1.1. Contact organisation
Statistics Norway
1.2. Contact organisation unit
Division for property, housing, spatial and agricultural statistics.
1.3. Contact name
Restricted from publication1.4. Contact person function
Restricted from publication1.5. Contact mail address
Postboks 1400 Rasta, 2225 Kongsvinger, Norway
1.6. Contact email address
Restricted from publication1.7. Contact phone number
Restricted from publication1.8. Contact fax number
Restricted from publication2.1. Metadata last certified
19 April 20232.2. Metadata last posted
2 March 20222.3. Metadata last update
19 April 20233.1. Data description
The data describe the structure of agricultural holdings providing the general characteristics of farms and farmers and information on their land, livestock and labour force. They also describe production methods, rural development measures 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 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.
3.2. Classification system
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 gross margin (SGM) (until 2007) or 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 gross margin or the standard output of the holding.
The territorial classification uses the NUTS classification to break down the regional data. The regional data is available at NUTS level 2.
3.3. Coverage - sector
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.
3.4. Statistical concepts and definitions
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 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 "Animal housing": animal housing, nutrient use and manure on the farm, manure application techniques, facilities for manure.
3.5. Statistical unit
See sub-category below.
3.5.1. Definition of agricultural holding
The agricultural holding is 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: Growing of non-perennial crops
- A.01.2: Growing of perennial crops
- A.01.3: Plant propagation
- A.01.4: Animal production
- A.01.5: Mixed farming.
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.
Related to Regulation (EU) 2018/1091, article 2 (a), there are three minor differences between the national definition and the EU definition of the holding. See item 15.1.2.1.
3.6. Statistical population
See sub-categories below.
3.6.1. Population covered by the core data sent to Eurostat (main frame and if applicable frame extension)
The thresholds of agricultural holdings are available in the annex.
Annexes:
3.6.1. Thresholds of agricultural holdings
3.6.1.1. Raised thresholds compared to Regulation (EU) 2018/1091
Yes3.6.1.2. Lowered and/or additional thresholds compared to Regulation (EU) 2018/1091
No3.6.2. Population covered by the data sent to Eurostat for the modules “Labour force and other gainful activities”, “Rural development” and “Machinery and equipment”
The same population of agricultural holdings defined in item 3.6.1.
The above answer holds for the module ‘Labour force and other gainful activities’. The module ‘Machinery and equipment’ is not collected in 2020. The module 'Rural development' is not applicable to our country.
3.6.3. Population covered by the data sent to Eurostat for the module “Animal housing and manure management”
The same population of agricultural holdings defined in item 3.6.1
3.6.4. Population covered by the data sent to Eurostat for the module “Irrigation”
Restricted from publication3.6.5. Population covered by the data sent to Eurostat for the module “Soil management practices”
Restricted from publication3.6.6. Population covered by the data sent to Eurostat for the module “Orchard”
Restricted from publication3.6.7. Population covered by the data sent to Eurostat for the module “Vineyard”
Restricted from publication3.7. Reference area
See sub-categories below.
3.7.1. Geographical area covered
The whole mainland of Norway is covered. Agriculture does not exist in the islands Svalbard and Jan Mayen.
3.7.2. Inclusion of special territories
Not applicable
3.7.3. Criteria used to establish the geographical location of the holding
The main building for production3.7.4. Additional information reference area
Not available
3.8. Coverage - Time
Farm structure statistics in our country cover the period from 1999 onwards. Older time series are described in the previous quality reports (national methodological reports).
3.9. Base period
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.
5.1. Reference period for land variables
The use of land refers to the 12-month period ending on December 31st 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.
5.2. Reference period for variables on irrigation and soil management practices
The 12-month period ending on December 31st 2020.
5.3. Reference day for variables on livestock and animal housing
The reference day October 1th within the reference year 2020.
5.4. Reference period for variables on manure management
The 12-month period ending on December 31st 2020. This period includes the reference day used for livestock and animal housing.
5.5. Reference period for variables on labour force
The 12-month period ending on September 30 within the reference year 2020.
5.6. Reference period for variables on rural development measures
Not applicable
5.7. Reference day for all other variables
The reference day October 1th within the reference year 2020.
6.1. Institutional Mandate - legal acts and other agreements
See sub-categories below.
6.1.1. National legal acts and other agreements
Legal act6.1.2. Name of national legal acts and other agreements
The Statistics Act of 16 June 1989 No 54.
There is no separate national legislation concerning the Census of Agriculture. Information is collected according to the Statistics Act of 16 June 1989 No 54. While article 2-2 concerns the obligation to provide information from any person, article 3-2 states the right of Statistics Norway to use administrative data systems in the state administration and in nationwide municipal organisations.
A new version of The Statistics Act was passed by the Storting on 21 June 2019. The second and third paragraphs of section 6 of the Act entered into force on 1 November 2019. Section 19 of the Act entered into force on 1 January 2020. The Statistics Act in its entirety on January 1, 2021. The data collections in 2020 (the Census of Agriculture) was not affected by the new version.
6.1.3. Link to national legal acts and other agreements
The previous version of the Statistics Act is to be found online only in norwegian: https://lovdata.no/dokument/NLO/lov/1989-06-16-54?q=statistikkloven
An English pdf-version is available here https://www.ssb.no/a/histstat/div/div_29_1989.pdf
6.1.4. Year of entry into force of national legal acts and other agreements
1989
6.1.5. Legal obligations for respondents
Yes6.2. Institutional Mandate - data sharing
The Statistics Act of 16 June 1989 No 54. § 3-2 states the right of Statistics Norway to use administrative data systems in the state administration and in nationwide municipal organisations. Statistics Norway has entered into contracts with all relevant organisations regarding delivery and quality of administrative data and have annual meetings. Metadata for important administrative sources are stored. This concerns characteristics, definitions, classifications, instructions etc. The form of metadata is written documentation for each source, copies of forms and instructions.
