Statistics on the production of manufactured goods (prom)

National Reference Metadata in Euro SDMX Metadata Structure (ESMS)

Compiling agency: Federal Statistical Office (DESTATIS)    

Eurostat metadata
Reference metadata
1. Contact
2. Metadata update
3. Statistical presentation
4. Unit of measure
5. Reference Period
6. Institutional Mandate
7. Confidentiality
8. Release policy
9. Frequency of dissemination
10. Accessibility and clarity
11. Quality management
12. Relevance
13. Accuracy
14. Timeliness and punctuality
15. Coherence and comparability
16. Cost and Burden
17. Data revision
18. Statistical processing
19. Comment
Related Metadata
Annexes (including footnotes)

For any question on data and metadata, please contact: EUROPEAN STATISTICAL DATA SUPPORT


1. Contact Top
1.1. Contact organisation

Federal Statistical Office (DESTATIS)



1.2. Contact organisation unit

Unit E22: Short-term statistics in the industry, Production of the industry

1.5. Contact mail address

Statistisches Bundesamt

Gustav-Stresemann-Ring 11

D-65180 Wiesbaden

2. Metadata update Top
2.1. Metadata last certified 26/08/2021
2.2. Metadata last posted 26/08/2021
2.3. Metadata last update 26/08/2021

3. Statistical presentation Top
3.1. Data description

The PRODCOM survey is conducted by the 14 statistical offices of the 16 federal states (Bundeslaender) in Germany. It is a monthly and quarterly survey of the value and volume of products being produced during the reference period by local units in Germany. The annual PRODCOM statstics consists of the aggregated monthly and quarterly results. It is carried out in compliance with EU Council Regulation on the Establishment of a Community Survey of Industrial Production (No.3924/91).

The PRODCOM survey provides information on PRODuction of the European COMmunity and is compiled from data received from German manufacturers. 

The available data include the value and volume of sold production (production intended for sale), as well as the volume of total production (including production intended for sale and for further processing within the same legal unit).

3.2. Classification system
  • The European Classification of Economic Activities (NACE Rev. 2). This is the EU system for classifying economic activities.
  • The Community Classification of Products by Activity (CPA) and the derived PRODCOM List 2020
  • The German Classification of Industrial Products (Güterverzeichnis für Produktionsstatistiken 2019) - the German version of the PRODCOM list.

To view the national classification, please see

3.3. Coverage - sector

The survey covers all local units belonging to a legal unit with 20 or more employees, which are totally or primarily engaged in industrial production and industrial services in the Mining, Quarrying, and Manufacturing industries (NACE Rev.2 sections B and C). Additionally, all local units with 20 or more employees belonging to an enterprise (legal unit) outside the NACE Rev.2 sections B and C are covered as well.

93 percent of total production are covered by the survey. The estimation of covered production comes from a Eurostat project that estimated the production value of all enterprises with less than 20 employees using administrative data and a regression model.

3.4. Statistical concepts and definitions

The purpose of this statistic is to report for each product in the Prodcom List the amount and value of production carried out within the territory of the reporting country during the reference year. This means that Prodcom relates to products (not to activities) and are therefore not strictly comparable with activity-based statistics such as Structural Business Statistics. The NACE codes on which Prodcom codes are based serve to identify the units that should be surveyed in order to determine the amount of production of the product.

The Prodcom List defines the products to be included in the survey. There are approximately 3.900 headings representing manufactured products and some industrial services.

3.5. Statistical unit

The observation unit is local unit.

The reporting unit for Sold Production is the legal unit. The reporting unit for Total Production of the products listed in the PRODCOM list is not relevant.

3.6. Statistical population

The survey population consists of all local units belonging to a legal unit with 20 or more employees, which main activity is in mining and quarrying or in manufacturing (NACE Rev.2 sections B and C). Furthermore the survey population includes all local units with 20 or more employees belonging to a legal unit outside the NACE Rev.2 sections B and C.

3.7. Reference area

Prodcom statistics is available on national level.

In the national dissemination the industrial production is also only available on national level.

Each of the 14 regional statistical offices in Germany that are carrying out the survey publish their production statistics on the regional level of the Federal States. The regional statistical offices are responsible for this dissemination.

Regional data beyond the regional level of the federal states is not available.


3.8. Coverage - Time

The reference period of Prodcom statistics is one year.

German industrial products statistics date back to 1948.

3.9. Base period

Not applicable.

4. Unit of measure Top

For volumes: The volume is expressed in a volume unit specified for each product, such as kilograms, square meters etc. It is used to indicate the volume of the goods. For a comprehensive enumeration of units used in national publications, see the following list of units of measurement:

For values: The production value is measured in euros.

