India - Household Consumer Expenditure, Jan - Dec 1997, NSS 53rd Round
Reference ID | DDI-IND-MOSPI-NSSO-53Rnd-Sch1.0-1997 |
Year | 1997 |
Country | India |
Producer(s) | National Sample Survey Office - M/o Statistics and Programme Implementation(MOSPI),Government of India (GOI) |
Sponsor(s) | M/o Statistics & Programme Implementation, GOI - MOSPI - |
Collection(s) |
Created on
Jan 17, 2018
Last modified
Mar 27, 2019
Page views
166099
- Blocks 1,3_Household
Characteristics - Block 4_Person recor
ds - Block 5_Monthly hous
ehold expenditure on
food and non-food i
tems - Block 5pt1_Monthly h
ousehold expenditure
on fuel and light - Block 6_Monthly hous
ehold expenditure on
clothing - Block 7_Monthly hous
ehold expenditure on
footwear - Block 8_Monthly hous
ehold expenditure on
miscellaneous goods
and services - Block 8pt1_Monthly h
ousehold expenditure
on education and me
dical (institutional
) goods and services - Block 8pt2_Monthly h
ousehold expenditure
on medical (non-ins
titutional) goods an
d services - Block 9_Monthly hous
ehold expenditure on
durables - Block 10_Perception
of households regard
ing sufficiency of f
ood - Block 11pt1_Weekly h
ousehold expenditure
on ceremonies - Block 11pt2_Annual h
ousehold expenditure
on ceremonies
Variable Groups
Month when not enough food
(B10_q2_6)
File: Block 10_Perception of households regarding sufficiency of food
File: Block 10_Perception of households regarding sufficiency of food
Overview
Type:
Discrete Format: character Width: 2 | Valid cases: 164 Invalid: 0 |
Questions and instructions
Which month or months the household did not enough food?
Value | Category | Cases | |
---|---|---|---|
01 | Jan | 0 | 0.0% |
02 | Feb | 0 | 0.0% |
03 | Mar | 0 | 0.0% |
04 | Apr | 0 | 0.0% |
05 | May | 18 | 11.0% |
06 | June | 115 | 70.1% |
07 | July | 7 | 4.3% |
08 | Aug | 4 | 2.4% |
09 | Sep | 2 | 1.2% |
10 | Oct | 5 | 3.0% |
11 | Nov | 2 | 1.2% |
12 | Dec | 5 | 3.0% |
99 | Invalid | 6 | 3.7% |
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.