6
TO O L 4
p O V e r T y- F O r e s T s L i n K a g e s T O O L K i T
Poor Women
Cash Column 1
Column 2
Cash + non-cash %
Non-Cash Column 3
Column 4
Column 5
Column 6
Column 7
Forest Products
14
6.86
7
44
22.44
22
29
Farm produce
75
36.75
37
56
28.56
29
66
Livestock
0
0
0
0
0
0
0
Other Cash
11
5.39
5
-
-
-
5
Totals (%)
100
49.00
49
100
51.00
51
100
PIE CHART FROM STEP 1 IN BUSONGO, TANZANIA POOR WOMEN, CASH
Other Sources 11%
4. For example, suppose gives: TANZANIA PIE CHART FROM STEP 1the IN chart BUSONGO, POOR WOMEN, CASH AND Forest products 14% NON-CASHS x 3.6 = 50 degrees Farm produce 40% x 3.6 Livestock 35% Cash x 3.6 Other Other cash sources 11% x 3.6 5%100% TOTALS
= = = =
144 degrees 126 degrees 40 degrees 360 degrees
Forest Products 14%
75% Farm Produce
PIE CHART FROM STEP 2 IN BUSONGO, TANZANIA POOR WOMEN, NON-CASH
Forest Products 44%
56%
Farm Produce
A third step asks participants to divideForest their piles of stones Products 29% into two which represent, by their size, the relative weighting of cash and subsistence components in their annual income. In the case of the Busongo ‘poor women’ group, this came to 49% from cash, and 51% from subsistence items. 66% Combining results from the three steps Farm Produce Using these weightings, the two pie-charts representing the cash and subsistence components of the income can be combined into a single final pie-chart which represents the contribution (cash and subsistence) of forests, agriculture, livestock, and cash–income to the total annual livelihood. The way to make this calculation (using no more than a calculator) follows below. Column 1—shows the original cash figures from Tool 4 Step 1. Column 4—shows the original non-cash figures from Tool 4 Step 2. Columns 2 and 5—From Tool 4 Step 3 we discovered that in the case of the poor women’s group from Busongo, the cash contribution to the year’s income was about 49%, and the non-cash contribution is 51%. Write these figures in at the bottom of these columns.