5. Reference Period Top

Reference period is a calender year. Latest data refers to the year 2020.

6. Institutional Mandate Top
6.1. Institutional Mandate - legal acts and other agreements

This survey is carried out in compliance with the following regulations:

At EU level: EU Council Regulation on the Establishment of a Community survey of Industrial Production (No 3924/91);

At National level: Bundesstatistikgesetz (BStatG) (date 22 January 1987), Gesetz über die Statistik im Produzierenden Gewerbe (ProdGewStatG) (date 21 March 2002); it can be accessed at

6.2. Institutional Mandate - data sharing

Not applicable.

7. Confidentiality Top
7.1. Confidentiality - policy

The German confidentiality policy is based on:

National Level:

  • Federal Statistics Law (BStatG), § 16 
  • Statistics Law on manufacturing industry (ProdGewStatG), § 10
  • Restriction of Competition Act (GWB), § 47

Note: If national data have previously been classified as confidential to Eurostat, they should not subsequently be disseminated in other public documents.

7.2. Confidentiality - data treatment

Germany is applying the principle of active confidentiality.

The following data are confidential:

  1. individual statistical data (except anonymised individual data for scientific purposes);

  2. statistical data which can be matched in a way that enables the identification of a specific statistical unit;

  3. statistical information which aggregates data for less than three legal units;

  4. statistical information which aggregates data with one or two dominant legal units. The rule is: If the difference between the total value of a cell and the second largest single value exceeds the largest single amount by less than p %.

  5. Cross-over confidentiality: If the dessimination of one Prodcom Code would reveal data of the German production codes (GP) in the national dessimination than the PRODCOM code has to be confidential as well.

The policy of German Statistics on confidentiality of Prodcom data is that a specific code is flagged as confidential if at least one of the mentioned criterias applies to the PRODCOM code.

About 31% of all results of the German data for PRODCOM are confidential.

8. Release policy Top
8.1. Release calendar

Data of the German industrial products statistics are released regularly and without a particular announcement of the release date.

8.2. Release calendar access

Not applicable.

8.3. Release policy - user access

Not applicable.

9. Frequency of dissemination Top

National dissemination:

  • Monthly national publication of a selection of product aggregates that are on behalf of users.
  • Quarterly national publication for the Sold Production and Total Production (volume and value) for all the national production codes of the GP, obtained from the monthly and quarterly survey.
  • Annual national publication that aggregates the monthly and quarterly results.
  • In addition, the monthly collected data (local units with 50 or more employees belonging to the manufacturing industry) are part of the monthly calculated production index.

Eurostat dissemination:

  •  Prodcom statistics are submitted anually to EUROSTAT and are also published anually

10. Accessibility and clarity Top
10.1. Dissemination format - News release

There can be ad-hoc press releases or a dissemination referring to the “number of the week”, like:

10.2. Dissemination format - Publications

Till 1952 production data for certain important production codes / product aggregates is published in the German Statistical Yearbook in paper format.

10.3. Dissemination format - online database

Starting with 2002, data have been made available online at

10.4. Dissemination format - microdata access

Since the introduction of the Research Data Centre (RDC) in 2007, scientists have the possibility to get access to official statistical microdata: (German only)

10.5. Dissemination format - other

The entry for the German industrial products statistics is at the portal to Germany’s official statistics:

The content includes a combination of HTML webpages for narrative, charts and graphs, with data being provided in usable formats such as CSV and Excel. Additionally, information on quality and methodology, FAQ (frequently asked questions) and a glossary can be found here.

10.6. Documentation on methodology

For users, the main documentation on methodology and quality is the quality report in German:

10.7. Quality management - documentation

See 11.1

11. Quality management Top
11.1. Quality assurance

The Quality guidelines of the German Statistical Office ensures a high quality of data through a variety of systematic quality assurance measures, like the quality standards in German official statistics:

11.2. Quality management - assessment

The German Statistical Office applies a comprehensive quality management system based on Total Quality Management (TQM).

The underlying quality guidelines are the "European Statistics Code of Practice" and the "Quality Standards of Official Statistics".

12. Relevance Top
12.1. Relevance - User Needs

The main users of PRODCOM/industrial products statistics data are:

  • Besides Eurostat and other international users like the United Nations, data is necessary for national purposes and therefore required by ministries and other governmental bodies.
  • Also non-governmental users can be found like associations representing different economic branches or industries, the media or researchers and students.
  • The data is also used in other statistics and internal processes, like the national accounts or price statistics.
12.2. Relevance - User Satisfaction

Every second year we have a commitee of experts where users, mainly associations form different industries, and representatives of the field of industry statistics of the Federal Statistical Office come together to discuss statistical issues to improve statistics. Prodcution statistics is also a part of these regularly meetings.

