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For any question on data and metadata, please contact: Eurostat user support |
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1.1. Contact organisation | Statistics Austria |
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1.2. Contact organisation unit | Directorate "Business Statistics" Department "Short Term Statistics" |
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1.5. Contact mail address | Bundesanstalt Statistik Österreich A-1110 Wien, Guglgasse 13 |
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2.1. Metadata last certified | 31/08/2023 | ||
2.2. Metadata last posted | 31/08/2023 | ||
2.3. Metadata last update | 31/08/2023 |
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3.1. Data description | |||
The Austrian Production Statistics Survey (APS) is traditionally an integral part of the monthly Short Term Statistics Survey (STS-survey) which forms - together with the yearly Structural Business Statistics Survey (SBS) and the Material Input Statistics Survey (MIS) - a unique and coherent statistical framework. So, PRODCOM is a monthly survey resp. statistics in Austria. Impact of Covid-19: PRODCOM is a monthly survey in Austria. The partly Covid-lockdowns in Austria only caused a very few individual reporting delays on the part of the respondents. Due to the follow-up reporting of the missing data, there is no influence on the annual Austrian Prodcom data for the reporting year 2022. These three main economic statistical surveys STS, SBS and MIS cover and analyse all statistical activities with reference to NACE Rev. 2 - sections B to F resp. divisions 05 to 43 – in Austria called “Industry and Construction”. They are embedded in a particular conceptual framework which guarantees a maximum of synergies and coherence in accordance to the identification and selection of the statistical observation and reporting units as well as minimizing the response burden for small enterprises. The monthly Short Term Statistics consist of the following statistical sub-domains at legal unit (LEU) and local kind of activity unit (LKAU - resp. a unit, which is similar to the LKAU):
The data of para 1 to 5 at certain aggregate levels are primarily used to calculate the STS-indicators in accordance to Regulation (EC) No. 1165/98 concerning Short Term Statistics (in its current version) and to calculate the Labour Cost Index with reference to Regulation (EC) No 450/2003 (LCI – ref. to para 2 and 3 - in its current version) as well as to make cyclical forecasts. On the other hand the data of production statistics serve as a basis for calculating production and productivity indices – but mainly serving the needs of the PRODCOM: Regulation (EU) 2019/2152 of the European Parliament and of the Council of 27 November 2019 on European business statistics, repealing 10 legal acts in the field of business statistics and Commission Implementing Regulation (EU) 2020/1197 of 30 July 2020 laying down technical specifications and arrangements pursuant to Regulation (EU) 2019/2152 of the European Parliament and of the Council on European business statistics repealing 10 legal acts in the field of business statistics. This Community Statistics survey on industrial production was therefore designed to allow alignment with foreign trade statistics via linking with CN/HS wherever possible, and thus obtain detailed information about national and European markets, too. |
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3.2. Classification system | |||
The Austrian national commodity list - the so called "OEPRODCOM list" - is based on the entire list of headings out of the latest PRODCOM-list valid for the reference year. These headings are often extended with two extra digits because of their importance to national market analysis. Therefore the Austrian national codification consists of 10 digits. The product list is extended by further product headings for the NACE Rev. 2-divisions 05 and 06, 35, 36, 37 and 39 as well as 41 to 43 and additionally for products representing mostly secondary activities in accordance to NACE Rev. 2-divisions 45 to 96 (only market profit oriented activities - in Austria called “product related services”, mostly created as extensions of existing CPA-sub-categories (CPA 2015 6-digits extended to OEPRODCOM 10-digits). If it is necessary to define further headings for national purposes which cannot be based on valid PRODCOM 8-digits or a certain CPA 2015-level (so called “black box” or “dummy” headings, often reflecting production plants, special industrial services like repairs, establishing, erecting, maintenance or other performances which cannot be identified in the PRODCOM-list) are defined. However, these codes must fit into one of the valid hierarchical levels of the CPA 2015. The Austrian OEPRODCOM is the groundwork for the branch specific commodity lists 1 (containing all products and services in accordance to the NACE Rev. 2-divisions 05 to 43) and the commodity list 2 (product related services referring to all CPA 2015 based “products” at six digit level – only value – of NACE Rev. 2-division 45 to 96). The commodity lists 1 often do not show the original PRODCOM wording, but instead the description of the headings is to a certain extend hierarchically structured in regards to improve the user-friendliness. |
