Graph and download economic data for Index of Industrial Production, Total for France (A018BAFRA324NNBR) from 1898 to 1938 about France, IP, and indexes.

Key information about China Industrial Production Index Growth

• China Industrial production rose 6.2 % YoY in Dec 2024, following an increase of 5.4 % YoY in the previous month.
• China Industrial production index growth rate YoY data is updated monthly, available from Jan 1995 to Dec 2024, with an average rate of 10.2 %.
• The data reached an all-time high of 23.2 % in Feb 2004 and a record low of -2.9 % in Apr 2022.

The National Bureau of Statistics provides monthly Industrial Production Index Growth. Industrial Production Index Growth reflects the annual increase of total value added by all industrial sectors in current prices, indicating value changes.

This table expresses the contribution of the businesses under the Ministry of Economic Affairs to the total industrial production value of the nation, in proportion to their operating income.

Abstract

The overall aim of the 2010 Census of Industrial Production (CIP), was to provide comprehensive information on the structure of the industrial activities in Kenya. The exercise targeted an estimated total of 3,000 registered establishments in the country. The CIP 2010 focused on various characteristics of formal establishments that included the economic activities at the four digit ISIC, employment, ownership structure, production and installed capacity, inventories, intermediate consumption, incomes, sales, ICT and fixed assets, among others.

A total of 1,814 formal establishments/firms responded for the industrial enquiry. Imputations were done for 438 establishments that did not respond based on other regular surveys and other administrative sources. The final results as reflected in the report are aggregated at the two digit (division) of ISIC.

The total output of the industrial sector in 2009 was KSh 1,009.2 billion with total gross value added of KSh 319.8 billion. Manufacturing activities recorded the largest share of industrial production, accounting for 90.3 percent of total value of industrial output. This was followed by electricity, gas, steam and air conditioning supply which recorded 7.9 percent of the total output. The total number of persons engaged as at June 2009 was 324,841 with about half of them based in Nairobi. The manufacturing sector accounted for about 94 percent of total employment within the industrial sector.

Most of the employees in industry were males at 77.2 percent. A total of 30 percent of establishments reported capacity utilization below 50 percent. Some of the key reasons cited by the establishments leading to under-utilization were the high cost of fuels, electricity and raw materials during the reference period.

Geographic coverage

National coverage

Analysis unit

Establishments

Universe

The exercise targeted an estimated total of 3,000 registered establishments in the country. The Census covers data on variables that characterize industrial production. These include number of establishments, general particulars, economic activities and ownership, employment and hours worked, production and installed capacity, capacity under-utilization, inventories, expenditure on goods and services, cost of purchase of goods for resale, total expenditure, sales and other revenues, plant and technology in use, IT infrastructure and related services, research and development and fixed assets.

Kind of data

Census/enumeration data [cen]

Sampling procedure

The 2010 CIP population of target respondents was made up of all establishments in Kenya that fall under ISIC Rev 4 sections B, C, D and E. These are namely; B (Mining and quarrying), C (Manufacturing), D (Electricity, gas, steam and air conditioning supply) and E (Water supply; sewerage, waste management and remediation activities).

A Central Business Register (CBR) of establishments is kept by KNBS and is maintained and constantly updated using data /information from administrative and public utility records, newspaper announcements, business journals and field personnel contacts. This CBR provided the final list that was used in the 2010 CIP. However, due to some responses being received from enterprises as opposed to establishments, there could be minor differences in the total number of establishments in the CIP compared to CBR.

Mode of data collection

Other [oth]

Research instrument

A researcher-administered questionnaire was used to gather the data. Operational units from both Ministry of Industrialization and KNBS provided all the technical and logistical expertise in questionnaire design as well as in the collection, editing, coding, tabulation, evaluation, analysis of data, and report writing. Field data collection was organized in such a way that three enumerators reported to one supervisor and in turn three supervisors reported to one coordinator.

The questionnaire includes the following topics: - General particulars of an establishment,
- Characteristics of an establishment, - The type of ownership, - Employment hours worked and compensation of employees, - Production installed capacity, - Reasons for underutilization, - Inventories, - Annual expenditure on goods and services, - Sales and other revenues, - Research and development, - Fixed assets.

Cleaning operations

The data was edited by the editing staff.

