The National Sample Survey (NSS), set up by the Government of India in 1950 to collect socio-economic data employing scientific sampling methods, will start its fifty-ninth round from 1st January 2003.
Fifty-ninth round of NSS is earmarked for collection of data on land and livestock holdings, debt and investment and situation assessment for Indian farmers besides that on household consumer expenditure and employment-unemployment. The field operations of the survey commenced on 1st January 2003 and continued up to 31st December 2003.
Enquiries on land and livestock holdings (LHS) and all-India debt and investment (AIDIS) form the core of the fifty-ninth round programmes. Enquiry on land holdings was first taken up in the NSS 8th round (July '54 - April '55) as part of FAO programme of World Agricultural Census. It was repeated in the 16th and 17th rounds (July '60 - June '61 and September '61 - July '62). The next NSS survey on the subject was in the 26th round (July '71 - September '72). The All India Rural Credit Survey, the forerunner of the 'All India Debt and Investment' survey (AIDIS) was conducted by the RBI for the first time in the year 1951-52, with a view to obtaining information for formulating banking policies regarding rural credit. The survey on rural debt and investment was again conducted by the RBI in the year 1961-62 for obtaining reliable estimates of debt, borrowings, capital formation etc. The next survey on the subject was entrusted to the NSSO by the RBI and was integrated with the survey on land holdings conducted in NSS 26th round. In accordance with the 10-year programme charted by the NSSO, the enquiries on the topics were carried out again in the NSS 37th round (1982) and subsequently in NSS 48th round (1992). The present round is essentially a repetition of the NSS 48th round. However, some changes have been effected in the sample design and the formats of the survey schedules at the suggestion of the Working Group on the subject for obtaining reliable estimates of various characteristics. The situation assessment survey of Indian farmers (SAS) has been taken up for the first time and it serves as a benchmark database on Indian farmers.
Data to collected in this round relates to the fixed period of the agricultural year July 2002 - June 2003. Hence the calendar year of 2003 has been considered to be the most desirable survey period for this enquiry. In order to reduce the recall error, the total information relating to each sample household is collected in two visits. The first visit (January to August) broadly covered the Kharif season of the agricultural year 2002 - 2003 and the second (September to December) the corresponding Rabi season.
- v01: Edited, anonymous dataset for public distribution.
Schedule 1.0 has been split into several blocks to obtain detailed information on the expenditure incurred on domestic consumption and other particulars of the sample household. Besides, information will be collected on sufficiency of food. No account will, however, be taken of any expenditure incurred towards the productive enterprises of the households.
Block 0: Descriptive identification of sample household: This block is meant for recording descriptive identification particulars of a sample household. All the items are self-explanatory. A dash (-) may be recorded against not applicable items. (e.g., village name is not applicable for urban sample.)
Block 1: Identification of sample household: items 1, 4 to 12: The identification particulars for items 1,4-12 will be copied from the corresponding items of block 1 of listing schedule (Sch.0.0). The particulars to be recorded in items 2 and 3 have already been printed in the schedule.
Block 2: Particulars of field operation: The identity of the Investigator, Assistant Superintendent and Superintendent associated, date of survey/inspection/scrutiny of schedules, despatch, etc., will be recorded in this block against the appropriate items in the relevant columns. Besides, from the 46th round onwards, person codes of field officials have been introduced which are to be recorded against item 1(ii) (for central sample only). If the schedule is required to be canvassed for more than one day, the first day of survey is to be recorded against the item srl. no. 2(i). The time required to canvas the schedule should be the actual time to canvass the schedule. It does not include the time needed by the investigator to finalise the schedule.
Block 3: Household characteristics: Characteristics which are mainly intended to be used to classify the households for tabulation were recorded in this block.
Block 4: Demographic and other particulars of household members: All members of the sample household will be listed in this block. Demographic particulars (viz., relation to head, sex, age, marital status and general education), working status, type of income received and number of meals taken will be recorded for each member using one line for one member.
