National Panel Survey 2011-2012
Uganda, 2011 - 2012
Get Microdata
Reference ID
UGA_2011-2012_NPS-W3_v01_EN_M_v01_A_OCS
Producer(s)
Uganda Bureau of Statistics (UBOS)
Collections
Metadata
Created on
Sep 11, 2020
Last modified
Nov 08, 2022
Page views
90919
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- Data files
- AGSEC1
- AGSEC3A
- AGSEC3B
- AGSEC4A
- AGSEC4B
- AGSEC5A
- AGSEC5B
- AGSEC6A
- AGSEC6B
- AGSEC6C
- AGSEC7A
- AGSEC7B
- AGSEC8A
- AGSEC8B
- AGSEC8C
- AGSEC8D
- AGSEC8E
- AGSEC9
- AGSEC10
- CSEC1
- CSEC2a
- CSEC2b
- CSEC2c
- CSEC2c_1
- CSEC3_1
- CSEC3a
- CSEC3b
- CSEC3c
- CSEC3d
- CSEC3e
- CSEC3f
- CSEC3g
- CSEC3h
- CSEC3i
- CSEC3j
- CSEC3k
- CSEC3L
- CSEC3m
- CSEC4ab
- CSEC4c
- CSEC4d
- CSEC4e
- CSEC4f
- CSEC4g
- CSEC4h
- CSEC4i
- CSEC4j
- CSEC4k
- CSEC4l
- CSEC4m
- CSEC4n
- CSEC4o
- CSEC4p
- CSEC4p_B
- CSEC4q
- CSEC4r
- CSEC5_1
- CSEC5a
- CSEC5b
- CSEC5c
- CSEC5d
- CSEC5e
- CSEC6a
- CSEC6b
- CSEC6c
- CSEC6d
- CSEC6e
- GSEC1
- GSEC2
- GSEC3
- GSEC4
- GSEC5
- GSEC6A
- GSEC6B
- GSEC6C
- GSEC8
- GSEC9A
- GSEC9B
- GSEC10A
- GSEC10B
- GSEC10C
- GSEC11
- GSEC12
- GSEC14
- GSEC15B
- GSEC15BB
- GSEC15C
- GSEC15D
- GSEC16
- GSEC17A
- GSEC17B
- GSEC17C
- GSEC18
- GSEC18A
- GSEC18B
- UNPS_Geovars_1112
- WSEC2A
- WSEC2B_1
- WSEC2B_2
-
UNPS 2011-12
Consumption
Aggregate - HH_SEC10_2
- AGSEC2A
- AGSEC2B
Unit code (h15cq3)
Data file: GSEC15C
Overview
Valid:
11655
Invalid:
14867
Type:
Discrete
Decimal:
0
Start:
22
End:
24
Width:
3
Range:
0 - 172
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 1 |
0%
|
|
| 1 | Kilogram (kg) | 75 |
0.6%
|
| 2 | Gram | 7 |
0.1%
|
| 3 | Litre | 1263 |
10.8%
|
| 4 | Small cup with handle(Akendo) | 132 |
1.1%
|
| 5 | Metre | 0 |
0%
|
| 6 | Square metre | 0 |
0%
|
| 7 | Yard | 0 |
0%
|
| 8 | Millilitre | 0 |
0%
|
| 9 | Sack (120 kgs) | 31 |
0.3%
|
| 10 | Sack (100 kgs) | 141 |
1.2%
|
| 11 | Sack (80 kgs) | 30 |
0.3%
|
| 12 | Sack (50 kgs) | 55 |
0.5%
|
| 13 | 63 |
0.5%
|
|
| 14 | Jerrican (20 lts) | 1 |
0%
|
| 15 | Jerrican (10 lts) | 2 |
0%
|
| 16 | Jerrican (5 lts) | 21 |
0.2%
|
| 17 | Jerrican (3 lts) | 3 |
0%
|
| 18 | Jerrican (2 lts) | 8 |
0.1%
|
| 19 | Jerrican (1 lt) | 1 |
0%
|
| 20 | Tin (Debe) - 20 lts | 14 |
0.1%
|
| 21 | Tin (5 lts) | 18 |
0.2%
|
| 22 | Plastic Basin (15 lts) | 47 |
0.4%
|
| 23 | Bottle(750ml) | 0 |
0%
|
| 24 | Bottle(500ml) | 21 |
0.2%
|
| 25 | Bottle(350ml) | 16 |
0.1%
|
| 26 | Bottle-300mls | 320 |
2.7%
|
| 27 | Bottle(250ml) | 3 |
0%
|
| 28 | Bottle(150ml) | 81 |
0.7%
|
| 29 | Kimbo Tin(2kg) | 12 |
0.1%
|
| 30 | Kimbo Tin(1kg) | 1 |
0%
|
| 31 | Kimbo Tin(0.5kg) | 1 |
0%
|
| 32 | Cup/Mug(0.5lt) | 0 |
0%
|
| 33 | Glass(0.25lt) | 0 |
0%
|
| 34 | Ladle(100g) | 0 |
0%
|
| 35 | Table spoon | 0 |
0%
|
| 36 | Tea spoon | 0 |
0%
|
| 37 | Basket (20 kg) | 0 |
0%
|
| 38 | Basket (10 kg) | 1 |
0%
|
| 39 | Basket (5 kg) | 1 |
0%
|
| 40 | Basket (2 kg) | 0 |
0%
|
| 43 | Buns (200 g) | 0 |
0%
|
| 44 | Buns (100g) | 0 |
0%
|
| 45 | Buns (50 g) | 0 |
0%
|
| 46 | Bathing soap (Tablet) | 155 |
1.3%
|
| 47 | Washing soap (Bar) | 1191 |
10.2%
|
| 48 | Washing soap (Tablet) | 711 |
6.1%