Response rate

A total of 1,814 firms/establishments responded to the industrial activities enquiry. Data from 438 additional establishments were imputed based on other regular surveys such as MSIP, the quarterly BEE and other administrative data records for the year 2009. Therefore, the total number of industrial establishments on whose data this report is based is 2,252. The establishments that were not covered in the census included those that could not be located or traced, and those whose administrative records were not accessed. Delays in receipt of returns from some establishments resulted in follow- ups, even after conclusion of data collection.

94.8 percent of the responses were at establishment level. The rest were at enterprise level, with one response being received for 26 establishments. The overall response rate based on an initial target of 3,000 establishments was about 85 percent. Coverage in the mining and quarrying sector was rather low as most of these activities are carried out by informal units which were excluded in the 2010 CIP.

Key information about Mongolia Industrial Production Index Growth

• Mongolia Industrial production rose 105.6 % YoY in May 2023, following an increase of 111.9 % YoY in the previous month.
• Mongolia Industrial production index growth rate YoY data is updated monthly, available from Jan 2010 to May 2023, with an average rate of 9.5 %.
• The data reached an all-time high of 111.9 % in Apr 2023 and a record low of -32.5 % in Mar 2022.

CEIC calculates Industrial Production Index Growth from monthly Industrial Production Index. The National Statistics Office of Mongolia provides Industrial Production Index with base Same Month Previous Year=100, weighted by volume of total production with base 2015=100. Industrial Production Index Growth prior to January 2020 is calculated from Industrial Production Index with base Same Month Previous Year=100, weighted by volume of total production with base 2010=100.

Industrial Production in China increased 5.80 percent in May of 2025 over the same month in the previous year. This dataset provides - China Industrial Production - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Abstract

Comparison of economic performance over time is a key factor in economic analysis and a fundamental requirement for policy-making. Short-term indicators play an important role in this context by providing such comparison indicators. Among the short-term indicators, the Index of Industrial Production (IIP) has historically been one of the most well-known and well-used indicators. The all India IIP is a composite indicator that measures the short-term changes in the volume of production of a basket of industrial products during a given period with respect to that in a chosen base period. It is compiled and published monthly by the Central Statistics Office (CSO) with a time lag of six weeks from the reference month.

Geographic coverage

Industrial Coverage: Although UNSD guidelines state that IIP is to be compiled for activities in ISIC Rev. 4 Sections B, C, D and E, i.e. (i) Mining and quarrying, (ii) Manufacturing, (iii) Electricity, Gas, Steam and Air-conditioning supply and (iv) Water supply, Sewerage, Waste management and Remediation activities, due to constraints of the data availability and other resources, the index is being compiled with (i) Mining, (ii) Manufacturing and (iii) Electricity as scope of All India IIP. In the current base year (i.e. 2011-12), the index covers 839 items clubbed into 407 item groups under three sectors i.e. Mining (29 items clubbed into 1 item group), Manufacturing (809 items clubbed into 405 item groups) and Electricity (1 item) with weights of 14.37%, 77.63% and 7.99% respectively.

The mining sector covers 29 items under different headings viz. Fuel Minerals, Metallic Minerals and Non-Metallic Minerals. This sector also includes Crude Petroleum, Natural Gas, Coal and Lignite. The manufacturing sector covers 809 items under different groups e.g. Food products, Beverages, Textiles, Chemicals and chemical products etc. The Electricity sector is treated as a single item.

Product Coverage: Within an industry the products are covered on the basis of the concepts of Primary (Main) Product as well as Secondary (By) Product. All those items which represent at least 80% of the output within each industry group, i.e., 3-digit industry of NIC-2008 (based on ISIC 4) have been included in the Item basket. Essential products like tea, coffee, salt and sugar have been included. The over-riding criteria for finalization of item basket have been the regular monthly flow of production data from the source agencies/collection authorities.

Analysis unit

Frame for coverage of units is decided by the source agencies which collect data from the factories. For compilation of IIP both large and medium factories are covered for collection of data by the source agencies.

