India - Unincorporated Non-Agricultural Enterprises (Excluding Construction) - JULY 2015 - JUNE 2016, 73 round
Reference ID | DDI-IND-MOSPI-NSSO-73Rnd-Sch2.34-July2015-June2016 |
Year | 0 |
Country | India |
Producer(s) | National Sample Survey Office - M/o Statistics 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
Mar 27, 2018
Last modified
Dec 14, 2020
Page views
1107441
- (Semi-Round-1)- Bloc
k 1-Identification o
f sample enterprises - (Semi-Round-1)- Bloc
k 2-Particulars of o
peration and backgro
und information - (Semi-Round-1)-Block
2pt1-Activities pur
sued by the enterpri
se during last 30 da
ys ended. - (Semi-Round-1)-Block
3-Principal operati
ng expenses during l
ast 30 days - (Semi-Round-1)-Block
4-Other operating e
xpenses during last
30 days - (Semi-Round-1)-Block
5-Principal receipt
s during last 30 day
s - (Semi-Round-1)-Block
6-Other receipts du
ring last 30 days - (Semi-Round-1)-Block
7-Calculation of gr
oss value added duri
ng last 30 days - (Semi-Round-1)-Block
8-Employment partic
ulars of the enterpr
ise during last 30 d
ays - (Semi-Round-1)-Block
9-Compensation to w
orkers during last 3
0 days. - (Semi-Round-1)-Block
10-Land and fixed a
ssets owned and hire
d as on the last dat
e of reference year
and monthly rent pay
able on hired assets - (Semi-Round-1)- Bloc
k 10pt1-Original val
ue of plant and mach
inery equipment - (Semi-Round-1)-Block
11- Loan outstandin
g as on last date of
the reference year - (Semi-Round-1)-Block
11pt1-The amount of
loan advanced by fi
nancial enterprises
(excluding stock bro
cker sub-broker) - (Semi-Round-1)-Block
12-Factor income of
the enterprise duri
ng last 30 days (onl
y for non-financial
enterprises) - (Semi-Round-1)-Block
13-Inventories duri
ng the reference yea
r for enterprises pr
oviding data from bo
oks of accounts. - (Semi-Round-1)-Block
14- Particulars of
use of information a
nd communication tec
hnology(ICT) by the
enterprise with 10 o
r more workers durin
g last 365 days - (Semi-Round-1)-Block
15-Particulars of f
ield operation - (Semi-Round-2)- Bloc
k 1-Identification o
f sample enterprises - (Semi-Round-2)- Bloc
k 2-Particulars of o
peration and backgro
und information - (Semi-Round-2)-Block
2pt1-Activities pur
sued by the enterpri
se during last 30 da
ys ended. - (Semi-Round-2)-Block
3-Principal operati
ng expenses during l
ast 30 days - (Semi-Round-2)-Block
4-Other operating e
xpenses during last
30 days - (Semi-Round-2)-Block
5-Principal receipt
s during last 30 day
s - (Semi-Round-2)-Block
6-Other receipts du
ring last 30 days - (Semi-Round-2)-Block
7-Calculation of gr
oss value added duri
ng last 30 days - (Semi-Round-2)-Block
8-Employment partic
ulars of the enterpr
ise during last 30 d
ays - (Semi-Round-2)-Block
9-Compensation to w
orkers during last 3
0 days. - (Semi-Round-2)-Block
10-Land and fixed a
ssets owned and hire
d as on the last dat
e of reference year
and monthly rent pay
able on hired assets - (Semi-Round-2)- Bloc
k 10pt1-Original val
ue of plant and mach
