National Sample Survey 2004 (60th Round) - Schedule 25 - Morbidity and Healthcare
The schedule on morbidity and health care (Schedule 25.0) framed for the 60th round consists of 13 blocks. The different blocks of the schedule are:
Block 0: descriptive identification of sample household
Block 1: identification of sample household
Block 2: particulars of field operation
Block 3: household characteristics
Block 4: demographic particulars of household members
Block 5: particulars of earstwhile household members who died during last 365 days
Block 6: particulars of economic independence and ailments for persons aged 60 years and above
Block 7: particulars of medical treatment received as inpatient of a hospital during last 365 days
Block 8: expenses incurred for treatment of members treated as impatient of hospital during last 365 days and source of finance
Block 9: particulars of spells of ailment of household members during last 15 days (including hospitalisation)
Block 10: expenses incurred during last 15 days for treatment of members (not as an inpatient of hospital) and source of finance
Block 11: particulars of immunisation of children (0 - 4 yrs.), pre-natal and post-natal care for ever married women of age below 50 years during last 365 days
Block 12: remarks by investigator
Block 13: comments by supervisory officer(s)
Kind of Data
Sample survey data [ssd]
- v01: Edited, anonymous dataset for public distribution.
The survey will cover the whole of the Indian Union except (i) Leh (Ladakh) and Kargil districts of Jammu & Kashmir, (ii) interior villages of Nagaland situated beyond five kilometres of the bus route and (iii) villages in Andaman and Nicobar Islands which remain inaccessible throughout the year.
Producers and sponsors
Authoring entity/Primary investigators
National Sample Survey Organisation
Ministry of Statistics and Programme Implementation (MOSPI)
Outline of sample design
A stratified multi-stage design has been adopted for the 60th round survey. The first stage units (FSU) will be the 1991 census villages in the rural sector and Urban Frame Survey (UFS) blocks in the urban sector. The ultimate stage units (USU) will be households in both the sectors. In case of large villages/blocks requiring hamlet-group (hg)/sub-block (sb) formation, one intermediate stage will be the selection of two hgs/sbs from each FSU.
Sampling Frame for First Stage Units
For the rural sector, the list of Census 1991 villages (panchayat wards for Kerala) and Census 1981 villages for J & K will constitute the sampling frame. For the urban sector, the list of latest available Urban Frame Survey (UFS) blocks will be considered as the sampling frame.
Rural sector: Two special strata will be formed at the State/ UT level, viz.
Stratum 1: all FSUs with population between 0 to 50 and
Stratum 2: FSUs with population more than 15,000.
Special stratum 1 will be formed if at least 50 such FSUs are found in a State/UT. Similarly, special stratum 2 will be formed if at least 4 such FSUs are found in a State/UT. Otherwise, such FSUs will be merged with the general strata.
From FSUs other than those covered under special strata 1 and 2, general strata will be formed and its numbering will start from 3. Each district of a State/UT will normally be treated as a separate stratum. However, if the census rural population of the district is greater than or equal to 2.5 million as per population census 2001 or 2 million as per population census 1991, the district will be split into two or more strata, by grouping contiguous tehsils to form strata. However, in Gujarat, some districts are not wholly included in an NSS region. In such cases, the part of the district falling in an NSS region will constitute a separate stratum.
Urban sector: In the urban sector, strata will be formed within each NSS region on the basis of size class of towns as per Population Census 2001. The stratum numbers and their composition (within each region) are given below.
stratum 1 : all towns with population less than 50,000
stratum 2 : all towns with population 50,000 or more but less than 2 lakhs
stratum 3 : all towns with population 2 lakhs or more but less than 10 lakhs
stratum 4, 5, 6,...: each town with population 10 lakhs or more
The stratum numbers will remain as above even if, in some regions, some of the strata are not formed.
Total sample size (FSUs)
7612 FSUs have been allocated at all-India level on the basis of investigator strength in different States/UTs for central sample and 8260 for state sample.
Allocation of total sample to States and UTs
The total number of sample FSUs is allocated to the States and UTs in proportion to provisional population as per Census 2001 subject to the availability of investigators ensuring more or less uniform work-load.
Allocation of State/UT level sample to rural and urban sectors
State/UT level sample is allocated between two sectors in proportion to provisional population as per Census 2001 with 1.5 weightage to urban sector subject to the restriction that urban sample size for bigger states like Maharashtra, Tamil Nadu etc. should not exceed the rural sample size. Earlier practice of giving double weightage to urban sector has been modified considering the fact that there has been considerable growth in urban population. A minimum of 8 FSUs will be allocated to each state/UT separately for rural and urban areas.
Allocation to strata:
Within each sector of a State/UT, the respective sample size will be allocated to the different strata in proportion to the stratum population as per census 2001. Allocations at stratum level will be adjusted to a multiple of 4 with a minimum sample size of 4.
Selection of FSUs
FSUs will be selected with Probability Proportional to Size With Replacement (PPSWR), size being the population as per Population Census 1991 in all the strata for rural sector except for stratum 1. In stratum 1 of rural sector and in all the strata of urban sector, selection will be done using Simple Random Sampling Without Replacement (SRSWOR). Within each stratum, samples will be drawn in the form of two independent sub-samples in both the rural and urban sectors.
