India - Urban Slums Survey, July 2012 - December 2012, NSS 69th Round
Reference ID | DDI-IND-MOSPI-NSSO-69Rnd-Sch-0dot21-2012 |
Year | 2012 |
Country | India |
Producer(s) | National Sample Survey Office - M/o Statistcs and Programme Implementation(MOSPI),Government of India (GOI) |
Sponsor(s) | M/o Statistics & Programme Implementation, GOI - MOSPI - |
Collection(s) | |
Metadata | Documentation in PDF |
Created on
Jan 18, 2018
Last modified
Mar 27, 2019
Page views
166179
- Block-1-Identificati
on of sample UFS blo
ck - Block-2-some salient
features of the slu
m(s) lying wholly or
partly within the s
ample UFS block - Block-3 - Characteri
stics of slum(s) lyi
ng wholly or partly
within the sample - Block-4-Change durin
g the last 5 years i
n the condition of t
he slum(s) lying who
lly or partly within
the sample UFS bloc
k. - Block-5-Particulars
of field operations
District
(District_Code)
File: Block-3 - Characteristics of slum(s) lying wholly or partly within the sample
File: Block-3 - Characteristics of slum(s) lying wholly or partly within the sample
Overview
Type:
Discrete Format: character Width: 4 | Valid cases: 881 Invalid: 0 |
Value | Category | Cases | |
---|---|---|---|
0101 | Kupwara | 0 | 0.0% |
0102 | Baramula | 2 | 0.2% |
0103 | Srinagar | 3 | 0.3% |
0104 | Badgam | 3 | 0.3% |
0105 | Pulwama | 0 | 0.0% |
0106 | Anantnag | 0 | 0.0% |
0107 | Leh (Ladakh) | 0 | 0.0% |
0108 | Kargil | 0 | 0.0% |
0109 | Doda | 0 | 0.0% |
0110 | Udhampur | 0 | 0.0% |
0111 | Punch | 0 | 0.0% |
0112 | Rajauri | 0 | 0.0% |
0113 | Jammu | 3 | 0.3% |
0114 | Kathua | 0 | 0.0% |
0115 | Samba | 0 | 0.0% |
0116 | Kishtwar | 0 | 0.0% |
0117 | Reasi | 0 | 0.0% |
0118 | Ramban | 0 | 0.0% |
0119 | Ganderbal | 0 | 0.0% |
0120 | Kulgam | 0 | 0.0% |
0121 | Shopian | 0 | 0.0% |
0122 | Bandipora | 0 | 0.0% |
0201 | Chamba | 0 | 0.0% |
0202 | Kangra | 0 | 0.0% |
0203 | Lahul & Spiti | 0 | 0.0% |
0204 | Kullu | 0 | 0.0% |
0205 | Mandi | 0 | 0.0% |
0206 | Hamirpur | 0 | 0.0% |
0207 | Una | 1 | 0.1% |
0208 | Bilaspur | 0 | 0.0% |
0209 | Solan | 0 | 0.0% |
0210 | Sirmaur | 0 | 0.0% |
0211 | Shimla | 0 | 0.0% |
0212 | Kinnaur | 0 | 0.0% |
0301 | Gurdaspur | 1 | 0.1% |
0302 | Amritsar | 3 | 0.3% |
0303 | Kapurthala | 0 | 0.0% |
0304 | Jalandhar | 1 | 0.1% |
0305 | Hoshiarpur | 1 | 0.1% |
0306 | Nawanshahr * | 0 | 0.0% |
0307 | Rupnagar | 0 | 0.0% |
0308 | Fatehgarh Sahib * | 0 | 0.0% |
0309 | Ludhiana | 2 | 0.2% |
0310 | Moga * | 1 | 0.1% |
0311 | Firozpur | 2 | 0.2% |
0312 | Muktsar * | 0 | 0.0% |
