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    Home / Central Data Catalog / AFG_2016_LCS_V01_M / variable [F9]
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
82198
Downloads
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  • Study Description
  • Data Dictionary
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  • 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

Q13.8. Country/province lived in 1393 (q_13_8)

Data file: h_13

Overview

Valid: 145054
Invalid: 10626
Type: Discrete
Decimal: 0
Start: 73
End: 75
Width: 3
Range: 1 - 85
Format: Numeric

Questions and instructions

Literal question
In which province of Afghan- istan or in which country did <name> live in <interview month> in 1393?
Categories
Value Category Cases
1 Kabul 10835
7.5%
2 Kapisa 3733
2.6%
3 Parwan 3853
2.7%
4 Wardak 4046
2.8%
5 Logar 4368
3%
6 Nangarhar 5395
3.7%
7 Laghman 3681
2.5%
8 Panjsher 3388
2.3%
9 Baghlan 3422
2.4%
10 Bamyan 3743
2.6%
11 Ghazni 4864
3.4%
12 Paktika 2455
1.7%
13 Paktya 4139
2.9%
14 Khost 5409
3.7%
15 Kunarha 4241
2.9%
16 Nooristan 1595
1.1%
17 Badakhshan 4551
3.1%
18 Takhar 4181
2.9%
19 Kunduz 4513
3.1%
20 Samangan 3569
2.5%
21 Balkh 5175
3.6%
22 Sar-e-Pul 3895
2.7%
23 Ghor 3625
2.5%
24 Daykundi 3458
2.4%
25 Urozgan 2055
1.4%
26 Zabul 4330
3%
27 Kandahar 6219
4.3%
28 Jawzjan 3893
2.7%
29 Faryab 4824
3.3%
30 Helmand 3967
2.7%
31 Badghis 3507
2.4%
32 Herat 5704
3.9%
33 Farah 3917
2.7%
34 Nimroz 3068
2.1%
41 Pakistan 821
0.6%
42 Iran 562
0.4%
45 India 0
0%
46 Malaysia 0
0%
47 Other Asian Countries 14
0%
51 Saudi Arabia 12
0%
52 United Arab Emirates 16
0%
54 Other Gulf States 0
0%
55 Syria 0
0%
58 North Africa and Western Asia, other countries 5
0%
59 Central Asia 0
0%
61 Germany 1
0%
62 United Kingdom 1
0%
63 Russia 2
0%
64 Other European countries 0
0%
66 United States of America 0
0%
67 Canada 0
0%
71 Australia 2
0%
75 Oceania, other countries 0
0%
81 Latin America 0
0%
85 Sub-Saharan Africa 0
0%
101 .A 1160
Sysmiss 9466
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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