India - Employment and Unemployment, July 2004 - June 2005, NSS 61st Round
Reference ID | DDI-IND-MOSPI-NSSO-61-12-2011 |
Year | 2004 - 2005 |
Country | India |
Producer(s) | National Sample Survey Office - NSSO |
Sponsor(s) | Govt. of India - - Ministry of Statistics & Programme Implementation - - |
Collection(s) |
Created on
Jan 18, 2018
Last modified
Mar 25, 2019
Page views
279247
District
(DISTRICT_CODE)
File: Block_3pt1_level_02
File: Block_3pt1_level_02
Overview
Type:
Discrete Format: character Width: 4 | Valid cases: 22065 Invalid: 0 |
Value | Category | Cases | |
---|---|---|---|
0101 | Kupwara | 20 | 0.1% |
0102 | Baramula | 86 | 0.4% |
0103 | Srinagar | 2 | 0.0% |
0104 | Badgam | 6 | 0.0% |
0105 | Pulwama | 3 | 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 | 74 | 0.3% |
0111 | Punch | 0 | 0.0% |
0112 | Rajauri | 0 | 0.0% |
0113 | Jammu | 23 | 0.1% |
0114 | Kathua | 15 | 0.1% |
0201 | Chamba | 40 | 0.2% |
0202 | Kangra | 67 | 0.3% |
0203 | Lahul & Spiti | 0 | 0.0% |
0204 | Kullu | 12 | 0.1% |
0205 | Mandi | 16 | 0.1% |
0206 | Hamirpur | 47 | 0.2% |
0207 | Una | 28 | 0.1% |
0208 | Bilaspur | 36 | 0.2% |
0209 | Solan | 21 | 0.1% |
0210 | Sirmaur | 10 | 0.0% |
0211 | Shimla | 31 | 0.1% |
0212 | Kinnaur | 9 | 0.0% |
0301 | Gurdaspur | 117 | 0.5% |
0302 | Amritsar | 25 | 0.1% |
0303 | Kapurthala | 28 | 0.1% |
0304 | Jalandhar | 67 | 0.3% |
0305 | Hoshiarpur | 59 | 0.3% |
0306 | Nawanshahr | 37 | 0.2% |
0307 | Rupnagar | 33 | 0.1% |
0308 | Fatehgarh Sahib | 60 | 0.3% |
0309 | Ludhiana | 49 | 0.2% |
0310 | Moga | 28 | 0.1% |
0311 | Firozpur | 39 | 0.2% |
0312 | Muktsar | 24 | 0.1% |
0313 | Faridkot | 12 | 0.1% |
0314 | Bathinda | 45 | 0.2% |
0315 | Mansa | 16 | 0.1% |
0316 | Sangrur | 116 | 0.5% |
0317 | Patiala | 78 | 0.4% |
0401 | Chandigarh | 6 | 0.0% |
0501 | Uttarkashi | 0 | 0.0% |
0502 | Chamoli | 4 | 0.0% |
0503 | Rudraprayag | 2 | 0.0% |
0504 | Tehri Garhwal | 0 | 0.0% |
0505 | Dehradun | 17 | 0.1% |
0506 | Garhwal | 4 | 0.0% |
0507 | Pithoragarh | 8 | 0.0% |
0508 | Champawat | 3 | 0.0% |
0509 | Almora | 14 | 0.1% |
0510 | Bageshwar | 0 | 0.0% |
0511 | Nainital | 11 | 0.0% |
0512 | Udham Singh Nagar | 8 | 0.0% |
0513 | Hardwar | 31 | 0.1% |
0601 | Panchkula | 9 | 0.0% |
0602 | Ambala | 51 | 0.2% |
0603 | Yamunanagar | 86 | 0.4% |