Mode of data collection

The sample size for data collection is decided by the source agencies. Generally, efforts are made to cover all the major units.

statistical techniques :

Procedures for Non-Response: In India, the Index of Industrial Production is based on the responded production as well as estimated production for non-responding units. The production estimates for the non-responding units are developed using various methods including: repetition of last available data; taking the average production data for the last few months; using previous year's growth rate; etc. The appropriate estimation procedure is decided by the source agencies themselves in consultation with CSO. Treatment of Missing Production: The index is compiled on the basis of the data on a fixed number of items collected from the source agencies which in turn collect the data from different factories and estimate the data on their own, as per the requirements. Selection of Replacement Items: Replacement of items is not done at present. Introducing New Units and Products: New units/ new products are included only at the time of the revision of base year.

Other statistical procedures : The production figures, if not reported by all the units in the current month due to any reason, are estimated for the current month and revised subsequently in the next month, and finally in the third month on the basis of which the final indices for a month are calculated.

Nature of Weights: The weights for the three sectors (mining, manufacturing, and electricity) are based on share of the sector in total domestic production in the base year. The overall weight of the manufacturing sector is apportioned to the industry groups at the 2-digit, 3-digit- and 4-digit level of the National Industrial Classification (NIC) 2008, on the basis of the Gross Value Added (GVA). The weighting diagram for the current series of IIP is prepared on the basis of GVA up to the 2-digit, 3 and 4 digit level of NIC based on the results of ASI 2011- 12. At the final level (i.e. 5 digit level of NIC), weights to items have been distributed on the basis of Gross Value of Output (GVO). The weights of selected items within an industry group are apportioned on the basis of the value of output.

Period of Current Index Weights: The current index weights are based on the value of production of the industries during the base year period viz. April, 2011 to March 2012 as reported in the Annual Survey of Industries for the year 2011-12. The same weights are used until the revision of the base year is done.

Frequency of Weight Updates: The weights are revised with every revision of the base year. The base year was revised to 2011-12 from 2004-05 in May 2017. Efforts would be made to revise the base year once in every five years as per UNSD's recommendations (the previous base years of the index were 2004-05, 1993-94, 1980-81, 1970, 1956, 1951 and 1946).

• Computation of lowest level indices: The lowest level, for which an index is prepared, is the item group. It is compiled as the ratio of production quantity in the current month with respect to its average monthly production quantity in the base year.

• Aggregation: The IIP is calculated using the Laspeyres formula as a weighted arithmetic average of production relatives. The index is primarily quantity based, although for some item groups the quantity relatives are obtained by price deflation.

The index at group level/ 2-digit level of NIC is compiled by using the Laspeyeres' formula, i.e. I = Uppercase sigma(Wi*Ri)/ Uppercase sigm(Wi) where Ri is the production relative and Wi is the weight of an item.

The index is prepared for each two-digit level of NIC. Also the index is prepared on the basis of the following use-based classification: Primary Goods, Capital Goods, Intermediate Goods, Infrastructure/ Construction Goods, Durable Consumer Goods and Non-Durable Consumer Goods.

• Alignment of Value of Weights and Base Period: No alignment of the weights is required as the weights as well as the base year production relate to the same reference period viz. April, 2011 to March 2012.

-- Linking of Re-weighted Index to Historical Index: Whenever there is change in the base year, the new series can be linked with the old series by preparing linked series. For the common period, the index series are available with both old weights & new weights for linking the two series.

Industrial Production Indices: Overall and by economic destination of the goods. National. CNAE-74. Monthly. National.

Colombia IPI: Total Manufacturing data was reported at 94.573 2018=100 in Feb 2019. This records an increase from the previous number of 92.535 2018=100 for Jan 2019. Colombia IPI: Total Manufacturing data is updated monthly, averaging 96.321 2018=100 from Jan 2014 (Median) to Feb 2019, with 62 observations. The data reached an all-time high of 107.815 2018=100 in Oct 2018 and a record low of 82.664 2018=100 in Jan 2015. Colombia IPI: Total Manufacturing data remains active status in CEIC and is reported by National Statistics Administrative Department. The data is categorized under Global Database’s Colombia – Table CO.B001: Industrial Production Index: 2018=100.

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.

