India - Domestic Tourism Expenditure: NSS 72nd round, Schedule 21.1, July 2014 - June 2015
Reference ID | DDI-IND-MOSPI-NSSO-72Rnd-Sch21.1-July2014-June2015 |
Year | 2014 - 2015 |
Country | India |
Producer(s) | National Sample Survey Office |
Sponsor(s) | M/o Statistics & Programme Implementation, GOI - MOSPI - |
Collection(s) | |
Metadata | Documentation in PDF |
Created on
Nov 04, 2016
Last modified
Nov 21, 2016
Page views
1215110
- Block 1 & Block
2 - Identification o
f sample household a
nd particulars of fi
eld opeation - Block 3 - Household
Characteristics - Block 4 - Demographi
c and other particul
ars of household mem
bers - Block 5
- Block 5.2 - Particul
ars of overnight tri
ps completed by hous
ehold members during
last 30 days. - Block 6.1 - Particul
ars of expenditure (
`) for all trips in
last 365 days covere
d in block 5 - Block 6.1 - Particul
ars of expenditure (
`) for all trips in
last 365 days covere
d in block 5 - Block 6.1 - Particul
ars of expenditure (
`) for all trips in
last 365 days covere
d in block 5 - Block 6.1 - Particul
ars of expenditure (
`) for all trips in
last 365 days covere
d in block 5 - Block 6.1 - Particul
ars of expenditure (
`) for all trips in
last 365 days covere
d in block 5 - Block 6.2 - Particul
ars of expenditure (
`) for all trips in
last 30 days covered
in block 5 - Block 6.2 - Particul
ars of expenditure (
`) for all trips in
last 30 days covered
in block 5 - Block 6.2 - Particul
ars of expenditure (
`) for all trips in
last 30 days covered
in block 5 - Block 6.2 - Particul
ars of expenditure (
`) for all trips in
last 30 days covered
in block 5 - Block 6.2 - Particul
ars of expenditure (
`) for all trips in
last 30 days covered
in block 5 - Block 7 - Particular
s and expenditure (
' ) of same - day tr
ips completed by hou
sehold members durin
g last 30 days. - Block 8 - Particular
s and expenditure (
' ) of special domes
tic trips of duratio
n of more than 180 d
ays but up to 365 da
ys, completed by hou
sehold members durin
g last 365 days.
Variable Groups
‘State-District’
(State_District)
File: Block 3 - Household Characteristics
File: Block 3 - Household Characteristics
Overview
Type:
Discrete Format: character Width: 4 | Valid cases: 139688 Invalid: 0 |
Value | Category | Cases | |
---|---|---|---|
0101 | Kupwara | 280 | 0.2% |
0102 | Badgam | 240 | 0.2% |
0103 | Leh (Ladakh) | 80 | 0.1% |
0104 | Kargil | 80 | 0.1% |
0105 | Punch | 120 | 0.1% |
0106 | Rajouri | 210 | 0.2% |
0107 | Kathua | 201 | 0.1% |
0108 | Baramula | 319 | 0.2% |
0109 | Bandipore | 120 | 0.1% |
0110 | Srinagar | 510 | 0.4% |
0111 | Ganderbal | 120 | 0.1% |
0112 | Pulwama | 160 | 0.1% |
0113 | Shupiyan | 110 | 0.1% |
0114 | Anantnag | 353 | 0.3% |
0115 | Kulgam | 120 | 0.1% |
0116 | Doda | 120 | 0.1% |
0117 | Ramban | 120 | 0.1% |
