The Household Living Conditions Survey has been carried out annually since 1999 by the State Statistics Service of Ukraine (formerly the State Statistics Committee of Ukraine). The survey is based on generally accepted international standards and depicts social and demographic situation in Ukraine.
From 2002, items of consumer money and aggregate expenditures have been developed in line with the International Classification of Individual Consumption of Goods and Services (COICOP-HBS), recommended by Eurostat.
From 2004, the State Statistics Service of Ukraine has been implementing a new system of household sample survey organization and delivery. A unified interviewer network was established to run simultaneously three household surveys: Household Living Conditions Survey, households' economic activity survey and the survey of household farming in rural areas. A new national territorial probability sampling was introduced to deliver the three sampling surveys in 2004-2008.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
A household is a totality of persons who jointly live in the same residential facilities of part of those, satisfy all their essential needs, jointly keep the house, pool and spend all their money or portion of it. These persons may be relatives by blood, relatives by law or both, or have no kinship relations. A household may consist of one person (Law of Ukraine "On Ukraine National Census of Population," Article 1). As only 0.50% households have members with no kinship relations (0.65% total households if bachelors are excluded), the contemporary concepts "household" and "family" are very close.
The scope of the study includes:
- Housing conditions
- Demographic characteristics household members
- Land and individual farm
- Purchase of food, alcohol and tobacco
- Purchase of food items and fodder for feeding animals and pets
- Expenses for eating out
- Food obtained free of charge
- Expenses for services
- Purchase of durable and semi-durable goods
- Expenses on housing and utilities
- Household income
- Construction and renovation
- State of health of the members of the household
- Availability of durables
- Arrears on wages, pensions, scholarships, housing and utilities
- Self-appraisal of the revenues of the household.
National, except some settlements within the territories suffered from the Chernobyl disaster.
Cities and settlements.
Whole country, all private households. The survey does not cover collective households, foreigners temporarily living in Ukraine as well as the homeless.
Producers and sponsors
State Statistics Committee of Ukraine
State Statistics Committee of Ukraine
12,977 households representing all regions of Ukraine (including 8,975 in urban areas and 4,002 in rural areas) are selected for this survey. Grossing up sample survey results to all households of Ukraine is done by the statistic weighting method.
Building a territorial sample, researchers excluded settlements located in the excluded zone (Zone 1) and unconditional (forced) resettlement zone (Zone 2) within the territories suffered from the Chernobyl disaster.
Computing the number of population subject to surveying, from the number of resident population researchers excluded institutional population - army conscripts, persons in places of confinement, residents of boarding schools and nursing homes, - and marginal population (homeless, etc).
The parent population was stratified so that the sample could adequately represent basic specifics of the administrative and territorial division and ensure more homogeneous household populations. To achieve this objective, the parent population was divided into strata against the regions of Ukraine. In each stratum three smaller substrata were formed: urban settlements (city councils) having 100,000 or more inhabitants (big cities), urban settlements (city councils) having less than 100,000 inhabitants (small towns) and all districts (except city districts), i.e. administrative districts in rural areas. Sample size was distributed among strata and substrata in proportion to their non-institutional resident population.
Detailed information about selecting primary territorial units of sampling (PTUS) and households is available in the document "Household Living Conditions Survey Methodological Comments" (p. 4-7).
10,622 households took part in the 2008 survey (83.3% sampled addresses excluding nonresidential buildings). The response rate of rural households (95.5%) was higher than the similar parameter in urban areas (77.5%).
The highest response rate of the 2008 survey was in Trans-Carpathians (98.4%), Chernivtsi (98.3%), Rivno (97.6%), Sumy (96.3%), Volyn (96.0%), Cherkassy (95.4%), Ternopil and Chernivtsi (95.1% in each) regions, the lowest rate - in Odessa region (59.8%), Kiev City (61.1%) and Donetsk region (63.5%). In most regions this parameter fluctuated from 73.4% to 94.7%.