7.1. Confidentiality - policy
The Statistics Act provides Statistics Norway's rights and obligations as a producer of statistics. Particularly related to confidentiality are:
Obligation of secrecy (2-4)
- (1) Any person performing work or service for a body which prepares or produces official statistics has a duty to prevent unauthorised persons from gaining access to or knowledge of whatever information he or she obtains concerning personal matters, administrative or business matters, or of technical appliances and methods used during the preparation or production of statistics. The obligation of secrecy applies only to such information as is collected for producing official statistics.
- (2) The obligation of secrecy also applies after the person concerned has completed the work service. Furthermore, the person concerned may not use such information as is mentioned in this section in his or her own business or in work or in the service of others.
The use of information (2-5)
- (1) Information collected in accordance with any prescribed obligation to provide information, or which is given voluntarily, may only be used to produce official statistics or for such other use as is approved by the Norwegian Data Protection Authority and is not detrimental to the security of the realm. If information is handed over, the obligation of secrecy pursuant to clause 2-4 shall also apply to the recipient of the information. When particular reasons so indicate, the Data Protection Authority may nevertheless make exceptions to such obligation of secrecy for certain types of information.
- (2) Any agency which hands over such information may stipulate conditions, inter alia concerning the use of the information and who shall be responsible for the information and have access thereto, concerning the storage and return of borrowed material, the destruction of copies etc.
The publication of information (2-6)
- Information collected in accordance with any prescribed obligation to provide information, or which is given voluntarily, shall under no circumstances be published in such a way that it may be traced back to the supplier of any data or to any other identifiable individual to the detriment of the person concerned, or to the unreasonable detriment of the latter if the supplier of the data or the individual is an undertaking such as company with limited liability, limited partnership and other group of companies, foundation or a public organisation.
Further guidelines are included in Statistics Norway’s safety manual. All Statistics Norway employees must sign a confidentiality agreement.
7.2. Confidentiality - data treatment
See sub-categories below.
7.2.1. Aggregated data
See sub-categories below.
7.2.1.1. Rules used to identify confidential cells
Threshold rule (The number of contributors is less than a pre-specified threshold)Dominance rule (The n largest contributions make up for more than k% of the cell total)
Secondary confidentiality rules
7.2.1.2. Methods to protect data in confidential cells
Cell suppression (Completely suppress the value of some cells)7.2.1.3. Description of rules and methods
Due to the continuous fall in the number of agricultural holdings and increased specialisation at holding level, confidentiality is an increasing problem when disseminating agricultural statistics. Procedures applied are:
1. Aggregation of information, i.e. less detailed statistics
2. Suppression of cells based on less than three observations
3. Suppression of cells if one dominant observation may be identified
In tables, alternatives 2 and 3 frequently result in suppression of more cells than those directly affected to avoid the possibility of calculating values of the suppressed cells through column totals or row totals.
There are few dominant holdings in Norwegian agriculture. Thus, alternative 3 is infrequently used.
7.2.2. Microdata
See sub-categories below.
7.2.2.1. Use of EU methodology for microdata dissemination
Yes7.2.2.2. Methods of perturbation
None7.2.2.3. Description of methodology
The methodology is described in the dedicated section of Eurostat”s website: https://ec.europa.eu/eurostat/web/microdata
8.1. Release calendar
There is no separate release calendar concerning IFS but Statistics Norway have the statistics calendar with all upcoming releases and publications.
8.2. Release calendar access
The statistics calendar can be accessed from Statistics Norways website https://www.ssb.no or directly by the link https://www.ssb.no/en/kommende-publiseringer
8.3. Release policy - user access
The general data release policy for Statistics Norway is that no external users have access to statistics or analyses before they are announced in the statistics calendar and published available for everyone at www.ssb.no at 08.00 (CET). This is one of Statistics Norway’s key principles for ensuring that all users are treated equally. The media is never given access to statistics or analyses prior to their release. This release policy also applies to Integraded Farm Statistics. The complete principles for equal treatment of users in releasing statistics and analyses, and a few limited exceprions i.e. advanse access for external users, can be found at https://www.ssb.no/en/omssb/kvalitet-i-offisiell-statistikk/prinsipper-for-kommunikasjon-og-formidling/prinsipper-for-likebehandling.
8.3.1. Use of quality rating system
No8.3.1.1. Description of the quality rating system
Not applicable
Most of core data are disseminated every year. Module data are disseminated according to Regulation 2018/1091.
10.1. Dissemination format - News release
See sub-categories below.
10.1.1. Publication of news releases
Yes10.1.2. Link to news releases
10.2. Dissemination format - Publications
See sub-categories below.
10.2.1. Production of paper publications
No10.2.2. Production of on-line publications
No10.2.3. Title, publisher, year and link
Not applicable
10.3. Dissemination format - online database
See sub-categories below.
10.3.1. Data tables - consultations
Total number of accesses on data tables in 2021 are:
- Structure of agriculture (the population of agricultural holdings): 10736
- Census of Agriculture: 2445
10.3.2. Accessibility of online database
Yes10.3.3. Link to online database
Structure of agriculture (the population of agricultural holdings): https://www.ssb.no/en/statbank/list/stjord
Census of Agriculture: https://www.ssb.no/en/statbank/list/landt
10.4. Dissemination format - microdata access
See sub-category below.