0604 | Kurukshetra | 25 | 0.1% |
0605 | Kaithal | 25 | 0.1% |
0606 | Karnal | 78 | 0.4% |
0607 | Panipat | 26 | 0.1% |
0608 | Sonipat | 61 | 0.3% |
0609 | Jind | 52 | 0.2% |
0610 | Fatehabad | 18 | 0.1% |
0611 | Sirsa | 33 | 0.1% |
0612 | Hisar | 30 | 0.1% |
0613 | Bhiwani | 23 | 0.1% |
0614 | Rohtak | 2 | 0.0% |
0615 | Jhajjar | 3 | 0.0% |
0616 | Mahendragarh | 14 | 0.1% |
0617 | Rewari | 11 | 0.0% |
0618 | Gurgaon | 7 | 0.0% |
0619 | Faridabad | 3 | 0.0% |
0701 | North West | 0 | 0.0% |
0702 | North | 0 | 0.0% |
0703 | North East | 0 | 0.0% |
0704 | East | 0 | 0.0% |
0705 | New Delhi | 0 | 0.0% |
0706 | Central | 0 | 0.0% |
0707 | West | 0 | 0.0% |
0708 | South West | 0 | 0.0% |
0709 | South | 0 | 0.0% |
0801 | Ganganagar | 38 | 0.2% |
0802 | Hanumangarh | 30 | 0.1% |
0803 | Bikaner | 11 | 0.0% |
0804 | Churu | 26 | 0.1% |
0805 | Jhunjhunun | 29 | 0.1% |
0806 | Alwar | 48 | 0.2% |
0807 | Bharatpur | 22 | 0.1% |
0808 | Dhaulpur | 26 | 0.1% |
0809 | Karauli | 6 | 0.0% |
0810 | Sawai Madhopur | 2 | 0.0% |
0811 | Dausa | 21 | 0.1% |
0812 | Jaipur | 36 | 0.2% |
0813 | Sikar | 5 | 0.0% |
0814 | Nagaur | 25 | 0.1% |
0815 | Jodhpur | 15 | 0.1% |
0816 | Jaisalmer | 5 | 0.0% |
0817 | Barmer | 13 | 0.1% |
0818 | Jalor | 2 | 0.0% |
0819 | Sirohi | 32 | 0.1% |
0820 | Pali | 2 | 0.0% |
0821 | Ajmer | 6 | 0.0% |
0822 | Tonk | 16 | 0.1% |
0823 | Bundi | 2 | 0.0% |
0824 | Bhilwara | 24 | 0.1% |
0825 | Rajsamand | 33 | 0.1% |
0826 | Udaipur | 56 | 0.3% |
0827 | Dungarpur | 26 | 0.1% |
0828 | Banswara | 24 | 0.1% |
0829 | Chittaurgarh | 6 | 0.0% |
0830 | Kota | 6 | 0.0% |
0831 | Baran | 12 | 0.1% |
0832 | Jhalawar | 3 | 0.0% |
0901 | Saharanpur | 45 | 0.2% |
0902 | Muzaffarnagar | 55 | 0.2% |
0903 | Bijnor | 53 | 0.2% |
0904 | Moradabad | 50 | 0.2% |
0905 | Rampur | 23 | 0.1% |
0906 | J Phule Nagar | 20 | 0.1% |
0907 | Meerut | 13 | 0.1% |
0908 | Baghpat | 6 | 0.0% |
0909 | Ghaziabad | 21 | 0.1% |
0910 | G. Buddha Nagar | 5 | 0.0% |
0911 | Bulandshahr | 41 | 0.2% |
0912 | Aligarh | 28 | 0.1% |
0913 | Hathras | 20 | 0.1% |
0914 | Mathura | 19 | 0.1% |
0915 | Agra | 24 | 0.1% |
0916 | Firozabad | 16 | 0.1% |
0917 | Etah | 25 | 0.1% |
0918 | Mainpuri | 14 | 0.1% |
0919 | Budaun | 31 | 0.1% |
0920 | Bareilly | 97 | 0.4% |
0921 | Pilibhit | 11 | 0.0% |
