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    Home / Central Data Catalog / MICS / PAK_2017_MICS-PUN_V01_M / variable [F3]
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
106426
Downloads
18144
  • Study Description
  • Data Description
  • Documentation
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  • Data files
  • hl
  • hh
  • wm
  • bh
  • mn
  • ch
  • fs
  • mm

Districts (HH7)

Data file: hh

Overview

Valid: 53840
Invalid: 0
Minimum: 1
Maximum: 36
Type: Discrete
Decimal: 0
Start: 24
End: 25
Width: 2
Range: 1 - 36
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Bahawalpur 1580
2.9%
2 Bahawalnagar 1420
2.6%
3 Ry khan 1780
3.3%
4 Dg khan 1080
2%
5 Layyah 1000
1.9%
6 Muzaffargarh 1580
2.9%
7 Rajanpur 820
1.5%
8 Faisalabad 3080
5.7%
9 Chiniot 860
1.6%
10 Jhang 1340
2.5%
11 Tt singh 1140
2.1%
12 Gujranwala 2100
3.9%
13 Gujrat 1600
3%
14 Hafizabad 940
1.7%
15 Mandi bahauddin 1760
3.3%
16 Narowal 960
1.8%
17 Sialkot 1640
3%
18 Lahore 3480
6.5%
19 Kasur 1340
2.5%
20 Nankana sahib 960
1.8%
21 Sheikhupura 1520
2.8%
22 Multan 2480
4.6%
23 Khanewal 1340
2.5%
24 Lodhran 960
1.8%
25 Vehari 1440
2.7%
26 Rawalpindi 2920
5.4%
27 Attock 1480
2.7%
28 Chakwal 1480
2.7%
29 Jhelum 1100
2%
30 Sahiwal 1240
2.3%
31 Okara 1200
2.2%
32 Pakpattan 960
1.8%
33 Sargodha 1460
2.7%
34 Bhakkar 1320
2.5%
35 Khushab 1000
1.9%
36 Mianwali 1480
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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