The National Sample Survey contains a variety of socio-economic data for India and is collected by the Ministry of Statistics and Programme Implementation for planning and policy formulation. The National Sample Survey Office (NSSO) conducts the Socio-Economic (SE) Surveys, nationwide sample surveys relating to various socio-economic topics. Surveys are conducted in the form of Rounds, each Round being normally of one-year duration and occasionally for a period of six months.The National Sample Survey website provides further information about the survey, coverages and methodology.

India had a higher percentage of disabled men than disabled women in both urban and rural areas according to the 76th round of the NSO survey conducted between July and December 2018. Regionally, results showed a higher presence of disability among the rural population in the country. The National Statistical Office (NSO) is the statistical wing of the Ministry of Statistics and Programme Implementation (MOSPI), mainly responsible for laying down standards for statistical analysis, data collection, and implementation.

Abstract

Time Use Survey (TUS) provides a framework for measuring time dispositions by the population on different activities. One distinguishing feature of Time Use Survey from other household surveys is that it can capture time disposition on different aspects of human activities, be it paid, unpaid or other activities with such details which is otherwise not possible in other surveys. In recent years, time use surveys have gained much impetus among policy makers and other data users for their usefulness in measuring various aspects of gender statistics. National Sample Survey Office (NSSO) in India conducted the first Time Use Survey during January - December 2019. The second Time Use Survey will be conducted during January -December 2024.

Objective of the survey

The primary objective of Time Use Survey (TUS) is to measure participation of persons in paid and unpaid activities. The survey will be an important source of information on the time spent in unpaid caregiving activities, unpaid volunteer work, unpaid domestic service producing activities of the household members. This will also provide information on time spent on learning, socializing, leisure activities, self-care activities, etc. by the household members.

Geographic coverage

The survey covers whole of the Indian Union except the villages in Andaman and Nicobar Islands which are difficult to access.

Analysis unit

Unit of survey: The first stage unit (FSU) is the village/UFS block/SU depending on the sampling frame.

Sampling procedure

In Time Use Survey (TUS), a rural village was notionally divided into a number of subunits (SU) of more or less equal population during the preparation of frame. Census 2011 population of villages was projected by applying suitable growth rates and the number of SUs formed in a village was determined apriori. The above procedure of SU formation was implemented in the villages with population more than or equal to 1000 as per Census 2011. In the remaining villages, no SU was formed. SUs were formed in urban sector also. The procedure was similar to that adopted in rural areas except that SUs were formed on the basis of households in the Urban Frame Survey (UFS) frame instead of population, since UFS frame does not have population. Each UFS block with number of households more than or equal to 250 was divided into a number of SUs. In the remaining UFS blocks, no SU was formed.

A stratified two stage design was adopted for the TUS. The first stage units (FSU) were villages/UFS blocks/sub-units (SUs) as per the situation. The ultimate stage units (USU) were households in both the sectors.

In the rural areas, stratification was made as follows: (a) all inhabited villages within each NSS State region constituted a rural stratum and (b) a special stratum, in the rural areas only, was formed at all-India level before the strata are formed in each State/UT. This stratum comprised all the uninhabited villages as per Census 2011 belonging to allStates/U Ts. In urban areas strata were formed within each NSS State region on the basis of size class of towns as per Census 2011.

Sub-Stratification in rural areas: In rural areas, three groups of villages were formed within each stratum (except special rural stratum) as follows: Group 1: all villages (Panchayat wards for Kerala) with Census 2011 population less than 250 Group 2: all villages (Panchayat wards for Kerala) with Census 2011 population more than or equal to 250 but less than 500 Group 3: remaining villages

The sample size for a rural stratum was allocated among 3 groups in proportion to Census population. Sub-strata was demarcated in Group 1, Group 2 and Group 3 respectively in such a way that each sub-stratum comprises a group of villages (all SUs of a village considered together) of the arranged frame and have more or less equal Census population within the respective group.

