Statistics on the production of manufactured goods (prom)

National Reference Metadata in Euro SDMX Metadata Structure (ESMS)

Compiling agency: National Institute for Statistics, Istat


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

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1. Contact Top
1.1. Contact organisation

National Institute for Statistics, Istat

1.2. Contact organisation unit

Business Statistics Directorate

Division for Statistics on Production and Foreign Trade

1.5. Contact mail address

 

Via Tuscolana 1788 – 00173 Roma

 


2. Metadata update Top
2.1. Metadata last certified 09/09/2021
2.2. Metadata last posted 09/09/2021
2.3. Metadata last update 09/09/2021


3. Statistical presentation Top
3.1. Data description

PRODCOM carried out in compliance with EU Council Regulation on the Establishment of a Community Survey of Industrial Production (No.3924/91), consists of the following set of indicators:

  •     the physical volume of production sold during the survey period,
  •     the value of production sold during the survey period,
  •     the physical volume of actual production during the survey period, including any production which is incorporated into the manufacture of other products from the same undertaking.


The survey sample is little more than 40,000 enterprises, covering about 230 industries, derived from sub-sectors of the total manufacturing sector, and about 4,000 products (that include also industrial services).

Covid-19 crisis had no impact on the carrying out of Prodcom data collection. 

 

 

 

 

3.2. Classification system

In the PRODCOM classification, products are grouped by the NACE Rev.2, 4-digits industrial sectors, in which they are primarily produced (i.e. characteristic products). The value and volume data shown for a product, therefore, includes not only the production by enterprises classified to the NACE sector where it is primarily produced but also its secondary production by enterprises classified to the other NACE Rev.2 sectors.

Classification of Products:

The PRODCOM list is divided into "Classes" corresponding to the classes of NACE rev 2. Within the individual classes, the headings of the list are set out in ascending order of their PRODCOM codes. PRODCOM uses an eight-digit product code of the form XX.XX.XX.YY. The first four digits of the code correspond to the 4-digit classes of NACE Rev. 2. The first six digits are the Community Classification of Products by Activity (CPA) codes. The CPA provides a detailed listing of the characteristic products for each 4-digit NACE Rev. 2 economic activity. The last two digits provide a more detailed breakdown of the CPA classes into PRODCOM product headings. There is a direct link between the PRODCOM classification and the EU foreign trade Combined Nomenclature (CN). Each PRODCOM 8-digit heading covers one or more CN 8-digit headings.

At national level:

To view the national classification, please see ATECO2007 (http://www.istat.it/it/archivio/17888).

3.3. Coverage - sector

The survey covers all industrial enterprises with 3 or more employees, engaged in industrial production and industrial services in the Mining, Quarrying, and Manufacturing industries.

Under Prodcom, the NACE Rev2 classification is having covered the sections B and C, comprising sections 07-33, but excepting 09 and 19 and from reference year 2019, are included two codes of section 38.

In order to fulfil the regulation provisions (to reach 90% representativeness, art.3), a probabilistic sample based survey strategy has been designed. It involves a sample of small industrial enterprises (from 3 to 19 employees) and the totality of units that belong to medium and large companies (20 employees and over).

The sampling method is based on an equiprobabilistic selection in each stratum, obtained by the combination of the three variables: class of employees, class of economic activity and geographical breakdown. Variables that are used to evaluate the sample size in each stratum are: turnover, added-value and number of employees. The size is obtained by applying the Bethel method.

 

3.4. Statistical concepts and definitions

The survey covers all industrial enterprises with 3 or more employees, engaged in industrial production and industrial services in the Mining, Quarrying, and Manufacturing industries.

Under Prodcom, the NACE Rev2 classification is having covered the sections B and C, comprising sections 07-33, but excepting 09 and 19 and from reference year 2019, are included two codes of section 38.

In order to fulfil the regulation provisions (to reach 90% representativeness, art.3), a probabilistic sample based survey strategy has been designed. It involves a sample of small industrial enterprises (from 3 to 19 employees) and the totality of units that belong to medium and large companies (20 employees and over).

The sampling method is based on an equiprobabilistic selection in each stratum, obtained by the combination of the three variables: class of employees, class of economic activity and geographical breakdown. Variables that are used to evaluate the sample size in each stratum are: turnover, added-value and number of employees. The size is obtained by applying the Bethel method.

3.5. Statistical unit

The reporting unit is Enterprise. The observation unit is Local Unit(s).

The results are compiled at enterprise level before being published.

3.6. Statistical population

The survey population is made up of all industrial enterprises in NACE 07-33, 38322, 38323 with more than 20 employees and a sample of small industrial enterprises (from 3 to 19 employees).