Statistic weights were designed to incorporate into estimation the parameters of probable inclusion of households into a sample, their actual response rate, harmonization of survey results with external information, in particular with demographic statistics on number and gender-and-age structure of the population, social statistics on number and residence of the institutional population, etc.
Detailed information about weighing methods is available in the document "Household Living Conditions Survey Methodological Comments" (p. 7-10).
Dates of Data Collection
Data Collection Mode
Data Collection Notes
Interviewing of sampled households is done by professional interviewers who are regular employees of regional statistics departments. In big cities, each interviewer surveys 28 households on average, in towns - 21 households and in rural areas - 6 to 7 households.
Survey materials undergo centralized processing by the Department for Household Survey of State Statistics Committee of Ukraine in cooperation with the Division for Household Living conditions Survey of Main Inter-Regional Statistic Department in Kiev City.
State Statistics Committee of Ukraine
The HLCS uses the following survey tools:
1) Main interviews
Main interview questionnaires collect general data on households, such as household composition, housing facilities, availability and use of land plots, cattle and poultry, characteristics of household members: anthropometric data, education, employment status. Interviewing of households takes place at the survey commencement stage. In addition, while interviewing, the interviewer completes a household composition check card to trace any changes during the entire survey period.
2) Observation of household expenditures and incomes
For the observation, two tools are used:
- Weekly diary of current expenditures. It is completed directly by a household twice a quarter. In the diary respondents (households) record all daily expenditures in details (e.g. for purchased foodstuffs - product description, its weight and value, and place of purchase). In addition, a household puts into the diary information on consumption of products produced in private subsidiary farming or received as a gift.
Households are evenly distributed among rotation groups, who complete diaries in different week days of every quarter. Assuming that the two weeks data are intrinsic for the entire quarter, the single time period of data processing (quarter) is formed by means of multiplying diary data by ratio 6.5 (number of weeks in a quarter divided on the number of weeks when diary records were made). Inclusion of foodstuffs for long-time consumption is done based on quarterly interview data.
- Quarterly questionnaire. It is used to interview households in the first month following the reporting quarter. Researchers collect data on large and irregular expenditures, in particular those relating to the purchase of foodstuffs for long-time consumption (e.g. sacks, etc.), and also data on household incomes. Since recalling all incomes and expenditures made in a quarter is uneasy, households make records during a quarter in a special quarterly expenditures log.
The major areas for quarterly observation are the following:
- structure of consumer financial expenditures for goods and services;
- structure of other expenditures (material aid to other households, expenditures for private subsidiary farming, purchase of real estate, construction and major repair of housing facilities and outbuildings, accumulating savings, etc);
- importance of private subsidiary farming for household welfare level (receipt and use of products from private subsidiary farming for own consumption, financial income from sales of such products, etc.);
- structure of income and other financial sources of a household. We separately study the income of every individual household member (remuneration of labor, pension, scholarship, welfare, etc.) and the income in form payments to a household as a whole (subsidies for children, aid of relatives and other persons, income from - sales of real estate and property, housing and utility subsidies, use of savings, etc.).
3) Single-time topical interviews
Single-time topical interviews questionnaires are used quarterly and cover the following topics:
- household expenditures for construction and repair of housing facilities and outbuilding
- availability of durable goods in a household
- assessment by households members of own health and accessibility of selected medical services
- self-assessment by a household of adequacy of its income
- household's access to Internet
State Statatistics Service of Ukraine
The use of the datasets must be acknowledged using a citation which would include:
- the identification of the Primary Investigator (including country name)
- the full title of the survey and its acronym (when available), and the year(s) of implementation
- the survey reference number
- the source and date of download (for datasets disseminated online)
State Statistics Committee of Ukraine. Ukraine Household Living Conditions Survey (HLCS) 2008, Ref. UKR_2008_HLCS_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.