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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 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 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

Sample survey data [ssd]

Sampling procedure

Sampling Procedure

The sampling design followed in ASI 1998-99 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 200 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 200 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 was taken within each stratum (State X Sector X 4-digit NIC) with a minimum of 8 samples in each stratum in the form of 2 sub-samples. For the first time, all electricity undertakings other than captive units, Government Departmental undertakings such as Railway Workshops, P & T workshops etc. were kept out of coverage of ASI.

Sampling deviation

There was no deviation from sample design in ASI 1998-99.

Mode of data collection

Face-to-face [f2f]

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.

The final unit level data of ASI 98-99 is available now in electronic media. This document describes additional information regarding ASI 98-99 data from the point of data processing. Users of ASI 98-99 data are requested to read this document carefully before they attempt to process the unit level data for their own purpose. They are also requested to refer to the schedule and the instruction manual for filling up the schedule before interpreting contents of various data fields. A. Contents The CD (or any other media) should contain the following files: ASI99.TXT This file contains unit level detail data of ASI 98-99 as per structure given in ANNEXURE- Total no. of records: 104740 XASI98.TXT (Metadata created from this .TXT file) This file contains unit level detail data of ASI 97-98 for those factories which were found not responding during the survey of ASI 98-99. The record layout is already available with the Computer Centre, New Delhi. Record Length: 135 Total no. of records: 6974 README.DOC This file.

B. Tabulation procedure The tabulation procedure by CSO(ISW) includes both the ASI 98-99 data and the extracted data from ASI 97-98 for all tabulation purpose. 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 for the respective years. Please note that a separate inflation factor (Multiplier) is available for each factory against records belonging to Block-A ,pos:38-46 (Please refer ANNEXURE-I) for ASI 98-99 data. Since the data extracted from ASI 97-98 belong to Census Sector no such inflation (Multiplier) factor is required. Industry code as per Return(5-digit level of NIC-98) Industry code as reported by the factories in Block-A, Item 1 has been further codified because of the following two policies practiced at CSO(ISW). Tabulation policy: As per the latest tabulation policy, it has been decided to publish detail information regarding factories belonging to 01 to 37 of industry codes( 2-digit, NIC-98). Factories belonging to other industry groups would be clubbed together and to be published under 'Others'. Accordingly all industry codes other than 01 to 37 were replaced with a 5-digited code 'YYYYY'. Merging and suppression of identity: To suppress the identity of factories, less frequent industry codes were modified accordingly. Example: if a reported industry code is found as 2930Z, this is to be treated as 'other merged industry code under industry group 2930 (4-digit NIC'98)'. Similarly if the reported industry code is found as 293ZZ, the same as to be treated as 'other merged industry code under industry group 293 (3-digit NIC'98)' and so on.

FIXED ASSETS (Block-C) Columnwise relationship (please refer schedule) may not hold true for data in this block. This is because of the lack of information available from the factory owners. E. EMPLOYMENT AND LABOUR COST (Block-E) It has been found that a larger number of factory owners were unable to provide detailed break-up of information regarding provident fund (Block-E, Col.7). Instead they provide total provident fund as a whole for all employees (Block-E, Srl. No. 7, Col.7). Users are requested to use Srl.9, Col.7 for information on provident fund. The total of srl.6 to 8 for Col.7 may not tally with srl.9, col.7. F. ASICC codes in Block H, I & J Because of the proximity of various item's description, it is possible that same ASICC code may appear against multiple records in these blocks. They should not be treated as duplicates. They are clubbed together at the time of tabulation to provide information at ASICC level. 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 ANNEXURE-I for item level identification key for each factory.

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.

Explore the eCommerce statistics by industry and category for the year 2025. This page provides insights into the performance of different eCommerce categories, including store count, estimated sales amounts, products sold, and app spend. Gain a comprehensive understanding of the eCommerce landscape in 2025, with data-driven insights on market dynamics and consumer preferences. Stay informed about industry trends and benchmarks within specific eCommerce categories, empowering businesses to identify growth opportunities and optimize operations. This report is a valuable resource for industry professionals navigating the evolving world of eCommerce.

