Statistical Office of the Republic of Slovenia

Department for Agriculture, Forestry, Fishery and Hunting

Litostrojska 54

1000 Ljubljana

Slovenia

The data describe the structure of agricultural holdings providing the general characteristics of agricultural holdings and manager of the agricultural holding and information on their land and livestock. They also describe production methods, rural development measures, labour force and agro-environmental aspects that look at the impact of agriculture on the environment.

The data are used by public, researchers, farmers and policy-makers to better understand the structure and state of the farming sector and the impact of agriculture on the environment. The data follow up the changes in the agricultural sector and provide a basis for decision-making in the Common Agricultural Policy (CAP) and other European Union policies.

The statistical unit is the agricultural holding (farm). The aggregated results are disseminated through statistical tables. The data are presented at different geographical levels and over periods.

The data collections are organised in line with Regulation (EU) 2018/1091 and have a new structure, consisting of a core data set and several modules. The regulation covers the data collections in 2020 (the agricultural census), 2023 and 2026. The data are as comparable and coherent as possible with the other European countries.

Data are arranged in tables using many classifications. Please find below information on most classifications.

The classifications of variables are available in Annex III of Regulation (EU) 2018/1091 and in Commission Implementing Regulation (EU) 2018/1874.

The farm typology means a uniform classification of the holdings based on their type of farming and their economic size. Both are determined on the basis of the standard output (SO) (from 2010 onward) which is calculated for each crop and animal. The farm type is determined by the relative contribution of the different productions to the total standard output of the holding (COMMISSION IMPLEMENTING REGULATION (EU) 2015/220 of 3 February 2015 laying down rules for the application of Council Regulation (EC) No 1217/2009 setting up a network for the collection of accountancy data on the incomes and business operation of agricultural holdings in the European Union).

The territorial classification uses the NUTS classification to break down the regional data. The regional data is available at NUTS level 2.

The statistics cover agricultural holdings undertaking agricultural activities as listed in item 3.5 below and meeting the minimum coverage requirements (thresholds) as listed in item 3.6 below.

The list of core variables is set in Annex III of Regulation (EU) 2018/1091.

The descriptions of the core variables as well as the lists and descriptions of the variables for the modules collected in 2019/2020 are set in Commission Implementing Regulation (EU) 2018/1874.

The following groups of variables are collected in 2020:

• for core: location of the holding, legal personality of the holding, manager, type of tenure of the utilised agricultural area, variables of land, organic farming, irrigation on cultivated outdoor area, variables of livestock, organic production methods applied to animal production;
• for the module "Labour force and other gainful activities": farm management, family labour force, non-family labour force, other gainful activities directly and not directly related to the agricultural holding;
• for the module "Rural development": support received by agricultural holdings through various rural development measures;
• for the module "Animal housing and rural development module":  animal housing, nutrient use and manure on the farm, manure application techniques, facilities for manure.

See sub-category below.

In accordance with Regulation (EC) No 1091/2018 the ‘farm’ or ‘agricultural holding’ means a single unit, both technically and economically, that has a single management and that undertakes economic activities in agriculture in accordance with Regulation (EC) No 1893/2006 belonging to groups A.01.1, A.01.2, A.01.3, A.01.4, A.01.5 or to the ‘maintenance of agricultural land in good agricultural and environmental condition’ of group A.01.6 within the economic territory of the Union, either as its primary or secondary activity. Regarding activities of class A.01.49, only the activities ‘Raising and breeding of semi-domesticated or other live animals’ (with the exception of raising of insects) and ‘Bee-keeping and production of honey and beeswax’ are included.

See sub-categories below.

The thresholds of agricultural holdings are available in the annex.

The subset of population of agricultural holdings defined in item 3.6.1 which falls in the main frame i.e. above at least one of the thresholds set in Regulation (EU) 2018/1091.

The above answer holds for the modules ‘Labour force and other gainful activities’ and ‘Rural development’. The module ‘Machinery and equipment’ is not collected in 2020.

The subset of the population of agricultural holdings defined in item 3.6.2 with at least one of the following: bovine animals, pigs, sheep, goats, poultry.

There were 25 farms who were later on discovered that did not have animals, but had other data, so we left them in a subset population.

See sub-categories below.

