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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) |
Created on
Jan 18, 2018
Last modified
Mar 25, 2019
Page views
557590
- (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
ya 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 refence year
for enterprises prov
iding data from book
s 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)-Block
1-Identification of
sample enterprises - (Semi-Round-2 )-Bloc
k 2- Particulars of
operation and backgr
ound information - (Semi-Round-2)-Block
2pt1-Activities pur
sued by the enterpri
se during last 30 da
ya 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)- Bloc
k 6-Other receipts d
uring 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 parti
culars of the enterp
rise during last 30
days - (Semi-Round-2)-Block
9-Compensation to w
orkers during last 3
0 days. - (Semi-Round-2)-Block
10- Land and fixed
assets owned and hir
ed as on the last da
te of reference year
and monthly rent pa
yable on hired asset
s - (Semi-Round-2)-Block
10pt1-Original valu
e of plant and machi
nery 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 o
f the enterprise dur
ing last 30 days (on
ly for non-financial
enterprises) - (Semi-Round-2)-Block
13-Inventories duri
ng the refence year
for enterprises prov
iding data from book
s of accounts. - (Semi-Round-2)-Block
14-Particulars of u
se of information an
d communication tech
nology(ICT) by the e
nterprise with 10 or
more workers during
last 365 days - (Semi-Round-2)-Block
15-Particulars of f
ield operation
Variable Groups
‘State-District’
(State_District)
File: (Semi-Round-2)-Block 13-Inventories during the refence year for enterprises providing data from books of accounts.
File: (Semi-Round-2)-Block 13-Inventories during the refence year for enterprises providing data from books of accounts.
Overview
Type:
Discrete Format: character Width: 4 | Valid cases: 697 Invalid: 0 |
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0101 | Kupwara | 0 |  0.0%
|
| 0102 | Badgam | 0 | 0.0%
|
| 0103 | Leh (Ladakh) | 0 | 0.0%
|
| 0104 | Kargil | 0 | 0.0%
|
| 0105 | Punch | 0 | 0.0%
|
| 0106 | Rajouri | 0 | 0.0%
|
| 0107 | Kathua | 0 | 0.0%
|
| 0108 | Baramula | 0 | 0.0%
|
| 0109 | Bandipore | 0 | 0.0%
|
| 0110 | Srinagar | 0 | 0.0%
|
| 0111 | Ganderbal | 0 | 0.0%
|
| 0112 | Pulwama | 0 | 0.0%
|
| 0113 | Shupiyan | 0 | 0.0%
|
| 0114 | Anantnag | 0 | 0.0%
|
| 0115 | Kulgam | 0 | 0.0%
|
| 0116 | Doda | 0 | 0.0%
|
| 0117 | Ramban | 0 | 0.0%
|
| 0118 | Kishtwar | 0 | 0.0%
|
| 0119 | Udhampur | 0 | 0.0%
|
| 0120 | Reasi | 0 | 0.0%
|