The population is selected every year from Statistical Business Register.

3.7. Reference area

Italy - whole national territory.

3.8. Coverage - Time

The period observed is one calendar year.

Italian industrial products statistics date back to 1996.

Electronically, data from 1996 onwards are available at https://ec.europa.eu/eurostat/web/prodcom/data/excel-files-nace-rev.2.

For 1996 to 2007, the files contain the original data based on NACE Rev.1.1. For 2008 onwards, the files contain data that has been converted where possible to NACE Rev.2.

3.9. Base period

Not aplicable.


4. Unit of measure Top

For Volume: Physical measurement unit required by Prodcom list, specific for each product.

For Value: Thousand Euro (excluding VAT and excise duties).


5. Reference Period Top

Year 2020.


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

The survey is carried out in compliance with following regulations:

European Union law: Regulation No.3924/1991: EU Regulation (EEC) No.3924/91 of 19 December 1991 on the establishment of a Community survey of industrial production. Regulation No. 2019/1933 of the Commission, of 6 November 2019, establishing the "Prodcom list" of industrial products referred to in Regulation (EEC) no. 3924/91 of the Council (GUUE 29 November 2019, n. L 309).

National law: The process is included in the National Statistical Program (PSN) annually approved by Decree of the President of Republic. The (DPR) of 25 November 2020, approving PSN 2017-2019, updating 2019.

The statistical survey is mandatory to be filled-in by the private units. More info about national law regarding statistics here: http://www.istat.it/it/istituto-nazionale-di-statistica/organizzazione/normativa.

6.2. Institutional Mandate - data sharing

Not applicable.


7. Confidentiality Top
7.1. Confidentiality - policy

According to the article n. 9 of the Legislative Decree n. 322 of 6 September 1989 data collected by statistical offices within the statistical surveys included in the National Statistical Programme may not be disclosed other than in aggregated form such that no reference to identifiable people can be extracted. Furthermore, they may be used only for statistical purposes. Data may not be communicated or disseminated neither to any external subject, public or private, nor to any department of the public administration other than in aggregate form and using modalities which prevent the identification of the people involved. In any case, data cannot be used to identify again the people involved. The Code of Conduct annexed to the Legislative Decree no. 196 of 30 June 2003 (Personal Data Protection Code) and Legislative Decree no. 101 of 19 September 2018 (General Data Protection Regulation) provides special rules concerning the processing of personal data for statistical purposes within Sistan. In order to make statistical secrecy confidentiality and protection of personal data effective, Istat is currently taking appropriate organizational, logistical, methodological and statistical measures in accordance with internationally established standards. In accordance with the Legislative Decree no. 196 of 30 June 2003 (Personal Data Protection Code) and subsequent modifications and additions, respondents are informed of their rights and obligations with regard to the provision of information, and they are assured that the information they provide will be used for statistical purposes only. Special aggregation rules have been developed to ensure that indirect disclosure of individual data does not occur when aggregations of data are presented. For instance, access to individual data is restricted to staff who require the information in the performance of their duties. Provisions are in place to supervise analysts that require access to disaggregated data.

7.2. Confidentiality - data treatment

The Statistics Italy's confidentiality policy for Prodcom data established that a certain Prodcom code will be flagged where there are less than 3 reporting companies (for each published indicator).


8. Release policy Top
8.1. Release calendar

The annual data for 2020 will be available at: http://dati.istat.it/?lang=en.

8.2. Release calendar access

The release calendar can be accessed at: https://www.istat.it/en/information-and-services/journalists/release-calendar.

8.3. Release policy - user access

The information is available on line on https://www.istat.it/it/archivio/223053.


9. Frequency of dissemination Top

Data are disseminated at national level on yearly basis.

Data are provided to Eurostat on yearly basis.


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

Not avalaible.

10.2. Dissemination format - Publications
  • Statistica annuale della produzione industriale - Anno 1996 (2000), Info: Col.informazioni (http://www3.istat.it/dati/catalogo/schedavolume.php?ID=726)
  • Statistica annuale della produzione industriale - Anno 1997 (2001), Info: Col.informazioni (http://www3.istat.it/dati/catalogo/schedavolume.php?ID=736)
  • Statistica annuale della produzione industriale - Anno 1998 (2001), Info: Col.informazioni (http://www3.istat.it/dati/catalogo/schedavolume.php?ID=747)
  • Statistica annuale della produzione industriale - Anno 1999 (2002), Info: Col.informazioni (http://www3.istat.it/dati/catalogo/schedavolume.php?ID=785)
  • Statistica annuale della produzione industriale - Anno 2000 (2003), Info: Col.informazioni (http://www3.istat.it/dati/catalogo/schedavolume.php?ID=808)
  • Statistica annuale della produzione industriale - Anno 2001 (2004), Info: Col.informazioni (http://www3.istat.it/dati/catalogo/20040315_00)
  • Statistica annuale della produzione industriale - Anno 2002 (2004), Info: Col.informazioni (http://www3.istat.it/dati/catalogo/20050215_02)
  • Statistica annuale della produzione industriale - Anno 2003 (2006), Info: Col.informazioni (http://www3.istat.it/dati/catalogo/20060419_01)
10.3. Dissemination format - online database

