Quarter-wise and annual data of India's Gross Value Added (GVA) from Public Administration, Defence & Other Services. The dataset includes time series values for real and nominal Gross Value Added (GVA) from Public Administration, Defence & Other Services, based on official releases by the Ministry of Statistics & Programme Implementation (MoSPI). It also includes historical trends and interactive charts.

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.

Quarterly and annual data on India's GDP from the manufacturing sector, aggregated and published by ChartForest. The dataset includes time series values for real and nominal Gross Value Added (GVA) from manufacturing, based on official releases by the Ministry of Statistics & Programme Implementation (MoSPI).

Geographic coverage

National coverage

Analysis unit

households/individuals

Kind of data

survey

Frequency of data collection

Yearly

Sampling procedure

Sample size:

Abstract

The National Sample Survey Office (NSSO), Ministry of Statistics and Programme Implementation (MOSPI), Government of India, since its inception in 1950 has been conducting nationwide integrated large scale sample surveys, employing scientific sampling methods, to generate data and statistical indicators on diverse socio-economic aspects. In its 70th round of survey, conducted during the period 1st January, 2013 to 31st December, 2013, NSSO carried out a Situation Assessment Survey (SAS) of Agricultural Households.

The SAS 2013 (70th round) was conducted as a repeat of the SAS conducted in the 59th round, with the same aim of capturing the condition of agricultural households in the country in the context of policies and programme of the Government of India. The survey schedule was designed for collection of information on various aspects relating to farming and other socio-economic characteristics of agricultural households. Along with information on consumer expenditure, income and productive assets, their indebtedness, farming practices and preferences, resource availability, their awareness of technological developments and access to modern technology in the field of agriculture, information on crop loss, crop insurance and awareness about Minimum Support Price (MSP) was also collected during 70th round. The information was collected in two visits from the same set of sample households with a view to collect relevant information separately for the two major agricultural seasons in a year.

Geographic coverage

National Coverage

Analysis unit

Households

Universe

The universe of the survey include all household members.

Kind of data

Sample survey data [ssd]

Sampling procedure

A stratified multi-stage design has been adopted for the 70th round survey. The first stage units (FSU) are the census villages (Panchayat wards in case of Kerala) in the rural sector and Urban Frame Survey (UFS) blocks in the urban sector. The ultimate stage units (USU) are households in both the sectors. In case of large FSUs, one intermediate stage of sampling is the selection of two hamlet-groups (hgs)/ sub-blocks (sbs) from each rural/ urban FSU.

For the rural sector, the list of 2001 census villages updated by excluding the villages urbanised and including the towns de-urbanised after 2001 census (henceforth the term 'village' would mean Panchayat wards for Kerala) constitutes the sampling frame. For the urban sector, the latest updated list of UFS blocks (2007-12) is considered as the sampling frame.

A total number of 8042 FSUs were allocated for the central sample at all-India level. For the state sample, 8998 FSUs were allocated for all-India. A detailed description of the sampling strategy is given in the Note on Sample Design and Estimation Procedure of NSS 70th Round, attached in the documentation/external resource.

Mode of data collection

Face-to-face paper [f2f]

Monthly updated dataset showing India's national unemployment rate trends. Includes overall unemployment, rural and urban unemployment figures, based on data from Periodic Labour Force Survey (PLFS), Ministry of Statistics & Programme Implementation (MOSPI)

This dataset contains list of all the reports/publications published by MoSPI. It also has a column named valid_url which mentions whether the URLs of the reports are valid or not and in a separate column named missed_url, the dataset has actual URL which was missed. The datasets is last updated on May 2022

Quarterly Estimates of GDP at Current Prices (India, 2011–12 Series)

This dataset provides quarterly estimates of India’s Gross Domestic Product (GDP) at current prices, following the 2011–12 base year series, as released by the Ministry of Statistics and Programme Implementation (MoSPI), Government of India.It contains data from 2011–12 Q1 to 2022–23 Q4 and includes key macro-economic indicators and sectoral breakdowns.

  📘 Dataset Overview

Attribute… See the full description on the dataset page: https://huggingface.co/datasets/hmnshudhmn24/quarterly-gdp-estimates-india-2011-12-to-2022-23.

Quarter-wise and annual data of India's Gross Value Added (GVA) from Agriculture, Forestry & Fishing. The dataset includes time series values for real and nominal Gross Value Added (GVA) from Agriculture and Allied Sectors, based on official releases by the Ministry of Statistics & Programme Implementation (MoSPI). It also includes historical trends and interactive charts.