Abstract

Central Bureau of Statistics (CBS) has been producing National Account estimates and other macro-economic indicators of the country from sector wise economic activities. Agriculture sector occupies largest share 23.95%, (CBS 2022) in the national economy in terms of GDP. The share of the industrial sector to total GDP is around 8.11% (CBS, 2022). Among the industrial sectors, the manufacturing sector (section C of NSIC) covers around 5.65% of the GDP; the Electricity, gas, steam and air conditioning supply (section D of NSIC), the mining and quarrying (section B of NSIC) and Water supply, sewerage, waste management and remediation activities (section E of NSIC) cover around 1.37%, 0.58% and 0.51% of the total GDP respectively. The development of the industrial sector is considered essential because it can contribute not only to expansion of the industrial sector but also affects other sectors of the economy, which in turns supports in poverty alleviation through employment generation and income expansion. Reliable and strong statistical information is thus required to know the current situation of the industrial sector of the country and also for the proper formulation and evaluation of the industrial plans and programs. Keeping this in mind, CBS has been collecting and disseminating the official industrial statistics of the country through regular censuses and surveys.

In the previous industrial censuses and surveys, only the manufacturing establishments were taken under the scope. Now, the scope of industrial survey is extended to other three sectors of the economic activities i.e. Mining and quarrying; Electricity, gas, steam and air conditioning supply; and Water supply, sewerage, waste management and remediation activities. The current National Industrial Survey (NIS) has therefore covered all these four sectors of the economy as defined by the NSIC. This is therefore, the first integrated and comprehensive survey of industrial sector in Nepal, in terms of industrial statistics.

Nepal has a long history of conducting the manufacturing censuses and surveys. The first Census of Manufacturing Establishments (CMEs) was conducted in 1964/65. After that, it was conducted regularly in almost every five years. CMEs had covered those establishments which perform the manufacturing activities and have 10 or more persons engaged. It was continued upto 10th CME held in 2011/12. For the establishments with less than 10 persons engaged, CBS had conducted Sample Survey of Small Manufacturing establishments (SSMEs) in every 10 years. Begun in 1972/73, CBS had already conducted the 5th SSMEs in 2008/09. Both CMEs and SSMEs provide the comprehensive information on number of establishments, total number of employees, wages/salaries, input/output and other information on the manufacturing sector.

This NIS has covered both the large establishments (10 or more persons engaged) and small establishments (less than 10 persons engaged). It also includes other three sectors of the economic activities as mentioned above. The NIS, 2019/20 is the 11th series in terms of census operation whereas it is 6th series in terms of survey operation as in its history.

Geographic coverage

National Coverage

Analysis unit

Establishment

Universe

All large establishments (10 or more persons engaged) and small establishments (less than 10 persons engaged) that belongs to four sectors of the economic activities ie section B, C, D and E of the NSIC.

Kind of data

Sample survey data [ssd]

Sampling procedure

Sampling Frame: The frame of the survey was developed basically from the list of the National Economic Census (NEC) 2018. The list of establishments from NEC 2018 contains the complete name and address of establishments along with other variables such as annual income, annual expenditure, number of persons engaged etc. Before deciding about sampling methodology, the nature and characteristics of NEC 2018 frame was reviewed and considered it as a main frame. Beside main frame, the lists of currently running micro hydro-powers and waste collection/disposal industries were also updated to the main-frame. Those lists were obtained from AEPC and Federation of Waste Collection and Disposal Industries.

Stratification: Separate survey scheme was designed for each section of NSIC covered in the survey. Industries in section B, D and E of NSIC were completely enumerated, in case of section C of NSIC both complete enumeration and sampling method were adopted based on the following criteria. · For large manufacturing establishments (if number of persons engaged was more than or equal to 10), all establishments were enumerated. · For small manufacturing establishments (if number of persons engaged was less or equal to 9), sampling method was adopted. However, if number of establishments in each province at 4 digit NSIC level was less than 5, then such establishments were completely enumerated to ensure their representation in the survey.

For small size establishments of section C, three categories were made based on number of persons engaged i.e. 1-2 persons engaged, 3-5 persons engaged and 6-9 persons engaged. Using these categories, strata were made based on province, NSIC and persons engaged categories. The total number of establishments in the sampling frame for small size establishments of manufacturing section by province is presented in Table A.

Table A: Total number of establishments in the sampling frame by province and persons engaged category (for small size establishments of section C) Persons engaged category
Province 1-2 3-5 6-9 Total
persons persons persons
Province no. 1 5,970 3,780 1,070 10,820
Madhesh 3,225 2,642 565 6,432
Bagamati 7,349 6,473 1,980 15,802
Gandaki 3,041 2,305 629 5,975
Lumbini 4,480 3,666 982 9,128
Karnali 810 536 107 1,453
Sudurpaschim 1,548 1,134 254 2,936
Total 26,423 20,536 5,587 52,546
Source: National Economic Census, 2018

Analytical Domain: The survey was designed to provide the national estimates of the NSIC 4 digits classification and provincial estimates of the NSIC 3 digits classification.