0922 | Shahjahanpur | 55 | 0.2% |
0923 | Kheri | 39 | 0.2% |
0924 | Sitapur | 56 | 0.3% |
0925 | Hardoi | 25 | 0.1% |
0926 | Unnao | 4 | 0.0% |
0927 | Lucknow | 0 | 0.0% |
0928 | Rae Bareli | 13 | 0.1% |
0929 | Farrukhabad | 10 | 0.0% |
0930 | Kannauj | 14 | 0.1% |
0931 | Etawah | 11 | 0.0% |
0932 | Auraiya | 10 | 0.0% |
0933 | Kanpur Dehat | 7 | 0.0% |
0934 | Kanpur Nagar | 11 | 0.0% |
0935 | Jalaun | 2 | 0.0% |
0936 | Jhansi | 4 | 0.0% |
0937 | Lalitpur | 2 | 0.0% |
0938 | Hamirpur | 8 | 0.0% |
0939 | Mahoba | 2 | 0.0% |
0940 | Banda | 8 | 0.0% |
0941 | Chitrakoot | 5 | 0.0% |
0942 | Fatehpur | 16 | 0.1% |
0943 | Pratapgarh | 2 | 0.0% |
0944 | Kaushambi | 11 | 0.0% |
0945 | Allahabad | 63 | 0.3% |
0946 | Barabanki | 18 | 0.1% |
0947 | Faizabad | 8 | 0.0% |
0948 | Ambedkar Nag. | 36 | 0.2% |
0949 | Sultanpur | 6 | 0.0% |
0950 | Bahraich | 12 | 0.1% |
0951 | Shrawasti | 14 | 0.1% |
0952 | Balrampur | 9 | 0.0% |
0953 | Gonda | 16 | 0.1% |
0954 | Siddharthnagar | 9 | 0.0% |
0955 | Basti | 1 | 0.0% |
0956 | S. Kabir Nagar | 6 | 0.0% |
0957 | Maharajganj | 8 | 0.0% |
0958 | Gorakhpur | 12 | 0.1% |
0959 | Kushinagar | 39 | 0.2% |
0960 | Deoria | 21 | 0.1% |
0961 | Azamgarh | 41 | 0.2% |
0962 | Mau | 16 | 0.1% |
0963 | Ballia | 17 | 0.1% |
0964 | Jaunpur | 22 | 0.1% |
0965 | Ghazipur | 30 | 0.1% |
0966 | Chandauli | 10 | 0.0% |
0967 | Varanasi | 15 | 0.1% |
0968 | S.R.Nagar ( Bhadohi ) | 11 | 0.0% |
0969 | Mirzapur | 18 | 0.1% |
0970 | Sonbhadra | 2 | 0.0% |
1001 | Champaran (W) | 37 | 0.2% |
1002 | Champaran (E) | 52 | 0.2% |
1003 | Sheohar | 10 | 0.0% |
1004 | Sitamarhi | 37 | 0.2% |
1005 | Madhubani | 45 | 0.2% |
1006 | Supaul | 0 | 0.0% |
1007 | Araria | 4 | 0.0% |
1008 | Kishanganj | 2 | 0.0% |
1009 | Purnia | 20 | 0.1% |
1010 | Katihar | 19 | 0.1% |
1011 | Madhepura | 0 | 0.0% |
1012 | Saharsa | 0 | 0.0% |
1013 | Darbhanga | 30 | 0.1% |
1014 | Muzaffarpur | 21 | 0.1% |
1015 | Gopalganj | 31 | 0.1% |
1016 | Siwan | 38 | 0.2% |
1017 | Saran | 32 | 0.1% |
1018 | Vaishali | 21 | 0.1% |
1019 | Samastipur | 26 | 0.1% |
1020 | Begusarai | 3 | 0.0% |
1021 | Khagaria | 14 | 0.1% |
1022 | Bhagalpur | 46 | 0.2% |
1023 | Banka | 39 | 0.2% |
1024 | Munger | 4 | 0.0% |
1025 | Lakhisarai | 2 | 0.0% |
1026 | Sheikhpura | 0 | 0.0% |
1027 | Nalanda | 17 | 0.1% |