0118 | Kishtwar | 120 | 0.1% |
0119 | Udhampur | 120 | 0.1% |
0120 | Reasi | 120 | 0.1% |
0121 | Jammu | 560 | 0.4% |
0122 | Samba | 120 | 0.1% |
0201 | Chamba | 200 | 0.1% |
0202 | Kangra | 495 | 0.4% |
0203 | Lahul & Spiti | 40 | 0.0% |
0204 | Kullu | 200 | 0.1% |
0205 | Mandi | 360 | 0.3% |
0206 | Hamirpur | 176 | 0.1% |
0207 | Una | 200 | 0.1% |
0208 | Bilaspur | 160 | 0.1% |
0209 | Solan | 246 | 0.2% |
0210 | Sirmaur | 199 | 0.1% |
0211 | Shimla | 329 | 0.2% |
0212 | Kinnaur | 80 | 0.1% |
0301 | Gurdaspur | 233 | 0.2% |
0302 | Kapurthala | 158 | 0.1% |
0303 | Jalandhar | 358 | 0.3% |
0304 | Hoshiarpur | 250 | 0.2% |
0305 | Shahid Bhagat Singh Nagar | 120 | 0.1% |
0306 | Fatehgarh Sahib | 80 | 0.1% |
0307 | Ludhiana | 437 | 0.3% |
0308 | Moga | 170 | 0.1% |
0309 | Firozpur | 160 | 0.1% |
0310 | Muktsar | 120 | 0.1% |
0311 | Faridkot | 120 | 0.1% |
0312 | Bathinda | 160 | 0.1% |
0313 | Mansa | 120 | 0.1% |
0314 | Patiala | 279 | 0.2% |
0315 | Amritsar | 353 | 0.3% |
0316 | Tarn Taran | 198 | 0.1% |
0317 | Rupnagar | 121 | 0.1% |
0318 | Sahibzada Ajit Singh Nagar | 159 | 0.1% |
0319 | Sangrur | 240 | 0.2% |
0320 | Barnala | 80 | 0.1% |
0321 | Pathankot | 118 | 0.1% |
0322 | Fazilka | 200 | 0.1% |
0401 | Chandigarh | 379 | 0.3% |
0501 | Uttarkashi | 118 | 0.1% |
0502 | Chamoli | 120 | 0.1% |
0503 | Rudraprayag | 70 | 0.1% |
0504 | Tehri Garhwal | 170 | 0.1% |
0505 | Dehradun | 315 | 0.2% |
0506 | Garhwal | 131 | 0.1% |
0507 | Pithoragarh | 120 | 0.1% |
0508 | Bageshwar | 80 | 0.1% |
0509 | Almora | 165 | 0.1% |
0510 | Champawat | 80 | 0.1% |
0511 | Nainital | 206 | 0.1% |
0512 | Udham Singh Nagar | 270 | 0.2% |
0513 | Hardwar | 350 | 0.3% |
0601 | Panchkula | 120 | 0.1% |
0602 | Ambala | 150 | 0.1% |
0603 | Yamunanagar | 170 | 0.1% |
0604 | Kurukshetra | 124 | 0.1% |
0605 | Kaithal | 120 | 0.1% |
0606 | Karnal | 200 | 0.1% |
0607 | Panipat | 160 | 0.1% |
0608 | Sonipat | 200 | 0.1% |
0609 | Jind | 200 | 0.1% |
0610 | Fatehabad | 120 | 0.1% |
0611 | Sirsa | 210 | 0.2% |
0612 | Hisar | 200 | 0.1% |
0613 | Bhiwani | 240 | 0.2% |
0614 | Rohtak | 160 | 0.1% |
0615 | Jhajjar | 160 | 0.1% |
0616 | Mahendragarh | 120 | 0.1% |
0617 | Rewari | 120 | 0.1% |
0618 | Gurgaon | 320 | 0.2% |
0619 | Mewat | 170 | 0.1% |
0620 | Faridabad | 280 | 0.2% |
0621 | Palwal | 120 | 0.1% |
0701 | North West | 1375 | 1.0% |
0702 | North | 19 | 0.0% |
0703 | North East | 28 | 0.0% |
0704 | East | 10 | 0.0% |
0705 | New Delhi | 20 | 0.0% |
0706 | Central | 0 | 0.0% |
0707 | West | 17 | 0.0% |
0708 | South West | 58 | 0.0% |
0709 | South | 20 | 0.0% |
0801 | Ganganagar | 200 | 0.1% |
0802 | Hanumangarh | 163 | 0.1% |
0803 | Bikaner | 240 | 0.2% |
0804 | Churu | 197 | 0.1% |
0805 | Jhunjhunun | 157 | 0.1% |
0806 | Alwar | 320 | 0.2% |
0807 | Bharatpur | 240 | 0.2% |
0808 | Dhaulpur | 120 | 0.1% |
0809 | Karauli | 120 | 0.1% |