The entire territory of the country.

Not applicable.

Not available.

Integrated Farm Statistics cover the period from 2020 onwards. Older (before 2020) time series on Farm structure statistics are described in the previous quality reports (national methodological reports).

The 2020 data are processed (by Eurostat) with 2017 standard output coefficients (calculated as a 5-year average of the period 2015-2019). For more information, you can consult the definition of the standard output.

Two kinds of units are generally used:

• the units of measurement for the variables (area in hectares, livestock in (1000) heads or LSU (livestock units), labour force in persons or AWU (annual working units), standard output in Euro, places for animal housing etc.) and
• the number of agricultural holdings having these characteristics.

See sub-categories below.

The use of land refers to the reference year 2020. In the case of successive crops from the same piece of land, the land use refers to a crop that is harvested during the reference year, regardless of when the crop in question is sown.

Reference period was from 1.1.2020 till 31.12.2020.

Reference period was from 1.1.2020 till 31.12.2020.

The reference day within the reference year 2020 (1 st of February 2020).

The 12-month period ending on 1 December 2020. The variables on manure management refer to a 12-month period including the reference day used for livestock and animal housing.

The 12-month period ending on 1 December 2020.

The three-year period ending on 31 December 2020.

Not relevant.

See sub-categories below.

The National Statistics Act and the annual work programmes.

The National Statistics Act

1995

The Statistical Office of the Republic of Slovenia is only responsible institution for data on integrated farm statistics.

The National Statistics respect statistical confidentiality.

The National Statistics Act (hereinafter the ZDSta) stipulates within fundamental principles of national statistics in Article 2 that “national statistics shall be implemented on the principles of … confidentiality …”. The principle is concretized in further provisions of the ZDSta, while for explanation one can turn to some international documents. The United Nations Resolution on Fundamental Principles of Official Statistics (adopted by the UN Statistical Commission in 1994 and confirmed by the UN General Assembly on 29 January 2014) determines in Principle 6 that “individual data collected by statistical agencies for statistical compilation, whether they refer to natural or legal persons, are to be strictly confidential and used exclusively for statistical purposes”. The explanation of the resolution is that reliable official statistics is based on the trust of the public and its good will to provide timely and accurate data that are requested. Such cooperation is only possible if statistical confidentiality is respected. In a similar way this principle is concretized in the European Statistics Code of Practice (adopted by the European Statistical System Committee on 28 September 2011), which determines that “the privacy of data providers (households, enterprises, administrations and other respondents), the confidentiality of the information they provide and its use only for statistical purposes must be absolutely guaranteed“. And last but not least, item (e) of Article 2 of Regulation (EC) No. 223/2009 on European Statistics determines statistical confidentiality as “the protection of confidential data related to single statistical units which are obtained directly for statistical purposes or indirectly from administrative or other sources and implying the prohibition of use for non-statistical purposes of the data obtained and of their unlawful disclosure”.

See sub-categories below.

See sub-categories below.

The confidentiality issue was determined by the methodologists on protection in SURS and methodologists for farm structure survey.

Regarding protection of final output tables, two confidentiality rules were applied:

• "Threshold rule" - the individual cell in the table is protected if there are fewer than "t" reporting units.
• "P% rule"

Additionally, secondary data protection was applied to all tables.

Researchers must sign the contract with SURS, where confidentiality rules are included. Results intended for the export are later on reviewed by SURS concerning the statistical confidentiality.

See sub-categories below.

In the Statistical Office of the Republic of Slovenia, dissemination of statistically protected micro-data and sensitive tables (from the point of view of statistical confidentiality) to researchers is organised through the function of the Data Protection Committee, the advisory body of the Director General, in compliance with the system of rules and procedures related to the dissemination of statistically protected micro-data to researchers, and the use of software for the statistical protection of data.

Micro-data are not disseminated.

The micro-data are available according to special conditions to researchers for research purposes.  Basic instructions concerning the access and the use of statistically protected micro-data are available on the web page: http://www.stat.si/StatWeb/en/StaticPages/Index/For-Researchers

SURS decided that researchers could gain access to micro-data in "Eurofarm data-set" (without precise location of individual agricultural holding). There will also be a possibility to gain other data on individual holding that are not in the "Eurofarm data-set", but each request will be dealt with individually. Researchers must sign the contract with SURS, where confidentiality rules are included. Results intended for the export are later on reviewed by SURS concerning the statistical confidentiality.