1028 | Patna | 28 | 0.1% |
1029 | Bhojpur | 19 | 0.1% |
1030 | Buxar | 18 | 0.1% |
1031 | Kaimur Bhabua | 18 | 0.1% |
1032 | Rohtas | 9 | 0.0% |
1033 | Jehanabad | 6 | 0.0% |
1034 | Aurangabad | 6 | 0.0% |
1035 | Gaya | 25 | 0.1% |
1036 | Nawada | 20 | 0.1% |
1037 | Jamui | 4 | 0.0% |
1101 | North ( Mongam ) | 30 | 0.1% |
1102 | West ( Gyalshing ) | 103 | 0.5% |
1103 | South ( Nimachai ) | 62 | 0.3% |
1104 | East ( Gangtok ) | 117 | 0.5% |
1201 | Tawang | 4 | 0.0% |
1202 | West Kameng | 2 | 0.0% |
1203 | East Kameng | 0 | 0.0% |
1204 | Papum Pare | 0 | 0.0% |
1205 | Lower Subansiri | 0 | 0.0% |
1206 | Upper Subansiri | 2 | 0.0% |
1207 | West Siang | 4 | 0.0% |
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 | 0 | 0.0% |
1213 | Tirap | 0 | 0.0% |
1301 | Mon | 0 | 0.0% |
1302 | Tuensang | 2 | 0.0% |
1303 | Mokokchung | 0 | 0.0% |
1304 | Zunheboto | 2 | 0.0% |
1305 | Wokha | 2 | 0.0% |
1306 | Dimapur | 1 | 0.0% |
1307 | Kohima | 0 | 0.0% |
1308 | Phek | 2 | 0.0% |
1401 | Senapati | 0 | 0.0% |
1402 | Tamenglong | 0 | 0.0% |
1403 | Churachandpur | 2 | 0.0% |
1404 | Bishnupur | 2 | 0.0% |
1405 | Thoubal | 4 | 0.0% |
1406 | Imphal West | 23 | 0.1% |
1407 | Imphal East | 46 | 0.2% |
1408 | Ukhrul | 0 | 0.0% |
1409 | Chandel | 1 | 0.0% |
1501 | Mamit | 0 | 0.0% |
1502 | Kolasib | 0 | 0.0% |
1503 | Aizwal | 5 | 0.0% |
1504 | Champhai | 1 | 0.0% |
1505 | Serchip | 0 | 0.0% |
1506 | Lunglei | 0 | 0.0% |
1507 | Lawngtlai | 0 | 0.0% |
1508 | Saiha | 0 | 0.0% |
1601 | West Tripura | 324 | 1.5% |
1602 | South Tripura | 271 | 1.2% |
1603 | Dhalai | 44 | 0.2% |
1604 | North Tripura | 72 | 0.3% |
1701 | West Garo Hills | 3 | 0.0% |
1702 | East Garo Hills | 0 | 0.0% |
1703 | South Garo Hills | 0 | 0.0% |
1704 | West Khasi Hills | 9 | 0.0% |
1705 | Ri Bhoi | 4 | 0.0% |
1706 | East Khasi Hills | 17 | 0.1% |
1707 | Jaintia Hills | 4 | 0.0% |
1801 | Kokrajhar | 25 | 0.1% |
1802 | Dhubri | 47 | 0.2% |
1803 | Goalpara | 19 | 0.1% |
1804 | Bongaigaon | 25 | 0.1% |
1805 | Barpeta | 34 | 0.2% |
1806 | Kamrup | 16 | 0.1% |
1807 | Nalbari | 42 | 0.2% |
1808 | Darrang | 30 | 0.1% |
1809 | Marigaon | 17 | 0.1% |
1810 | Nagaon | 58 | 0.3% |
1811 | Sonitpur | 24 | 0.1% |
1812 | Lakhimpur | 2 | 0.0% |
1813 | Dhemaji | 2 | 0.0% |
1814 | Tinsukia | 112 | 0.5% |
1815 | Dibrugarh | 104 | 0.5% |