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3.3. Coverage - sector | |||
The Austrian STS survey coverage is limited to Sections B to F od NACE Rev. 2, this means all relevant statistical units which carry out at least one of the activities in Section B (“Mining and Quarrying”), C (“Manufacturing”), D (“Electricity, Gas, Steam and Air Conditioning Supply”), E ("Water supply; Sewerage, Waste Management and Remediation Activities) and F (“Construction”) of the Statistical Classification of Economic Activities in the European Community (NACE Rev. 2). |
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3.4. Statistical concepts and definitions | |||
In principle the Austrian OEPRODCOM survey concept differentiates between the following production types:
For Eurostat-reporting purposes the following reporting types are calculated:
Data in accordance to the headings referring to the NACE Rev. 2-groups/class/sub-class 41.1, 43.2, 43.3, 43.91 and 43.99-1 and to the NACE Rev. 2-divisions 45 to 96 are surveyed for production type “production sold” only. The singular production types have to be recorded for all commodity list OEPRODCOM-headings as far as produced and/or sold in the reporting period. The General Notes in the PRODCOM-list specify, that the “value of production sold/production intended for sale should be calculated on the basis of the ex-works selling price obtained/obtainable during the reporting period. This price includes packaging costs but does not contain turnover taxes, consumer taxes, separately charged costs of freight or any discounts granted to customers”. In the present results of 2022 there was no significant observable COVID-19 effect (see also point 3.1.). |
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3.5. Statistical unit | |||
The Austrian observation unit for STS-survey and hence for the PRODCOM-survey purposes is the legal unit (LEU) and/or the kind of activity unit (KAU), which is considered to be the actual producer in the production process either as a single-KAU-enterprise or a local-KAU-enterprise or a multi-KAU-enterprise. Thus, in Austria the Regulation (EEC) 696/93 is implemented in the framework of STS and PRODCOM. However, due to the small-structured economy in Austria, most of the legal units (LEU) correspond to a KAU, this means LEU=KAU. However, there are some important units where this is not the case and relevant KAU-units were formed. In contrary to this fact, the economical most important operating units in the light of production have alsway been the KAU’s in Austria. |
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3.6. Statistical population | |||
In general, the target population incorporates all active legal units and LKAU's in the Business register with their main and/or secondary activities listed in NACE Rev. 2- sections B to F. According to the national STS-regulation [regulation on Short Term Statistics in Industries and Construction (Konjunkturstatistik-Verordnung)], Federal Law Gazette II No 210/2003, amended by Federal Law Gazette No II 327/2013] the survey population has to cover:
The coverage of the STS-survey and therefore also the PRODCOM-survey is calculated in terms of total turnover of all units with primary and secondary activities within NACE Rev. 2-section B to F (due to a lack of other corresponding information). To sum up, it can be stated that in the Austrian STS-survey (and hence Prodcom-survey) an employment threshold represents the population. Additionally - if the national representation goal of 90 per cent per NACE Rev. 2-division cannot be achieved - subsidiary turnover thresholds are applied (this means that units with less than 20 persons employed are in the survey population). Following these principles, the population of the STS-survey and therefore the Prodcom-survey is framed on the information about employment and turnover. |
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3.7. Reference area | |||
Industral production on national level. |
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3.8. Coverage - Time | |||
National requirements: on a monthly basis. European requirements: yearly. |
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3.9. Base period | |||
Not applicable. |
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For volume: physical measurement unit required by the nomenclature of industrial production (OEPRODCOM-list), specific for each product. For values: in thousands of Euro to be in line with EBS-Regulation. |
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The data are from the calendar year 2022. |
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6.1. Institutional Mandate - legal acts and other agreements | |||
