World Health Survey 2003
Nepal, 2003
Get Microdata
Reference ID
NPL_2003_WHS_v01_M
Producer(s)
World Health Organization (WHO)
Collection(s)
Created on
Oct 17, 2013
Last modified
Oct 17, 2013
Page views
60793
Downloads
19
Medicines (q7310)
Data file: WHS-Nepal_F5
Overview
Valid:
3284
Invalid:
5404
Minimum:
0
Maximum:
300000
Mean:
651.999
Standard deviation:
6148.821
Type:
Discrete
Decimal:
2
Start:
2184
End:
2192
Width:
9
Range:
0 - 1200
Format:
Numeric
Questions and instructions
Literal question
Thinking about your last visit, how much did you or your household pay for: Medicines
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 197 |
6%
|
|
| 2 | 2 |
0.1%
|
|
| 5 | 5 |
0.2%
|
|
| 6 | 2 |
0.1%
|
|
| 8 | Do not know | 182 |
5.5%
|
| 9 | Not applicable, not have | 120 |
3.7%
|
| 10 | 30 |
0.9%
|
|
| 11 | 3 |
0.1%
|
|
| 12 | 3 |
0.1%
|
|
| 14 | 2 |
0.1%
|
|
| 15 | 12 |
0.4%
|
|
| 16 | 4 |
0.1%
|
|
| 17 | 3 |
0.1%
|
|
| 18 | 5 |
0.2%
|
|
| 19 | 1 |
0%
|
|
| 20 | 27 |
0.8%
|
|
| 22 | 3 |
0.1%
|
|
| 24 | 1 |
0%
|
|
| 25 | 25 |
0.8%
|
|
| 26 | 2 |
0.1%
|
|
| 28 | 2 |
0.1%
|
|
| 29 | 1 |
0%
|
|
| 30 | 31 |
0.9%
|
|
| 32 | 3 |
0.1%
|
|
| 34 | 1 |
0%
|
|
| 35 | 19 |
0.6%
|
|
| 40 | 39 |
1.2%
|
|
| 41 | 1 |
0%
|
|
| 42 | 1 |
0%
|
|
| 45 | 13 |
0.4%
|
|
| 46 | 1 |
0%
|
|
| 48 | 3 |
0.1%
|
|
| 49 | 1 |
0%
|
|
| 50 | 94 |
2.9%
|
|
| 54 | 3 |
0.1%
|
|
| 55 | 15 |
0.5%
|
|
| 56 | 2 |
0.1%
|
|
| 57 | 1 |
0%
|
|
| 60 | 48 |
1.5%
|
|
| 61 | 1 |
0%
|
|
| 62 | 1 |
0%
|
|
| 64 | 2 |
0.1%
|
|
| 65 | 12 |
0.4%
|
|
| 70 | 27 |
0.8%
|
|
| 73 | 1 |
0%
|
|
| 75 | 12 |
0.4%
|
|
| 80 | 27 |
0.8%
|
|
| 81 | 1 |
0%
|
|
| 84 | 3 |
0.1%
|
|
| 85 | 3 |
0.1%
|
|
| 87 | 1 |
0%
|
|
| 88 | 1 |
0%
|
|
| 90 | 16 |
0.5%
|
|
| 91 | 1 |
0%
|
|
| 92 | 1 |
0%
|
|
| 94 | 1 |
0%
|
|
| 95 | 2 |
0.1%
|
|
| 96 | 1 |
0%
|
|
| 97 | 1 |
0%
|
|
| 100 | 172 |
5.2%
|
|
| 103 | 1 |
0%
|
|
| 105 | 9 |
0.3%
|
|
| 107 | 1 |
0%
|
|
| 108 | 1 |
0%
|
|
| 110 | 6 |
0.2%
|
|
| 111 | 1 |
0%
|
|
| 115 | 2 |
0.1%
|
|
| 116 | 1 |
0%
|
|
| 120 | 20 |
0.6%
|
|
| 123 | 1 |
0%
|
|
| 124 | 1 |
0%
|
|
| 125 | 20 |
0.6%
|
|
| 128 | 2 |
0.1%
|
|
| 130 | 10 |
0.3%
|
|
| 135 | 6 |
0.2%
|
|
| 140 | 16 |
0.5%
|
|
| 144 | 1 |
0%
|
|
| 145 | 7 |
0.2%
|
|
| 148 | 1 |
0%
|
|
| 150 | 180 |
5.5%
|
|
| 152 | 1 |
0%
|
|
| 155 | 2 |
0.1%
|
|
| 156 | 1 |
0%
|
|
| 157 | 1 |
0%
|
|
| 158 | 2 |
0.1%
|
|
| 160 | 23 |
0.7%
|
|
| 163 | 1 |
0%
|
|
| 164 | 2 |
0.1%
|
|
| 165 | 5 |
0.2%
|
|
| 166 | 1 |
0%
|
|
| 170 | 6 |
0.2%
|
|
| 175 | 10 |
0.3%
|
|
| 177 | 1 |
0%
|
|
| 180 | 12 |
0.4%
|
|
| 185 | 1 |
0%
|
|
| 190 | 2 |
0.1%
|
|
| 195 | 2 |
0.1%
|
|
| 200 | 303 |
9.2%
|
|
| 205 | 2 |
0.1%
|
|
| 208 | 2 |
0.1%
|
|
| 210 | 5 |
0.2%
|
|
| 215 | 2 |
0.1%
|
|
| 220 | 3 |
0.1%
|
|
| 223 | 1 |
0%
|
|
| 225 | 2 |
0.1%
|
|
| 228 | 1 |
0%
|
|
| 230 | 2 |
0.1%
|
|
| 234 | 1 |
0%
|
|
| 235 | 1 |
0%
