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    Home / Central Data Catalog / WHSPLUS / DDI-NPL-WHO-WHSPLUS-2023-V01 / variable [F2]
WHSPlus

World Health Survey Plus Nepal 2023
Wave 1

Nepal, 2023
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Reference ID
DDI-NPL-WHO-WHSPLUS-2023-V01
Producer(s)
Professor Abhinav Vaidya
Collections
World Health Survey Plus (WHS+)
Metadata
Documentation in PDF DDI/XML JSON
Study website
Created on
Apr 24, 2026
Last modified
May 05, 2026
Page views
82815
Downloads
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  • Study Description
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  • WHS+NPLHHData
  • WHS+NPLINDData

q0801b5: veg_spend (q0801b5)

Data file: WHS+NPLHHData

Overview

Valid: 5648
Invalid: 837
Type: Discrete
Decimal: 2
Width: 10
Range: -8 - 3000
Format: Numeric

Questions and instructions

Literal question
During the last week, how much did your household spend to purchase for [ITEM]?
Categories
Value Category Cases
-8 don't know 46
0.8%
0 892
15.8%
50 34
0.6%
60 25
0.4%
65 1
0%
70 3
0.1%
80 32
0.6%
90 12
0.2%
95 1
0%
100 224
4%
105 1
0%
107 1
0%
110 1
0%
120 29
0.5%
125 1
0%
130 3
0.1%
135 1
0%
140 3
0.1%
150 177
3.1%
155 1
0%
160 7
0.1%
165 3
0.1%
169 1
0%
170 5
0.1%
175 5
0.1%
179 1
0%
180 34
0.6%
185 4
0.1%
190 4
0.1%
195 1
0%
196 1
0%
198 2
0%
200 582
10.3%
210 3
0.1%
212 1
0%
213 1
0%
214 1
0%
215 3
0.1%
216 1
0%
220 5
0.1%
225 2
0%
230 4
0.1%
235 1
0%
240 2
0%
242 1
0%
244 1
0%
245 3
0.1%
246 1
0%
249 1
0%
250 198
3.5%
254 1
0%
255 1
0%
260 3
0.1%
264 1
0%
270 1
0%
275 2
0%
280 17
0.3%
285 1
0%
290 6
0.1%
295 4
0.1%
300 614
10.9%
310 1
0%
320 1
0%
324 3
0.1%
325 2
0%
335 2
0%
340 3
0.1%
350 136
2.4%
354 1
0%
355 1
0%
360 8
0.1%
375 3
0.1%
380 2
0%
400 316
5.6%
420 2
0%
432 1
0%
450 38
0.7%
460 1
0%
470 2
0%
480 8
0.1%
490 1
0%
500 753
13.3%
550 24
0.4%
560 1
0%
565 1
0%
575 1
0%
580 2
0%
600 341
6%
625 2
0%
650 19
0.3%
670 1
0%
680 3
0.1%
700 180
3.2%
750 10
0.2%
800 143
2.5%
850 4
0.1%
900 17
0.3%
980 1
0%
1000 323
5.7%
1050 3
0.1%
1100 5
0.1%
1150 1
0%
1200 59
1%
1280 1
0%
1300 4
0.1%
1400 18
0.3%
1500 89
1.6%
1600 5
0.1%
1750 1
0%
1800 4
0.1%
2000 51
0.9%
2050 1
0%
2500 15
0.3%
2800 1
0%
3000 14
0.2%
Sysmiss 837
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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