In August 2024, the Industrial Production Index (IPI) came to a value of 103.14 in the United States. This is a slight increase from the previous month, when the index stood at 102.31 . The IPI was created by the Federal Reserve to measure the performance of industrial production - manufacturing, mining, electric and gas industries - in the United States relative to a base year. A value of over 100 shows positive production performance, while a value below 100 indicates an industrial production performance below the standards of the base year.

Key Statistics on Business Performance and Operating Characteristics of the Industrial Sector - Table 610-72005 : Principal statistics for all establishments in the manufacturing sector by industry grouping and number of persons engaged

This table contains 2736 series, with data starting from 2001 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada) Business dynamics measure (16 items: Number of active employer businesses in the private sector; Number of entrants; Number of incumbents; Number of exits; ...) North American Industry Classification System (NAICS) (19 items: Private sector; Agriculture, forestry, fishing and hunting; Mining, quarrying, and oil and gas extraction; Utilities; ...) Firm size (9 items: Private sector; From 0 to less than 100 employees; From 0 to less than 50 employees; Less than 5 employees; ...).

This statistic represents the industrial Internet of Things (IoT) adoption rate worldwide as of 2017, with a breakdown by industry. In 2017, the automotive industry had a 13 percent adoption rate for industrial IoT.

China Manufacturing: YoY: Value Added of Industry data was reported at 6.100 % in Oct 2018. This records an increase from the previous number of 5.700 % for Sep 2018. China Manufacturing: YoY: Value Added of Industry data is updated monthly, averaging 7.000 % from Jun 2013 (Median) to Oct 2018, with 55 observations. The data reached an all-time high of 11.400 % in Oct 2013 and a record low of 5.700 % in Sep 2018. China Manufacturing: YoY: Value Added of Industry data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.MFG: Manufacturing.

Release Date: 2015-06-16...Table Name.Manufacturing: Subject Series: Industry-Product Analysis: Industry Shipments by Products and Receipts for Services: 2012....ReleaseSchedule.Data are scheduled for release in June 2015.....Universe.The Universe includes all establishments classified in manufacturing sectors 31-33 with one or more paid employee at any time during the year.....GeographyCoverage.Data are shown at the U.S. level.....IndustryCoverage.Data are shown at the six-digit North American Industry Classification System (NAICS) level and seven-digit product class level based on NAICS.....Data ItemsandOtherIdentifyingRecords.This file contains data on:..Products shipments value ($1,000). .......Sort Order.Data are presented in ascending NAICS product code sequence.......FTP Download.Download the entire table at https://www2.census.gov/econ2012/EC/sector31/EC1231SX1.zip....ContactInformation. U.S. Census Bureau, Economy Wide Statistics Division. Data User Outreach and Education Staff . Washington, DC 20233-6900. Tel: (800) 242-2184 . Tel: (301) 763-5154. ewd.outreach@census.gov. ..For information on economic census geographies, including changes for 2012, see the economic census Help Center..Data based on the 2012 Economic Census. For information on confidentiality protection, sampling error, nonsampling error, and definitions, see Methodology. Data in this file represent those available when this file was created; data may not be available for all NAICS industries..Symbols:D - Withheld to avoid disclosing data for individual companies; data are included in higher level totalsN - Not available or not comparableFor a complete list of all economic programs symbols, see the Symbols Glossary.Source: U.S. Census Bureau, 2012 Economic Census.Note: The data in this file are based on the 2012 Economic Census. To maintain confidentiality, the U.S. Census Bureau suppresses data to protect the identity of any business or individual. The census results in this file contain nonsampling error. Data users who create their own estimates using data from this file should cite the U.S. Census Bureau as the source of the original data only. For the full technical documentation, see Methodology link in above headnote.