Sub-Stratification in urban areas: Sub-strata were demarcated in such a way that each sub-stratum comprised a group of UFS blocks (all SUs within the block taken together)having more or less equal number of households.

Mode of data collection

Face-to-face [f2f]

According to the 76th round of the NSO survey conducted between July and December 2018, a higher percentage of disabled males was present in rural Uttar Pradesh at 2.8 percent. In general, results showed a higher presence of multiple disabilities in the country. The National Statistical Office (NSO) is the statistical wing of the Ministry of Statistics and Programme Implementation (MOSPI), mainly responsible for laying down standards for statistical analysis, data collection, and implementation.

Abstract

The Annual Survey of Industries (ASI) is the principal source of industrial statistics in India. It provides statistical information to assess changes in the growth, composition and structure of organised manufacturing sector comprising activities related to manufacturing processes, repair services, gas and water supply and cold storage. The Survey is conducted annually under the statutory provisions of the Collection of Statistics Act 1953, and the Rules framed there-under in 1959, except in the State of Jammu & Kashmir where it is conducted under the State Collection of Statistics Act, 1961 and the rules framed there-under in 1964.

Geographic coverage

The ASI extends to the entire country

Analysis unit

The primary unit of enumeration in the survey is a factory in the case of manufacturing industries, a workshop in the case of repair services, an undertaking or a licensee in the case of electricity, gas & water supply undertakings and an establishment in the case of bidi & cigar industries. The owner of two or more establishments located in the same State and pertaining to the same industry group and belonging to census scheme is, however, permitted to furnish a single consolidated return. Such consolidated returns are common feature in the case of bidi and cigar establishments, electricity and certain public sector undertakings.

Universe

The ASI covers all factories registered under Sections 2m(i) and 2m(ii) of the Factories Act, 1948 i.e. those factories employing 10 or more workers using power; and those employing 20 or more workers without using power. The survey also covers bidi and cigar manufacturing establishments registered under the Bidi & Cigar Workers (Conditions of Employment) Act, 1966 with coverage as above. All electricity undertakings engaged in generation, transmission and distribution of electricity registered with the Central Electricity Authority (CEA) were covered under ASI irrespective of their employment size. Certain servicing units and activities like water supply, cold storage, repairing of motor vehicles and other consumer durables like watches etc. are covered under the Survey. Though servicing industries like motion picture production, personal services like laundry services, job dyeing, etc. are covered under the Survey but data are not tabulated, as these industries do not fall under the scope of industrial sector defined by the United Nations. Defence establishments, oil storage and distribution depots, restaurants, hotels, café and computer services and the technical training institutes, etc. are excluded from the purview of the Survey.

From ASI 1998-99, the electricity units registered with the CEA and the departmental units such as railway workshops, RTC workshops, Govt. Mints, sanitary, water supply, gas storage etc. are not covered, as there are alternative sources of their data compilation for the GDP estimates by the National Accounts Division of CSO.

Kind of data

Sample survey data [ssd]

Sampling procedure

Sampling design adopted for ASI 2005-06:

i) Units with 100 or more workers will be categorized as census sector and the rest of the units will be treated as sample sector, without any change in the existing criteria; ii) In the sample sector, the units will be stratified at 4 digit level of NIC-04 in each State separately and 1/5th of the units in each strata will be selected circular systematically for coverage in each ASI subject to a minimum sample size of 6 units in each stratum; iii) This design will ensure that the whole universe of units is covered in five years; iv) The classification of the units in the frame into census and sample sectors should be done in the beginning of the 5-year cycle and it should not be disturbed during the course of the cycle; v) At the end of the cycle when the data on the all the units in the frame become available the frame should be updated and then the composition of census and sample sector should be re-drafted; vi) In respect of the new units getting registered each year of the last 4 years in the 5-year cycle, a supplementary frame has to be prepared for each year and units for coverage from this supplementary frame of each year may be selected using the same criteria as was applied to the main frame.