0313 | Faridkot | 1 | 0.1% |
0314 | Bathinda | 0 | 0.0% |
0315 | Mansa * | 0 | 0.0% |
0316 | Sangrur | 0 | 0.0% |
0317 | Patiala | 1 | 0.1% |
0318 | S J A S Nagar (Mohali) | 3 | 0.3% |
0319 | Barnala | 0 | 0.0% |
0320 | Tarn Taran | 1 | 0.1% |
0401 | Chandigarh | 4 | 0.5% |
0501 | Uttarkashi | 0 | 0.0% |
0502 | Chamoli | 0 | 0.0% |
0503 | Rudraprayag * | 0 | 0.0% |
0504 | Tehri Garhwal | 0 | 0.0% |
0505 | Dehradun | 2 | 0.2% |
0506 | Garhwal | 0 | 0.0% |
0507 | Pithoragarh | 0 | 0.0% |
0508 | Bageshwar | 0 | 0.0% |
0509 | Almora | 0 | 0.0% |
0510 | Champawat | 0 | 0.0% |
0511 | Nainital | 0 | 0.0% |
0512 | Udham Singh Nagar * | 3 | 0.3% |
0513 | Hardwar | 0 | 0.0% |
0601 | Panchkula * | 3 | 0.3% |
0602 | Ambala | 0 | 0.0% |
0603 | Yamunanagar | 0 | 0.0% |
0604 | Kurukshetra | 0 | 0.0% |
0605 | Kaithal | 0 | 0.0% |
0606 | Karnal | 0 | 0.0% |
0607 | Panipat | 0 | 0.0% |
0608 | Sonipat | 0 | 0.0% |
0609 | Jind | 0 | 0.0% |
0610 | Fatehabad * | 0 | 0.0% |
0611 | Sirsa | 0 | 0.0% |
0612 | Hisar | 0 | 0.0% |
0613 | Bhiwani | 0 | 0.0% |
0614 | Rohtak | 0 | 0.0% |
0615 | Jhajjar * | 0 | 0.0% |
0616 | Mahendragarh | 0 | 0.0% |
0617 | Rewari | 0 | 0.0% |
0618 | Gurgaon | 0 | 0.0% |
0619 | Faridabad | 4 | 0.5% |
0620 | Mewat | 0 | 0.0% |
0621 | Palwal | 0 | 0.0% |
0701 | North West | 0 | 0.0% |
0702 | North | 0 | 0.0% |
0703 | North East | 0 | 0.0% |
0704 | East | 0 | 0.0% |
0707 | West | 0 | 0.0% |
0708 | South West | 0 | 0.0% |
0709 | South | 0 | 0.0% |
0799 | Delhi | 12 | 1.4% |
0801 | Ganganagar | 1 | 0.1% |
0802 | Hanumangarh * | 1 | 0.1% |
0803 | Bikaner | 3 | 0.3% |
0804 | Churu | 0 | 0.0% |
0805 | Jhunjhunun | 0 | 0.0% |
0806 | Alwar | 5 | 0.6% |
0807 | Bharatpur | 2 | 0.2% |
0808 | Dhaulpur | 1 | 0.1% |
0809 | Karauli * | 0 | 0.0% |
0810 | Sawai Madhopur | 0 | 0.0% |
0811 | Dausa * | 0 | 0.0% |
0812 | Jaipur | 4 | 0.5% |
0813 | Sikar | 1 | 0.1% |
0814 | Nagaur | 0 | 0.0% |
0815 | Jodhpur | 4 | 0.5% |
0816 | Jaisalmer | 7 | 0.8% |
0817 | Barmer | 0 | 0.0% |
0818 | Jalor | 0 | 0.0% |
0819 | Sirohi | 1 | 0.1% |
0820 | Pali | 4 | 0.5% |
0821 | Ajmer | 3 | 0.3% |
0822 | Tonk | 0 | 0.0% |
0823 | Bundi | 0 | 0.0% |
0824 | Bhilwara | 1 | 0.1% |
0825 | Rajsamand * | 0 | 0.0% |
0826 | Udaipur | 2 | 0.2% |
0827 | Dungarpur | 0 | 0.0% |
0828 | Banswara | 0 | 0.0% |
0829 | Chittaurgarh | 0 | 0.0% |
0830 | Kota | 1 | 0.1% |
0831 | Baran * | 0 | 0.0% |
0832 | Jhalawar | 0 | 0.0% |
0833 | Pratapgarh | 0 | 0.0% |
0901 | Saharanpur | 0 | 0.0% |
0902 | Muzaffarnagar | 0 | 0.0% |
0903 | Bijnor | 0 | 0.0% |