inery equipment - (Semi-Round-2)-Block
11- Loan outstandin
g as on last date of
the reference year - (Semi-Round-2)-Block
11pt1-The amount of
loan advanced by fi
nancial enterprises
(excluding stock bro
cker sub-broker) - (Semi-Round-2)-Block
12-Factor income of
the enterprise duri
ng last 30 days (onl
y for non-financial
enterprises) - (Semi-Round-2)-Block
13-Inventories duri
ng the reference yea
r for enterprises pr
oviding data from bo
oks of accounts - (Semi-Round-2)-Block
14- Particulars of
use of information a
nd communication tec
hnology(ICT) by the
enterprise with 10 o
r more workers durin
g last 365 days - (Semi-Round-2)-Block
15-Particulars of f
ield operation
Variable Groups
‘State-District’
(State_District)
File: (Semi-Round-1)-Block 11- Loan outstanding as on last date of the reference year
File: (Semi-Round-1)-Block 11- Loan outstanding as on last date of the reference year
Overview
Type:
Discrete Format: character Width: 4 | Valid cases: 45189 Invalid: 0 |
Value | Category | Cases | |
---|---|---|---|
0101 | Kupwara | 32 | 0.1% |
0102 | Badgam | 11 | 0.0% |
0103 | Leh (Ladakh) | 44 | 0.1% |
0104 | Kargil | 6 | 0.0% |
0105 | Punch | 12 | 0.0% |
0106 | Rajouri | 14 | 0.0% |
0107 | Kathua | 2 | 0.0% |
0108 | Baramula | 30 | 0.1% |
0109 | Bandipore | 11 | 0.0% |
0110 | Srinagar | 72 | 0.2% |
0111 | Ganderbal | 18 | 0.0% |
0112 | Pulwama | 102 | 0.2% |
0113 | Shupiyan | 22 | 0.0% |
0114 | Anantnag | 169 | 0.4% |
0115 | Kulgam | 72 | 0.2% |
0116 | Doda | 4 | 0.0% |
0117 | Ramban | 6 | 0.0% |
0118 | Kishtwar | 0 | 0.0% |
0119 | Udhampur | 16 | 0.0% |
0120 | Reasi | 4 | 0.0% |
0121 | Jammu | 65 | 0.1% |
0122 | Samba | 23 | 0.1% |
0201 | Chamba | 32 | 0.1% |
0202 | Kangra | 136 | 0.3% |
0203 | Lahul & Spiti | 2 | 0.0% |
0204 | Kullu | 53 | 0.1% |
0205 | Mandi | 70 | 0.2% |
0206 | Hamirpur | 74 | 0.2% |
0207 | Una | 116 | 0.3% |
0208 | Bilaspur | 138 | 0.3% |
0209 | Solan | 226 | 0.5% |
0210 | Sirmaur | 103 | 0.2% |
0211 | Shimla | 57 | 0.1% |
0212 | Kinnaur | 18 | 0.0% |
0301 | Gurdaspur | 17 | 0.0% |
0302 | Kapurthala | 41 | 0.1% |
0303 | Jalandhar | 40 | 0.1% |
0304 | Hoshiarpur | 61 | 0.1% |
0305 | Shahid Bhagat Singh Nagar | 53 | 0.1% |
0306 | Fatehgarh Sahib | 2 | 0.0% |
0307 | Ludhiana | 100 | 0.2% |
0308 | Moga | 39 | 0.1% |
0309 | Firozpur | 28 | 0.1% |
0310 | Muktsar | 59 | 0.1% |
0311 | Faridkot | 14 | 0.0% |
0312 | Bathinda | 146 | 0.3% |
0313 | Mansa | 35 | 0.1% |
0314 | Patiala | 17 | 0.0% |
0315 | Amritsar | 19 | 0.0% |
0316 | Tarn Taran | 11 | 0.0% |
0317 | Rupnagar | 20 | 0.0% |
0318 | Sahibzada Ajit Singh Nagar | 33 | 0.1% |
0319 | Sangrur | 36 | 0.1% |
0320 | Barnala | 6 | 0.0% |
0321 | Pathankot | 18 | 0.0% |
0322 | Fazilka | 16 | 0.0% |
0401 | Chandigarh | 28 | 0.1% |
0501 | Uttarkashi | 25 | 0.1% |
0502 | Chamoli | 12 | 0.0% |
0503 | Rudraprayag | 6 | 0.0% |
0504 | Tehri Garhwal | 21 | 0.0% |
0505 | Dehradun | 76 | 0.2% |
0506 | Garhwal | 33 | 0.1% |
0507 | Pithoragarh | 22 | 0.0% |
0508 | Bageshwar | 7 | 0.0% |
