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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / NPL_2016-2018_HRVS_V01_EN_M_V01_A_OCS / variable [F219]
agricultural-surveys

Household Risk and Vulnerability Survey 2016-2018

Nepal, 2016 - 2018
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Reference ID
NPL_2016-2018_HRVS_v01_EN_M_v01_A_OCS
Producer(s)
The World Bank
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Oct 06, 2020
Last modified
Nov 08, 2022
Page views
174933
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  • Study Description
  • Data Dictionary
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  • Data files
  • Section_0
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  • Section_9a1
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  • Section_9a3
  • Section_9a4
  • Section_9b1
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  • Section_9c
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  • Section_10
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  • Section_5
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  • Section_6a
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  • Section_6c
  • Section_6d
  • Section_7
  • Section_8
  • Section_9a1
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  • Section_9a3
  • Section_9a4
  • Section_9b1
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  • Section_9c
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  • Section_9f
  • Section_10
  • Section_11
  • Section_12a
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  • Section_16
  • Section_17
  • Section_0
  • Section_1
  • Section_2
  • Section_3a
  • Section_3b
  • Section_4a
  • Section_4b
  • Section_5
  • Section_0
  • Section_1
  • Section_2
  • Section_3
  • Section_4
  • Section_5a
  • Section_5b
  • Section_6a
  • Section_6b
  • Section_6c
  • Section_6d
  • Section_7
  • Section_8
  • Section_9a1
  • Section_9a2
  • Section_9a3
  • Section_9a4
  • Section_9b1
  • Section_9b2
  • Section_9c
  • Section_9d
  • Section_9e
  • Section_9f
  • Section_10
  • Section_11
  • Section_12a
  • Section_12b
  • Section_12c
  • Section_12d
  • Section_13a
  • Section_13b
  • Section_13c
  • Section_13d
  • Section_14a
  • Section_14c
  • Section_15b
  • Section_16
  • Section_17
  • Section_16
  • Section_4a
  • Section_4b
  • Section_1
  • Section_11a
  • Section_14b
  • Section_15a

PSU Number (psu)

Data file: Section_9b2

Overview

Valid: 10108
Invalid: 0
Type: Discrete
Decimal: 0
Start: 5
End: 5
Width: 1
Range: 1 - 9
Format: Numeric

Questions and instructions

Literal question
PSU Number
Categories
Value Category Cases
1 1187
11.7%
2 1017
10.1%
3 1378
13.6%
4 904
8.9%
5 1413
14%
6 1002
9.9%
7 1075
10.6%
8 1056
10.4%
9 1076
10.6%
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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