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    Home / Central Data Catalog / DDI-IND-MOSPI-NSSO-48RND-SCH1.0-1992 / variable [V171]
central

Household Consumer Expenditure, Jan - Dec 1992
NSS 48th Round

India
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Reference ID
DDI-IND-MOSPI-NSSO-48Rnd-Sch1.0-1992
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
125461
Downloads
14536
  • Study Description
  • Data Dictionary
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  • Data files
  • Blocks
    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 8_Monthly household expenditure on miscellaneous goods and services

Overview

Valid: 207753
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 15440
7.4%
03 Assam 6499
3.1%
04 Bihar 12796
6.2%
05 Gujarat 8693
4.2%
06 Haryana 3394
1.6%
07 Himachal Pradesh 4484
2.2%
08 Jammu & Kashmir 3318
1.6%
09 Karnataka 9921
4.8%
10 Kerala 8397
4%
11 Madhya Pradesh 14085
6.8%
12 Maharashtra 20334
9.8%
13 Manipur 2658
1.3%
14 Meghalaya 2188
1.1%
15 Nagaland 1531
0.7%
16 Orissa 5953
2.9%
17 Punjab 7326
3.5%
18 Rajasthan 8137
3.9%
19 Sikkim 968
0.5%
20 Tamil Nadu 16221
7.8%
21 Tripura 3537
1.7%
22 Uttar Pradesh 24504
11.8%
23 West Bengal 15414
7.4%
24 A & N Islands 2175
1%
25 Arunachal Pradesh 677
0.3%
26 Chandigarh 739
0.4%
27 Dadra & Nagar Haveli 628
0.3%
28 Delhi 3111
1.5%
29 Goa 862
0.4%
30 Lakshdweep 331
0.2%
31 Mizoram 2080
1%
32 Pondicherry 883
0.4%
33 Daman & Diu 469
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.

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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