0904 | Moradabad | 2 | 0.2% |
0905 | Rampur | 0 | 0.0% |
0906 | Jyotiba Phule Nagar * | 0 | 0.0% |
0907 | Meerut | 1 | 0.1% |
0908 | Baghpat * | 0 | 0.0% |
0909 | Ghaziabad | 2 | 0.2% |
0910 | Gautam Buddha Nagar * | 4 | 0.5% |
0911 | Bulandshahar | 0 | 0.0% |
0912 | Aligarh | 1 | 0.1% |
0913 | Hathras * | 0 | 0.0% |
0914 | Mathura | 0 | 0.0% |
0915 | Agra | 6 | 0.7% |
0916 | Firozabad | 1 | 0.1% |
0917 | Etah | 0 | 0.0% |
0918 | Mainpuri | 0 | 0.0% |
0919 | Budaun | 0 | 0.0% |
0920 | Bareilly | 3 | 0.3% |
0921 | Pilibhit | 0 | 0.0% |
0922 | Shahjahanpur | 0 | 0.0% |
0923 | Kheri | 0 | 0.0% |
0924 | Sitapur | 0 | 0.0% |
0925 | Hardoi | 0 | 0.0% |
0926 | Unnao | 0 | 0.0% |
0927 | Lucknow | 7 | 0.8% |
0928 | Rae Bareli | 0 | 0.0% |
0929 | Farrukhabad | 2 | 0.2% |
0930 | Kannauj * | 0 | 0.0% |
0931 | Etawah | 0 | 0.0% |
0932 | Auraiya * | 0 | 0.0% |
0933 | Kanpur Dehat | 0 | 0.0% |
0934 | Kanpur Nagar | 10 | 1.1% |
0935 | Jalaun | 0 | 0.0% |
0936 | Jhansi | 0 | 0.0% |
0937 | Lalitpur | 0 | 0.0% |
0938 | Hamirpur | 0 | 0.0% |
0939 | Mahoba * | 0 | 0.0% |
0940 | Banda | 0 | 0.0% |
0941 | Chitrakoot * | 0 | 0.0% |
0942 | Fatehpur | 0 | 0.0% |
0943 | Pratapgarh | 0 | 0.0% |
0944 | Kaushambi * | 0 | 0.0% |
0945 | Allahabad | 5 | 0.6% |
0946 | Barabanki | 0 | 0.0% |
0947 | Faizabad | 0 | 0.0% |
0948 | Ambedkar Nagar * | 0 | 0.0% |
0949 | Sultanpur | 0 | 0.0% |
0950 | Bahraich | 0 | 0.0% |
0951 | Shrawasti * | 0 | 0.0% |
0952 | Balrampur * | 0 | 0.0% |
0953 | Gonda | 0 | 0.0% |
0954 | Siddharthnagar | 0 | 0.0% |
0955 | Basti | 0 | 0.0% |
0956 | Sant Kabir Nagar * | 0 | 0.0% |
0957 | Mahrajganj | 0 | 0.0% |
0958 | Gorakhpur | 0 | 0.0% |
0959 | Kushinagar * | 0 | 0.0% |
0960 | Deoria | 0 | 0.0% |
0961 | Azamgarh | 0 | 0.0% |
0962 | Mau | 0 | 0.0% |
0963 | Ballia | 0 | 0.0% |
0964 | Jaunpur | 0 | 0.0% |
0965 | Ghazipur | 0 | 0.0% |
0966 | Chandauli * | 0 | 0.0% |
0967 | Varanasi | 0 | 0.0% |
0968 | Sant Ravidas Nagar Bhadohi * | 0 | 0.0% |
0969 | Mirzapur | 0 | 0.0% |
0970 | Sonbhadra | 0 | 0.0% |
0971 | Kashiramnagar | 0 | 0.0% |
1001 | Pashchim Champaran | 3 | 0.3% |
1002 | Purba Champaran | 1 | 0.1% |
1003 | Sheohar * | 0 | 0.0% |
1004 | Sitamarhi | 0 | 0.0% |
1005 | Madhubani | 0 | 0.0% |
1006 | Supaul * | 0 | 0.0% |
1007 | Araria | 2 | 0.2% |
1008 | Kishanganj | 0 | 0.0% |
1009 | Purnia | 1 | 0.1% |
1010 | Katihar | 0 | 0.0% |
1011 | Madhepura | 1 | 0.1% |
1012 | Saharsa | 0 | 0.0% |
1013 | Darbhanga | 0 | 0.0% |
1014 | Muzaffarpur | 0 | 0.0% |
1015 | Gopalganj | 0 | 0.0% |