0509 | Almora | 14 | 0.0% |
0510 | Champawat | 8 | 0.0% |
0511 | Nainital | 38 | 0.1% |
0512 | Udham Singh Nagar | 66 | 0.1% |
0513 | Hardwar | 145 | 0.3% |
0601 | Panchkula | 12 | 0.0% |
0602 | Ambala | 135 | 0.3% |
0603 | Yamunanagar | 97 | 0.2% |
0604 | Kurukshetra | 92 | 0.2% |
0605 | Kaithal | 132 | 0.3% |
0606 | Karnal | 51 | 0.1% |
0607 | Panipat | 57 | 0.1% |
0608 | Sonipat | 113 | 0.3% |
0609 | Jind | 94 | 0.2% |
0610 | Fatehabad | 35 | 0.1% |
0611 | Sirsa | 56 | 0.1% |
0612 | Hisar | 67 | 0.1% |
0613 | Bhiwani | 18 | 0.0% |
0614 | Rohtak | 44 | 0.1% |
0615 | Jhajjar | 142 | 0.3% |
0616 | Mahendragarh | 11 | 0.0% |
0617 | Rewari | 30 | 0.1% |
0618 | Gurgaon | 82 | 0.2% |
0619 | Mewat | 37 | 0.1% |
0620 | Faridabad | 44 | 0.1% |
0621 | Palwal | 41 | 0.1% |
0701 | North West | 165 | 0.4% |
0702 | North | 67 | 0.1% |
0703 | North East | 8 | 0.0% |
0704 | East | 55 | 0.1% |
0705 | New Delhi | 14 | 0.0% |
0706 | Central | 101 | 0.2% |
0707 | West | 68 | 0.2% |
0708 | South West | 2 | 0.0% |
0709 | South | 6 | 0.0% |
0710 | 14 | 0.0% | |
0711 | 29 | 0.1% | |
0801 | Ganganagar | 26 | 0.1% |
0802 | Hanumangarh | 13 | 0.0% |
0803 | Bikaner | 8 | 0.0% |
0804 | Churu | 26 | 0.1% |
0805 | Jhunjhunun | 24 | 0.1% |
0806 | Alwar | 118 | 0.3% |
0807 | Bharatpur | 6 | 0.0% |
0808 | Dhaulpur | 44 | 0.1% |
0809 | Karauli | 38 | 0.1% |
0810 | Sawai Madhopur | 57 | 0.1% |
0811 | Dausa | 40 | 0.1% |
0812 | Jaipur | 127 | 0.3% |
0813 | Sikar | 16 | 0.0% |
0814 | Nagaur | 119 | 0.3% |
0815 | Jodhpur | 68 | 0.2% |
0816 | Jaisalmer | 6 | 0.0% |
0817 | Barmer | 13 | 0.0% |
0818 | Jalor | 29 | 0.1% |
0819 | Sirohi | 26 | 0.1% |
0820 | Pali | 29 | 0.1% |
0821 | Ajmer | 139 | 0.3% |
0822 | Tonk | 18 | 0.0% |
0823 | Bundi | 28 | 0.1% |
0824 | Bhilwara | 75 | 0.2% |
0825 | Rajsamand | 79 | 0.2% |
0826 | Dungarpur | 25 | 0.1% |
0827 | Banswara | 48 | 0.1% |
0828 | Chittaurgarh | 64 | 0.1% |
0829 | Kota | 48 | 0.1% |
0830 | Baran | 16 | 0.0% |
0831 | Jhalawar | 41 | 0.1% |
0832 | Udaipur | 71 | 0.2% |
0833 | Pratapgarh | 25 | 0.1% |
0901 | Saharanpur | 77 | 0.2% |
0902 | Muzaffarnagar | 87 | 0.2% |
0903 | Bijnor | 2 | 0.0% |
0904 | Moradabad | 10 | 0.0% |
0905 | Rampur | 2 | 0.0% |
0906 | Jyotiba Phule Nagar | 6 | 0.0% |
0907 | Meerut | 89 | 0.2% |
0908 | Baghpat | 31 | 0.1% |
0909 | Ghaziabad | 92 | 0.2% |
0910 | Gautam Buddha Nagar | 38 | 0.1% |
0911 | Bulandshahr | 32 | 0.1% |
0912 | Aligarh | 29 | 0.1% |
0913 | Mahamaya Nagar | 22 | 0.0% |
0914 | Mathura | 30 | 0.1% |
0915 | Agra | 99 | 0.2% |
0916 | Firozabad | 48 | 0.1% |
0917 | Mainpuri | 4 | 0.0% |
0918 | Budaun | 26 | 0.1% |
0919 | Bareilly | 55 | 0.1% |
0920 | Pilibhit | 12 | 0.0% |
0921 | Shahjahanpur | 4 | 0.0% |
0922 | Kheri | 32 | 0.1% |
0923 | Sitapur | 9 | 0.0% |
0924 | Hardoi | 27 | 0.1% |
0925 | Unnao | 2 | 0.0% |
0926 | Lucknow | 52 | 0.1% |
0927 | Rae Bareli | 61 | 0.1% |
0928 | Farrukhabad | 36 | 0.1% |
0929 | Kannauj | 28 | 0.1% |
0930 | Etawah | 24 | 0.1% |
0931 | Auraiya | 14 | 0.0% |