10.4.1. Accessibility of microdata
Yes10.5. Dissemination format - other
Not available
10.5.1. Metadata - consultations
Not requested.
10.6. Documentation on methodology
See sub-categories below.
10.6.1. Metadata completeness - rate
Not requested.
10.6.2. Availability of national reference metadata
Yes10.6.3. Title, publisher, year and link to national reference metadata
Landbruksteljing 2020, Dokumentasjon. Harald Myrli mfl. To be completed 2022.
10.6.4. Availability of national handbook on methodology
No10.6.5. Title, publisher, year and link to handbook
Not applicable
10.6.6. Availability of national methodological papers
No10.6.7. Title, publisher, year and link to methodological papers
Not applicable
10.7. Quality management - documentation
Not available
11.1. Quality assurance
See sub-categories below.
11.1.1. Quality management system
No11.1.2. Quality assurance and assessment procedures
None11.1.3. Description of the quality management system and procedures
Not applicable
11.1.4. Improvements in quality procedures
Not applicable
11.2. Quality management - assessment
Not available
12.1. Relevance - User Needs
The main groups of users are authorities involved in agriculture at national, regional and local level, the farmers' associations and research institutions. The main groups of variables are used for monitoring the development in agriculture, e.g. related to the distribution of holdings, different crops and livestock by region, amount of farm work and work in OGA on the holding and OGA off the holding. Furthermore, types of animal housing, manure storage by capacity and spreading of manure are important related to emission to rivers, lakes and air. Information may result in changes in agricultural policy.
12.1.1. Main groups of variables collected only for national purposes
Characteristics surveyed only for national purposes:
Man-hours in forestry on the holding for labour force directly employed by the holding
Man-hours in OGA on the holding for labour force directly employed by the holding
Non-family labour employed on a non-regular basis by gender
Farm work by persons not directly employed by the holding distributed by kind of work
Other gainful activities of the holding: there are 7 more categories than listed in the EU-regulation. Some of them are out of scope for IFS, e.g. rental from sites. Other may be included in OGA n.e.c.
- Rental from hunting or fishing rights
- Rental from farmhouse or farm building
- Rental from agricultural land
- Rental from sites
- Rental from stabling of horses, riding facilities etc.
- Sales of own unprocessed farm products in own shop, Farmers Market, outdoor sales etc.
- Cultivation and sales of Christmas trees and greenery
- Fur farming
The Norwegian questionnaire covered some more details regarding animal housing and manure management than decided in the EU-regulation. Additional topics are:
- Water added to liquid manure before spreading on utilised agricultural area: yes/no. If yes; i) less than one portion of water to one portion of manure, 2) one portion of water or more
- Is there an opening (slatted floor, area of grate etc.) between the animal housing and the manure stored below animal confinement: yes/no
- What kind of bedding was used to absorb moisture from manure in the animal housing? Straw / sawdust, wood chippings / turf, dried manure etc. / no bedding
- Percentage distribution of manure by type of storage at the beginning of spring work
- Presence of milking robot: yes/no
- Have other pigs than breeding sows access to outdoor area: yes/no
The background for these additional topics are emission of greenhouse gasses to air and run-off to lakes and rivers caused by storage and spreading of manure.
12.1.2. Unmet user needs
Important user needs are met.
12.1.3. Plans for satisfying unmet user needs
Not applicable
12.2. Relevance - User Satisfaction
In advance, an advisory committee with participation from important users were consulted.
12.2.1. User satisfaction survey
No12.2.2. Year of user satisfaction survey
Not applicable
12.2.3. Satisfaction level
Not applicable12.3. Completeness
Information on low- and zero prevalence variables is available on: Eurostat's website.
12.3.1. Data completeness - rate
Not applicable for Integrated Farm Statistics as the not collected variables, not-significant variables and not-existent variables are completed with 0.
13.1. Accuracy - overall
See categories below.
13.2. Sampling error
See sub-categories below.
13.2.1. Sampling error - indicators
Please find the relative standard errors for the main variables in the annex.
Annexes:
13.2.1. Thresholds of agricultural holdings
13.2.2. Reasons for non-compliant precision requirements in relation to Regulation (EU) 2018/1091
There are no cases where estimated RSEs are above thresholds.
13.2.3. Methodology used to calculate relative standard errors
Statistics Norway has developed the SAS application STRUKTUR, which is used to estimate RSEs. Furthermore, STRUKTUR could also be used in data inspection related to editing of data. Documentation of STRUKTUR is only available in Norwegian.
13.2.4. Impact of sampling error on data quality
None13.3. Non-sampling error
See sub-categories below.
13.3.1. Coverage error
See sub-categories below.
13.3.1.1. Over-coverage - rate
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.
The over-coverage rate has increased in 2020 compared to 2016. The population frame for the IFS 2020 included more possibly relevant units to ensure that all relevant units were included. In 2016 the population was drawn from units that had already applied for grants and were deemed relevant.
Annexes:
13.3.1.1. Over-coverage rate and Unit non-response rate
13.3.1.1.1. Types of holdings included in the frame but not belonging to the population of the core (main frame and if applicable frame extension)
Below thresholds during the reference periodTemporarily out of production during the reference period
Ceased activities
Merged to another unit
13.3.1.1.2. Actions to minimize the over-coverage error
None13.3.1.1.3. Additional information over-coverage error
Not available
13.3.1.2. Common units - proportion
Not requested.
13.3.1.3. Under-coverage error
See sub-categories below.
13.3.1.3.1. Under-coverage rate
The population of agricultural holdings does not seem to have significant under-coverage.
