Purpose: The \"Industrial Production Index\" is calculated in order to measure the positive or negative effects of the developments in the industrial part of the economy and the economic policies implemented in the short term.
Description of data: The production index is a volume index and production is measured by physical output. The index measures the change in physical output produced by industrial enterprises in the mining, manufacturing and electricity, gas, steam and air conditioning and distribution sectors.
" }, { "title": "3.2. Classification system", "content": "Classification: NACE Rev.2, PRODCOM_2010, Main Industrial Groups (MIGs), Technology
" }, { "title": "3.3. Coverage - sector", "content": "Quantity of production: It is the quantity of production which is produced either in the enterprise or produced in another enterprise by giving raw material of the enterprise in the consistent month. The subcontracting by using other enterprises raw materials is not included.
Value of Production: It is the value of production which is produced either in the enterprise or produced in another enterprise by giving raw material of the enterprise in the consistent month. While sales unit price is used for production value calculation for enterprises which questionnaire is applied, the turnover data calculated from the Revenue Administration data is used for the production value of firms that are not covered by the survey.
Quantity of Sales: The quantity of sales includes the products which are produced by another enterprise or produced by another enterprise with the raw materials of the enterprise which is included in survey and sales from the stocks of the enterprise and the products given to other departments of the enterprise in the consistent month. The commercial goods sold without any changes on them are not included.
Value of Sales: The value of sales includes the value of the products (by using unit price) which are produced either in the enterprise or by another enterprise with the raw materials of the enterprise which is included in survey and sales from the stocks of the enterprise and the products given to other departments of the enterprise in the consistent month.
Unit Sales Price: Producer's price received by a producer for a unit of a good including any tax payable or subsidy receivable on the product as a consequence of its sale or use except invoiced VAT, Special Consumption Tax. It also excludes any delivery charges invoiced separately by the producer.
Turnover (VAT excluded): Turnover comprises the total value of goods and services invoiced by enterprise in reference month and this corresponds to market sales of goods and services supplied to third parties. Turnover includes invoiced by unit vis-a-vis its customer (exception of VAT and deductible taxes linked to turnover) other all taxes and duties. Turnover also includes all other charges (transport, packaging, etc.) passed on to the customer, even if these charges are listed separately in the invoice.
Turnover does not include price decline, discount and allowance, recycling package. The income which is classified in the company’s account as other business income, financial income and extraordinary income are excluded in turnover. Business subventions obtained from the government are also excluded.
" }, { "title": "3.5. Statistical unit", "content": "Enterprises and local units operating in the Mining and Quarrying (B), Manufacturing (C) and Electricity, Gas, Steam and Air Conditioning Production and Distribution (D) sectors of NACE Rev.2
" }, { "title": "3.6. Statistical population", "content": "In referance year, enterprises and local units operating in the Mining and Quarrying (B), Manufacturing (C) and Electricity, Gas, Steam and Air Conditioning Production and Distribution (D) sectors of NACE Rev.2 in Türkiye are covered.
" }, { "title": "3.7. Reference area", "content": "Whole country (Türkiye) is covered.
" }, { "title": "3.8. Coverage - Time", "content": "Industrial Production Indices have been available since 1986. The old series are drawn backwards according to the base year 2021=100.
" }, { "title": "3.9. Base period", "content": "\n| 2021=100 |
Indices and rates of change
" } ] }, { "title": "5. Reference Period", "detail": [ { "title": "5. Reference Period", "content": "Monthly
" } ] }, { "title": "6. Institutional Mandate", "detail": [ { "title": "6.1. Institutional Mandate - legal acts and other agreements", "content": "Unadjusted, calendar adjusted and seasonal and calendar adjusted indices are submitted to Eurostat every month. Indices are shared with all international and national institutions and researchers upon request, within the framework of data privacy rules.
