India - Land and Livestock Holdings Survey: NSS 48th Round, Schedule 18.1, January - December 1992: Visit - 2
Reference ID | DDI-IND-MOSPI-NSSO-48Rnd-Sch18dot1-visit2-1992 |
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 11, 2016
Last modified
Mar 31, 2016
Page views
254181
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characterisics--visi
t2-records - Block-5dot1-Partitio
ned household-visit2
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cords - Block-9dot1-Particul
ars-plots-not-includ
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cords - Block-10-General-inf
ormation-operational
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2-records - Block-14-Particulars
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s-agricultural-year-
visit2-records - Block-15-General-inf
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State
(State)
File: Block-15-General-information-operational-holdings-agricultural-year-visit2-records
File: Block-15-General-information-operational-holdings-agricultural-year-visit2-records
Overview
Type:
Discrete Format: character Width: 2 | Valid cases: 34871 Invalid: 0 |
Value | Category | Cases | |
---|---|---|---|
02 | Andhra Pradesh | 2086 | 6.0% |
03 | Assam | 1445 | 4.1% |
04 | Bihar | 3284 | 9.4% |
05 | Gujarat | 1133 | 3.2% |
06 | Haryana | 522 | 1.5% |
07 | Himachal Pradesh | 870 | 2.5% |
08 | Jammu & Kashmir | 674 | 1.9% |
09 | Karnataka | 1490 | 4.3% |
10 | Kerala | 1824 | 5.2% |
11 | Madhya Pradesh | 2692 | 7.7% |
12 | Maharashtra | 2105 | 6.0% |
13 | Manipur | 640 | 1.8% |
14 | Meghalaya | 498 | 1.4% |
15 | Nagaland | 331 | 0.9% |
16 | Orissa | 1377 | 3.9% |
17 | Punjab | 851 | 2.4% |
18 | Rajasthan | 1534 | 4.4% |
19 | Sikkim | 193 | 0.6% |
20 | Tamil Nadu | 1905 | 5.5% |
21 | Tripura | 581 | 1.7% |
22 | Uttar Pradesh | 4582 | 13.1% |
23 | West Bengal | 2117 | 6.1% |
24 | A & N Islands | 320 | 0.9% |
25 | Arunachal Pradesh | 583 | 1.7% |
26 | Chandigarh | 55 | 0.2% |
27 | Dadra & Nagar Haveli | 104 | 0.3% |
28 | Delhi | 50 | 0.1% |
29 | Goa | 109 | 0.3% |
30 | Lakshdweep | 93 | 0.3% |
31 | Mizoram | 616 | 1.8% |
32 | Pondicherry | 148 | 0.4% |
33 | Daman & Diu | 59 | 0.2% |
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.