Online DB "I.Stat" (data from 2011): http://dati.istat.it/?lang=en&SubSessionId=6f7f122a-34b5-4c29-9fe6-62ebc0f58b96.

10.4. Dissemination format - microdata access

As part of microdata release, Istat offers a research data center: ADELE Laboratory (Laboratory for Elementary Data Analysis), a "secure" site accessible by researchers and academics enabling them to conduct their own statistical analyses on microdata from the Institute's surveys in compliance with legislation concerning the confidentiality of personal data (https://www.istat.it/en/information-and-services/researchers/laboratory-for-elementary-data-analysis).

10.5. Dissemination format - other

Tables: Statistica annuale della produzione industriale. Anno 2004  https://www.istat.it/it/archivio/13543

Tables: Statistica annuale della produzione industriale. Anno 2005 http://www.istat.it/it/archivio/13524

Tables: Statistica annuale della produzione industriale. Anno 2006 http://www.istat.it/it/archivio/13432

Tables: Statistica annuale della produzione industriale. Anno 2007 http://www.istat.it/it/archivio/9815

Tables: Statistica annuale della produzione industriale. Anno 2008 http://www.istat.it/it/archivio/12602

Tables: Statistica annuale della produzione industriale. Anno 2009 http://www.istat.it/it/archivio/43647

Tables: Statistica annuale della produzione industriale. Anno 2010 http://www.istat.it/it/archivio/73150

Tables: Statistica annuale della produzione industriale. Anno 2011 http://www.istat.it/it/archivio/102585

10.6. Documentation on methodology

On webpage of online database, there is a short description of methodology. (http://dati.istat.it/?lang=en, and choose in left-upper side the theme "Industry and Construction", then "Production" and "Production volume").

10.7. Quality management - documentation

No documentation on quality management are available on NSI's site.


11. Quality management Top
11.1. Quality assurance

Since ‘90s Istat adopted a systematic approach to ensure quality in both statistical information and service to the community. For this purpose, the Institute has defined a quality policy providing itself with appropriate tools as well as management changes to carry it out.

Istat quality policy is coherent with the European framework developed by Eurostat, taking up its main principles and definitions. In 2005, the European Statistics Code of Practice (revised in 2011) established the principles to follow in order to ensure and strengthen both accountability and governance of the European Statistical System and the National Statistical Systems within it.

Essential points of Istat quality policy are:

    Process quality: consisting in the production of accurate statistical information efficiently and effectively;
    Product quality: consisting in the dissemination of high-quality timely statistical data which are relevant for the users, also the potential ones;
    Documentation: consisting in the storage and availability of information necessary not only for a proper use of data but also to ensure transparency in all the production activities of statistical data;
    Respect for respondents: consisting in the reduction of response burden and in the respect of respondent's privacy;
    Strengthening of statistical literacy: consisting in promoting a proper use of statistical information in policy-making to better support decisions and policies;
    Users' orientation: consisting in making statistical information easily accessible and understandable and in satisfying user needs as much as possible.

For details: http://siqual.istat.it/SIQual/visualizza.do?id=5000076.

11.2. Quality management - assessment

The Information System provides a number of arithmetic and logical controls, both mandatory and optional between the items in each form and between the forms in the whole annual report. There are a number of arithmetic and logical controls inside the PRODCOM form. The System calculates both the totals and the unit price. The PRODCOM questionnaire cannot be completed successfully before all errors inside the questionnaire, detected by the checking program, to be corrected.

Covid-19 crisis had no impact on the quality results.

Data editing activities were strengthened in order to face accuracy and completeness issues of data provided by businesses.

