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

75492

Downloads

7588

Tehsil Code (Cluster information file FBS) (HH1BCo)

Data file: wm

Overview

Valid: 150814

Invalid: 0

Minimum: 1

Maximum: 150

Type: Discrete

Decimal: 0

Start: 248

End: 250

Width: 3

Range: 1 - 150

Format: Numeric

Questions and instructions

Categories

Value	Category	Cases
1	Ahmadpur East	1187	0.8%
2	Bahawalpur City	901	0.6%
3	Bahawalpur Sadar	776	0.5%
4	Hasilpur	814	0.5%
5	Khairpur Tammewali	765	0.5%
6	Yazman	1603	1.1%
7	Bahawalnagar	1020	0.7%
8	Chishtian	978	0.6%
9	Fortabbas	833	0.6%
10	Haroonabad	854	0.6%
11	Minchinabad	742	0.5%
12	Khanpur	1340	0.9%
13	Liaquat Pur	1457	1%
14	R.Y. Khan	1605	1.1%
15	Sadiqabad	1565	1%
16	D.G.Khan	1665	1.1%
17	Taunsa	803	0.5%
18	Choubara	1079	0.7%
19	Karor Lal Esan	1029	0.7%
20	Layyah	1231	0.8%
21	Alipur	770	0.5%
22	Jatoi	868	0.6%
23	Kot Addu	1330	0.9%
24	Muzaffar Garh	1461	1%
25	Jampur	892	0.6%
26	Rajanpur	869	0.6%
27	Rojhan	526	0.3%
28	Chak Jhumra	956	0.6%
29	Allama Iqbal	1473	1%
30	Jinnah	1179	0.8%
31	Lyallpur	1317	0.9%
32	Madina	1139	0.8%
33	Jaranwala	1641	1.1%
34	Sammundri	1280	0.8%
35	Tandlian Wala	1175	0.8%
36	Chiniot	1009	0.7%
37	Bhawana	662	0.4%
38	Lalian	815	0.5%
39	Ahmadpur Sial	765	0.5%
40	18-Hazari	907	0.6%
41	Jhang	1555	1%
42	Shorkot	877	0.6%
43	Gojra	1044	0.7%
44	Kamalia	1069	0.7%
45	T.T.Singh	1184	0.8%
46	Cantonment Area	576	0.4%
47	Arup	1034	0.7%
48	Khiali Shahpur	1189	0.8%
49	Nandi Pur	952	0.6%
50	Qila Didar Singh	1315	0.9%
51	Nowshera Virkan	1025	0.7%
52	Kamoke	977	0.6%
53	Wazirabad	1405	0.9%
54	Gujrat	1778	1.2%
55	Kharian	1588	1.1%
56	Sarai Alamgir	839	0.6%
57	Hafizabad	1103	0.7%
58	Pindi Bhattian	770	0.5%
59	Malakwal	737	0.5%
60	Mandi Bahaudin	967	0.6%
61	Phalia	864	0.6%
62	Narowal	1232	0.8%
63	Shakargarh	1691	1.1%
64	Zafarwal	822	0.5%
65	Daska	1376	0.9%
66	Pasrur	1547	1%
67	Sambrial	917	0.6%
68	Sialkot	1758	1.2%
69	Aziz Bhatti Town	878	0.6%
70	Data Baksh Town	706	0.5%
71	Gulberg Town	476	0.3%
72	Allama Iqbal Town	988	0.7%
73	Nishter Town	1099	0.7%
74	Ravi Town	549	0.4%
75	Samanabad Town	525	0.3%
76	Shalimar Town	711	0.5%
77	Wahga Town	849	0.6%
78	Chunian	1072	0.7%
79	Kasur	1450	1%
80	Kot Radha Kishan	834	0.6%
81	Pattoki	1260	0.8%
82	Shah Kot	739	0.5%
83	Sangla Hill	761	0.5%
84	Nankana Sahib	1313	0.9%
85	Ferozewala	1353	0.9%
86	Muridkay	1146	0.8%
87	Safdarabad	749	0.5%
88	Sharq Pur Sharif	865	0.6%
89	Sheikhupura	1365	0.9%
90	Bosan	925	0.6%
91	Mumtazabad (Mousa Pak)	1218	0.8%
92	Shah Rukn-E-Alam	1088	0.7%
93	Sher Shah	1023	0.7%
94	Jalalpur Pirwala	825	0.5%
95	Shujabad	807	0.5%
96	Jahanian	689	0.5%
97	Kabirwala	1364	0.9%
98	Khanewal	1105	0.7%
99	Mian Channu	1242	0.8%
100	Dunyapur	667	0.4%
101	Karoor Pacca	796	0.5%
102	Lodhran	996	0.7%
103	Burewala	1172	0.8%
104	Mailsi	1312	0.9%
105	Vehari	1178	0.8%
106	Gujar Khan	1240	0.8%
107	Kahuta	707	0.5%
108	Kallar Sayaddan	769	0.5%
109	Kotli Sattian	677	0.4%
110	Murree	601	0.4%
111	Taxila	1024	0.7%
112	Potohar	793	0.5%
113	Rawal Town	825	0.5%
114	Attock	661	0.4%
115	Fateh Jang	774	0.5%
116	Hazro	612	0.4%
117	Hasan Abdal	609	0.4%
118	Jand	611	0.4%
119	Pindi Gheb	696	0.5%
120	Chakwal	1106	0.7%
121	Choa Saidan Shah	643	0.4%
122	Kallar Kahar	689	0.5%
123	Talagang	702	0.5%
124	Dina	767	0.5%
125	Jhelum	979	0.6%
126	Pind Dadan Khan	773	0.5%
127	Sohawa	689	0.5%
128	Chichawatni	1263	0.8%
129	Sahiwal	1494	1%
130	Depalpur	1455	1%
131	Okara	1305	0.9%
132	Renala Khurd	736	0.5%
133	Arif Wala	1120	0.7%
134	Pakpattan	1268	0.8%
135	Bhalwal	1092	0.7%
136	Kot Momen	774	0.5%
137	Sahiwal	811	0.5%
138	Sargodha	1579	1%
139	Shahpur	671	0.4%
140	Sillanwali	724	0.5%
141	Bhakkar	1002	0.7%
142	Darya Khan	789	0.5%
143	Kalur Kot	694	0.5%
144	Mankera	763	0.5%
145	Khushab	1204	0.8%
146	Noorpur	625	0.4%
147	Quaidabad	694	0.5%
148	Essa Khel	645	0.4%
149	Mianwali	888	0.6%
150	Piplan	704	0.5%

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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