National Household Survey 2012-2013
Uganda, 2012 - 2013
Created on
May 19, 2014
Last modified
Mar 29, 2019
Page views
248431
Downloads
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- Data files
- GSEC2
- GSEC1cln
- GSEC3
- GSEC4
- GSEC5
- GSEC6a
- GSEC6b
- GSEC6c
- GSEC6d
- GSEC6e
- GSEC7
- GSEC8
- GSEC9cln
- GSEC10
- GSEC11
- GSEC12
- GSEC13
- Poverty2012
- section1
- section4k
- section5a
- section5b
- section5c
- section5d
- section5e
- section4j
- section2a
- section2b
- section2c
- section2d
- section3
- section4a
- section4b
- section4c
- section4d
- section4e
- section4f
- section4g
- section4h
- section4i
- section5f
- section5g
- section5h
- section6a
- section6b
- section6c
- section6d
- section6e
- section6f
- section6g
- section7a
- section7b
- section7c
- Labour Module
- LABOURSEC1
Uniforms and sport clothes (e20c)
Data file: GSEC4
Overview
Valid:
9314
Invalid:
23950
Minimum:
0
Maximum:
300000
Type:
Discrete
Decimal:
0
Start:
71
End:
76
Width:
6
Range:
-
Format:
Questions and instructions
Literal question
How much has your household spent during the past 12 months on [NAME’S] schooling?
Categories
| Value | Category |
|---|---|
| 0 | |
| 10 | |
| 700 | |
| 1110 | |
| 1200 | |
| 1500 | |
| 1800 | |
| 1900 | |
| 2000 | |
| 2100 | |
| 2500 | |
| 2700 | |
| 3000 | |
| 3006 | |
| 3200 | |
| 3500 | |
| 3506 | |
| 3600 | |
| 3750 | |
| 3800 | |
| 4000 | |
| 4200 | |
| 4250 | |
| 4500 | |
| 4700 | |
| 4800 | |
| 5000 | |
| 5200 | |
| 5250 | |
| 5400 | |
| 5500 | |
| 5600 | |
| 5650 | |
| 5700 | |
| 5900 | |
| 6000 | |
| 6100 | |
| 6200 | |
| 6300 | |
| 6500 | |
| 6600 | |
| 6800 | |
| 7000 | |
| 7006 | |
| 7100 | |
| 7300 | |
| 7500 | |
| 7600 | |
| 7700 | |
| 8000 | |
| 8250 | |
| 8500 | |
| 8600 | |
| 8900 | |
| 9000 | |
| 9200 | |
| 9500 | |
| 10000 | |
| 10500 | |
| 10700 | |
| 10800 | |
| 11000 | |
| 11300 | |
| 11500 | |
| 12000 | |
| 12006 | |
| 12500 | |
| 13000 | |
| 13500 | |
| 14000 | |
| 14400 | |
| 14500 | |
| 14800 | |
| 15000 | |
| 15200 | |
| 15500 | |
| 16000 | |
| 16500 | |
| 17000 | |
| 17500 | |
| 18000 | |
| 18500 | |
| 19000 | |
| 19400 | |
| 19500 | |
| 20000 | |
| 20500 | |
| 21000 | |
| 21500 | |
| 22000 | |
| 22500 | |
| 23000 | |
| 24000 | |
| 25000 | |
| 26000 | |
| 26500 | |
| 27000 | |
| 28000 | |
| 29000 | |
| 30000 | |
| 30600 | |
| 31000 | |
| 31500 | |
| 32000 | |
| 33000 | |
| 34000 | |
| 35000 | |
| 36000 | |
| 36500 | |
| 37000 | |
| 37500 | |
| 38000 | |
| 39000 | |
| 40000 | |
| 40500 | |
| 41200 | |
| 41500 | |
| 41700 | |
| 42000 | |
| 42500 | |
| 43000 | |
| 44000 | |
| 45000 | |
| 45500 | |
| 46000 | |
| 47000 | |
| 47500 | |
| 48000 | |
| 50000 | |
| 50500 | |
| 51000 | |
| 52000 | |
| 53000 | |
| 53500 | |
| 54000 | |
| 55000 | |
| 56000 | |
| 57000 | |
| 58000 | |
| 59000 | |
| 59600 | |
| 60000 | |
| 61000 | |
| 61500 | |
| 62000 | |
| 63000 | |
| 63500 | |
| 64000 | |
| 65000 | |
| 66000 | |
| 67000 | |
| 68000 | |
| 70000 | |
| 71000 | |
| 72000 | |
| 73000 | |
| 74000 | |
| 74500 | |
| 75000 | |
| 76000 | |
| 77000 | |
| 80000 | |
| 82000 | |
| 83000 | |
| 84000 | |
| 85000 | |
| 90000 | |
| 90500 | |
| 93000 | |
| 95000 | |
| 97500 | |
| 98000 | |
| 100000 | |
| 103000 | |
| 105000 | |
| 106000 | |
| 110000 | |
| 112000 | |
| 115000 | |
| 120000 | |
| 123000 | |
| 125000 | |
| 130000 | |
| 134000 | |
| 135000 | |
| 140000 | |
| 148000 | |
| 150000 | |
| 160000 | |
| 165300 | |
| 180000 | |
| 190000 | |
| 196000 | |
| 200000 | |
| 240000 | |
| 300000 | |
| Sysmiss |
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.
Interviewer instructions
If nothing was spent, write 0. If the respondent can only give a total amount,leave the rest of the columns Blank and write the total in column E20g