INDIA - Survey on Health Care: NSS 52nd Round, Schedule 25, 1995 - 1996
Reference ID | DDI-IND-MOSPI-NSSO-52-25.0-2011 |
Year | 1995 - 1996 |
Country | INDIA |
Producer(s) | National Sample Survey Office |
Sponsor(s) | Govt. Of India - - Ministry of Statistics & Programme Implementation - - |
Collection(s) | |
Metadata | Documentation in PDF |
Created on
Mar 16, 2016
Last modified
Mar 31, 2016
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639724
- HOUSEHOLD CHARACTERI
STICS(Block 1 &
2) - DEMOGRAPHIC PARTICUL
ARS OF HH MEMBERS(Bl
ock 3) - PARTICULARS OF PREGN
ANT WOMEN(Block 3_1) - PARTICULARS OF DEATH
S(Block 3_2) - USE OF INTOXICANTS(B
lock 3_3) - MEDICAL TREATMENT RE
CEIVED DURING HOSPIT
ALISATION(365 days)(
Block 4) - EXPENSES INCURRED FO
R TREATMENT DURING L
AST 365 DAYS( Block
4_1) - SOURCES OF FINANCE T
O MEET EXPENSES INCU
RRED DURING HOSPITAL
ISATION(365 days)(Bl
ock 4_1) - PARTICULARS OF AILME
NT IN THE LAST 15 DA
YS(Block 5) - EXPENSES INCURRED FO
R TREATMENT DURING L
AST 15 DAYS(Block 5_
1) - SOURCES OF FINANCE T
O MEET THE EXPENSES
INCURRED FOR TREATME
NT IN THE LAST 15 DA
YS( Block 5_1) - PARTICULARS OF IMMUN
ISATIN & HEALTH
CARE FOR CHILDREN(0-
4 yrs)(Block 6) - PARTICULARS OF PRE-N
ATL CARE(Block 7) - PARTICULARS OF MATER
NITY & POST-NATA
L CARE(Block 8) - DETAILS OF ECONOMIC
INDEPENDENCE & C
HRONIC AILMENTS FOR
THE AGED(above 60 yr
s)(Block 9) - PARTICULARS OF RETIR
EMENT FOR THE AGED(B
lock 10) - PARTICULARS OF FAMIL
Y INTEGRATION(Block
11) - WORKSHEET FOR HOUSEH
OLD CONSUMER EXPENDI
TURE(Block 12)
State Region code
(STATE_REGION)
File: PARTICULARS OF DEATHS(Block 3_2)
File: PARTICULARS OF DEATHS(Block 3_2)
Overview
Type:
Discrete Format: character Width: 8 | Valid cases: 3520 Invalid: 0 |
Value | Category | Cases | |
---|---|---|---|
021 | Costal | 80 | 2.3% |
022 | Inland Northern | 47 | 1.3% |
023 | South-Western | 30 | 0.9% |
024 | Inland Southern | 16 | 0.5% |
031 | Arunachal Pradesh | 51 | 1.4% |
041 | Plains Eastern | 73 | 2.1% |
042 | Plains Western | 68 | 1.9% |
043 | Hills | 1 | 0.0% |
051 | Southern | 65 | 1.8% |
052 | Northern | 163 | 4.6% |
053 | Central | 75 | 2.1% |
061 | Goa | 7 | 0.2% |
071 | Eastern | 27 | 0.8% |
072 | Plains Northern | 44 | 1.3% |
073 | Plains Southern | 37 | 1.1% |
074 | Dry areas | 17 | 0.5% |
075 | Saurashtra | 30 | 0.9% |
081 | Eastern | 48 | 1.4% |
082 | Western | 24 | 0.7% |
091 | Himachal Pradesh | 60 | 1.7% |
101 | Mountainous | 35 | 1.0% |
102 | Outer Hills | 12 | 0.3% |
103 | Jhelam Valley | 53 | 1.5% |
111 | Coastal & Ghats | 7 | 0.2% |
112 | Inland Eastern | 7 | 0.2% |
113 | Inland Southern | 52 | 1.5% |
114 | Inland Northern | 86 | 2.4% |
121 | Northern | 42 | 1.2% |
122 | Southern | 55 | 1.6% |
131 | Chattisgarh | 81 | 2.3% |
132 | Vindhya | 41 | 1.2% |
133 | Central | 28 | 0.8% |
134 | Malwa | 40 | 1.1% |
135 | South | 43 | 1.2% |
136 | South Western | 33 | 0.9% |
137 | Northern | 24 | 0.7% |
141 | Coastal | 66 | 1.9% |
142 | Inland Western | 88 | 2.5% |
143 | Inland Northern | 37 | 1.1% |
144 | Inland Central | 61 | 1.7% |
145 | Inland Eastern | 18 | 0.5% |
146 | Bhandara Gadchiroli | 9 | 0.3% |
151 | Plains | 9 | 0.3% |
152 | Hills | 4 | 0.1% |
161 | Meghalaya | 46 | 1.3% |
171 | Mizoram | 26 | 0.7% |
181 | Nagaland | 43 | 1.2% |
191 | Coastal | 51 | 1.4% |
192 | Southern | 22 | 0.6% |
193 | Northern | 52 | 1.5% |
201 | Northern | 43 | 1.2% |
202 | Southern | 30 | 0.9% |
211 | Western | 41 | 1.2% |
212 | North-Eastern | 57 | 1.6% |
213 | Southern | 15 | 0.4% |
214 | South-Eastern | 13 | 0.4% |
221 | Sikkim | 11 | 0.3% |
231 | Coastal Northern | 64 | 1.8% |
232 | Coastal | 40 | 1.1% |
233 | Southern | 28 | 0.8% |
234 | Inland | 51 | 1.4% |
241 | Tripura | 40 | 1.1% |
251 | Himalayan | 34 | 1.0% |
252 | Western | 244 | 6.9% |
253 | Central | 141 | 4.0% |
254 | Eastern | 214 | 6.1% |
255 | Southern | 19 | 0.5% |
261 | Himalayan | 10 | 0.3% |
262 | Eastern Plains | 51 | 1.4% |
263 | Central Plains | 144 | 4.1% |
264 | West Plains | 45 | 1.3% |
271 | Andaman & Nicobar Islands | 16 | 0.5% |
281 | Chandigar | 3 | 0.1% |
291 | Dadra & Nagar Haveli | 5 | 0.1% |
301 | Daman & Diu | 1 | 0.0% |
311 | Delhi | 22 | 0.6% |
321 | Lakshadweep | 4 | 0.1% |
331 | Pondicherry | 0 | 0.0% |
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.