| 0121 | Jammu | 0 | 0.0%
|
| 0122 | Samba | 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 | 0 | 0.0%
|
| 0208 | Bilaspur | 0 | 0.0%
|
| 0209 | Solan | 3 | 0.4%
|
| 0210 | Sirmaur | 7 | 1.0%
|
| 0211 | Shimla | 0 | 0.0%
|
| 0212 | Kinnaur | 0 | 0.0%
|
| 0301 | Gurdaspur | 0 | 0.0%
|
| 0302 | Kapurthala | 0 | 0.0%
|
| 0303 | Jalandhar | 0 | 0.0%
|
| 0304 | Hoshiarpur | 0 | 0.0%
|
| 0305 | Shahid Bhagat Singh Nagar | 0 | 0.0%
|
| 0306 | Fatehgarh Sahib | 0 | 0.0%
|
| 0307 | Ludhiana | 0 | 0.0%
|
| 0308 | Moga | 0 | 0.0%
|
| 0309 | Firozpur | 0 | 0.0%
|
| 0310 | Muktsar | 0 | 0.0%
|
| 0311 | Faridkot | 0 | 0.0%
|
| 0312 | Bathinda | 0 | 0.0%
|
| 0313 | Mansa | 0 | 0.0%
|
| 0314 | Patiala | 0 | 0.0%
|
| 0315 | Amritsar | 0 | 0.0%
|
| 0316 | Tarn Taran | 0 | 0.0%
|
| 0317 | Rupnagar | 0 | 0.0%
|
| 0318 | Sahibzada Ajit Singh Nagar | 0 | 0.0%
|
| 0319 | Sangrur | 0 | 0.0%
|
| 0320 | Barnala | 0 | 0.0%
|
| 0321 | Pathankot | 0 | 0.0%
|
| 0322 | Fazilka | 0 | 0.0%
|
| 0401 | Chandigarh | 0 | 0.0%
|
| 0501 | Uttarkashi | 0 | 0.0%
|
| 0502 | Chamoli | 0 | 0.0%
|
| 0503 | Rudraprayag | 0 | 0.0%
|
| 0504 | Tehri Garhwal | 0 | 0.0%
|
| 0505 | Dehradun | 0 | 0.0%
|
| 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 | 0 | 0.0%
|
| 0513 | Hardwar | 0 | 0.0%
|
| 0601 | Panchkula | 0 | 0.0%
|
| 0602 | Ambala | 0 | 0.0%
|
| 0603 | Yamunanagar | 3 | 0.4%
|
| 0604 | Kurukshetra | 0 | 0.0%
|
| 0605 | Kaithal | 7 | 1.0%
|
| 0606 | Karnal | 3 | 0.4%
|
| 0607 | Panipat | 10 | 1.4%
|
| 0608 | Sonipat | 3 | 0.4%
|
| 0609 | Jind | 0 | 0.0%
|
| 0610 | Fatehabad | 20 | 2.9%
|
| 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 | Mewat | 0 | 0.0%
|
| 0620 | Faridabad | 7 | 1.0%
|
| 0621 | Palwal | 0 | 0.0%
|
| 0701 | North West | 0 | 0.0%
|
| 0702 | North | 7 | 1.0%
|
| 0703 | North East | 0 | 0.0%
|
| 0704 | East | 0 | 0.0%
|
| 0705 | New Delhi | 0 | 0.0%
|
| 0706 | Central | 6 | 0.9%
|
| 0707 | West | 0 | 0.0%
|
| 0708 | South West | 0 | 0.0%
|
| 0709 | South | 0 | 0.0%
|
| 0710 | 2 | 0.3%
| |
| 0711 | 2 | 0.3%
| |
| 0801 | Ganganagar | 0 | 0.0%
|
| 0802 | Hanumangarh | 0 | 0.0%
|
| 0803 | Bikaner | 0 | 0.0%
|
| 0804 | Churu | 0 | 0.0%
|
| 0805 | Jhunjhunun | 0 | 0.0%
|
| 0806 | Alwar | 7 | 1.0%
|
| 0807 | Bharatpur | 0 | 0.0%
|
| 0808 | Dhaulpur | 0 | 0.0%
|
| 0809 | Karauli | 0 | 0.0%
|
| 0810 | Sawai Madhopur | 0 | 0.0%
|
| 0811 | Dausa | 0 | 0.0%
|
| 0812 | Jaipur | 0 | 0.0%
|
| 0813 | Sikar | 0 | 0.0%
|
| 0814 | Nagaur | 0 | 0.0%
|
| 0815 | Jodhpur | 22 | 3.2%
|
| 0816 | Jaisalmer | 2 | 0.3%
|
| 0817 | Barmer | 0 | 0.0%
|
| 0818 | Jalor | 0 | 0.0%
|
| 0819 | Sirohi | 0 | 0.0%