0810 | Sawai Madhopur | 120 | 0.1% |
0811 | Dausa | 160 | 0.1% |
0812 | Jaipur | 551 | 0.4% |
0813 | Sikar | 240 | 0.2% |
0814 | Nagaur | 279 | 0.2% |
0815 | Jodhpur | 317 | 0.2% |
0816 | Jaisalmer | 80 | 0.1% |
0817 | Barmer | 200 | 0.1% |
0818 | Jalor | 160 | 0.1% |
0819 | Sirohi | 120 | 0.1% |
0820 | Pali | 159 | 0.1% |
0821 | Ajmer | 239 | 0.2% |
0822 | Tonk | 118 | 0.1% |
0823 | Bundi | 120 | 0.1% |
0824 | Bhilwara | 200 | 0.1% |
0825 | Rajsamand | 160 | 0.1% |
0826 | Dungarpur | 156 | 0.1% |
0827 | Banswara | 159 | 0.1% |
0828 | Chittaurgarh | 159 | 0.1% |
0829 | Kota | 200 | 0.1% |
0830 | Baran | 120 | 0.1% |
0831 | Jhalawar | 130 | 0.1% |
0832 | Udaipur | 313 | 0.2% |
0833 | Pratapgarh | 89 | 0.1% |
0901 | Saharanpur | 235 | 0.2% |
0902 | Muzaffarnagar | 280 | 0.2% |
0903 | Bijnor | 200 | 0.1% |
0904 | Moradabad | 318 | 0.2% |
0905 | Rampur | 160 | 0.1% |
0906 | Jyotiba Phule Nagar | 120 | 0.1% |
0907 | Meerut | 240 | 0.2% |
0908 | Baghpat | 80 | 0.1% |
0909 | Ghaziabad | 350 | 0.3% |
0910 | Gautam Buddha Nagar | 200 | 0.1% |
0911 | Bulandshahr | 200 | 0.1% |
0912 | Aligarh | 280 | 0.2% |
0913 | Mahamaya Nagar | 120 | 0.1% |
0914 | Mathura | 159 | 0.1% |
0915 | Agra | 280 | 0.2% |
0916 | Firozabad | 200 | 0.1% |
0917 | Mainpuri | 110 | 0.1% |
0918 | Budaun | 240 | 0.2% |
0919 | Bareilly | 320 | 0.2% |
0920 | Pilibhit | 120 | 0.1% |
0921 | Shahjahanpur | 200 | 0.1% |
0922 | Kheri | 240 | 0.2% |
0923 | Sitapur | 240 | 0.2% |
0924 | Hardoi | 240 | 0.2% |
0925 | Unnao | 200 | 0.1% |
0926 | Lucknow | 280 | 0.2% |
0927 | Rae Bareli | 200 | 0.1% |
0928 | Farrukhabad | 120 | 0.1% |
0929 | Kannauj | 120 | 0.1% |
0930 | Etawah | 120 | 0.1% |
0931 | Auraiya | 119 | 0.1% |
0932 | Kanpur Dehat | 120 | 0.1% |
0933 | Kanpur Nagar | 280 | 0.2% |
0934 | Jalaun | 120 | 0.1% |
0935 | Jhansi | 240 | 0.2% |
0936 | Lalitpur | 113 | 0.1% |
0937 | Hamirpur | 80 | 0.1% |
0938 | Mahoba | 87 | 0.1% |
0939 | Banda | 120 | 0.1% |
0940 | Chitrakoot | 80 | 0.1% |
0941 | Fatehpur | 200 | 0.1% |
0942 | Pratapgarh | 200 | 0.1% |
0943 | Kaushambi | 120 | 0.1% |
0944 | Allahabad | 390 | 0.3% |
0945 | Bara Banki | 235 | 0.2% |
0946 | Faizabad | 160 | 0.1% |
0947 | Ambedkar Nagar | 160 | 0.1% |
0948 | Sultanpur | 237 | 0.2% |
0949 | Bahraich | 232 | 0.2% |
0950 | Shrawasti | 80 | 0.1% |
0951 | Balrampur | 160 | 0.1% |
0952 | Gonda | 240 | 0.2% |
0953 | Siddharthnagar | 160 | 0.1% |
0954 | Basti | 160 | 0.1% |
0955 | Sant Kabir Nagar | 120 | 0.1% |
0956 | Mahrajganj | 199 | 0.1% |
0957 | Gorakhpur | 280 | 0.2% |
0958 | Kushinagar | 239 | 0.2% |
0959 | Deoria | 160 | 0.1% |
0960 | Azamgarh | 280 | 0.2% |
0961 | Mau | 120 | 0.1% |
0962 | Ballia | 200 | 0.1% |
0963 | Jaunpur | 284 | 0.2% |
0964 | Ghazipur | 239 | 0.2% |
0965 | Chandauli | 166 | 0.1% |
0966 | Varanasi | 318 | 0.2% |
