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TwitterThe National Sample Surveys (NSS) are being conducted by the Government of India since 1950 to collect socio-economic data employing scientific sampling methods. The Household Consumption Expenditure Survey (HCES) is designed to collect information on consumption of goods and services by the households. Information collected in HCES is used for analyzing and understanding the consumption and expenditure pattern, standard of living and well-being of the households. Besides, the data of the survey provides budget shares of different commodity groups that is used for preparation of the weighting diagram for compilation of official Consumer Price Indices (CPIs). The data collected in HCES is also utilized for deriving various other macroeconomic indicators.
The survey covers the whole of the Indian Union except the villages in Andaman and Nicobar Islands which are difficult to access. Total 15016 FSUs was surveyed for the central sample at all-India level.
Households and Individuals
Sample survey data [ssd]
A multistage stratified sampling design, considering villages/urban blocks as the first stage units has been used in the survey. The households are the ultimate stage units. Simple Random Sampling Without Replacement (SRSWOR) method is used for selecting the samples.
In order to ensure proper representation of households of different economic categories, all the households of a selected village/urban block are classified into three groups depending on a criterion based on (i) land possessed in rural areas and (ii) possession of car in urban areas as on the date of the survey. A total of 18 households with proportional representation from the three groups have been selected.
Note: The details of survey methodology and estimation procedure are provided in Appendix B of the survey report “Survey on Household Consumption Expenditure: 2022-23”.
Face-to-face [f2f]
In the HCES 2022–23, the consumption basket was categorized into three broad groups: (i) Food items, (ii) Consumables and Services, and (iii) Durable Goods. Based on this classification, three separate questionnaires were developed: the Food Questionnaire (FDQ), the Consumables and Services Questionnaire (CSQ), and the Durable Goods Questionnaire (DGQ). These were administered to selected households across three consecutive monthly visits, with each visit focusing on a different category.
Additionally, a separate Household Characteristics Questionnaire (HCQ) was used to collect demographic and other background information about the household members.
To minimize any potential bias from the order of questionnaire administration, the survey employed all six possible sequences of the three main questionnaires:
(FDQ, CSQ, DGQ)
(FDQ, DGQ, CSQ)
(CSQ, FDQ, DGQ)
(CSQ, DGQ, FDQ)
(DGQ, FDQ, CSQ)
(DGQ, CSQ, FDQ)
This approach ensured that no particular sequencing influenced the results.
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TwitterIn 2024, the annual household consumption expenditure in India amounted to **** trillion U.S. dollars. This was an increase as compared to the previous year, when the annual household consumption expenditure amounted to just over **** trillion U.S. dollars. Household consumption expenditure is the market value of goods and services purchased by households, including slow-moving consumer goods (computers, cars, and washing machines).
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TwitterThe National Sample Survey Organisation (NSSO) has been carrying out All-India surveys on consumer expenditure. While some of these smaller-scale surveys are spread over a full year and others over six months only, the quinquennial (full-scale) surveys have all been of a full year's duration. Household consumer expenditure is measured as the expenditure incurred by a household on domestic account during a specified period, called reference period. It includes the imputed values of goods and services, which are not purchased but procured otherwise for consumption. In other words, it is the sum total of monetary values of all the items (i.e. goods and services) consumed by the household on domestic account during the reference period. Any expenditure incurred towards the productive enterprises of the households is also excluded from household consumer expenditure. To minimise recall errors, a very detailed item classification is adopted to collect information, including items of food, items of fuel, items of clothing, bedding and footwear, items of educational and medical expenses, items of durable goods and other items. The schedule has also collected some other household particulars including age, sex and educational level etc. of each household member.
The survey covered 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.
Randomly selected households based on sampling procedure and members of the household
The survey used the interview method of data collection from a sample of randomly selected households and members of the household.
Sample survey data [ssd]
Sample Design
Outline of sample design: A stratified multi-stage design has been adopted for the 61st round survey. The first stage units (FSU) were the 2001 census villages in the rural sector and Urban Frame Survey (UFS) blocks in the urban sector. The ultimate stage units (USU) were households in both the sectors. In case of large villages/blocks requiring hamlet-group (hg)/sub-block (sb) formation, one intermediate stage was the selection of two hgs/sbs from each FSU.
Sampling Frame for First Stage Units: For the rural sector, the list of 2001 census villages (panchayat wards for Kerala) constituted the sampling frame. For the urban sector, the list of latest available Urban Frame Survey (UFS) blocks were considered as the sampling frame.
Stratification: Within each district of a State/UT, two basic strata were formed: i) rural stratum comprising of all rural areas of the district and (ii) urban stratum comprising of all the urban areas of the district. However, if there are one or more towns with population 10 lakhs or more as per population census 2001 in a district, each of them also formed a separate basic stratum and the remaining urban areas of the district were considered as another basic stratum. There were 27 towns with population 10 lakhs or more at all-India level as per census 2001.
Sub-stratification:
Rural sector: If ‘r’ be the sample size allocated for a rural stratum, the number of sub-strata formed were ‘r/2’. The villages within a district as per frame were first arranged in ascending order of population. Then sub-strata 1 to ‘r/2’ were demarcated in such a way that each sub-stratum comprised a group of villages of the arranged frame and had more or less equal population.
Urban sector: If ‘u’ be the sample size for a urban stratum, ‘u/2’ number of sub-strata were formed. The towns within a district, except those with population 10 lakhs or more, were first arranged in ascending order of population. Next, UFS blocks of each town were arranged by IV unit no. × block no. in ascending order. From this arranged frame of UFS blocks of all the towns, ‘u/2’ number of sub-strata were formed in such a way that each sub-stratum had more or less equal number of UFS blocks.
For towns with population 10 lakhs or more, the urban blocks were first arranged by IV unit no. × block no. in ascending order. Then ‘u/2’ number of sub-strata were formed in such a way that each sub-stratum had more or less equal number of blocks.
Total sample size (FSUs): 12984 FSUs have been allocated at all-India level on the basis of investigator strength in different States/UTs for central sample and 14104 for state sample.
There was no deviation from the original sampling design.
Face-to-face [f2f]
Schedule 1.0 of the 61st NSS round consists of the following blocks:
Block 0: Descriptive identification of sample household: This block is meant for recording descriptive identification particulars of a sample household.
Block 1: Identification of sample household
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., has been recorded in this block against the appropriate items in the relevant columns.
Block 3: Household characteristics:
Characteristics which are mainly intended to be used to classify the households for tabulation has been recorded in this block.