Geographic coverage

The ASI extends to the entire country except the States of Arunachal Pradesh, Mizoram, and Sikkim and Union Territory of Lakshadweep.

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.

Merging of unit level data

As per existing policy to merge unit level data at ultimate digit level of NIC'08 (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-08 (5 Digit) with the adjoining industries within district and then to adjoining districts within a state. There may be some NIC-08 (5 Digit) ending with '9' that do not figure in the book of NIC '08. 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-09) 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 the loss of information.

Universe

It 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.

Kind of data

Sample survey data [ssd]

Sampling procedure

Sample Design and Sample Allocation

There has not been any major change in the sampling strategy of ASI 2009-10 from that of ASI 2008-2009. The Census Sector has been defined as follows:

a) All industrial units belonging to the six less industrially developed states/ UT's viz. Manipur, Meghalaya, Nagaland, Sikkim, Tripura and Andaman & Nicobar Islands. b) For the rest of the twenty-six states/ UT's., (i) units having 100 or more workers, and (ii) all factories covered under Joint Returns.

Strata (State by 4-digit of NIC-04) having less than or equal to four units after selecting the Census Sector units as defined above are also selected as census sector.

From the remaining frame, samples were drawn considering a uniform sampling fraction of 19% for the states within a State X 4-digit NIC with a minimum of 4 units evenly distributed in two sub-samples. The size of the live frame containing units with status 'open', 'close' or 'non-operating' was 2, 08, 417. 23,782 of these units belonged to the census sector, while the remaining 1, 84,635 units were from sample sector. Total sample size for ASI 2009-10 was 61,080 (23,782 census and 37,298 sample).

Sampling deviation

There was no deviation from sample design in ASI 2009-10.

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.

Code list, State code list, Tabulation program and ASICC code are available in the External Resources..

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 Foxpro 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.

Quarter-wise and annual data of India's Gross Value Added (GVA) from Mining and Quarrying. The dataset includes time series values for real and nominal Gross Value Added (GVA) from the Mining & Quarrying sector, based on official releases by the Ministry of Statistics & Programme Implementation (MoSPI). It also includes historical trends and interactive charts.

Originally based on the International Standard Industrial Classification (ISIC), the NIC-2008 is widely used by government agencies and private organizations for statistical, analytical, and business purposes. NIC-2008 was developed by the Government of India and follows the structure of the ISIC system, with some adjustments made to suit the Indian context. I generated this csv for a learning project.

For SICs of other nations, please refer to regional govt website and for general understanding, use wikipedia.org/wiki/Standard_Industrial_Classification

I originally took the 'National Industrial Classification 2008 (Excel Format)' from Ministry of Statistics & Programme Implementation website mospi.gov.in/classification/national-industrial-classification

But it only had (niccode and nicdesc), making it less intuitive for detailed analysis and lacked grouping.

I checked Open Government Data (OGD) Platform data.gov.in/search but could not find exactly what I was looking for.

I proceeded to use a scraped listing from dge.gov.in/dge/national-industrial-classification which I consolidated into csv/xlsx format for further usage in my project. That consolidated file is what I am providing here. It bridges the gap between the official enquriy and practical usability for data-driven tasks.

Comprehensive Hierarchical Segmentation:

Applications: 1. Market Research: Understand industry classifications relevant to your domain. 2. Statistical Analysis: Perform cross-sectional or longitudinal analyses across industries. 3. Business Strategy: Identify target sectors of business. 4. Policy and Government Programs: Pinpoint industries for compliance or government funding opportunities.

If you require to use the same data but would like to scrape the data on your own for personal use, I will provide a python script in 'Code' section which you can use to scrape the same data for personal use.

Since this data is not taken from data.gov.in, I do not believe that this data falls under 'Open Government Data' License hence I am marking this as 'Other'. This csv file is ideal for personal projects but for business purposes or other commercial use, please verify whether this data falls under National Data Sharing and Accessibility Policy (NDSAP) / CC BY-NC 4.0 or others.

This dataset presents national-level literacy rates, compiled from multiple official sources, including the National Sample Survey (NSS), Periodic Labour Force Survey (PLFS), Population Census, National Family Health Survey (NFHS), and data published by the Ministry of Statistics and Programme Implementation (MoSPI).