1816 | Sibsagar | 30 | 0.1% |
1817 | Jorhat | 32 | 0.1% |
1818 | Golaghat | 37 | 0.2% |
1819 | Karbi Anglong | 36 | 0.2% |
1820 | North Cachar Hills | 19 | 0.1% |
1821 | Cachar | 76 | 0.3% |
1822 | Karimganj | 39 | 0.2% |
1823 | HaiLakandi | 14 | 0.1% |
1901 | Darjiling | 20 | 0.1% |
1902 | Jalpaiguri | 78 | 0.4% |
1903 | Koch Bihar | 44 | 0.2% |
1904 | Uttar Dinajpur | 131 | 0.6% |
1905 | Dakshin Dinajpur | 46 | 0.2% |
1906 | Maldah | 137 | 0.6% |
1907 | Murshidabad | 263 | 1.2% |
1908 | Birbhum | 118 | 0.5% |
1909 | Barddhaman | 139 | 0.6% |
1910 | Nadia | 198 | 0.9% |
1911 | North 24-Parganas | 219 | 1.0% |
1912 | Hugli | 167 | 0.8% |
1913 | Bankura | 43 | 0.2% |
1914 | Puruliya | 6 | 0.0% |
1915 | Medinipur | 206 | 0.9% |
1916 | Howrah | 76 | 0.3% |
1917 | Kolkata | 0 | 0.0% |
1918 | South 24-Parganas | 254 | 1.2% |
2001 | Garhwa | 0 | 0.0% |
2002 | Palamu | 1 | 0.0% |
2003 | Chatra | 27 | 0.1% |
2004 | Hazaribag | 51 | 0.2% |
2005 | Kodarma | 5 | 0.0% |
2006 | Giridih | 23 | 0.1% |
2007 | Deoghar | 8 | 0.0% |
2008 | Godda | 2 | 0.0% |
2009 | Sahibganj | 2 | 0.0% |
2010 | Pakaur | 4 | 0.0% |
2011 | Dumka | 0 | 0.0% |
2012 | Dhanbad | 2 | 0.0% |
2013 | Bokaro | 19 | 0.1% |
2014 | Ranchi | 2 | 0.0% |
2015 | Lohardaga | 6 | 0.0% |
2016 | Gumla | 12 | 0.1% |
2017 | Singhbhum (W) | 48 | 0.2% |
2018 | Singhbhum (E) | 14 | 0.1% |
2101 | Bargarh | 11 | 0.0% |
2102 | Jharsuguda | 0 | 0.0% |
2103 | Sambalpur | 10 | 0.0% |
2104 | Debagarh | 6 | 0.0% |
2105 | Sundargarh | 15 | 0.1% |
2106 | Kendujhar | 38 | 0.2% |
2107 | Mayurbhanj | 35 | 0.2% |
2108 | Baleshwar | 39 | 0.2% |
2109 | Bhadrak | 42 | 0.2% |
2110 | Kendrapara | 27 | 0.1% |
2111 | Jagatsinghapur | 19 | 0.1% |
2112 | Cuttack | 71 | 0.3% |
2113 | Jajapur | 32 | 0.1% |
2114 | Dhenkanal | 6 | 0.0% |
2115 | Anugul | 2 | 0.0% |
2116 | Nayagarh | 36 | 0.2% |
2117 | Khordha | 53 | 0.2% |
2118 | Puri | 58 | 0.3% |
2119 | Ganjam | 89 | 0.4% |
2120 | Gajapati | 8 | 0.0% |
2121 | Kandhamal ( Phoolbani ) | 10 | 0.0% |
2122 | Baudh | 18 | 0.1% |
2123 | Sonapur | 8 | 0.0% |
2124 | Balangir | 27 | 0.1% |
2125 | Nuapada | 4 | 0.0% |
2126 | Kalahandi | 27 | 0.1% |
2127 | Rayagada | 9 | 0.0% |
2128 | Nabarangapur | 16 | 0.1% |
2129 | Koraput | 24 | 0.1% |
2130 | Malkangiri | 18 | 0.1% |