0932 | Kanpur Dehat | 6 | 0.0% |
0933 | Kanpur Nagar | 12 | 0.0% |
0934 | Jalaun | 0 | 0.0% |
0935 | Jhansi | 4 | 0.0% |
0936 | Lalitpur | 2 | 0.0% |
0937 | Hamirpur | 6 | 0.0% |
0938 | Mahoba | 0 | 0.0% |
0939 | Banda | 57 | 0.1% |
0940 | Chitrakoot | 48 | 0.1% |
0941 | Fatehpur | 28 | 0.1% |
0942 | Pratapgarh | 22 | 0.0% |
0943 | Kaushambi | 10 | 0.0% |
0944 | Allahabad | 105 | 0.2% |
0945 | Bara Banki | 13 | 0.0% |
0946 | Faizabad | 91 | 0.2% |
0947 | Ambedkar Nagar | 79 | 0.2% |
0948 | Sultanpur | 68 | 0.2% |
0949 | Bahraich | 0 | 0.0% |
0950 | Shrawasti | 0 | 0.0% |
0951 | Balrampur | 0 | 0.0% |
0952 | Gonda | 0 | 0.0% |
0953 | Siddharthnagar | 34 | 0.1% |
0954 | Basti | 142 | 0.3% |
0955 | Sant Kabir Nagar | 31 | 0.1% |
0956 | Mahrajganj | 58 | 0.1% |
0957 | Gorakhpur | 91 | 0.2% |
0958 | Kushinagar | 34 | 0.1% |
0959 | Deoria | 47 | 0.1% |
0960 | Azamgarh | 58 | 0.1% |
0961 | Mau | 37 | 0.1% |
0962 | Ballia | 46 | 0.1% |
0963 | Jaunpur | 34 | 0.1% |
0964 | Ghazipur | 24 | 0.1% |
0965 | Chandauli | 32 | 0.1% |
0966 | Varanasi | 56 | 0.1% |
0967 | Sant Ravidas Nagar (Bhadohi) | 14 | 0.0% |
0968 | Mirzapur | 44 | 0.1% |
0969 | Sonbhadra | 34 | 0.1% |
0970 | Etah | 10 | 0.0% |
0971 | Kanshiram Nagar | 12 | 0.0% |
1001 | Pashchim Champaran | 12 | 0.0% |
1002 | Purba Champaran | 75 | 0.2% |
1003 | Sheohar | 2 | 0.0% |
1004 | Sitamarhi | 38 | 0.1% |
1005 | Madhubani | 99 | 0.2% |
1006 | Supaul | 2 | 0.0% |
1007 | Araria | 23 | 0.1% |
1008 | Kishanganj | 6 | 0.0% |
1009 | Purnia | 29 | 0.1% |
1010 | Katihar | 12 | 0.0% |
1011 | Madhepura | 30 | 0.1% |
1012 | Saharsa | 22 | 0.0% |
1013 | Darbhanga | 22 | 0.0% |
1014 | Muzaffarpur | 62 | 0.1% |
1015 | Gopalganj | 155 | 0.3% |
1016 | Siwan | 58 | 0.1% |
1017 | Saran | 75 | 0.2% |
1018 | Vaishali | 53 | 0.1% |
1019 | Samastipur | 13 | 0.0% |
1020 | Begusarai | 17 | 0.0% |
1021 | Khagaria | 28 | 0.1% |
1022 | Bhagalpur | 31 | 0.1% |
1023 | Banka | 0 | 0.0% |
1024 | Munger | 17 | 0.0% |
1025 | Lakhisarai | 19 | 0.0% |
1026 | Sheikhpura | 32 | 0.1% |
1027 | Nalanda | 54 | 0.1% |
1028 | Patna | 80 | 0.2% |
1029 | Bhojpur | 10 | 0.0% |
1030 | Buxar | 10 | 0.0% |
1031 | Kaimur (Bhabua) | 2 | 0.0% |
1032 | Rohtas | 14 | 0.0% |
1033 | Aurangabad | 8 | 0.0% |
1034 | Gaya | 28 | 0.1% |
1035 | Nawada | 16 | 0.0% |
1036 | Jamui | 18 | 0.0% |
1037 | Jehanabad | 0 | 0.0% |
1038 | Arwal | 4 | 0.0% |
1101 | North District | 2 | 0.0% |
1102 | West District | 6 | 0.0% |
1103 | South District | 16 | 0.0% |
1104 | East District | 13 | 0.0% |
1201 | Tawang | 2 | 0.0% |
1202 | West Kameng | 14 | 0.0% |
1203 | East Kameng | 18 | 0.0% |
1204 | Papum Pare | 4 | 0.0% |
1205 | Upper Subansiri | 0 | 0.0% |
1206 | West Siang | 18 | 0.0% |
1207 | East Siang | 0 | 0.0% |
1208 | Upper Siang | 21 | 0.0% |
1209 | Changlang | 20 | 0.0% |
1210 | Tirap | 0 | 0.0% |
1211 | Lower Subansiri | 2 | 0.0% |
1212 | Kurung Kumey | 0 | 0.0% |
1213 | Dibang Valley | 0 | 0.0% |
1214 | Lower Dibang Valley | 0 | 0.0% |
1215 | Lohit | 0 | 0.0% |
1216 | Anjaw | 0 | 0.0% |