" } ] }, { "title": "7. Confidentiality", "detail": [ { "title": "7.1. Confidentiality - policy", "content": "Data privacy and confidential data security regarding the statistics produced by Turkish Statistical Institute are guaranteed with the Turkish Statistical Law No. 5429 and the Regulation about Procedures and Principles of Data Privacy and Confidential Data Security of Official Statistics. Statistics are also prepared in accordance with the regulation published by the European Statistical Office (Eurostat) on March 11, 2009 with the number 223/2009 and the European Statistics Code of Practice, within the scope of harmonization with the European Union.The collection of data solely for statistical purposes and the confidentiality of the individual responses are guaranteed with the related legislation and regulations.
" }, { "title": "7.2. Confidentiality - data treatment", "content": "Only those involved in the production of official statistics can access confidential data to the extent they need it to perform their duties.
If the number of statistical units in any cell of the data table created by aggregation of individual data is less than three, or if the number of units is three or more, but one or two statistical units are dominant, the data in the relevant cell is considered confidential.
Confidential data collected, processed and stored for the production of official statistics cannot be given to any administrative, judicial or military organ, authority, authority or person, used for purposes other than statistics, and cannot be a means of proof. Officers and other officials who compile and evaluate this information must also comply with this prohibition. This obligation continues even after the officers leave their posts.
All kinds of precautions are taken by the authorities of the institutions and organizations that produce official statistics against the illegal access, disclosure or use of confidential data.
Data or information obtained from publicly available sources is not considered confidential.
In case the statistical unit gives written approval to the disclosure of confidential data belonging to it, data confidentiality is eliminated.
Confidential data can only be published by combining it with other information in a way that does not lead to direct or indirect identification.
The procedures and principles regarding data privacy and security are regulated by a regulation to be issued by taking the opinions of relevant institutions and organizations in line with national and international principles.
" } ] }, { "title": "8. Release policy", "detail": [ { "title": "8.1. Release calendar", "content": "Monthly (Within 40 days of the end of the reference month of the reference year)
" } ] }, { "title": "10. Accessibility and clarity", "detail": [ { "title": "10.1. Dissemination format - News release", "content": "Industrial Production Index Press Release
" }, { "title": "10.2. Dissemination format - Publications", "content": "There are no other publications besides the news bulletin.
" }, { "title": "10.3. Dissemination format - online database", "content": "" }, { "title": "10.4. Dissemination format - microdata access", "content": "Microdata access is not open to public or private users.
" }, { "title": "10.5. Dissemination format - other", "content": "Unadjusted, calendar adjusted and seasonal and calendar adjusted indices are submitted to Eurostat every month.
" }, { "title": "10.6. Documentation on methodology", "content": "International Documents:
Short-Term Business Statistics Methodology Manual For Short-Term Business Statistics
National Documents:
Industrial Production Index Seasonal and Calendar Adjustment Metadata Document, 2021
" }, { "title": "10.7. Quality management - documentation", "content": "ISO 9001:2015 Quality\nManagement Documentation
\n\n
Quality-related documents were created within the scope of the ISO\n9001:2015 Quality Management standard. Procedures, guides, instructions, plans,\nlists, and forms are included in the quality management system along with the\nstandard coding system. There is a \"Document Control Procedure\" for\nthe creation and updating of the documents. In addition, all studies are\ndetailed on the basis of the articles of the standard in the \"Quality\nHandbook\", prepared within the scope of the ISO 9001:2015 Quality\nManagement standard.
TurkStat Quality Policy
TurkStat is committed to implementing a quality policy based on the European Statistics Code of Practice (ES-CoP), the European Statistical System Quality Assurance Framework (ESS-QAF), and other internationally recognized best practices determined by the European Statistical Office (Eurostat). In this context, TurkStat strictly adheres to and implements quality standards in statistical production processes by adopting the principle of continuous improvement and excellence in accordance with the ISO 9001:2015 Quality Management System Standard.
TurkStat Quality Policy is avaliable on the TurkStat website.