This commitee of experts is the only user feedback we get, since there is no user satisfaction survey for this statistics.

12.3. Completeness

The Prodcom data delivered to Eurostat is not fully complete:

The reason for this is that we have a national classification that differs in some aspects from the Prodcom List. For some Prodcomcodes we cannot deliver the volume of total and sold production, since the national classifiaction has a different measuring unit which cannot be converted into the measuring unit that is asked by Prodcom List.

Also, the national classification cannot change as fast as ProdcomList does. When there are new products or new segmentations of products (e.g. splits) it is possible that the national classification does not include those new products or new segmentations. Due to the fact that the production survey is based on the national classification and not the ProdcomList, for some codes we cannot deliver figures at all or we have to estimate the shares of a national product code for Prodcomdata.

In 2019 we had a big update of the national classifiaction where Germany adopted the national classification to ProdcomList as good as possible. But national user needs are considered as well. So we cannot adopt the ProdcomList in every case.

In general the national classification is more detailed than the ProdcomList (9 digit code). That means we also have additional information of some products that are not availabe on the Prodcomlevel.

13. Accuracy Top
13.1. Accuracy - overall

As this survey is a census with industrial local units belonging to an enterprise with 20 or more employees being obtained from the national statistical Business Register, all companies in the relevant NACE groups of section B and C are surveyed.

1. Response-rate:

At the end of the reporting year the response-rate is not applicable because due to the fact of imputation for non-response there are no local units with missing data in the dataset. If imputation is not considered for response-rate than the imputation rate and response rate are equal in the German system of compiling production statistics.

2. Item non-response-rate

The item non-response does not apply. In Germany we have online survey. If someone reports under a certain national product code, every variable must be filled out in an online survey. If one item is missing, the data cannot be transmitted and the questionaire cannot be finalized. If a local unit doesn't report under one product code, although he is actually producing it, it is hard to dedect it as a "missing item". In case a local unit no longer reports a certain product code, we contact them and ask whether it has been forgotten, for example, or if it is no longer being produced.

3. Imputation-rate

In 2020, the imputation rate of the PRODCOM survey for Sales production value was 2,6% (2019: 2,0%) and for Sales production volume was 2,5% (2019: 1,9%).

13.2. Sampling error

The survey is done as a cut-off survey, all units above a certain threshold are included. Since there is no grossing up for units below this threshold, there is no sampling error.

13.3. Non-sampling error

Possible errors may be:

  1. Local units may be missing if they are not registered as manufacturing industry even though they belong to manufacturing industry (undercoverage).
  2. In case of delivering incorrect data or the incorrect classification of products, measurement errors and data processing errors may occur. Therefore, a plausibility check is taken place.
  3. In case of unit nonresponse or delayed answers, estimation values are inserted in monthly production survey.

14. Timeliness and punctuality Top
14.1. Timeliness

PRODCOM data are submitted to Eurostat within t+6 months.

Quaterly data of the German industrial production statistics are published quarterly within t + 3 months.

Annual data of the German industrial production statistics are published within t + 4 months.

14.2. Punctuality

The statistics are published on the scheduled date. At least in the last three years, there have been not late publications.

15. Coherence and comparability Top
15.1. Comparability - geographical

The production survey is performed with the same methods for all German Federal States. The geographical comparability is given fully on national level.
The results of PRODCOM are comparable with the results of the states of the European Union.

15.2. Comparability - over time

The comparability over time is given in between one reference year. Due to methodological changes, there is a certain dynamic in the production statistics which limits the comparability over time:

1. In general revision in NACE and changes such as product innovations and the general revision of NACE will regularly lead to changes of the Germany product classification (GP) about every seventh year. An extensive revision of NACE in 2008 has resulted in changes to the Germany product classification (GP) for the 2009 survey and onwards. In 2019, we introduced the Germany product classification (GP) 2019. There are new products and new segmentations of products. In general, the classifiaction adapted more to the PRODCOM List. For new codes or new arranged codes that arise with new versions of classifiaction comparabilty over time is limited. With new codes or rearranged codes appearing with new versions of the classification, comparability decreases over time. The same applies to the PRODCOM list, which changes about every second year, with sometimes minor and sometimes major changes.

2. The basic survey population can change because of legal changes in statistical law in order to reduce burden of enterprises: E.g. since the reference year 2007 in some small structured branches the threshold for local units increased from 10 to 20 employees.