Blocks 5 to 9: Blocks on Consumer Expenditure: In these blocks information on consumer expenditure on various items/groups of items will be collected.
Block 5: Consumption of food, pan, tobacco and intoxicants: In this block information on consumption of each item of food, pan, tobacco and intoxicants for the household for a reference period of 30 days preceding the date of survey will be collected.
Block 5.1: Consumption of fuel and light. In this block information on consumption of each item of fuel and light for the household during last 30 days, prior to the date of survey, will be collected. Columns are similar to block 5.
Block 6: Consumption of clothing, bedding, etc: In this block, information on quantity and value of consumption of all items of clothing will be collected. The information in this block is required to be collected for a reference period of last 365 days. Consumption of clothing is defined as an item of clothing being brought into first-use. Clothing purchased first-hand will be considered for reporting against items 360 to 373 and items 380 to 387 (bedding, etc.). However, in case of second-hand purchase, total value of clothing purchased second-hand will be recorded against item 374: clothing (second-hand).
Block 7: Consumption of footwear: While filling in this block on purchase and consumption of footwear, the general instructions given for filling in the block on clothing will be followed. The quantity (number of pairs) and value (Rs) to be recorded are to be entered in whole number only.
Block 8.1: Expenditure on education & medical (institutional) goods and services: Under this block, information will be collected on educational and institutional medical expenses incurred during the last 365 days preceding the date of survey. Non-institutional medical expenses will be recorded separately in block 8.2. The institutional category will include payments made for goods & services availed of as an inpatient in both private as well as Government medical institutions like nursing homes, hospitals, etc. All other medical expenses will be treated under non-institutional category. The actual expenditure incurred during the reference period on the items listed in the block will be recorded.
Block 8.2: Expenditure on miscellaneous goods and services including medical (non- institutional), rents and taxes: In this block, relating to miscellaneous goods and services, information will be collected on the expenditure for purchase of these items during the reference period. The actual expenditure incurred towards purchase of these items, used for non-productive purposes, will be considered as the consumer expenditure of the household. Expenditure both in cash and kind will be taken into account. The reference period will be the last 30 days prior to the date of survey.
Block 9: Expenditure for purchase and construction (including repair and maintenance) of durable goods for domestic use: Information on expenditure incurred for purchase and cost of raw materials and services for construction and repairs of durable goods for domestic use during the last 365 days will be collected in this block. Expenditure will include both cash and kind. Purchase will include both first-hand and second-hand purchase and will be recorded in separate columns of this block. Only if some expenditure is incurred towards purchase of an item, may be in cash or kind or both, the item will be considered as purchased for this block. Expenditure incurred on purchase of durable goods for giving gifts will also be included. In case of credit/hire-purchase of any item of this block, the actual expenditure made during the reference period will be recorded. Expenditure on any item in this block will be recorded in whole number of rupees.
In blocks 5 and 5.1, information on an item was recorded only if it was consumed. In blocks 6 and 7 value of an item was recorded only if it was brought into first-use during the reference period. In blocks 8.1, 8.2 and 9 expenditure was recorded if it was incurred on any item during the reference period.
Block 10: Perception of household regarding sufficiency of food: This block will be filled after completion of the enquiry on all the preceding blocks. The expression in item 1 - „getting enough food everyday? - as used in common parlance, conveys that the concerned person gets, by and large, sufficient food to eat. This question is asked in order to know the perception of the household regarding sufficiency of food.
The survey covers 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
National Sample Survey Organisation
Ministry of Statistics and Programme Implementation (MOSPI)
A stratified multi-stage design has been adopted for the 59th round survey. The first stage unit (FSU) is the census village in the rural sector and UFS block in the urban sector. The ultimate stage units (USUs) are households in both the sectors. Hamlet-groups / sub-blocks constitute the intermediate stage whenever these are formed in the selected FSU.
