Uganda National Panel Survey 2018-2019
Uganda, 2018 - 2019
Get Microdata
Reference ID
UGA_2018_UNPS_v02_M
Producer(s)
Uganda Bureau of Statisitcs
Collection(s)
Metadata
Created on
Oct 14, 2020
Last modified
Oct 10, 2024
Page views
220155
Downloads
12453
- Data files
- AGSEC1
- AGSEC2A
- AGSEC2B
- AGSEC3A
- AGSEC3B
- AGSEC4A
- AGSEC4B
- AGSEC5A
- AGSEC5B
- AGSEC6A
- AGSEC6B
- AGSEC6C
- AGSEC8A
- AGSEC8B
- AGSEC8C
- AGSEC9A
- AGSEC9B
- AGSEC10
- AGSEC11
- CSEC1A
- CSEC1B
- CSEC1C
- CSEC2
- CSEC2A
- CSEC2B
- CSEC2C
- CSEC2C_0
- CSEC3A
- CSEC3B
- CSEC3C
- CSEC3D
- CSEC3E
- CSEC3F
- CSEC3G
- CSEC3H
- CSEC3I
- CSEC3J
- CSEC3K
- CSEC3L
- CSEC3M
- CSEC3_0
- CSEC4A
- CSEC4B
- CSEC4C
- CSEC4D
- CSEC4F
- CSEC4G
- CSEC4H_1
- CSEC4I
- CSEC4J
- CSEC4K
- CSEC4L
- CSEC4M
- CSEC4N
- CSEC4O
- CSEC4P
- CSEC4Q
- CSEC4R
- CSEC5ABC
- CSEC5D
- CSEC5E
- CSEC5_0
- CSEC6A
- CSEC6B
- CSEC6C_0
- CSEC6C_1
- CSEC6D
- CSEC6E
- CSEC11_0
- CSEC11_1
- GSEC1
- GSEC2
- GSEC2B
- GSEC4
- GSEC5
- GSEC6_1
- GSEC6_2
- GSEC6_3
- GSEC6_4
- GSEC6_5
- GSEC6_6
- GSEC7_1
- GSEC7_2
- GSEC7_4
- GSEC8
- GSEC9
- GSEC10_1
- GSEC10_3
- GSEC12_1
- GSEC12_2
- GSEC14
- GSEC15A
- GSEC15B
- GSEC15B_2
- GSEC15C
- GSEC15D
- GSEC15E
- GSEC16
- GSEC19
- pov2018_19
- WSEC1A
- WSEC2
- WSEC3
- WSEC4
- WSEC5
- WSEC6
- WSEC7
- WSEC8
1. What is the household’s most important source of earnings during last 12 mont (s11q01)
Data file: GSEC7_1
Overview
Valid:
3173
Invalid:
0
Minimum:
1
Maximum:
96
Type:
Discrete
Decimal:
2
Width:
6
Range:
1 - 96
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Subsistence farming | 1458 |
46%
|
| 2 | Commercial farming | 71 |
2.2%
|
| 3 | Wage employment | 669 |
21.1%
|
| 4 | Non-agricultural enterprises | 658 |
20.7%
|
| 5 | Property income | 54 |
1.7%
|
| 6 | Transfers (pension, allowances, social security benefits,) | 17 |
0.5%
|
| 7 | Remittances | 232 |
7.3%
|
| 8 | Organizational support (e.g. food aid, WFP, NGOs etc) | 0 |
0%
|
| 96 | Other (specify) | 14 |
0.4%
|
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.