Reference metadata describe statistical concepts and methodologies used for the collection and generation of data. They provide information on data quality and, since they are strongly content-oriented, assist users in interpreting the data. Reference metadata, unlike structural metadata, can be decoupled from the data.
Federal Institute of Agricultural Economics, Rural and Mountain research
1.2. Contact organisation unit
Agricultural economics and data management
1.3. Contact name
Confidential because of GDPR
1.4. Contact person function
Confidential because of GDPR
1.5. Contact mail address
A-1030 Vienna, Dietrichgasse 27
1.6. Contact email address
Confidential because of GDPR
1.7. Contact phone number
Confidential because of GDPR
1.8. Contact fax number
Confidential because of GDPR
2.1. Metadata last certified
21 December 2023
2.2. Metadata last posted
21 December 2023
2.3. Metadata last update
21 December 2023
3.1. Data description
The data describe the standard output coefficients of different categories of crops and animals. There are different SOCS by NUTS II. The SOC´s are used for classification of agricultural holdings (size class and farm type) by multiplying the SOC with the number of hectares or animals.
3.2. Classification system
The territorial classification uses the NUTS classification. The variables are defined in the typology handbook (RI/CC 1500 rev. 5, July 2020) and the list of SOC is set in Annex I B - Table of correspondence and regrouping codes of Commission implementing Regulation (EU 2020/1653) of 4. November 2022 and “NSNE2023_Matrix_v007.20230203”.
3.3. Coverage - sector
Covers all NUTS II regions in Austria
3.4. Statistical concepts and definitions
The list of SOC is set in Annex I B - Table of correspondence and regrouping codes of Commission implementing Regulation (EU 2020/1653) of 4. November 2022 and NSNE2023_Matrix_v007.20230203.The methodology of the calculations of SOC´s corresponds to the typology handbook (RI/CC 1500 rev. 5, July 2020). The list of NSNE Variables is set in (IFS_NSNE_3_AT_2023_0000)
3.5. Statistical unit
NUTS II
3.6. Statistical population
NUTS II
3.7. Reference area
NUTS II
3.8. Coverage - Time
SOC´s are used first time for FSS 2010 (SOC 2007).
3.9. Base period
Not requested for this reference year.
Kinds of units are used:
The units of measurement for the plants:
Euro per hectare;
Euro per 100 sqm (mushrooms).
Units of measurement for animals:
Euro per head;
Euro per 100 heads;
Euro per hive.
SOC´s are calculated by calendar year. For SOC 2020 the reference period is within 1. January 2018 and 31. December 2022.
6.1. Institutional Mandate - legal acts and other agreements
The institute's annual work program must be approved.
6.2. Institutional Mandate - data sharing
Not requested for this reference year.
7.1. Confidentiality - policy
No single farm data used
7.2. Confidentiality - data treatment
No single farm data used.
8.1. Release calendar
No pre-defined calendar.
8.2. Release calendar access
Not requested for this reference year.
8.3. Release policy - user access
Results of SOCs directly transmitted to main users (by EXCEL). Frequently published at homepage of Austrian Green Report.
Every 3-4 years (year of FSS).
10.1. Dissemination format - News release
Not requested for this reference year.
10.2. Dissemination format - Publications
Not requested for this reference year.
10.3. Dissemination format - online database
Not requested for this reference year.
10.3.1. Data tables - consultations
Not requested for this reference year.
10.4. Dissemination format - microdata access
Not requested for this reference year.
10.5. Dissemination format - other
Results of SOCs are published as a table, in addition to classify holdings in FSS and FADN-farms, they are used for classification of IACS-farms and within the framework of second pillar of agricultural policy.
Most of SOC´s are calculated by using Data Warehouses (BMLRT. ALFIS, BAB. Datenpool; Statistics Austria. STATCUBE).
Calculations done mostly in EXCEL.
Time series to check the plausibility of the results.
11.2. Quality management - assessment
Not requested for this reference year.
12.1. Relevance - User Needs
SOC´s are used by different institutions (Statistics Austria for FSS, LBG for classification of accountancy results, Total SO of farms is used for programms of rural development).
The SOC´s and Total SO are published and provided in EXCEL.
12.2. Relevance - User Satisfaction
For national classification of holdings, there are some additional SOC`s (forestry, other animal, young hens).
12.3. Completeness
SOC´s with low and zero prevalence are not determined. More informations on Eurostat website.
12.3.1. Data completeness - rate
SOC´s for not-significant and not-existent variable are completed with "0"
13.1. Accuracy - overall
Overall, the accuracy can be described as satisfactory. But for some categories, especially aggregated categories, there is a wide dispersion of the output of products included in them (e. g. vegetables).
13.2. Sampling error
Not requested for this year.
13.2.1. Sampling error - indicators
Not requested for this reference year.
13.3. Non-sampling error
Not requested for this year
13.3.1. Coverage error
Not requested for this reference year.
13.3.1.1. Over-coverage - rate
Not requested for this reference year.
13.3.1.2. Common units - proportion
Not requested for this reference year.
13.3.2. Measurement error
Not requested for this reference year.
13.3.3. Non response error
Not requested for this reference year.
13.3.3.1. Unit non-response - rate
Not requested for this reference year.
13.3.3.2. Item non-response - rate
Not requested for this reference year.
13.3.4. Processing error
Not requested for this reference year.