|
| 0820 | Pali | 11 | 1.6%
|
| 0821 | Ajmer | 0 | 0.0%
|
| 0822 | Tonk | 0 | 0.0%
|
| 0823 | Bundi | 0 | 0.0%
|
| 0824 | Bhilwara | 0 | 0.0%
|
| 0825 | Rajsamand | 0 | 0.0%
|
| 0826 | Dungarpur | 0 | 0.0%
|
| 0827 | Banswara | 0 | 0.0%
|
| 0828 | Chittaurgarh | 0 | 0.0%
|
| 0829 | Kota | 0 | 0.0%
|
| 0830 | Baran | 0 | 0.0%
|
| 0831 | Jhalawar | 0 | 0.0%
|
| 0832 | Udaipur | 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 | 0 | 0.0%
|
| 0905 | Rampur | 0 | 0.0%
|
| 0906 | Jyotiba Phule Nagar | 0 | 0.0%
|
| 0907 | Meerut | 0 | 0.0%
|
| 0908 | Baghpat | 0 | 0.0%
|
| 0909 | Ghaziabad | 0 | 0.0%
|
| 0910 | Gautam Buddha Nagar | 0 | 0.0%
|
| 0911 | Bulandshahr | 0 | 0.0%
|
| 0912 | Aligarh | 0 | 0.0%
|
| 0913 | Mahamaya Nagar | 0 | 0.0%
|
| 0914 | Mathura | 0 | 0.0%
|
| 0915 | Agra | 0 | 0.0%
|
| 0916 | Firozabad | 0 | 0.0%
|
| 0917 | Mainpuri | 0 | 0.0%
|
| 0918 | Budaun | 0 | 0.0%
|
| 0919 | Bareilly | 0 | 0.0%
|
| 0920 | Pilibhit | 0 | 0.0%
|
| 0921 | Shahjahanpur | 0 | 0.0%
|
| 0922 | Kheri | 0 | 0.0%
|
| 0923 | Sitapur | 0 | 0.0%
|
| 0924 | Hardoi | 0 | 0.0%
|
| 0925 | Unnao | 0 | 0.0%
|
| 0926 | Lucknow | 0 | 0.0%
|
| 0927 | Rae Bareli | 0 | 0.0%
|
| 0928 | Farrukhabad | 0 | 0.0%
|
| 0929 | Kannauj | 0 | 0.0%
|
| 0930 | Etawah | 0 | 0.0%
|
| 0931 | Auraiya | 0 | 0.0%
|
| 0932 | Kanpur Dehat | 0 | 0.0%
|
| 0933 | Kanpur Nagar | 0 | 0.0%
|
| 0934 | Jalaun | 0 | 0.0%
|
| 0935 | Jhansi | 0 | 0.0%
|
| 0936 | Lalitpur | 0 | 0.0%
|
| 0937 | Hamirpur | 0 | 0.0%
|
| 0938 | Mahoba | 0 | 0.0%
|
| 0939 | Banda | 0 | 0.0%
|
| 0940 | Chitrakoot | 0 | 0.0%
|
| 0941 | Fatehpur | 0 | 0.0%
|
| 0942 | Pratapgarh | 0 | 0.0%
|
| 0943 | Kaushambi | 0 | 0.0%
|
| 0944 | Allahabad | 0 | 0.0%
|
| 0945 | Bara Banki | 0 | 0.0%
|
| 0946 | Faizabad | 0 | 0.0%
|
| 0947 | Ambedkar Nagar | 0 | 0.0%
|
| 0948 | Sultanpur | 0 | 0.0%
|
| 0949 | Bahraich | 0 | 0.0%
|
| 0950 | Shrawasti | 0 | 0.0%
|
| 0951 | Balrampur | 0 | 0.0%
|
| 0952 | Gonda | 0 | 0.0%
|
| 0953 | Siddharthnagar | 0 | 0.0%
|
| 0954 | Basti | 0 | 0.0%
|
| 0955 | Sant Kabir Nagar | 0 | 0.0%
|
| 0956 | Mahrajganj | 3 | 0.4%
|
| 0957 | Gorakhpur | 0 | 0.0%
|
| 0958 | Kushinagar | 0 | 0.0%
|
| 0959 | Deoria | 0 | 0.0%
|
| 0960 | Azamgarh | 0 | 0.0%
|
| 0961 | Mau | 0 | 0.0%
|
| 0962 | Ballia | 0 | 0.0%
|
| 0963 | Jaunpur | 0 | 0.0%
|
| 0964 | Ghazipur | 0 | 0.0%
|
| 0965 | Chandauli | 0 | 0.0%
|
| 0966 | Varanasi | 0 | 0.0%
|
| 0967 | Sant Ravidas Nagar (Bhadohi) | 0 | 0.0%
|
| 0968 | Mirzapur | 0 | 0.0%
|
| 0969 | Sonbhadra | 0 | 0.0%
|
| 0970 | Etah | 0 | 0.0%
|
| 0971 | Kanshiram Nagar | 0 | 0.0%
|
