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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
558082
- (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-Region’
(State_Region)
File: (Semi-Round-2)- Block 6-Other receipts during last 30 days
File: (Semi-Round-2)- Block 6-Other receipts during last 30 days
Overview
Type:
Discrete Format: character Width: 3 | Valid cases: 52856 Invalid: 0 |
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 011 | 339 |  0.6%
| |
| 012 | 309 | 0.6%
| |
| 013 | 431 | 0.8%
| |
| 014 | 34 | 0.1%
| |
| 021 | 362 | 0.7%
| |
| 022 | 252 | 0.5%
| |
| 031 | 819 | 1.5%
| |
| 032 | 2061 | 3.9%
| |
| 041 | 104 | 0.2%
| |
| 051 | 1141 | 2.2%
| |
| 061 | 1335 | 2.5%
| |
| 062 | 684 | 1.3%
| |
| 071 | 1534 | 2.9%
| |
| 081 | 531 | 1.0%
| |
| 082 | 705 | 1.3%
| |
| 083 | 163 | 0.3%
| |
| 084 | 170 | 0.3%
| |
| 085 | 421 | 0.8%
| |
| 091 | 1209 | 2.3%
| |
| 092 | 1090 | 2.1%
| |
| 093 | 2552 | 4.8%
| |
| 094 | 246 | 0.5%
| |
| 095 | 1394 | 2.6%
| |
| 101 | 891 | 1.7%
| |
| 102 | 490 | 0.9%
| |
| 111 | 30 | 0.1%
| |
| 121 | 293 | 0.6%
| |
| 131 | 157 | 0.3%
| |
| 141 | 111 | 0.2%
| |
| 142 | 132 | 0.2%
| |
| 151 | 133 | 0.3%
| |
| 161 | 221 | 0.4%
| |
| 171 | 449 | 0.8%
| |
| 181 | 390 | 0.7%
| |
| 182 | 386 | 0.7%
| |
| 183 | 150 | 0.3%
| |
| 184 | 329 | 0.6%
| |
| 191 | 299 | 0.6%
| |
| 192 | 1553 | 2.9%
| |
| 193 | 989 | 1.9%
| |
| 194 | 1580 | 3.0%
| |
| 195 | 646 | 1.2%
| |
| 201 | 309 | 0.6%
| |
| 202 | 835 | 1.6%
| |
| 211 | 685 | 1.3%
| |
| 212 | 609 | 1.2%
| |
| 213 | 678 | 1.3%
| |
| 221 | 177 | 0.3%
| |
| 222 | 1413 | 2.7%
| |
| 223 | 305 | 0.6%
| |
| 231 | 1019 | 1.9%
| |
| 232 | 297 | 0.6%
| |
| 233 | 858 | 1.6%
| |
| 234 | 744 | 1.4%
| |
| 235 | 354 | 0.7%
| |
| 236 | 552 | 1.0%
| |
| 241 | 846 | 1.6%
| |
| 242 | 705 | 1.3%
| |
| 243 | 155 | 0.3%
| |
| 244 | 46 | 0.1%
| |
| 245 | 539 | 1.0%
| |
| 251 | 37 | 0.1%
| |
| 261 | 43 | 0.1%
| |
| 271 | 959 | 1.8%
| |
| 272 | 1092 | 2.1%
| |
| 273 | 547 | 1.0%
| |
| 274 | 794 | 1.5%
| |
| 275 | 819 | 1.5%
| |
| 276 | 197 | 0.4%
| |
| 281 | 651 | 1.2%
| |
| 282 | 440 | 0.8%
| |
| 285 | 388 | 0.7%
| |
| 291 | 260 | 0.5%
| |
| 292 | 102 | 0.2%
| |
| 293 | 518 | 1.0%
| |
| 294 | 636 | 1.2%
| |
| 301 | 147 | 0.3%
| |
| 311 | 16 | 0.0%
| |
| 321 | 875 | 1.7%
| |
| 322 | 1500 | 2.8%
| |
| 331 | 1253 | 2.4%
| |
| 332 | 348 | 0.7%
| |
| 333 | 646 | 1.2%
| |
| 334 | 885 | 1.7%
| |
| 341 | 321 | 0.6%
| |
| 351 | 96 | 0.2%
| |
| 361 | 715 | 1.4%
| |
| 362 | 330 | 0.6%
|
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.