1016 | Siwan | 0 | 0.0% |
1017 | Saran | 0 | 0.0% |
1018 | Vaishali | 0 | 0.0% |
1019 | Samastipur | 0 | 0.0% |
1020 | Begusarai | 3 | 0.3% |
1021 | Khagaria | 0 | 0.0% |
1022 | Bhagalpur | 2 | 0.2% |
1023 | Banka * | 0 | 0.0% |
1024 | Munger | 1 | 0.1% |
1025 | Lakhisarai * | 1 | 0.1% |
1026 | Sheikhpura * | 0 | 0.0% |
1027 | Nalanda | 0 | 0.0% |
1028 | Patna | 3 | 0.3% |
1029 | Bhojpur | 0 | 0.0% |
1030 | Buxar * | 0 | 0.0% |
1031 | Kaimur (Bhabua)* | 0 | 0.0% |
1032 | Rohtas | 0 | 0.0% |
1033 | Jehanabad | 0 | 0.0% |
1034 | Aurangabad | 0 | 0.0% |
1035 | Gaya | 1 | 0.1% |
1036 | Nawada | 0 | 0.0% |
1037 | Jamui * | 2 | 0.2% |
1038 | Arwal | 0 | 0.0% |
1101 | North | 0 | 0.0% |
1102 | West | 0 | 0.0% |
1103 | South | 0 | 0.0% |
1104 | East | 0 | 0.0% |
1201 | Tawang | 0 | 0.0% |
1202 | West Kameng | 0 | 0.0% |
1203 | East Kameng | 0 | 0.0% |
1204 | Papum Pare * | 0 | 0.0% |
1205 | Lower Subansiri | 0 | 0.0% |
1206 | Upper Subansiri | 0 | 0.0% |
1207 | West Siang | 2 | 0.2% |
1208 | East Siang | 0 | 0.0% |
1209 | Upper Siang * | 0 | 0.0% |
1210 | Dibang Valley | 0 | 0.0% |
1211 | Lohit | 0 | 0.0% |
1212 | Changlang | 2 | 0.2% |
1213 | Tirap | 0 | 0.0% |
1214 | Anjaw | 0 | 0.0% |
1215 | Kurungkumey | 0 | 0.0% |
1216 | Lower Dibang Valley | 0 | 0.0% |
1301 | Mon | 0 | 0.0% |
1302 | Tuensang | 0 | 0.0% |
1303 | Mokokchung | 0 | 0.0% |
1304 | Zunheboto | 0 | 0.0% |
1305 | Wokha | 0 | 0.0% |
1306 | Dimapur * | 0 | 0.0% |
1307 | Kohima | 0 | 0.0% |
1308 | Phek | 0 | 0.0% |
1309 | Kiphire | 0 | 0.0% |
1310 | Longleng | 0 | 0.0% |
1311 | Peren | 0 | 0.0% |
1401 | Senapati (Excluding 3 Sub-Divisions) | 0 | 0.0% |
1402 | Tamenglong | 0 | 0.0% |
1403 | Churachandpur | 0 | 0.0% |
1404 | Bishnupur | 0 | 0.0% |
1405 | Thoubal | 0 | 0.0% |
1406 | Imphal West | 0 | 0.0% |
1407 | Imphal East * | 0 | 0.0% |
1408 | Ukhrul | 0 | 0.0% |
1409 | Chandel | 0 | 0.0% |
1501 | Mamit * | 0 | 0.0% |
1502 | Kolasib * | 0 | 0.0% |
1503 | Aizawl | 4 | 0.5% |
1504 | Champhai * | 0 | 0.0% |
1505 | Serchhip * | 0 | 0.0% |
1506 | Lunglei | 0 | 0.0% |
1507 | Lawngtlai | 0 | 0.0% |
1508 | Saiha * | 0 | 0.0% |
1601 | West Tripura | 4 | 0.5% |
1602 | South Tripura | 0 | 0.0% |
1603 | Dhalai * | 0 | 0.0% |
1604 | North Tripura | 0 | 0.0% |
1701 | West Garo Hills | 0 | 0.0% |
1702 | East Garo Hills | 0 | 0.0% |
1703 | South Garo Hills * | 0 | 0.0% |
1704 | West Khasi Hills | 0 | 0.0% |
1705 | Ri Bhoi * | 0 | 0.0% |
1706 | East Khasi Hills | 2 | 0.2% |
1707 | Jaintia Hills | 0 | 0.0% |
1801 | Kokrajhar | 0 | 0.0% |