| 1001 | Pashchim Champaran | 0 | 0.0%
|
| 1002 | Purba Champaran | 0 | 0.0%
|
| 1003 | Sheohar | 0 | 0.0%
|
| 1004 | Sitamarhi | 0 | 0.0%
|
| 1005 | Madhubani | 0 | 0.0%
|
| 1006 | Supaul | 0 | 0.0%
|
| 1007 | Araria | 0 | 0.0%
|
| 1008 | Kishanganj | 0 | 0.0%
|
| 1009 | Purnia | 0 | 0.0%
|
| 1010 | Katihar | 0 | 0.0%
|
| 1011 | Madhepura | 0 | 0.0%
|
| 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 | 0 | 0.0%
|
| 1021 | Khagaria | 0 | 0.0%
|
| 1022 | Bhagalpur | 0 | 0.0%
|
| 1023 | Banka | 0 | 0.0%
|
| 1024 | Munger | 0 | 0.0%
|
| 1025 | Lakhisarai | 0 | 0.0%
|
| 1026 | Sheikhpura | 0 | 0.0%
|
| 1027 | Nalanda | 0 | 0.0%
|
| 1028 | Patna | 8 | 1.1%
|
| 1029 | Bhojpur | 0 | 0.0%
|
| 1030 | Buxar | 0 | 0.0%
|
| 1031 | Kaimur (Bhabua) | 0 | 0.0%
|
| 1032 | Rohtas | 0 | 0.0%
|
| 1033 | Aurangabad | 0 | 0.0%
|
| 1034 | Gaya | 0 | 0.0%
|
| 1035 | Nawada | 0 | 0.0%
|
| 1036 | Jamui | 0 | 0.0%
|
| 1037 | Jehanabad | 0 | 0.0%
|
| 1038 | Arwal | 0 | 0.0%
|
| 1101 | North District | 0 | 0.0%
|
| 1102 | West District | 0 | 0.0%
|
| 1103 | South District | 0 | 0.0%
|
| 1104 | East District | 0 | 0.0%
|
| 1201 | Tawang | 0 | 0.0%
|
| 1202 | West Kameng | 6 | 0.9%
|
| 1203 | East Kameng | 0 | 0.0%
|
| 1204 | Papum Pare | 0 | 0.0%
|
| 1205 | Upper Subansiri | 12 | 1.7%
|
| 1206 | West Siang | 0 | 0.0%
|
| 1207 | East Siang | 0 | 0.0%
|
| 1208 | Upper Siang | 0 | 0.0%
|
| 1209 | Changlang | 0 | 0.0%
|
| 1210 | Tirap | 0 | 0.0%
|
| 1211 | Lower Subansiri | 8 | 1.1%
|
| 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 | 0 | 0.0%
|
| 1302 | Mokokchung | 0 | 0.0%
|
| 1303 | Zunheboto | 0 | 0.0%
|
| 1304 | Wokha | 0 | 0.0%
|
| 1305 | Dimapur | 0 | 0.0%
|
| 1306 | Phek | 0 | 0.0%
|
| 1307 | Tuensang | 0 | 0.0%
|
| 1308 | Longleng | 0 | 0.0%
|
| 1309 | Kiphire | 0 | 0.0%
|
| 1310 | Kohima | 0 | 0.0%
|
| 1311 | Peren | 0 | 0.0%
|
| 1401 | Senapati | 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 | 3 | 0.4%
|
| 1501 | Mamit | 0 | 0.0%
|
| 1502 | Kolasib | 0 | 0.0%
|
| 1503 | Aizawl | 0 | 0.0%
|
| 1504 | Champhai | 0 | 0.0%
|
| 1505 | Serchhip | 0 | 0.0%
|
| 1506 | Lunglei | 0 | 0.0%
|
| 1507 | Lawngtlai | 0 | 0.0%
|
| 1508 | Saiha | 6 | 0.9%
|
| 1601 | West Tripura | 0 | 0.0%
|
| 1602 | South Tripura | 0 | 0.0%
|
| 1603 | Dhalai | 4 | 0.6%
|
| 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 | Ribhoi | 0 | 0.0%
|
| 1706 | East Khasi Hills | 0 | 0.0%
|
| 1707 | Jaintia Hills | 0 | 0.0%
|
| 1801 | Kokrajhar | 0 | 0.0%
|
| 1802 | Dhubri | 0 | 0.0%
|
| 1803 | Goalpara | 0 | 0.0%
|
| 1804 | Barpeta | 0 | 0.0%
|
| 1805 | Morigaon | 0 | 0.0%
|
| 1806 | Nagaon | 0 | 0.0%
|