At EU level: Regulation (EU) 2019/2152 of the European Parliament and of the Council of 27 November 2019 on European business statistics, repealing 10 legal acts in the field of business statistics and Commission Implementing Regulation (EU) 2020/1197 of 30 July 2020 laying down technical specifications and arrangements pursuant to Regulation (EU) 2019/2152 of the European Parliament and of the Council on European business statistics repealing 10 legal acts in the field of business statistics At national level: The Regulation on Short Term Statistics in Industries and Construction (Konjunkturstatistik-Verordnung), Federal Law Gazette II No 210/2003, amended by Federal Law Gazette No II 327/2013, following the principles of the Federal Act on Federal Statistics (Bundesstatistikgesetz 2000 - Federal Statistics Act 2000, Federal Law Gazette I, No 163/1999, last amended by Federal Law Gazette I, No 32/2018) serves as legal national basis. |
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6.2. Institutional Mandate - data sharing | |||
Not applicable |
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7.1. Confidentiality - policy | |||
National level: The legal base for statistical confidentiality is:
See also hhttps://www.statistik.at/en/about-us/responsibilities-and-principles/legal-basis/data-protection EU level: Regulation (EC) No 223/2009 on European statistics. |
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7.2. Confidentiality - data treatment | |||
Confidentiality policy in Austria:
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8.1. Release calendar | |||
Eurostat requirements: Yearly: t+6 month after the reference period. National requirements: Monthly: t+90 days after the reference month for monthly OEPRODCOM data. Yearly: t+6 month after the reference period. |
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8.2. Release calendar access | |||
A release calendar as well as a press calendar is on the homepage of Statistics Austria at https://www.statistik.at/en/medien/release-calendar |
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8.3. Release policy - user access | |||
Release is simultaneously with:
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The PRODCOM data are transmitted to Eurostat yearly. |
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10.1. Dissemination format - News release | |||
In general, the monthly figures of the STS-survey are published 90 days after the monthly reference period on the website of Statistics Austria. Press releases Statistics Austria publishes information on the monthly STS survey in the form of a press release, which can also be accessed free of charge on the website under "Presse" at https://www.statistik.at/en/medien/press-releases For PRODCOM-data there is no separate press release.
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10.2. Dissemination format - Publications | |||
The most important national paper and electronic publications concerning to STS and PRODCOM data both on a monthly and annual basis are:
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10.3. Dissemination format - online database | |||
Statistical Database - STATcube: The Database STATcube can be found on the Website of Statistics Austria. |
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10.4. Dissemination format - microdata access | |||
No microdata are available. |
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10.5. Dissemination format - other | |||
Other Figures or other special required data in accordance to the special needs of the applicant either in printed form (tables) or in specific file formats (excel, csv, pdf, ...). |
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10.6. Documentation on methodology | |||
Metadata and quality reports: Standardised national metadata and quality reports for "Short Term Statistics in industry and construction" (pdf document - available in German only). Metadata can be also found in other disseminations (printed brochures, STATcube, ...). These reports can be downloaded on our homepage under the following adress: https://www.statistik.at/en/statistics/industry-construction-trade-and-services/short-term-business-statistics/figures-industry-and-construction (see item "Documentaion"). |
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10.7. Quality management - documentation | |||
Quality management documentation in form of methodology reports and various analyses can be found on the website of Statistics Austria (available in German only) at https://www.statistik.at/en/statistics/industry-construction-trade-and-services/short-term-business-statistics/figures-industry-and-construction (see item "Documentation"). The Prodcom statistics are compiled in accordance with the Statistics Austria's Quality Guidelines. |
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11.1. Quality assurance | |||
Quality checks and validation of data are done throughout the whole compilation process. This is described in the standardised metadata and quality report for "Short Term Statistics in industry and construction" (see item "Documentaion" - available in German only) on the website of Statistics Austria.
