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    Home / Central Data Catalog / DDI-IND-MOSPI-NSSO-49RND-SCH1.0-1993 / variable [V178]
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
126265
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 8_Monthly household expenditure on miscellaneous goods and services

Overview

Valid: 461523
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 34047
7.4%
03 Arunachal Pradesh 1801
0.4%
04 Assam 15944
3.5%
05 Bihar 27820
6%
06 Goa 1941
0.4%
07 Gujarat 19809
4.3%
08 Haryana 7194
1.6%
09 Himachal Pradesh 10582
2.3%
10 Jammu & Kashmir 5903
1.3%
11 Karnataka 23630
5.1%
12 Kerala 18263
4%
13 Madhya Pradesh 31965
6.9%
14 Maharashtra 43929
9.5%
15 Manipur 5978
1.3%
16 Meghalaya 5256
1.1%
17 Mizoram 4498
1%
18 Nagaland 3340
0.7%
19 Orissa 12857
2.8%
20 Punjab 15435
3.3%
21 Rajasthan 19206
4.2%
22 Sikkim 2205
0.5%
23 Tamil Nadu 35318
7.7%
24 Tripura 7216
1.6%
25 Uttar Pradesh 55163
12%
26 West Bengal 34523
7.5%
27 A & N Islands 4771
1%
28 Chandigarh 1738
0.4%
29 Dadra & Nagar Haveli 1264
0.3%
30 Daman & Diu 1420
0.3%
31 Delhi 5667
1.2%
32 Lakshdweep 832
0.2%
33 Pondicherry 2008
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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