Releases of the Statistical Office of the Republic of Slovenia become available on working days always at 10:30 am. The release calendar enables searching for the titles of already published and announced releases. The release calendar is prepared and published in advance (usually in November for the next year). This applies to all regular publications, including for Integrated Farm Statistics. For the Integrated Farm Statistics data the the following announcements have been announced and realised for Integrated Farm Statistics data so far: 29.3. 2021 first, basic provisional data, 13.10. 2021 more detailed basic provisional data  and 18.3.2022 final basic data for 2020. 

The release calendar can be accessed via the website of the Statistical Office of the Republic of Slovenia. On the release calendar website, publications can be searched by title, topic, sub-theme, publication date or producer.

The Dissemination and Communication Policy of the Statistical Office of the Republic of Slovenia (SURS) informs the users about the diverse supply of data, products and services provided by SURS. Also presented are the principles and standards considered in data publication and communication with final users of these data. Together with the European Statistics Code of Practice, the policy described on official website is the basic guideline for all SURS’s employees. SURS follows it in daily activities of publishing the data and communicating with users as well as in making long-term decisions. 

The Statistical Office of the Republic of Slovenia draws attention to less reliable estimates by flagging them with a special sign. If the table contains estimated population totals of (continuous) variables, estimated averages of continuous variables or estimated ratios of population totals of (continuous) variables, publishing limitations are determined by the relative standard errors or the coefficients of variation (CV). In such cases it holds:

• If the coefficient of variation (CV) is 10% or below (CV <= 10%), the estimate is reliable enough and is published without limitations; between 10% and up to 30% (10% < CV <= 30%), the estimate is less reliable and is flagged for caution with letter M; over 30% (CV > 30%), the estimate is too unreliable to be published and therefore suppressed for use by letter N. For more, see the general methodological explanations Precision of statistical estimates.

Data on Integrated Farm Statistics (IFS) are disseminated at national level after each IFS reference year. This is every 3-4 years.

See sub-categories below.

For the reference year 2020 have been published three news releases: 29.3. 2021 first, basic provisional data, 13.10. 2021 more detailed basic provisional data, 18.3.2022 final basic data for 2020 and 21.7.2022 final labour force and manure management data.

See sub-categories below.

For the reference year 2020 have been published three news releases:
First data of Agricultural Census, Slovenia, 2020, SURS, 29.3.2021 (https://www.stat.si/statweb/en/News/Index/9459),
In 2020, almost a quarter of all land in Slovenia was used for agricultural production, SURS, 13.10. 2021 (https://www.stat.si/statweb/en/News/Index/9883) and Agricultural holdings in Murska Sobota with the largest average utilised agricultural area, SURS, 18.3.2022 (https://www.stat.si/statweb/en/News/Index/10211).

See sub-categories below.

Not available.

The online database SiStat is accessible to users. 

See sub-category below.

Not available.

Not requested.

See sub-categories below.

Not requested.

FARM STRUCTURE SURVEY AND AGRICULTURAL CENSUS, SURS, 2021, https://www.stat.si/StatWeb/File/DocSysFile/8048/15-119-ME.pdf

Not applicable.

Not applicable.

Quality reports are prepared for national users and contain reference metadata and a detailed overview of quality components of the statistical survey (relevance, accuracy, timeliness and punctuality, accessibility and clarity, comparability, and coherence) together with the values of quality indicators. National Quality report for 2020 IFS data will be prepared in the year 2022. Document on quality report is published on the web page: http://www.stat.si/statweb/en/Methods/QuestionnairesMethodologicalExplanationsQualityReports

See sub-categories below.