Following relevant changes discussions with national experts and the Quality Committee of the Statistical Council of Statistics Austria are held for feedback and modification suggestions. |
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11.2. Quality management - assessment | |||
Statistics Austria has its own internal quality management department. Reports are not only based on best practices, but also on the results of regular (quality) meetings amongst decision-making bodies and users. A commitment to quality of Statistics Austria is available under https://www.statistik.at/en/about-us/responsibilities-and-principles/standards/statistics-austrias-quality-guidelines Detailed information on the latest Peer Reviews (2022 as well as 2006 and 2014) can be found at https://www.statistik.at/en/about-us/international/ess-peer-review-2022 |
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12.1. Relevance - User Needs | |||
External main users The external main users of the Austrian STS-data (and therefore PRODCOM) data are:
Internal users Internally the following statistical projects apply for APS-data either as a weighting system or as basis information:
In general, the monthly production data are among the most popular industrial statistics. Potential users are interested in highly detailed products data as possible. Therefore, the Austrian commodity-list OEPRODCOM includes more breakdowns and subheadings compared to the European PRODCOM-list, including nearly all existing industrial and services activities. Moreover, users need at least total production and production sold data – by quantity (wherever useful) for all physical products as well as valued for all headings. Many users demand production data and foreign trade data to calculate national apparent consumption at a higher level (e.g. 6-digit CPA 2008-level). Therefore, the national publication of production at 6-, 4- and 2-digit levels of the CPA 2008 is one of the most pressing demands of multiple users. Demands on a harmonized survey on production The main aims of a harmonized survey on production are:
The needs of national users can be described as follows:
Main reasons for lack of relevance
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12.2. Relevance - User Satisfaction | |||
User's satisfaction surveys take place at periodic intervals (in general every 2 years). Information can be found on the website: https://www.statistik.at/en/about-us/responsibilities-and-principles/standards/european-statistics-code-of-practice. On the other hand, there are regular meetings with national experts and essential users to react on new requirements, if they are in line with legal necessities or constraints. |
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12.3. Completeness | |||
The Austrian PRODCOM figures are complete (in the light of the level of the required representativeness). As mentioned above (see e.g. point 3.1 and 3.4.) COVID-19 had no observable impact of the completeness of the present results of the reporting year 2022. |
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13.1. Accuracy - overall | |||
Concept of a cut-off survey, therefore no sampling errors. |
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13.2. Sampling error | |||
Because of the fact that the Austrian PRODCOM survey is conducted as a non-probability, non-representative (concentrated) sample (cut off threshold) it is impossible to estimate a sampling error. |
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13.3. Non-sampling error | |||
Impact of COVID-19: The Corona-crises did not have any (significant) impact both on unit non-response and item-non-response. Therefore, the response rate in the Corona crisis year did not deviate from that of previous years (see also the comments below on Unit-non-response). Unit non-response: In Austria we calculate a unit non-response rate, this means the ratio of the number of units with no information or not usable information to the total number of in-scope (eligible) units. From this, an imputation rate can be deducted. Because of the fact, that the monthly PRODCOM statistics is a well-established survey in Austria, the unit-non response rate respectively the imputation rate do not change significantly over the time. The unit non-response rate and therefore the impuation rate for the Austrian PRODCOM results (t+6 month after the reference year is only about 0.7 per cent in 2022. Nevertheless, these units are estimated on basis of a model-based imputation programme, where the missing data are replaced with substituted values. So in summary, the Austrian PRODCOM data are based on more than 99 per cent on primary statistical data (survey data form the respondents). Only about 0.7 to 0.4 per cent were replaced with substituted values. Item-non-response: We do not calculate an item non-response rate, this means a ratio between in-scope units that have not responded and in-scope units that are required to respond to the particular item, separately. The main reason is that we have a monthly PRODCOM survey and missing production variables in one month must not be wrong. Missing volume data are estimated on the basis of unit values assuming that an average unit value can be calculated. If there is only one unit processing the heading concerned, the time series unit value will be taken and evaluated by the consumer price index. Alternatively, the unit value calculated will be compared with the unit value of the aggregated CN-headings concerned. Additionally, specific questions are clarified by telephone or email. Data revision - average size: We do not calculate a data revision average size. The reason is that the Austrian PRODCOM survey is traditionally an integral part of the monthly Short Term Statistics Survey (STS-survey). So, both STS-data and Prodcom-data are edited. The number of edited enterprises varies from month to month and year to year and can not be related in an reasonable manner. It is not useful to compare monthy and yearly data revision actions.