13.3.1.3.2. Types of holdings belonging to the population of the core but not included in the frame (main frame and if applicable frame extension)
New birthsNew units derived from split
Units with outdated information in the frame (variables below thresholds in the frame but above thresholds in the reference period)
13.3.1.3.3. Actions to minimise the under-coverage error
The bulk of the holdings is applying governmental production subsidies and hence subject to thorough checks organised by the Norwegian Agricultural Authority. The status of the additional holdings is more uncertain. This sub-population is based on data from different registers. It is rather easy to identify that some activity has taken place during the calendar year 2020, while it is rather difficult to prove whether the holding was active at the survey date October 1th, had stopped farming before that date or had started farming later. Furthermore, for some of these holdings it is difficult to estimate an accurate agricultural area by crop and the number of different livestock categories. Due to rapid structural changes, there is a risk of including a holding in the sub-population of additional holdings that is already unified with another holding applying government subsidies. Various checks were done to avoid such an error.
13.3.1.3.4. Additional information under-coverage error
Not available
13.3.1.4. Misclassification error
No13.3.1.4.1. Actions to minimise the misclassification error
Not applicable
13.3.1.5. Contact error
No13.3.1.5.1. Actions to minimise the contact error
Not applicable
13.3.1.6. Impact of coverage error on data quality
None13.3.2. Measurement error
See sub-categories below.
13.3.2.1. List of variables mostly affected by measurement errors
- WH_HLD_AWU_PC Working hours by holder - % band Annual work unit (AWU)
- FLF_D_RFAM_M_PC1T24 Family farm labour force directly employed by the farm on a regular basis - Male - 1-24% Annual work unit (AWU)
- FLF_D_RFAM_M_PC25T49 Family farm labour force directly employed by the farm on a regular basis - Male - 25-49% Annual work unit (AWU)
- FLF_D_RFAM_M_PC50T74 Family farm labour force directly employed by the farm on a regular basis - Male - 50-74% Annual work unit (AWU)
- FLF_D_RFAM_M_PC75T99 Family farm labour force directly employed by the farm on a regular basis - Male - 75-99% Annual work unit (AWU)
- FLF_D_RFAM_M_PC100 Family farm labour force directly employed by the farm on a regular basis - Male - 100% Annual work unit (AWU)
- FLF_D_RFAM_F_PC1T24 Family farm labour force directly employed by the farm on a regular basis - Female - 1-24% Annual work unit (AWU)
- FLF_D_RFAM_F_PC25T49 Family farm labour force directly employed by the farm on a regular basis - Female - 25-49% Annual work unit (AWU)
- FLF_D_RFAM_F_PC50T74 Family farm labour force directly employed by the farm on a regular basis - Female - 50-74% Annual work unit (AWU)
- FLF_D_RFAM_F_PC75T99 Family farm labour force directly employed by the farm on a regular basis - Female - 75-99% Annual work unit (AWU)
- FLF_D_RFAM_F_PC100 Family farm labour force directly employed by the farm on a regular basis - Female - 100% Annual work unit (AWU)
13.3.2.2. Causes of measurement errors
Complexity of variablesUnclear questions
Respondents’ inability to provide accurate answers
13.3.2.3. Actions to minimise the measurement error
Pre-testing questionnaireExplanatory notes or handbooks for enumerators or respondents
On-line FAQ or Hot-line support for enumerators or respondents
13.3.2.4. Impact of measurement error on data quality
Low13.3.2.5. Additional information measurement error
Serious systematic measurement errors are neither discovered in the questionnaires nor in the editing process. Nevertheless, some characteristics are difficult to answer accurately for the respondents. This concerns particularly amount of work carried out by holder, spouse/cohabitant of holder and family members. There is great variation in the amount of work carried out by the labour force on holdings and thus it is difficult to assess, and possibly correct information reported. The editing process included checks to detect obvious errors. Total farm work was compared with farm type and size of the holding. Extremely high or low values (outliers) were corrected. Extremely high values (outliers) of the aggregate of farm work, work related to OGA and other work per person were corrected.
13.3.3. Non response error
See sub-categories below.
13.3.3.1. Unit non-response - rate
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.
13.3.3.1.1. Reasons for unit non-response
Refusal to participateInability to participate (e.g. illness, absence)
13.3.3.1.2. Actions to minimise or address unit non-response
Follow-up interviewsReminders
Legal actions
Imputation
13.3.3.1.3. Unit non-response analysis
605 respondents did not respond at all or the filling in of the questionnaire was so poor that the information was useless. Reasons for non-response have not been investigated. The most probable reason is that some respondents are generally unwilling to complete questionnaires. Furthermore, non-respondents have not been analysed with respect to survey variables. Based on assessments, there is no significant bias among the non-response holdings.
13.3.3.2. Item non-response - rate
The item non-response rates are not calculated. Item non-responses was relatively low on most questions due to validation checks and mandatory completion checks in the electronic questionnaire. In some cases where the initial question was answered incorrectly, no further questions were opened. If later checks of the form against register data on livestock or agricultural area showed that this was incorrect, the form was sent back to the respondent. Only in cases where it was still not answered, it was imputed.
13.3.3.2.1. Variables with the highest item non-response rate
Not applicable
13.3.3.2.2. Reasons for item non-response
RefusalSkip of due question
13.3.3.2.3. Actions to minimise or address item non-response
Follow-up interviewsReminders
Imputation
13.3.3.3. Impact of non-response error on data quality
Low13.3.3.4. Additional information non-response error
Not available
13.3.4. Processing error
See sub-categories below.