The Statistical Office of the Republic of Slovenia operates on the basis of the National Statistics Act and Regulation (EC) No. 223/2009 on European statistics; in performing its tasks it follows the general principles of quality management, the European Statistics Code of Practice and the Fundamental Principles of Official Statistics. In line with the stated, SURS declares that it takes into account the following principles: professional independence, process orientation, quality of products and services, planning of improvements, stimulating working environment for employees, data providers-friendly official statistics, user-oriented official statistics. The principles are more in detail presented in the Quality Statement of the Statistical Office of the Republic of Slovenia.
The quality of statistical data used to be dealt with mostly in connection with data accuracy in the narrow sense (as coherence between statistical data and exact values). In the last decade the statistical profession has made great progress towards broader understanding of the quality of statistical data. Quality is now dealt with in terms of different quality dimensions: relevance, accuracy of estimates, timeliness and punctuality of publication, accessibility and clarity of information, comparability of statistics and coherence of results.

SURS regularly publishes reports on the quality of statistical surveys, which contain detailed descriptions of individual statistical surveys regarding all quality dimensions. Quality reports also contain the values of quality indicators, i.e. numerical values of achieved quality levels for individual quality components.

Not available.

Not available.

The purpose of publishing the data on the structure of agricultural holdings in Slovenia is to present the structure of agricultural production, machinery and equipment and labour input, and the data on agricultural holdings that are comparable with the data of other EU Member States. Published key statistics are: Area and structure of agricultural and other land used on agricultural holdings, Area and structure of arable land, permanent grassland and permanent crops, Number and structure of livestock on agricultural holdings, Structure of the labour force on agricultural holdings and the scope of work in gainful activities on agricultural holdings, Livestock units (LSU), Economic size of agricultural holdings, Production type of agricultural holdings.
The key users of data are: Public sector, Business entities, Science, research and education, General public, Foreign users, Internal users.

National needs are discussed with main users represented in the Agricultural, Forestry and Fishery Statistics Committee, which is an advisory body of SURS.

Some of the characteristics were added to the questionnaire for national purposes only:

• some categories of livestock and crops are more detailed than needed in Eurofarm dataset;
• number of vines in vineyards – needed for calculation of production;
• cutting timber on family farms was implemented in FSS due to national needs.

User needs have been thoroughly evaluated and respected in the development/design/implementation of the product/service/system. Through extensive user research, feedback analysis, and a user-centric approach. We had several meetings with main users, where all the needs were addressed.

Not applicable.

SURS measured general user satisfaction. SURS measured general user satisfaction for the last time in 2021. Respondents assessed general satisfaction with SURS with the average score of 8.3 (on a scale from 1 – disagree completely to 10 – agree completely).

2021

Information on low- and zero prevalence variables is available on: Eurostat's website

Not applicable for Integrated Farm Statistics as the not collected variables, not-significant variables and not-existent variables are completed with 0.

See categories below.

See sub-categories below.

Please find the relative standard errors for the main variables in the annex.

There are no cases where estimated RSEs are above thresholds.

The method for estimation of RSEs was SAS PROC SURVEYMEANS procedure. We calculated standard errors and coefficients of variation, by using general SAS programs that are used in most of the SURS surveys.

See sub-categories below.

See sub-categories below.

The over-coverage rate is available in the annex. The over-coverage rate is unweighted.
The over-coverage rate is calculated as the share of ineligible holdings to the holdings designated for the core data collection. The ineligible holdings include those holdings with unknown eligibility status that are not imputed nor re-weighted for (therefore considered ineligible).
The over-coverage rate is calculated over the holdings in the main frame and if applicable frame extension, for which core data are sent to Eurostat. 

Not available.

Not requested.

See sub-categories below.

Since we have quality administrative sources, we estimate that there is no under-coverage.

Good and up to date administrative sources are available.

Not available.

Misclassification was detected, but with such minor influence, so no action was performed.

The use of administrative data.

See sub-categories below.

Characteristics that caused high measurement errors

We are aware of measurement errors and we try to avoid this kind of errors by training interviewers, supervisors, by data checking and validation process. Where inconsistency or extreme values were discovered, the data were checked with possible administrative data or there was also a “call-back” to the farmers, and the data were checked again. So extreme values of variables were checked and corrected if necessary. Since the data was inserted directly into the data entry program (controls were included), there was likely to have less mistakes caused by interviewer.

Not available

See sub-categories below.

The unit non-response rate is in the annex of item 13.3.1.1. The unit non-response rate is unweighted.
The unit non-response rate is calculated as the share of eligible non-respondent holdings to the eligible holdings. The eligible holdings include those holdings with unknown eligibility status which are imputed or re-weighted for (therefore considered eligible).
The unit non-response rate is calculated over the holdings in the main frame and if applicable frame extension, for which core data are sent to Eurostat.