In general, some non-sampling errors must be considered: Response rate Actions to increase the response rate are taken insofar as:
Coverage Among other things the national STS-regulation also includes a degree of coverage (90 per cent criteria). The SBS or administrative data are taken as the source to calculate the coverage as ratio between:
In general, it can be distinguished between the following types of coverage error:
Coverage errors may lead to bias and underestimation of variance. Reasons for undercoverage The following reasons for undercoverage are evident but must be accepted at the moment because of national legal restrictions:
The reason to exclude these LEU's and KAU’s is to minimize or to avoid the respondent burden of mainly in the services sector active single LKAU as well as of small sized enterprises totally. These exclusions however, make it partly impossible to cover the 90% representativeness in some NACE Rev. 2-classes (“small structured branches”) and obviously the use of such a cut off threshold leads to bias as such small enterprises are underrepresented in the survey. Further reasons for undercoverage can be assumed in cases of
Overcoverage In contradiction to the above mentioned undercoverage
Multiple listings No units are present more than once in the frame. Each LEU/LKAU is characterized by an identity number relating to name and address of the unit. Incorrect auxiliary information Two types of auxiliary information in the SBR may lead to errors in the frame of the survey:
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14.1. Timeliness | |||
According to the new EBS-regulation Statistics Austria transmits the yearly PRODCOM data within six months after the end of the reference year. Covid-19 crisis did not lead to an extended time lag for the production of data for the reference year 2022 (on the one hand, Covid-restrictions affected the industrial sector to a very limited degree only in Austria, on the other hand, we have a continuous monthly survey and hence a monthly data basis). |
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14.2. Punctuality | |||
As stated by Eurostat the PRODCOM compliance result for Austrian for the last reference year was "Very Good". Statistics Austria punctually submits the final data for the reference year 2022 to Eurostat in June 2023 and hence timely. So, there were no COVID-19-related punctuality issues in the transmission of the data to Eurostat. On a national level, the first preliminary monthly data are available 90 days after each reference month. |
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15.1. Comparability - geographical | |||
In general, requirements and definitions of the PRODCOM-regulation are applied. General remarks: Concerning the degree of comparability between similar surveys measuring the same characteristics, while being conducted by multiple statistical agencies referring to populations in different geographical entities. Whenever there occur differences between national concepts and European concepts (definition of statistical units, reference population, classifications and definition of observed characteristics), details about these differences in terms of concept and estimation of consequences for resulting statistics should be mentioned. The combination of both information sources will allow an assessment on the level of comparability for the statistics. Comparisons between countries are carried out by EUROSTAT within the framework of the vilification of PRODCOM-data. |
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15.2. Comparability - over time | |||
Comparability over time:
Further remarks concerning the comparability in general: Comparability with other statistics Some users, especially those working in the macroeconomic field, use time series rather than point estimates for a date. The stability of the concepts and methods of measurement is very important to them. Inconsistencies over time occur when the respective data collected for a specific reference period are not entirely comparable with the data of the following periods due to a number of peculiarities in certain time periods. In such cases we say that we have a break in time series. The difference in concepts and methods of measurements between two reference periods should be examined. Micro as well as macro-data (aggregated to NACE-classes or -groups) can be compared with results from previous months and years. Comparability with the Structural Business Statistic (SBS) PRODCOM-data can directly be compared with data from the annual structural business statistic in the production sector on the basis of establishments. As these two statistics are carried out at different points of time, minor deviations (e.g. due to retrospective reorganization) have to considered. Comparability with Foreign Trade Statistic At present a matching between the foreign trade register and the business register is in progress. This will allow the identification of corresponding statistical units and builds the basis for regular comparison between production and foreign trade data. Combinations of the above Comparability problems can arise in pairs, for instance if someone wants to use time series of several countries in order to compare forecasted values. Possible errors The data are comparable over time making certain reservations: Change due to Classifications The PRODCOM-list is changed once a year mainly due to changes in the CPA and the CN. The number of changes varies a lot from year to year. Change due to number of employees Once a year the population is updated with enterprises having surpassed or fallen below the threshold of observation (in general at least 