India - Household Social Consumption: Health, NSS 75th Round Schedule-25.0 :July 2017-June 2018
Reference ID | DDI-IND-MOSPI-NSSO-75Rnd-Sch25.0-July2017-June2018 |
Year | 2017 - 2018 |
Country | India |
Producer(s) | National Sample Survey Office,NSSO - Ministry of Statistics & Programme Implementation, Govenment of India |
Sponsor(s) | Ministry of Statistics & Programme Implementation, Govenment of India - MOSPI - |
Collection(s) |
Created on
May 09, 2022
Last modified
May 09, 2022
Page views
154019
- Identification of Sa
mple Households Bloc
k 0 and Block 1 - Le
vel 1; 75 Health; R7
5250L01 - Household Characteri
stics Block 3 Level
2; 75 Health; R75250
L02 - Demographic particul
ars of household mem
bers Block 4 Level 3
; 75 Health; R75250L
03 - Particulars of forme
r household members
who died during the
last 365 days; Block
5 Level 4; 75 Healt
h; R75250L04 - Particulars of medic
al treatment receive
d as in-patient of a
medical institution
during the last 365
days; Block 6 Level
5; 75 Health; R7525
0L05 - Expenses incurred du
ring the last 365 da
ys for treatment of
members as in-patien
t of medical institu
tion; Item 1-14 Bloc
k 7 Level 6; 75 Heal
th; R75250L06 - Expenses incurred du
ring the last 365 da
ys for treatment of
members as in-patien
t of medical institu
tion; Item 15-20 Blo
ck 7 Level 7; 75 Hea
lth; R75250L07 - Particulars of spell
s of ailment of hous
ehold members during
the last 15 days (h
ospitalisation and n
onhospitalisation ca
ses); Block 8 Level
8; 75 Health; R75250
L08 - Expenses incurred du
ring the last 15 day
s for treatment of m
embers (not as in-pa
tient of medical ins
titution); Item 1-18
of Block 9 Level 9;
75 Health; R75250L0
9 - Expenses incurred du
ring the last 15 day
s for treatment of m
embers (not as in-pa
tient of medical ins
titution); Item 19-2
3 of Block 9 Level 1
0; 75 Health; R75250
L10 - Particulars of econo
mic independence and
state of health of
persons aged 60 year
s and above; Block 1
0 a Level 11; 75 Hea
lth; R75250L11 - Expenditure on immun
isation, if any, dur
ing the last 365 day
s and status of immu
nisation of children
as on date of surve
y (age 0-5 years); B
lock 10 b Level 12;
75 Health; R75250L12 - Particulars of pre-n
atal and post-natal
care for women of ag
e 15-49 years who we
re pregnant during t
he last 365 days; Bl
ock 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)
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
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
Type:
Discrete Format: character Width: 2 | Valid cases: 93917 Invalid: 0 |
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 | 1.0% |
13 | Nagaland | 800 | 0.9% |
14 | Manipur | 1919 | 2.0% |
15 | Mizoram | 1169 | 1.2% |
16 | Tripura | 1653 | 1.8% |
17 | Meghalaya | 878 | 0.9% |
18 | Assam | 2863 | 3.0% |
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 | 4.0% |
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.