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

74432

Downloads

7586

Tehsil Code (HH1BCo)

Data file: hh

Overview

Valid: 102545

Invalid: 0

Minimum: 1

Maximum: 150

Type: Discrete

Decimal: 0

Start: 157

End: 159

Width: 3

Range: 1 - 150

Format: Numeric

Questions and instructions

Categories

Value	Category	Cases
1	Ahmadpur East	891	0.9%
2	Bahawalpur City	635	0.6%
3	Bahawalpur Sadar	529	0.5%
4	Hasilpur	556	0.5%
5	Khairpur Tammewali	539	0.5%
6	Yazman	1091	1.1%
7	Bahawalnagar	720	0.7%
8	Chishtian	693	0.7%
9	Fortabbas	550	0.5%
10	Haroonabad	538	0.5%
11	Minchinabad	552	0.5%
12	Khanpur	929	0.9%
13	Liaquat Pur	983	1%
14	R.Y. Khan	1069	1%
15	Sadiqabad	1029	1%
16	D.G.Khan	1250	1.2%
17	Taunsa	583	0.6%
18	Choubara	585	0.6%
19	Karor Lal Esan	661	0.6%
20	Layyah	833	0.8%
21	Alipur	564	0.6%
22	Jatoi	607	0.6%
23	Kot Addu	933	0.9%
24	Muzaffar Garh	1077	1.1%
25	Jampur	708	0.7%
26	Rajanpur	694	0.7%
27	Rojhan	476	0.5%
28	Chak Jhumra	599	0.6%
29	Allama Iqbal	882	0.9%
30	Jinnah	699	0.7%
31	Lyallpur	798	0.8%
32	Madina	738	0.7%
33	Jaranwala	1041	1%
34	Sammundri	825	0.8%
35	Tandlian Wala	792	0.8%
36	Chiniot	646	0.6%
37	Bhawana	469	0.5%
38	Lalian	555	0.5%
39	Ahmadpur Sial	536	0.5%
40	18-Hazari	624	0.6%
41	Jhang	1149	1.1%
42	Shorkot	616	0.6%
43	Gojra	672	0.7%
44	Kamalia	704	0.7%
45	T.T.Singh	761	0.7%
46	Cantonment Area	461	0.4%
47	Arup	642	0.6%
48	Khiali Shahpur	736	0.7%
49	Nandi Pur	565	0.6%
50	Qila Didar Singh	825	0.8%
51	Nowshera Virkan	618	0.6%
52	Kamoke	578	0.6%
53	Wazirabad	876	0.9%
54	Gujrat	1134	1.1%
55	Kharian	998	1%
56	Sarai Alamgir	542	0.5%
57	Hafizabad	732	0.7%
58	Pindi Bhattian	538	0.5%
59	Malakwal	531	0.5%
60	Mandi Bahaudin	649	0.6%
61	Phalia	581	0.6%
62	Narowal	829	0.8%
63	Shakargarh	1092	1.1%
64	Zafarwal	504	0.5%
65	Daska	868	0.8%
66	Pasrur	953	0.9%
67	Sambrial	540	0.5%
68	Sialkot	1084	1.1%
69	Aziz Bhatti Town	592	0.6%
70	Data Baksh Town	528	0.5%
71	Gulberg Town	432	0.4%
72	Allama Iqbal Town	808	0.8%
73	Nishter Town	824	0.8%
74	Ravi Town	397	0.4%
75	Samanabad Town	420	0.4%
76	Shalimar Town	468	0.5%
77	Wahga Town	560	0.5%
78	Chunian	748	0.7%
79	Kasur	1008	1%
80	Kot Radha Kishan	540	0.5%
81	Pattoki	805	0.8%
82	Shah Kot	520	0.5%
83	Sangla Hill	488	0.5%
84	Nankana Sahib	956	0.9%
85	Ferozewala	914	0.9%
86	Muridkay	741	0.7%
87	Safdarabad	480	0.5%
88	Sharq Pur Sharif	588	0.6%
89	Sheikhupura	892	0.9%
90	Bosan	672	0.7%
91	Mumtazabad (Mousa Pak)	812	0.8%
92	Shah Rukn-E-Alam	721	0.7%
93	Sher Shah	700	0.7%
94	Jalalpur Pirwala	556	0.5%
95	Shujabad	541	0.5%
96	Jahanian	468	0.5%
97	Kabirwala	872	0.9%
98	Khanewal	747	0.7%
99	Mian Channu	832	0.8%
100	Dunyapur	500	0.5%
101	Karoor Pacca	572	0.6%
102	Lodhran	661	0.6%
103	Burewala	842	0.8%
104	Mailsi	897	0.9%
105	Vehari	819	0.8%
106	Gujar Khan	907	0.9%
107	Kahuta	509	0.5%
108	Kallar Sayaddan	544	0.5%
109	Kotli Sattian	528	0.5%
110	Murree	452	0.4%
111	Taxila	670	0.7%
112	Potohar	547	0.5%
113	Rawal Town	589	0.6%
114	Attock	472	0.5%
115	Fateh Jang	560	0.5%
116	Hazro	457	0.4%
117	Hasan Abdal	426	0.4%
118	Jand	452	0.4%
119	Pindi Gheb	504	0.5%
120	Chakwal	746	0.7%
121	Choa Saidan Shah	460	0.4%
122	Kallar Kahar	500	0.5%
123	Talagang	512	0.5%
124	Dina	520	0.5%
125	Jhelum	677	0.7%
126	Pind Dadan Khan	526	0.5%
127	Sohawa	502	0.5%
128	Chichawatni	893	0.9%
129	Sahiwal	991	1%
130	Depalpur	1128	1.1%
131	Okara	968	0.9%
132	Renala Khurd	524	0.5%
133	Arif Wala	819	0.8%
134	Pakpattan	949	0.9%
135	Bhalwal	717	0.7%
136	Kot Momen	525	0.5%
137	Sahiwal	516	0.5%
138	Sargodha	1027	1%
139	Shahpur	473	0.5%
140	Sillanwali	457	0.4%
141	Bhakkar	649	0.6%
142	Darya Khan	501	0.5%
143	Kalur Kot	500	0.5%
144	Mankera	470	0.5%
145	Khushab	785	0.8%
146	Noorpur	445	0.4%
147	Quaidabad	444	0.4%
148	Essa Khel	440	0.4%
149	Mianwali	616	0.6%
150	Piplan	470	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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