Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / NPL_1995-1996_LSS-BL_V01_EN_M_V01_A_OCS / variable [F101]
agricultural-surveys

Living Standards Survey 1995-1996

Nepal, 1995 - 1996
Get Microdata
Reference ID
NPL_1995-1996_LSS-BL_v01_EN_M_v01_A_OCS
Producer(s)
Central Bureau of Statistics (CBS)
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Oct 05, 2020
Last modified
Jan 26, 2023
Page views
36628
Downloads
247

Money approved RS. (v5a04)

Data file: RCOM5A

Overview

Valid: 578
Invalid: 20
Minimum: 0
Maximum: 500000
Type: Discrete
Decimal: 0
Start: 42
End: 47
Width: 6
Range: 0 - 500000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 1
0.2%
10 1
0.2%
15 1
0.2%
93 1
0.2%
157 1
0.2%
1000 1
0.2%
1500 2
0.3%
2000 3
0.5%
2400 1
0.2%
3000 2
0.3%
3155 1
0.2%
3500 1
0.2%
4000 2
0.3%
4500 1
0.2%
4820 1
0.2%
4990 1
0.2%
5000 16
2.8%
6000 2
0.3%
6900 1
0.2%
7000 14
2.4%
7500 3
0.5%
8000 5
0.9%
9000 2
0.3%
9488 1
0.2%
9542 1
0.2%
9700 1
0.2%
10000 22
3.8%
11000 3
0.5%
11197 1
0.2%
12000 8
1.4%
12213 1
0.2%
12500 1
0.2%
13000 3
0.5%
13500 2
0.3%
14000 3
0.5%
15000 21
3.6%
15150 1
0.2%
15434 1
0.2%
16000 3
0.5%
16500 1
0.2%
16630 1
0.2%
17000 2
0.3%
17500 1
0.2%
17800 1
0.2%
18000 1
0.2%
19000 1
0.2%
20000 22
3.8%
21000 3
0.5%
22000 6
1%
23000 2
0.3%
24000 2
0.3%
25000 10
1.7%
25800 1
0.2%
27000 5
0.9%
28000 1
0.2%
29489 1
0.2%
29584 1
0.2%
30000 19
3.3%
30764 1
0.2%
32000 1
0.2%
33000 1
0.2%
34000 4
0.7%
34752 1
0.2%
35000 6
1%
36000 2
0.3%
37060 1
0.2%
38000 1
0.2%
39600 1
0.2%
40000 19
3.3%
42000 1
0.2%
44000 1
0.2%
44235 1
0.2%
45000 4
0.7%
47220 1
0.2%
48000 4
0.7%
49000 1
0.2%
50000 40
6.9%
52000 1
0.2%
52425 1
0.2%
53000 1
0.2%
55000 1
0.2%
56000 1
0.2%
56048 1
0.2%
57295 1
0.2%
57592 1
0.2%
60000 11
1.9%
62000 3
0.5%
63000 2
0.3%
64294 1
0.2%
65000 3
0.5%
67500 2
0.3%
68000 1
0.2%
70000 11
1.9%
73000 1
0.2%
75000 11
1.9%
75802 1
0.2%
78000 2
0.3%
78500 1
0.2%
79000 1
0.2%
80000 15
2.6%
80511 1
0.2%
81500 1
0.2%
81501 1
0.2%
84000 1
0.2%
85000 3
0.5%
86000 2
0.3%
89000 1
0.2%
90000 5
0.9%
91455 1
0.2%
93000 1
0.2%
94000 1
0.2%
95000 3
0.5%
97000 1
0.2%
100000 25
4.3%
100420 1
0.2%
105000 2
0.3%
106000 1
0.2%
107000 1
0.2%
110000 3
0.5%
113000 1
0.2%
115000 1
0.2%
117500 1
0.2%
119000 1
0.2%
120000 6
1%
123000 2
0.3%
125000 1
0.2%
128000 1
0.2%
130000 3
0.5%
133000 1
0.2%
135115 1
0.2%
136000 1
0.2%
140000 2
0.3%
142000 1
0.2%
143000 1
0.2%
143500 1
0.2%
145000 2
0.3%
147000 2
0.3%
150000 10
1.7%
152500 1
0.2%
155000 5
0.9%
160000 4
0.7%
163118 1
0.2%
164000 1
0.2%
165000 1
0.2%
170000 2
0.3%
175000 3
0.5%
180000 2
0.3%
182000 1
0.2%
183000 1
0.2%
185000 1
0.2%
190000 1
0.2%
191000 1
0.2%
196000 1
0.2%
200000 11
1.9%
202000 1
0.2%
210000 3
0.5%
215000 1
0.2%
216535 1
0.2%
219000 1
0.2%
220000 2
0.3%
220790 1
0.2%
223750 1
0.2%
225000 3
0.5%
234000 1
0.2%
235000 2
0.3%
238000 1
0.2%
240000 1
0.2%
246033 1
0.2%
250000 6
1%
260000 1
0.2%
265217 1
0.2%
270000 4
0.7%
274000 1
0.2%
280000 3
0.5%
283000 1
0.2%
285000 1
0.2%
290000 2
0.3%
294000 2
0.3%
300000 15
2.6%
311000 1
0.2%
323416 1
0.2%
350000 1
0.2%
500000 4
0.7%
Sysmiss 20
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.
Back to Catalog