It provides literacy rates disaggregated by gender, region (urban and rural), and age group. The inclusion of age groups is essential, as the criteria for calculating literacy rates have changed over time. To allow consistent comparisons across sources and years, an ‘age group’ column is included in the dataset. In general, literacy is assessed based on whether a person above a specified age can read and write a simple message with understanding in at least one language. The age specified as per these sources is as follows:

Census: Population aged 7 years and above (used since 1981; previously, it was 5 years and above). Data is available for 1951, 1961, 1971, 1981, 1991, 2001, and 2011 NSS: Population aged 5 years and above. Data is available for 2005, 2007-08, 2010, 2011-12, 2014, and 2017-18 PLFS: Survey typically covers population aged 15 years and above, but literacy data is also available for 5 years and above and 7 years and above. Data is available for 2017-18 to 2023-24. NFHS: Covers population aged 15–49 years only. Literacy rate refers to women and men who have completed standard 6, 9, or higher, or those who can read a full or partial sentence among individuals assumed to be literate. Data is available for 2005-06, 2015-16, and 2019-21. MoSPI: Follows the NSS age criteria, usually 5 years and above. Data is available for 2003, 2004, 2006, 2007, and 2011

Quarter-wise and annual data of India's Gross Value Added (GVA) from Electricity, Gas, Water Supply & Other Utility Services. The dataset includes historical time-series data in both real and nominal terms based on official data from the Ministry of Statistics & Programme Implementation (MoSPI). Data is presented with interactive charts and download options.

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. Household Consumption Expenditure Survey 2022-23 will commence from July 2022.

Information collected in the survey will be primarily used for preparation of weighting diagram through determination of budget shares of different commodity groups in total consumption for compilation of consumer price indices for rural and urban India. In addition, statistical indicators of level of living, social consumption and well-being, and inequalities therein will also be compiled from the data collected in the survey.

Geographic coverage

The survey will cover the whole of the Indian Union except the villages in Andaman and Nicobar Islands which are difficult to access. Total 15016 FSUs will be surveyed for the central sample at all-India level.

Sampling procedure

In this survey, a different methodology will be used for determining the consumption and expenditure of a household on different items. The complete set of information on consumption will be collected through three different questionnaires (FDQ, CSQ and DGQ) canvassed at different time points to a sample household. Apart from these three questionnaires, another questionnaire on household characteristics (HCQ) will also be canvassed in a household. The sample households will be visited three times - in the first visit, listing of households will be done, sample households will be selected, Questionnaire on Household Characteristic (HCQ) and another Questionnaire (out of other three Questionnaires on consumption) will be canvassed. In the next two months, other two Questionnaires will be completed from the same household. Equal number of sample FSUs will be selected in a month. Thus it will be a panel survey for a short duration where each sample FSU and each sample household will be retained for a period of three months.

Although all three questionnaires on consumption will be canvassed to all selected households, sequence of questionnaire to be canvassed is also important since a suitable randomization will eliminate any bias due to any particular sequencing of questionnaire. Thus, all possible sequencing of questionnaires [(Q1, Q2, Q3), (Q1, Q3, Q2), (Q2, Q1, Q3), (Q2, Q3, Q1), (Q3, Q1, Q2) and (Q3, Q2, Q1)], where Q1 refers to FDQ, Q2 refers to CSQ and Q3 refers to DGQ, are desirable in the sample of households. If a sample household is found to be temporarily locked in second visit, the JSO/SE would visit the locked household any time later during the same month for canvassing the questionnaire. If the household is found to be locked during the entire month of second visit, the second and third visit questionnaires will be canvassed together at the time of third visit.

Number of sample households per FSU and minimum number of FSUs perstratum:

18 sample households will be canvassed within an FSU in the following manner:

Distribution of 18 sample households per FSU:

Sample households will be distributed in a manner to have all combinations of three questionnaires. Three sequences of uestionnaires can be canvassed in each FSU. Annual number of sample FSUs may be selected in the form of 10 Panels with 2 Sub-samples in each panel. One panel will be of three months duration and in each sub-sample three particular sequences of questionnaires will be allotted so that all six sequences are accommodated in 2 sub-samples of each panel. The Panel 10 will start in the month 10 and will be completed in month 12.

An illustration for determination of canvassing sequence of the households belonging to different SSS with three different allocation scenarios leading to a total of 18 households is given in Section 1.4.19. If total no of listed households for a particular FSU is less than 18 then more or less equal number of households will be canvassed in each sequence.

The number of sample FSUs per stratum will be a minimum of 20 for each of rural/urban sector separately.

Mode of data collection

Face-to-face [f2f]

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...

Replication code for Caste, Religion and the Labor Force Participation of Women: Evidence from India. The data used in this paper- National Sample Survey on employment and Unemployment and Periodic Labour force Survey- is owned by Ministry of Statistics and Programme Implementation (MOSPI), India. Available on payment of fees to MOSPI. The code below replicates the tables in the main paper and the appendix. Please email the author for any additional clarifications.

