2002-2003 Living Conditions Monitoring Survey

Third Edition

The dataset food crop income contains crop-level records on food crop income reported by agricultural households. The dataset covers national geographic areas and includes household identifiers, location variables (province, district, rural/urban), sampling variables, crop identifiers, and reported income values. Each household may have multiple records corresponding to different food crops. The dataset represents cleaned survey microdata prepared for analysis of food crop income.

The dataset Livestock contains livestock-related income information reported by agricultural households. The dataset includes household identifiers, geographic variables (province, district, rural/urban classification), sampling variables, livestock type identifiers, and income values derived from livestock production and sales. Each household may have multiple records corresponding to different livestock categories. The dataset represents cleaned survey microdata prepared for analysis of livestock income.

The dataset file contains poverty line information used for welfare and poverty analysis. The dataset includes geographic identifiers, rural and urban classifications, and poverty line values applicable to households or individuals depending on analytical requirements. Each record represents a poverty line observation corresponding to a specific geographic or classification category. The dataset represents cleaned survey support data prepared for poverty measurement and analysis.

The dataset contains household and individual identification and basic demographic information collected in Section 1 of the survey questionnaire. The dataset includes household identifiers, geographic variables (province, district, rural/urban classification), and core household composition variables. Each record represents a household and its associated basic characteristics. The dataset represents cleaned survey microdata prepared to support linkage with other thematic datasets.

The dataset file contains household and individual characteristics collected in Section 2 of the survey questionnaire. The dataset includes household identifiers, individual identifiers, geographic variables (province, district, rural/urban classification), and demographic or socio-economic variables relevant to household composition and individual attributes. Each record represents an individual within a household. The dataset represents cleaned survey microdata prepared to support demographic and socio-economic analysis and linkage with other survey modules.

The dataset file Contains health related information collected from individuals within households. The dataset captures data on the prevalence of illness, including the most commonly reported symptoms or illnesses experienced during the reference period. It further documents health seeking behaviour, detailing whether individuals sought consultation, the type of health institution visited, and the category of health personnel consulted. In addition, the dataset includes information on the mode of payment used for consultations and medication, as well as the average amount paid for health services and treatment. Each record represents an individual within a household, and the dataset represents cleaned survey microdata prepared to support analysis of illness patterns, access to health services, and out of pocket health expenditures.

The dataset file contains education related information collected from individuals within households. The dataset captures data on school attendance, including measures used to derive gross and net attendance rates. It further records the type of school currently attended by individuals, as well as the highest level of education attained by the population. In addition, the dataset includes information on individuals who are not attending school, detailing reasons for leaving school early or never attending school. Each record represents an individual within a household, and the dataset constitutes cleaned survey microdata prepared to support analysis of educational participation, attainment, and barriers to schooling.

This dataset provides comprehensive information on the economic activity status of the population, focusing on labour force participation, employment, unemployment, and related income-generating activities. It covers the concepts and definitions underpinning labour statistics, including the economically active population (labour force), labour force participation rate, employment, unemployment, and economic inactivity.

The data identify individuals as employed, unemployed, or inactive based on their activity status during the reference period. For employed persons, the dataset captures employment status (such as paid employee, employer, own-account worker, or contributing family worker), industry of employment, and occupation, allowing for detailed analysis of the structure of employment in the economy.

The dataset further presents labour force participation rates and unemployment rates, disaggregated by key background characteristics, enabling assessment of labour market engagement and joblessness across population groups. Information on informal sector employment is included to capture employment relationships that are not regulated or protected by formal labour arrangements.

In addition, the dataset contains information on secondary jobs, highlighting multiple job holding among employed persons, as well as the proportion of persons who changed jobs and their reasons for changing jobs, which provides insights into labour mobility and job stability. For persons who are currently unemployed or economically inactive, the dataset captures engagement in income generating activities, reflecting livelihood strategies outside formal employment.

This dataset provides detailed information on housing conditions, household amenities, and access to basic facilities, offering insights into the living environment and quality of housing among households. It captures key housing characteristics, including the type of dwelling and the construction materials used for roofs, walls, and floors, which are essential indicators for assessing housing quality and durability.

The dataset further contains information on the tenancy status of dwellings, distinguishing between owner-occupied, rented, and other tenure arrangements. This enables analysis of housing security and tenure patterns across households.

Data on household amenities are comprehensively covered, including sources of drinking water during the wet and dry seasons, reflecting seasonal variations in water access. The dataset also records whether households treat or boil drinking water in both seasons, providing important information for assessing water safety practices.

Energy use within households is captured through variables on sources of lighting energy, sources of cooking energy, and types of cooking devices, supporting analysis of energy access, reliance on traditional versus modern fuels, and potential exposure to indoor air pollution. The dataset also includes information on garbage disposal methods and types of toilet facilities, which are key indicators of environmental sanitation and public health conditions.

The dataset provides information on access to facilities, including the proximity of households to essential facilities, walking time required to reach these facilities, and reasons for not using available facilities. These variables allow assessment of physical accessibility, service utilization constraints, and barriers to accessing basic services.

This dataset provides detailed information on household income and asset ownership, enabling analysis of economic well being and inequality among households. The dataset also captures household ownership of assets, classified by type of asset and sex of household head, providing insights into wealth accumulation, economic security, and gender disparities in asset ownership.

This dataset supports money metric poverty analysis by providing the information required to measure household welfare, construct poverty lines, and estimate poverty indicators. It contains data necessary for the development of consumption aggregates, which form the basis for assessing household living standards.

This dataset provides detailed information on child feeding practices, immunization coverage, and nutritional status, contributing to the assessment of child health and nutrition outcomes. It focuses on feeding behaviours during early childhood, preventive health interventions, and anthropometric outcomes linked to child well being.

The dataset includes information on breastfeeding practices, including current breastfeeding status and the use of supplementary foods or liquids, allowing assessment of adherence to recommended infant and young child feeding practices. Data on the frequency of feeding solid foods are also captured, providing insights into complementary feeding patterns among children.

Information on child immunization is included, covering vaccination status for key childhood vaccines. This supports analysis of immunization coverage and access to preventive health services.

The dataset total expenditure contains household level information on total expenditure. The dataset includes household identifiers, geographic variables (province, district, rural/urban classification), sampling variables, and aggregated expenditure values capturing household consumption. Each record represents a household. The dataset represents cleaned survey microdata prepared for analysis of household expenditure and welfare.

This dataset contains individual level income information. The dataset includes individual identifiers linked to households, geographic variables (province, district, rural/urban classification), and income related variables capturing earnings from different sources. Each record represents an individual within a household. The dataset constitutes cleaned survey microdata prepared for analysis of individual income patterns.