0967 | Sant Ravidas Nagar (Bhadohi) | 159 | 0.1% |
0968 | Mirzapur | 199 | 0.1% |
0969 | Sonbhadra | 158 | 0.1% |
0970 | Etah | 119 | 0.1% |
0971 | Kanshiram Nagar | 126 | 0.1% |
1001 | Pashchim Champaran | 160 | 0.1% |
1002 | Purba Champaran | 200 | 0.1% |
1003 | Sheohar | 120 | 0.1% |
1004 | Sitamarhi | 160 | 0.1% |
1005 | Madhubani | 200 | 0.1% |
1006 | Supaul | 113 | 0.1% |
1007 | Araria | 160 | 0.1% |
1008 | Kishanganj | 120 | 0.1% |
1009 | Purnia | 200 | 0.1% |
1010 | Katihar | 160 | 0.1% |
1011 | Madhepura | 120 | 0.1% |
1012 | Saharsa | 120 | 0.1% |
1013 | Darbhanga | 240 | 0.2% |
1014 | Muzaffarpur | 240 | 0.2% |
1015 | Gopalganj | 160 | 0.1% |
1016 | Siwan | 160 | 0.1% |
1017 | Saran | 200 | 0.1% |
1018 | Vaishali | 160 | 0.1% |
1019 | Samastipur | 198 | 0.1% |
1020 | Begusarai | 160 | 0.1% |
1021 | Khagaria | 120 | 0.1% |
1022 | Bhagalpur | 166 | 0.1% |
1023 | Banka | 117 | 0.1% |
1024 | Munger | 160 | 0.1% |
1025 | Lakhisarai | 120 | 0.1% |
1026 | Sheikhpura | 120 | 0.1% |
1027 | Nalanda | 160 | 0.1% |
1028 | Patna | 320 | 0.2% |
1029 | Bhojpur | 160 | 0.1% |
1030 | Buxar | 120 | 0.1% |
1031 | Kaimur (Bhabua) | 120 | 0.1% |
1032 | Rohtas | 160 | 0.1% |
1033 | Aurangabad | 160 | 0.1% |
1034 | Gaya | 240 | 0.2% |
1035 | Nawada | 120 | 0.1% |
1036 | Jamui | 134 | 0.1% |
1037 | Jehanabad | 120 | 0.1% |
1038 | Arwal | 120 | 0.1% |
1101 | North District | 120 | 0.1% |
1102 | West District | 240 | 0.2% |
1103 | South District | 280 | 0.2% |
1104 | East District | 400 | 0.3% |
1201 | Tawang | 80 | 0.1% |
1202 | West Kameng | 159 | 0.1% |
1203 | East Kameng | 120 | 0.1% |
1204 | Papum Pare | 286 | 0.2% |
1205 | Upper Subansiri | 120 | 0.1% |
1206 | West Siang | 203 | 0.1% |
1207 | East Siang | 200 | 0.1% |
1208 | Upper Siang | 40 | 0.0% |
1209 | Changlang | 150 | 0.1% |
1210 | Tirap | 240 | 0.2% |
1211 | Lower Subansiri | 138 | 0.1% |
1212 | Kurung Kumey | 119 | 0.1% |
1213 | Dibang Valley | 40 | 0.0% |
1214 | Lower Dibang Valley | 108 | 0.1% |
1215 | Lohit | 240 | 0.2% |
1216 | Anjaw | 40 | 0.0% |
1301 | Mon | 150 | 0.1% |
1302 | Mokokchung | 170 | 0.1% |
1303 | Zunheboto | 90 | 0.1% |
1304 | Wokha | 120 | 0.1% |
1305 | Dimapur | 210 | 0.2% |
1306 | Phek | 170 | 0.1% |
1307 | Tuensang | 150 | 0.1% |
1308 | Longleng | 80 | 0.1% |
1309 | Kiphire | 80 | 0.1% |
1310 | Kohima | 240 | 0.2% |
1311 | Peren | 100 | 0.1% |
1401 | Senapati | 366 | 0.3% |
1402 | Tamenglong | 160 | 0.1% |
1403 | Churachandpur | 294 | 0.2% |
1404 | Bishnupur | 240 | 0.2% |
1405 | Thoubal | 560 | 0.4% |
1406 | Imphal West | 630 | 0.5% |
1407 | Imphal East | 560 | 0.4% |
1408 | Ukhrul | 240 | 0.2% |
1409 | Chandel | 167 | 0.1% |
1501 | Mamit | 120 | 0.1% |
1502 | Kolasib | 160 | 0.1% |
1503 | Aizawl | 720 | 0.5% |
1504 | Champhai | 240 | 0.2% |
1505 | Serchhip | 80 | 0.1% |
1506 | Lunglei | 339 | 0.2% |