|
| 49 | Packet (2 kg) | 0 |
0%
|
| 50 | Packet (1 kg) | 0 |
0%
|
| 51 | Packet (500 g) | 1 |
0%
|
| 52 | Packet (250 g) | 4 |
0%
|
| 53 | Packet (100 g) | 0 |
0%
|
| 54 | 314 |
2.7%
|
|
| 58 | Fish Cut piece (up to 1kg) | 0 |
0%
|
| 59 | Fish Cut piece (1 - 2 kg) | 0 |
0%
|
| 60 | Fish Cut piece(Above 2 kg) | 0 |
0%
|
| 61 | Tray of 30 eggs | 0 |
0%
|
| 62 | Ream | 0 |
0%
|
| 63 | Crate | 0 |
0%
|
| 64 | Heap (unspecified) | 3 |
0%
|
| 65 | Dozen | 0 |
0%
|
| 66 | Bundle (unspecified) | 1139 |
9.8%
|
| 67 | Bunch-Big | 0 |
0%
|
| 68 | Bunch-medium | 0 |
0%
|
| 69 | Bunch-small | 0 |
0%
|
| 74 | Gourd(1-5lts) | 0 |
0%
|
| 75 | Gourd(5-10lts) | 0 |
0%
|
| 76 | Gourd (Above 10 lts) | 0 |
0%
|
| 77 | Jug (2 lts) | 0 |
0%
|
| 78 | Jug (1.5 lts) | 0 |
0%
|
| 79 | Jug (1 lt) | 0 |
0%
|
| 80 | Tot (50 ml) | 0 |
0%
|
| 81 | Tot (sachet) | 0 |
0%
|
| 83 | Tobacco leaf (Number) | 0 |
0%
|
| 84 | Pair | 1485 |
12.7%
|
| 85 | Number of Units (General) | 2665 |
22.9%
|
| 86 | Acre | 0 |
0%
|
| 87 | Piece-Big | 0 |
0%
|
| 88 | Piece-Medium | 0 |
0%
|
| 89 | Piece-Small | 0 |
0%
|
| 90 | Heap-Large | 2 |
0%
|
| 91 | Heap-Medium | 8 |
0.1%
|
| 92 | Heap-Small | 9 |
0.1%
|
| 93 | Cluster-Large | 0 |
0%
|
| 94 | Cluster-Medium | 0 |
0%
|
| 95 | Cluster-Small | 0 |
0%
|
| 96 | Bundle-Big | 0 |
0%
|
| 97 | Bundle-Medium | 0 |
0%
|
| 98 | Bundle-Small | 0 |
0%
|
| 99 | Others specify | 1533 |
13.2%
|
| 100 | Whole fish(Large) | 0 |
0%
|
| 101 | Whole fish(Medium) | 0 |
0%
|
| 102 | Whole fish(Small) | 0 |
0%
|
| 103 | Plastinbasin(5ltrs) | 1 |
0%
|
| 104 | Glass(0.5ltrs) | 0 |
0%
|
| 105 | Glass(0.125ltrs) | 0 |
0%
|
| 106 | Jug(2.5ltrs) | 0 |
0%
|
| 107 | Nice cup(100g)- Large | 0 |
0%
|
| 108 | Nice cup(60g)-Medium | 0 |
0%
|
| 109 | Nice cup(50g)-Small | 0 |
0%
|
| 110 | Metallic tumbler(100g)- Big | 0 |
0%
|
| 111 | Metallic tumbler(50g)- Small | 0 |
0%
|
| 112 | Plastic tumbler(50g)- Big | 0 |
0%
|
| 113 | Plastic tumbler(30g)-Small | 0 |
0%
|
| 114 | Plastic plate(60g)-Large | 0 |
0%
|
| 115 | Plastic plate(30g)-Small | 0 |
0%
|
| 116 | Metallic plate(100g)-Large | 0 |
0%
|
| 117 | Metallic plate(80g)- Small | 0 |
0%
|
| 118 | Plastic bowl(40g) | 0 |
0%
|
| 119 | Nomi Tin(1kg) | 0 |
0%
|
| 120 | Nomi Tin(500g) | 1 |
0%
|
| 121 | Nomi Tin(250g) | 0 |
0%
|
| 122 | Nido Tin(400g) | 0 |
0%
|
| 123 | Akendo-Big | 1 |
0%
|
| 124 | Akendo-Medium | 20 |
0.2%
|
| 125 | Akendo-Small | 42 |
0.4%
|
| 126 | Jerrican(0.5ltrs) | 0 |
0%
|
| 127 | Container- Big | 0 |
0%
|
| 128 | Container-Medium | 0 |
0%
|
| 129 | Container-Small | 0 |
0%
|
| 130 | Container- Smallest | 0 |
0%
|
| 131 | Bottle(500g) | 0 |
0%
|
| 132 | Bottle(350g) | 0 |
0%
|
| 133 | Sadolin Tin- 3ltrs | 0 |
0%
|
| 136 | Bottle(1ltr) | 0 |
0%
|
| 138 | Bottle(2ltr) | 0 |
0%
|
| 139 | Fruit-Cut piece(Big) | 0 |
0%
|
| 140 | Fruit-Cut piece(Medium) | 0 |
0%
|
| 141 | Fruit-Cut piece(Small) | 0 |
0%
|
| 170 | Container(1kg)-Big | 0 |
0%
|
| 171 | Container(0.5kg) -Medium | 0 |
0%
|
| 172 | Container(0.25kg)-Small | 0 |
0%
|
| Sysmiss | 14867 |
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.