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    Home / Central Data Catalog / DDI-IND-MOSPI-NSSO-75RND-SCH25.0-JULY2017-JUNE2018 / variable [V693]
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Household Social Consumption: Health, NSS 75th Round Schedule-25.0 :July 2017-June 2018

India, 2017 - 2018
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Reference ID
DDI-IND-MOSPI-NSSO-75Rnd-Sch25.0-July2017-June2018
Producer(s)
National Sample Survey Office,NSSO
Collections
Other Surveys
Metadata
DDI/XML JSON
Created on
May 09, 2022
Last modified
May 09, 2022
Page views
200059
Downloads
32204
  • Study Description
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  • Data files
  • Identification
    of Sample
    Households
    Block 0 and
    Block 1 - Level
    1; 75 Health;
    R75250L01
  • Household
    Characteristics
    Block 3 Level
    2; 75 Health;
    R75250L02
  • Demographic
    particulars of
    household
    members Block 4
    Level 3; 75
    Health;
    R75250L03
  • Particulars of
    former
    household
    members who
    died during the
    last 365 days;
    Block 5 Level
    4; 75 Health;
    R75250L04
  • Particulars of
    medical
    treatment
    received as
    in-patient of a
    medical
    institution
    during the last
    365 days; Block
    6 Level 5; 75
    Health;
    R75250L05
  • Expenses
    incurred during
    the last 365
    days for
    treatment of
    members as
    in-patient of
    medical
    institution;
    Item 1-14 Block
    7 Level 6; 75
    Health;
    R75250L06
  • Expenses
    incurred during
    the last 365
    days for
    treatment of
    members as
    in-patient of
    medical
    institution;
    Item 15-20
    Block 7 Level
    7; 75 Health;
    R75250L07
  • Particulars of
    spells of
    ailment of
    household
    members during
    the last 15
    days
    (hospitalisation
    and
    nonhospitalisation
    cases); Block 8
    Level 8; 75
    Health;
    R75250L08
  • Expenses
    incurred during
    the last 15
    days for
    treatment of
    members (not as
    in-patient of
    medical
    institution);
    Item 1-18 of
    Block 9 Level
    9; 75 Health;
    R75250L09
  • Expenses
    incurred during
    the last 15
    days for
    treatment of
    members (not as
    in-patient of
    medical
    institution);
    Item 19-23 of
    Block 9 Level
    10; 75 Health;
    R75250L10
  • Particulars of
    economic
    independence
    and state of
    health of
    persons aged 60
    years and
    above; Block 10
    a Level 11; 75
    Health;
    R75250L11
  • Expenditure on
    immunisation,
    if any, during
    the last 365
    days and status
    of immunisation
    of children as
    on date of
    survey (age 0-5
    years); Block
    10 b Level 12;
    75 Health;
    R75250L12
  • Particulars of
    pre-natal and
    post-natal care
    for women of
    age 15-49 years
    who were
    pregnant during
    the last 365
    days; Block 11
    Level 13; 75
    Health;
    R75250L13

if code is 5 in "Place_of_hospitalisation_code", then state code (State_code_if_code_5_in_item_18)

Data file: Expenses incurred during the last 365 days for treatment of members as in-patient of medical institution; Item 15-20 Block 7 Level 7; 75 Health; R75250L07

Overview

Valid: 93917
Invalid: 0
Type: Discrete
Start: 55
End: 56
Width: 2
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
01 Jammu & Kashmir 2493
2.7%
02 Himachal Pradesh 1621
1.7%
03 Punjab 3011
3.2%
04 Chandigarh 484
0.5%
05 Uttarakhand 1224
1.3%
06 Haryana 2465
2.6%
07 Delhi 1437
1.5%
08 Rajasthan 4211
4.5%
09 Uttar Pradesh 8766
9.3%
10 Bihar 3812
4.1%
11 Sikkim 600
0.6%
12 Arunachal Pradesh 899
1%
13 Nagaland 800
0.9%
14 Manipur 1919
2%
15 Mizoram 1169
1.2%
16 Tripura 1653
1.8%
17 Meghalaya 878
0.9%
18 Assam 2863
3%
19 West Bengal 6396
6.8%
20 Jharkhand 2138
2.3%
21 Odisha 3597
3.8%
22 Chhattisgarh 2376
2.5%
23 Madhya Pradesh 4464
4.8%
24 Gujarat 3707
3.9%
25 Daman & Din 74
0.1%
26 Dadra & Nagar Haveli 150
0.2%
27 Maharashtra 7722
8.2%
28 Andhra Pradesh 3747
4%
29 Karnataka 4005
4.3%
30 Goa 361
0.4%
31 Lakshadweep 144
0.2%
32 Kerala 4994
5.3%
33 Tamil Nadu 5760
6.1%
34 Puducherry 533
0.6%
35 A & N Islands 506
0.5%
36 Telangana 2938
3.1%
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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