| 1807 | Sonitpur | 0 | 0.0%
|
| 1808 | Lakhimpur | 0 | 0.0%
|
| 1809 | Dhemaji | 0 | 0.0%
|
| 1810 | Tinsukia | 0 | 0.0%
|
| 1811 | Dibrugarh | 0 | 0.0%
|
| 1812 | Sivasagar | 0 | 0.0%
|
| 1813 | Jorhat | 0 | 0.0%
|
| 1814 | Golaghat | 0 | 0.0%
|
| 1815 | Karbi Anglong | 0 | 0.0%
|
| 1816 | Dima Hasao | 0 | 0.0%
|
| 1817 | Cachar | 0 | 0.0%
|
| 1818 | Karimganj | 0 | 0.0%
|
| 1819 | Hailakandi | 0 | 0.0%
|
| 1820 | Bongaigaon | 0 | 0.0%
|
| 1821 | Chirang | 0 | 0.0%
|
| 1822 | Kamrup | 0 | 0.0%
|
| 1823 | Kamrup Metropolitan | 0 | 0.0%
|
| 1824 | Nalbari | 0 | 0.0%
|
| 1825 | Baksa | 0 | 0.0%
|
| 1826 | Darrang | 0 | 0.0%
|
| 1827 | Udalguri | 0 | 0.0%
|
| 1901 | Darjiling | 0 | 0.0%
|
| 1902 | Jalpaiguri | 0 | 0.0%
|
| 1903 | Koch Bihar | 0 | 0.0%
|
| 1904 | Uttar Dinajpur | 0 | 0.0%
|
| 1905 | Dakshin Dinajpur | 0 | 0.0%
|
| 1906 | Maldah | 0 | 0.0%
|
| 1907 | Murshidabad | 0 | 0.0%
|
| 1908 | Birbhum | 4 | 0.6%
|
| 1909 | Barddhaman | 0 | 0.0%
|
| 1910 | Nadia | 2 | 0.3%
|
| 1911 | North Twenty Four Parganas | 0 | 0.0%
|
| 1912 | Hugli | 72 | 10.3%
|
| 1913 | Bankura | 0 | 0.0%
|
| 1914 | Puruliya | 0 | 0.0%
|
| 1915 | Haora | 0 | 0.0%
|
| 1916 | Kolkata | 8 | 1.1%
|
| 1917 | South Twenty Four Parganas | 0 | 0.0%
|
| 1918 | Paschim Medinipur | 0 | 0.0%
|
| 1919 | Purba Medinipur | 0 | 0.0%
|
| 2001 | Garhwa | 0 | 0.0%
|
| 2002 | Chatra | 0 | 0.0%
|
| 2003 | Kodarma | 0 | 0.0%
|
| 2004 | Giridih | 0 | 0.0%
|
| 2005 | Deoghar | 0 | 0.0%
|
| 2006 | Godda | 0 | 0.0%
|
| 2007 | Sahibganj | 0 | 0.0%
|
| 2008 | Pakur | 0 | 0.0%
|
| 2009 | Dhanbad | 0 | 0.0%
|
| 2010 | Bokaro | 0 | 0.0%
|
| 2011 | Lohardaga | 0 | 0.0%
|
| 2012 | Purbi Singhbhum | 0 | 0.0%
|
| 2013 | Palamu | 0 | 0.0%
|
| 2014 | Latehar | 0 | 0.0%
|
| 2015 | Hazaribagh | 0 | 0.0%
|
| 2016 | Ramgarh | 0 | 0.0%
|
| 2017 | Dumka | 0 | 0.0%
|
| 2018 | Jamtara | 0 | 0.0%
|
| 2019 | Ranchi | 3 | 0.4%
|
| 2020 | Khunti | 0 | 0.0%
|
| 2021 | Gumla | 0 | 0.0%
|
| 2022 | Simdega | 0 | 0.0%
|
| 2023 | Pashchimi Singhbhum | 0 | 0.0%
|
| 2024 | Saraikela-Kharsawan | 0 | 0.0%
|
| 2101 | Bargarh | 0 | 0.0%
|
| 2102 | Jharsuguda | 0 | 0.0%
|
| 2103 | Sambalpur | 3 | 0.4%
|
| 2104 | Debagarh | 0 | 0.0%
|
| 2105 | Sundargarh | 0 | 0.0%
|
| 2106 | Kendujhar | 0 | 0.0%
|
| 2107 | Mayurbhanj | 0 | 0.0%
|
| 2108 | Baleshwar | 0 | 0.0%
|
| 2109 | Bhadrak | 0 | 0.0%
|
| 2110 | Kendrapara | 0 | 0.0%
|
| 2111 | Jagatsinghapur | 0 | 0.0%
|
| 2112 | Cuttack | 0 | 0.0%
|
| 2113 | Jajapur | 0 | 0.0%
|
| 2114 | Dhenkanal | 0 | 0.0%
|
| 2115 | Anugul | 0 | 0.0%
|
| 2116 | Nayagarh | 0 | 0.0%
|
| 2117 | Khordha | 0 | 0.0%
|
