Digg
Google Buzz
LinkedIn
Stumbleupon
Delicious
India - Employment and Unemployment Survey, July 1999 - June 2000, NSS 55th Round
| Reference ID | DDI-IND-MOSPI-NSSO-55Rnd-Sch10-and-10dot1-1999-2000 |
| Year | 1999 - 2000 |
| Country | India |
| Producer(s) | National Sample Survey Office - M/o Statistcs and Programme Implementation(MOSPI),Government of India (GOI) |
| Sponsor(s) | M/o Statistics & Programme Implementation, GOI - MOSPI - |
| Collection(s) |
Created on
Jan 17, 2018
Last modified
Mar 27, 2019
Page views
304279
- Block3-sch10--Househ
old-Characteristics-
records - Block31-sch10-Indebt
edness-rural-labour-
households-Records - Block4-sch10-persons
-demographic-migrati
on-records - Block51-sch10-Person
s-usual-principal-ac
tivity-Records - Block52-sch10-Person
s-subsidiary-activit
y-Records - Block53-sch10-Person
s-daily-activity-tim
e-disposition-Record
s - Block6-sch10-persons
-unemployed-7dayswee
k-Records - Block71-sch10-Person
s-availability-for-w
ork-Records - Block72-sch10-Person
s-change-of-work-Rec
ords - Block8-sch10-Females
-domestic-duties-Rec
ords - Block4-sch10-and-10d
ot1-Records-combined - Block51-sch10-and-10
dot1-Records-combine
d - Block52-sch10-and-10
dot1-Records-combine
d - Block53-sch10-and-10
dot1-Records-combine
d
Last resd state code
(B4_q17)
File: Block4-sch10-and-10dot1-Records-combined
File: Block4-sch10-and-10dot1-Records-combined
Overview
Type:
Discrete Format: character Width: 2 | Valid cases: 214015 Invalid: 0 |
Questions and instructions
Literal question
Refer respective variables in Block-4-Sch10 dataset for details.
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 00 | NR | 861 |  0.4%
|
| 02 | Andhra Pradesh | 14199 | 6.6%
|
| 03 | Arunachal Pradesh | 226 | 0.1%
|
| 04 | Assam | 3241 | 1.5%
|
| 05 | Bihar | 14241 | 6.7%
|
| 06 | Goa | 725 | 0.3%
|
| 07 | Gujarat | 11115 | 5.2%
|
| 08 | Haryana | 4440 | 2.1%
|
| 09 | Himachal Pradesh | 5488 | 2.6%
|
| 10 | Jammu & Kashmir | 2793 | 1.3%
|
| 11 | Karnataka | 10510 | 4.9%
|
| 12 | Kerala | 9687 | 4.5%
|
| 13 | Madhya Pradesh | 15134 | 7.1%
|
| 14 | Maharashtra | 19167 | 9.0%
|
| 15 | Manipur | 156 | 0.1%
|
| 16 | Meghalaya | 121 | 0.1%
|
| 17 | Mizoram | 63 | 0.0%
|
| 18 | Nagaland | 1097 | 0.5%
|
| 19 | Orissa | 7837 | 3.7%
|
| 20 | Punjab | 9018 | 4.2%
|
| 21 | Rajasthan | 12772 | 6.0%
|
| 22 | Sikkim | 1724 | 0.8%
|
| 23 | Tamil Nadu | 14802 | 6.9%
|
| 24 | Tripura | 1068 | 0.5%
|
| 25 | Uttar Pradesh | 34385 | 16.1%
|
| 26 | West Bengal | 13101 | 6.1%
|
| 27 | A & N Islands | 794 | 0.4%
|
| 28 | Chandigarh | 238 | 0.1%
|
| 29 | Dadra & Nagar Haveli | 247 | 0.1%
|
| 30 | Daman & Diu | 232 | 0.1%
|
| 31 | Delhi | 1182 | 0.6%
|
| 32 | Lakshdweep | 359 | 0.2%
|
| 33 | Pondicherry | 490 | 0.2%
|
| 51 | Bangla Desh | 798 | 0.4%
|
| 52 | Nepal | 418 | 0.2%
|
| 53 | Pakistan | 496 | 0.2%
|
| 54 | Sri Lanka | 86 | 0.0%
|
| 55 | Bhutan | 39 | 0.0%
|
| 56 | Gulf countries | 430 | 0.2%
|
| 57 | other Asian Countries | 124 | 0.1%
|
| 58 | USA | 10 | 0.0%
|
| 59 | Canada | 3 | 0.0%
|
| 60 | Other countries of North& | 10 | 0.0%
|
| 61 | UK | 18 | 0.0%
|
| 62 | Other countries of Europe | 19 | 0.0%
|
| 63 | Countries of Africa | 37 | 0.0%
|
| 64 | Rest of the World | 14 | 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.
Interviewer instructions
Refer respective variables in Block-4-Sch10 dataset for details.