1301 | Mon | 8 | 0.0% |
1302 | Mokokchung | 8 | 0.0% |
1303 | Zunheboto | 8 | 0.0% |
1304 | Wokha | 0 | 0.0% |
1305 | Dimapur | 6 | 0.0% |
1306 | Phek | 12 | 0.0% |
1307 | Tuensang | 0 | 0.0% |
1308 | Longleng | 12 | 0.0% |
1309 | Kiphire | 6 | 0.0% |
1310 | Kohima | 16 | 0.0% |
1311 | Peren | 0 | 0.0% |
1401 | Senapati | 0 | 0.0% |
1402 | Tamenglong | 0 | 0.0% |
1403 | Churachandpur | 4 | 0.0% |
1404 | Bishnupur | 0 | 0.0% |
1405 | Thoubal | 64 | 0.1% |
1406 | Imphal West | 8 | 0.0% |
1407 | Imphal East | 81 | 0.2% |
1408 | Ukhrul | 2 | 0.0% |
1409 | Chandel | 51 | 0.1% |
1501 | Mamit | 10 | 0.0% |
1502 | Kolasib | 6 | 0.0% |
1503 | Aizawl | 18 | 0.0% |
1504 | Champhai | 14 | 0.0% |
1505 | Serchhip | 24 | 0.1% |
1506 | Lunglei | 2 | 0.0% |
1507 | Lawngtlai | 4 | 0.0% |
1508 | Saiha | 2 | 0.0% |
1601 | West Tripura | 144 | 0.3% |
1602 | South Tripura | 0 | 0.0% |
1603 | Dhalai | 0 | 0.0% |
1604 | North Tripura | 54 | 0.1% |
1701 | West Garo Hills | 27 | 0.1% |
1702 | East Garo Hills | 6 | 0.0% |
1703 | South Garo Hills | 0 | 0.0% |
1704 | West Khasi Hills | 0 | 0.0% |
1705 | Ribhoi | 8 | 0.0% |
1706 | East Khasi Hills | 5 | 0.0% |
1707 | Jaintia Hills | 2 | 0.0% |
1801 | Kokrajhar | 6 | 0.0% |
1802 | Dhubri | 6 | 0.0% |
1803 | Goalpara | 4 | 0.0% |
1804 | Barpeta | 2 | 0.0% |
1805 | Morigaon | 21 | 0.0% |
1806 | Nagaon | 75 | 0.2% |
1807 | Sonitpur | 24 | 0.1% |
1808 | Lakhimpur | 12 | 0.0% |
1809 | Dhemaji | 16 | 0.0% |
1810 | Tinsukia | 106 | 0.2% |
1811 | Dibrugarh | 86 | 0.2% |
1812 | Sivasagar | 16 | 0.0% |
1813 | Jorhat | 18 | 0.0% |
1814 | Golaghat | 31 | 0.1% |
1815 | Karbi Anglong | 2 | 0.0% |
1816 | Dima Hasao | 0 | 0.0% |
1817 | Cachar | 2 | 0.0% |
1818 | Karimganj | 0 | 0.0% |
1819 | Hailakandi | 0 | 0.0% |
1820 | Bongaigaon | 26 | 0.1% |
1821 | Chirang | 6 | 0.0% |
1822 | Kamrup | 30 | 0.1% |
1823 | Kamrup Metropolitan | 28 | 0.1% |
1824 | Nalbari | 8 | 0.0% |
1825 | Baksa | 2 | 0.0% |
1826 | Darrang | 60 | 0.1% |
1827 | Udalguri | 18 | 0.0% |
1901 | Darjiling | 31 | 0.1% |
1902 | Jalpaiguri | 137 | 0.3% |
1903 | Koch Bihar | 64 | 0.1% |
1904 | Uttar Dinajpur | 136 | 0.3% |
1905 | Dakshin Dinajpur | 44 | 0.1% |
1906 | Maldah | 76 | 0.2% |
1907 | Murshidabad | 550 | 1.2% |
1908 | Birbhum | 85 | 0.2% |
1909 | Barddhaman | 130 | 0.3% |
1910 | Nadia | 245 | 0.5% |
1911 | North Twenty Four Parganas | 232 | 0.5% |
1912 | Hugli | 503 | 1.1% |
1913 | Bankura | 72 | 0.2% |
1914 | Puruliya | 36 | 0.1% |
1915 | Haora | 289 | 0.6% |
1916 | Kolkata | 187 | 0.4% |
1917 | South Twenty Four Parganas | 319 | 0.7% |
1918 | Paschim Medinipur | 89 | 0.2% |
1919 | Purba Medinipur | 142 | 0.3% |
2001 | Garhwa | 74 | 0.2% |
2002 | Chatra | 76 | 0.2% |
2003 | Kodarma | 77 | 0.2% |
2004 | Giridih | 154 | 0.3% |
2005 | Deoghar | 56 | 0.1% |
2006 | Godda | 10 | 0.0% |
2007 | Sahibganj | 27 | 0.1% |
2008 | Pakur | 44 | 0.1% |
2009 | Dhanbad | 258 | 0.6% |
2010 | Bokaro | 91 | 0.2% |
2011 | Lohardaga | 34 | 0.1% |
2012 | Purbi Singhbhum | 31 | 0.1% |