Sampling deviation

The sampling design has undergone changes in the past on several occasions.

Cleaning operations

Data submitted by the factories undergo manual scrutiny at different stages.

1) They are verified by field staff of NSSO from factory records.

2) Verified returns are manually scrutinized by senior level staff before sending to data processing centre.

3) At the data processing centre these are scrutinized before data entry.

4) The entered data are subjected to computer editing and corrections.

5) Tabulated data are checked for anomalies and consistency with previous results.

The National Statistical Office (NSO), Ministry of Statistics and Programme Implementation (MoSPI) is releasing All India Consumer Price Index (CPI) on Base 2012=100 and corresponding Consumer Food Price Index (CFPI) for Rural (R), Urban (U) and Combined (C) for the month of February 2024 (Provisional) in this press note. CPIs for Sub-Groups and Groups for both All India and all States/UTs are also being released. The price data are collected from selected 1114 urban Markets and 1181 villages covering all States/UTs through personal visits by field staff of Field Operations Division of NSO, MoSPI on a weekly roster. During the month of February 2024, NSO collected prices from 100.0% villages and 98.5% urban markets while the market-wise prices reported therein were 90.3% for rural and 92.7% for urban.

According to the 76th round of the NSO survey conducted between July and December 2018, a higher percentage of disabled women were present in urban areas of Punjab. The northern Indian state had an equal share of men and women with disability at 3.1 percent in rural areas. The National Statistical Office (NSO) is the statistical wing of the Ministry of Statistics and Programme Implementation (MOSPI), mainly responsible for laying down standards for statistical analysis, data collection, and implementation.

India Net National Product data was reported at 11,359,470.000 INR mn in 1997. This records an increase from the previous number of 9,938,940.000 INR mn for 1996. India Net National Product data is updated yearly, averaging 574,150.000 INR mn from Mar 1951 (Median) to 1997, with 47 observations. The data reached an all-time high of 11,359,470.000 INR mn in 1997 and a record low of 87,020.000 INR mn in 1956. India Net National Product data remains active status in CEIC and is reported by Central Statistics Office. The data is categorized under Global Database’s India – Table IN.AA021: NAS 1980-1981: Gross Domestic Product: by Expenditure and Income: Current Price. Rebased from 1980-1981 base to 1993-1994 base. Replacement series ID: 18892701

Abstract

The Central Statistical Organization (CSO) conducted fifth Economic Census in 2005 in all the States/UTs in collaboration with State Directorates of Economics and Statistics. The first Economic Census was conducted in 1977 covering only non- agricultural establishments and the three Economic Censuses subsequently carried out in 1980, 1990 and 1998 covered all agricultural and non-agricultural enterprises excepting those engaged in crop production and plantation. There was no change in the coverage of the fifth Economic Census as compared to the fourth Economic Census. Economic Census not only provides updated frame for detailed follow-up surveys but also gives basic entrepreneurial data for planning and development specially for unorganized sector of the economy.

There are certain new features in the fifth Economic Census. Addresses of the enterprises employing 10 workers or more were collected for the first time in the fifth Economic Census through Address Slip. At present the country does not maintain a Business Register. The directory of enterprises to be generated from the Address Slip would be the basic input for preparation of a Business Register. For the first time, data collected in the fifth Economic Census are processed through Intelligent Character Recognition (ICR) Technology.

The results of EC-2005 "ALL INDIA REPORT" contains the all India figures on the number of enterprises and their employment, cross-classified according to their locations, major activity groups, type of the establishments, size-class of the employment, etc. The disaggregated data for States/UTs are also included in the report.

Geographic coverage

All the States/UTs. in the country

Analysis unit

Establishment

Universe

Economic Census (EC) is the complete count of all entrepreneurial units located within the geographical boundaries of the country. All units engaged in the production or distribution of goods or services other than for the sole purpose of own consumption are counted. While all units engaged in nonagricultural activities are covered, in the agricultural sector units in crop production and plantation activities are excluded.