| 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 | Subarnapur | 0 | 0.0%
|
| 2124 | Balangir | 0 | 0.0%
|
| 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 | 0 | 0.0%
|
| 2206 | Janjgir-Champa | 0 | 0.0%
|
| 2207 | Bilaspur | 0 | 0.0%
|
| 2208 | Kabeerdham | 0 | 0.0%
|
| 2209 | Rajnandgaon | 0 | 0.0%
|
| 2210 | Durg | 3 | 0.4%
|
| 2211 | Raipur | 0 | 0.0%
|
| 2212 | Mahasamund | 0 | 0.0%
|
| 2213 | Dhamtari | 0 | 0.0%
|
| 2214 | Uttar Bastar Kanker | 0 | 0.0%
|
| 2215 | Bastar | 0 | 0.0%
|
| 2216 | Narayanpur | 0 | 0.0%
|
| 2217 | Dakshin Bastar Dantewada | 0 | 0.0%
|
| 2218 | Bijapur | 0 | 0.0%
|
| 2219 | Balodabazar | 0 | 0.0%
|
| 2220 | Gariyaband | 0 | 0.0%
|
| 2221 | Kondagaon | 0 | 0.0%
|
| 2222 | Sukama | 0 | 0.0%
|
| 2223 | Bemetara | 0 | 0.0%
|
| 2224 | Balod | 0 | 0.0%
|
| 2225 | Mungeli | 0 | 0.0%
|
| 2226 | Surajpur | 0 | 0.0%
|
| 2227 | Balrampur | 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 | 0 | 0.0%
|
| 2307 | Tikamgarh | 0 | 0.0%
|
| 2308 | Chhatarpur | 0 | 0.0%
|
| 2309 | Panna | 3 | 0.4%
|
| 2310 | Sagar | 0 | 0.0%
|
| 2311 | Damoh | 0 | 0.0%
|
| 2312 | Satna | 0 | 0.0%
|
| 2313 | Rewa | 0 | 0.0%
|
| 2314 | Umaria | 0 | 0.0%
|
| 2315 | Neemuch | 0 | 0.0%
|
| 2316 | Mandsaur | 0 | 0.0%
|
| 2317 | Ratlam | 0 | 0.0%
|
| 2318 | Ujjain | 0 | 0.0%
|
| 2319 | Shajapur | 0 | 0.0%
|
| 2320 | Dewas | 0 | 0.0%
|
| 2321 | Dhar | 0 | 0.0%
|
| 2322 | Indore | 0 | 0.0%
|
| 2323 | Khargone (West Nimar) | 0 | 0.0%
|
| 2324 | Barwani | 0 | 0.0%
|
| 2325 | Rajgarh | 0 | 0.0%
|
| 2326 | Vidisha | 0 | 0.0%
|
| 2327 | Bhopal | 0 | 0.0%
|
| 2328 | Sehore | 0 | 0.0%
|
| 2329 | Raisen | 0 | 0.0%
|
| 2330 | Betul | 12 | 1.7%
|
| 2331 | Harda | 0 | 0.0%
|
| 2332 | Hoshangabad | 0 | 0.0%
|
| 2333 | Katni | 0 | 0.0%
|
| 2334 | Jabalpur | 0 | 0.0%
|
| 2335 | Narsimhapur | 0 | 0.0%
|
| 2336 | Dindori | 0 | 0.0%
|
| 2337 | Mandla | 0 | 0.0%
|
| 2338 | Chhindwara | 0 | 0.0%
|
| 2339 | Seoni | 0 | 0.0%
|
| 2340 | Balaghat | 0 | 0.0%
|
| 2341 | Guna | 0 | 0.0%
|
| 2342 | Ashoknagar | 0 | 0.0%
|
| 2343 | Shahdol | 0 | 0.0%
|
| 2344 | Anuppur | 0 | 0.0%
|
| 2345 | Sidhi | 0 | 0.0%
|
| 2346 | Singrauli | 0 | 0.0%
|
| 2347 | Jhabua | 0 | 0.0%
|
| 2348 | Alirajpur | 0 | 0.0%
|
| 2349 | Khandwa (East Nimar) | 0 | 0.0%
|
| 2350 | Burhanpur | 0 | 0.0%
|
| 2401 | Kachchh | 0 | 0.0%
|
| 2402 | Banas Kantha | 0 | 0.0%
|
| 2403 | Patan | 0 | 0.0%
|
| 2404 | Mahesana | 0 | 0.0%
|
| 2405 | Sabar Kantha | 0 | 0.0%
|
| 2406 | Gandhinagar | 0 | 0.0%
|
| 2407 | Ahmadabad | 0 | 0.0%
|
| 2408 | Surendranagar | 0 | 0.0%
|
| 2409 | Rajkot | 0 | 0.0%
|
| 2410 | Jamnagar | 5 | 0.7%
|
