India - Household Consumer Expenditure, July 1995 - June 1996, NSS 52nd Round
Reference ID | DDI-IND-MOSPI-NSSO-52Rnd-Sch1.0-1995 |
Year | 1995 - 1996 |
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
157360
- Blocks 1,3_Household
Characteristics - Block 4_Person recor
ds - Block 5_Weekly house
hold expenditure on
food and non-food it
ems - Block 5pt1_Monthly h
ousehold expenditure
on fuel and light - Block 6_Annual house
hold expenditure on
clothing - Block 7_Annual house
hold expenditure on
footwear - Block 8_Monthly hous
ehold expenditure on
miscellaneous goods
and services - Block 8pt1_Annual ho
usehold expenditure
on education and med
ical (institutional)
goods and services - Block 8pt2_Monthly h
ousehold expenditure
on medical (non-ins
titutional) goods an
d services - Block 9_Annual house
hold 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: 119 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 | 1 | 0.8% |
03 | Mar | 0 | 0.0% |
04 | Apr | 2 | 1.7% |
05 | May | 12 | 10.1% |
06 | June | 85 | 71.4% |
07 | July | 3 | 2.5% |
08 | Aug | 1 | 0.8% |
09 | Sep | 4 | 3.4% |
10 | Oct | 5 | 4.2% |
11 | Nov | 1 | 0.8% |
12 | Dec | 2 | 1.7% |
99 | Invalid | 3 | 2.5% |
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.