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    Home / Central Data Catalog / DDI-IND-MOSPI-NSSO-51RND-SCH1.0-1994 / variable [V44]
central

Household Consumer Expenditure,July 1994 - June 1995
NSS 51st Round

India, 1994 - 1995
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Reference ID
DDI-IND-MOSPI-NSSO-51Rnd-Sch1.0-1994
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
197644
Downloads
10309
  • Study Description
  • Data Dictionary
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  • Data files
  • Blocks
    1,3_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
    11pt1_Weekly
    household
    expenditure on
    ceremonies
  • Block
    11pt2_Annual
    household
    expenditure on
    ceremonies
  • Block 5_Monthly
    household
    expenditure on
    food and
    non-food items
  • Block
    5pt1_Monthly
    household
    expenditure on
    fuel and light
  • Block
    10_Perception
    of households
    regarding
    sufficiency of
    food
  • Block
    8pt1_Monthly
    household
    expenditure on
    education and
    medical goods
    and services

Sector wise household type (HH_Type)

Data file: Blocks 1,3_Household Characteristics

Overview

Valid: 53224
Invalid: 0
Type: Discrete
Start: 65
End: 66
Width: 2
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
10 invalid - rural 33
0.1%
11 self-employed in non-agriculture - rural 6005
11.3%
12 agricultural labour - rural 7363
13.8%
13 other labour - rural 2803
5.3%
14 self-employed in agriculture - rural 12122
22.8%
19 Others - rural 3929
7.4%
20 invalid - urban 66
0.1%
21 self-employed - urban 8009
15%
22 regular wage/salary earning - urban 8366
15.7%
23 casual labour - urban 2680
5%
29 Others - urban 1848
3.5%
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 by concatenating the variables "sector" and "household type" to enable the users to easily access information on "sector wise household type".
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