2201 | Koriya | 0 | 0.0% |
2202 | Surguja | 4 | 0.0% |
2203 | Jashpur | 0 | 0.0% |
2204 | Raigarh | 0 | 0.0% |
2205 | Korba | 6 | 0.0% |
2206 | Janjgir-Champa | 51 | 0.2% |
2207 | Bilaspur | 69 | 0.3% |
2208 | Kawardha | 20 | 0.1% |
2209 | Rajnandgaon | 23 | 0.1% |
2210 | Durg | 80 | 0.4% |
2211 | Raipur | 181 | 0.8% |
2212 | Mahasamund | 64 | 0.3% |
2213 | Dhamtari | 32 | 0.1% |
2214 | Kanker | 19 | 0.1% |
2215 | Bastar | 61 | 0.3% |
2216 | Dantewada | 10 | 0.0% |
2301 | Sheopur | 20 | 0.1% |
2302 | Morena | 28 | 0.1% |
2303 | Bhind | 22 | 0.1% |
2304 | Gwalior | 17 | 0.1% |
2305 | Datia | 6 | 0.0% |
2306 | Shivpuri | 14 | 0.1% |
2307 | Guna | 32 | 0.1% |
2308 | Tikamgarh | 22 | 0.1% |
2309 | Chhatarpur | 19 | 0.1% |
2310 | Panna | 4 | 0.0% |
2311 | Sagar | 62 | 0.3% |
2312 | Damoh | 26 | 0.1% |
2313 | Satna | 16 | 0.1% |
2314 | Rewa | 13 | 0.1% |
2315 | Umaria | 4 | 0.0% |
2316 | Shahdol | 4 | 0.0% |
2317 | Sidhi | 6 | 0.0% |
2318 | Neemuch | 2 | 0.0% |
2319 | Mandsaur | 6 | 0.0% |
2320 | Ratlam | 26 | 0.1% |
2321 | Ujjain | 42 | 0.2% |
2322 | Shajapur | 32 | 0.1% |
2323 | Dewas | 45 | 0.2% |
2324 | Jhabua | 22 | 0.1% |
2325 | Dhar | 20 | 0.1% |
2326 | Indore | 20 | 0.1% |
2327 | W. Nimar | 16 | 0.1% |
2328 | Barwani | 8 | 0.0% |
2329 | E. Nimar | 24 | 0.1% |
2330 | Rajgarh | 31 | 0.1% |
2331 | Vidisha | 20 | 0.1% |
2332 | Bhopal | 9 | 0.0% |
2333 | Sehore | 25 | 0.1% |
2334 | Raisen | 11 | 0.0% |
2335 | Betul | 16 | 0.1% |
2336 | Harda | 0 | 0.0% |
2337 | Hoshangabad | 6 | 0.0% |
2338 | Katni | 6 | 0.0% |
2339 | Jabalpur | 5 | 0.0% |
2340 | Narsimhapur | 14 | 0.1% |
2341 | Dindori | 0 | 0.0% |
2342 | Mandla | 16 | 0.1% |
2343 | Chhindwara | 23 | 0.1% |
2344 | Seoni | 15 | 0.1% |
2345 | Balaghat | 17 | 0.1% |
2401 | Kachchh | 56 | 0.3% |
2402 | Bans Kantha | 18 | 0.1% |
2403 | Patan | 20 | 0.1% |
2404 | Mahesana | 38 | 0.2% |
2405 | Sabar Kantha | 42 | 0.2% |
2406 | Gandhinagar | 33 | 0.1% |
2407 | Ahmedabad | 23 | 0.1% |
2408 | Surendranagar | 56 | 0.3% |
2409 | Rajkot | 22 | 0.1% |
2410 | Jamnagar | 32 | 0.1% |
2411 | Porbandar | 16 | 0.1% |
2412 | Junagadh | 22 | 0.1% |
2413 | Amreli | 20 | 0.1% |
2414 | Bhavnagar | 60 | 0.3% |
2415 | Anand | 26 | 0.1% |
2416 | Kheda | 32 | 0.1% |
2417 | Panch Mahals | 78 | 0.4% |
2418 | Dohad | 55 | 0.2% |