 

 


12. Relevance Top
12.1. Relevance - User Needs

The main users of PRODCOM data can be presented in different groups, namely:

EXTERNAL/ INTERNATIONAL (OUTSIDE NSI): Eurostat;

EXTERNAL/ NATIONAL (OUTSIDE NSI), like:

    Institutions at national level - governmental (Ministry of Economy; Ministry of Agriculture and Food, ENEA the Italian National Agency for New Technologies, Energy and Sustainable Economic Development);
    Institutions at national level - non-governmental (Trade associations; Researchers and students, Companies);

INTERNAL (INSIDE NSI): Environmental statistics, National accounts,  STS,  Agriculture statistics, Business Register.

 

12.2. Relevance - User Satisfaction

No user satisfaction survey has been done for Prodcom.

12.3. Completeness

In Italy are inquired all codes from of the Procom list.

Quality indicator: 100%.

In advance there are some codes that exist only for Italian dissemination (are typical Italian production i.e. in the food industry).


13. Accuracy Top
13.1. Accuracy - overall

For 2020, the response rate is 58% of all enterprises surveyed.

The main causes of non-response are: misclassification of economic activity (activities outside of sections B and C, Nace Rev.2), inactive, merger, split off, unreachable unit.

After checking if the company has stopped or suspended its activity during the reference year, the non-responses were estimated using the previous year data and data from other sources. In case of partial responses, that concerns basically missing volume data, estimates for missing volumes are done by using the median unit price from the other respondent companies.

13.2. Sampling error

A probabilistic sample has been designed. It involves a sample of small industrial enterprises (from 3 to 19 employees) and the totality of the local units that belong to medium and large companies (20 employees and over).

The sampling method is based on an equiprobabilistic selection in each stratum, obtained by the combination of two variables: class of employees, class of economic activity and 4 geographical breakdowns (NUTS1). The variables used to evaluate the sample size in each stratum are: turnover, added-value and number of employees. The optimal sample size is obtained by applying the Bethel method.

In order to ensure adequate coverage, productive local units belonging to companies having main activities outside the industrial sectors covered by Prodcom are included in the survey as well. The required coverage levels for Prodcom survey is achieved by means of a grossing up technique. The estimation technique currently adopted makes use of a calibration method based on the auxiliary variables number of enterprises and number of employees belonging to industrial companies included in the target population. The sampling CV (coefficients of variation) of each statistic (added-value and number of employees) is estimated by the ratio between square root of sampling variance estimate and parameter estimate in each estimation domain.

Coefficient of Variation = 0.05 for each statistic (added-value and number of employees) (for the formula see http://ec.europa.eu/eurostat/documents/64157/4373903/02-ESS-Quality-and-performance-Indicators-2014.pdf/5c996003-b770-4a7c-9c2f-bf733e6b1f31). This value is set in the phase of the sampling selection using the Bethel procedure.

13.3. Non-sampling error

Measurement errors: Respondents have problems with the questions about the produced volume, sometimes they have to provide estimations.

Non-response errors: After the first publication, new response will cause adjustments.
 

Response rates:Unweighted response rate (number of enterprises): 58%

 

 

Sold production value 

Sold production quantity

Actual Production quantity

Unweighted imputation rate (number of items)

6,79%

6,66%

13,55%

 
 
Item non-response:

Item non-response rate has not calculated because would be heavily influenced by the accuracy of the selection made by Statistics Italian that provides for each respondent a selection of Prodcom product groups, which are expected to be relevant to the respondent, based on historical data and the NACE classification. This selection will often contain product groups in which the respondent has no production.

 
The frame for unit Local units is Italian Statistical Business Register managed by Istat (National Statistical Institute of Italy).

The quality actions to control unit nonresponse are:
  • Survey presentation letter signed by Istat President
  • Guarantees on statistical confidentiality

Editing and imputation procedures are used to correct for item nonresponse and measurement errors.

Data are validated to the following actions:
  • Coherence control with data from other surveys or sources
  • Coherence control with previous data of the same survey
  • Control of influential unit data, strongly contributing to computation of aggregates (e.g. large enterprises).


14. Timeliness and punctuality Top
14.1. Timeliness

Data are disseminated at national level Yearly.

Data are provided to Eurostat Yearly within t+6 months.

 

14.2. Punctuality

In Italy, the Prodcom data are usually published without delay in relation to the scheduled date.


15. Coherence and comparability Top
15.1. Comparability - geographical

Not applicable.

15.2. Comparability - over time

Length of comparable time series:
Variable Length Note Total Production from 01/1996 to today
Sold production (volume) from 01/1996 to today
Sold Production (value)from 01/1996 to today
An extensive revision of NACE in 2007 has resulted in changes to PRODCOM estimates for the 2008 survey onwards.

Every 5th year, there is a revision of the HS (Harmonized System) which will lead also to more significant changes to CN and Prodcom.

