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    Home / Central Data Catalog / MICS / PAK_2017_MICS-PUN_V01_M / variable [F6]
MICS

Multiple Indicator Cluster Survey 2017-2018, Punjab

Pakistan, 2017 - 2018
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Reference ID
PAK_2017_MICS-PUN_v01_M
Producer(s)
Bureau of Statistics, United Nations Children’s Fund
Collection(s)
UNICEF Multiple Indicator Cluster Surveys (MICS)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Dec 05, 2019
Last modified
Dec 05, 2019
Page views
108525
Downloads
18146
  • Study Description
  • Data Description
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  • Data files
  • hl
  • hh
  • wm
  • bh
  • mn
  • ch
  • fs
  • mm

Districts (hh7)

Data file: bh

Overview

Valid: 157899
Invalid: 0
Minimum: 1
Maximum: 36
Type: Discrete
Decimal: 0
Start: 81
End: 82
Width: 2
Range: 1 - 36
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Bahawalpur 4163
2.6%
2 Bahawalnagar 3899
2.5%
3 Ry khan 5477
3.5%
4 Dg khan 4234
2.7%
5 Layyah 3293
2.1%
6 Muzaffargarh 5743
3.6%
7 Rajanpur 3266
2.1%
8 Faisalabad 8342
5.3%
9 Chiniot 2601
1.6%
10 Jhang 4366
2.8%
11 Tt singh 3533
2.2%
12 Gujranwala 6575
4.2%
13 Gujrat 4492
2.8%
14 Hafizabad 2978
1.9%
15 Mandi bahauddin 4928
3.1%
16 Narowal 3110
2%
17 Sialkot 5059
3.2%
18 Lahore 8797
5.6%
19 Kasur 4011
2.5%
20 Nankana sahib 2913
1.8%
21 Sheikhupura 4438
2.8%
22 Multan 7641
4.8%
23 Khanewal 4269
2.7%
24 Lodhran 3049
1.9%
25 Vehari 4226
2.7%
26 Rawalpindi 6754
4.3%
27 Attock 4063
2.6%
28 Chakwal 3387
2.1%
29 Jhelum 2749
1.7%
30 Sahiwal 3576
2.3%
31 Okara 3890
2.5%
32 Pakpattan 2554
1.6%
33 Sargodha 4348
2.8%
34 Bhakkar 4462
2.8%
35 Khushab 2473
1.6%
36 Mianwali 4240
2.7%
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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