2419 | Vadodara | 77 | 0.3% |
2420 | Narmada | 22 | 0.1% |
2421 | Bharuch | 46 | 0.2% |
2422 | Surat | 12 | 0.1% |
2423 | The Dangs | 4 | 0.0% |
2424 | Navsari | 40 | 0.2% |
2425 | Valsad | 22 | 0.1% |
2501 | Diu | 2 | 0.0% |
2502 | Daman | 37 | 0.2% |
2601 | Dadra and Nagar Havelira | 90 | 0.4% |
2701 | Nandurbar | 27 | 0.1% |
2702 | Dhule | 50 | 0.2% |
2703 | Jalgaon | 86 | 0.4% |
2704 | Buldana | 55 | 0.2% |
2705 | Akola | 18 | 0.1% |
2706 | Washim | 8 | 0.0% |
2707 | Amravati | 56 | 0.3% |
2708 | Wardha | 19 | 0.1% |
2709 | Nagpur | 33 | 0.1% |
2710 | Bhandara | 17 | 0.1% |
2711 | Gondiya | 11 | 0.0% |
2712 | Gadchiroli | 10 | 0.0% |
2713 | Chandrapur | 10 | 0.0% |
2714 | Yavatmal | 75 | 0.3% |
2715 | Nanded | 38 | 0.2% |
2716 | Hingoli | 18 | 0.1% |
2717 | Parbhani | 21 | 0.1% |
2718 | Jalna | 6 | 0.0% |
2719 | Aurangabad | 21 | 0.1% |
2720 | Nashik | 58 | 0.3% |
2721 | Thane | 19 | 0.1% |
2722 | Mumbai Suburban | 0 | 0.0% |
2723 | Mumbai | 0 | 0.0% |
2724 | Raigarh | 49 | 0.2% |
2725 | Pune | 141 | 0.6% |
2726 | Ahmadnagar | 151 | 0.7% |
2727 | Bid | 8 | 0.0% |
2728 | Latur | 33 | 0.1% |
2729 | Osmanabad | 45 | 0.2% |
2730 | Solapur | 127 | 0.6% |
2731 | Satara | 171 | 0.8% |
2732 | Ratnagiri | 89 | 0.4% |
2733 | Sindhudurg | 43 | 0.2% |
2734 | Kolhapur | 145 | 0.7% |
2735 | Sangli | 21 | 0.1% |
2801 | Adilabad | 55 | 0.2% |
2802 | Nizamabad | 85 | 0.4% |
2803 | Karimnagar | 90 | 0.4% |
2804 | Medak | 116 | 0.5% |
2805 | Hyderabad | 0 | 0.0% |
2806 | Rangareddi | 66 | 0.3% |
2807 | Mahbubnagar | 200 | 0.9% |
2808 | Nalgonda | 133 | 0.6% |
2809 | Warangal | 118 | 0.5% |
2810 | Khammam | 109 | 0.5% |
2811 | Srikakulam | 103 | 0.5% |
2812 | Vizianagaram | 75 | 0.3% |
2813 | Visakhapatnam | 126 | 0.6% |
2814 | East Godavari | 394 | 1.8% |
2815 | West Godavari | 139 | 0.6% |
2816 | Krishna | 182 | 0.8% |
2817 | Guntur | 108 | 0.5% |
2818 | Prakasam | 204 | 0.9% |
2819 | Nellore | 105 | 0.5% |
2820 | Cuddapah | 69 | 0.3% |
2821 | Kurnool | 225 | 1.0% |
2822 | Anantapur | 149 | 0.7% |
2823 | Chittoor | 98 | 0.4% |
2901 | Belgaum | 27 | 0.1% |
2902 | Bagalkot | 8 | 0.0% |
2903 | Bijapur | 14 | 0.1% |
2904 | Gulbarga | 22 | 0.1% |
2905 | Bidar | 12 | 0.1% |
2906 | Raichur | 44 | 0.2% |
2907 | Koppal | 36 | 0.2% |
2908 | Gadag | 6 | 0.0% |
2909 | Dharwad | 6 | 0.0% |