3. Every fifth year, there is a revision of the HS (Harmonized System) which will result also in more significant changes to CN and Prodcom. The latest major revision was in 2012.

15.3. Coherence - cross domain

In general there is no other official statistics where production is surveyed.

1. Coherence with Short-Term Statistics (STS):

There are consistency checks with the monthly report of local units of NACE section B and C because both statistics have exactly the same survey population. The German Federal States which are responsible for suveying the local units compare the sold production with the turnover (monthly / quarterly) on the micro data level. If there is an unusual divergence between these two values the local unit is contacted to check the data and either to correct the data or to explain the differences.

2. Coherence with Structural Business Statistics (SBS):

There are no consistency checks with SBS because definitions and mehtods are too different. Enterprises are surveyed instead of local units and the SBS for NACE sections B and C is a sample which is extrapolated to calculate results for the whole target population. These and other reasons explain why the returns and sold production can be very different. Since big differences are normally a comparison does not take place.  

3. Coherence with trade:

There are no consistency checks with trade statistics. Data of production statistics are comparable with the results of the external trade statistics concerning the definitions of the product types. So the calculation of the domestic availability of products is possible with some restrictions.

4. Coherence with national accounts:

There are no consistency checks with national accounts. The results of the production statistics are used by the national accounts. The national accounts is one big user of the production statistics.


15.4. Coherence - internal

National Production data is coherent within itself. The online survey and other validation checks garantee this internal coherence.

16. Cost and Burden Top

The burden on respondents for the industrial productuction statistics has been calculated to 16.6 million Euro in 2017. All together there were about 45.000 local units reporting for the production statistics in 2017. About 24.300 are reporting quarterly and 20.700 monthly.

Since using electronic data transmission methods that are offered to the respondents (IDEV, sStatistik.Core) the burden for the enterprises was reduced significantly. The cost-reducing effect of electronic data transmission was calculated at 1.9 million euros. For the production statistics, there are no cost calculations available on the burden on the statistical agencies in Germany.

There are no cost calculation available for the production statistics concerning the burden of the statistical agencys in Germany.

17. Data revision Top
17.1. Data revision - policy

The data submitted at the end of June is final and will be revised if necessary.

17.2. Data revision - practice

The Federal Statistical Office will provide revised versions of the previous year when relevant.

18. Statistical processing Top
18.1. Source data

The survey population is selected from the statistical Business Register. The Register contains all German local units with their industry classification, number of emplyees and other information.
The survey population is generated by a cut-off threshold. All local units belonging to an legal unit with 20 or more employees classified to NACE divisions 07 through to 33 are included (NACE Rev.2 sections B and C). Also covered are local units which belong to legal units of other NACE sections with 20 or more employees. The design reduces the burden for smaller businesses.

18.2. Frequency of data collection

Data are collected monthly from local units with 50 or more employees and on a quarterly basis with 20 or more employees. The latter are therefore not part of the monthly survey.

18.3. Data collection

National data collection is decentralised and organised by the 14 regional statistical offices. 

The data is collected by means of an online survey. The online survey and instructions for companies are available at

The online system includes consistency checks and validation of the data.

Each respondent receives an individual form based on the previous year's report. The reported production codes of the previous period are thus pre-assigned.

18.4. Data validation

The data are validated through a number of validation checks which for example include consistency checks over time for production value and volume for each respondent and consistensy checks over time for the unit price of each code. Reporting under product codes that are not typical for the NACE code activity of the reporting unit is also controlled.

Data validation checks are performed on regional and national level. Conspicuous values are checked along with the reporting unit.

18.5. Data compilation

There is an internal IT system for validation checks and editing data of the respondent. Once the data has been scanned, the edits are made and any problems or discrepancies that occur with the data are checked and corrected if necessary.

The PRODCOM data are generated based on the national production survey. The annual national data with the national codes on 9-Digit level are transformed to the 8-Digit PRODCOM code level and checked again to ensure its quality before transmitting to EUROSTAT. As the PRODCOM survey population is selected from the statistical Business Register, any issues detected are fed back to enhance the register’s quality.

In the event of technical or methodological changes, staff are trained so that they are familiar with the survey processes.

18.6. Adjustment

At the national level, the production index is published monthly and quarterly. The production index contains the production of the NACE sections B,C,D and F.

The production index publishes calendar and seasonally adjusted results using the X13 JDemetra + method or the Berlin method.   

19. Comment Top

Comment on the impact of the Covid-19 pandemic:

The Covid-19 pandemic had no impact on the survey and on the work in the statistical Office for the reference year 2020. There were no changesin the survey and there were no problems with meeting deadlines.

Related metadata Top

Annexes Top