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    Home / Central Data Catalog / MICS / PAK_2017_MICS-PUN_V01_M / variable [F5]
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
104355
Downloads
18144
  • Study Description
  • Data Description
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  • Data files
  • hl
  • hh
  • wm
  • bh
  • mn
  • ch
  • fs
  • mm

Districts (hh7)

Data file: wm

Overview

Valid: 79510
Invalid: 0
Minimum: 1
Maximum: 36
Type: Discrete
Decimal: 0
Start: 457
End: 458
Width: 2
Range: 1 - 36
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Bahawalpur 1968
2.5%
2 Bahawalnagar 1980
2.5%
3 Ry khan 2380
3%
4 Dg khan 1580
2%
5 Layyah 1481
1.9%
6 Muzaffargarh 2113
2.7%
7 Rajanpur 1138
1.4%
8 Faisalabad 4498
5.7%
9 Chiniot 1193
1.5%
10 Jhang 1976
2.5%
11 Tt singh 1879
2.4%
12 Gujranwala 3468
4.4%
13 Gujrat 2620
3.3%
14 Hafizabad 1437
1.8%
15 Mandi bahauddin 2685
3.4%
16 Narowal 1528
1.9%
17 Sialkot 2664
3.4%
18 Lahore 4969
6.2%
19 Kasur 1949
2.5%
20 Nankana sahib 1437
1.8%
21 Sheikhupura 2228
2.8%
22 Multan 3575
4.5%
23 Khanewal 2053
2.6%
24 Lodhran 1295
1.6%
25 Vehari 2018
2.5%
26 Rawalpindi 4000
5%
27 Attock 2276
2.9%
28 Chakwal 2053
2.6%
29 Jhelum 1712
2.2%
30 Sahiwal 1851
2.3%
31 Okara 1771
2.2%
32 Pakpattan 1345
1.7%
33 Sargodha 2297
2.9%
34 Bhakkar 2154
2.7%
35 Khushab 1509
1.9%
36 Mianwali 2430
3.1%
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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