2013 | Palamu | 37 | 0.1% |
2014 | Latehar | 23 | 0.1% |
2015 | Hazaribagh | 155 | 0.3% |
2016 | Ramgarh | 107 | 0.2% |
2017 | Dumka | 54 | 0.1% |
2018 | Jamtara | 21 | 0.0% |
2019 | Ranchi | 153 | 0.3% |
2020 | Khunti | 49 | 0.1% |
2021 | Gumla | 17 | 0.0% |
2022 | Simdega | 21 | 0.0% |
2023 | Pashchimi Singhbhum | 0 | 0.0% |
2024 | Saraikela-Kharsawan | 22 | 0.0% |
2101 | Bargarh | 48 | 0.1% |
2102 | Jharsuguda | 36 | 0.1% |
2103 | Sambalpur | 63 | 0.1% |
2104 | Debagarh | 9 | 0.0% |
2105 | Sundargarh | 72 | 0.2% |
2106 | Kendujhar | 81 | 0.2% |
2107 | Mayurbhanj | 66 | 0.1% |
2108 | Baleshwar | 131 | 0.3% |
2109 | Bhadrak | 122 | 0.3% |
2110 | Kendrapara | 144 | 0.3% |
2111 | Jagatsinghapur | 71 | 0.2% |
2112 | Cuttack | 109 | 0.2% |
2113 | Jajapur | 87 | 0.2% |
2114 | Dhenkanal | 44 | 0.1% |
2115 | Anugul | 83 | 0.2% |
2116 | Nayagarh | 8 | 0.0% |
2117 | Khordha | 168 | 0.4% |
2118 | Puri | 76 | 0.2% |
2119 | Ganjam | 142 | 0.3% |
2120 | Gajapati | 30 | 0.1% |
2121 | Kandhamal | 22 | 0.0% |
2122 | Baudh | 10 | 0.0% |
2123 | Subarnapur | 16 | 0.0% |
2124 | Balangir | 38 | 0.1% |
2125 | Nuapada | 35 | 0.1% |
2126 | Kalahandi | 32 | 0.1% |
2127 | Rayagada | 36 | 0.1% |
2128 | Nabarangapur | 4 | 0.0% |
2129 | Koraput | 96 | 0.2% |
2130 | Malkangiri | 57 | 0.1% |
2201 | Koriya | 8 | 0.0% |
2202 | Surguja | 12 | 0.0% |
2203 | Jashpur | 9 | 0.0% |
2204 | Raigarh | 12 | 0.0% |
2205 | Korba | 26 | 0.1% |
2206 | Janjgir-Champa | 32 | 0.1% |
2207 | Bilaspur | 72 | 0.2% |
2208 | Kabeerdham | 4 | 0.0% |
2209 | Rajnandgaon | 48 | 0.1% |
2210 | Durg | 33 | 0.1% |
2211 | Raipur | 35 | 0.1% |
2212 | Mahasamund | 18 | 0.0% |
2213 | Dhamtari | 6 | 0.0% |
2214 | Uttar Bastar Kanker | 10 | 0.0% |
2215 | Bastar | 16 | 0.0% |
2216 | Narayanpur | 8 | 0.0% |
2217 | Dakshin Bastar Dantewada | 14 | 0.0% |
2218 | Bijapur | 0 | 0.0% |
2219 | Balodabazar | 32 | 0.1% |
2220 | Gariyaband | 2 | 0.0% |
2221 | Kondagaon | 16 | 0.0% |
2222 | Sukama | 15 | 0.0% |
2223 | Bemetara | 0 | 0.0% |
2224 | Balod | 26 | 0.1% |
2225 | Mungeli | 18 | 0.0% |
2226 | Surajpur | 18 | 0.0% |
2227 | Balrampur | 18 | 0.0% |
2301 | Sheopur | 8 | 0.0% |
2302 | Morena | 12 | 0.0% |
2303 | Bhind | 12 | 0.0% |
2304 | Gwalior | 8 | 0.0% |
2305 | Datia | 0 | 0.0% |
2306 | Shivpuri | 4 | 0.0% |
2307 | Tikamgarh | 0 | 0.0% |
2308 | Chhatarpur | 10 | 0.0% |
2309 | Panna | 2 | 0.0% |
2310 | Sagar | 90 | 0.2% |
2311 | Damoh | 4 | 0.0% |
2312 | Satna | 31 | 0.1% |
2313 | Rewa | 21 | 0.0% |
2314 | Umaria | 0 | 0.0% |
2315 | Neemuch | 16 | 0.0% |
2316 | Mandsaur | 18 | 0.0% |
2317 | Ratlam | 19 | 0.0% |
2318 | Ujjain | 34 | 0.1% |
2319 | Shajapur | 8 | 0.0% |
2320 | Dewas | 25 | 0.1% |
2321 | Dhar | 46 | 0.1% |
2322 | Indore | 21 | 0.0% |
2323 | Khargone (West Nimar) | 4 | 0.0% |
2324 | Barwani | 0 | 0.0% |
2325 | Rajgarh | 16 | 0.0% |
2326 | Vidisha | 25 | 0.1% |
2327 | Bhopal | 75 | 0.2% |
2328 | Sehore | 42 | 0.1% |
2329 | Raisen | 6 | 0.0% |
2330 | Betul | 4 | 0.0% |
2331 | Harda | 2 | 0.0% |
