2010 LIVING CONDITIONS AND MONITORING SURVEY VI

5TH EDITION

The 2010 LCMS collected data on the health status of all persons in Zambia. The health status of a household member directly affects the welfare of the household. Information on health consultations
made and health facilities visited was obtained from all persons who reported being ill two weeks prior to the survey in order to come up with indicators on incidence of illnesses, medication and health
consultations costs.

The following data were collected on the survey:
• Whether the individual had been sick or injured in the two-week period preceding the survey;
• The symptoms or illnesses the individual suffered from;
• Whether a person consulted health institution(s) or personnel for the illness or injury;
• The amount of money spent on medication and/or consultation;
• The source of medication and the amount spent;
• The type of personnel or institution that attended to the person during the period of illness or
injury;
• If a person was admitted at an institution and for how long;
• The mode of payment used to pay for services, and
• Whether a person was unable to carry out normal activities due to illness or injury.

This data set contains variables that relate to the households expenditure in the reference period. The expenditure is split into food and nonfood expenditure. Food expenditure covers expenditure on cereals, legumes, fish, oils, meat etc. while nonfood expenditure covers capital expenditure, education, household maintenance and clothing. This data was compiled at national, provincial, rural/urban and stratum

The data contains data on the nutrition and health status of children under the age of 5 years. The nutrition and health status of a child can be a direct indicator of the wellbeing and poverty status of
the household. It further reflects on the community’s nutritional status and is also widely regarded as an important basic indicator of welfare in an economy. Optimal nutrition is a prerequisite for national
development of any given country as well as improvement of individual welfare. Although problems related to poor nutrition affect the entire population, women and children are especially vulnerable
because of their unique physiology and socio-economic characteristics. Adequate nutrition is critical to children’s growth and development. The period from birth to age 2 is especially important for optimal
all round and balanced growth and health development of the child. Unfortunately, this period is often
marked by macro and micronutrient deficiencies that interfere with optimal growth.

Specific issues discussed in this chapter include child nutrition based on anthropometric measurements,
infant and young child feeding practices, and immunisation.

During the 2010 LCMS, each household on the survey was asked to indicate if it had experienced an incident that negatively affected its household welfare predisposing the household to the increased risk
of poverty. The following were some of the incidents experienced by the households 12 months prior to the survey: Livestock disease, drought, lack of food/inadequate food, crop damage/crop pests, death
of a bread winner, illness, family conflict, lack of financial resources/inadequate resources, job loss/no salary, change in price of agriculture products, change in price of agric. Inputs, crop damage in storage,
victim of crime, house eviction, marital conflict/divorce, etc. It should be noted that various coping strategies employed by households help reveal its vulnerability to poverty.

The data set contains variables that relate to the developmental issues that took place in the community during the reference period. It further discusses the developmental issues that the community may need in the near future. This was compiled by province, rural/urban and stratum (small, medium and largescale)

This data contains variables that determine the households ability to have access to facilities and social amenities. Facilities include; hospitals, market, post office, police, storage facilities etc. This chapter also includes access to clean drinking water, garbage disposal energy and sanitation. This data was compiled at national, provincial and rural/urban and stratum

The data contains variables that relate with agricultural production. The household reports on the agricultural activities that they are involved in such as crop production, fish farming and pastoral. Also included is the area planted, quantity harvested and quantity sold. This data is compiled at national, provincial and rural/urban and stratum.

Ownership of assets is another useful measure when considering changes in household welfare. Not only is it a proxy for ability to consume, but also ownership of productive assets such as farming implements can determine a household's ability to generate further income. The most commonly owned asset was a hoe, with about 81.4 per cent of households reporting ownership in both 2006 and 2010. Other commonly owned assets were mattresses, beds and braziers, which were owned by 71.8 per cent, 71.5 per cent and 65.6 per cent of households in 2010.
Ownership of agricultural machinery and equipment was much more prevalent in rural areas than in urban areas, in particular items such as ploughs, crop sprayers, hammer mills, hoes and axes. For example, while 95.3 per cent of rural households owned a hoe, only 56.5 per cent of urban households owned one.
Furthermore, ownership of livestock was also higher in rural areas. For example, 8 per cent of rural households reported ownership of at least one oxen compared to just 0.8 per cent of urban households.

The data contains variables that that determine the income households recieved from agricultural production. However, its only applicable to households that reported being involved in agricultural production. The households are further asked to find out how much income they raised from the sale of their own agricultural products in the reference period. This was compiled at national, provincial, rural /urban and stratum

The data set contains data only applicable to households that reported being involved in livestock production. The survey further finds out the type of livestock the raised in the reference period and the income they raised from the sale of their livestock and livestock products. This was compiled at national, provincial, rural/urban and stratum

The data contains data that is only applicable to households that reported being involved in livestock production. The survey further finds out the type of livestock the raised in the reference period. Variables used include; type of livestock and quantity of livestock

The data set contains data on the perception of their poverty status. Variables like poor, extremely poor, moderately poor and non-poor are collected. This was compiled at national, provincial, rural urban and stratum