2910 | Uttara Kannada | 24 | 0.1% |
2911 | Haveri | 19 | 0.1% |
2912 | Bellary | 52 | 0.2% |
2913 | Chitradurga | 17 | 0.1% |
2914 | Davanagere | 18 | 0.1% |
2915 | Shimoga | 28 | 0.1% |
2916 | Udupi | 28 | 0.1% |
2917 | Chikmagalur | 14 | 0.1% |
2918 | Tumkur | 21 | 0.1% |
2919 | Kolar | 36 | 0.2% |
2920 | Bangalore | 16 | 0.1% |
2921 | Bangalore ( Rural ) | 0 | 0.0% |
2922 | Mandya | 63 | 0.3% |
2923 | Hassan | 26 | 0.1% |
2924 | Dakshina Kannada | 68 | 0.3% |
2925 | Kodagu | 18 | 0.1% |
2926 | Mysore | 35 | 0.2% |
2927 | Chamarajanagar | 38 | 0.2% |
3001 | North Goa | 11 | 0.0% |
3002 | South Goa | 15 | 0.1% |
3101 | Lakshadweepshadweep | 4 | 0.0% |
3201 | Kasaragod | 32 | 0.1% |
3202 | Kannur | 45 | 0.2% |
3203 | Wayanad | 57 | 0.3% |
3204 | Kozhikode | 98 | 0.4% |
3205 | Malappuram | 167 | 0.8% |
3206 | Palakkad | 168 | 0.8% |
3207 | Thrissur | 186 | 0.8% |
3208 | Ernakulam | 191 | 0.9% |
3209 | Idukki | 174 | 0.8% |
3210 | Kottayam | 345 | 1.6% |
3211 | Alappuzha | 160 | 0.7% |
3212 | Pathanamthitta | 70 | 0.3% |
3213 | Kollam | 225 | 1.0% |
3214 | Thiruvananthapuram | 297 | 1.3% |
3301 | Thiruvallur | 58 | 0.3% |
3302 | Chennai | 0 | 0.0% |
3303 | Kancheepuram | 34 | 0.2% |
3304 | Vellore | 99 | 0.4% |
3305 | Dharmapuri | 78 | 0.4% |
3306 | Tiruvanamalai | 53 | 0.2% |
3307 | Viluppuram | 136 | 0.6% |
3308 | Salem | 70 | 0.3% |
3309 | Namakkal | 32 | 0.1% |
3310 | Erode | 65 | 0.3% |
3311 | The Nilgiris | 16 | 0.1% |
3312 | Coimbatore | 69 | 0.3% |
3313 | Dindigul | 53 | 0.2% |
3314 | Karur | 30 | 0.1% |
3315 | Tiruchirappalli | 90 | 0.4% |
3316 | Perambalur | 18 | 0.1% |
3317 | Ariyalur | 38 | 0.2% |
3318 | Cuddalore | 108 | 0.5% |
3319 | Nagapattinam | 137 | 0.6% |
3320 | Thiruvarur | 113 | 0.5% |
3321 | Thanjavur | 99 | 0.4% |
3322 | Pudukkottai | 73 | 0.3% |
3323 | Sivaganga | 86 | 0.4% |
3324 | Madurai | 67 | 0.3% |
3325 | Theni | 47 | 0.2% |
3326 | Virudhunagar | 81 | 0.4% |
3327 | Ramanathapuram | 74 | 0.3% |
3328 | Toothukudi | 31 | 0.1% |
3329 | Tirunelveli | 73 | 0.3% |
3330 | Kanniyakumari | 49 | 0.2% |
3401 | Yanam | 0 | 0.0% |
3402 | Pondicherry | 96 | 0.4% |
3403 | Mahe | 0 | 0.0% |
3404 | Karaikal | 31 | 0.1% |
3501 | Andamans | 98 | 0.4% |
3502 | Nicobars | 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.