By comparing the variables of respondents and non-respondents available in the sampling frame and with available administrative sources.

No item non-response was detected, since CORE variables were collected mostly through administrative sources, and also with CATI, where application was strict (all the questions had to be answered and filled).

If there were minor casses, then they would be dealt with imputations.

Not applicable.

Not available.

See sub-categories below.

Application is used for imputations, so every step is defined and repeatable.

There was only one person authorised to perform data processing. For data preparation also one IT staff was involved.

Special program, developed in SURS was used to perform imputations.

Not available.

A model was used to asses labour input for holder-manager. The data on labour input was collected for cca. 17% of all agricultural holdings, and for all other the labour input was done with the model (it was based on gender, employment status, education, age, location).

See sub-categories below.

The time lag of first results (months from 31 December 2020 to the day of the first release of first results) was 3 months.

The time lag of final results (months from 31 December 2020 to the day of the release of final results) was 18 months for core data and 21 months for module data.

See sub-categories below.

See sub-categories below.

Not requested.

The actual publication date coincides with the target date for data publication.

See sub-categories below.

Not applicable, because there are no mirror flows in Integrated Farm Statistics.

See sub-categories below.

Data on agricultural holdings collected and sent to Eurostat had the same definition than in Regulation (EU) 2018/1091.

Not applicable.

See sub-categories below.

Since the IFS thresholds from Annex II of Regulation (EU) 2018/1091 were quite high for our country, we extended the frame, where also very small farms were surveyed. For that reason it is no doubt that EU coverage requirements are met.

National threshold contains all the area as the IFS threshold except vineyard area. Concerning the vineyard area, national threshold is 0.3 ha and the IFS is 0.1 ha. For that reason some 3.000 agricultural holding were added to population.

National threshold for animal data collection is 2 LSU (including equidae), IFS has 1.7 LSU. For that reason only few agricultural holdings were added to population.

On the other hand national threshold for UAA is 1 ha, but IFS threshold is 5 ha. When taking into consideration all agricultural holdings, some 18 000 are considered agricultural holdings on national level, but on the EU level they are under thresholds.

See point 15.1.3.2.

See sub-categories below.

Definitions are the same, but national publication has some different classification, due to a lower disaggregation of arable land and livestock categories.

The thresholds used to include holdings for national dissemination are different than the EU ones. Also LSU coefficients for national dissemination are different.

The thresholds for national dissemination are:

1. a) at least one hectare of utilised agricultural area, or

2. b) less than 1 hectare of utilised agricultural area, but:

• at least 0.1 hectare of utilised agricultural area and 0.9 hectare of forest, or
• at least 0.3 hectares of vineyards and/or orchards, or
• two or more livestock units (LSU), or
• 0.15 to 0.3 hectare of vineyards/orchards and 1 or 2 LSU, or
• more than 50 beehives, or
• are market producers of vegetables, herbs, strawberries, mushrooms, flowers or ornamental plants.

The thresholds for EU dissemination are presented in the annex to item 3.6.1 of the quality report.

Table 1: List of livestock unit coefficients (LSU) used in Slovenia, by years

In 2020, there are no holdings in the classes FARM_SPOU (Manager is spouse of holder), FARM_HLD_SPOUFAM (Holder is co-manager with spouse or family member), FARM_FAM (Manager is member of holder's family) and FARM_NFAM (Manager is not member of holder's family) as these are included in the class FARM_HLD (Holder is single manager). Please see item 15.1.4.2 for the reason.

The information is available in the annex. 
The number of working hours and days in a year for a full-time job correspond to one annual working unit (AWU) in the country. One annual work unit corresponds to the work performed by one person who is occupied on an agricultural holding on a full-time basis. Annual working units are used to calculate the farm work on the agricultural holdings. One AWU is considered as 1800 working hours.

The information is available in the annex of item 15.1.4.1.1. 

National publication for AWU is calculated on exact working hours per year and not size classes.

The information is available in the annex of item 15.1.4.1.1. 

In Slovenia we are using different LSU coefficients for national data dissemination. The coefficients used are listed in our metadata information on website: https://www.stat.si/statweb/File/DocSysFile/8048/15-119-ME.pdf.

