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    Home / Central Data Catalog / MICS / PAK_2011_MICS-PUN_V01_M / variable [F3]
MICS

Multiple Indicator Cluster Survey, Punjab 2011

Pakistan, 2011
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Reference ID
PAK_2011_MICS-PUN_v01_M
Producer(s)
Bureau of Statistics, Planning and Development Department
Collection(s)
UNICEF Multiple Indicator Cluster Surveys (MICS)
Metadata
Documentation in PDF DDI/XML JSON
Study website
Created on
Jan 05, 2015
Last modified
Jan 05, 2015
Page views
71387
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  • Study Description
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  • ch
  • hh
  • hl
  • wm

District (HH1A)

Data file: hl

Overview

Valid: 599617
Invalid: 0
Minimum: 1
Maximum: 36
Type: Discrete
Decimal: 0
Start: 9
End: 10
Width: 2
Range: 1 - 36
Format: Numeric

Questions and instructions

Literal question
District
Categories
Value Category Cases
1 Bahawalpur 24540
4.1%
2 B. Nagar 17987
3%
3 RY Khan 24961
4.2%
4 DG Khan 10771
1.8%
5 Layyah 13376
2.2%
6 M. Garh 18936
3.2%
7 Rajanpur 10749
1.8%
8 Faisalabad 39350
6.6%
9 Chiniot 10300
1.7%
10 Jhang 17066
2.8%
11 TT Singh 12649
2.1%
12 Gujranwala 31686
5.3%
13 Gujrat 15612
2.6%
14 Hafizabad 7577
1.3%
15 M. Bahaudin 9983
1.7%
16 Narowal 15179
2.5%
17 Sialkot 21611
3.6%
18 Lahore 29061
4.8%
19 Kasur 19153
3.2%
20 N. Sahib 14152
2.4%
21 Sheikhupura 19001
3.2%
22 Multan 23625
3.9%
23 Khanewal 17536
2.9%
24 Lodhran 10032
1.7%
25 Vehari 14702
2.5%
26 Sahiwal 10749
1.8%
27 Pakpattan 9719
1.6%
28 Okara 14587
2.4%
29 Rawalpindi 24699
4.1%
30 Attock 14594
2.4%
31 Chakwal 11113
1.9%
32 Jhelum 11962
2%
33 Sargodha 21614
3.6%
34 Bhakkar 12819
2.1%
35 Khushab 9529
1.6%
36 Mianwali 8637
1.4%
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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