1507 | Lawngtlai | 170 | 0.1% |
1508 | Saiha | 80 | 0.1% |
1601 | West Tripura | 1200 | 0.9% |
1602 | South Tripura | 600 | 0.4% |
1603 | Dhalai | 240 | 0.2% |
1604 | North Tripura | 440 | 0.3% |
1701 | West Garo Hills | 327 | 0.2% |
1702 | East Garo Hills | 170 | 0.1% |
1703 | South Garo Hills | 80 | 0.1% |
1704 | West Khasi Hills | 229 | 0.2% |
1705 | Ribhoi | 120 | 0.1% |
1706 | East Khasi Hills | 454 | 0.3% |
1707 | Jaintia Hills | 247 | 0.2% |
1801 | Kokrajhar | 160 | 0.1% |
1802 | Dhubri | 240 | 0.2% |
1803 | Goalpara | 160 | 0.1% |
1804 | Barpeta | 200 | 0.1% |
1805 | Morigaon | 160 | 0.1% |
1806 | Nagaon | 280 | 0.2% |
1807 | Sonitpur | 280 | 0.2% |
1808 | Lakhimpur | 160 | 0.1% |
1809 | Dhemaji | 120 | 0.1% |
1810 | Tinsukia | 200 | 0.1% |
1811 | Dibrugarh | 200 | 0.1% |
1812 | Sivasagar | 160 | 0.1% |
1813 | Jorhat | 160 | 0.1% |
1814 | Golaghat | 194 | 0.1% |
1815 | Karbi Anglong | 177 | 0.1% |
1816 | Dima Hasao | 80 | 0.1% |
1817 | Cachar | 240 | 0.2% |
1818 | Karimganj | 160 | 0.1% |
1819 | Hailakandi | 120 | 0.1% |
1820 | Bongaigaon | 120 | 0.1% |
1821 | Chirang | 120 | 0.1% |
1822 | Kamrup | 207 | 0.1% |
1823 | Kamrup Metropolitan | 157 | 0.1% |
1824 | Nalbari | 150 | 0.1% |
1825 | Baksa | 120 | 0.1% |
1826 | Darrang | 160 | 0.1% |
1827 | Udalguri | 160 | 0.1% |
1901 | Darjiling | 200 | 0.1% |
1902 | Jalpaiguri | 360 | 0.3% |
1903 | Koch Bihar | 320 | 0.2% |
1904 | Uttar Dinajpur | 320 | 0.2% |
1905 | Dakshin Dinajpur | 200 | 0.1% |
1906 | Maldah | 357 | 0.3% |
1907 | Murshidabad | 520 | 0.4% |
1908 | Birbhum | 318 | 0.2% |
1909 | Barddhaman | 680 | 0.5% |
1910 | Nadia | 400 | 0.3% |
1911 | North Twenty Four Parganas | 1036 | 0.7% |
1912 | Hugli | 520 | 0.4% |
1913 | Bankura | 360 | 0.3% |
1914 | Puruliya | 326 | 0.2% |
1915 | Haora | 478 | 0.3% |
1916 | Kolkata | 553 | 0.4% |
1917 | South Twenty Four Parganas | 676 | 0.5% |
1918 | Paschim Medinipur | 493 | 0.4% |
1919 | Purba Medinipur | 440 | 0.3% |
2001 | Garhwa | 160 | 0.1% |
2002 | Chatra | 120 | 0.1% |
2003 | Kodarma | 120 | 0.1% |
2004 | Giridih | 239 | 0.2% |
2005 | Deoghar | 170 | 0.1% |
2006 | Godda | 160 | 0.1% |
2007 | Sahibganj | 120 | 0.1% |
2008 | Pakur | 120 | 0.1% |
2009 | Dhanbad | 279 | 0.2% |
2010 | Bokaro | 240 | 0.2% |
2011 | Lohardaga | 120 | 0.1% |
2012 | Purbi Singhbhum | 277 | 0.2% |
2013 | Palamu | 197 | 0.1% |
2014 | Latehar | 110 | 0.1% |
2015 | Hazaribagh | 160 | 0.1% |
2016 | Ramgarh | 160 | 0.1% |
2017 | Dumka | 170 | 0.1% |
2018 | Jamtara | 120 | 0.1% |
2019 | Ranchi | 320 | 0.2% |
2020 | Khunti | 119 | 0.1% |
2021 | Gumla | 120 | 0.1% |
2022 | Simdega | 120 | 0.1% |
2023 | Pashchimi Singhbhum | 160 | 0.1% |
2024 | Saraikela-Kharsawan | 120 | 0.1% |
2101 | Bargarh | 200 | 0.1% |
2102 | Jharsuguda | 120 | 0.1% |
2103 | Sambalpur | 159 | 0.1% |
2104 | Debagarh | 120 | 0.1% |