Quality Assurance Framework
The Quality Assurance Framework of the European Statistical System (ESS QAF) is a supporting document that aims to assist in the implementation of the European Statistics Code of Practice (CoP). It identifies possible activities, methods and tools that can provide guidance and evidence for the implementation of the CoP's indicators. TurkStat has determined its own quality assurance framework according to the QAF and shares it with all users on the TurkStat website. In line with the principles of the CoP, TurkStat quality assurance framework includes the studies, tools and legal regulations.
ISO 9001:2015 Quality Management System
TurkStat is certified by the “ISO 9001:2015 Quality Management System” standard. TurkStat implements a holistic quality management system by fulfilling all the necessary requirements of the standard.
" }, { "title": "11.2. Quality management - assessment", "content": "There are sections on the website of our institution for users who want to access both general and detailed information. After selecting the topic interested in from the \"Subcategories\" part of the \"Statistics\" section and clicking on the \"Search\" button, \"Press Release\", \"Statistical Tables\", \"Databases\", \"Reports\" and \"Metadata\" contents can be reached.
Data at international and regional level can be accessed through the \"Regional Statistics\", \"Provincial Indicators\", \"International Selected Indicators\", and \"Turkstat Library\" applications in the \"E-Services\" section.
Data requests which cannot be replied are compiled regularly and data production process are addressed in the light of this information.
If the requested data cannot be accessed from the website; it is possible to make a data request via https://ty.tuik.gov.tr web address.
" }, { "title": "12.2. Relevance - User Satisfaction", "content": "The production index is fully compliant with the STS Regulation. According to the STS regulation, the data completeness rate is 100%.
Short-Term Statistics Regulation (1165/98)
Short-Term Statistics Regulation
" } ] }, { "title": "13. Accuracy", "detail": [ { "title": "13.1. Accuracy - overall", "content": "After the data entry is completed by the companies, the data is analyzed using SAS Enterprise Guide and Microsoft Excel programs. The outliers of the changes according to the previous month, year, max, min and average are questioned by the regional directorates. In addition, various edits are used to ensure internal consistency of the questionnaire. After the regional control, the Industrial Statistics Group sends inquiries to the regional offices as a result of impact analysis, internal consistency, time series analyzes (z score, box plot, confidence interval, etc.) and ensures that they are checked again in the area.
Variables of businesses whose data cannot be obtained for various reasons are imputed. Imputation is carried out using the monthly or annual rate of change of the turnover information obtained from the VAT declarations of the workplace.
" } ] }, { "title": "14. Timeliness and punctuality", "detail": [ { "title": "14.1. Timeliness", "content": "40 days (Indices are published 40 days after the end of the reference month.)" }, { "title": "14.2. Punctuality", "content": "0 day (News bulletins are published according to the announced publication schedule.)
" } ] }, { "title": "15. Coherence and comparability", "detail": [ { "title": "15.1. Comparability - geographical", "content": "The Industrial Production Index is comparable to the EU. Methodological studies are carried out in close cooperation with Eurostat. The same statistical concepts are applied to the whole of Turkey. There are no geographical differences.
" }, { "title": "15.2. Comparability - over time", "content": "Data on the Industrial Production Index are comparable over time. When significant changes are made (for example, classification, base year, or methodology change), the historical time series is recalculated as far back as possible. According to NACE Rev.2, time series are available from 1986 onwards.
The 2021=100 Industrial Production Index is calculated using the chained Laspeyres method using annual averages. With the transition from fixed base year index calculation to chain Laspeyres chained index calculation, the most up-to-date weights have been used every year. Value added weights (t-1) obtained from National Accounts and Structural Business Statistics are used. The series based on 2021 = 100 and the series 2015 = 100 were linked using the annual average.
" }, { "title": "15.3. Coherence - cross domain", "content": "Monthly Industrial Production Statistics are comparable to National Accounts, Annual industry and product statistics and Short-term industry turnover data.