Also see 15.1.4.1.

Included are Equidae, breeding rabbits, lama and alpaca.

Definitions are the same, but classifications are not, since some categories in IFS are grouped, and in national publications they are not.

In 2020, the classes FARM_HLD (Holder is single manager), FARM_SPOU (Manager is spouse of holder), FARM_HLD_SPOUFAM (Holder is co-manager with spouse or family member), FARM_FAM (Manager is member of holder's family) and FARM_NFAM (Manager is not member of holder's family) are all grouped under the class FARM_HLD (Holder is single manager).  According to the new administrative rules in Slovenia, the person reported as being the holder of the farm is also considered to be responsible for farm management. 

The thresholds used to include holdings for the national dissemination are different than the thresholds for EU dissemination, because it was decided at national level to keep the same thresholds for 2000, 2010 and 2020 as much as possible due to time comparison.

See sub-categories below.

Not applicable.

Not applicable.

Not applicable.

We use administrative data of the Ministry of Agriculture, Forestry and Food. Common land is included in the land use data of the agricultural holdings making use of the common land - “In proportion to the use by each holding".
The area of common land was not double counted, because the data on common land were gathered from administrative data, and divided in proportion to each holding (on the basis of the LSU). Holders reported land use without common land.
The area of common land consists only of pastures (rough grazing).

Not applicable.

See sub-categories below.

There are no differences detected.

Not applicable.

Not applicable.

See sub-categories below.

The results are comparable for years 2000, 2003, 2007, 2010, 2013, 2016 and for this year (2020).

See sub-categories below.

Regulation (EU) 2018/1091 newly considers agricultural holdings with only fur animals. However our country does not raise fur animals.

See sub-categories below.

The national threshold is not the same as the IFS threshold, therefore frame extention was made.

Due to different threshold some 3.000 AH were added to the population (the reason is lower threshold for vineyard area).

See sub-categories below.

Not applicable.

See sub-categories below.

Legal personality of the agricultural holding

In IFS, the legal provisions foresee a new class (“shared ownership”) for the legal personality of the holding compared to FSS 2016. This new class (FARM_HLD_SPOUFAM - Holder is co-manager with spouse or a family member) was not collected due to national situation.

In 2016, the holder was not always the manager. However this changed in 2020, when the person reported as being the holder of the farm is also considered to be responsible for farm management.  Therefore, while the 2016 data distinguish between the categories "Holder is single manager", "Manager is spouse of holder", "Manager is member of holder's family" and "Manager is not member of holder's family" , in 2020 all such holdings are grouped under the class "Holder is single manager". 

Other livestock n.e.c.

In FSS 2016, deer were included in this class, but in IFS they are classified separately.

Also in FSS 2016, there was a class for the collection of equidae. That has been dropped and equidae are included in IFS in "other livestock n.e.c."

Livestock units

In FSS 2016, turkeys, ducks, geese, ostriches and other poultry were considered each one in a separate class with a coefficient of 0.03 for all the classes except for ostriches (coefficient 0.035). In IFS 2020, the coefficients were adjusted accordingly, with turkeys remaining at 0.03, ostriches remaining at 0.35, ducks adjusted to 0.01, geese adjusted to 0.02 and other poultry fowls n.e.c. adjusted to 0.001.

Organic animals

While in FSS only fully compliant (certified converted) animals were included, in IFS both animals under conversion and fully converted are to be included.

See sub-categories below.

In previous FSS 2016 reference period for labour force was 12 months ending on 31 May of reference year, but for IFS 2020 the data was collected in December 2020, looking 1 year before 1 December.

In previous FSS 2016 reference period for livestock was 1 June. For AC 2020 it was 1 February.

In previous FSS 2016 reference period for land variables was 12 months ending on 1 June 2016 while in IFS 2020, it ended on 31 December 2020.

In previous FSS 2016 reference period for rural development variables was 36 months ending on 1 June 2016 while in IFS 2020, it ended on 31 December 2020.

See sub-categories below.

Not applicable.

Some statistics have such small area or small number (occurrence) that there are not easy for the trends to be very big. Also some animals can variate from one category to another in four years time. Also the reason is, due to subsidy reason (administrative support) for farms.

