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    Home / Central Data Catalog / DDI-IND-MOSPI-NSSO-49RND-SCH1.0-1993 / variable [V107]
central

Household Consumer Expenditure, Jan - June 1993
NSS 49th Round

India
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Reference ID
DDI-IND-MOSPI-NSSO-49Rnd-Sch1.0-1993
Producer(s)
National Sample Survey Office
Collections
Household Consumption Expenditure
Metadata
DDI/XML JSON
Created on
Jan 17, 2018
Last modified
Mar 27, 2019
Page views
126374
Downloads
7174
  • Study Description
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  • Data files
  • Block 1,3
    ,10_Household
    Characteristics
  • Block 4_Person
    records
  • Block 5_Monthly
    household
    expenditure on
    food and
    non-food items
  • Block 6_Monthly
    household
    expenditure on
    clothing
  • Block 7_Monthly
    household
    expenditure on
    footwear
  • Block 8_Monthly
    household
    expenditure on
    miscellaneous
    goods and
    services
  • Block 9_Monthly
    household
    expenditure on
    durables

State (State)

Data file: Block 5_Monthly household expenditure on food and non-food items

Overview

Valid: 1544269
Invalid: 0
Type: Discrete
Start: 16
End: 17
Width: 2
Range: -
Format: character

Questions and instructions

Literal question
State
Categories
Value Category Cases
02 Andhra Pradesh 114504
7.4%
03 Arunachal Pradesh 16305
1.1%
04 Assam 61131
4%
05 Bihar 95521
6.2%
06 Goa 6056
0.4%
07 Gujarat 67499
4.4%
08 Haryana 22766
1.5%
09 Himachal Pradesh 29283
1.9%
10 Jammu & Kashmir 18616
1.2%
11 Karnataka 78372
5.1%
12 Kerala 58918
3.8%
13 Madhya Pradesh 108897
7.1%
14 Maharashtra 149440
9.7%
15 Manipur 18864
1.2%
16 Meghalaya 21022
1.4%
17 Mizoram 17136
1.1%
18 Nagaland 10630
0.7%
19 Orissa 49698
3.2%
20 Punjab 47588
3.1%
21 Rajasthan 58030
3.8%
22 Sikkim 7141
0.5%
23 Tamil Nadu 112761
7.3%
24 Tripura 27187
1.8%
25 Uttar Pradesh 178221
11.5%
26 West Bengal 112335
7.3%
27 A & N Islands 15956
1%
28 Chandigarh 5360
0.3%
29 Dadra & Nagar Haveli 5103
0.3%
30 Daman & Diu 4765
0.3%
31 Delhi 15621
1%
32 Lakshdweep 3352
0.2%
33 Pondicherry 6191
0.4%
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.

Imputation and derivation

Derivation
This variable has been derived from the variable "State Region" to enable the users to easily access state wise data.
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