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    Home / Central Data Catalog / MICS / PAK_2017_MICS-PUN_V01_M / variable [F9]
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
106041
Downloads
18144
  • Study Description
  • Data Description
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  • Data files
  • hl
  • hh
  • wm
  • bh
  • mn
  • ch
  • fs
  • mm

Districts (hh7)

Data file: ch

Overview

Valid: 42408
Invalid: 0
Minimum: 1
Maximum: 36
Type: Discrete
Decimal: 2
Start: 505
End: 509
Width: 5
Range: 1 - 36
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Bahawalpur 1140
2.7%
2 Bahawalnagar 1062
2.5%
3 Ry khan 1577
3.7%
4 Dg khan 1249
2.9%
5 Layyah 893
2.1%
6 Muzaffargarh 1423
3.4%
7 Rajanpur 956
2.3%
8 Faisalabad 2213
5.2%
9 Chiniot 695
1.6%
10 Jhang 1200
2.8%
11 Tt singh 926
2.2%
12 Gujranwala 1742
4.1%
13 Gujrat 1162
2.7%
14 Hafizabad 755
1.8%
15 Mandi bahauddin 1368
3.2%
16 Narowal 843
2%
17 Sialkot 1264
3%
18 Lahore 2268
5.3%
19 Kasur 1117
2.6%
20 Nankana sahib 784
1.8%
21 Sheikhupura 1184
2.8%
22 Multan 1965
4.6%
23 Khanewal 1077
2.5%
24 Lodhran 742
1.7%
25 Vehari 1111
2.6%
26 Rawalpindi 1845
4.4%
27 Attock 1132
2.7%
28 Chakwal 906
2.1%
29 Jhelum 681
1.6%
30 Sahiwal 958
2.3%
31 Okara 1082
2.6%
32 Pakpattan 699
1.6%
33 Sargodha 1176
2.8%
34 Bhakkar 1205
2.8%
35 Khushab 756
1.8%
36 Mianwali 1252
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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