| 2411 | Porbandar | 0 | 0.0%
|
| 2412 | Junagadh | 0 | 0.0%
|
| 2413 | Amreli | 0 | 0.0%
|
| 2414 | Bhavnagar | 3 | 0.4%
|
| 2415 | Anand | 0 | 0.0%
|
| 2416 | Kheda | 0 | 0.0%
|
| 2417 | Panch Mahals | 0 | 0.0%
|
| 2418 | Dohad | 0 | 0.0%
|
| 2419 | Vadodara | 9 | 1.3%
|
| 2420 | Narmada | 0 | 0.0%
|
| 2421 | Bharuch | 3 | 0.4%
|
| 2422 | The Dangs | 0 | 0.0%
|
| 2423 | Navsari | 3 | 0.4%
|
| 2424 | Valsad | 0 | 0.0%
|
| 2425 | Surat | 11 | 1.6%
|
| 2426 | Tapi | 0 | 0.0%
|
| 2501 | Diu | 0 | 0.0%
|
| 2502 | Daman | 0 | 0.0%
|
| 2601 | Dadra & Nagar Haveli | 0 | 0.0%
|
| 2701 | Nandurbar | 0 | 0.0%
|
| 2702 | Dhule | 0 | 0.0%
|
| 2703 | Jalgaon | 0 | 0.0%
|
| 2704 | Buldana | 0 | 0.0%
|
| 2705 | Akola | 0 | 0.0%
|
| 2706 | Washim | 0 | 0.0%
|
| 2707 | Amravati | 0 | 0.0%
|
| 2708 | Wardha | 0 | 0.0%
|
| 2709 | Nagpur | 5 | 0.7%
|
| 2710 | Bhandara | 0 | 0.0%
|
| 2711 | Gondiya | 0 | 0.0%
|
| 2712 | Gadchiroli | 0 | 0.0%
|
| 2713 | Chandrapur | 0 | 0.0%
|
| 2714 | Yavatmal | 0 | 0.0%
|
| 2715 | Nanded | 0 | 0.0%
|
| 2716 | Hingoli | 0 | 0.0%
|
| 2717 | Parbhani | 0 | 0.0%
|
| 2718 | Jalna | 0 | 0.0%
|
| 2719 | Aurangabad | 0 | 0.0%
|
| 2720 | Nashik | 0 | 0.0%
|
| 2721 | Thane | 8 | 1.1%
|
| 2722 | Mumbai Suburban | 7 | 1.0%
|
| 2723 | Mumbai | 0 | 0.0%
|
| 2724 | Raigarh | 0 | 0.0%
|
| 2725 | Pune | 7 | 1.0%
|
| 2726 | Ahmadnagar | 0 | 0.0%
|
| 2727 | Bid | 0 | 0.0%
|
| 2728 | Latur | 0 | 0.0%
|
| 2729 | Osmanabad | 0 | 0.0%
|
| 2730 | Solapur | 0 | 0.0%
|
| 2731 | Satara | 0 | 0.0%
|
| 2732 | Ratnagiri | 0 | 0.0%
|
| 2733 | Sindhudurg | 0 | 0.0%
|
| 2734 | Kolhapur | 0 | 0.0%
|
| 2735 | Sangli | 0 | 0.0%
|
| 2801 | Srikakulam | 0 | 0.0%
|
| 2802 | Vizianagaram | 0 | 0.0%
|
| 2803 | Visakhapatnam | 3 | 0.4%
|
| 2804 | East Godavari | 4 | 0.6%
|
| 2805 | West Godavari | 0 | 0.0%
|
| 2806 | Krishna | 0 | 0.0%
|
| 2807 | Guntur | 18 | 2.6%
|
| 2808 | Prakasam | 0 | 0.0%
|
| 2809 | Sri Potti Sriramulu Nellore | 0 | 0.0%
|
| 2810 | Y.S.R. (Cuddapah) | 3 | 0.4%
|
| 2811 | Kurnool | 0 | 0.0%
|
| 2812 | Anantapur | 0 | 0.0%
|
| 2813 | Chittoor | 0 | 0.0%
|
| 2901 | Belgaum | 0 | 0.0%
|
| 2902 | Bagalkot | 0 | 0.0%
|
| 2903 | Bijapur | 0 | 0.0%
|
| 2904 | Bidar | 0 | 0.0%
|
| 2905 | Raichur | 0 | 0.0%
|
| 2906 | Koppal | 0 | 0.0%
|
| 2907 | Gadag | 3 | 0.4%
|
| 2908 | Dharwad | 13 | 1.9%
|
| 2909 | Uttara Kannada | 12 | 1.7%
|
| 2910 | Haveri | 3 | 0.4%
|
| 2911 | Bellary | 0 | 0.0%
|
| 2912 | Chitradurga | 0 | 0.0%
|
| 2913 | Davanagere | 0 | 0.0%
|
| 2914 | Shimoga | 0 | 0.0%
|
| 2915 | Udupi | 44 | 6.3%
|
| 2916 | Chikmagalur | 0 | 0.0%
|
| 2917 | Tumkur | 0 | 0.0%
|