Survey of innovation, logging and manufacturing industries, percentage of revenue of plants who introduced new or significantly improved products onto the market that were already available from competitors by type of plant, if it's already on the market with product innovations, the percentage range of the revenue and the North American Industry Classification System (NAICS) for Canada, provinces and territories in 2005. (Terminated)

Number of employees by North American Industry Classification System (NAICS) and type of employee, last 5 years.

Graph and download economic data for All Employees, Publishing Industries (CES5051100001) from Jan 1990 to Feb 2025 about printing, information, establishment survey, employment, industry, and USA.

United States Avg Weekly Earnings: Info: Publishing Industries excl Internet data was reported at 1,643.910 USD in May 2018. This records a decrease from the previous number of 1,770.600 USD for Apr 2018. United States Avg Weekly Earnings: Info: Publishing Industries excl Internet data is updated monthly, averaging 1,307.870 USD from Mar 2006 (Median) to May 2018, with 147 observations. The data reached an all-time high of 1,770.600 USD in Apr 2018 and a record low of 996.140 USD in Jun 2006. United States Avg Weekly Earnings: Info: Publishing Industries excl Internet data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G032: Current Employment Statistics Survey: Average Weekly and Hourly Earnings.

Get statistical data on greenhouse industry statistics for Ontario and Canada.

This dataset includes:

• square footage
• sales
• employee numbers
• selected input costs

Brochure Theme: S6 - Statistical data - Industry Under Theme: S600.A2 - Industrial production

Hong Kong Employment: All Industry Sectors data was reported at 2,871,540.000 Person in Jun 2018. This records an increase from the previous number of 2,867,383.000 Person for Mar 2018. Hong Kong Employment: All Industry Sectors data is updated quarterly, averaging 2,294,646.500 Person from Mar 1980 (Median) to Jun 2018, with 154 observations. The data reached an all-time high of 2,871,540.000 Person in Jun 2018 and a record low of 1,750,442.000 Person in Mar 1980. Hong Kong Employment: All Industry Sectors data remains active status in CEIC and is reported by Census and Statistics Department. The data is categorized under Global Database’s Hong Kong SAR – Table HK.G033: Employment: Quarterly Survey of Employment and Vacancies: by Industry: HSIC 2.0.

This table shows relevant economic data for trade and industry sectors, e.g. the number of persons employed, costs and revenues, turnover and other financial results. The figures can be divided by a number of sectors/ branches according to Statistics Netherlands' Standard Industrial Classification of all Economic Activities 2008 (SIC 2008).

Data available from: 2009.

Status of the figures: All data in the table are definite.

Changes as of May 6, 2024:

Figures of 2022 have been added.

When will new figures be published?

Results are made available circa 15 months after the year under review. In March/April 2025, new figures will be published for 2023.

In 2023, the finance, insurance, real estate, rental, and leasing industry contributed the highest amount of value to the GDP of the U.S. at 20.7 percent. The construction industry contributed around four percent of GDP in the same year.

Data on employment income statistics by industry sectors (2-digit code) from the North American Industry Classification System (NAICS) 2017, Indigenous identity, highest level of education, work activity during the reference year, age and gender, for the population aged 15 years and over who reported weeks worked and employment income in 2020 in private households in Canada, provinces and territories, census metropolitan areas and census agglomerations with parts.

Manufacturing Industries: Telangana: Gross Output data was reported at 3,262,053.600 INR mn in 2022. This records an increase from the previous number of 2,644,440.600 INR mn for 2021. Manufacturing Industries: Telangana: Gross Output data is updated yearly, averaging 2,131,099.900 INR mn from Mar 2013 (Median) to 2022, with 10 observations. The data reached an all-time high of 3,262,053.600 INR mn in 2022 and a record low of 1,561,488.600 INR mn in 2013. Manufacturing Industries: Telangana: Gross Output 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 Mining and Manufacturing Sector – Table IN.BAF030: Manufacturing Industry: NIC 2008: By State: Telangana.