13.3.5. Model assumption error
Not requested for this reference year.
14.1. Timeliness
Calculations can start, when first final results of agricultural prices and price indices, slaughtering statistics, statistics on crop production and production on permanent grassland are available.
14.1.1. Time lag - first result
Not requested for this reference year.
14.1.2. Time lag - final result
Not requested for this reference year.
14.2. Punctuality
SOC´s has to be transmitted to Eurostat by end of december of FSS-Year
14.2.1. Punctuality - delivery and publication
Not requested for this reference year.
15.1. Comparability - geographical
SOCs are calculated for all NUTS II Regions. Mostly there are statistics of production and prices available.
Comparing SOC coefficients with those of neighbouring regions, yields per hectare and producer prices can deviate to a greater or lesser extent from the Austrian results. This can be caused, for example, by a different proportion of organic farming with different yield and price levels and different marketing structures.
15.1.1. Asymmetry for mirror flow statistics - coefficient
Not requested for this reference year.
15.2. Comparability - over time
A time comparison is possible for SOCs. Just for some SOCs time comparison is due to neccessary changes in data sources is limited.
The evolution of SOC 2020 vs. 2017 is mainly a result of increasing producer prices. Also the composition (share) of different types of crops or animals has a considerable influence on the SOC. The consistency check between producer price (Main_unit_price) and SOC. In addition to considering the evolution of producer price, it is also necessary to consider the evolution quantity of the main product. Some concrete results of such comparisons bring to the following findings:
A2300, A4100, A4200, A5000X5100. For cows, goat sheep and other poultry, SOC are weighted averages, shifts in the shares cause changes in the SOC.
A2300F, A3120, A3130 there were some regions having increases of SOC above national averages.
Cereals, grasslands and industrial crops: there were significant variable costs.
Fruits, green maize and temporary grass: Calculation of SOC based on share of cultivated area of green maize, temporary grasses. SOC were calculated by using variable costs per unit of yield. Shifts in shares of cultivated area, development of yields and higher variable costs from 2021 (e.g. gas, fertilizers) increases SOC´s.
K0000T_UAA09S, PERC9_H9000T, R2000T, R9000T, V0000_S0000T (also TK and TO). These scored significant increase of price index.
15.2.1. Length of comparable time series
A time comparison is possible for most SOCs. For some SOCs time comparision is due to changes in data sources is limited.
15.3. Coherence - cross domain
When SOC are compared with Prices statistics [apri_pi15_outa], various SOCs (e.g. A2300, V0000_S0000TO) are coefficients composed of different animal species (suckler cows, dairy cows) or crop species (vegetables). Shifts in their proportions can have an impact on the quantities and prices of the main products.
15.3.1. Coherence - sub annual and annual statistics
The data describe the standard output coefficients of different categories of crops and animals. There are different SOCS by NUTS II. The SOC´s are used for classification of agricultural holdings (size class and farm type) by multiplying the SOC with the number of hectares or animals.
21 December 2023
The list of SOC is set in Annex I B - Table of correspondence and regrouping codes of Commission implementing Regulation (EU 2020/1653) of 4. November 2022 and NSNE2023_Matrix_v007.20230203.The methodology of the calculations of SOC´s corresponds to the typology handbook (RI/CC 1500 rev. 5, July 2020). The list of NSNE Variables is set in (IFS_NSNE_3_AT_2023_0000)
NUTS II
NUTS II
NUTS II
SOC´s are calculated by calendar year. For SOC 2020 the reference period is within 1. January 2018 and 31. December 2022.
Overall, the accuracy can be described as satisfactory. But for some categories, especially aggregated categories, there is a wide dispersion of the output of products included in them (e. g. vegetables).
Calculations can start, when first final results of agricultural prices and price indices, slaughtering statistics, statistics on crop production and production on permanent grassland are available.
SOCs are calculated for all NUTS II Regions. Mostly there are statistics of production and prices available.
Comparing SOC coefficients with those of neighbouring regions, yields per hectare and producer prices can deviate to a greater or lesser extent from the Austrian results. This can be caused, for example, by a different proportion of organic farming with different yield and price levels and different marketing structures.
A time comparison is possible for SOCs. Just for some SOCs time comparison is due to neccessary changes in data sources is limited.
The evolution of SOC 2020 vs. 2017 is mainly a result of increasing producer prices. Also the composition (share) of different types of crops or animals has a considerable influence on the SOC. The consistency check between producer price (Main_unit_price) and SOC. In addition to considering the evolution of producer price, it is also necessary to consider the evolution quantity of the main product. Some concrete results of such comparisons bring to the following findings:
A2300, A4100, A4200, A5000X5100. For cows, goat sheep and other poultry, SOC are weighted averages, shifts in the shares cause changes in the SOC.
A2300F, A3120, A3130 there were some regions having increases of SOC above national averages.
Cereals, grasslands and industrial crops: there were significant variable costs.
Fruits, green maize and temporary grass: Calculation of SOC based on share of cultivated area of green maize, temporary grasses. SOC were calculated by using variable costs per unit of yield. Shifts in shares of cultivated area, development of yields and higher variable costs from 2021 (e.g. gas, fertilizers) increases SOC´s.
K0000T_UAA09S, PERC9_H9000T, R2000T, R9000T, V0000_S0000T (also TK and TO). These scored significant increase of price index.