Kind of data

Census/enumeration data [cen]

Mode of data collection

Face-to-face [f2f]

Research instrument

All questionaires are provided as external resources

Cleaning operations

Intelligent Character Recognition (ICR) technology, which is also known as Automated Forms Processing, was used to process the EC-2005 data. Automated Forms Processing technology enables the user to process documents from their images or directly from paper and convert them to computer readable data.

The schedules of the Fifth EC were scanned/digitized at the fifteen regional Data Processing Centres of Registrar General of India (RGI). After running the edit programme, the error list files were handed over to the State Governments for corrections. The DES officials of the State Government corrected the error files in two/three cycles and then sent the data files to RGI Headquarters to give final touch before sending to Computer Centre, MOSPI. The data files were made further error free by applying auto corrections at the Computer Centre.

According to the 76th round of the NSO survey conducted between July and December 2018, a higher percentage of disabled men than disabled women were present. In 2018, the western state of Maharashtra had the highest share of men with disability in it's rural areas at three percent. The National Statistical Office (NSO) is the statistical wing of the Ministry of Statistics and Programme Implementation (MOSPI), mainly responsible for laying down standards for statistical analysis, data collection, and implementation.

this graph was created in PowerBi,Tableau and Loocker Studio :

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ntroduction

The National Sample Survey (NSS) Multi Indicator Survey (MIS) 78th Round (2020-21) is a comprehensive dataset that provides key socio-economic insights about Kolkata and other regions of India. Conducted by the National Statistical Office (NSO), Ministry of Statistics and Programme Implementation (MoSPI), Government of India, this survey aimed to gather extensive data on multiple indicators, including education, health, employment, migration, consumption patterns, and digital access.

This document provides a detailed explanation of the Kolkata-specific findings of the NSS 78th Round, offering insights into various socio-economic dimensions of the city's population.

Objectives of the NSS 78th Round

The primary objectives of the 78th Round Multi Indicator Survey were:

To assess the education levels and literacy rates in Kolkata.

To understand household health conditions and access to healthcare facilities.

To analyze employment and labor force participation in urban settings.

To examine migration trends within and outside Kolkata.

To evaluate consumption patterns and expenditure levels.

To study digital access and usage among households.

Key Findings for Kolkata

1. Education and Literacy

The survey revealed that Kolkata maintains a high literacy rate, with a considerable percentage of its population having completed secondary and higher education.

A growing number of children are enrolled in private schools, though government schools still play a significant role.

Female literacy has shown an increasing trend, but disparities still exist in lower-income communities.

1. Health and Healthcare Access

Kolkata has a high hospital density, with most households reporting access to primary healthcare centers and hospitals.

The survey recorded a moderate prevalence of chronic diseases, including diabetes and hypertension, particularly among the elderly.

Public healthcare facilities are widely used, but there is significant reliance on private hospitals, especially for specialized treatments.

1. Employment and Labor Market

The workforce participation rate in Kolkata remains steady, with a majority engaged in the service sector, trade, and informal employment.

There has been a decline in manufacturing jobs, partly due to automation and industry shifts.

The gig economy and self-employment have seen a rise, reflecting national trends.

1. Migration Trends

Kolkata experiences both in-migration and out-migration, with many individuals moving to the city for employment and education.

The survey indicated that a large percentage of migrants come from rural West Bengal, Bihar, and Jharkhand.

Out-migration has been observed primarily among skilled professionals seeking opportunities in other metropolitan cities or abroad.

1. Consumption Patterns and Expenditure

The average household consumption expenditure in Kolkata is higher than the national average, reflecting its status as a major urban center.

Food consumption patterns indicate a preference for cereals, fish, and dairy products, with an increase in processed food consumption.

Housing and transportation form a significant portion of monthly expenses for urban residents.

