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    Home / Central Data Catalog / IND-NSSO-59RND-SCH33-SAF-2003 / variable [F10]
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Situation Assessment Survey of Farmers, 2003
NSS 59th Round

India, 2003
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Reference ID
IND-NSSO-59Rnd-Sch33-SAF-2003
Producer(s)
NSSO
Collections
Other Surveys
Metadata
DDI/XML JSON
Created on
Jan 18, 2018
Last modified
Mar 27, 2019
Page views
331779
Downloads
7035
  • Study Description
  • Data Dictionary
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  • Data files
  • bk_1_2
    (LEVEL-01)
  • bk_3 (LEVEL-02)
  • bk_4 (LEVEL-03)
  • bk_5_6
    (LEVEL-04)
  • bk_7 LEVELN05
  • bk_8 (LEVEL-06)
  • bk_9
    (LEVEL-07)
  • bk_10
    (LEVEL-08)
  • bk_11
    (LEVEL-09)
  • bk_12
    (LEVEL-10)
  • bk_13
    (LEVEL-11)
  • bk_14_c1_11
    (LEVEL-12)
  • bk_14_c12_20
    (LEVEL-13)
  • bk_15
    (LEVEL-14)
  • bk_16
    (LEVEL-15)
  • bk_17
    (LEVEL-16)
  • bk_18
    (LEVEL-17)
  • bk_19_20_21
    (LEVEL-18)
  • bk_22
    (LEVEL-19)

State (State_cd)

Data file: bk_12 (LEVEL-10)

Overview

Valid: 818472
Invalid: 0
Type: Discrete
Start: 59
End: 60
Width: 2
Range: -
Format: character

Questions and instructions

Literal question
State
Categories
Value Category Cases
01 Jammu & Kashmir 14652
1.8%
02 Himachal Pradesh 18441
2.3%
03 Punjab 20363
2.5%
04 Chandigarh(U.T.) 830
0.1%
05 Uttaranchal 6590
0.8%
06 Haryana 14809
1.8%
07 Delhi 337
0%
08 Rajasthan 41516
5.1%
09 Uttar Pradesh 107219
13.1%
10 Bihar 62733
7.7%
11 Sikkim 8732
1.1%
12 Arunachal Pradesh 5844
0.7%
13 Nagaland 6111
0.7%
14 Manipur 13975
1.7%
15 Mizoram 7491
0.9%
16 Tripura 15946
1.9%
17 Meghalaya 11580
1.4%
18 Assam 34694
4.2%
19 West Bengal 62200
7.6%
20 Jharkhand 22109
2.7%
21 Orissa 30942
3.8%
22 Chattisgarh 17391
2.1%
23 Madhya Pradesh 39134
4.8%
24 Gujarat 21264
2.6%
25 Daman & Diu 878
0.1%
26 Dadra & Nagar Haveli 2047
0.3%
27 Maharashtra 52880
6.5%
28 Andhra Pradesh 54221
6.6%
29 Karnataka 32039
3.9%
30 Goa 1456
0.2%
31 Lakshadweep 1024
0.1%
32 Kerala 35566
4.3%
33 Tamil Nadu 50840
6.2%
34 Pondicherry 1220
0.1%
35 Andaman & N. Island 1398
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.
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