" }, { "title": "15.4. Coherence - internal", "content": "The data is self-consistent. The compatibility of the data is checked with monthly, annual changes and time series.
" } ] }, { "title": "16. Cost and Burden", "detail": [ { "title": "16. Cost and Burden", "content": "Burden response for the Industrial Production Index was applied in 2015 and 2019 by adding one-time questions to the existing questionnaire. The results have not been published.
" } ] }, { "title": "17. Data revision", "detail": [ { "title": "17.1. Data revision - policy", "content": "Revision Policy
In the unadjusted series;
1) While the current month indices are published, the month indices before the current month are revised.
2) Last year indices are revised in December press release.
For the Seasonal and Calendar Adjusted Series;
1) In calculating the index every month, the series are revised for the current year and the previous three years.
2) At the end of the year, according to the method and system; If there is a change, the model structure, model parameters and outlier observation structure of the series will be changed. Therefore, the series are revised.
" } ] }, { "title": "18. Statistical processing", "detail": [ { "title": "18.1. Source data", "content": "The data used in the calculation of the Industrial Production Index consists of the data obtained from the Monthly Industrial Production Questionnaire and the turnover information calculated from the data of the Revenue Administration.
" }, { "title": "18.2. Frequency of data collection", "content": "Monthly
" }, { "title": "18.3. Data collection", "content": "The main data source for the industrial production index is the survey. The turnovers obtained from VAT declarations are also used together with the survey. While data is obtained from the enterprises (approximately 7 thousand enterprises) with a coverage rate of approximately 70% in the sector (quads) by survey, the turnover information obtained from the declarations of the other enterprises is used.
The survey form is entered by the companies through the Harzemli application. The data compiled with the survey until 2014 are compiled by the workplaces (by making data entry) with the Harzemli Platform as of this date.
This program enables the compilation of data previously collected in various ways or via e-mail over the internet. Harzemli Platform; We can define it as a platform that enables the use of standards for TurkStat and statistical data producers and automatically turns a question paper into a data entry application.
It offers software for all processes such as needs analysis, data entry application, analysis reports, error tracking, field management, data distribution.
Harzemli application has been prepared in such a way that it does not allow data entry of an erroneous or incomplete question paper by checking for consistency at various points.
Like this
• Incomplete information is not compiled,
• Minimizing erroneous data entry,
• Increasing data quality,
• It is aimed to reduce long data processing processes.
As of March 2018, micro data of the Revenue Administration is used in order to produce more comprehensive data sets, reduce the burden of respondents and use public resources more efficiently.
" }, { "title": "18.4. Data validation", "content": "Data entry control of the surveys is carried out by the Regional Directorates with a web-based computer software. Data entry software is designed to check consistency at several points and not allow incorrect or incomplete data to be entered. Appropriate verification procedures are applied throughout the entire production process of statistics. If there is any doubt about the accuracy of the data, businesses are contacted directly to clarify outliers. Both values and indices are compared with the previous month and the corresponding month of the previous year. In the case of significant data revisions, for example when base year changes or seasonally adjusted data are revised, all time series are subject to the validation procedure. Short-term industrial production statistics are compared with the turnover data on a monthly basis.
" }, { "title": "18.5. Data compilation", "content": "The production value is used in the calculation of the industrial production index. While directly reaching the production values of the data obtained through the survey, the turnovers obtained from the VAT declarations are converted into production value by using the production value coefficient (multiplication ratio). The product ratio is obtained by dividing the sum of the production values at the class level obtained through the survey by the total turnover obtained at the class level. The obtained multiplication ratio is applied to the total turnover at the class level reached through the declarations and the production value is reached. Then, the index is calculated by combining the two data sets. Quantity information is used for the production of coal, natural gas, oil, cigarettes and electricity, which are not calculated with the production value, and the number of days worked for the production of railway vehicles, boats and ships. Chained Laspeyres Index method is used in index calculation. Value added weights (t-1) of structural business statistics are used up to the division level, and value added weights (t-1) of the National Accounts are used for division and above. The weights are updated every year.