2332 | Hoshangabad | 16 | 0.0% |
2333 | Katni | 26 | 0.1% |
2334 | Jabalpur | 44 | 0.1% |
2335 | Narsimhapur | 0 | 0.0% |
2336 | Dindori | 24 | 0.1% |
2337 | Mandla | 12 | 0.0% |
2338 | Chhindwara | 8 | 0.0% |
2339 | Seoni | 4 | 0.0% |
2340 | Balaghat | 6 | 0.0% |
2341 | Guna | 0 | 0.0% |
2342 | Ashoknagar | 0 | 0.0% |
2343 | Shahdol | 10 | 0.0% |
2344 | Anuppur | 2 | 0.0% |
2345 | Sidhi | 0 | 0.0% |
2346 | Singrauli | 0 | 0.0% |
2347 | Jhabua | 15 | 0.0% |
2348 | Alirajpur | 4 | 0.0% |
2349 | Khandwa (East Nimar) | 16 | 0.0% |
2350 | Burhanpur | 0 | 0.0% |
2401 | Kachchh | 33 | 0.1% |
2402 | Banas Kantha | 16 | 0.0% |
2403 | Patan | 6 | 0.0% |
2404 | Mahesana | 20 | 0.0% |
2405 | Sabar Kantha | 37 | 0.1% |
2406 | Gandhinagar | 48 | 0.1% |
2407 | Ahmadabad | 137 | 0.3% |
2408 | Surendranagar | 10 | 0.0% |
2409 | Rajkot | 30 | 0.1% |
2410 | Jamnagar | 46 | 0.1% |
2411 | Porbandar | 0 | 0.0% |
2412 | Junagadh | 8 | 0.0% |
2413 | Amreli | 40 | 0.1% |
2414 | Bhavnagar | 102 | 0.2% |
2415 | Anand | 46 | 0.1% |
2416 | Kheda | 48 | 0.1% |
2417 | Panch Mahals | 65 | 0.1% |
2418 | Dohad | 24 | 0.1% |
2419 | Vadodara | 106 | 0.2% |
2420 | Narmada | 16 | 0.0% |
2421 | Bharuch | 22 | 0.0% |
2422 | The Dangs | 44 | 0.1% |
2423 | Navsari | 18 | 0.0% |
2424 | Valsad | 26 | 0.1% |
2425 | Surat | 215 | 0.5% |
2426 | Tapi | 22 | 0.0% |
2501 | Diu | 0 | 0.0% |
2502 | Daman | 32 | 0.1% |
2601 | Dadra & Nagar Haveli | 24 | 0.1% |
2701 | Nandurbar | 28 | 0.1% |
2702 | Dhule | 82 | 0.2% |
2703 | Jalgaon | 83 | 0.2% |
2704 | Buldana | 25 | 0.1% |
2705 | Akola | 20 | 0.0% |
2706 | Washim | 30 | 0.1% |
2707 | Amravati | 12 | 0.0% |
2708 | Wardha | 4 | 0.0% |
2709 | Nagpur | 135 | 0.3% |
2710 | Bhandara | 18 | 0.0% |
2711 | Gondiya | 31 | 0.1% |
2712 | Gadchiroli | 52 | 0.1% |
2713 | Chandrapur | 55 | 0.1% |
2714 | Yavatmal | 6 | 0.0% |
2715 | Nanded | 54 | 0.1% |
2716 | Hingoli | 17 | 0.0% |
2717 | Parbhani | 12 | 0.0% |
2718 | Jalna | 85 | 0.2% |
2719 | Aurangabad | 79 | 0.2% |
2720 | Nashik | 123 | 0.3% |
2721 | Thane | 329 | 0.7% |
2722 | Mumbai Suburban | 208 | 0.5% |
2723 | Mumbai | 0 | 0.0% |
2724 | Raigarh | 50 | 0.1% |
2725 | Pune | 285 | 0.6% |
2726 | Ahmadnagar | 98 | 0.2% |
2727 | Bid | 38 | 0.1% |
2728 | Latur | 6 | 0.0% |
2729 | Osmanabad | 217 | 0.5% |
2730 | Solapur | 332 | 0.7% |
2731 | Satara | 50 | 0.1% |
2732 | Ratnagiri | 25 | 0.1% |
2733 | Sindhudurg | 116 | 0.3% |
2734 | Kolhapur | 271 | 0.6% |
2735 | Sangli | 180 | 0.4% |
2801 | Srikakulam | 222 | 0.5% |
2802 | Vizianagaram | 146 | 0.3% |
2803 | Visakhapatnam | 330 | 0.7% |
2804 | East Godavari | 342 | 0.8% |
2805 | West Godavari | 147 | 0.3% |
2806 | Krishna | 382 | 0.8% |
2807 | Guntur | 391 | 0.9% |
2808 | Prakasam | 387 | 0.9% |
2809 | Sri Potti Sriramulu Nellore | 345 | 0.8% |
2810 | Y.S.R. (Cuddapah) | 138 | 0.3% |
2811 | Kurnool | 325 | 0.7% |
2812 | Anantapur | 571 | 1.3% |
2813 | Chittoor | 546 | 1.2% |
2901 | Belgaum | 123 | 0.3% |
2902 | Bagalkot | 57 | 0.1% |
2903 | Bijapur | 83 | 0.2% |