2105 | Sundargarh | 244 | 0.2% |
2106 | Kendujhar | 200 | 0.1% |
2107 | Mayurbhanj | 250 | 0.2% |
2108 | Baleshwar | 240 | 0.2% |
2109 | Bhadrak | 200 | 0.1% |
2110 | Kendrapara | 200 | 0.1% |
2111 | Jagatsinghapur | 160 | 0.1% |
2112 | Cuttack | 279 | 0.2% |
2113 | Jajapur | 200 | 0.1% |
2114 | Dhenkanal | 160 | 0.1% |
2115 | Anugul | 170 | 0.1% |
2116 | Nayagarh | 160 | 0.1% |
2117 | Khordha | 250 | 0.2% |
2118 | Puri | 200 | 0.1% |
2119 | Ganjam | 320 | 0.2% |
2120 | Gajapati | 120 | 0.1% |
2121 | Kandhamal | 120 | 0.1% |
2122 | Baudh | 133 | 0.1% |
2123 | Subarnapur | 120 | 0.1% |
2124 | Balangir | 200 | 0.1% |
2125 | Nuapada | 120 | 0.1% |
2126 | Kalahandi | 200 | 0.1% |
2127 | Rayagada | 124 | 0.1% |
2128 | Nabarangapur | 160 | 0.1% |
2129 | Koraput | 169 | 0.1% |
2130 | Malkangiri | 120 | 0.1% |
2201 | Koriya | 126 | 0.1% |
2202 | Surguja | 240 | 0.2% |
2203 | Jashpur | 120 | 0.1% |
2204 | Raigarh | 160 | 0.1% |
2205 | Korba | 160 | 0.1% |
2206 | Janjgir-Champa | 160 | 0.1% |
2207 | Bilaspur | 280 | 0.2% |
2208 | Kabeerdham | 127 | 0.1% |
2209 | Rajnandgaon | 170 | 0.1% |
2210 | Durg | 360 | 0.3% |
2211 | Raipur | 434 | 0.3% |
2212 | Mahasamund | 159 | 0.1% |
2213 | Dhamtari | 120 | 0.1% |
2214 | Uttar Bastar Kanker | 158 | 0.1% |
2215 | Bastar | 200 | 0.1% |
2216 | Narayanpur | 80 | 0.1% |
2217 | Dakshin Bastar Dantewada | 80 | 0.1% |
2218 | Bijapur | 80 | 0.1% |
2301 | Sheopur | 80 | 0.1% |
2302 | Morena | 160 | 0.1% |
2303 | Bhind | 120 | 0.1% |
2304 | Gwalior | 200 | 0.1% |
2305 | Datia | 80 | 0.1% |
2306 | Shivpuri | 120 | 0.1% |
2307 | Tikamgarh | 120 | 0.1% |
2308 | Chhatarpur | 120 | 0.1% |
2309 | Panna | 120 | 0.1% |
2310 | Sagar | 200 | 0.1% |
2311 | Damoh | 120 | 0.1% |
2312 | Satna | 160 | 0.1% |
2313 | Rewa | 210 | 0.2% |
2314 | Umaria | 80 | 0.1% |
2315 | Neemuch | 80 | 0.1% |
2316 | Mandsaur | 120 | 0.1% |
2317 | Ratlam | 130 | 0.1% |
2318 | Ujjain | 230 | 0.2% |
2319 | Shajapur | 167 | 0.1% |
2320 | Dewas | 160 | 0.1% |
2321 | Dhar | 158 | 0.1% |
2322 | Indore | 277 | 0.2% |
2323 | Khargone (West Nimar) | 200 | 0.1% |
2324 | Barwani | 120 | 0.1% |
2325 | Rajgarh | 120 | 0.1% |
2326 | Vidisha | 120 | 0.1% |
2327 | Bhopal | 226 | 0.2% |
2328 | Sehore | 110 | 0.1% |
2329 | Raisen | 120 | 0.1% |
2330 | Betul | 150 | 0.1% |
2331 | Harda | 122 | 0.1% |
2332 | Hoshangabad | 119 | 0.1% |
2333 | Katni | 119 | 0.1% |
2334 | Jabalpur | 239 | 0.2% |
2335 | Narsimhapur | 120 | 0.1% |
2336 | Dindori | 80 | 0.1% |
2337 | Mandla | 120 | 0.1% |
2338 | Chhindwara | 200 | 0.1% |
2339 | Seoni | 120 | 0.1% |
2340 | Balaghat | 160 | 0.1% |
2341 | Guna | 120 | 0.1% |
2342 | Ashoknagar | 80 | 0.1% |
2343 | Shahdol | 120 | 0.1% |
2344 | Anuppur | 120 | 0.1% |
2345 | Sidhi | 160 | 0.1% |
2346 | Singrauli | 120 | 0.1% |
2347 | Jhabua | 120 | 0.1% |
2348 | Alirajpur | 80 | 0.1% |
