date":"2016-10-24","version_statement":{"version":"Version 01 (October 2016)"}},"study_desc":{"title_statement":{"idno":"KAZ_2015_HBS_v01_M","title":"Household Budget Survey 2015","alt_title":"HBS 2015"},"authoring_entity":[{"name":"The Agency of Statistics of the Republic of Kazakhstan","affiliation":"SARK"}],"production_statement":{"copyright":"The Agency of Statistics of the Republic of Kazakhstan","funding_agencies":[{"name":"The Agency of Statistics of the Republic of Kazakhstan","abbreviation":"SARK","role":""}]},"distribution_statement":{"depositor":[{"name":"Poverty - GP","abbreviation":"GPVDR","affiliation":"World Bank Group"}]},"series_statement":{"series_name":"Income\/Expenditure\/Household Survey [hh\/ies]","series_info":"Sample Household Surveys conducted by State Statistics in accordance with the annual statistical work plan. Materials surveys provide economic and statistical information about the level and structure of money incomes and expenditures, the role of individual sources in the formation of income, changes in consumer demand, the composition of households, the differentiation of the population in terms of monetary income and others."},"version_statement":{"version":"v01","version_date":"2015","version_notes":"The Household Survey is based on the following principles:\n\n1) Collect data on income and expenditure is carried out on representative-tion at the national and regional levels, sample, randomly constructed probabilistic method and subjected to partial (25 percent) rotation on an annual basis;\n\n2) Information about cash expenses cover a wide classification of goods and services. The survey classification of goods and services produced on the basis of classification of individual consumption by purpose (COICOP), approved by resolution of the Agency of RK of March 27, 2000, No 7, as well as an additional list of goods and services, based on the COICOP (it includes more types of goods and services not included in the COICOP);\n\n3) Data collection to be used in a relatively short period of time. Because of the unstable economic environment, a variety of prices and inflation is difficult to remember their expenditures over a long period, the survey used a regular monthly check-cash expenditure."},"study_info":{"abstract":"The main objectives of sampling household budget survey are:\n \n1) Obtaining representative and reliable economic and statistical information about the level of the population in general and of vulnerable sections in particular it;\n2) Use of data for poverty monitoring;\n3) Establishing an operational data collection and processing with the use of computer equipment and modern technology.","coll_dates":[{"start":"2015","end":"2015","cycle":"Quarterly"}],"nation":[{"name":"Kazakhstan","abbreviation":"KAZ"}],"geog_coverage":"National coverage","geog_unit":"Cities and settlements","data_kind":"Sample survey data [ssd]","notes":"1) The main interview designed to list all household members for demographic characteristics of households, data on housing conditions, ownership of land and appointment of the next visit. Prior to that, a household receives a letter about the upcoming survey, which indicates the date and time of first visit.\n\n 2) Four quarterly interview in April, July and October of this year and in January of next year. Each quarterly interview covers the three previous months and collects information on major expenses and income. At the beginning of the quarter a household receives a register of quarterly expenses, which the interviewer uses an interview during the quarter (FA D005).\n\n 3) Diary account of daily expenses, filled with household within a month of each quarter in accordance with the scheme of rotating groups. To simplify record keeping and diary entry is still divided into two parts. One of the diary is provided to fill the household within 15 days, the second 16 days of the month.","study_scope":"1) The main interview designed to list all household members for demographic characteristics of households, data on housing conditions, ownership of land and appointment of the next visit. Prior to that, a household receives a letter about the upcoming survey, which indicates the date and time of first visit.\n\n 2) Four quarterly interview in April, July and October of this year and in January of next year. Each quarterly interview covers the three previous months and collects information on major expenses and income. At the beginning of the quarter a household receives a register of quarterly expenses, which the interviewer uses an interview during the quarter (FA D005).\n\n 3) Diary account of daily expenses, filled with household within a month of each quarter in accordance with the scheme of rotating groups. To simplify record keeping and diary entry is still divided into two parts. One of the diary is provided to fill the household within 15 days, the second 16 days of the month."},"method":{"data_collection":{"data_collectors":[{"name":"The Agency of Statistics of the Republic of Kazakhstan","abbreviation":"SARK","affiliation":""}],"sampling_procedure":"The sampling of households was created by multi-probabilistic (random) sample. This principle guarantees the independence of the selection of the sample results and avoid deliberate its mistakes. Formation of a sample of households was carried out by the territorial principle-based register (list) of housing facilities, set up following the National Census of the Republic of Kazakhstan. Network representative as to the national and at regional level.\n \nGeneral population was divided into six strata: large, medium and small cities of Almaty, Astana, and the countryside.\n\n- The first stratum includes households of major cities with the number of households over 30 thousand units.\n- The second stratum comprises households with medium-sized cities of households over 10 thousand units, but less than 30 thousand.\n- The third stratum includes households in small towns and townships with the number of households no more than 10 thousand units.\n- The fourth stratum comprises households in Almaty.\n- The fifth stratum includes households of the city of Astana.\n- The sixth stratum includes households of rural settlements.\n\nThe sample size was formed on the basis of the objectives of the survey, the degree of heterogeneity of the population studied in terms of properties and financing. \nThe sample size for each stratum was determined using the following formula:\n\n Ni\n ni =-------*n ,\n N\n\nwhere:\n\nn = 12000\nni - rounded to a multiple of 30,\ni = 1, 2, 3, 4, 5, 6.\n\nAll cities included in the first stratum, Almaty and Astana were selected with a probability equal to unity. Therefore, in the first stratum sample size of households was determined for each of the following formula:\n\n N1j\n n1j =-------* n1,\n N1\nwhere:\n\nN1 - all households first stratum,\nN1j - the number of households of the j-th first stratum,\nn1 - a sample size first stratum,\nn1j - a sample size of the j-th first stratum (values rounded to a multiple of 30)\n\nThe sample medium, small cities and towns by the method of simple random sampling (PSV) using the software package SPSS. All medium-sized cities that are included in the second stratum, located from west to east in the following order:\n1. West Kazakhstan region;\n2. Atyrau region;\n3. Mangystau;\n4. Aktobe region;\n5. Kyzylorda region;\n6. Kostanay;\n7. South Kazakhstan region;\n8. Aqmola;\n9. Karaganda region;\n10. North Kazakhstan region;\n11. Zhambyl;\n12. Pavlodar region;\n13. Almaty region;\n14. East Kazakhstan region.","coll_mode":"Face-to-face [f2f]"}},"data_access":{"dataset_use":{"cit_req":"The use of the datasets must be acknowledged using a citation which would include:\n- the identification of the Primary Investigator (including country name)\n- the full title of the survey and its acronym (when available), and the year(s) of implementation\n- the survey reference number\n- the source and date of download (for datasets disseminated online)\n\nExample:\n\nThe Agency of Statistics of the Republic of Kazakhstan, World Bank. Kazakhstan Household Budget Survey (HBS) 2015, Ref. KAZ_2015_HBS_v01_M. 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