Block 4: Demographic and other particulars of household members: All members of the sample household have been listed in this block. Demographic particulars (viz., relation to head, sex, age, marital status and general education) and number of meals taken have been recorded for each member using one line for one member.
Block 5: Consumption of food, pan, tobacco and intoxicants during the last 30 days. Information on an item has been recorded only if it is consumed.
Block 6: Consumption of fuel & light during the last 30 days.
Block 7: Consumption of clothing, bedding, etc. during the last 30 days and the last 365 days.
Block 8: Consumption of footwear during the last 30 days and the last 365 days.
Block 9: Expenditure on education and medical (institutional) goods and services during the last 30 days and the last 365 days.
Block 10: Expenditure on miscellaneous goods and services including medical (non-institutional), rents and taxes during the last 30 days.
Block 11: expenditure for purchase and construction (including repair and maintenance) of durable goods for domestic use during last 30 days and last 365 days.
Block 12: Perception of household regarding sufficiency of food
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TwitterThe 66th round (July 2009-June 2010) of NSS is earmarked for survey on 'Household Consumer Expenditure' and 'Employment and Unemployment'. The survey on 'household consumer expenditure' is the eighth quinquennial survey in the series, the last one being conducted in the 61st round (2004-2005) of NSS. The period of survey was one year from 1st July 2009 to 30th June 2010. The survey period of this round divided into four sub-rounds of three months' duration each as follows:
sub-round 1 : July - September 2009
sub-round 2 : October - December 2009
sub-round 3 : January - March 2010
sub-round 4 : April - June 2010
In each of these four sub-rounds equal number of sample villages/ blocks (FSUs) allotted for survey with a view to ensuring uniform spread of sample FSUs over the entire survey period.
Household Consumer Expenditure The programme of quinquennial surveys on consumer expenditure and employment & unemployment has been adopted by the National Sample Survey Office (NSSO) since 1972-73. Under the programme, the survey on consumer expenditure provides a time series of household consumer expenditure data, which is the prime source of statistical indicators of level of living, social consumption and well-being, and the inequalities thereof. Apart from the quinquennial series (QS), there also exists an “annual series”, comprising consumer expenditure surveys conducted in the intervening periods between QS rounds - starting from the 42nd round (July 1986 - June 1987) and using a smaller sample.
Household consumer expenditure (HCE) during a specified period, called the reference period, may be defined as the total of the following: (a) expenditure incurred by households on consumption goods and services during the reference period (b) imputed value of goods and services produced as outputs of household (proprietary or partnership) enterprises owned by households and used by their members themselves during the reference period (c) imputed value of goods and services received by households as remuneration in kind during the reference period (d) imputed value of goods and services received by households through social transfers in kind received from government units or non-profit institutions serving households (NPISHs) and used by households during the reference period. Reference period and schedule type: The reference period is the period of time to which the information collected relates. In NSS surveys, the reference period often varies from item to item. Data collected with different reference periods are known to exhibit certain systematic differences. In this round, two schedule types have been drawn up to study these differences in detail. Sample households will be divided into two sets - Schedule Type 1 will be canvassed in one set and Schedule Type 2 in the other. The reference periods to be used for different groups of consumption items are given below, separately for each schedule type.
The survey covered the whole of the Indian Union except (i) interior villages of Nagaland situated beyond five kilometres of the bus route and (ii) villages in Andaman and Nicobar Islands which remain inaccessible throughout the year. For Leh (Ladakh) and Kargil districts of Jammu & Kashmir there will be no separate sample first-stage units (FSUs) for 'central sample'. For these two districts, sample FSUs drawn as 'state sample' also treated as central sample.
Households and Persons
Households and members of the household
Sample survey data [ssd]
Sample design Outline of sample design: A stratified multi-stage design was adopted for the 66th round survey. The first stage units (FSUs) were the 2001 Census villages (Panchayat wards in case of Kerala) in the rural sector and Urban Frame Survey (UFS) blocks in the urban sector. In addition, two non-UFS towns of Leh and Kargil of Jammu & Kashmir were also treated as FSUs in the urban sector. The ultimate stage units (USU) were households in both the sectors. In case of large FSUs, one intermediate stage of sampling was the selection of two hamlet-groups (hgs)/subblocks (sbs) from each rural/urban FSU.
Sampling frame for first stage units: For the rural sector, the list of 2001 Census villages (henceforth the term 'village' will mean Panchayat wards for Kerala) constituted the sampling frame. For the urban sector, the list of latest available UFS blocks was considered as the sampling frame. For non-UFS towns, the frame consisted of the individual towns (only two towns, viz., Leh & Kargil constituted this frame).
Stratification: Within each district of a State/UT, generally speaking, two basic strata were formed: i) rural stratum comprising all rural areas of the district and (ii) urban stratum comprising all urban areas of the district. However, within the urban areas of a district, wherever there were one or more towns with population 10 lakhs or more as per Census 2001 in a district, each of these formed a separate basic stratum and the remaining urban areas of the district were considered as another basic stratum. Sub-stratification: Each rural stratum was divided into 2 sub-strata as follows: sub-stratum 1: all villages with proportion of child workers (p) >2P (where P is the average proportion of child workers for the State/UT as per Census 2001) sub-stratum 2: remaining villages
Total sample size (FSUs): At all-India level, 12784 FSUs were allocated to the Central sample and 15132 FSUs to the State sample. Further, the data of 24 State sample FSUs of Leh and Kargil districts of J&K surveyed by DES, J&K, were included in the Central sample.
Allocation of total sample to States and UTs: The total number of sample FSUs was allocated to the States and UTs in proportion to population as per Census 2001 subject to a minimum sample allocation to each State/UT, and subject to resource availability in terms of field investigators.
Allocation of State/UT level sample to rural and urban sectors: State/UT level sample size was allocated between the two sectors in proportion to population as per Census 2001 with double weightage to urban sector, subject to the restriction that the urban sample size for bigger States like Maharashtra, Tamil Nadu, etc. should not exceed the rural sample size. A minimum of 16 FSUs (to the extent possible) was allocated to each State/UT separately for rural and urban areas. Further, the State-level allocations for both rural and urban sectors were adjusted marginally in a few cases to ensure that each stratum/sub-stratum got a minimum allocation of 4 FSUs.
Allocation to strata/sub-strata: Within each sector of a State/UT, the sample size was allocated to different strata/sub-strata in proportion to population as per Census 2001. Allocations at stratum/sub-stratum level were adjusted to multiples of 4 with a minimum sample size of 4 and equal-sized samples were allocated to the four sub-rounds.