Selection of hamlet-groups/sub-blocks/households - important steps
Proper identification of the FSU boundaries: The first task of the field investigators is to ascertain the exact boundaries of the sample FSU as per its identification particulars given in the sample list. For urban samples, the boundaries of each Urban Frame Survey (UFS) block may be identified by referring to the map corresponding to the frame code specified in the sample list (even though map of the block for a latter period of the UFS might be available).
Criterion for hamlet-group/sub-block formation: After identification of the FSU, it is to be determined whether listing will be done in the whole sample FSU or not. In case the population of the selected village or block is found to be 1200 or more, it will be divided into a suitable number (say, D) of „hamlet-groups? in the rural sector and „sub-blocks? in the urban sector as stated below.
less than 1200 (no hamlet-groups/sub-blocks) 1
1200 to 1799 3
1800 to 2399 4
2400 to 2999 5
3000 to 3599 6
…………..and so on
For rural areas of Himachal Pradesh, Sikkim, Nagaland and Poonch, Rajouri, Udhampur, Doda districts of Jammu and Kashmir and Idukki district of Kerala, the number of hamlet-groups will be formed as follows.
approximate present population of the sample village no. of hgs to be formed
less than 600 (no hamlet-groups) 1
600 to 899 3
900 to 1199 4
1200 to 1499 5
.………..and so on
Two hamlet-groups/sub-blocks will be selected from a large village/UFS block wherever hamlet-groups/sub-blocks have been formed, by SRSWOR. Listing and selection of the households will be done independently in the two selected hamlet-groups/sub-blocks.
Formation of hamlet-groups/sub-blocks: In case hamlet-groups/sub-blocks are to be formed in the sample FSU, the same should be done by more or less equalizing population (details are in Chapter Two). Note that while doing so, it is to be ensured that the hamlet-groups/sub-blocks formed are clearly identifiable in terms of physical landmarks.
Listing of households: Having determined the hamlet-groups/sub-blocks, i.e. area(s) to be considered for listing, the next step is to list all the households (including those found to be temporarily locked after ascertaining the temporariness of locking of households through local enquiry). The hamlet-group/sub-block with sample hg/sb number 1 will be listed first and that with sample hg/sb number 2 will be listed next.
Formation of Second Stage Strata and allocation of households for Schedule 25.0
In each selected village/block/hamlet-group/sub-block, four second stage strata (SSS) will be formed as given below.
SSS 1: households with at least one member hospitalised during last 365 days
SSS 2: from the remaining households, households having at least one child of age below 5 years
SSS 3: from the remaining households, households with at least one member of age 60 years or above
SSS 4: other households
Selection of households for Schedules 1.0, 10 and 25.0
From each SSS the sample households for all the schedules will be selected by SRSWOR. If a household is selected for more than one schedule only one schedule will be canvassed in that household in the priority order of Schedule 1.0, Schedule 10 and Schedule 25.0 and in that case the household will be replaced for the other schedule. If a household is selected for Schedule 1.0 it will not be selected for Schedule 10 or Schedule 25.0. Similarly, if a household is not selected for Schedule 1.0 but selected for Schedule 10 it will not be selected for Schedule 25.0. However, for the household, selected from SSS1 of Schedule 25.0, the Schedule 25.0 will be canvassed even if the household is selected for other schedules.
Deviations from the Sample Design
Shortfall of households to be compensated
For schedule 1.0, 10 and 25.0, shortfall of households available in the frame of any SSS will be compensated from the same SSS of the other hg/sb or from the other SSS of the same or other hg/sb where additional household(s) are available. The procedure is as follows:
Step 1: Allocate the required number of households to each SSS wherever possible and identify the SSS having shortfall.
Step 2: In case of hg/sb formation, compensate from the same SSS of the other hg/sb if available. Otherwise, go to Step 3.
Step 3: Find the SSS where additional households are available following the priority order of SSS 1, SSS 2, SSS 3 & SSS 4 and compensate.
If there is hg/sb formation, for each SSS as per priority order, compensation may be made from the hg/sb where shortfall occurs, failing which from other hg/sb and so on.
Similarly, if shortfall is in SSS 3 of hg/sb 1 for sch. 25.0, first try to compensate from SSS3 of hg/sb 2, failing which try from SSS 1 of hg/sb 1, failing which try from SSS 1 of hg/sb 2. If the shortfall still remains then try from SSS 2 of hg/sb 1, failing which try from SSS 2 of hg/sb 2 and so on.
For schedules 1.0 and 10, the procedure will be same except that choice will be limited to SSS 1 and SSS 2 only.
For example, if shortfall is in SSS 2 of hg/sb 2 for sch. 1.0 or sch. 10, first try to compensate from SSS 2 of hg/sb 1, failing which try from SSS 1 of hg/sb 2. If the shortfall still remains then try from SSS 1 of hg/sb 1.
The resulting number of households (h) for each SSS will be entered at the top of relevant column(s) of block 5 and also in col.(6) against the relevant SSS × (hg/sb) of block 6.
Dates of Data Collection (YYYY/MM/DD)
Mode of data collection
Use of the dataset must be acknowledged using a citation which would include:
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download
National Sample Survey Organisation. India National Sample Survey 2004 (60th Round) - Schedule 25 - Morbidity and Healthcare. Ref. IND_2004_NSS60-SCH25_v01_M. Data downloaded from [web] on [date].
Disclaimer and copyrights
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.