Sampling Frame for First Stage Units:
For rural areas, the list of villages (panchayat wards for Kerala) as per Population Census 1991 and for urban areas the latest UFS frame have been used as sampling frame. For stratification of towns by size class, provisional population of towns as per Census 2001 have been used.
Two special strata have been 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 was formed whenever at least 50 such FSUs were found in a State/UT. Similarly, special stratum 2 was formed if at least 4 such FSUs were found in a State/UT. Otherwise, such FSUs were merged with the general strata.
From FSUs other than those covered under special strata 1 & 2, general strata were formed and its numbering started from 3. Each district of a State/UT was normally treated as a separate stratum. However, if the census rural population of the district was greater than or equal to 2 million as per population census 1991 or 2.5 million as per population census 2001, the district was split into two or more strata by grouping contiguous tehsils. However, in Gujarat, some districts were not wholly included in an NSS region. In such cases, the part of the district falling in an NSS region constituted a separate stratum.
Urban Sector: In the urban sector, strata have been 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 city with population 10 lakhs or more
The stratum numbers remained as above even if, in some regions, some of the strata did not exist.
Total Sample Size (FSUs):
10608 FSUs have been allocated at all-India level on the basis of investigator strength in different States/UTs for central sample and 11496 for state sample.
Allocation of Total Sample to States and UTs:
The total number of sample FSUs has been 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 size has been 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. would not exceed the rural sample size. Earlier practice of giving double weightage to urban sector has been modified considering the fact that two main subjects of enquiry (sch. 18.1 and sch 33) are rural based and there has been considerable growth in urban population over the years. More samples have been allocated to rural sector of Meghalaya state sample at the request of the DES, Meghalaya.
Allocation to Strata:
Within each sector of a State/UT, the respective sample size was allocated to the different strata in proportion to the stratum population as per census 2001. Allocations at stratum level was adjusted to a multiple of 2 with a minimum sample size of 2. However, a multiple of 4 FSUs was allocated to a stratum wherever possible.
Selection of FSUs:
FSUs were 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 was done using Simple Random Sampling without replacement (SRSWOR). Samples were drawn in the form of two independent sub-samples both in rural and urban sectors.
Selection of Hamlet-groups/Sub-blocks / Households
Formation of Hamlet-group/Sub-block:
Large villages/blocks having approximate present population 1200 or more are divided into a suitable number of hamlet-groups/sub-blocks.
less than 1200 1 (no hamlet-groups/sub-blocks formation)
1200 to 1799 3
1800 to 2399 4
2400 to 2999 5
3000 to 3599 6
For rural areas of Himachal Pradesh, Sikkim, Nagaland and Poonch, Rajouri, Udhampur, Doda districts of Jammu and Kashmir, the number of hamlet-groups formed is
less than 600 1 (no hamlet-groups/sub-blocks formation)
600 to 899 3
900 to 1199 4
1200 to 1499 5
Hamlet-groups / sub-blocks are formed by more or less equalising population. Two hamlet-groups / sub-blocks are selected from a large village or block by SRSWOR. Listing and selection of the households are done independently in the two selected hamlet-groups/sub-blocks so formed.
Two SSS are formed:
SSS 1: households possessing land < Y
SSS 2: households possessing land = Y
SSS 1: households belonging to MPCE classes 1, 2 and 3
SSS 2: households belonging to MPCE class 4
Out of the four households selected for sch. 1.0, two households are covered in visit 1 and two in visit 2.
Allocation and Selection of Sample Households:
Two households are selected from each SSS of each type of schedule. In case of hamlet group/ sub-block formation, one household is selected from each (hg/sb) × SSS. Sample households for each type of schedule are selected by SRSWOR in each SSS of each hg/sb.
Dates of Data Collection
Data Collection Mode
The World Bank Microdata Library
The World Bank
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 Office (NSSO), India. National Sample Survey 2003 (59th Round) - Schedule 1.0 - Consumer Expenditure. Ref. IND_2003_NSS59-SCH1.0_v01_M. Dataset downloaded from [source] 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.