Selection of FSUs: For the rural sector, from each stratum/sub-stratum, the required numbers of sample villages were selected by probability proportional to size with replacement (PPSWR), size being the population of the village as per Census 2001. For the urban sector, FSUs were selected from each stratum using Simple Random Sampling Without Replacement (SRSWOR). Both rural and urban samples were drawn in the form of two independent sub-samples.
Formation and selection of hamlet-groups/sub-blocks: Selected FSUs with approximate population 1200 or more were divided into a suitable number of geographically compact 'hamlet-groups' (having more or less equal population) in the rural sector and 'sub-blocks' in the urban sector .
Selection of hamlet-groups/sub-blocks: Hamlet-groups (hg)/sub-blocks (sb) were selected from FSUs where hamlet-groups/sub-blocks were formed, two in the following manner. The hg/sb with maximum percentage share of population was always selected and termed hg/sb 1;one more hg/sb was selected from the remaining hg’s/sb’s by simple random sampling (SRS) and termed hg/sb 2. Listing and selection of the households was done independently in the two selected hamlet-groups/sub-blocks.
Face-to-face [f2f]
Household consumer expenditure is measured as the expenditure incurred by a household on domestic account during a specified period, called reference period. It includes the imputed values of goods and services, which are not purchased but procured otherwise for consumption. In other words, it is the sum total of monetary values of all the items (i.e. goods and services) consumed by the household on domestic account during the reference period. The imputed rent of owner-occupied houses is excluded from consumption expenditure. Any expenditure incurred towards the productive enterprises of the households is also excluded from household consumer expenditure.
To make the definition of household consumption operational, clear guidelines are needed not only on what is included in household consumer expenditure and what is excluded, but also on
(a) the identification of the household performing each act of consumption
(b) the assigning of a time to of each act of consumption.
Only then can one attempt to record the consumption of a household H within a reference period P.
It has been found convenient to assign different meanings of the word “consumption” (and hence different approaches to its measurement) for different categories of consumption items.
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TwitterThe Household Consumption Expenditure Survey (HCES) is designed to collect information on consumption of goods and services by the households. Information collected in HCES is used for analyzing and understanding the consumption and expenditure pattern, standard of living and well-being of the households. Besides, the data of the survey provides budget shares of different commodity groups that is used for preparation of the weighting diagram for compilation of official Consumer Price Indices (CPIs). The data collected in HCES is also utilized for deriving various other macroeconomic indicators.
8,684 FSUs in the rural areas and 6,143 in the urban areas have been surveyed in HCES:2023-24. The total sample size of 14,827FSUs has been allocated to State/UTs in proportion to Census 2011 population, subject to a minimum allocation of 40 FSUs.
Households and Individuals
Sample survey data [ssd]
The most recent Household Consumption Expenditure Survey (HCES), previously known as the Household Consumer Expenditure Survey, was conducted from August 2023 to July 2024. Data was collected from each selected household using three separate questionnaires—FDQ (Food Items), CSQ (Consumables & Services), and DGQ (Durable Items)—administered during three distinct monthly visits within a quarter. In addition, a separate questionnaire, HCQ, was used to gather information on household characteristics.
The HCES 2023–24 employed a multi-stage stratified sampling design. The First Stage Units (FSUs) were villages or urban blocks (or their sub-units), and the Ultimate Stage Units (USUs) were the households. Both FSUs and USUs were selected using Simple Random Sampling Without Replacement (SRSWOR). Within each FSU, 18 sample households were surveyed.
The survey period was divided into 10 panels, each spanning three months. In the first month of each panel, the HCQ questionnaire and one of the three main questionnaires (FDQ, CSQ, or DGQ) were administered to the selected households. The remaining two questionnaires were administered in the second and third months, respectively. The order of administering the FDQ, CSQ, and DGQ was randomized for each FSU to avoid sequencing bias. All six possible permutations of the three questionnaires—(FDQ, CSQ, DGQ), (FDQ, DGQ, CSQ), (CSQ, FDQ, DGQ), (CSQ, DGQ, FDQ), (DGQ, FDQ, CSQ), and (DGQ, CSQ, FDQ)—were used across the sample households.
For the urban sector, the sampling frame consisted of Urban Frame Survey (UFS) blocks from the latest UFS. For the rural sector, it comprised villages listed in the 2011 Census, excluding those reclassified as urban in the latest UFS at the time of sample selection. To maintain uniformity in FSU size and facilitate operational convenience, large villages or UFS blocks were sometimes subdivided into smaller, roughly equal units—referred to as sub-units—based on predefined criteria, such as population size or the number of households.
Face-to-face [f2f]
In the HCES 2023–24, the consumption basket was categorized into three broad groups: (i) Food items, (ii) Consumables and Services, and (iii) Durable Goods. Based on this classification, three separate questionnaires were developed: the Food Questionnaire (FDQ), the Consumables and Services Questionnaire (CSQ), and the Durable Goods Questionnaire (DGQ). These were administered to selected households across three consecutive monthly visits, with each visit focusing on a different category.
Additionally, a separate Household Characteristics Questionnaire (HCQ) was used to collect demographic and other background information about the household members.
To minimize any potential bias from the order of questionnaire administration, the survey employed all six possible sequences of the three main questionnaires:
(FDQ, CSQ, DGQ)
(FDQ, DGQ, CSQ)
(CSQ, FDQ, DGQ)
(CSQ, DGQ, FDQ)
(DGQ, FDQ, CSQ)
(DGQ, CSQ, FDQ)
This approach ensured that no particular sequencing influenced the results.
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License information was derived automatically
HCE: Monthly per Capita Consumer Expenditure: Average: Bihar: Rural data was reported at 1,004.980 INR in 2012. This records an increase from the previous number of 681.030 INR for 2010. HCE: Monthly per Capita Consumer Expenditure: Average: Bihar: Rural data is updated yearly, averaging 417.110 INR from Jun 1994 (Median) to 2012, with 4 observations. The data reached an all-time high of 1,004.980 INR in 2012 and a record low of 218.300 INR in 1994. HCE: Monthly per Capita Consumer Expenditure: Average: Bihar: Rural data remains active status in CEIC and is reported by Ministry of Statistics and Programme Implementation. The data is categorized under India Premium Database’s Domestic Trade and Household Survey – Table IN.HB: HCES: Uniform Reference Period (URP): Average Monthly Per Capita Consumption Expenditure (MPCE): by Item Group: Bihar: Rural (Discontinued).