1802 | Dhubri | 1 | 0.1% |
1803 | Goalpara | 0 | 0.0% |
1804 | Bongaigaon | 0 | 0.0% |
1805 | Barpeta | 0 | 0.0% |
1806 | Kamrup | 1 | 0.1% |
1807 | Nalbari | 1 | 0.1% |
1808 | Darrang | 0 | 0.0% |
1809 | Marigaon | 0 | 0.0% |
1810 | Nagaon | 0 | 0.0% |
1811 | Sonitpur | 0 | 0.0% |
1812 | Lakhimpur | 0 | 0.0% |
1813 | Dhemaji | 0 | 0.0% |
1814 | Tinsukia | 0 | 0.0% |
1815 | Dibrugarh | 2 | 0.2% |
1816 | Sibsagar | 0 | 0.0% |
1817 | Jorhat | 2 | 0.2% |
1818 | Golaghat | 0 | 0.0% |
1819 | Karbi Anglong | 0 | 0.0% |
1820 | North Cachar Hills | 0 | 0.0% |
1821 | Cachar | 0 | 0.0% |
1822 | Karimganj | 0 | 0.0% |
1823 | Hailakandi | 0 | 0.0% |
1824 | Chirag | 0 | 0.0% |
1825 | Baksa | 0 | 0.0% |
1826 | Guwahati | 1 | 0.1% |
1827 | Udalguri | 0 | 0.0% |
1901 | Darjiling | 2 | 0.2% |
1902 | Jalpaiguri | 2 | 0.2% |
1903 | Koch Bihar | 3 | 0.3% |
1904 | Uttar Dinajpur | 4 | 0.5% |
1905 | Dakshin Dinajpur * | 1 | 0.1% |
1906 | Maldah | 2 | 0.2% |
1907 | Murshidabad | 3 | 0.3% |
1908 | Birbhum | 2 | 0.2% |
1909 | Barddhaman | 9 | 1.0% |
1910 | Nadia | 2 | 0.2% |
1911 | North Twenty Four Parganas | 10 | 1.1% |
1912 | Hugli | 5 | 0.6% |
1913 | Bankura | 4 | 0.5% |
1914 | Puruliya | 1 | 0.1% |
1915 | Pashim Midnapur | 3 | 0.3% |
1916 | Haora | 9 | 1.0% |
1917 | Kolkata | 22 | 2.5% |
1918 | South Twenty Four Parganas | 1 | 0.1% |
1919 | Purba Midnapur | 3 | 0.3% |
2001 | Garhwa | 0 | 0.0% |
2002 | Palamu | 0 | 0.0% |
2003 | Chatra * | 0 | 0.0% |
2004 | Hazaribagh | 0 | 0.0% |
2005 | Kodarma * | 0 | 0.0% |
2006 | Giridih | 1 | 0.1% |
2007 | Deoghar | 0 | 0.0% |
2008 | Godda | 0 | 0.0% |
2009 | Sahibganj | 0 | 0.0% |
2010 | Pakaur * | 0 | 0.0% |
2011 | Dumka | 0 | 0.0% |
2012 | Dhanbad | 3 | 0.3% |
2013 | Bokaro * | 2 | 0.2% |
2014 | Ranchi | 4 | 0.5% |
2015 | Lohardaga | 0 | 0.0% |
2016 | Gumla | 0 | 0.0% |
2017 | Pashchimi Singhbhum | 3 | 0.3% |
2018 | Purbi Singhbhum | 2 | 0.2% |
2019 | Latehar | 0 | 0.0% |
2020 | Simdega | 0 | 0.0% |
2021 | Jamtara | 1 | 0.1% |
2022 | Seraikela-kharsawan | 3 | 0.3% |
2023 | Ramgarh | 0 | 0.0% |
2024 | Khunti | 0 | 0.0% |
2101 | Bargarh * | 3 | 0.3% |
2102 | Jharsuguda * | 3 | 0.3% |
2103 | Sambalpur | 3 | 0.3% |
2104 | Debagarh * | 0 | 0.0% |
2105 | Sundargarh | 3 | 0.3% |
2106 | Kendujhar | 2 | 0.2% |
2107 | Mayurbhanj | 0 | 0.0% |
2108 | Baleshwar | 0 | 0.0% |
2109 | Bhadrak * | 0 | 0.0% |
2110 | Kendrapara * | 0 | 0.0% |
2111 | Jagatsinghapur * | 3 | 0.3% |
2112 | Cuttack | 3 | 0.3% |
2113 | Jajapur * | 0 | 0.0% |
2114 | Dhenkanal | 0 | 0.0% |