1. Digital Access and Usage

The survey highlighted a strong penetration of digital connectivity, with most households having access to smartphones and the internet.

Digital literacy is improving, with increased use of online banking, e-commerce, and educational platforms.

However, a digital divide persists among lower-income groups and elderly populations.

Policy Implications

Based on the survey findings, the following policy recommendations are suggested:

Enhancing educational infrastructure to bridge the literacy gap in underprivileged areas.

Strengthening public healthcare systems to reduce dependence on private hospitals.

Promoting employment generation programs and support for informal workers.

Affordable housing initiatives to address rising living costs in Kolkata.

Expanding digital literacy programs to bridge the digital divide.

Conclusion

The Kolkata-specific insights from the NSS 78th Round (2020-21) offer valuable data for policymakers, researchers, and urban planners. These findings provide a comprehensive picture of the city's socio-economic...

According to the 76th round of the NSO survey conducted between July and December 2018, a higher percentage of women had multiple disabilities compared to men, with a difference of 0.1 percent in Nagaland in India. The National Statistical Office (NSO) is the statistical wing of the Ministry of Statistics and Programme Implementation (MOSPI), mainly responsible for laying down standards for statistical analysis, data collection, and implementation.

According to the 76th round of the NSO survey conducted between July and December 2018, a higher percentage of disabled males was present in rural Odisha at 3.7 percent. The eastern Indian state had an equal share of men and women with disability at 2.8 percent in urban areas. The National Statistical Office (NSO) is the statistical wing of the Ministry of Statistics and Programme Implementation (MOSPI), mainly responsible for laying down standards for statistical analysis, data collection, and implementation.

According to the 76th round of the NSO survey conducted between July and December 2018, a higher percentage of disabled males was present in Rajasthan. The western Indian state had the highest share of males with disability at 2.6 percent in rural areas. The National Statistical Office (NSO) is the statistical wing of the Ministry of Statistics and Programme Implementation (MOSPI), mainly responsible for laying down standards for statistical analysis, data collection, and implementation.

India Government Expenditure: Year to Date: Ministry of Finance: Department of Economic Affairs: Capital data was reported at 3,770.400 INR mn in Aug 2018. This records an increase from the previous number of 142.400 INR mn for Jul 2018. India Government Expenditure: Year to Date: Ministry of Finance: Department of Economic Affairs: Capital data is updated monthly, averaging -29,799.500 INR mn from Apr 2017 (Median) to Aug 2018, with 17 observations. The data reached an all-time high of 3,770.400 INR mn in Aug 2018 and a record low of -68,103.700 INR mn in Jul 2017. India Government Expenditure: Year to Date: Ministry of Finance: Department of Economic Affairs: Capital data remains active status in CEIC and is reported by Controller General of Accounts. The data is categorized under India Premium Database’s Government and Public Finance – Table IN.FA005: Central Government Expenditure: Controller General of Accounts (CGA): by Ministry-wise.

Abstract

Introduction

The Annual Survey of Industries (ASI) is one of the large-scale sample survey conducted by Field Operation Division of National Sample Survey Office for more than three decades with the objective of collecting comprehensive information related to registered factories on annual basis. ASI is the primary source of data for facilitating systematic study of the structure of industries, analysis of various factors influencing industries in the country and creating a database for formulation of industrial policy.

The main objectives of the Annual Survey of Industries are briefly as follows: (a) Estimation of the contribution of manufacturing industries as a whole and of each unit to national income. (b) Systematic study of the structure of industry as a whole and of each type of industry and each unit. (c) Casual analysis of the various factors influencing industry in the country: and (d) Provision of comprehensive, factual and systematic basis for the formulation of policy.

The Annual Survey of Industries (ASI) is the principal source of industrial statistics in India. It provides statistical information to assess changes in the growth, composition and structure of organised manufacturing sector comprising activities related to manufacturing processes, repair services, gas and water supply and cold storage. The Survey is conducted annually under the statutory provisions of the Collection of Statistics Act 1953, and the Rules framed there-under in 1959, except in the State of Jammu & Kashmir where it is conducted under the State Collection of Statistics Act, 1961 and the rules framed there-under in 1964.