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TwitterThe National Sample Survey Office (NSSO) conducts regular consumer expenditure surveys as part of its "rounds", each round being normally of a year's duration and covering more than one subject of study. The surveys are conducted through household interviews, using a random sample of households covering practically the entire geographical area of the country. Surveys on consumer expenditure are being conducted quinquennially on a large sample of households from the 27th round (October 1972 - September 1973) onwards. Household consumer expenditure is measured as the expenditure incurred by a household on domestic account during a specified period, called reference period. It includes the imputed values of goods and services, which are not purchased but procured otherwise for consumption. In other words, it is the sum total of monetary values of all the items (i.e. goods and services) consumed by the household on domestic account during the reference period. The imputed rent of owner-occupied houses is excluded from consumption expenditure. Any expenditure incurred towards the productive enterprises of the households is also excluded from household consumer expenditure. The schedule also collected some other household particulars including age, sex and educational level etc. of each household member. The third quinquennial survey on household consumer expenditure was carried out during January-December, 1983. A three-digit code system, for identification of each item of consumer expenditure, has been introduced in this round: the hundreds and tens place indicates a broad division of items; the hundreds and tens place together specify a group of items and all the three digits together indicates a particular item. In the system of code structure introduced here, an item code ending with 9 represents 'others' that is any item not classified under the particular group. Similarly, a code with 'O' in the units place would be identified as a sub-total item.
The survey covered the whole of the Indian Union.
Randomly selected households based on sampling procedure and members of the household
The survey used the interview method of data collection from a sample of randomly selected households and members of the household.
Sample survey data [ssd]
There was no deviation from the original sampling design.
Face-to-face [f2f]
The data for this survey is collected in the NSS Schedule 1.0 used for household consumer expenditure. For this round, the schedule had 12 blocks. Summary description of the schedule 1.0 on consumer expenditure is given below.
Blocks 1 and 2 - are similar to the ones used in usual NSS rounds. These are used to record identification of sample households and particulars of field operations.
Block-3: Household characteristics like, household size, principal industry-occupation, social group, land possessed and cultivated, type of dwelling etc. are recorded in this block.
Block-4: In this Block the detailed demographic particulars including age, sex, educational level, marital status, number of meals usually taken in a day etc. are recorded.
Block-5: In this block cash purchase and consumption of food, pan, tobacco, intoxicants and fuel & light during the last 30 days are recorded.
Block-6: Consumption of clothing during the last 30 and 365 days is recorded in this block.
Block-7: Consumption of footwear during the last 30 and 365 days is recorded in this block.
Block-8 : Expenditure on miscellaneous goods and services and rents and taxes during the last 30 days has been recorded in this block.
Block-9 : Expenditure for purchase of durable goods and selected miscellaneous goods and services (not included in block 8) for domestic use is recorded here.
Block-10 : Particulars of dwelling units are recorded in this block.
Block-11 : Perception of the household regarding sufficiency of food is recorded in this block.
Block-12 : Summary of consumer expenditure during last 30 days is recorded in this block.
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TwitterThe above data pertains to India and includes information about the Gross Domestic Product (GDP) as well as the Household Consumption Expenditure. The data covers the time period between 1990 and 2019, providing insights into the trends and changes in these economic indicators over a span of 29 years. This information can be used to analyze and understand the economic development of India during this time period.
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TwitterThe National Sample Survey Office has been regularly carriying out the survey on consumer expenditure covering all India as part of National Sample Survey (NSS).
The field operations of the 53rd NSS round started on 1st January 1997 and continued up to 31st December 1997. The household consumer expenditure schedule, used for the survey, collected information on quantity and value of household consumption with a reference period of "last 30 days" for some items of consumption.
Household consumer expenditure is measured as the expenditure incurred by a household on domestic account during a specified period, called reference period. It includes the imputed values of goods and services, which are not purchased but procured otherwise for consumption. In other words, it is the sum total of monetary values of all the items (i.e. goods and services) consumed by the household on domestic account during the reference period. Any expenditure incurred towards the productive enterprises of the households is also excluded from household consumer expenditure. To minimize recall errors, a very detailed item classification is adopted to collect information, including items of food, items of fuel, items of clothing, bedding and footwear, items of educational and medical expenses, items of durable goods and other items. The schedule has also collected some other household particulars including age, sex and educational level, etc. of each household member. The schedule design for the survey is more or less similar to that adopted in the previous rounds.
The survey covered the whole of the Indian Union except Ladakh and Kargil districts of J & K, 768 interior villages of Nagaland situated beyond 5 kms of the bus route and 195 villages of A & N Islands which remain inaccessible throughout the year.
Sample survey data [ssd]
A stratified two-stage design is adopted for the current round. The first-stage units are census villages in the rural sector (panchayat wards in case of Kerala) and the NSSO urban frame survey (UFS) blocks in the urban sector. The second-stage units are households in both sectors.
SAMPLING FRAME FOR FIRST STAGE UNITS The lists of census villages of 1991 census (1981 census list for J & K ) constitute the sampling frame for the rural sector. For Kerala, however, the list of panchayat wards has been used as the sampling frame for selection of panchayat wards in the rural sector. For Nagaland, the villages located within 5 kms. of a bus route constitute the sampling frame whereas, for Andaman & Nicobar Islands, the list of 'accessible' villages constitutes the sampling frame. For the urban sector, the lists of NSSO Urban Frame Survey (UFS) blocks have been considered as the sampling frame.
STRATIFICATION RURAL: In the rural sector, each district is treated as a separate stratum. However, if the 1991 census population of the district is greater than or equal to 2 million (1.8 million population as per 1981 census for J & K) , the districts is split into two or more strata, by grouping contiguous thesis to form strata. In Gujarat, in the case of districts extending over more than one NSS region, the part of a district falling within each NSS region forms a separate stratum.
URBAN: In the urban sector, strata are formed, within each NSS region, by grouping towns on the basis of the population size class of towns.
The total number of sampling units (i.e. villages and blocks) to be surveyed in the present round was fixed at 13,224 for the Central sample and 14,876 for the State sample.
Face-to-face [f2f]
The data for this survey is collected in the NSS Schedule 1.0 used for household consumer expenditure. For this round, the schedule had the following blocks:
Blocks 1 and 2 - are similar to the ones used in usual NSS rounds. These are used to record identification of sample households and particulars of field operations.
Block-3: Household characteristics like, household size, principal industry-occupation, social group, land possessed, primary source of energy used for cooking and lighting etc. have been recorded in this block.
Block-4: In this block detailed demographic particulars including age, sex, educational level, marital status, number of meals usually taken in a day etc. has been recorded.
Block-5: In this block cash purchase and household consumption of food, pan, tobacco and intoxicants during the last 30 days have been recorded.
