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    Home / Central Data Catalog / MICS / PAK_2017_MICS-PUN_V01_M / variable [F8]
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
112177
Downloads
18153
  • Study Description
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  • hl
  • hh
  • wm
  • bh
  • mn
  • ch
  • fs
  • mm

Districts (hh7)

Data file: mn

Overview

Valid: 39458
Invalid: 0
Minimum: 1
Maximum: 36
Type: Continuous
Decimal: 2
Start: 259
End: 263
Width: 5
Range: 1 - 36
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Bahawalpur 965
2.4%
2 Bahawalnagar 1001
2.5%
3 Ry khan 1217
3.1%
4 Dg khan 792
2%
5 Layyah 726
1.8%
6 Muzaffargarh 1034
2.6%
7 Rajanpur 602
1.5%
8 Faisalabad 2296
5.8%
9 Chiniot 645
1.6%
10 Jhang 961
2.4%
11 Tt singh 903
2.3%
12 Gujranwala 1673
4.2%
13 Gujrat 1050
2.7%
14 Hafizabad 681
1.7%
15 Mandi bahauddin 1219
3.1%
16 Narowal 761
1.9%
17 Sialkot 1182
3%
18 Lahore 2598
6.6%
19 Kasur 982
2.5%
20 Nankana sahib 766
1.9%
21 Sheikhupura 1193
3%
22 Multan 1858
4.7%
23 Khanewal 1035
2.6%
24 Lodhran 716
1.8%
25 Vehari 1021
2.6%
26 Rawalpindi 1969
5%
27 Attock 1089
2.8%
28 Chakwal 1018
2.6%
29 Jhelum 728
1.8%
30 Sahiwal 926
2.3%
31 Okara 948
2.4%
32 Pakpattan 658
1.7%
33 Sargodha 1203
3%
34 Bhakkar 1121
2.8%
35 Khushab 753
1.9%
36 Mianwali 1168
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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