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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / UGA_2013-2014_NPS-W4_V01_EN_M_V01_A_OCS / variable [V2128]
agricultural-surveys

National Panel Survey 2013-2014

Uganda, 2013 - 2014
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Reference ID
UGA_2013-2014_NPS-W4_v01_EN_M_v01_A_OCS
Producer(s)
Uganda Bureau of Statistics
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Sep 11, 2020
Last modified
Nov 08, 2022
Page views
90868
Downloads
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  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • GSEC1
  • GSEC2
  • GSEC3
  • GSEC4
  • GSEC5
  • GSEC6_1
  • GSEC6_2
  • GSEC6_3
  • GSEC8_1
  • GSEC9_1
  • GSEC9_2
  • GSEC10_1
  • GSEC10_2
  • GSEC10_3
  • GSEC11A
  • GSEC11B
  • GSEC12_1
  • GSEC14A
  • GSEC14B
  • GSEC15
  • GSEC15B
  • GSEC15BB
  • GSEC15BB_2
  • GSEC15BB_3
  • GSEC15C
  • GSEC15D
  • GSEC15E
  • GSEC16
  • GSEC17_1
  • GSEC17_2
  • GSEC17_3
  • GSEC17_4
  • GSEC19
  • WSEC1A
  • WSEC2
  • WSEC3
  • WSEC4
  • WSEC5
  • AGSEC1
  • AGSEC2A
  • AGSEC2B
  • AGSEC3A
  • AGSEC3B
  • AGSEC4A
  • AGSEC4B
  • AGSEC5A
  • AGSEC5B
  • AGSEC6A
  • AGSEC6A_1
  • AGSEC6B
  • AGSEC6B_1
  • AGSEC6C
  • AGSEC6C_1
  • AGSEC7
  • AGSEC8A
  • AGSEC8B
  • AGSEC8C
  • AGSEC9
  • AGSEC9A
  • AGSEC10
  • AGSEC11
  • CSEC1A
  • CSEC2A
  • CSEC2B
  • CSEC2C
  • CSEC2C_1
  • CSEC3
  • CSEC3A
  • CSEC3B
  • CSEC3C
  • CSEC3D
  • CSEC3E
  • CSEC3F
  • CSEC3G
  • CSEC3H
  • CSEC3I
  • CSEC3J
  • CSEC3K
  • CSEC3K_1
  • CSEC3L
  • CSEC4A
  • CSEC4B
  • CSEC4C
  • CSEC4D
  • CSEC4D_1
  • CSEC4E
  • CSEC4F
  • CSEC4G
  • CSEC4H
  • CSEC4H_1
  • CSEC4I
  • CSEC4J
  • CSEC4K_1
  • CSEC4L
  • CSEC4M.1
  • CSEC4N
  • CSEC4O
  • CSEC4P
  • CSEC4Q
  • CSEC4R
  • CSEC5
  • CSEC5A
  • CSEC5B
  • CSEC5C
  • CSEC5D
  • CSEC5E
  • CSEC6A
  • CSEC6B
  • CSEC6C
  • CSEC6D
  • CSEC6E
  • UNPS 2013-14
    Consumption
    Aggregate
  • gsec12

What is [NAME]’s ethnic group/tribe? (h3q9)

Data file: GSEC3

Overview

Valid: 17371
Invalid: 7
Type: Discrete
Decimal: 0
Start: 55
End: 56
Width: 2
Range: 11 - 96
Format: Numeric

Questions and instructions

Categories
Value Category Cases
11 Acholi 541
3.1%
12 Alur 446
2.6%
13 Baamba 10
0.1%
14 Babukusu 2
0%
15 Babwisi 12
0.1%
16 Bafumbira 199
1.1%
17 Baganda 3064
17.6%
18 Bagisu 949
5.5%
19 Bagungu 6
0%
20 Bagwe 1
0%
21 Bagwere 125
0.7%
22 Bahehe 0
0%
23 Bahororo 37
0.2%
24 Bakenyi 49
0.3%
25 Bakiga 846
4.9%
26 Bakhonzo 356
2%
27 Banyabindi 0
0%
28 Banyakole 1981
11.4%
29 Banyara 8
0%
30 Banyarwanda 227
1.3%
31 Banyole 260
1.5%
32 Banyoro 519
3%
33 Baruli 19
0.1%
34 Basamia 232
1.3%
35 Basoga 1408
8.1%
36 Basongora 0
0%
37 Batagwenda 10
0.1%
38 Batoro 613
3.5%
39 Batuku 0
0%
40 Batwa 0
0%
41 Chope 1
0%
42 Dodoth 115
0.7%
43 Ethur 51
0.3%
44 Ik (Teuso) 1
0%
45 Iteso 1414
8.1%
47 Japadhola 270
1.6%
48 Jie 96
0.6%
49 Jonam 15
0.1%
50 Kakwa 149
0.9%
51 Karimojong 376
2.2%
52 Kebu 0
0%
53 Kuku 0
0%
54 Kumam 68
0.4%
55 Langi 1678
9.7%
56 Lendu 2
0%
57 Lugbara 733
4.2%
58 Madi 136
0.8%
59 Mening 0
0%
60 Mvuba 0
0%
61 Napore 0
0%
62 Nubi 10
0.1%
63 Nyangia 0
0%
64 Pokot 0
0%
65 Sabiny 89
0.5%
66 So (Tepeth) 0
0%
67 Vonoma 0
0%
69 Aliba 7
0%
70 Aringa 28
0.2%
71 Banyabutumbi 0
0%
72 Banyaruguru 1
0%
73 Barundi 42
0.2%
74 Gimara 23
0.1%
75 Ngikutio 0
0%
76 Reli 16
0.1%
77 Shana 0
0%
96 Other (Specify) 130
0.7%
Sysmiss 7
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.
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