The 1997 rural survey was designed to determine to what extent rural households in the former homelands had access to land and to income-generating activities. In addition the survey sought to obtain data on actual farming activities. The survey was the first of its kind undertaken by Statistics South Africa.
Kind of Data
Sample survey data
Unit of Analysis
Households and individuals
v1.1: Edited, anonymised dataset for licensed distribution
Version 1.1 is the data received from Statistics South Africa, with variable and value labels added by DataFirst
The survey collected data on access to land, subsistence farming, sources of income, assistance and employment creation. Data was also collected on the relationship between income generation and the size of land, reasons for farming, as well as farm workers, paid and unpaid, unpaid family members working on farms, and workers paid in kind.
The survey had national coverage but only of the former "homeland" areas
The lowest level of geographic aggregation covered by the data is magisterial district
The survey covered households in the former "homelands" of South Africa
Producers and sponsors
Statistics South Africa
The 1996 census sampling frame was used to select EAs for the 1997 Rural Survey but the survey was restricted to the former homeland areas, i.e. Transkei, Bophuthatswana, Venda, and Ciskei (TBVC states); KaNgwane, KwaNdebele, KwaZulu, Gazankulu, Qwaqwa and Lebowa (self governing territories). A total of 600 enumeration areas (EAs) were drawn and 10 households were selected from each EA, yielding a sample of about 6 000 households. Sample selection was carried out independently in each stratum applying a two stage sampling procedure; a systematic sample of EAs followed by a systematic sample of households.Former homelands in six provinces were regarded as natural occurring strata and as a result Western Cape, Northern Cape and Gauteng were not part of the strata.
Since the sample design was not necessarily a self-weighting design, weights had to be used. Two types of weights were calculated, namely, person weights and household weights. Household weights were calculated by using the reciprocal of the product of an EA inclusion probability and a household inclusion probability. Relative scaling was done on the household weight due to the changes in EA sizes in the 1996 census sample frame and to take into account the growth rate of the population from 1996 to 1997. Person weights were calculated by first post-stratifying the data by province (former homeland in a province) gender and 5 year age groups. The 1996 Census population figures were used as benchmarks for the post stratum. Since the target areas were former homelands, which are largely African areas, population group was a factor in the benchmarks.