The class production value, which is formed by adding the production values obtained from the survey data and the production values calculated from the administrative registration turnovers, is deflated with the total PPI, converted to volume, class level indices are calculated, and the upper indices are reached by using weights. When production and sales information cannot be obtained from enterprises in the survey data, if the source of this is the lack of production and sales, the data is used as is. In cases where the source is the inability to reach the enterprise or refusal to respond (which is not a common situation under normal conditions), imputation is made using the enterprise's turnover rate. As a source of imputation in cases where data cannot be accessed in administrative record data (during periods when it is difficult to partially access both survey and administrative record data, such as the pandemic process), e-invoice, e-archive, e-ticket, e-self-employment receipt, card payment and foreign trade data can be used.
The monthly (t+40) industrial production index data includes raw indices, seasonal and calendar adjusted indices, monthly and annual changes.
" }, { "title": "18.6. Adjustment", "content": "Industrial Production Index Seasonal Adjustment
Seasonal\nand calendar related effects prevent observing the general tendency of data\nbecause of their temporary characteristics. Therefore, identification of\nseasonal patterns of short term indicators plays crucial role in order to make\nreliable comparisons between consecutive periods.
Method Used
The\nseasonal adjustment of Industrial Production Indices (IPI) is carried out using\nTRAMO-SEATS methodology. The software that is used for the application of this\nmethod is JDemetra+ 2.2.2 developed by the National Bank of Belgium (NBB) in\ncooperation with the Deutsche Bundesbank and Eurostat in accordance with the\nGuidelines of the European Statistical System.
Seasonal Correction Process
Seasonal and calendar adjustment process of Industrial\nProduction Indices begins at the end of each year with the identification of\nthe models of next year. This specified\nmodel structure is kept fixed throughout the year to adjust seasonally and/or\ncalendar effects. At the end of the year, just like the previous year,\nspecification of econometric estimation models for the following year is done.\nThe identified process repeats itself in a cyclical manner each year.
\n\n
A substantial number of the subtitles of Industrial\nProduction Index contain seasonal and calendar effects.
Direct or Indirect Approach
NACE\nRev.2 class level series are seasonally and calendar adjusted by direct approach\nand then aggregated to derive seasonally and calendar adjusted group, division, section, MIGS and IPI. The advantages of indirect approach are\ncalculation of contributions to growth from components of main aggregates and\nretaining additivity.
Revision Policy
Seasonal\nadjustment procedure is subject to revisions over time because of the\nre-estimation of seasonal component as new observations are added. These\nrevisions are implemented on the data of\nthe last three years excluding the current year.
Publication
Adjusted data has been published in 3 different ways.
There is no additional information.
" } ] } ] } ], "previousPresses": [ { "title": "Industrial Production Index", "period": "December 2025", "url": "/en/press/58192" }, { "title": "Industrial Production Index", "period": "November 2025", "url": "/en/press/58194" }, { "title": "Industrial Production Index", "period": "October 2025", "url": "/en/press/57926" }, { "title": "Industrial Production Index", "period": "September 2025", "url": "/en/press/57925" }, { "title": "Industrial Production Index", "period": "August 2025", "url": "/en/press/57924" }, { "title": "Industrial Production Index", "period": "July 2025", "url": "/en/press/57923" }, { "title": "Industrial Production Index", "period": "June 2025", "url": "/en/press/57922" }, { "title": "Industrial Production Index", "period": "May 2025", "url": "/en/press/57921" }, { "title": "Industrial Production Index", "period": "April 2025", "url": "/en/press/57920" }, { "title": "Industrial Production Index", "period": "March 2025", "url": "/en/press/57919" }, { "title": "Industrial Production Index", "period": "February 2025", "url": "/en/press/57918" }, { "title": "Industrial Production Index", "period": "January 2025", "url": "/en/press/57917" } ] } }