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
1107597
- (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-Region’
(State_Region)
File: (Semi-Round-1)-Block 5-Principal receipts during last 30 days
File: (Semi-Round-1)-Block 5-Principal receipts during last 30 days
Overview
Type:
Discrete Format: character Width: 3 | Valid cases: 905151 Invalid: 0 |
Value | Category | Cases | |
---|---|---|---|
011 | 4129 | 0.5% | |
012 | 5495 | 0.6% | |
013 | 10423 | 1.2% | |
014 | 881 | 0.1% | |
021 | 9051 | 1.0% | |
022 | 7809 | 0.9% | |
031 | 10213 | 1.1% | |
032 | 17125 | 1.9% | |
041 | 2485 | 0.3% | |
051 | 17439 | 1.9% | |
061 | 21027 | 2.3% | |
062 | 10213 | 1.1% | |
071 | 24113 | 2.7% | |
081 | 7917 | 0.9% | |
082 | 15682 | 1.7% | |
083 | 4044 | 0.4% | |
084 | 5180 | 0.6% | |
085 | 7332 | 0.8% | |
091 | 17278 | 1.9% | |
092 | 13866 | 1.5% | |
093 | 31935 | 3.5% | |
094 | 3988 | 0.4% | |
095 | 19387 | 2.1% | |
101 | 20400 | 2.3% | |
102 | 20398 | 2.3% | |
111 | 3477 | 0.4% | |
121 | 5089 | 0.6% | |
131 | 9783 | 1.1% | |
141 | 5460 | 0.6% | |
142 | 4321 | 0.5% | |
151 | 7145 | 0.8% | |
161 | 11616 | 1.3% | |
171 | 8479 | 0.9% | |
181 | 7901 | 0.9% | |
182 | 11785 | 1.3% | |
183 | 4659 | 0.5% | |
184 | 6655 | 0.7% | |
191 | 6321 | 0.7% | |
192 | 15450 | 1.7% | |
193 | 20136 | 2.2% | |
194 | 14100 | 1.6% | |
195 | 9073 | 1.0% | |
201 | 8244 | 0.9% | |
202 | 12789 | 1.4% | |
211 | 10709 | 1.2% | |
212 | 9996 | 1.1% | |
213 | 8961 | 1.0% | |
221 | 1971 | 0.2% | |
222 | 12972 | 1.4% | |
223 | 2374 | 0.3% | |
231 | 10059 | 1.1% | |
232 | 9075 | 1.0% | |
233 | 13504 | 1.5% | |
234 | 8923 | 1.0% | |
235 | 5112 | 0.6% | |
236 | 7243 | 0.8% | |
241 | 12477 | 1.4% | |
242 | 9616 | 1.1% | |
243 | 1777 | 0.2% | |
244 | 1500 | 0.2% | |
245 | 7938 | 0.9% | |
251 | 1110 | 0.1% | |
261 | 1543 | 0.2% | |
271 | 18911 | 2.1% | |
272 | 18142 | 2.0% | |
273 | 5350 | 0.6% | |
274 | 7698 | 0.9% | |
275 | 8544 | 0.9% | |
276 | 3247 | 0.4% | |
281 | 13020 | 1.4% | |
282 | 12581 | 1.4% | |
285 | 11805 | 1.3% | |
291 | 6456 | 0.7% | |
292 | 4105 | 0.5% | |
293 | 15364 | 1.7% | |
294 | 14606 | 1.6% | |
301 | 3050 | 0.3% | |
311 | 909 | 0.1% | |
321 | 16315 | 1.8% | |
322 | 26251 | 2.9% | |
331 | 22065 | 2.4% | |
332 | 9477 | 1.0% | |
333 | 16796 | 1.9% | |
334 | 18276 | 2.0% | |
341 | 4414 | 0.5% | |
351 | 3081 | 0.3% | |
361 | 19351 | 2.1% | |
362 | 8184 | 0.9% |
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.