2115 | Anugul * | 2 | 0.2% |
2116 | Nayagarh * | 0 | 0.0% |
2117 | Khordha * | 3 | 0.3% |
2118 | Puri | 0 | 0.0% |
2119 | Ganjam | 0 | 0.0% |
2120 | Gajapati * | 0 | 0.0% |
2121 | Kandhamal | 0 | 0.0% |
2122 | Baudh * | 0 | 0.0% |
2123 | Sonapur * | 0 | 0.0% |
2124 | Balangir | 2 | 0.2% |
2125 | Nuapada * | 0 | 0.0% |
2126 | Kalahandi | 0 | 0.0% |
2127 | Rayagada * | 0 | 0.0% |
2128 | Nabarangapur * | 0 | 0.0% |
2129 | Koraput | 0 | 0.0% |
2130 | Malkangiri * | 0 | 0.0% |
2201 | Koriya * | 0 | 0.0% |
2202 | Surguja | 0 | 0.0% |
2203 | Jashpur * | 0 | 0.0% |
2204 | Raigarh | 0 | 0.0% |
2205 | Korba * | 1 | 0.1% |
2206 | Janjgir - Champa* | 2 | 0.2% |
2207 | Bilaspur | 1 | 0.1% |
2208 | Kawardha * | 4 | 0.5% |
2209 | Rajnandgaon | 4 | 0.5% |
2210 | Durg | 4 | 0.5% |
2211 | Raipur | 2 | 0.2% |
2212 | Mahasamund * | 3 | 0.3% |
2213 | Dhamtari * | 0 | 0.0% |
2214 | Kanker * | 0 | 0.0% |
2215 | Bastar | 2 | 0.2% |
2216 | Dantewada* | 2 | 0.2% |
2217 | Narayanpur | 0 | 0.0% |
2218 | Bijapur | 0 | 0.0% |
2301 | Sheopur * | 0 | 0.0% |
2302 | Morena | 0 | 0.0% |
2303 | Bhind | 0 | 0.0% |
2304 | Gwalior | 0 | 0.0% |
2305 | Datia | 0 | 0.0% |
2306 | Shivpuri | 1 | 0.1% |
2307 | Guna | 0 | 0.0% |
2308 | Tikamgarh | 0 | 0.0% |
2309 | Chhatarpur | 5 | 0.6% |
2310 | Panna | 0 | 0.0% |
2311 | Sagar | 3 | 0.3% |
2312 | Damoh | 2 | 0.2% |
2313 | Satna | 0 | 0.0% |
2314 | Rewa | 0 | 0.0% |
2315 | Umaria * | 0 | 0.0% |
2316 | Shahdol | 0 | 0.0% |
2317 | Sidhi | 0 | 0.0% |
2318 | Neemuch * | 3 | 0.3% |
2319 | Mandsaur | 0 | 0.0% |
2320 | Ratlam | 2 | 0.2% |
2321 | Ujjain | 9 | 1.0% |
2322 | Shajapur | 3 | 0.3% |
2323 | Dewas | 6 | 0.7% |
2324 | Jhabua | 1 | 0.1% |
2325 | Dhar | 1 | 0.1% |
2326 | Indore | 7 | 0.8% |
2327 | West Nimar | 2 | 0.2% |
2328 | Barwani * | 0 | 0.0% |
2329 | East Nimar | 3 | 0.3% |
2330 | Rajgarh | 3 | 0.3% |
2331 | Vidisha | 3 | 0.3% |
2332 | Bhopal | 4 | 0.5% |
2333 | Sheopur * | 4 | 0.5% |
2334 | Morena | 3 | 0.3% |
2335 | Bhind | 2 | 0.2% |
2336 | Gwalior | 0 | 0.0% |
2337 | Datia | 3 | 0.3% |
2338 | Shivpuri | 0 | 0.0% |
2339 | Guna | 0 | 0.0% |
2340 | Sheopur * | 0 | 0.0% |
2341 | Morena | 0 | 0.0% |
2342 | Bhind | 0 | 0.0% |
2343 | Gwalior | 1 | 0.1% |
2344 | Datia | 0 | 0.0% |
2345 | Shivpuri | 0 | 0.0% |
2346 | Guna | 2 | 0.2% |
2347 | Tikamgarh | 0 | 0.0% |
2348 | Chhatarpur | 1 | 0.1% |
2349 | Panna | 0 | 0.0% |
2350 | Sagar | 0 | 0.0% |
2401 | Kachchh | 1 | 0.1% |
2402 | Banas Kantha | 0 | 0.0% |
2403 | Patan * | 0 | 0.0% |
2404 | Mahesana | 0 | 0.0% |