Sample Size and Sampling Method: The total enumeration size (census and sampling) of the survey was planned to enumerate 14,000 establishments. Out of them, about 9,200 establishments were expected to be enumerated in census category for the NSIC sections B, D, E and large size manufacturing establishments of section C.

For small size manufacturing establishments, a total of 4,738 establishments were fixed as a sample size, which were distributed to each stratum (province, NSIC, persons engaged category) using power allocation with power 0.7. The samples from each stratum were then selected by using systematic sampling method. The summary of sample allocation is presented in the table B.

Table B: Summary of the allocation of samples in provinces by persons engaged category (for small size establishments of section C) Province Persons engaged category
1-2 3-5 6-9 Total
persons persons persons
Province no. 1 418 340 149 907 Madhesh 251 253 97 601 Bagamati 524 527 257 1,308
Gandaki 253 241 98 592 Lumbini 333 322 140 795 Karnali 93 77 27 197 Sudurpaschim 152 135 51 338 Total 2,024 1,895 819 4,738

Mode of data collection

Face-to-face [f2f]

Research instrument

The paper questionnaires are used in to collect of the establishments. The questionnaire is divided into 17 sections as follows:

Section 1. Introduction Section 2. Organization structure Section 3: Employment Section 4: Fuel, water and electricity Section 5: Purchase of raw materials Section 6: Production and sale of produced goods Section 7: Stocks Section 8: Expenses and Income on industrial services Section 9: Expenses on non-industrial services Section 10: Receipts from non- industrial services Section 11: Indirect tax Section 12: Fixed Assets Section 13: Research and Development Section 14: Utilization of Production Capacity Section 15: Environment and Waste Managment Section 16: Factors affecting business environment of the establishment Section 17: Miscellaneous

Cleaning operations

After the accomplishment of the field operation, the filled up questionnaires were initially edited by heads of SOs in each district and then collected to CBS for further processing. Five peoples were hired for six months for the editing, coding and entry of the forms. The intensive training on editing, coding and data entry of the collected forms was provided to them. CSPro application was used for data entry. For the consistency of data required logics were set in the data entry programme. Data analysis and tabulation was done by using STATA as well as IBM SPSS.

Standard coding system adopted by CBS had been used for coding. For industry classification, NSIC version 4 was used at the 4 digit level. Likewise, for product classification, the CPC version 2.1 was used at the 5 digit level. The coding, editing and data entry activities were supervised by officials of the CBS.

Response rate

Nearly 3.9 percent of complete non-response was observed in sampling scheme (small size establishment of section C). These non-responses were treated mainly by adjusting the sampling weight. Some partial non responses were also observed in both census and survey.

Sampling error estimates

Non-responses were treated mainly by adjusting the sampling weight.

The U.S. manufacturing sector plays a central role in the economy, accounting for 20% of U.S. capital investment, 60% of the nation's exports and 70% of business R&D. Overall, the sector's market size, measured in terms of revenue is worth roughly $6 trillion, making it a major industry to do business with. So which U.S. states are the biggest for manufacturing? This article will explore the nation's top manufacturing states, measured by number of employees, based on MNI's database of 400,000 U.S. manufacturing companies.

Key information about Tunisia Industrial Production Index Growth

• Tunisia Industrial production fell 3.1 % YoY in Dec 2024, following a drop of 2.0 % YoY in the previous month.
• Tunisia Industrial production index growth rate YoY data is updated monthly, available from Jan 2001 to Dec 2024, with an average rate of 0.0 %.
• The data reached an all-time high of 78.0 % in Apr 2021 and a record low of -39.4 % in Apr 2020.

CEIC calculates Industrial Production Index Growth from monthly Industrial Production Index. National Institute of Statistics provides Industrial Production Index with base 2010=100.

Industrial Production Indices: Economic destination of the goods. National. Monthly. National.

Graph and download economic data for Full-time and part-time employees: Domestic private industries: Manufacturing (A4213C0A173NBEA) from 1987 to 2000 about part-time, full-time, private industries, domestic, private, manufacturing, employment, industry, GDP, and USA.

