India - Survey on Migration and Ownership of Land by Non-Tribals in Trible Areas: NSS 44th Round, Schedule 29.3, July 1988 - June 1989
Reference ID | DDI-IND-MOSPI-NSSO-44Rnd-Sch29dot3-1988-89 |
Year | 0 |
Country | India |
Producer(s) | National Sample Survey Office |
Sponsor(s) | M/o Statistics & Programme Implementation, GOI - MOSPI - |
Collection(s) | |
Metadata | Documentation in PDF |
Created on
Mar 10, 2016
Last modified
Mar 31, 2016
Page views
228918
- Block-1-Identificati
on of sample househo
ld-records - Block-5-Household ch
aracteristics-record
s - Block-6-Demographic
and migration partic
ulars-records - Block-7-activity par
ticulars-records - Block-8-of land owne
d and possessed-reco
rds - Block-9-disposal of
land-records - Block-10-assets owne
d-records - Block-11-loans-recor
ds
state code
(state)
File: Block-8-of land owned and possessed-records
File: Block-8-of land owned and possessed-records
Overview
Type:
Discrete Format: character Width: 2 | Valid cases: 21311 Invalid: 0 |
Value | Category | Cases | |
---|---|---|---|
02 | Andhra Pradesh | 1671 | 7.8% |
03 | Assam | 657 | 3.1% |
04 | Bihar | 2474 | 11.6% |
05 | Gujarat | 608 | 2.9% |
06 | Haryana | 0 | 0.0% |
07 | Himachal Pradesh | 725 | 3.4% |
08 | Jammu & Kashmir | 0 | 0.0% |
09 | Karnataka | 1142 | 5.4% |
10 | Kerala | 483 | 2.3% |
11 | Madhya Pradesh | 3378 | 15.9% |
12 | Maharashtra | 1338 | 6.3% |
13 | Manipur | 4 | 0.0% |
14 | Meghalaya | 70 | 0.3% |
15 | Nagaland | 83 | 0.4% |
16 | Orissa | 1857 | 8.7% |
17 | Punjab | 0 | 0.0% |
18 | Rajasthan | 2300 | 10.8% |
19 | Sikkim | 505 | 2.4% |
20 | Tamil Nadu | 835 | 3.9% |
21 | Tripura | 310 | 1.5% |
22 | Uttar Pradesh | 468 | 2.2% |
23 | West Bengal | 2184 | 10.2% |
24 | A & N Islands | 27 | 0.1% |
25 | Arunachal Pradesh | 28 | 0.1% |
26 | Chandigarh | 0 | 0.0% |
27 | Dadra & Nagar Haveli | 91 | 0.4% |
28 | Delhi | 0 | 0.0% |
29 | Goa | 0 | 0.0% |
30 | Lakshdweep | 43 | 0.2% |
31 | Mizoram | 30 | 0.1% |
32 | Pondicherry | 0 | 0.0% |
33 | Daman & Diu | 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.