community and household-level income & asset status baseline

Table 1: Survey Enumeration Area and Sample Size
Watershed
Name District
Igomanda
Kabale
Rutenga Kanungu
Rukoro Kisoro
Ntungamo
Nyakisa
Nyakishenyi Rukungiri
No. of
Villages
selected
No. of
households in
watershed
No. of
sampled
households
% Poor
households
%
Better off
households
3 237 49 87.76 12.24
3 63 12 83.33 16.67
3 111 20 95.00 5.00
3 330 62 82.26 17.74
3 336 60 90.00 10.00
Total 15 1077 203
Analysis
Analysis of data was done using two stages, i.e. univariate and multivariate analysis.
The univariate analysis used simple descriptive statistics to examine income and asset levels
and the state of affairs of factors that influence livelihood choices and incomes and asset
status in the area of the study. How these issues have changed will be the basis for evaluation
of the livelihood impact of the SUNAREM project. Total gross income and per capita gross
income were used to assess household income levels in the watersheds. For products
produced by households for example crops and livestock, the income calculations considered
the value of sales and the value of home consumption. For livestock, the changes in
inventory or net capital gains (animals born, or aged into or out of a specific category, died,
slaughtered, stolen, lost, received or given away) were considered. For all selected assets
except land, household asset status was measured in terms of monetary value of the assets.
We use econometric analysis of equations 1) and 2) that are discussed under the
conceptual framework to analyze the determinants of income, asset, income strategies, and
participation in programs and organizations. We use ordinary regression to estimate the
determinants of income and assets and probit models to estimate determinants of major
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