| Value |
Category |
| 1 |
Maize grain |
| 2 |
Maize flour |
| 3 |
Cost to grind 50 kg bag of maize |
| 4 |
Rice |
| 5 |
White bread loaf |
| 6 |
Scone |
| 7 |
Beans |
| 8 |
Cabbage |
| 9 |
Tomatoes |
| 10 |
Banana |
| 11 |
Fresh milk |
| 12 |
Egg |
| 13 |
Chicken |
| 14 |
Dried fish |
| 15 |
Beef |
| 16 |
Tea leaves |
| 17 |
Salt |
| 18 |
Sugar, white |
| 19 |
Cooking oil |
| 20 |
Chips, potato |
| 21 |
Bar soap |
| 22 |
Toothbrush |
| 23 |
Toothpaste |
| 24 |
Clothes soap |
| 25 |
Vaseline |
| 26 |
Aspirin or panadol |
| 27 |
Fansidar |
| 28 |
Chitenje cloth |
| 29 |
Trousers |
| 30 |
Coca-cola |
| 31 |
Carlsberg beer |
| 32 |
Cigarettes, embassy |
| 33 |
Battery (dry cell) for radio |
| 34 |
Watch, digital (simple), plastic |
| 35 |
Firewood |
| 36 |
Charcoal |
| 37 |
Paraffin |
| 38 |
Urea fertilizer |
| 39 |
MH-18 hybrid maize seed |
| 40 |
Hand hoe, without handle |
| 41 |
Panga |
| 42 |
Sickle |
| 43 |
Axe |
| 44 |
Bicycle |
| 45 |
Foam mattress |
| 46 |
Mosquito net |
| 47 |
Ganyu wage, 1 day, adult male |
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.