Household Budget Survey 1996

Data from Household Questionnaire Section A "Household Roster", "Dwelling and Amenities".

Data from Household Questionnaire Section B "Income from Employment (Employee)"

Data from Household Questionnaire Section C "Self-Employment"

Data from Household Questionnaire Section E "Other Cash Incomes"

Data from Household Questionnaire Section F "Aid Assistance"

Data from Household Questionnaire Section G "Savings, Assets and Loans"

Data from Household Questionnaire Section H "General Economic Situation"

Data from Household Questionnaire Section I "Land"

Data from Household Questionnaire Section J "Food in Stock"

Data from Household Questionnaire Section K "Expenditure in Last 30 Days"

Data from Household Questionnaire Section L "Emigration"

Data from Household Questionnaire Section M "PAROS Program".

The dataset contains information about number of people, who ate in the household during the last 30 days, guests, and household giving food to friends or relatives. The variables were not labeled because this part of the questionnaire (part Z) is missing in both English and Russian versions.

The dataset contains demographic data of individuals in the household, such as name, sex, age, marital status, special group (disabled, orphan, refugee...)

The dataset contains information on type of industry each employed household member works in, values of subsidies received (if any), salary to which individual was entitled, but not received, if any; and payment received in kind.

The dataset contains information on persons employed in each self-employment activity; basic net income, cost of equipment, cost of reserves of raw material, unsold production, etc.

The dataset contains information on entitlement and receipts of state benefits for each individual such as disability, child benefits, single mother benefits, etc.

The dataset has information on household members who lived and worked abroad; still working or living abroad, and countries where they currently live.

Data collected using the diary method. The number of observations indicate that there are 30 observations representing 30 days for each household. That results in to 30x1,260=37,800 observations.

Household level constructed variables such as total household income, total household expenditure, total amount of land owned by the household, per capita consumption, food line, poverty line, population deciles for the households using total consumption and expenditure levels, etc. as well as whether the household is categorized as "poor" or "very poor" in the poverty analysis.

Individual level aggregates such as total income, age group, various type of state benefits such as pension, disability, child, single mother, unemployment benefits, student stipends, etc.