20 employees). During the calendar year no update based on the number of employees implemented. Change due to NACE activity The population is updated with LEU's and LKAU's changing primary or secondary activity into NACE Rev. 2 05 to 33 or out of NACE 05 to 33 once a year. During the calendar year no population update is conducted due to changes in activities. Possible mechanisms for ensuring or increasing comparability Comparability over space In general, analysis and publication by Statistics Austria of STS statistics (and therefore Prodcom statistics, too) are in accordance with the national concept. These results cannot be directly compared with the results for Austria published by Eurostat containing differences arising from the fact that the latter are analysed in accordance with the Community concept, although both are based on the same principles. Comparability over time Changes due to definitions, coverage or methods and other changes will have an impact on continuity. The changes of definition caused by this changeover do not only result in structural changes within detailed results, as shown by changes in the nomenclature, but also in changes of quality aspects such as coherence and comparability between domains and over space. Other changes, such as raising/decreasing the cut off threshold as well as changes in the representativeness criteria or changes in the completeness of the Business Register lead to unexplainable distortions in time series. New Variable Sub-Contracted Work In Austria subcontracted work is a collected variable since many years and added to total production within our publications and data sent to EURSTAT. Therefore, we do not expect a beak in our time series. |
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15.3. Coherence - cross domain | |||
It is too early to evaluate any final coherence issue due to COVID-19. Apart from the fact that provisional and final production data must be coherent to another, information on production can be found in
However, the compilation of the data and the production of the above mentioned statistics follow different recommendations (sources and methods) of mostly different international organizations, i.e. Eurostat, International Monetary Fund (IMF), Organization for Economic Co-operation and Development (OECD), United Nations (UN), World Trade Organization, etc. and therefore the interpretation of the data as well as the understanding sometimes seems to be different and not necessarily coherent. Coherence concerning the number of enterprises in the business register (BR) The STS survey (and therefore the PRODCOM surveys) is based on active enterprises in the BR at the end of a predetermined reference period. Furthermore, in BR enterprises with a yearly turnover of at least 1 000 EUR or with employees are recorded as active, in general. In STS survey the same thresholds for defining an enterprise as active are applied. Coherence between STS-data and production data The production data serve as a base for calculation of the index of production as well as of the national indices of productivity. "Total technical production“ is used for this purpose. Production OEPRODCOM-data are used as well for selection and weighting purposes in the concept of calculation producer price indices. Data obtained according to OEPRODCOM have a high level of information by whom, when, what, how much and in which structure industrial products are processed. Coherence between structural business and final production statistics Production sold in total values can be linked with variable "turnover" of Structural Business Statistics and therefore can serve as a control variable on the conditions that valuation of production sold is coherent with turnover. Coherence between National Accounts and final production statistics Production statistics is one of the most important sources for calculating input-/output tables and therefore the demand for coherence between National Accounts and production statistics is indispensable. Coherence between foreign trade and final production statistics Linking the results of external trade statistics to the results of production statistics could lead to problems in some cases. On the one hand there is no difference made between trade in goods produced in Austria and trade in goods imported and afterwards exported again, which may be called “re-exported imports”. On the other hand, detailed production data are available in accordance with OEPRODCOM, while external trade results conform to the Combined Nomenclature (CN). Since the two classifications are not completely compatible, the only alternative is to link them at aggregated level in accordance with CPA. Nevertheless, a precise connection to CN can be realized for 90% per cent. Coherence between certain branch and final production statistics Needs of information concerning production of sugar, milk and milk-products, oils, fats and other food products as well as of products of the wood industry are of great interest for agricultural and forestry statistics. Production statistics supply data concerning production of certain environmental relevant products especially mining of raw materials and their processing, chemical industry etc. Although energy statistics has own statistics observing production, distribution and consumption of electricity production data are urgently used for comparison and validation of results. New Variable Sub-Contracted Work In Austria subcontracted work is a collected variable since many years and added to total production within our publications and data sent to EURSTAT. Therefore, we do not expect a beak in our time series nor in any coherence to other statistics.