|
|
| 240 | 7 |
0.2%
|
|
| 242 | 1 |
0%
|
|
| 245 | 2 |
0.1%
|
|
| 250 | 98 |
3%
|
|
| 258 | 1 |
0%
|
|
| 260 | 1 |
0%
|
|
| 264 | 1 |
0%
|
|
| 265 | 3 |
0.1%
|
|
| 270 | 2 |
0.1%
|
|
| 275 | 4 |
0.1%
|
|
| 276 | 1 |
0%
|
|
| 280 | 8 |
0.2%
|
|
| 290 | 2 |
0.1%
|
|
| 295 | 1 |
0%
|
|
| 300 | 226 |
6.9%
|
|
| 320 | 5 |
0.2%
|
|
| 325 | 2 |
0.1%
|
|
| 327 | 1 |
0%
|
|
| 340 | 2 |
0.1%
|
|
| 345 | 1 |
0%
|
|
| 350 | 35 |
1.1%
|
|
| 355 | 2 |
0.1%
|
|
| 360 | 3 |
0.1%
|
|
| 365 | 3 |
0.1%
|
|
| 375 | 4 |
0.1%
|
|
| 380 | 1 |
0%
|
|
| 385 | 1 |
0%
|
|
| 390 | 4 |
0.1%
|
|
| 395 | 1 |
0%
|
|
| 400 | 131 |
4%
|
|
| 401 | 1 |
0%
|
|
| 406 | 1 |
0%
|
|
| 415 | 1 |
0%
|
|
| 420 | 1 |
0%
|
|
| 425 | 1 |
0%
|
|
| 435 | 1 |
0%
|
|
| 440 | 1 |
0%
|
|
| 447 | 1 |
0%
|
|
| 450 | 16 |
0.5%
|
|
| 455 | 1 |
0%
|
|
| 460 | 1 |
0%
|
|
| 475 | 4 |
0.1%
|
|
| 480 | 4 |
0.1%
|
|
| 490 | 1 |
0%
|
|
| 500 | 226 |
6.9%
|
|
| 525 | 1 |
0%
|
|
| 550 | 8 |
0.2%
|
|
| 553 | 1 |
0%
|
|
| 560 | 2 |
0.1%
|
|
| 575 | 1 |
0%
|
|
| 590 | 1 |
0%
|
|
| 600 | 48 |
1.5%
|
|
| 630 | 1 |
0%
|
|
| 650 | 3 |
0.1%
|
|
| 665 | 1 |
0%
|
|
| 700 | 54 |
1.6%
|
|
| 750 | 8 |
0.2%
|
|
| 770 | 1 |
0%
|
|
| 780 | 1 |
0%
|
|
| 800 | 55 |
1.7%
|
|
| 813 | 1 |
0%
|
|
| 835 | 1 |
0%
|
|
| 850 | 3 |
0.1%
|
|
| 900 | 18 |
0.5%
|
|
| 950 | 4 |
0.1%
|
|
| 960 | 2 |
0.1%
|
|
| 1000 | 102 |
3.1%
|
|
| 1100 | 6 |
0.2%
|
|
| 1150 | 2 |
0.1%
|
|
| 1200 | 21 |
0.6%
|
|
| 1220 | 1 |
0%
|
|
| 1300 | 4 |
0.1%
|
|
| 1370 | 1 |
0%
|
|
| 1375 | 1 |
0%
|
|
| 1380 | 1 |
0%
|
|
| 1400 | 2 |
0.1%
|
|
| 1500 | 48 |
1.5%
|
|
| 1600 | 12 |
0.4%
|
|
| 1700 | 1 |
0%
|
|
| 1750 | 2 |
0.1%
|
|
| 1800 | 6 |
0.2%
|
|
| 1850 | 1 |
0%
|
|
| 1851 | 1 |
0%
|
|
| 1870 | 1 |
0%
|
|
| 2000 | 40 |
1.2%
|
|
| 2100 | 2 |
0.1%
|
|
| 2200 | 1 |
0%
|
|
| 2300 | 1 |
0%
|
|
| 2500 | 6 |
0.2%
|
|
| 2740 | 1 |
0%
|
|
| 2800 | 2 |
0.1%
|
|
| 3000 | 23 |
0.7%
|
|
| 3200 | 4 |
0.1%
|
|
| 3500 | 8 |
0.2%
|
|
| 3600 | 1 |
0%
|
|
| 3800 | 1 |
0%
|
|
| 4000 | 15 |
0.5%
|
|
| 4500 | 1 |
0%
|
|
| 4800 | 1 |
0%
|
|
| 5000 | 21 |
0.6%
|
|
| 6000 | 7 |
0.2%
|
|
| 6500 | 2 |
0.1%
|
|
| 6600 | 1 |
0%
|
|
| 7000 | 3 |
0.1%
|
|
| 8000 | 2 |
0.1%
|
|
| 9000 | 2 |
0.1%
|
|
| 10000 | 4 |
0.1%
|
|
| 10075 | 1 |
0%
|
|
| 12000 | 1 |
0%
|
|
| 15000 | 3 |
0.1%
|
|
| 22000 | 1 |
0%
|
|
| 25000 | 2 |
0.1%
|
|
| 27000 | 1 |
0%
|
|
| 80000 | 1 |
0%
|
|
| 150000 | 1 |
0%
|
|
| 300000 | 1 |
0%
|
|
| Sysmiss | 5404 |
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
The amount paid should be entered for each category. If the payment was in kind, then the respondent should be asked to give their best estimate of the cash value of the in-kind payment. If there are other expenses than fees, drugs, tests or transport, then they should be entered as "Other". If the person only answers with a total amount, record under “other”.