2405 | Sabar Kantha | 0 | 0.0% |
2406 | Gandhinagar | 8 | 0.9% |
2407 | Ahmadabad | 4 | 0.5% |
2408 | Surendranagar | 2 | 0.2% |
2409 | Rajkot | 6 | 0.7% |
2410 | Jamnagar | 1 | 0.1% |
2411 | Porbandar * | 0 | 0.0% |
2412 | Junagadh | 0 | 0.0% |
2413 | Amreli | 0 | 0.0% |
2414 | Bhavnagar | 3 | 0.3% |
2415 | Anand * | 0 | 0.0% |
2416 | Kheda | 1 | 0.1% |
2417 | Panch Mahals | 2 | 0.2% |
2418 | Dohad * | 2 | 0.2% |
2419 | Vadodara | 9 | 1.0% |
2420 | Narmada * | 0 | 0.0% |
2421 | Bharuch | 3 | 0.3% |
2422 | Surat | 7 | 0.8% |
2423 | The Dangs | 0 | 0.0% |
2424 | Navsari * | 2 | 0.2% |
2425 | Valsad | 3 | 0.3% |
2426 | Tapi | 3 | 0.3% |
2501 | Diu | 0 | 0.0% |
2502 | Daman | 4 | 0.5% |
2601 | Dadra & Nagar Haveli | 4 | 0.5% |
2701 | Nandurbar * | 3 | 0.3% |
2702 | Dhule | 2 | 0.2% |
2703 | Jalgaon | 4 | 0.5% |
2704 | Buldana | 4 | 0.5% |
2705 | Akola | 3 | 0.3% |
2706 | Washim * | 5 | 0.6% |
2707 | Amravati | 7 | 0.8% |
2708 | Wardha | 1 | 0.1% |
2709 | Nagpur | 4 | 0.5% |
2710 | Bhandara | 0 | 0.0% |
2711 | Gondiya * | 2 | 0.2% |
2712 | Gadchiroli | 1 | 0.1% |
2713 | Chandrapur | 3 | 0.3% |
2714 | Yavatmal | 4 | 0.5% |
2715 | Nanded | 4 | 0.5% |
2716 | Hingoli * | 1 | 0.1% |
2717 | Parbhani | 4 | 0.5% |
2718 | Jalna | 3 | 0.3% |
2719 | Aurangabad | 6 | 0.7% |
2720 | Nashik | 5 | 0.6% |
2721 | Thane | 22 | 2.5% |
2722 | Mumbai Suburban | 35 | 4.0% |
2724 | Raigarh | 3 | 0.3% |
2725 | Pune | 14 | 1.6% |
2726 | Ahmadnagar | 1 | 0.1% |
2727 | Bid | 3 | 0.3% |
2728 | Latur | 1 | 0.1% |
2729 | Osmanabad | 2 | 0.2% |
2730 | Solapur | 3 | 0.3% |
2731 | Satara | 3 | 0.3% |
2732 | Ratnagiri | 0 | 0.0% |
2733 | Sindhudurg | 0 | 0.0% |
2734 | Kolhapur | 1 | 0.1% |
2735 | Sangli | 2 | 0.2% |
2801 | Adilabad | 4 | 0.5% |
2802 | Nizamabad | 3 | 0.3% |
2803 | Karimnagar | 3 | 0.3% |
2804 | Medak | 5 | 0.6% |
2805 | Hyderabad | 10 | 1.1% |
2806 | Rangareddi | 0 | 0.0% |
2807 | Mahbubnagar | 2 | 0.2% |
2808 | Nalgonda | 5 | 0.6% |
2809 | Warangal | 2 | 0.2% |
2810 | Khammam | 1 | 0.1% |
2811 | Srikakulam | 7 | 0.8% |
2812 | Vizianagaram | 3 | 0.3% |
2813 | Visakhapatnam | 4 | 0.5% |
2814 | East Godavari | 7 | 0.8% |
2815 | West Godavari | 8 | 0.9% |
2816 | Krishna | 8 | 0.9% |
2817 | Guntur | 12 | 1.4% |
2818 | Prakasam | 2 | 0.2% |
2819 | Nellore | 2 | 0.2% |
2820 | Cuddapah | 3 | 0.3% |
2821 | Kurnool | 4 | 0.5% |
2822 | Anantapur | 8 | 0.9% |
2823 | Chittoor | 4 | 0.5% |
2901 | Belgaum | 4 | 0.5% |
2902 | Bagalkot * | 1 | 0.1% |
2903 | Bijapur | 2 | 0.2% |
2904 | Gulbarga | 2 | 0.2% |
