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    Home / Central Data Catalog / MICS / PAK_2011_MICS-PUN_V01_M / variable [F1]
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
70733
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  • Study Description
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  • ch
  • hh
  • hl
  • wm

District Code (Cluster information file FBS) (HH1ACo)

Data file: ch

Overview

Valid: 74126
Invalid: 0
Minimum: 1
Maximum: 36
Type: Discrete
Decimal: 0
Start: 311
End: 312
Width: 2
Range: 1 - 36
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Bahawalpur 2993
4%
2 Bahawalnagar 2349
3.2%
3 R.Y. Khan 3406
4.6%
4 D.G.Khan 1592
2.1%
5 Layyah 1894
2.6%
6 Muzaffar Garh 2665
3.6%
7 Rajanpur 1615
2.2%
8 Faisalabad 4770
6.4%
9 Chiniot 1330
1.8%
10 Jhang 2358
3.2%
11 T.T.Singh 1568
2.1%
12 Gujranwala 4037
5.4%
13 Gujrat 1884
2.5%
14 Hafizabad 947
1.3%
15 Mandi Bahaudin 1129
1.5%
16 Narowal 1889
2.5%
17 Sialkot 2568
3.5%
18 Lahore 3499
4.7%
19 Kasur 2389
3.2%
20 Nankana Sahib 1622
2.2%
21 Sheikhupura 2378
3.2%
22 Multan 2917
3.9%
23 Khanewal 2168
2.9%
24 Lodhran 1072
1.4%
25 Vehari 1765
2.4%
26 Sahiwal 1199
1.6%
27 Pakpattan 1290
1.7%
28 Okara 1802
2.4%
29 Rawalpindi 2690
3.6%
30 Attock 1605
2.2%
31 Chakwal 1123
1.5%
32 Jhelum 1336
1.8%
33 Sargodha 2761
3.7%
34 Bhakkar 1511
2%
35 Khushab 1103
1.5%
36 Mianwali 902
1.2%
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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