Abstract

Starting from 1995, the National Statistical Committee of the Republic of Belarus (formerly the Ministry of Statistics and Analysis) has been conducting a sample survey of 6,000 households on a yearly basis, according to the methodology complying with international standards. The survey is carried out in all regions of the country and Minsk City, covering 49 cities, towns and urban-type settlements, and 53 rural councils. Data from the latest population census is used to construct the sample.

For the survey, researchers collect information on demographic characteristics of household members, housing conditions, personal subsidiary plots, property, household expenditure and income.

The information obtained from the survey is used to analyze the influence of new social processes on living standards and to develop policies aimed at social protection of various population groups. Data is also used to compile household accounts in the system of National Accounts, to calculate consumer price index for goods and services, and to estimate the poverty level in the country.

Geographic coverage

National coverage

Analysis unit

A household is understood as the unit of the survey. For survey purposes the category "households" includes: 1) families consisting of a husband and a wife with or without children or single parent families; 2) relatives living together and having a common budget (brother and sister, grandmother and grandson and etc.); 3) persons living together and having a common budget but who are not relatives, for example two friends; 4) persons living alone; 5) families consisting of two and more married couples with or without children.

Universe

The survey covers all household members excluding persons fully supported by the state, for example people staying in homes for the elderly and the disabled, children in public care institutions, prisoners, etc. The survey also excludes foreigners living and working in Belarus on contract basis and families of military men living in military residential settlements or other restricted areas.

Kind of data

Sample survey data [ssd]

Sampling procedure

Sampled households are surveyed for a year and then are subject to replacement (rotation). To conduct the survey, households' residential addresses are sampled. Sampled population forming 0.2% of universe general population is annually arranged by the statistical office.

A household is understood as the unit of the survey. This is a person or a group of persons (mainly relatives) living together and having a common budget. Close relationship is not an obligatory condition.

Sampling was based on the territorial principle of forming a selection. In accordance with this principle, sampling involved three stages. Different territorial units of selection were used at every stage: the larger units were used at the initial stage while at the third stage the surveyed unit was equal to the selection unit. To ensure equal distribution of sample over the territory of the country, the selection was made separately for urban and rural population.

At the first stage, administrative and territorial units such as cities (including urban settlements) and rural councils were taken as the units of selection. Nineteen cities with the population above 72,000 people and 58 village councils were selected.

At the second stage, constituencies were taken as the selection units in urban areas and residential settlements were taken as the selection units in rural areas. The list of constituencies is drafted at the regional level based on the district (city) executive committees' data on the number of eligible voters. The list of voters excluded persons living in students' and workers' hostels. At the second stage maps of all selected cities and village councils were widely used when building a sample.

At the third stage, a household was taken as the unit of selection. Within the area of the selected constituencies in urban areas and residential settlements in rural areas, the lists of residential apartments and individual houses were drafted based on the data of apartment register in towns and village councils' registers in rural areas. The lists were drafted in line with the numbering of buildings within the area of the selected constituencies in urban areas and in residential settlements in rural areas.

Detailed information about the sampling is available in "Belarus Household Budget Survey Methodology" in Technical Documents (p.9-17).

Mode of data collection

Face-to-face [f2f]

Research instrument

The main components of the survey are:

1) The main interview which is intended to establish the first contact with the household, to make the list of all household members, to collect the basic information about the household in general and its individual members and to fix the date for subsequent interviews. Before an interview a household receives the initial letter signed by the Minister of Statistics and Analysis stating the date and time of the interviewer's visit. The main interview is conducted in December of the previous year;

2) Four quarterly interviews, conducted in April, July, October of the current year and January of the next year. Quarterly interview covers three previous months and summarizes the information about incomes and major expenditures of the households. At the beginning of every quarter a household is given a diary for recording expenditures during the quarter. The diary is used during quarterly interviews;

3) Four two-week diaries which are handed to a household every quarter. The diary is intended for daily recording of expenditures on foodstuffs and non-food products within 14 days as well as for recording of the consumed foodstuffs which were produced at the individual subsidiary land plot or received as a present.

Cleaning operations

The following coding systems were developed and introduced for Belarus household sample survey: 1) coding of households covered by the survey; 2) coding of household expenditures; 3) coding of additional incomes and employment of household members by sectors and types of activity.

Detailed information about coding procedures is available in "Belarus Household Budget Survey Methodology" (p.22-25) in Technical Documents.

Quarter-wise and annual data of India's Gross Value Added (GVA) from the Construction sector. This dataset includes historical and current trends in both real and nominal values based on official data from the Ministry of Statistics & Programme Implementation (MoSPI), presented with interactive charts and downloadable formats.