Block-5.1: In this block cash purchase and household consumption of fuel and light during the last 30 days have been recorded.
Block-6: Monthly household consumption of clothing has been recorded in this block.
Block-7: Monthly household consumption of footwear has been recorded in this block.
Block-8 : Household expenditure on miscellaneous goods and services and rents and taxes during the last 30 days has been recorded in this block.
Block-8.1 : Monthly household expenditure on education and medical (institutional) goods and services has been recorded here.
Block-8.2 : Monthly household expenditure on medical (non-institutional) goods and services has been recorded here.
Block-9 : Monthly household expenditure for purchase and construction (including repairs) of durable goods for domestic use has been recorded here.
Block-10 : Perception of households regarding sufficiency of food has been recorded here.
Block-12 : Summary of household consumer expenditure has been recorded here.
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TwitterThe National Sample Survey Organisation (NSSO) has been carrying out All-India surveys quinquennially on consumer expenditure and employment - unemployment. The 50th round (July 1993 - June 1994) was the Fifth quinquennial survey on Consumer Expenditure and Employment - Unemployment. The previous four quinquennial surveys were the 27th (Oct. 1972 - Sept. 1973), the 32nd (Jul.1977 - Jun. 1978), the 38th ( Jan. - Dec. 1983) and 43rd (Jul. 1987 - Jun. 1988) rounds. In other rounds of NSS, also, a consumer expenditure inquiry on a limited scale was being carried out from the 42nd round (1986-87) onwards. From the 45th round onwards the subject coverage of this schedule has been expanded to include some important questions on employment so that an annual series of consumer expenditure and employment data is now available. While some of these smaller-scale surveys are spread over a full year and others over six months only, the quinquennial (full-scale) surveys have all been of a full year's duration. Household consumer expenditure is measured as the expenditure incurred by a household on domestic account during a specified period, called reference period. It includes the imputed values of goods and services, which are not purchased but procured otherwise for consumption. In other words, it is the sum total of monetary values of all the items (i.e. goods and services) consumed by the household on domestic account during the reference period. The imputed rent of owner-occupied houses is excluded from consumption expenditure. Any expenditure incurred towards the productive enterprises of the households is also excluded from household consumer expenditure. The household consumer expenditure schedule used for the survey collected information on quantity and value of household consumption with a reference period of "last 30 days" for some items of consumption and "last 365 days" for some less frequently purchased items. To minimise recall errors, a very detailed item classification was, as usual, adopted to collect information, including 148 items of food, 13 items of fuel, 28 items of clothing, bedding and footwear, 18 items of educational and medical expenses, 52 items of durable goods, and about 85 other items. The schedule also collected some other household particulars including age, sex and educational level etc. of each household member.
The schedule design for the survey was more or less similar to that adopted in the previous quinquennial round. The field work for the survey was conducted, as usual, by the Field Operations Division of the Organisation. The collected data were processed by the Data Processing Division of NSSO and tabulated by the Computer Centre of Department of Statistics. The reports have been prepared by Survey Design & Research Division (SDRD) of NSSO under the guidance of the Governing Council, NSSO.
Data layout of this round is not in accordance with the questionnaire. Some additional variables have been generated for tabulation which the users can ignore.
The survey period of the 50th round was from July 1993 to June 1994. The geographical coverage of the survey was to be the whole of the Indian Union except Ladakh and Kargil districts of Jammu & Kashmir, 768 interior villages of Nagaland and 172 villages in Andaman & Nicobar Islands which remain inaccessible throughout the year. However, certain districts of Jammu & Kashmir viz., Doda, Anantnag, Pulwama, Srinagar, Badgam, Baramula and Kupwara, and Punjab's Amritsar district, had to be excluded from the survey due to unfavourable field conditions.
Randomly selected households based on sampling procedure and members of the household
The survey used the interview method of data collection from a sample of randomly selected households and members of the household.
Sample survey data [ssd]
The sample design adopted for this round of survey was similar to that followed in the past surveys in its general aspects. The general scheme was a two stage stratified design with the first stage units being villages in the rural areas and urban frame survey blocks (UFS) in the urban areas. The second stage units were the households.
Sampling frame for first stage units:
The latest available lists of census villages (which are mostly the 1981 census lists) constitute the sampling frame for the rural sector. For Nagaland, the villages located within 5kms of a bus route constitute the sampling frame whereas, for Andaman & Nicobar Islands, the list of accessible villages constituted the sampling frame. For the urban sector, the lists of NSSO Urban Frame Survey (UFS) blocks have been considered as the sampling frame. However, for some of the newly declared towns of 1991 census for which UFS frame has not been received, the lists of 1991 census EBs have been considered as the sampling frame.
Region formation and stratification: States were divided into regions by grouping contiguous districts similar in respect of population density and cropping pattern. In rural sector each district was treated a separate stratum if the population was below 2 million and where it exceeded 2 million, it was split into two or more strata. This cut off point of population was taken as 1.8 million ( in place of 2 million ) for the purpose of stratification for districts for which the 1981 census frame was used. In the urban sector, strata were formed, within each NSS region on the basis of population size class of towns. However, for towns with population of 4 lakhs or more the urban blocks were divided into two classes viz. one consisting of blocks inhabited by affluent section of the population and the other consisting of the remaining blocks.
Selection of first stage units : Selection of sample villages was done circular systematically with probability proportional to population and sample blocks circular systematically with equal probability. Both the sample villages and the sample blocks were selected in the form of two or more independent sub-samples. In Arunachal Pradesh the procedure of cluster sampling has been followed. Further large villages/blocks having present population of 1200 or more were divided into a suitable number of hamlet- groups/ sub-blocks having equal population content. Two hamlet- groups were selected from the larger villages while one sub-block was selected in urban sector for larger blocks.
Selection of households : While listing the households in the selected villages, certain relatively affluent households were identified and considered as second stage stratum 1 and the rest as second stage stratum 2.
A total of 10 households were surveyed from the selected village/hamlet-groups, 2 from the first category and remaining from the second. Further in the second stage stratum-2, the households were arranged according to the means of livelihood. The means of livelihood were identified on the basis of the major source of income as i) self-employed in non-agriculture, ii) rural labour and iii) others. The land possessed by the households was also ascertained and the frame for selection was arranged on the basis of this information. The households were selected circular systematically from both the second stage strata.
