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    Home / Central Data Catalog / IND-NSSO-59RND-SCH33-SAF-2003 / variable [F11]
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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
331783
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_13 (LEVEL-11)

Overview

Valid: 673139
Invalid: 0
Type: Discrete
Start: 92
End: 93
Width: 2
Range: -
Format: character

Questions and instructions

Literal question
State
Categories
Value Category Cases
01 Jammu & Kashmir 14888
2.2%
02 Himachal Pradesh 16623
2.5%
03 Punjab 20954
3.1%
04 Chandigarh(U.T.) 694
0.1%
05 Uttaranchal 5932
0.9%
06 Haryana 13570
2%
07 Delhi 277
0%
08 Rajasthan 37880
5.6%
09 Uttar Pradesh 89934
13.4%
10 Bihar 44028
6.5%
11 Sikkim 7918
1.2%
12 Arunachal Pradesh 3171
0.5%
13 Nagaland 4481
0.7%
14 Manipur 10113
1.5%
15 Mizoram 3417
0.5%
16 Tripura 10752
1.6%
17 Meghalaya 11006
1.6%
18 Assam 35198
5.2%
19 West Bengal 48627
7.2%
20 Jharkhand 19075
2.8%
21 Orissa 24696
3.7%
22 Chattisgarh 14105
2.1%
23 Madhya Pradesh 37585
5.6%
24 Gujarat 18708
2.8%
25 Daman & Diu 716
0.1%
26 Dadra & Nagar Haveli 1784
0.3%
27 Maharashtra 44808
6.7%
28 Andhra Pradesh 40702
6%
29 Karnataka 26791
4%
30 Goa 946
0.1%
31 Lakshadweep 661
0.1%
32 Kerala 22969
3.4%
33 Tamil Nadu 37922
5.6%
34 Pondicherry 942
0.1%
35 Andaman & N. Island 1266
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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