Industrial Production Indices: Overall and by economic destination, corrected for seasonal and calendar effects. National. Monthly. National.

China Gross Industrial Output: 90p: Total data was reported at 12,871,625.000 RMB mn in 2003. This records an increase from the previous number of 10,256,884.000 RMB mn for 2002. China Gross Industrial Output: 90p: Total data is updated yearly, averaging 6,164,408.500 RMB mn from Dec 1994 (Median) to 2003, with 10 observations. The data reached an all-time high of 12,871,625.000 RMB mn in 2003 and a record low of 4,266,912.000 RMB mn in 1994. China Gross Industrial Output: 90p: Total data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under Global Database’s China – Table CN.BD: Gross Industrial Output.

Graph and download economic data for Full-time equivalent employees: Domestic private industries: Manufacturing (N4313C0A173NBEA) from 1998 to 2023 about full-time, private industries, domestic, private, manufacturing, employment, industry, GDP, and USA.

Abstract

The overall aim of the 2010 Census of Industrial Production (CIP), was to provide comprehensive information on the structure of the industrial activities in Kenya. The exercise targeted an estimated total of 3,000 registered establishments in the country. The CIP 2010 focused on various characteristics of formal establishments that included the economic activities at the four digit ISIC, employment, ownership structure, production and installed capacity, inventories, intermediate consumption, incomes, sales, ICT and fixed assets, among others.

A total of 1,814 formal establishments/firms responded for the industrial enquiry. Imputations were done for 438 establishments that did not respond based on other regular surveys and other administrative sources. The final results as reflected in the report are aggregated at the two digit (division) of ISIC.

The total output of the industrial sector in 2009 was KSh 1,009.2 billion with total gross value added of KSh 319.8 billion. Manufacturing activities recorded the largest share of industrial production, accounting for 90.3 per cent of total value of industrial output. This was followed by electricity, gas, steam and air conditioning supply which recorded 7.9 per cent of the total output. The total number of persons engaged as at June 2009 was 324,841 with about half of them based in Nairobi. The manufacturing sector accounted for about 94 per cent of total employment within the industrial sector.

Most of the employees in industry were males at 77.2 per cent. A total of 30 per cent of establishments reported capacity utilization below 50 per cent. Some of the key reasons cited by the establishments leading to under-utilization were the high cost of fuels, electricity and raw materials during the reference period.

Geographic coverage

National coverage

Analysis unit

Establishments

Universe

The exercise targeted an estimated total of 3,000 registered establishments in the country. The Census covers data on variables that characterize industrial production. These include number of establishments, general particulars, economic activities and ownership, employment and hours worked, production and installed capacity, capacity under-utilization, inventories, expenditure on goods and services, cost of purchase of goods for resale, total expenditure, sales and other revenues, plant and technology in use, IT infrastructure and related services, research and development and fixed assets.

Kind of data

Census/enumeration data [cen]

Sampling procedure

A total of 1,814 firms/establishments responded to the industrial activities enquiry. Data from 438 additional establishments were imputed based on other regular surveys such as MSIP, the quarterly BEE and other administrative data records for the year 2009. Therefore, the total number of industrial establishments on whose data this report is based is 2,252. The establishments that were not covered in the census included those that could not be located or traced, and those whose administrative records were not accessed. Delays in 7 receipt of returns from some establishments resulted in follow- ups, even after conclusion of data collection.

Sampling deviation

Not available

Mode of data collection

Other [oth]

Research instrument

There was only one quesstionnaire structured .

General particulars of an establishment,
Characteristics of an establishment, The type of ownership, Employment hours worked and compensation of employees, Production installed capacity, Reasons for underutilization, Inventories, Annual expenditure on goods and services, Sales and other revenues, Research and development, and Fixed assets

NOTE: However, the complete questionnaire is attached to the external resources.

Cleaning operations

The data was edited by the editing staff.

Response rate

NOTE: the full table for the response rate is at page 7 of the report attached to the external resources.

Sampling error estimates

No sampling error.

Data appraisal

Not available

Graph and download economic data for Hours worked by full-time and part-time employees: Domestic private industries: Manufacturing (N4710C0A222NBEA) from 2000 to 2022 about part-time, full-time, hours, private industries, domestic, private, manufacturing, employment, industry, GDP, and USA.