In the urban blocks a different method was used for arranging the households for selection. This involved the identification means of livelihood of households as any one of a) self-employed, b) regular salaried/wage earnings, c) casual labour, d) others. Further the average household monthly per capita consumer expenditure (mpce) was also ascertained. All households with MPCE of (i) Rs. 1200/- or more (in towns with population less than 10 lakhs or (ii) Rs. 1500/- or more (in towns with population 10 lakh or more) formed second-stage stratum 1 and the rest, second-stage stratum 2.The households of second-stage stratum 2 were arranged according to means of livelihood class and MPCE ranges before selection of sample households. A total of 10 households were selected from each sample block as follows (i) For affluent strata/classes : 4 households from second- stage stratum 1 and 6 households from second-stage stratum 2 (ii) For other strata/classes : 2 households from second-stage stratum 1 and 8 from second-stage stratum 2. Households were then selected circular systematically with a random start.
Shortfall in the required number of household in any second-stage stratum was made up by increasing the quota for the other second stage stratum.
A total of 7284 sample villages (Rural) and 4792 sample blocks (Urban) were allotted in central sample. 6983 sample villages and 470 sample blocks were successfully surveyed covering 356351 persons in sample villages and 208389 persons in sample blocks.
There was no deviation from the original sampling design.
Face-to-face [f2f]
Summary description of the schedule 1.0 on consumer expenditure for NSS 50th round consisted of 14 blocks is given below.
Blocks 0, 1 and 2 - identification of sample households and particulars of field operations. Blocks 3.1 and 3.2 - Household Characteristics. Block 3.3 - Particulars of goods and services received as pert of wages and salaries or perquisites and gifts given and gifts received by the household during the last 30 days Block 4 - Particulars of household members Block 5 - Cash purchase and consumption of food, pan, tobacco, intoxicants and fuel and light during the last 30 days Block 6.1 - Cash purchase and consumption of
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HCE: Monthly per Capita Consumer Expenditure: Average: Assam: Rural: Non Food: Conveyance data was reported at 38.090 INR in 2012. This records an increase from the previous number of 24.780 INR for 2010. HCE: Monthly per Capita Consumer Expenditure: Average: Assam: Rural: Non Food: Conveyance data is updated yearly, averaging 24.780 INR from Jun 2005 (Median) to 2012, with 3 observations. The data reached an all-time high of 38.090 INR in 2012 and a record low of 10.680 INR in 2005. HCE: Monthly per Capita Consumer Expenditure: Average: Assam: Rural: Non Food: Conveyance data remains active status in CEIC and is reported by Ministry of Statistics and Programme Implementation. The data is categorized under India Premium Database’s Domestic Trade and Household Survey – Table IN.HB024: HCES: Uniform Reference Period (URP): Average Monthly Per Capita Consumption Expenditure (MPCE): by Item Group: Assam: Rural (Discontinued).
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TwitterThe National Sample Survey Organisation (NSSO) was set up by the Government of India in 1950 to collect socio-economic data employing scientific sampling methods. Surveys are conducted through household interviews, using a random sample of households covering practically the entire geographical area of the country. Household consumer expenditure is measured as the expenditure incurred by a household on domestic account during a specified period, called reference period. It includes the imputed values of goods and services, which are not purchased but procured otherwise for consumption. In other words, it is the sum total of monetary values of all the items (i.e. goods and services) consumed by the household on domestic account during the reference period. The imputed rent of owner-occupied houses is excluded from consumption expenditure. Any expenditure incurred towards the productive enterprises of the households is also excluded from household consumer expenditure.
The survey covered the whole of the Indian Union except:
(i) Leh (Ladakh) and Kargil districts of Jammu & Kashmir (central sample) (ii) interior villages of Nagaland situated beyond five kilometres of the bus route (iii) villages in Andaman and Nicobar Islands which remain inaccessible throughout the year
-Households -Individuals
Sample survey data [ssd]
Two sampling frameswere used for the 63rd round survey: List frame and Area frame.
List frame: A list of 1000 service sector companies distributed all over India has been used as list frame. The list of financial sector enterprises was supplied by RBI. For the other service sector enterprises the list was supplied by the Ministry of Company Affairs. For all the companies in the list frame, information was collected considering all the branch offices. A combined schedule 2.345 was filled up for the list frame companies covering all the branches.
Area Frame: A stratified multi-stage design was adopted for the 63rd round survey. The First Stage Units (FSU) were the 2001 census villages in the rural sector and Urban Frame Survey (UFS) blocks in the urban sector. In addition, for the newly declared towns and out growths (OGs) in census 2001 for which UFS has not yet been done, a separate list has been prepared and this list was used as a frame for such towns and OGs in urban sector. For these towns and OGs the whole town/ OG was considered as FSU. The ultimate stage units (USU) were households/ service sector enterprises, in both the sectors. In the case of large villages/ towns/ blocks requiring hamlet-group (hg)/ sub-block (sb) formation, one intermediate stage was the selection of hgs/ sbs from each FSU.
For a detailed description of sampling, refer to the file titled "Note on Sample Design and Estimation Procedure" that is provided as an external resource.
Face-to-face [f2f]
Summary description of the schedule 1.0 on consumer expenditure is given below.
Blocks 0, 1 and 2: Similar to the ones used in usual NSS rounds. These are used to record identification of sample households and particulars of field operations. Block 3: Household characteristics like, household size, principal industry-occupation, social group, land possessed and cultivated, type of dwelling etc. are recorded in this block. Block 4: In this Block the detailed demographic particulars including age, sex, educational level, marital status, number of meals usually taken in a day etc. are recorded. Block 5: In this block cash purchase and consumption of food, pan, tobacco and intoxicants during the last 30 days are recorded. Block 6: In this block consumption of fuel & light during the last 30 days is recorded. Block 7: Consumption of clothing, bedding, etc. during the last 365 days is recorded in this block. Block 8 : Consumption of footwear during the last 365 days is recorded in this block. Block 9 : Expenditure on education and medical (institutional) goods and services during the last 365 days is recorded in Block 9. Block 10 : Expenditure on miscellaneous goods and services including medical (non-institutional), rents and taxes during the last 30 days has been recorded in this block. Block 11 : Expenditure for purchase and construction (including repair and maintenance) of durable goods for domestic use during the last 365 days has been recorded in this block.