2349 | Khandwa (East Nimar) | 120 | 0.1% |
2350 | Burhanpur | 120 | 0.1% |
2401 | Kachchh | 170 | 0.1% |
2402 | Banas Kantha | 240 | 0.2% |
2403 | Patan | 120 | 0.1% |
2404 | Mahesana | 160 | 0.1% |
2405 | Sabar Kantha | 200 | 0.1% |
2406 | Gandhinagar | 160 | 0.1% |
2407 | Ahmadabad | 557 | 0.4% |
2408 | Surendranagar | 160 | 0.1% |
2409 | Rajkot | 320 | 0.2% |
2410 | Jamnagar | 210 | 0.2% |
2411 | Porbandar | 128 | 0.1% |
2412 | Junagadh | 200 | 0.1% |
2413 | Amreli | 120 | 0.1% |
2414 | Bhavnagar | 240 | 0.2% |
2415 | Anand | 160 | 0.1% |
2416 | Kheda | 200 | 0.1% |
2417 | Panch Mahals | 160 | 0.1% |
2418 | Dohad | 160 | 0.1% |
2419 | Vadodara | 350 | 0.3% |
2420 | Narmada | 120 | 0.1% |
2421 | Bharuch | 160 | 0.1% |
2422 | The Dangs | 80 | 0.1% |
2423 | Navsari | 160 | 0.1% |
2424 | Valsad | 160 | 0.1% |
2425 | Surat | 425 | 0.3% |
2426 | Tapi | 120 | 0.1% |
2501 | Diu | 40 | 0.0% |
2502 | Daman | 119 | 0.1% |
2601 | Dadra & Nagar Haveli | 240 | 0.2% |
2701 | Nandurbar | 200 | 0.1% |
2702 | Dhule | 200 | 0.1% |
2703 | Jalgaon | 400 | 0.3% |
2704 | Buldana | 240 | 0.2% |
2705 | Akola | 286 | 0.2% |
2706 | Washim | 120 | 0.1% |
2707 | Amravati | 320 | 0.2% |
2708 | Wardha | 160 | 0.1% |
2709 | Nagpur | 397 | 0.3% |
2710 | Bhandara | 120 | 0.1% |
2711 | Gondiya | 200 | 0.1% |
2712 | Gadchiroli | 166 | 0.1% |
2713 | Chandrapur | 200 | 0.1% |
2714 | Yavatmal | 280 | 0.2% |
2715 | Nanded | 360 | 0.3% |
2716 | Hingoli | 120 | 0.1% |
2717 | Parbhani | 200 | 0.1% |
2718 | Jalna | 200 | 0.1% |
2719 | Aurangabad | 360 | 0.3% |
2720 | Nashik | 600 | 0.4% |
2721 | Thane | 1028 | 0.7% |
2722 | Mumbai Suburban | 1044 | 0.7% |
2723 | Mumbai | 0 | 0.0% |
2724 | Raigarh | 238 | 0.2% |
2725 | Pune | 878 | 0.6% |
2726 | Ahmadnagar | 400 | 0.3% |
2727 | Bid | 240 | 0.2% |
2728 | Latur | 236 | 0.2% |
2729 | Osmanabad | 160 | 0.1% |
2730 | Solapur | 353 | 0.3% |
2731 | Satara | 280 | 0.2% |
2732 | Ratnagiri | 170 | 0.1% |
2733 | Sindhudurg | 120 | 0.1% |
2734 | Kolhapur | 360 | 0.3% |
2735 | Sangli | 280 | 0.2% |
2810 | 10 | 0.0% | |
2811 | Srikakulam | 260 | 0.2% |
2812 | Vizianagaram | 239 | 0.2% |
2813 | Visakhapatnam | 450 | 0.3% |
2814 | East Godavari | 520 | 0.4% |
2815 | West Godavari | 400 | 0.3% |
2816 | Krishna | 479 | 0.3% |
2817 | Guntur | 560 | 0.4% |
2818 | Prakasam | 359 | 0.3% |
2819 | Sri Potti Sriramulu Nellore | 320 | 0.2% |
2820 | Y.S.R. (Cuddapah) | 280 | 0.2% |
2821 | Kurnool | 370 | 0.3% |
2822 | Anantapur | 390 | 0.3% |
2823 | Chittoor | 403 | 0.3% |
2901 | Belgaum | 400 | 0.3% |
2902 | Bagalkot | 160 | 0.1% |
2903 | Bijapur | 200 | 0.1% |
2904 | Bidar | 160 | 0.1% |
2905 | Raichur | 200 | 0.1% |
2906 | Koppal | 160 | 0.1% |
2907 | Gadag | 80 | 0.1% |
2908 | Dharwad | 240 | 0.2% |
2909 | Uttara Kannada | 190 | 0.1% |
2910 | Haveri | 159 | 0.1% |
