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    Home / Central Data Catalog / HAN / NPL-CBS-NMICS-2019-V1 / variable [F7]
HAN

Nepal Multiple Indicator Cluster Survey 2019

Nepal, 2019
Women, Children, Health and Nutrition
Central Bureau of Statistics
Created on January 30, 2022 Last modified January 30, 2022 Page views 221698 Download 3246 Documentation in PDF Metadata DDI/XML JSON
  • Study description
  • Documentation
  • Data Description
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  • Data files
  • hh
  • wm
  • mn
  • ch
CSV JSON

Amount of (Retirement Pension) recieved (NRs) (ST6$4)

Data file: hh

Overview

Valid: 426
Invalid: 12374
Minimum: 0
Maximum: 888000
Type: Discrete
Decimal: 0
Width: 6
Range: 0 - 999998
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 5
1.2%
20 1
0.2%
7500 1
0.2%
9998 1
0.2%
11000 1
0.2%
11920 1
0.2%
12000 4
0.9%
13000 1
0.2%
13999 1
0.2%
14000 1
0.2%
14400 1
0.2%
15000 1
0.2%
15600 3
0.7%
16000 3
0.7%
18000 3
0.7%
18300 1
0.2%
20000 1
0.2%
20927 1
0.2%
21500 1
0.2%
22000 1
0.2%
23000 1
0.2%
24000 2
0.5%
26000 1
0.2%
31000 1
0.2%
32000 1
0.2%
32500 1
0.2%
33500 1
0.2%
36000 4
0.9%
39000 1
0.2%
44400 1
0.2%
48000 2
0.5%
50000 1
0.2%
52000 1
0.2%
55000 1
0.2%
60000 1
0.2%
64000 1
0.2%
70000 1
0.2%
72000 6
1.4%
79000 1
0.2%
84000 2
0.5%
91000 1
0.2%
92700 1
0.2%
96000 3
0.7%
97500 1
0.2%
100000 4
0.9%
100800 1
0.2%
104000 3
0.7%
105000 2
0.5%
108000 5
1.2%
109800 1
0.2%
114000 1
0.2%
120000 22
5.2%
121000 1
0.2%
122000 1
0.2%
123500 1
0.2%
123600 1
0.2%
125000 2
0.5%
126000 2
0.5%
127000 1
0.2%
130000 3
0.7%
132000 9
2.1%
133000 1
0.2%
138000 2
0.5%
140000 2
0.5%
141600 1
0.2%
143000 1
0.2%
144000 16
3.8%
147000 1
0.2%
149500 1
0.2%
150000 8
1.9%
153204 1
0.2%
156000 21
4.9%
160000 1
0.2%
162000 1
0.2%
163604 1
0.2%
164000 1
0.2%
166000 1
0.2%
168000 6
1.4%
169000 1
0.2%
170000 3
0.7%
172510 1
0.2%
175000 1
0.2%
175608 1
0.2%
176280 1
0.2%
177600 1
0.2%
180000 17
4%
183600 1
0.2%
184800 1
0.2%
188400 1
0.2%
188500 1
0.2%
190000 4
0.9%
192000 9
2.1%
193000 1
0.2%
195000 3
0.7%
200000 11
2.6%
201600 1
0.2%
204000 4
0.9%
205000 1
0.2%
205075 1
0.2%
208000 2
0.5%
210000 2
0.5%
213600 2
0.5%
214500 1
0.2%
214680 1
0.2%
216000 6
1.4%
216658 1
0.2%
217100 1
0.2%
220662 1
0.2%
221000 3
0.7%
225000 1
0.2%
225360 1
0.2%
230000 1
0.2%
232401 1
0.2%
234000 3
0.7%
235000 1
0.2%
235560 2
0.5%
240000 18
4.2%
242000 1
0.2%
250000 5
1.2%
252000 3
0.7%
253000 1
0.2%
253596 1
0.2%
260000 5
1.2%
264000 5
1.2%
267600 1
0.2%
270000 1
0.2%
274200 1
0.2%
275600 1
0.2%
276000 2
0.5%
276534 1
0.2%
280000 1
0.2%
283400 1
0.2%
298000 1
0.2%
300000 14
3.3%
303756 1
0.2%
310000 1
0.2%
312000 3
0.7%
320000 1
0.2%
324000 2
0.5%
336000 1
0.2%
340000 1
0.2%
348000 1
0.2%
350000 1
0.2%
351000 1
0.2%
356400 1
0.2%
360000 16
3.8%
372000 1
0.2%
380000 1
0.2%
382000 1
0.2%
384000 2
0.5%
390000 1
0.2%
396000 2
0.5%
400000 4
0.9%
408000 2
0.5%
420000 11
2.6%
432000 2
0.5%
455000 1
0.2%
480000 4
0.9%
499200 1
0.2%
507000 1
0.2%
540000 1
0.2%
600000 2
0.5%
624000 1
0.2%
636000 1
0.2%
750000 1
0.2%
800000 1
0.2%
888000 1
0.2%
999998 DK 0
0%
Sysmiss 12374
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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