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    Home / Central Data Catalog / DDI-IND-MOSPI-NSSO-46RND-SCH1.0-1990 / variable [F8]
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Household Consumer Expenditure, July 1990 - Jun1991
NSS 46th Round

India
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Reference ID
DDI-IND-MOSPI-NSSO-46Rnd-Sch1.0-1990
Producer(s)
National Sample Survey Office
Collections
Household Consumption Expenditure
Metadata
DDI/XML JSON
Created on
Jan 16, 2018
Last modified
Mar 27, 2019
Page views
135282
Downloads
4109
  • Study Description
  • Data Dictionary
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  • Data files
  • Blocks
    1,3,10_Household
    Characteristics
  • Block 4_Person
    records
  • 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
  • Block 5_Monthly
    household
    expenditure on
    food and
    non-food items

State (State)

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

Overview

Valid: 1499361
Invalid: 0
Type: Discrete
Start: 28
End: 29
Width: 2
Range: -
Format: character

Questions and instructions

Literal question
State
Categories
Value Category Cases
02 Andhra Pradesh 110075
7.3%
03 Assam 54479
3.6%
04 Bihar 103149
6.9%
05 Gujarat 63606
4.2%
06 Haryana 22340
1.5%
07 Himachal Pradesh 28962
1.9%
08 Jammu & Kashmir 15146
1%
09 Karnataka 71615
4.8%
10 Kerala 56598
3.8%
11 Madhya Pradesh 113327
7.6%
12 Maharashtra 148568
9.9%
13 Manipur 18914
1.3%
14 Meghalaya 20337
1.4%
15 Nagaland 8999
0.6%
16 Orissa 51728
3.5%
17 Punjab 55099
3.7%
18 Rajasthan 59108
3.9%
19 Sikkim 9831
0.7%
20 Tamil Nadu 108142
7.2%
21 Tripura 27477
1.8%
22 Uttar Pradesh 171479
11.4%
23 West Bengal 101204
6.7%
24 A & N Islands 13724
0.9%
25 Arunachal Pradesh 10271
0.7%
26 Chandigarh 2367
0.2%
27 Dadra & Nagar Haveli 3753
0.3%
28 Delhi 16606
1.1%
29 Goa 2773
0.2%
30 Lakshdweep 3429
0.2%
31 Mizoram 19890
1.3%
32 Pondicherry 4293
0.3%
33 Daman & Diu 2072
0.1%
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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