Geographic coverage

The ASI is the principal source of industrial statistics in India and extends to the entire country except Arunachal Pradesh, Mizoram & Sikkim and the Union Territory of Lakshadweep. It covers all factories registered under Sections 2m(i) and 2m(ii) of the Factories Act, 1948.

Analysis unit

The primary unit of enumeration in the survey is a factory in the case of manufacturing industries, a workshop in the case of repair services, an undertaking or a licensee in the case of electricity, gas & water supply undertakings and an establishment in the case of bidi & cigar industries. The owner of two or more establishments located in the same State and pertaining to the same industry group and belonging to same scheme (census or sample) is, however, permitted to furnish a single consolidated return. Such consolidated returns are common feature in the case of bidi and cigar establishments, electricity and certain public sector undertakings.

Universe

The survey cover factories registered under the Factory Act 1948. Establishments under the control of the Defence Ministry,oil storage and distribution units, restaurants and cafes and technical training institutions not producing anything for sale or exchange were kept outside the coverage of the ASI.

Kind of data

Census and Sample survey data [cen/ssd]

Sampling procedure

Sampling Procedure

The sampling design followed in ASI 1999-2000 is a Circular Systematic one. All the factories in the updated frame (universe) are divided into two sectors, viz., Census and Sample.

Census Sector: Census Sector is defined as follows:

a) All the complete enumeration States namely, Manipur, Meghalaya, Nagaland, Tripura and Andaman & Nicobar Islands. b) For the rest of the States/ UT's., (i) units having 100 or more workers, and (ii) all factories covered under Joint Returns.

Rest of the factories found in the frame constituted Sample sector on which sampling was done. Factories under Biri & Cigar sector were not considered uniformly under census sector. Factories under this sector were treated for inclusion in census sector as per definition above (i.e., more than 100 workers and/or joint returns). After identifying Census sector factories, rest of the factories were arranged in ascending order of States, NIC-98 (4 digit), number of workers and district and properly numbered. The Sampling fraction was taken as 12% within each stratum (State X Sector X 4-digit NIC) with a minimum of 8 samples except for the State of Gujarat where 9.5% sampling fraction was used. For the States of Jammu & Kashmir, Himachal Pradesh, Daman & Diu, Dadra & Nagar Haveli, Goa and Pondicherry, a minimum of 4 samples per stratum was selected. For the States of Bihar and Jharkhand, a minimum of 6 samples per stratum was selected. The entire sample was selected in the form of two independent sub-sample using Circular Systematic Sampling method.

Sampling deviation

There was no deviation from sample design in ASI 1999-2000.

Mode of data collection

Statutory return submitted by factories as well as Face to face

Research instrument

Annual Survey of Industries Questionnaire (in External Resources) is divided into different blocks:

BLOCK A.IDENTIFICATION PARTICULARS BLOCK B. PARTICULARS OF THE FACTORY (TO BE FILLED BY OWNER OF THE FACTORY) BLOCK C: FIXED ASSETS BLOCK D: WORKING CAPITAL & LOANS BLOCK E : EMPLOYMENT AND LABOUR COST BLOCK F : OTHER EXPENSES BLOCK G : OTHER INCOMES BLOCK H: INPUT ITEMS (indigenous items consumed) BLOCK I: INPUT ITEMS – directly imported items only (consumed) BLOCK J: PRODUCTS AND BY-PRODUCTS (manufactured by the unit)

Cleaning operations

Pre-data entry scrutiny was carried out on the schedules for inter and intra block consistency checks. Such editing was mostly manual, although some editing was automatic. But, for major inconsistencies, the schedules were referred back to NSSO (FOD) for clarifications/modifications.