2904 | Bidar | 86 | 0.2% |
2905 | Raichur | 133 | 0.3% |
2906 | Koppal | 121 | 0.3% |
2907 | Gadag | 34 | 0.1% |
2908 | Dharwad | 33 | 0.1% |
2909 | Uttara Kannada | 71 | 0.2% |
2910 | Haveri | 38 | 0.1% |
2911 | Bellary | 190 | 0.4% |
2912 | Chitradurga | 208 | 0.5% |
2913 | Davanagere | 61 | 0.1% |
2914 | Shimoga | 162 | 0.4% |
2915 | Udupi | 148 | 0.3% |
2916 | Chikmagalur | 63 | 0.1% |
2917 | Tumkur | 184 | 0.4% |
2918 | Bangalore | 431 | 1.0% |
2919 | Mandya | 107 | 0.2% |
2920 | Hassan | 69 | 0.2% |
2921 | Dakshina Kannada | 238 | 0.5% |
2922 | Kodagu | 151 | 0.3% |
2923 | Mysore | 159 | 0.4% |
2924 | Chamarajanagar | 66 | 0.1% |
2925 | Gulbarga | 68 | 0.2% |
2926 | Yadgir | 46 | 0.1% |
2927 | Kolar | 133 | 0.3% |
2928 | Chikkaballapura | 51 | 0.1% |
2929 | Bangalore (Rural) | 66 | 0.1% |
2930 | Ramanagara | 46 | 0.1% |
3001 | North Goa | 32 | 0.1% |
3002 | South Goa | 22 | 0.0% |
3101 | Lakshadweep | 32 | 0.1% |
3201 | Kasaragod | 113 | 0.3% |
3202 | Kannur | 145 | 0.3% |
3203 | Wayanad | 136 | 0.3% |
3204 | Kozhikode | 285 | 0.6% |
3205 | Malappuram | 328 | 0.7% |
3206 | Palakkad | 341 | 0.8% |
3207 | Thrissur | 345 | 0.8% |
3208 | Ernakulam | 465 | 1.0% |
3209 | Idukki | 382 | 0.8% |
3210 | Kottayam | 432 | 1.0% |
3211 | Alappuzha | 346 | 0.8% |
3212 | Pathanamthitta | 278 | 0.6% |
3213 | Kollam | 274 | 0.6% |
3214 | Thiruvananthapuram | 666 | 1.5% |
3301 | Thiruvallur | 219 | 0.5% |
3302 | Chennai | 280 | 0.6% |
3303 | Kancheepuram | 254 | 0.6% |
3304 | Vellore | 487 | 1.1% |
3305 | Tiruvannamalai | 246 | 0.5% |
3306 | Viluppuram | 183 | 0.4% |
3307 | Salem | 395 | 0.9% |
3308 | Namakkal | 226 | 0.5% |
3309 | Erode | 169 | 0.4% |
3310 | The Nilgiris | 43 | 0.1% |
3311 | Dindigul | 142 | 0.3% |
3312 | Karur | 99 | 0.2% |
3313 | Tiruchirappalli | 156 | 0.3% |
3314 | Perambalur | 37 | 0.1% |
3315 | Ariyalur | 85 | 0.2% |
3316 | Cuddalore | 125 | 0.3% |
3317 | Nagapattinam | 69 | 0.2% |
3318 | Thiruvarur | 84 | 0.2% |
3319 | Thanjavur | 96 | 0.2% |
3320 | Pudukkottai | 167 | 0.4% |
3321 | Sivaganga | 258 | 0.6% |
3322 | Madurai | 185 | 0.4% |
3323 | Theni | 93 | 0.2% |
3324 | Virudhunagar | 255 | 0.6% |
3325 | Ramanathapuram | 180 | 0.4% |
3326 | Thoothukkudi | 88 | 0.2% |
3327 | Tirunelveli | 270 | 0.6% |
3328 | Kanniyakumari | 191 | 0.4% |
3329 | Dharmapuri | 189 | 0.4% |
3330 | Krishnagiri | 157 | 0.3% |
3331 | Coimbatore | 480 | 1.1% |
3332 | Tiruppur | 151 | 0.3% |
3401 | Yanam | 37 | 0.1% |
3402 | Puducherry | 351 | 0.8% |
3403 | Mahe | 27 | 0.1% |
3404 | Karaikal | 262 | 0.6% |
3501 | Nicobars | 2 | 0.0% |
3502 | North & Middle Andaman | 82 | 0.2% |
3503 | South Andaman | 215 | 0.5% |
3601 | Adilabad | 254 | 0.6% |
3602 | Nizamabad | 227 | 0.5% |
3603 | Karimnagar | 93 | 0.2% |
3604 | Medak | 78 | 0.2% |
3605 | Hyderabad | 475 | 1.1% |
3606 | Rangareddy | 149 | 0.3% |
3607 | Mahbubnagar | 136 | 0.3% |
3608 | Nalgonda | 268 | 0.6% |
3609 | Warangal | 88 | 0.2% |
3610 | Khammam | 18 | 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.