WEALTH RANKING : Mozambique1
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In June 1996 ALCOM undertook a pilot
smallholder The outputs expected from the survey include a detailed catalogue of the interrelatiosnships of farming activities including their nutritional and economic contribution to the family budget. Compilation of data is now proceeding and preliminary results are expected soon. An important prerequisite before carrying out the survey was to have appropriate information regarding the size of the population residing in the area. However, due to the long period of civil strife in Mozambique, reliable census information was difficult to obtain. Fortunately
it was discovered that most community leaders had not relied on government services to
keep abreast of developments in their own communities. For the purpose of their own good
administration, they had kept track of household births and deaths as well as new entrants
and departures from their respective villages. The information nearly always contained the
name, age and sex of the head of household. In most cases it was possible to know whether
or not a family practised fish farming. After explaining the objectives of the small
holder farming survey, village leaders freely shared this information with ALCOM. |
knew a large number of the households, were asked to participate in a wealth ranking exercise. These individuals were asked to sort the names contained in the census lists into as many wealth categories as they wished. After all the informants had completed the exercise, the wealth categories of each of the informants were sorted into four categories. Figure 1 shows the results of this ranking with category 1 representing the most affluent group, category 4 the poorest members of the community, and categories 3 and 4 intermediate levels of wealth.
Wealth ranking results comparing female (Female HH) versus male (Male HH) headed household are presented in Figure 2. From the total of 687 households inventoried, over 17% were said to be de-jure female headed households. The figure shows no female headed households are in the richest category, and a significantly larger proportion of female headed households are classified in the poorest income category. |
practising
fish farming improve their scores over time. Their progress can then be compared with
those who do not practise fish farming. This information may also be used for targeting
households and for ascertaining if fish farming is spreading amongst the poorer segments
of the society. |
Table 1: Gender distribution of fish farmers by wealth category |
perception of wealth and poverty and quantifiable survey results, the method could be used to assist planners, institutions and target groups in:
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Table 1 presents the percentage of female and male headed households in each wealth category practising fish farming. It appears as though poorer female headed households have a greater tendency to adopt |
fish
farming. However, because the sample is very small, it is premature to draw any
conclusions at this time. Although female headed fish farming families represented only 11
% of the total, it seems that many of them only started fish farming in the past nine
months. It is hoped that the smallholder farmer survey will be able to compare the various
household types in a more detailed manner. |