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HCE: Number of Sample Households Reporting Consumption: Manipur: Rural: Food: Salt data was reported at 1,360.000 Unit in 2012. This records a decrease from the previous number of 1,368.000 Unit for 2010. HCE: Number of Sample Households Reporting Consumption: Manipur: Rural: Food: Salt data is updated yearly, averaging 1,364.000 Unit from Jun 1994 (Median) to 2012, with 4 observations. The data reached an all-time high of 2,173.000 Unit in 2005 and a record low of 998.000 Unit in 1994. HCE: Number of Sample Households Reporting Consumption: Manipur: Rural: Food: Salt data remains active status in CEIC and is reported by Ministry of Statistics and Programme Implementation. The data is categorized under India Premium Database’s Domestic Trade and Household Survey – Table IN.HB058: HCES: Uniform Reference Period (URP): Average Monthly Per Capita Consumption Expenditure (MPCE): by Item Group: Manipur: Rural (Discontinued).
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HCE: Monthly per Capita Consumer Expenditure: Average: Uttar Pradesh: Rural data was reported at 1,046.810 INR in 2012. This records an increase from the previous number of 828.670 INR for 2010. HCE: Monthly per Capita Consumer Expenditure: Average: Uttar Pradesh: Rural data is updated yearly, averaging 532.630 INR from Jun 1994 (Median) to 2012, with 4 observations. The data reached an all-time high of 1,046.810 INR in 2012 and a record low of 273.830 INR in 1994. HCE: Monthly per Capita Consumer Expenditure: Average: Uttar Pradesh: Rural data remains active status in CEIC and is reported by Ministry of Statistics and Programme Implementation. The data is categorized under India Premium Database’s Domestic Trade and Household Survey – Table IN.HB: HCES: Uniform Reference Period (URP): Average Monthly Per Capita Consumption Expenditure (MPCE): by Item Group: Uttar Pradesh: Rural (Discontinued).
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HCE: Monthly per Capita Consumer Expenditure: Average: India: Urban data was reported at 2,399.240 INR in 2012. This records an increase from the previous number of 1,785.810 INR for 2010. HCE: Monthly per Capita Consumer Expenditure: Average: India: Urban data is updated yearly, averaging 755.200 INR from Jun 1978 (Median) to 2012, with 6 observations. The data reached an all-time high of 2,399.240 INR in 2012 and a record low of 96.150 INR in 1978. HCE: Monthly per Capita Consumer Expenditure: Average: India: Urban data remains active status in CEIC and is reported by Ministry of Statistics and Programme Implementation. The data is categorized under India Premium Database’s Domestic Trade and Household Survey – Table IN.HB017: HCES: Uniform Reference Period (URP): Average Monthly Per Capita Consumption Expenditure (MPCE): by Item Group: Urban (Discontinued).
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TwitterThe 62nd round survey is the seventeenth in the annual series of surveys of household consumer expenditure. The National Sample Survey Office (NSSO) conducts regular consumer expenditure surveys as part of its "rounds," each round being normally of a year's duration and covering more than one subject of study. The surveys are conducted through household interviews, using a random sample of households covering practically the entire geographical area of the country. Surveys on consumer expenditure are conducted quinquennially on a large sample of households from the 27th round (October 1972 - September 1973) onwards. Apart from these quinquennial surveys, the NSSO has been collecting information on consumer expenditure from a smaller sample of households since 42nd round (July 1986 - June 1987). Household consumer expenditure is measured as the expenditure incurred by a household on domestic account during a specified period called reference period. It includes the imputed values of goods and services, which are not purchased but procured otherwise for consumption. In other words, it is the sum total of monetary values of all the items (i.e. goods and services) consumed by the household on domestic account during the reference period. The imputed rent of owner-occupied houses is excluded from consumption expenditure. Any expenditure incurred towards the productive enterprises of the households is also excluded from household consumer expenditure.
The survey covers the whole of the Indian Union except:
(i) Leh (Ladakh), Kargil, Punch and Rajauri districts of Jammu & Kashmir
(ii) interior villages of Nagaland situated beyond five kilometres of a bus route
(iii) villages in Andaman and Nicobar Islands which remain inaccessible throughout the year
-Households -Individuals
Sample survey data [ssd]
Sample Design: A stratified multi-stage design was adopted for the 62nd round survey. The First Stage Units (FSU) were the 2001 census villages in the rural sector and Urban Frame Survey (UFS) blocks in the urban sector. The Ultimate Stage Units (USU) were households in both the sectors. In the case of large villages/ blocks requiring hamlet-group (hg)/ sub-block (sb) formation, one intermediate stage was the selection of two hgs/ sbs from each FSU.
Sampling frame: The list of villages as per census 2001 was used as frame for the rural sector and the latest available list of Urban Frame Survey (UFS) blocks was used as frame in the urban sector.
Stratification: Within each district of a State/ UT, two basic strata were formed: (i) Rural stratum comprising of all rural areas of the district (ii) Urban stratum comprising of all the urban areas of the district. However, if there were one or more towns with population 10 lakhs or more as per population census 2001 in a district, each of them also formed a separate basic stratum and the remaining urban areas of the district was considered as another basic stratum. There are 27 towns with population 10 lakhs or more at all-India level as per census 2001.
For more detailed description of the sampling procedure, refer to the file titled "Introduction: Concepts, Definitions and Procedures " that is provided as an external resource.
The survey period of this 62nd round was divided into four sub-rounds of three months' duration each to spread the survey workload uniformly. Because of the arduous field conditions, sub-round restriction was not strictly enforced in Andaman and Nicobar Islands, Lakshadweep, rural areas of Arunachal Pradesh and Nagaland.
Face-to-face [f2f]
Schedule 1.0 on consumer expenditure for NSS 62nd round consisted of 12 blocks that are listed below.
Blocks 0, 1 and 2: Similar to the ones used in usual NSS rounds. These were used to record identification of sample households and particulars of field operations. Block 3: Household characteristics. Block 4: Particulars of household members. Block 5: Cash purchase and consumption of food, pan, tobacco and intoxicants during the last 30 days. Block 6: Consumption of fuel & light during the last 30 days. Block 7: Consumption of clothing, bedding, etc. during the last 365 days. Block 8 : Consumption of footwear during the last 365 days. Block 9 : Expenditure on education and medical (institutional) goods and services during the last 365 days. Block 10 : Expenditure on miscellaneous goods and services including medical (non-institutional), rents and taxes during the last 30 days. Block 11 : Expenditure for purchase and construction (including repair and maintenance) of durable goods for domestic use during the last 365 days. Block 12: Summary of consumer expenditure.