With regards to the evolution of the number of holdings by LSU class, it was recorded an increase of holdings without LSU, and of those with LSU<5. The reason for those trends are evolving farms, since some are specialising, and the second reason in for including the vineyard threshold 0.1ha, since we have there cca. 5% increase of farmers who have only vineyard and nothing else.

See sub-categories below.

Not applicable to Integrated Farm Statistics, because there are no sub annual data collections in agriculture.

Not applicable, because Integrated Farm Statistics have no relevance for national accounts.

See sub-categories below.

The results of the 2020 were checked and compared with all the available administrative data. Actually a lot of administrative data was used directly from administrative sources. The results were checked partially also with other statistical data collections (Annual Crop Statistics, Animal Production Statistics).

See sub-categories below.

The results of the 2020 were checked and compared with all the available administrative data, previous surveys and other surveys conducted by SURS. A comparison was made with other sources at macro-data level. The data is comparable and all minor differences can be explained.

All surveys in agricultural statistics department can be combined and compared between themselves.
Comparison to other statistical domains can be done on macro level.

The data are internally consistent. This is ensured by the application of a wide range of validation rules.

See sub-categories below.

All agricultural statistics are produced in the same department and there is a good coordination of surveys to avoid situation that some farms have to answer multiple questionnaires with the same kind of questions (ex. a small part of data for annual crop statistics is retained from FSS).

Not available.

See sub-categories below.

Not relevant

Not available

Not applicable (use of administrative data source).

Not available.

SURS has a data revision policy and a scheduled revision program of the preliminary form to final which is published on the website.

The revision policy for the 2020 agricultural census data was reasoned with the program of the data dissemination form from preliminary to final data.

Not requested.

See sub-categories below.

See sub-categories below.

The Statistical Farm Register.

See sub-categories below.

Not applicable for 2020.

Not applicable for 2019/2020.

Not applicable for 2020.

See sub-categories below.

Not applicable.

Not applicable.

Not applicable.

See sub-categories below.

Stratification was made based on NUTS2 level, four size classes of agricultural holdings +agricultural enterprises.

Full coverage strata are agricultural enterprises, and big family farms in Slovenia.

The sample size was determined by making experimental samples different sizes and estimating differente response rate. Then RSE was calcualted on different variables.

See sub-categories below.

Not applicable.

Not applicable.

Not applicable.

See sub-categories below.

Stratification was made based on NUTS2 level, four size classes of agricultural holdings +agricultural enterprises.

Full coverage strata are agricultural enterprises, and big family farms in Slovenia.

The sample size was determined by making experimental samples different sizes and estimating differente response rate. Then RSE was calcualted on different variables.

SAS programm.

See sub-categories below.

The information is available on Eurostat's website.

See the attached Excel file in the Annex.

The information on innovative approaches is available on Eurostat's website.

The agricultural census is conducted every 10 years. The decennial agricultural census is complemented by sample or census-based data collections organised every 3-4 years in-between.

See sub-categories below.

Please find the questionnaire in annex.

See sub-categories below.

The data were validated at the national level by using SAS programs and the application built by SURS.

The extrapolating factor was obtained based on the design weight and adjusted for non-response.

Weights were calculated as product of selection weight and non-response weight only. The sample survey for labour force module and module on animal housing was not calibrated to the number of agricultural holdings from the census core.

Agricultural census 2020 was mostly based on administrative sources and for that reason imputation rates are very difficult to calculate.

Covered under Data compilation.

Not applicable to Integrated Farm Statistics, because it collects structural data on agriculture.

See sub-categories below.

CAP – Common Agricultural Policy

CAPI –  Computer Assisted Personal Interview

CATI – Computer Assisted Telephone Interview

CAWI – Computer Assisted Web Interview

FSS – Farm Structure Survey

IACS – Integrated Administration and Control System

IFS – Integrated Farm Statistics

LSU – Livestock units

NACE – Nomenclature of Economic Activities

NUTS – Nomenclature of territorial units for statistics

PAPI – Paper and Pencil Interview

SiStat - Statistical Office of the Republic of Slovenia

SO – Standard output

SURS - Statistical office of the Republic of Slovenia

UAA – Utilised agricultural area

No additional comments.