| 2918 | Bangalore | 0 | 0.0%
|
| 2919 | Mandya | 0 | 0.0%
|
| 2920 | Hassan | 8 | 1.1%
|
| 2921 | Dakshina Kannada | 47 | 6.7%
|
| 2922 | Kodagu | 3 | 0.4%
|
| 2923 | Mysore | 0 | 0.0%
|
| 2924 | Chamarajanagar | 0 | 0.0%
|
| 2925 | Gulbarga | 0 | 0.0%
|
| 2926 | Yadgir | 0 | 0.0%
|
| 2927 | Kolar | 0 | 0.0%
|
| 2928 | Chikkaballapura | 0 | 0.0%
|
| 2929 | Bangalore (Rural) | 0 | 0.0%
|
| 2930 | Ramanagara | 0 | 0.0%
|
| 3001 | North Goa | 0 | 0.0%
|
| 3002 | South Goa | 0 | 0.0%
|
| 3101 | Lakshadweep | 0 | 0.0%
|
| 3201 | Kasaragod | 0 | 0.0%
|
| 3202 | Kannur | 22 | 3.2%
|
| 3203 | Wayanad | 0 | 0.0%
|
| 3204 | Kozhikode | 0 | 0.0%
|
| 3205 | Malappuram | 0 | 0.0%
|
| 3206 | Palakkad | 0 | 0.0%
|
| 3207 | Thrissur | 8 | 1.1%
|
| 3208 | Ernakulam | 0 | 0.0%
|
| 3209 | Idukki | 17 | 2.4%
|
| 3210 | Kottayam | 69 | 9.9%
|
| 3211 | Alappuzha | 0 | 0.0%
|
| 3212 | Pathanamthitta | 15 | 2.2%
|
| 3213 | Kollam | 4 | 0.6%
|
| 3214 | Thiruvananthapuram | 6 | 0.9%
|
| 3301 | Thiruvallur | 0 | 0.0%
|
| 3302 | Chennai | 3 | 0.4%
|
| 3303 | Kancheepuram | 0 | 0.0%
|
| 3304 | Vellore | 0 | 0.0%
|
| 3305 | Tiruvannamalai | 0 | 0.0%
|
| 3306 | Viluppuram | 0 | 0.0%
|
| 3307 | Salem | 16 | 2.3%
|
| 3308 | Namakkal | 0 | 0.0%
|
| 3309 | Erode | 0 | 0.0%
|
| 3310 | The Nilgiris | 0 | 0.0%
|
| 3311 | Dindigul | 0 | 0.0%
|
| 3312 | Karur | 0 | 0.0%
|
| 3313 | Tiruchirappalli | 0 | 0.0%
|
| 3314 | Perambalur | 0 | 0.0%
|
| 3315 | Ariyalur | 0 | 0.0%
|
| 3316 | Cuddalore | 0 | 0.0%
|
| 3317 | Nagapattinam | 12 | 1.7%
|
| 3318 | Thiruvarur | 7 | 1.0%
|
| 3319 | Thanjavur | 2 | 0.3%
|
| 3320 | Pudukkottai | 0 | 0.0%
|
| 3321 | Sivaganga | 0 | 0.0%
|
| 3322 | Madurai | 0 | 0.0%
|
| 3323 | Theni | 0 | 0.0%
|
| 3324 | Virudhunagar | 0 | 0.0%
|
| 3325 | Ramanathapuram | 0 | 0.0%
|
| 3326 | Thoothukkudi | 0 | 0.0%
|
| 3327 | Tirunelveli | 0 | 0.0%
|
| 3328 | Kanniyakumari | 0 | 0.0%
|
| 3329 | Dharmapuri | 0 | 0.0%
|
| 3330 | Krishnagiri | 0 | 0.0%
|
| 3331 | Coimbatore | 0 | 0.0%
|
| 3332 | Tiruppur | 0 | 0.0%
|
| 3401 | Yanam | 0 | 0.0%
|
| 3402 | Puducherry | 0 | 0.0%
|
| 3403 | Mahe | 0 | 0.0%
|
| 3404 | Karaikal | 0 | 0.0%
|
| 3501 | Nicobars | 0 | 0.0%
|
| 3502 | North & Middle Andaman | 0 | 0.0%
|
| 3503 | South Andaman | 0 | 0.0%
|
| 3601 | Adilabad | 12 | 1.7%
|
| 3602 | Nizamabad | 0 | 0.0%
|
| 3603 | Karimnagar | 0 | 0.0%
|
| 3604 | Medak | 0 | 0.0%
|
| 3605 | Hyderabad | 0 | 0.0%
|
| 3606 | Rangareddy | 0 | 0.0%
|
| 3607 | Mahbubnagar | 0 | 0.0%
|
| 3608 | Nalgonda | 0 | 0.0%
|
| 3609 | Warangal | 0 | 0.0%
|
| 3610 | Khammam | 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.