National Household Survey 2012-2013
Uganda, 2012 - 2013
Created on
May 19, 2014
Last modified
Mar 29, 2019
Page views
237890
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
Medicines (he17b)
Data file: GSEC5
Overview
Valid:
10058
Invalid:
24738
Minimum:
0
Maximum:
1000000
Type:
Discrete
Decimal:
0
Start:
61
End:
67
Width:
7
Range:
-
Format:
Questions and instructions
Literal question
How much has your household spent during the past 30 days on [NAME’S] health and medical care?
Categories
| Value | Category |
|---|---|
| 0 | |
| 6 | |
| 100 | |
| 200 | |
| 300 | |
| 400 | |
| 500 | |
| 600 | |
| 700 | |
| 750 | |
| 800 | |
| 900 | |
| 1000 | |
| 1100 | |
| 1200 | |
| 1300 | |
| 1400 | |
| 1500 | |
| 1600 | |
| 1700 | |
| 1800 | |
| 1900 | |
| 2000 | |
| 2100 | |
| 2200 | |
| 2300 | |
| 2400 | |
| 2500 | |
| 2600 | |
| 2650 | |
| 2700 | |
| 2800 | |
| 2900 | |
| 3000 | |
| 3200 | |
| 3250 | |
| 3300 | |
| 3400 | |
| 3500 | |
| 3600 | |
| 3700 | |
| 3750 | |
| 3800 | |
| 4000 | |
| 4100 | |
| 4200 | |
| 4300 | |
| 4400 | |
| 4500 | |
| 4600 | |
| 4700 | |
| 4800 | |
| 4900 | |
| 5000 | |
| 5100 | |
| 5200 | |
| 5300 | |
| 5400 | |
| 5500 | |
| 5600 | |
| 5700 | |
| 5800 | |
| 5900 | |
| 6000 | |
| 6100 | |
| 6200 | |
| 6300 | |
| 6400 | |
| 6500 | |
| 6600 | |
| 6700 | |
| 6800 | |
| 7000 | |
| 7100 | |
| 7200 | |
| 7400 | |
| 7500 | |
| 7700 | |
| 7800 | |
| 7900 | |
| 8000 | |
| 8100 | |
| 8200 | |
| 8500 | |
| 8700 | |
| 9000 | |
| 9100 | |
| 9500 | |
| 9600 | |
| 9700 | |
| 9800 | |
| 9900 | |
| 10000 | |
| 10006 | |
| 10500 | |
| 10900 | |
| 11000 | |
| 11500 | |
| 11600 | |
| 11700 | |
| 12000 | |
| 12300 | |
| 12500 | |
| 12800 | |
| 13000 | |
| 13500 | |
| 13700 | |
| 14000 | |
| 14500 | |
| 15000 | |
| 15500 | |
| 16000 | |
| 16500 | |
| 17000 | |
| 17500 | |
| 18000 | |
| 18200 | |
| 18400 | |
| 18500 | |
| 18750 | |
| 19000 | |
| 20000 | |
| 20500 | |
| 21000 | |
| 21500 | |
| 22000 | |
| 23000 | |
| 24000 | |
| 24500 | |
| 25000 | |
| 25500 | |
| 26000 | |
| 27000 | |
| 27200 | |
| 28000 | |
| 28500 | |
| 29000 | |
| 30000 | |
| 30500 | |
| 30800 | |
| 31000 | |
| 32000 | |
| 32500 | |
| 33000 | |
| 34000 | |
| 35000 | |
| 36000 | |
| 37000 | |
| 37500 | |
| 38000 | |
| 38500 | |
| 39000 | |
| 39500 | |
| 39800 | |
| 40000 | |
| 41000 | |
| 42000 | |
| 42500 | |
| 43000 | |
| 44000 | |
| 45000 | |
| 45500 | |
| 46000 | |
| 47000 | |
| 47200 | |
| 47400 | |
| 48000 | |
| 49000 | |
| 50000 | |
| 50500 | |
| 51000 | |
| 52000 | |
| 54000 | |
| 55000 | |
| 56000 | |
| 57300 | |
| 58000 | |
| 58500 | |
| 60000 | |
| 61000 | |
| 63000 | |
| 65000 | |
| 66000 | |
| 67000 | |
| 68000 | |
| 68200 | |
| 69500 | |
| 70000 | |
| 71000 | |
| 72000 | |
| 75000 | |
| 76000 | |
| 77000 | |
| 78000 | |
| 80000 | |
| 82000 | |
| 85000 | |
| 87000 | |
| 90000 | |
| 92000 | |
| 95000 | |
| 98400 | |
| 98500 | |
| 100000 | |
| 100900 | |
| 101000 | |
| 104000 | |
| 106000 | |
| 107000 | |
| 110000 | |
| 114000 | |
| 116000 | |
| 120000 | |
| 121010 | |
| 130000 | |
| 135000 | |
| 140000 | |
| 150000 | |
| 160000 | |
| 170000 | |
| 180000 | |
| 200000 | |
| 210000 | |
| 220000 | |
| 223800 | |
| 230000 | |
| 240000 | |
| 250000 | |
| 300000 | |
| 310000 | |
| 350000 | |
| 400000 | |
| 442000 | |
| 500000 | |
| 600000 | |
| 800000 | |
| 1000000 | |
| 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 the respondent can only give a total amount,leave the rest of the columns blank and write the total in Column HE17g
Question post text
If nothing was spent, write 0