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    Home / Central Data Catalog / AFG_2016_LCS_V01_M / variable [F2]
central

Living Conditions Survey 2016-2017

Afghanistan, 2016 - 2017
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Reference ID
AFG_2016_LCS_v01_M
Producer(s)
National Statistics and Information Authority (NSIA)
Metadata
DDI/XML JSON
Created on
Dec 04, 2019
Last modified
Dec 05, 2019
Page views
82792
Downloads
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  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • core_household_new
  • core_individual_new
  • h_01
  • h_02
  • h_03
  • h_04_10
  • h_11
  • h_12
  • h_13
  • h_14
  • h_22_23
  • h_24
  • h_25
  • male_shura_171211
  • weight_file

Province name (q_1_1a)

Data file: core_individual_new

Overview

Valid: 155680
Invalid: 0
Type: Discrete
Decimal: 0
Start: 70
End: 71
Width: 2
Range: 1 - 34
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Kabul 11861
7.6%
2 Kapisa 4083
2.6%
3 Parwan 4188
2.7%
4 Wardak 4319
2.8%
5 Logar 4568
2.9%
6 Nangarhar 6213
4%
7 Laghman 3917
2.5%
8 Panjsher 3656
2.3%
9 Baghlan 3695
2.4%
10 Bamyan 4044
2.6%
11 Ghazni 5159
3.3%
12 Paktika 2756
1.8%
13 Paktya 4581
2.9%
14 Khost 5798
3.7%
15 Kunarha 4545
2.9%
16 Nooristan 1702
1.1%
17 Badakhshan 4883
3.1%
18 Takhar 4523
2.9%
19 Kunduz 4775
3.1%
20 Samangan 3857
2.5%
21 Balkh 5620
3.6%
22 Sar-e-Pul 4064
2.6%
23 Ghor 3929
2.5%
24 Daykundi 3751
2.4%
25 Urozgan 2215
1.4%
26 Zabul 4944
3.2%
27 Kandahar 6775
4.4%
28 Jawzjan 4177
2.7%
29 Faryab 5334
3.4%
30 Helmand 4193
2.7%
31 Badghis 3794
2.4%
32 Herat 6030
3.9%
33 Farah 4222
2.7%
34 Nimroz 3509
2.3%
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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