CGAP Smallholder Household Survey 2016, Building the Evidence Base on the Agricultural and Financial Lives of Smallholder Households
Tanzania, 2016
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Dec 05, 2019
Last modified
Dec 05, 2019
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D19. Monthly minimum amount for household's survival (TSH) (D19)
Data file: CGAP Smallholder Household Survey_TZA 2015_Household_19 May 16
Overview
Valid:
2959
Invalid:
34
Minimum:
5000
Maximum:
1000000
Type:
Discrete
Decimal:
0
Start:
633
End:
639
Width:
7
Range:
98 - 1000000
Format:
Numeric
Questions and instructions
Literal question
What is the minimum amount your household needs to survive per month (for personal expenses)? I am talking about the amount that will cover just your basic needs for food, transport, cooking fuel, and clothes.
SINGLE ANSWER._______________ (98 for Don't know)
SINGLE ANSWER._______________ (98 for Don't know)
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 98 | Don’t know | 0 |
0%
|
| 5000 | 12 |
0.4%
|
|
| 6000 | 3 |
0.1%
|
|
| 6600 | 1 |
0%
|
|
| 8000 | 1 |
0%
|
|
| 10000 | 68 |
2.3%
|
|
| 12000 | 3 |
0.1%
|
|
| 15000 | 51 |
1.7%
|
|
| 16000 | 1 |
0%
|
|
| 17000 | 1 |
0%
|
|
| 18000 | 2 |
0.1%
|
|
| 19000 | 1 |
0%
|
|
| 20000 | 141 |
4.8%
|
|
| 21000 | 1 |
0%
|
|
| 25000 | 22 |
0.7%
|
|
| 28000 | 1 |
0%
|
|
| 30000 | 225 |
7.6%
|
|
| 32000 | 1 |
0%
|
|
| 35000 | 17 |
0.6%
|
|
| 36000 | 1 |
0%
|
|
| 40000 | 91 |
3.1%
|
|
| 45000 | 15 |
0.5%
|
|
| 50000 | 408 |
13.8%
|
|
| 55000 | 7 |
0.2%
|
|
| 56000 | 1 |
0%
|
|
| 58000 | 1 |
0%
|
|
| 59000 | 1 |
0%
|
|
| 60000 | 119 |
4%
|
|
| 62000 | 1 |
0%
|
|
| 63000 | 1 |
0%
|
|
| 65000 | 5 |
0.2%
|
|
| 70000 | 65 |
2.2%
|
|
| 72000 | 1 |
0%
|
|
| 75000 | 4 |
0.1%
|
|
| 80000 | 81 |
2.7%
|
|
| 85000 | 4 |
0.1%
|
|
| 90000 | 56 |
1.9%
|
|
| 95000 | 1 |
0%
|
|
| 96600 | 1 |
0%
|
|
| 100000 | 467 |
15.8%
|
|
| 105000 | 1 |
0%
|
|
| 110000 | 1 |
0%
|
|
| 113000 | 1 |
0%
|
|
| 120000 | 58 |
2%
|
|
| 125000 | 1 |
0%
|
|
| 130000 | 11 |
0.4%
|
|
| 135000 | 1 |
0%
|
|
| 140000 | 3 |
0.1%
|
|
| 150000 | 294 |
9.9%
|
|
| 156000 | 2 |
0.1%
|
|
| 160000 | 5 |
0.2%
|
|
| 170000 | 1 |
0%
|
|
| 180000 | 15 |
0.5%
|
|
| 190000 | 1 |
0%
|
|
| 200000 | 232 |
7.8%
|
|
| 200008 | 1 |
0%
|
|
| 210000 | 6 |
0.2%
|
|
| 220000 | 2 |
0.1%
|
|
| 230000 | 1 |
0%
|
|
| 240000 | 11 |
0.4%
|
|
| 250000 | 45 |
1.5%
|
|
| 260000 | 2 |
0.1%
|
|
| 270000 | 2 |
0.1%
|
|
| 280000 | 2 |
0.1%
|
|
| 300000 | 227 |
7.7%
|
|
| 320000 | 1 |
0%
|
|
| 330000 | 1 |
0%
|
|
| 350000 | 9 |
0.3%
|
|
| 390000 | 1 |
0%
|
|
| 400000 | 36 |
1.2%
|
|
| 400008 | 1 |
0%
|
|
| 450000 | 14 |
0.5%
|
|
| 500000 | 53 |
1.8%
|
|
| 500008 | 1 |
0%
|
|
| 560000 | 1 |
0%
|
|
| 600000 | 15 |
0.5%
|
|
| 700000 | 4 |
0.1%
|
|
| 800000 | 4 |
0.1%
|
|
| 900000 | 2 |
0.1%
|
|
| 1000000 | 7 |
0.2%
|
|
| Sysmiss | 34 |
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.