CGAP Smallholder Household Survey 2015, Building the Evidence Base on the Agricultural and Financial Lives of Smallholder Households
Uganda, 2015
Get Microdata
Reference ID
UGA_2015_SHS_v02_M
Producer(s)
Jamie Anderson
Metadata
Created on
Apr 15, 2016
Last modified
Apr 02, 2018
Page views
138154
Downloads
94435
D19. Monthly minimum amount for household's survival (USH) (D19)
Data file: CGAP Smallholder Household Survey_UGA 2015_Household_Mar18
Overview
Valid:
2870
Invalid:
0
Minimum:
98
Maximum:
15000000
Type:
Discrete
Decimal:
0
Start:
544
End:
551
Width:
8
Range:
98 - 15000000
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 | 128 |
4.5%
|
| 150 | 1 |
0%
|
|
| 1000 | 4 |
0.1%
|
|
| 2000 | 10 |
0.3%
|
|
| 3000 | 8 |
0.3%
|
|
| 4000 | 3 |
0.1%
|
|
| 5000 | 41 |
1.4%
|
|
| 6000 | 2 |
0.1%
|
|
| 7000 | 6 |
0.2%
|
|
| 8000 | 2 |
0.1%
|
|
| 10000 | 140 |
4.9%
|
|
| 12000 | 4 |
0.1%
|
|
| 15000 | 43 |
1.5%
|
|
| 16400 | 1 |
0%
|
|
| 18000 | 1 |
0%
|
|
| 20000 | 211 |
7.4%
|
|
| 21000 | 1 |
0%
|
|
| 25000 | 23 |
0.8%
|
|
| 25600 | 1 |
0%
|
|
| 30000 | 168 |
5.9%
|
|
| 32000 | 1 |
0%
|
|
| 35000 | 5 |
0.2%
|
|
| 36000 | 2 |
0.1%
|
|
| 38000 | 1 |
0%
|
|
| 40000 | 76 |
2.6%
|
|
| 45000 | 2 |
0.1%
|
|
| 46000 | 1 |
0%
|
|
| 47000 | 1 |
0%
|
|
| 50000 | 331 |
11.5%
|
|
| 52000 | 2 |
0.1%
|
|
| 53000 | 1 |
0%
|
|
| 57000 | 1 |
0%
|
|
| 58000 | 1 |
0%
|
|
| 60000 | 85 |
3%
|
|
| 63000 | 1 |
0%
|
|
| 65000 | 1 |
0%
|
|
| 70000 | 55 |
1.9%
|
|
| 75000 | 6 |
0.2%
|
|
| 78000 | 1 |
0%
|
|
| 80000 | 60 |
2.1%
|
|
| 90000 | 27 |
0.9%
|
|
| 90800 | 1 |
0%
|
|
| 93000 | 1 |
0%
|
|
| 95000 | 1 |
0%
|
|
| 100000 | 388 |
13.5%
|
|
| 105000 | 1 |
0%
|
|
| 110000 | 3 |
0.1%
|
|
| 120000 | 27 |
0.9%
|
|
| 125000 | 1 |
0%
|
|
| 130000 | 6 |
0.2%
|
|
| 138000 | 1 |
0%
|
|
| 140000 | 4 |
0.1%
|
|
| 150000 | 202 |
7%
|
|
| 158000 | 1 |
0%
|
|
| 160000 | 2 |
0.1%
|
|
| 170000 | 3 |
0.1%
|
|
| 180000 | 14 |
0.5%
|
|
| 200000 | 246 |
8.6%
|
|
| 210000 | 16 |
0.6%
|
|
| 220000 | 5 |
0.2%
|
|
| 233000 | 1 |
0%
|
|
| 240000 | 11 |
0.4%
|
|
| 250000 | 35 |
1.2%
|
|
| 260000 | 2 |
0.1%
|
|
| 270000 | 3 |
0.1%
|
|
| 280000 | 7 |
0.2%
|
|
| 300000 | 171 |
6%
|
|
| 350000 | 12 |
0.4%
|
|
| 358000 | 1 |
0%
|
|
| 380000 | 1 |
0%
|
|
| 400000 | 43 |
1.5%
|
|
| 420000 | 1 |
0%
|
|
| 450000 | 13 |
0.5%
|
|
| 500000 | 90 |
3.1%
|
|
| 550000 | 2 |
0.1%
|
|
| 600000 | 27 |
0.9%
|
|
| 600005 | 1 |
0%
|
|
| 640000 | 1 |
0%
|
|
| 700000 | 11 |
0.4%
|
|
| 750000 | 3 |
0.1%
|
|
| 800000 | 4 |
0.1%
|
|
| 900000 | 1 |
0%
|
|
| 1000000 | 31 |
1.1%
|
|
| 1500000 | 2 |
0.1%
|
|
| 2000000 | 7 |
0.2%
|
|
| 3000000 | 4 |
0.1%
|
|
| 4500000 | 1 |
0%
|
|
| 10000000 | 1 |
0%
|
|
| 15000000 | 1 |
0%
|
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.