2905 | Bidar | 0 | 0.0% |
2906 | Raichur | 3 | 0.3% |
2907 | Koppal | 2 | 0.2% |
2908 | Gadag * | 3 | 0.3% |
2909 | Dharwad | 4 | 0.5% |
2910 | Uttara Kannada | 2 | 0.2% |
2911 | Haveri * | 0 | 0.0% |
2912 | Bellary | 2 | 0.2% |
2913 | Chitradurga | 3 | 0.3% |
2914 | Davanagere | 4 | 0.5% |
2915 | Shimoga | 1 | 0.1% |
2916 | Udupi * | 0 | 0.0% |
2917 | Chikmagalur | 1 | 0.1% |
2918 | Tumkur | 3 | 0.3% |
2919 | Kolar | 3 | 0.3% |
2920 | Bangalore | 4 | 0.5% |
2921 | Bangalore Rural | 1 | 0.1% |
2922 | Mandya | 2 | 0.2% |
2923 | Hassan | 2 | 0.2% |
2924 | Dakshina Kannada | 2 | 0.2% |
2925 | Kodagu | 0 | 0.0% |
2926 | Mysore | 3 | 0.3% |
2927 | Chamarajanagar * | 2 | 0.2% |
2928 | Ramanagar | 1 | 0.1% |
2929 | Chikkaballapura | 3 | 0.3% |
2930 | Belgaum | 0 | 0.0% |
3001 | North Goa | 3 | 0.3% |
3002 | South Goa | 3 | 0.3% |
3101 | Lakshadweep | 0 | 0.0% |
3201 | Kasaragod | 0 | 0.0% |
3202 | Kannur | 0 | 0.0% |
3203 | Wayanad | 0 | 0.0% |
3204 | Kozhikode | 0 | 0.0% |
3205 | Malappuram | 0 | 0.0% |
3206 | Palakkad | 0 | 0.0% |
3207 | Thrissur | 0 | 0.0% |
3208 | Ernakulam | 3 | 0.3% |
3209 | Idukki | 0 | 0.0% |
3210 | Kottayam | 0 | 0.0% |
3211 | Alappuzha | 0 | 0.0% |
3212 | Pathanamthitta | 0 | 0.0% |
3213 | Kollam | 0 | 0.0% |
3214 | Thiruvananthapuram | 2 | 0.2% |
3301 | Thiruvallur | 3 | 0.3% |
3302 | Chennai | 6 | 0.7% |
3303 | Kancheepuram | 3 | 0.3% |
3304 | Vellore | 4 | 0.5% |
3305 | Dharmapuri | 0 | 0.0% |
3306 | Tiruvannamalai | 2 | 0.2% |
3307 | Viluppuram | 2 | 0.2% |
3308 | Salem | 4 | 0.5% |
3309 | Namakkal * | 2 | 0.2% |
3310 | Erode | 3 | 0.3% |
3311 | The Nilgiris | 0 | 0.0% |
3312 | Coimbatore | 3 | 0.3% |
3313 | Dindigul | 0 | 0.0% |
3314 | Karur * | 2 | 0.2% |
3315 | Tiruchirappalli | 4 | 0.5% |
3316 | Perambalur * | 3 | 0.3% |
3317 | Ariyalur * | 0 | 0.0% |
3318 | Cuddalore | 1 | 0.1% |
3319 | Nagapattinam * | 0 | 0.0% |
3320 | Thiruvarur | 2 | 0.2% |
3321 | Thanjavur | 2 | 0.2% |
3322 | Pudukkottai | 0 | 0.0% |
3323 | Sivaganga | 0 | 0.0% |
3324 | Madurai | 2 | 0.2% |
3325 | Theni * | 1 | 0.1% |
3326 | Virudhunagar | 3 | 0.3% |
3327 | Ramanathapuram | 3 | 0.3% |
3328 | Thoothukkudi | 3 | 0.3% |
3329 | Tirunelveli | 3 | 0.3% |
3330 | Kanniyakumari | 0 | 0.0% |
3331 | Krishnagiri | 0 | 0.0% |
3332 | Tiruppur | 1 | 0.1% |
3401 | Yanam | 1 | 0.1% |
3402 | Pondicherry | 1 | 0.1% |
3404 | Karaikal | 0 | 0.0% |
3501 | South Andaman | 0 | 0.0% |
3502 | Nicobar | 0 | 0.0% |
3503 | North & middle Andaman | 0 | 0.0% |
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.