13.3.4.1. Sources of processing errors
Imputation methods13.3.4.2. Imputation methods
Deductive imputationRatio imputation
Nearest neighbour imputation
13.3.4.3. Actions to correct or minimise processing errors
Not available
13.3.4.4. Tools and staff authorised to make corrections
Data were checked and edited by means of a general data editing software application called DYNAREV, developed in Statistics Norway. Only staff at Statistics Norway involved in the Census of Agriculture 2020 were authorised to make corrections.
13.3.4.5. Impact of processing error on data quality
Low13.3.4.6. Additional information processing error
Not available
13.3.5. Model assumption error
Not applicable
14.1. Timeliness
See sub-categories below.
14.1.1. Time lag - first result
The population of agricultural holdings 2020: release of preliminary statistics on 12 February, i.e. 1 month, 12 days. The Census of Agriculture 2020: release of preliminary statistics on 17 March 2021, i.e. 2 months, 17 days.
14.1.2. Time lag - final result
The population of agricultural holdings 2020: release of final statistics on 28 September 2021, i.e. 8 months, 28 days. The Census of Agriculture 2020: release of final statistics on October 1th 2021, i.e. 9 months, 1 day.
14.2. Punctuality
See sub-categories below.
14.2.1. Punctuality - delivery and publication
See sub-categories below.
14.2.1.1. Punctuality - delivery
Not requested.
14.2.1.2. Punctuality - publication
The population of agricultural holdings 2020: planned release of final statistics was postponed from 30 June 2021 to 28 September 2021, i.e. 90 days. The Census of Agriculture 2020: planned release of final statistics was postponed from 30 August 2021 to October 1th 2021, i.e. 32 days .
15.1. Comparability - geographical
See sub-categories below.
15.1.1. Asymmetry for mirror flow statistics - coefficient
Not applicable, because there are no mirror flows in Integrated Farm Statistics.
15.1.2. Definition of agricultural holding
See sub-categories below.
15.1.2.1. Deviations from Regulation (EU) 2018/1091
Related to Regulation (EU) 2018/1091, article 2 (a), there are three minor differences between the national definition and the EU definition of the holding.
The Norwegian definition:
- excludes cultivation of Christmas trees (NACE, class 01.29);
- excludes holdings exclusively maintaining agricultural land in good agricultural and environmental condition (NACE, class 01.61);
- excludes holdings exclusively raising animals for the production of fur.
15.1.2.2. Reasons for deviations
- Excluding cultivation of Christmas trees (NACE, class 01.29): According to Norwegian legislation, area for cultivation of Christmas trees is defined as forest area. (Even if the area has been agricultural land before planting of Christmas trees.)
- Excluding holdings exclusively maintaining agricultural land in good agricultural and environmental condition (NACE, class 01.61): There is no subsidy scheme for such agricultural land in Norway. Thus, the area is included in unutilised agricultural land.
- Excluding holdings exclusively raising animals for the production of fur: Holdings with only fur animals are not included in our data collection because they do not meet the thresholds.
15.1.3. Thresholds of agricultural holdings
See sub-categories below.
15.1.3.1. Proofs that the EU coverage requirements are met
| Total | Covered by the thresholds | Attained coverage | Minimum requested coverage | |
|---|---|---|---|---|
| 1 | 2 | 3=2*100/1 | 4 | |
| UAA excluding kitchen gardens | 982791 | 982791 | 100% | 98% |
| LSU | 1187548 | 1187548 | 100% | 98% |
Statistics Norway is annually establishing a register of agricultural holdings. Several data sources are used, of which the most important is the register of holdings eligible for national support for agricultural land and livestock. The register is updated twice per year. However, greenhouse area is not included in the register. Due to this, greenhouse areas are obtained from the yearly survey on horticultural production and supplemented by data from the Norwegian Gardners Association. Other sources involved are the register of slaughtered animals and the register of grain, field peas, beans, lupins, rape and turnip rape seeds. For the IFS 2020 census, questionnaire was sent to 41 279 holdings of which 38 713 were approved.
15.1.3.2. Differences between the national thresholds and the thresholds used for the data sent to Eurostat
The thresholds applied for the national data collection is equal to the thresholds applied for the data sent to Eurostat.
15.1.3.3. Reasons for differences
Not applicable
15.1.4. Definitions and classifications of variables
See sub-categories below.
15.1.4.1. Deviations from Regulation (EU) 2018/1091 and EU handbook
Not applicable
15.1.4.1.1. The number of working hours and days in a year corresponding to a full-time job
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.
Annexes:
15.1.4.1.1.AWU
15.1.4.1.2. Point chosen in the Annual work unit (AWU) percentage band to calculate the AWU of holders, managers, family and non-family regular workers
The information is available in the annex of item 15.1.4.1.1.
15.1.4.1.3. AWU for workers of certain age groups
The information is available in the annex of item 15.1.4.1.1.
15.1.4.1.4. Livestock coefficients
Not applicable
15.1.4.1.5. Livestock included in “Other livestock n.e.c.”
Not applicable
15.1.4.2. Reasons for deviations
Not applicable
15.1.5. Reference periods/days
See sub-categories below.
15.1.5.1. Deviations from Regulation (EU) 2018/1091
Not applicable
15.1.5.2. Reasons for deviations
Not applicable
15.1.6. Common land
The concept of common land does not exist15.1.6.1. Collection of common land data
Not applicable15.1.6.2. Reasons if common land exists and data are not collected
Not applicable
15.1.6.3. Methods to record data on common land
Not applicable15.1.6.4. Source of collected data on common land
Not applicable15.1.6.5. Description of methods to record data on common land
Not applicable
15.1.6.6. Possible problems in relation to the collection of data on common land and proposals for future data collections
Not applicable
15.1.7. National standards and rules for certification of organic products
See sub-categories below.