Abstract

National Statistical Office (NSO) of India will be conducting Annual Survey on Unincorporated Sector Enterprises (ASUSE) 2022-23 during October 2022 to September 2023.

This survey will be devoted exclusively to economic and operational characteristics of unincorporated non-agricultural establishments in manufacturing, trade and other services sector. The unit of enquiry of the ASUSE will be an ‘establishment’.

Unincorporated sector is an integral part of Indian econ my, which not only comprises of large number of establishments but also generates large number ofemployment in this sector. Besides, its contribution to Gross Domestic Product (GDP) of the country is also significant. Unincorporated sector has tremendous potential to grow higher.

The ASUSE 2022-23, which will be launched in October 2022 andcontinue till September 2023, will cover all unincorporated non-agricultural establishments belonging to three sectors viz., Manufacturing, Trade and Other Services.

(i) The survey will cover the following broad categories: (a) Manufacturing establishments excluding those registered under Sections 2m(i) and2m(ii) of the Factories Act, 1948 (b) Manufacturing establishments registered under Section 85 of Factories Act, 1948 (c) Establishments engaged in cotton ginning, cleaning and bailing (code 01632 of NIC-2008) excluding those registered under Sections 2m(i) and 2m(ii) of the Factories Act,1948 (d) Establishments manufacturing Bidi and Cigar excluding those registered under bidi and cigar workers (conditions of employment) Act, 1966 (e) Non-captive electric power generation, transmission and distribution by units not registered with the Central Electricity Authority (CEA) (f) Trading establishments (g) Other Service sector establishments

Geographic coverage

The survey will cover the rural and urban areas of whole of India (except the villages in Andaman and Nicobar Islands which are difficult to access). The definitions of urban and rural areas as per census 2011 are given below:

Urban: Constituents of urban area are Statutory Towns, Census Towns and Outgrowths.

Statutory Town (ST): All places with a municipality, corporation, cantonment board or notified towns area committee, etc.

Census Town (CT): Places that satisfy the following criteria are termed as Census Towns (CTs). a. A minimum population of 5000 b. At least 75% of the male main working population engaged in non-agricultural pursuits c. A density of population of at least 400 per sq.km.

Out Growth (OG): Out Growth should be a viable unit such as a village or part of a village contiguous to a statutory town and possess the urban features in terms of infrastructure and amenities such as pucca roads, electricity, taps, drainage system, education institutions, post offices, medical facilities, banks, etc. Examples of OGs are Railway colonies, University campuses, Port areas, that may come up near a CT or statutory towns outside its statutory limits but within the revenue limit of a village or villages contiguous to the town or city.

Urban Agglomeration (UA): It is a continuous urban spread constituting a town and its adjoining urban outgrowths (OGs) or two or more physically contiguous towns together and any adjoining urban out-growth of such towns. Rural: All area other than urban are rural. The basic unit for rural area is the revenue village.

Sampling procedure

Outline of sample design: A stratified multi-stage sampling design will be adopted for ASUSE.

Rural sector: The first stage units (FSU) will be the census villages in the rural sector. For rural part of Kerala, Panchayat wards (PW) will be taken as FSUs.

Urban sector: The First Stage Units (FSU) will be the latest updated UFS (Urban Frame Survey) blocks.

The Ultimate Stage Units (USU) will be establishments for both the sectors. In the case of large FSUs, one intermediate stage of sampling will be the selection of three hamlet-groups (HGs)/sub-blocks (SBs) from each of the large FSUs.

Sampling frame to be used for selection of FSUs

Census 2011 list of villages will be used as the sampling frame for rural areas. Auxiliary information such as number of workers, etc. available from Sixth Economic Census (EC) frame will be used for stratification, sub-stratification and selection of FSUs, for rural areas (except Kerala). In rural areas of Kerala, list of Panchayat Wards (PW) as per Census 2011 will be used as sampling frame. For all urban areas, the latest updated list of UFS blocks will be the sampling frame.

Stratification of FSUs:

Rural sector: Each NSS State region will constitute a rural stratum.

Urban sector: In urban areas, strata will be formed within each NSS State region on the basis of population of towns as per Census 2011. The tentative stratum numbers and their composition (within each NSS State region) will be as follows:

stratum 1 : all towns with population less than 50,000 stratum 2 : all towns with population 50,000 or more but less than 3 lakhs stratum 3 : all towns with population 3 lakhs or more but less than 10 lakhs stratum 4, 5, 6, ... : each city with population 10 lakhs or more

Mode of data collection

Face-to-face [f2f]