Revision in NACE will also affect Prodcom. Prodcom data from 1995­ to 2007, based on NACE Rev.1.1, have been backcasted to NACE Rev.2 by Eurostat.

15.3. Coherence - cross domain

For each domain is checked the coherence with previous data.

No control coherence with other statistical surveys for different nature and/or frequencies, for different approaches, classifications and methodological standards.

15.4. Coherence - internal

Growth rate in the region of acceptance.


16. Cost and Burden Top

Average company's time to fill in the survey: about 2 hours.

Actions to reduce burden: pre-filled questionnaire and single sign (access with a unique user id and password), using enterprise portal.

Just for the sample we use a coordinated selection of Jales technique (a sampling technique).


17. Data revision Top
17.1. Data revision - policy

For details: http://www.istat.it/it/congiuntura/revisioni.

17.2. Data revision - practice

Not applicable.


18. Statistical processing Top
18.1. Source data

The survey sample is selected from Statistical Business Register. PRODCOM estimates cover Italy’s registered businesses for over 90% (we made census for enterprises with 20 or more employees, which totals over 30.000 units).

For the enterprises with less than 20 employees we made a sample of about 10.000 units (while the population in Italy is over 180.000). VAT and turnover is classified to NACE divisions 07-33. Businesses are selected by employment size, industry classification and geographical breakdowns, using a stratified random sample. Additional constraints are built into the sample design so to decrease the form filling response burden on smaller businesses. The number to be selected has been calculated to minimize the burden of sampling, without compromising the calculation of final estimates.

The sampling method is based on an equiprobabilistic selection in each stratum obtained by the combination of two variables: class of employees, class of economic activity and geographical repartitions. The variables used to evaluate the sample size in each stratum are: turnover and number of employees. The determination of sample size and its allocation between the stratum occurred requiring that the expected error in the estimated total (error expressed in terms of coefficient of variation) of the variables considered were less than 5 percent in each domain of study represented by the class of economic activity. The allocation of the sample in the layers was achieved by adopting a multivariate allocation algorithm proposed by Bethel, which is a generalization of the method of Neymann for only one variable, and that allows to minimize the sample size so as to satisfy the constraints precision of the estimates for each of the variables considered of interest, relative to the domain estimation.

18.2. Frequency of data collection

On a yearly basis.

18.3. Data collection

Data collection:

Self-administered data collection by e-questionnaire (Computer Assisted Web Interviewing-CAWI)
The web questionnaire and instructions for companies are available at https://indata.istat.it/prodcom/.

The quality actions to control unit nonresponse are:

  •    Survey presentation letter signed by Istat President
  •    Guarantees on statistical confidentiality
  •    Coercive measure: the answer to the statistical process is mandatory with penalties for enterprises with over 100 employees.
18.4. Data validation

Data are validated to the following actions:

  •     Coherence control with previous data of the same survey
  •     Control of influential unit data, strongly contributing to computation of aggregates (e.g. large enterprises).
18.5. Data compilation

Steps of data compilation in Prodcom statistics of Italy:

1.     Error detection based on consistency edits
2.     Manual error correction forcing wrong values on the base of deterministic rules as reported in a manual or document
3.     Manual error correction forcing wrong values on the base of previous correct data of the same survey
4.     Manual error correction based on reporting unit follow-up
5.     Manual coding assisted by paper lists (manuals, listings) or computer screens
6.     Data entry by Istat section in charge of the survey
7.     Outsourcing data entry
8.     Splitting questionnaire according to various record types
9.     Deterministic error and outlier detection and imputation based on deterministic rules (IF-THEN)
10.   Error and outlier detection and imputation by clerical reviewers based on experience
11.   Error and outlier detection and imputation by clerical reviewers based on data from previous editions of the same survey
12.   Error and outlier detection and imputation by clerical reviewers based on questionnaire review
13.   Error and outlier detection and imputation by clerical reviewers based on respondent follow-up
14.   Deterministic error and outlier detection and imputation by clerical reviewers based on experience
15.   Deterministic error and outlier detection and imputation by clerical reviewers based on data from previous editions of the same survey
16.   Deterministic error and outlier detection and imputation by clerical reviewers based on data from other surveys or sources
17.   Deterministic error and outlier detection and imputation by clerical reviewers based on questionnaire review
18.   Deterministic error and outlier detection and imputation by clerical reviewers based on respondent follow-up
19.   Deterministic error and outlier detection and imputation by clerical reviewers based on the available auxiliary variables
20.   Estimate calculation.

 

18.6. Adjustment

Not applicable for Prodcom data.


19. Comment Top

No comment.


Related metadata Top


Annexes Top