National Panel Survey 2015-2016
Uganda, 2015 - 2016
Get MicrodataCreated on
Dec 05, 2019
Last modified
Sep 07, 2022
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- Data files
- gsec1
- gsec2
- gsec3
- gsec4
- gsec5
- gsec6_1
- gsec6_3
- gsec8
- gsec9
- gsec10_1
- gsec10_2
- gsec10_3
- gsec11_1
- gsec11_2
- gsec12_1
- gsec12_2
- gsec14
- gsec14b
- gsec15b
- gsec15bb
- gsec15bb_2
- gsec15bb_3
- gsec15c
- gsec15d
- gsec15e
- gsec17_1
- gsec17_2
- gsec17_3
- gsec17_4
- gsec19
- WSEC1A
- WSEC2
- WSEC3
- WSEC4
- WSEC5
- AGSEC1
- AGSEC2A
- AGSEC2AB_1
- AGSEC2B
- AGSEC3A
- AGSEC3A_1
- AGSEC3B
- AGSEC3B_1
- AGSEC4A
- AGSEC4A_1
- AGSEC4B
- AGSEC4B_1
- AGSEC5A
- AGSEC5B
- AGSEC6A
- AGSEC6A_1
- AGSEC6B
- AGSEC6B_1
- AGSEC6C
- AGSEC6C_1
- AGSEC7A1
- AGSEC7B
- AGSEC8A
- AGSEC8B
- AGSEC8C
- AGSEC9A
- AGSEC9B
- AGSEC10
- AGSEC11
- CSEC1A
- CSEC1B
- CSEC2A
- CSEC2B_1
- CSEC2C_1
- CSEC2C_2
- CSEC3A
- CSEC3A_1
- CSEC3B_1
- CSEC3C
- CSEC3D
- CSEC3E
- CSEC3F
- CSEC3G
- CSEC3H
- CSEC3I
- CSEC3J
- CSEC3K
- CSEC3K_1
- CSEC3L_1
- CSEC4A_1
- CSEC4B_1
- CSEC4C
- CSEC4D
- CSEC4D_1
- CSEC4E
- CSEC4F_1
- CSEC4G_1
- CSEC4H
- CSEC4H_1
- CSEC4I_1
- CSEC4J_1
- CSEC4K
- CSEC4K_1
- CSEC4L
- CSEC4M
- CSEC4N
- CSEC4N_1
- CSEC4O
- CSEC4O_2
- CSEC4P_1
- CSEC4Q_1
- CSEC5A
- CSEC5B
- CSEC5C
- CSEC5D
- CSEC5Q_1
- CSEC6A_1
- CSEC6B
- CSEC6C
- CSEC6D
- CSEC6E
- CSEC6F_1
- GSEC16
- pov2015_16
What is [name] (h3q9)
Data file: gsec3
Overview
Valid:
8097
Invalid:
7721
Type:
Discrete
Decimal:
0
Start:
49
End:
50
Width:
2
Range:
11 - 96
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 11 | Acholi | 230 |
2.8%
|
| 12 | Alur | 204 |
2.5%
|
| 13 | Baamba | 3 |
0%
|
| 14 | Babukusu | 0 |
0%
|
| 15 | Babwisi | 0 |
0%
|
| 16 | Bafumbira | 101 |
1.2%
|
| 17 | Baganda | 1345 |
16.6%
|
| 18 | Bagisu | 432 |
5.3%
|
| 19 | Bagungu | 0 |
0%
|
| 20 | Bagwe | 0 |
0%
|
| 21 | Bagwere | 50 |
0.6%
|
| 22 | Bahehe | 0 |
0%
|
| 23 | Bahororo | 15 |
0.2%
|
| 24 | Bakenyi | 35 |
0.4%
|
| 25 | Bakiga | 375 |
4.6%
|
| 26 | Bakhonzo | 167 |
2.1%
|
| 27 | Banyabindi | 0 |
0%
|
| 28 | Banyakole | 847 |
10.5%
|
| 29 | Banyara | 2 |
0%
|
| 30 | Banyarwanda | 92 |
1.1%
|
| 31 | Banyole | 142 |
1.8%
|
| 32 | Banyoro | 271 |
3.3%
|
| 33 | Baruli | 6 |
0.1%
|
| 34 | Basamia | 144 |
1.8%
|
| 35 | Basoga | 678 |
8.4%
|
| 36 | Basongora | 0 |
0%
|
| 37 | Batagwenda | 1 |
0%
|
| 38 | Batoro | 261 |
3.2%
|
| 39 | Batuku | 0 |
0%
|
| 40 | Batwa | 0 |
0%
|
| 41 | Chope | 0 |
0%
|
| 42 | Dodoth | 56 |
0.7%
|
| 43 | Ethur | 22 |
0.3%
|
| 44 | Ik (Teuso) | 1 |
0%
|
| 45 | Iteso | 724 |
8.9%
|
| 47 | Japadhola | 141 |
1.7%
|
| 48 | Jie | 57 |
0.7%
|
| 49 | Jonam | 6 |
0.1%
|
| 50 | Kakwa | 79 |
1%
|
| 51 | Karimojong | 172 |
2.1%
|
| 52 | Kebu | 3 |
0%
|
| 53 | Kuku | 0 |
0%
|
| 54 | Kumam | 35 |
0.4%
|
| 55 | Langi | 833 |
10.3%
|
| 56 | Lendu | 1 |
0%
|
| 57 | Lugbara | 306 |
3.8%
|
| 58 | Madi | 62 |
0.8%
|
| 59 | Mening | 0 |
0%
|
| 60 | Mvuba | 0 |
0%
|
| 61 | Napore | 0 |
0%
|
| 62 | Nubi | 7 |
0.1%
|
| 63 | Nyangia | 0 |
0%
|
| 64 | Pokot | 0 |
0%
|
| 65 | Sabiny | 43 |
0.5%
|
| 66 | So (Tepeth) | 0 |
0%
|
| 67 | Vonoma | 0 |
0%
|
| 69 | Aliba | 2 |
0%
|
| 70 | Aringa | 55 |
0.7%
|
| 71 | Banyabutumbi | 0 |
0%
|
| 72 | Banyaruguru | 0 |
0%
|
| 73 | Barundi | 25 |
0.3%
|
| 74 | Gimara | 12 |
0.1%
|
| 75 | Ngikutio | 0 |
0%
|
| 76 | Reli | 8 |
0.1%
|
| 77 | Shana | 0 |
0%
|
| 96 | Other (Specify) | 46 |
0.6%
|
| Sysmiss | 7721 |
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.