Validation checks are carried out on data files. Code list, State code list, Tabulation program and ASICC code are may be refered in the External Resources which are used for editing and data processing as well..

B. Tabulation procedure The tabulation procedure by CSO(ISW) includes both the ASI 1999-00 data and the extracted data from ASI 98-99 for all tabulation purpose. For extracted returns, status of unit (Block A, Item 12) would be in the range 17 to 20. To make results comparable, users are requested to follow the same procedure. For calculation of various parameters, users are requested to refer instruction manual/report. Please note that a separate inflation factor (Multiplier) is available for each unit against records belonging to Block-A ,pos:54-62 (Please refer STRUC00.XLS) for ASI 99-00 data. The multiplier is calculated for each stratum (i.e. State X NIC'98(4 Digit)) after adjusting for non-response cases.

C. Merging of unit level data As per existing policy to merge unit level data at ultimate digit level of NIC'98 (i.e., 5 digit) for the purpose of dissemination, the data have been merged for industries having less than three units within State, District and NIC'98(5 Digit) with the adjoining industries within district and then to adjoining districts within a state. There may be some NIC'98(5 Digit) ending with '9' which do not figure in the book of NIC '98. These may be treated as 'Others' under the corresponding 4-digit group. To suppress the identity of factories data fields corresponding to PSL number, Industry code as per Frame (4-digit level of NIC-98) and RO/SRO code have been filled with '9' in each record.

It may please be noted that, tables generated from the merged data may not tally with the published results for few industries, since the merging for published data has been done at aggregate-level to minimise loss of information.

G. Record Identification Key Record identification key for each factory is Despatch Serial No. (DSL, pos: 4-8) X Block code (Blk, pos: 3). Please refer STRUC00.XLS for item level identification key for each unit.

Sampling error estimates

Relative Standard Error (RSE) is calculated in terms of worker, wages to worker and GVA using the formula (Pl ease refer to Estimation Procedure document in external resources). Programs developed in Visual Faxpro are used to compute the RSE of estimates.

Data appraisal

To check for consistency and reliability of data the same are compared with the NIC-2digit level growth rate at all India Index of Production (IIP) and the growth rates obtained from the National Accounts Statistics at current and constant prices for the registered manufacturing sector.

According to the 76th round of the NSO survey conducted between July and December 2018, a higher percentage of men had disabilities compared to women in India. Among the various types of disabilities, about 2.4 percent of men had multiple disabilities whereas only about 1.9 percent of women had the same. The National Statistical Office (NSO) is the statistical wing of the Ministry of Statistics and Programme Implementation (MOSPI), mainly responsible for laying down standards for statistical analysis, data collection, and implementation.

According to the 76th round of the NSO survey conducted between July and December 2018, a higher percentage of disabled males was present in Chandigarh. This union territory of India had an equal share of men and women with disability at 1.1 percent each in urban areas. The National Statistical Office (NSO) is the statistical wing of the Ministry of Statistics and Programme Implementation (MOSPI), mainly responsible for laying down standards for statistical analysis, data collection, and implementation.

Abstract

The 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.

Geographic coverage

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.

Analysis unit

Households and Individuals

Kind of data

Sample survey data [ssd]

Sampling procedure

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”.

Mode of data collection

Face-to-face [f2f]

Research instrument

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.

India Employment: Public Sector: Central Quasi Government data was reported at 3,449.000 Person th in 2012. This records a decrease from the previous number of 3,454.000 Person th for 2011. India Employment: Public Sector: Central Quasi Government data is updated yearly, averaging 3,453.000 Person th from Mar 1984 (Median) to 2012, with 29 observations. The data reached an all-time high of 3,592.000 Person th in 1993 and a record low of 3,158.000 Person th in 1984. India Employment: Public Sector: Central Quasi Government data remains active status in CEIC and is reported by Central Statistics Office. The data is categorized under Global Database’s India – Table IN.GBA001: Employment.