15.1.7.1. Deviations from Council Regulation (EC) No 834/2007
There are no substantial differences between national standards and rules according to Council Regulation No.834/2007.
15.1.7.2. Reasons for deviations
Not applicable
15.1.8. Differences in methods across regions within the country
Not applicable
15.2. Comparability - over time
See sub-categories below.
15.2.1. Length of comparable time series
There have been no changes in time series since the agricultural Census 2010
15.2.2. Definition of agricultural holding
See sub-categories below.
15.2.2.1. Changes since the last data transmission to Eurostat
There have been some changes but not enough to warrant the designation of a break in series15.2.2.2. Description of changes
Regulation (EU) 2018/1091 newly considers agricultural holdings with only fur animals. However even if our country raises fur animals, holdings with only fur animals are not included in our data collection because they do not meet the thresholds. The thresholds for animals are expressed in livestock units (LSU) and fur animals are not associated LSU coefficients. We did not add thresholds related to fur animals; there is no reason for it (fur animals do not contribute towards 98% of the total LSU).
15.2.3. Thresholds of agricultural holdings
See sub-categories below.
15.2.3.1. Changes in the thresholds of holdings for which core data are sent to Eurostat since the last data transmission
There have been some changes but not enough to warrant the designation of a break in series15.2.3.2. Description of changes
Changes: Threshold: Cultivating at least 0.5 ha of utilised agricultural land has been changed to cultivating at least 2.0 ha. Threshold: Cultivating at least 0.1 ha of orchard has been changed to cultivating at least 0.2 ha. Threshold: Cultivating 0.1 ha of berries has been changed to 0.2 ha. Threshold: had at least 25 beehives in use has been changed to 25 'bee flocks' being able to pass the winter. One beehive may include two 'bee flocks'.
15.2.4. Geographical coverage
See sub-categories below.
15.2.4.1. Change in the geographical coverage since the last data transmission to Eurostat
There have been no changes15.2.4.2. Description of changes
Not applicable
15.2.5. Definitions and classifications of variables
See sub-categories below.
15.2.5.1. Changes since the last data transmission to Eurostat
There have been some changes but not enough to warrant the designation of a break in series15.2.5.2. Description of changes
Legal personality of the agricultural holding
In IFS, there is a new class (“shared ownership”) for the legal personality of the holding compared to FSS 2016, which trigger fluctuations of holdings in the classes of sole holder holdings and group holdings.
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.
15.2.6. Reference periods/days
See sub-categories below.
15.2.6.1. Changes since the last data transmission to Eurostat
There have been some changes but not enough to warrant the designation of a break in series15.2.6.2. Description of changes
The reference period for livestock variables has been changed due to a shift in the reference day in the applications for agricultural production subsidies. For the same reason this was also the reference period for labour force.
The calendar year has been chosen as the reference period for manure management, land variables and irrigable area as it was considered the most accurate and straightforward for respondents to relate to.
We acknowledge that the shift in reference period may require some adjustment for respondents and users of the statistics, but it is not believed that this will have a significant impact on comparability with previous years.
15.2.7. Common land
See sub-categories below.
15.2.7.1. Changes in the methods to record common land since the last data transmission to Eurostat
There have been no changes15.2.7.2. Description of changes
Not applicable
15.2.8. Explanations for major trends of main variables compared to the last data transmission to Eurostat
All animal populations for 2020 have been corrected based on their application for governmental grants. This was not done for 2016, which was a sample survey.
- E0000T (Seeds and seedlings - outdoor): Collected from register for 2020;
- C1200T (Rye and winter cereal mixtures (maslin) - outdoor): Triticale was not reported for 2016, only Rye was reported for 2016;
- N0000T (Flowers and ornamental plants (excluding nurseries) - outdoor): this is still only hobby production;
- P1000T (Field peas, beans and sweet lupins - outdoor): cultivated by a small population of holdings and collected from register for 2020;
- V0000_S0000S (Fresh vegetables (including melons) and strawberries - under glass or high accessible cover): cultivated by a small population of holdings and collected based on a sample survey in 2016.
Labour force (AWU): Between FSS 2016 and IFS 2020, the share of female family and non-family labour force (AWU) directly employed in sole holder holdings decreased from 49,7% to 18,3%.
National statistics show that the number of hours worked by regular and non-regular female employees are stable to approximately 25% in the total number of working hours worked by regular and non-regular employees (family members are not included in this analysis).
The number of hours worked by non-regular female employees are more or less equal to the number of hours worked by non-regular male employees. However, the number of hours worked by regular male employees are higher than the number of hours worked by regular female employees.
15.2.9. Maintain of statistical identifiers over time
No15.3. Coherence - cross domain
See sub-categories below.
15.3.1. Coherence - sub annual and annual statistics
Not applicable to Integrated Farm Statistics, because there are no sub annual data collections in agriculture.
15.3.2. Coherence - National Accounts
Not applicable, because Integrated Farm Statistics have no relevance for national accounts.
15.3.3. Coherence at micro level with data collections in other domains in agriculture
See sub-categories below.
15.3.3.1. Analysis of coherence at micro level
No15.3.3.2. Results of analysis at micro level
Statistics Norway does not collect IFS characteristics in other questionnaire-based surveys.
In other questionnaire-based surveys, e.g. annual survey on horticultural and permanent crops production and annual survey on potato and coarse fodder production, relevant area information from the total population of agricultural holdings is pre-printed. Usually these areas are not changed by the respondents.