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15.4. Coherence - internal | |||
Provisional data serve as a first source of publication. New and better or revised information of the observation units makes it necessary to adapt the former information until the data are regarded as final. These data are at least unalterable at national level. Regarding to this fact it is impossible for Statistics Austria to alter data sets submitted on demand of Eurostat in case of possible unit value deviations or apparent consumption analysis. It is too early to evaluate any final coherence issue due to COVID-19. |
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The Federal Statistics Law 2000 stipulates that the institutions of official statistics have to organise their statistical system in a way that the response burden on enterprises is as small as possible. Thus, it was seen necessary to evaluate the actual response burden and to develop a system which facilitates monitoring of the response burden. In the context of a co-operation contract between Statistics Austria and the Austrian Federal Economic Chamber signed in 2001, one of the aims was to develop a system to monitor the development of the response burden. Based on the experience in other countries this monitoring system was named “response burden barometer”. The response burden barometer is a quantitative and objective indicator on the response burden and its temporal development. It takes into consideration the various surveys as well as the different situations at the branches and size bands. Detailed results of the response burden barometer by surveys can be found on the homepage of Statistics Austria at https://www.statistik.at/en/services/tools/services/response-burden-barometer |
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17.1. Data revision - policy | |||
General principles relating to the data revision policy (available in German only) can be found at https://www.statistik.at/en/about-us/responsibilities-and-principles/standards/statistics-austrias-revisions-policy
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17.2. Data revision - practice | |||
The Austrian PRODCOM data are transmitted to Eurostat at the latest t+6 month after the reference year. These are already final data. Therefore, and in general, no more data revision is foreseen. In general, a revision after the legal transmission deadline (t+6 months) will only be done if the external factors have been changed in such a manner that a significant impact on the results may be expected (extraordniary revision). In Austria no extra data revision due to Covid-19 is needed for the current reference year. |
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18.1. Source data | |||
The Austrian PRODCOM data are based on a primary survey (whereby the PRODCOM survey is traditionally an integrated part of the monthly Short Term Statistics surveys) of about 10 000 respondents. Detailed information can be found at (available in German only) https://www.statistik.at/en/ueber-uns/erhebungen/unternehmen/konjunkturerhebung-im-produzierenden-bereich. Impact of Covid-19: Prodcom is a monthly survey in Austria. The Covid-lockdowns only caused some few individual reporting delays. Due to the follow-up reporting of the missing data, there is no influence on the annual Austrian PRODCOM data for the reporting year 2022 (see also chapter 3.1. and 13.3.). The Austrian PRODCOM survey coverage is limited to Sections B to F od NACE Rev. 2, this means all relevant statistical units which carry out at least one of the activities in Sections
of the Statistical Classification of Economic Activities in the European Community (NACE Rev. 2). According to the national STS-regulation [regulation on Short Term Statistics in Industries and Construction (Konjunkturstatistik-Verordnung), Federal Law Gazette II No 210/2003, amended by Federal Law Gazette No II 327/2013] the survey population has to cover:
The coverage of the STS-survey and therefore also the PRODCOM-survey is calculated in terms of total turnover from industrial activities of observation units/total turnover of all enterprises with primary and secondary activities within NACE Rev. 2-section B to F (due to a lack of other corresponding information). As previously discussed, the Austrian PRODCOM-survey is a cut-off survey (non-probability sampling) or in other words a “non-representative, concentrated sample” with regard to a certain degree of coverage in national production. |
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18.2. Frequency of data collection | |||
In Austria the PRODCOM survey is a monthly survey. Annual data are calculated based on the monthly data. |
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18.3. Data collection | |||
Regarding the data submissions by the enterprises of this - in Austria - monthly survey it is mandatory for the respondents to use an electronic questionnaire. There was no COVID-19-related effect due to this issue. |
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18.4. Data validation | |||