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HCE: Number of Households Reporting Consumption: Per 1000 Households: Uttar Pradesh: Rural: Non Food: Medical: Non Institutional data was reported at 889.000 Unit in 2012. This records an increase from the previous number of 815.000 Unit for 2010. HCE: Number of Households Reporting Consumption: Per 1000 Households: Uttar Pradesh: Rural: Non Food: Medical: Non Institutional data is updated yearly, averaging 815.000 Unit from Jun 2005 (Median) to 2012, with 3 observations. The data reached an all-time high of 889.000 Unit in 2012 and a record low of 793.000 Unit in 2005. HCE: Number of Households Reporting Consumption: Per 1000 Households: Uttar Pradesh: Rural: Non Food: Medical: Non Institutional data remains active status in CEIC and is reported by Ministry of Statistics and Programme Implementation. The data is categorized under India Premium Database’s Domestic Trade and Household Survey – Table IN.HB082: HCES: Uniform Reference Period (URP): Average Monthly Per Capita Consumption Expenditure (MPCE): by Item Group: Uttar Pradesh: Rural (Discontinued).
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Indices are created by consolidating multidimensional data into a single representative measure known as an index, using a fundamental mathematical model. Most present indices are essentially the averages or weighted averages of the variables under study, ignoring multicollinearity among the variables, with the exception of the existing Ordinary Least Squares (OLS) estimator based OLS-PCA index methodology. Many existing surveys adopt survey designs that incorporate survey weights, aiming to obtain a representative sample of the population while minimizing costs. Survey weights play a crucial role in addressing the unequal probabilities of selection inherent in complex survey designs, ensuring accurate and representative estimates of population parameters. However, the existing OLS-PCA based index methodology is designed for simple random sampling and is incapable of incorporating survey weights, leading to biased estimates and erroneous rankings that can result in flawed inferences and conclusions for survey data. To address this limitation, we propose a novel Survey Weighted PCA (SW-PCA) based Index methodology, tailored for survey-weighted data. SW-PCA incorporates survey weights, facilitating the development of unbiased and efficient composite indices, improving the quality and validity of survey-based research. Simulation studies demonstrate that the SW-PCA based index outperforms the OLS-PCA based index that neglects survey weights, indicating its higher efficiency. To validate the methodology, we applied it to a Household Consumer Expenditure Survey (HCES), NSS 68th Round survey data to construct a Food Consumption Index for different states of India. The result was significant improvements in state rankings when survey weights were considered. In conclusion, this study highlights the crucial importance of incorporating survey weights in index construction from complex survey data. The SW-PCA based Index provides a valuable solution, enhancing the accuracy and reliability of survey-based research, ultimately contributing to more informed decision-making.
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HCE: No of Households Reporting Consumption: Per 1000 Households: Uttar Pradesh: Urban: Food data was reported at 999.000 Unit in 2012. This records a decrease from the previous number of 1,000.000 Unit for 2010. HCE: No of Households Reporting Consumption: Per 1000 Households: Uttar Pradesh: Urban: Food data is updated yearly, averaging 1,000.000 Unit from Jun 2005 (Median) to 2012, with 3 observations. The data reached an all-time high of 1,000.000 Unit in 2010 and a record low of 999.000 Unit in 2012. HCE: No of Households Reporting Consumption: Per 1000 Households: Uttar Pradesh: Urban: Food data remains active status in CEIC and is reported by Ministry of Statistics and Programme Implementation. The data is categorized under India Premium Database’s Domestic Trade and Household Survey – Table IN.HB083: HCES: Uniform Reference Period (URP): Average Monthly Per Capita Consumption Expenditure (MPCE): by Item Group: Uttar Pradesh: Urban (Discontinued).
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HCE: No of Households Reporting Consumption: Per 1000 Households: Uttarakhand: Urban: Food: Pulses and Pulses Products data was reported at 954.000 Unit in 2012. This records a decrease from the previous number of 978.000 Unit for 2010. HCE: No of Households Reporting Consumption: Per 1000 Households: Uttarakhand: Urban: Food: Pulses and Pulses Products data is updated yearly, averaging 954.000 Unit from Jun 2005 (Median) to 2012, with 3 observations. The data reached an all-time high of 978.000 Unit in 2010 and a record low of 954.000 Unit in 2012. HCE: No of Households Reporting Consumption: Per 1000 Households: Uttarakhand: Urban: Food: Pulses and Pulses Products data remains active status in CEIC and is reported by National Sample Survey Organisation. The data is categorized under India Premium Database’s Domestic Trade and Household Survey – Table IN.HB071: Household Consumer Expenditure: Uttarakhand: Urban.
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TwitterThe National Sample Surveys (NSS) are being conducted by the Government of India since 1950 to collect socio-economic data employing scientific sampling methods. The Household Consumption Expenditure Survey (HCES) is designed to collect information on consumption of goods and services by the households. Information collected in HCES is used for analyzing and understanding the consumption and expenditure pattern, standard of living and well-being of the households. Besides, the data of the survey provides budget shares of different commodity groups that is used for preparation of the weighting diagram for compilation of official Consumer Price Indices (CPIs). The data collected in HCES is also utilized for deriving various other macroeconomic indicators.
The survey covers the whole of the Indian Union except the villages in Andaman and Nicobar Islands which are difficult to access. Total 15016 FSUs was surveyed for the central sample at all-India level.
Households and Individuals
Sample survey data [ssd]
A multistage stratified sampling design, considering villages/urban blocks as the first stage units has been used in the survey. The households are the ultimate stage units. Simple Random Sampling Without Replacement (SRSWOR) method is used for selecting the samples.
In order to ensure proper representation of households of different economic categories, all the households of a selected village/urban block are classified into three groups depending on a criterion based on (i) land possessed in rural areas and (ii) possession of car in urban areas as on the date of the survey. A total of 18 households with proportional representation from the three groups have been selected.
Note: The details of survey methodology and estimation procedure are provided in Appendix B of the survey report “Survey on Household Consumption Expenditure: 2022-23”.
Face-to-face [f2f]
In the HCES 2022–23, the consumption basket was categorized into three broad groups: (i) Food items, (ii) Consumables and Services, and (iii) Durable Goods. Based on this classification, three separate questionnaires were developed: the Food Questionnaire (FDQ), the Consumables and Services Questionnaire (CSQ), and the Durable Goods Questionnaire (DGQ). These were administered to selected households across three consecutive monthly visits, with each visit focusing on a different category.
Additionally, a separate Household Characteristics Questionnaire (HCQ) was used to collect demographic and other background information about the household members.
To minimize any potential bias from the order of questionnaire administration, the survey employed all six possible sequences of the three main questionnaires:
(FDQ, CSQ, DGQ)
(FDQ, DGQ, CSQ)
(CSQ, FDQ, DGQ)
(CSQ, DGQ, FDQ)
(DGQ, FDQ, CSQ)
(DGQ, CSQ, FDQ)
This approach ensured that no particular sequencing influenced the results.