Some problems occur related to the harmonization of organic farming areas: The System of Governmental Production Subsidies covers only a rough distribution of certified areas and areas under conversion by crop. The Organic Farming Register is used for the detailed distribution of crops. However, missing harmonisation between the two sources result in some under-coverage of organically cultivated crop areas and crop areas under conversion.
15.3.4. Coherence at macro level with data collections in other domains in agriculture
See sub-categories below.
15.3.4.1. Analysis of coherence at macro level
Yes15.3.4.2. Results of analysis at macro level
Q0000 (Fallow land) includes both green manure and fallow land in IFS. In APRO statistics, green manure is included in ARA99 (Other arable land crops n.e.c.), not in Q0000 (Fallow land), hence there is a discrepancy between IFS and APRO statistics.
ARA99 (Other arable land crops n.e.c.) includes green manure and seeds and seedlings in APRO statistics. Lawn roll is however excluded from ARA99 (Other arable land crops n.e.c.) in the reporting to Eurostat for APRO statistics, since this is part of Other industrial crops n.e.c - outdoor (I9000T). ARA99 is therefore significant larger in APRO statistics than in IFS statistics.
I0000 (Industrial crops): the higher value of IFS statistics compared to APRO statistics is caused by the fact that Aromatic, medicinal and culinary plants - outdoor (I5000T) and Other industrial crops n.e.c - outdoor (I9000T) are not included in the category I0000 in APRO.
C1300 (Barley): In APRO statistics, the precise value is 128,1 ha, while in Eurobase this value is rounded to 100 ha.
P0000 (Dry pulses and protein crops for the production of grain (including seed and mixtures of cereals and pulses)): The reported value for APRO statistics is 162,40 ha. The value for APRO statistics in Eurobase is rounded to 200 ha.
15.4. Coherence - internal
The data are internally consistent. This is ensured by the application of a wide range of validation rules.
See sub-categories below.
16.1. Coordination of data collections in agricultural statistics
At Statistics Norway there is no other questionnaire-based surveys with the same kind of questions as in the IFS. Other institutions may carry out surveys with equal or similar questions as Statistics Norway. E.g., the Institute for Rural and Regional Research conducts a trend survey in agriculture every second year. This survey includes to a certain degree the same kind of questions.
16.2. Efficiency gains since the last data transmission to Eurostat
Further automationIncreased use of administrative data
16.2.1. Additional information efficiency gains
Not available
16.3. Average duration of farm interview (in minutes)
See sub-categories below.
16.3.1. Core
Not available. The variables are collected with a web-questionnaire.
16.3.2. Module ‘Labour force and other gainful activities‘
Not available. The variables are collected with a web-questionnaire.
16.3.3. Module ‘Rural development’
Not relevant
16.3.4. Module ‘Animal housing and manure management’
Not available. The variables are collected with a web-questionnaire.
16.3.5. Module ‘Irrigation’
Restricted from publication16.3.6. Module ‘Soil management practices’
Restricted from publication16.3.7. Module ‘Machinery and equipment’
Restricted from publication16.3.8. Module ‘Orchard’
Restricted from publication16.3.9. Module ‘Vineyard’
Restricted from publication17.1. Data revision - policy
Statistics Norway publish both preliminary and final results of the Census of Agriculture 2020. IFS data submitted to Eurostat are based on the final data. Statistics Norway distinguishes between revisions and corrections. Revisions is related to preliminary and final versions of the related statistics. Corrections are related to detected errors in preliminary or final versions of statistics after publication.
17.2. Data revision - practice
Both the population of agricultural holdings and the Census of Agriculture are disseminated as preliminary and final versions.
Statistics Norway receives preliminary and final versions of the System of Governmental Production Subsidies. The preliminary data are used to:
• Present up to date statistics on holdings, crop areas, livestock etc.
• Frame for population to Census of Agriculture and other questionnaire-based surveys conducted by Statistics Norway.
The final data of the System of Governmental Production Subsidies and data from other administrative registers are used to establish the final version of the population of agricultural holdings. The population is used to:
• Present final statistics on holdings, crop areas, livestock etc.
• Frame for adjusting the population from the preliminary version.
IFS data submitted to Eurostat are based on the final data for both the population of agricultural holdings and the Census of Agriculture.
17.2.1. Data revision - average size
Not requested.
Annexes:
18. Timetable statistical process
18.1. Source data
See sub-categories below.
18.1.1. Population frame
See sub-categories below.
18.1.1.1. Type of frame
List frame18.1.1.2. Name of frame
The population of agricultural holdings
18.1.1.3. Update frequency
Annual18.1.2. Core data collection on the main frame
See sub-categories below.
18.1.2.1. Coverage of agricultural holdings
Census18.1.2.2. Sampling design
Not applicable for 2019/2020.
18.1.2.2.1. Name of sampling design
Not applicable18.1.2.2.2. Stratification criteria
Not applicable18.1.2.2.3. Use of systematic sampling
Not applicable18.1.2.2.4. Full coverage strata
Not applicable for 2019/2020.
18.1.2.2.5. Method of determination of the overall sample size
Not applicable for 2019/2020.
18.1.2.2.6. Method of allocation of the overall sample size
Not applicable18.1.3. Core data collection on the frame extension
See sub-categories below.