In Austria questionnaires pass through the following processes: 1.) Plausibility checks during entering data in the online questionnaires as a first step Filling in the questionnaire the respondents face several interactive plausibility checks. Obviously this became possible with the mandatory usage of electronic questionnaires. There are two kinds of electronic questionnaires. The first one is an internet solution (so called "eQuest/Web". The two above mentioned data entry modes have the following main features in common:
2.) Processing incoming electronic questionnaires In parallel with the aforementioned e-Quest Metadata Manager for survey preparation and the questionnaire systems e-Quest and e-Quest/Web on the respondents’ side, Statistics Austria also developed standardized software systems as special instruments for treating, validating and correcting “incoming data” to accept and process the raw data. Incoming e-Quest/Web questionnaires can be directly viewed and edited in the intranet by subject matter experts using the same browser application developed for the respondents – albeit enhanced by specific internal functions. Alternatively, the data can also be transmitted to the e-Quest Package Manager (internally nicknamed the "Pot Application”) created for e-Quest responses. The "Pot Application“ is a standardized tool for processing electronic responses. Incoming questionnaires (in the form of XML packages) are automatically distributed into various processing "pots” according to their content, using criteria defined in advance. In the "pots” they can be viewed, edited, corrected and passed on to other subject matter experts for further processing. For viewing the data, one can use an enhanced version of e-Quest which keeps track of any changes to the data, maintaining a history of modifications and comments attributable to the (internal) user who made them. Questionnaires which have been checked are moved to the "OK pot” and are then transferred via an interface component to other systems. 3.) Further processing by using an electronic application for treating, validating and correcting An efficient integration of electronic questionnaires into the existing processing flows was achieved with the PC correction application "KJEKorr“. This program allows data from the monthly Short Term Statistics Survey already residing in the host database to be viewed, augmented, validated and corrected. This fulfils all requirements of Statistics Austria for extensive documentation and modification history, which were formerly complied with handwritten notes on the paper forms. Without having to take regress to the paper questionnaires, the subject matter expert can now process the survey data quickly and efficiently and can rely on automatic data editing support:
Therefore, a lot of micro- and macro plausibility checks on different aggregate levels are performed followed by comparisons and between historical and actual data:
As can be seen, all incoming questionnaire are checked for plausibility and validation, in terms of both form and content. On the one hand, the micro data are checked by the statisticians based on their sound knowledge on the respective singular units as well as economic branches; on the other hand, special computerized analysis (plausibility checks) are performed on different levels of aggregation aiming to calculate the macro level. Thus, the STS-data must pass about 100 plausibility checks, about 30 checks refer to the production data (PRODCOM) and data in context with turnover, whereby the check of one plausibility item may include several further checks. Moreover, the calculation of unit values and comparisons with foreign trade data help to verify the correctness of above mentioned data. Actually, all economic surveys in Mining and Manufacturing Industries (STS, SBS and MIS) are handled by the people in charge what opens up a wide range of possibilities to compare different variables (i.e. value of material input compared with OEPRODCOM-output, turnover by value from STS and SBS compared with production sold), in some economic branches orders received and unfilled orders at the end of a period compared with value of production sold), too. Further controls are performed when the monthly production index (basing on the variables "own production" and "subcontract work carried out by the observation unit as a subcontractor"), turnover indices, indices of orders received and all the other indices are calculated. Hence, development trends in total turnover on detailed NACE level are mentioned continuously supported by comparisons to prior periods. |
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18.5. Data compilation | |||
In general, data are available from a primary statistical survey. There was no COVID-19-related effect due to this issue (see also chapter 3.1. as well as 13.3 and 18.3.). |
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18.6. Adjustment | |||
Not applicable. |
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No further comments. |
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