2911 | Bellary | 280 | 0.2% |
2912 | Chitradurga | 160 | 0.1% |
2913 | Davanagere | 239 | 0.2% |
2914 | Shimoga | 160 | 0.1% |
2915 | Udupi | 158 | 0.1% |
2916 | Chikmagalur | 120 | 0.1% |
2917 | Tumkur | 239 | 0.2% |
2918 | Bangalore | 720 | 0.5% |
2919 | Mandya | 160 | 0.1% |
2920 | Hassan | 160 | 0.1% |
2921 | Dakshina Kannada | 237 | 0.2% |
2922 | Kodagu | 80 | 0.1% |
2923 | Mysore | 280 | 0.2% |
2924 | Chamarajanagar | 120 | 0.1% |
2925 | Gulbarga | 240 | 0.2% |
2926 | Yadgir | 120 | 0.1% |
2927 | Kolar | 160 | 0.1% |
2928 | Chikkaballapura | 127 | 0.1% |
2929 | Bangalore (Rural) | 120 | 0.1% |
2930 | Ramanagara | 119 | 0.1% |
3001 | North Goa | 320 | 0.2% |
3002 | South Goa | 280 | 0.2% |
3101 | Lakshadweep | 230 | 0.2% |
3201 | Kasaragod | 230 | 0.2% |
3202 | Kannur | 390 | 0.3% |
3203 | Wayanad | 200 | 0.1% |
3204 | Kozhikode | 509 | 0.4% |
3205 | Malappuram | 639 | 0.5% |
3206 | Palakkad | 440 | 0.3% |
3207 | Thrissur | 519 | 0.4% |
3208 | Ernakulam | 540 | 0.4% |
3209 | Idukki | 240 | 0.2% |
3210 | Kottayam | 360 | 0.3% |
3211 | Alappuzha | 399 | 0.3% |
3212 | Pathanamthitta | 240 | 0.2% |
3213 | Kollam | 480 | 0.3% |
3214 | Thiruvananthapuram | 619 | 0.4% |
3301 | Thiruvallur | 440 | 0.3% |
3302 | Chennai | 430 | 0.3% |
3303 | Kancheepuram | 400 | 0.3% |
3304 | Vellore | 440 | 0.3% |
3305 | Tiruvannamalai | 280 | 0.2% |
3306 | Viluppuram | 360 | 0.3% |
3307 | Salem | 360 | 0.3% |
3308 | Namakkal | 200 | 0.1% |
3309 | Erode | 280 | 0.2% |
3310 | The Nilgiris | 120 | 0.1% |
3311 | Dindigul | 240 | 0.2% |
3312 | Karur | 160 | 0.1% |
3313 | Tiruchirappalli | 320 | 0.2% |
3314 | Perambalur | 120 | 0.1% |
3315 | Ariyalur | 120 | 0.1% |
3316 | Cuddalore | 280 | 0.2% |
3317 | Nagapattinam | 200 | 0.1% |
3318 | Thiruvarur | 160 | 0.1% |
3319 | Thanjavur | 260 | 0.2% |
3320 | Pudukkottai | 246 | 0.2% |
3321 | Sivaganga | 200 | 0.1% |
3322 | Madurai | 316 | 0.2% |
3323 | Theni | 160 | 0.1% |
3324 | Virudhunagar | 234 | 0.2% |
3325 | Ramanathapuram | 200 | 0.1% |
3326 | Thoothukkudi | 200 | 0.1% |
3327 | Tirunelveli | 360 | 0.3% |
3328 | Kanniyakumari | 199 | 0.1% |
3329 | Dharmapuri | 200 | 0.1% |
3330 | Krishnagiri | 240 | 0.2% |
3331 | Coimbatore | 440 | 0.3% |
3332 | Tiruppur | 320 | 0.2% |
3401 | Yanam | 40 | 0.0% |
3402 | Puducherry | 520 | 0.4% |
3403 | Mahe | 40 | 0.0% |
3404 | Karaikal | 120 | 0.1% |
3501 | Nicobars | 40 | 0.0% |
3502 | North & Middle Andaman | 210 | 0.2% |
3503 | South Andaman | 456 | 0.3% |
3601 | Adilabad | 300 | 0.2% |
3602 | Nizamabad | 240 | 0.2% |
3603 | Karimnagar | 340 | 0.2% |
3604 | Medak | 330 | 0.2% |
3605 | Hyderabad | 680 | 0.5% |
3606 | Rangareddy | 290 | 0.2% |
3607 | Mahbubnagar | 439 | 0.3% |
3608 | Nalgonda | 350 | 0.3% |
3609 | Warangal | 400 | 0.3% |
3610 | Khammam | 310 | 0.2% |
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.