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    Home / Central Data Catalog / NPL-NSO-NCCS-2022-V01 / variable [F3]
central

National Climate Change Survey 2022

Nepal, 2023
Agriculture, Forestry and Fisheries
National Statistics Office (NSO)
Created on June 26, 2026 Last modified June 26, 2026 Page views 2098 Download 18 Documentation in PDF Metadata DDI/XML JSON
  • Study description
  • Documentation
  • Data Description
  • Get Microdata
  • Data files
  • S01_Introduction
    section
  • S02_1 Personal
    Information
  • S02_2 Household
    Information
  • S03_Landholding
    Information
  • S04_Access to
    social and
    economic
    services
  • S05_Household
    Income
  • S06_Basic
    informaton on
    Climate Change
    related
    knowledge
  • S06_2 Seasonal
    change
  • S06_3_impact of
    climate induced
    disasters
  • S07_1_Impact on
    daily life
  • S07_2_Impact on
    Physical Assets
  • S08_disease and
    Health impact
  • S09_Impact on
    water sources
    and energy
  • S10_1_Change
    observe
  • S10_2_Prevalence
    of invasive
    species
  • S10_3_Change
    fertilization
    timing
  • S11_Adaptation
    of Climate
    change
  • Weight
CSV JSON

B19. Amount received from remittance (b19)

Data file: S02_2 Household Information

Overview

Valid: 1509
Invalid: 4999
Type: Discrete
Decimal: 0
Width: 12
Range: 0 - 10000000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 Not received 41
2.7%
5000 1
0.1%
8000 2
0.1%
10000 10
0.7%
12000 1
0.1%
15000 6
0.4%
18000 1
0.1%
20000 11
0.7%
21000 1
0.1%
23000 1
0.1%
25000 9
0.6%
30000 15
1%
32000 1
0.1%
35000 7
0.5%
40000 13
0.9%
45000 1
0.1%
48000 2
0.1%
50000 87
5.8%
55000 3
0.2%
60000 52
3.4%
65000 1
0.1%
70000 7
0.5%
72000 1
0.1%
75000 1
0.1%
80000 7
0.5%
84000 1
0.1%
85000 2
0.1%
90000 5
0.3%
100000 120
8%
105000 1
0.1%
120000 23
1.5%
125000 4
0.3%
140000 1
0.1%
144000 2
0.1%
150000 78
5.2%
160000 4
0.3%
180000 8
0.5%
190000 1
0.1%
200000 149
9.9%
210000 1
0.1%
230000 1
0.1%
240000 19
1.3%
250000 46
3%
254000 1
0.1%
270000 1
0.1%
275000 1
0.1%
280000 2
0.1%
300000 137
9.1%
310000 1
0.1%
320000 1
0.1%
340000 2
0.1%
350000 22
1.5%
360000 23
1.5%
400000 106
7%
412000 1
0.1%
420000 3
0.2%
450000 13
0.9%
480000 13
0.9%
500000 137
9.1%
510000 2
0.1%
540000 1
0.1%
550000 1
0.1%
560000 4
0.3%
580000 1
0.1%
590000 1
0.1%
600000 78
5.2%
610000 3
0.2%
614400 1
0.1%
620000 1
0.1%
630000 1
0.1%
640000 3
0.2%
650000 2
0.1%
655000 1
0.1%
660000 1
0.1%
680000 1
0.1%
700000 28
1.9%
720000 6
0.4%
730000 1
0.1%
735000 1
0.1%
740000 1
0.1%
750000 1
0.1%
800000 20
1.3%
810000 2
0.1%
820000 1
0.1%
830000 1
0.1%
840000 6
0.4%
900000 11
0.7%
910000 1
0.1%
930000 1
0.1%
960000 1
0.1%
1000000 23
1.5%
1080000 1
0.1%
1100000 1
0.1%
1200000 42
2.8%
1210000 1
0.1%
1220000 1
0.1%
1500000 14
0.9%
1600000 2
0.1%
1800000 2
0.1%
2000000 3
0.2%
2400000 4
0.3%
3000000 5
0.3%
3500000 1
0.1%
3600000 1
0.1%
4000000 1
0.1%
4500000 1
0.1%
4800000 2
0.1%
6000000 3
0.2%
7000000 1
0.1%
7500000 1
0.1%
8000000 1
0.1%
9900000 1
0.1%
10000000 1
0.1%
Sysmiss 4999
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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