18.1.3.1. Coverage of agricultural holdings
Not applicable18.1.3.2. Sampling design
Not applicable
18.1.3.2.1. Name of sampling design
Not applicable18.1.3.2.2. Stratification criteria
Not applicable18.1.3.2.3. Use of systematic sampling
Not applicable18.1.3.2.4. Full coverage strata
Not applicable
18.1.3.2.5. Method of determination of the overall sample size
Not applicable
18.1.3.2.6. Method of allocation of the overall sample size
Not applicable18.1.4. Module “Labour force and other gainful activities”
See sub-categories below.
18.1.4.1. Coverage of agricultural holdings
Census18.1.4.2. Sampling design
Not applicable
18.1.4.2.1. Name of sampling design
Not applicable18.1.4.2.2. Stratification criteria
Not applicable18.1.4.2.3. Use of systematic sampling
Not applicable18.1.4.2.4. Full coverage strata
Not applicable
18.1.4.2.5. Method of determination of the overall sample size
Not applicable
18.1.4.2.6. Method of allocation of the overall sample size
Not applicable18.1.4.2.7. If sampled from the core sample, the sampling and calibration strategy
Not applicable18.1.5. Module “Rural development”
See sub-categories below.
18.1.5.1. Coverage of agricultural holdings
Not applicable18.1.5.2. Sampling design
Not applicable
18.1.5.2.1. Name of sampling design
Not applicable18.1.5.2.2. Stratification criteria
Not applicable18.1.5.2.3. Use of systematic sampling
Not applicable18.1.5.2.4. Full coverage strata
Not applicable
18.1.5.2.5. Method of determination of the overall sample size
Not applicable
18.1.5.2.6. Method of allocation of the overall sample size
Not applicable18.1.5.2.7. If sampled from the core sample, the sampling strategy and calibration strategy
Not applicable18.1.6. Module “Animal housing and manure management module”
See sub-categories below.
18.1.6.1. Coverage of agricultural holdings
Census18.1.6.2. Sampling design
Not applicable
18.1.6.2.1. Name of sampling design
Not applicable18.1.6.2.2. Stratification criteria
Not applicable18.1.6.2.3. Use of systematic sampling
Not applicable18.1.6.2.4. Full coverage strata
Not applicable
18.1.6.2.5. Method of determination of the overall sample size
Not applicable
18.1.6.2.6. Method of allocation of the overall sample size
Not applicable18.1.6.2.7. If sampled from the core sample, the sampling strategy and calibration strategy
Not applicable18.1.7. Module ‘Irrigation’
Restricted from publication18.1.7.1. Coverage of agricultural holdings
Restricted from publication18.1.7.2. Sampling design
Restricted from publication18.1.7.2.1. Name of sampling design
Restricted from publication18.1.7.2.2. Stratification criteria
Restricted from publication18.1.7.2.3. Use of systematic sampling
Restricted from publication18.1.7.2.4. Full coverage strata
Restricted from publication18.1.7.2.5. Method of determination of the overall sample size
Restricted from publication18.1.7.2.6. Method of allocation of the overall sample size
Restricted from publication18.1.7.2.7. If sampled from the core sample, the sampling strategy and calibration strategy
Restricted from publication18.1.8. Module ‘Soil management practices’
Restricted from publication18.1.8.1. Coverage of agricultural holdings
Restricted from publication18.1.8.2. Sampling design
Restricted from publication18.1.8.2.1. Name of sampling design
Restricted from publication18.1.8.2.2. Stratification criteria
Restricted from publication18.1.8.2.3. Use of systematic sampling
Restricted from publication18.1.8.2.4. Full coverage strata
Restricted from publication18.1.8.2.5. Method of determination of the overall sample size
Restricted from publication18.1.8.2.6. Method of allocation of the overall sample size
Restricted from publication18.1.8.2.7. If sampled from the core sample, the sampling strategy and calibration strategy
Restricted from publication18.1.9. Module ‘Machinery and equipment’
Restricted from publication18.1.9.1. Coverage of agricultural holdings
Restricted from publication18.1.9.2. Sampling design
Restricted from publication18.1.9.2.1. Name of sampling design
Restricted from publication18.1.9.2.2. Stratification criteria
Restricted from publication18.1.9.2.3. Use of systematic sampling
Restricted from publication18.1.9.2.4. Full coverage strata
Restricted from publication18.1.9.2.5. Method of determination of the overall sample size
Restricted from publication18.1.9.2.6. Method of allocation of the overall sample size
Restricted from publication18.1.9.2.7. If sampled from the core sample, the sampling strategy and calibration strategy
Restricted from publication18.1.10. Module ‘Orchard’
Restricted from publication18.1.10.1. Coverage of agricultural holdings
Restricted from publication18.1.10.2. Sampling design
Restricted from publication18.1.10.2.1. Name of sampling design
Restricted from publication18.1.10.2.2. Stratification criteria
Restricted from publication18.1.10.2.3. Use of systematic sampling
Restricted from publication18.1.10.2.4. Full coverage strata
Restricted from publication18.1.10.2.5. Method of determination of the overall sample size
Restricted from publication18.1.10.2.6. Method of allocation of the overall sample size
Restricted from publication18.1.10.2.7. If sampled from the core sample, the sampling strategy and calibration strategy
Restricted from publication18.1.11. Module ‘Vineyard’
Restricted from publication18.1.11.1. Coverage of agricultural holdings
Restricted from publication18.1.11.2. Sampling design
Restricted from publication18.1.11.2.1. Name of sampling design
Restricted from publication18.1.11.2.2. Stratification criteria
Restricted from publication18.1.11.2.3. Use of systematic sampling
Restricted from publication18.1.11.2.4. Full coverage strata
Restricted from publication18.1.11.2.5. Method of determination of the overall sample size
Restricted from publication18.1.11.2.6. Method of allocation of the overall sample size
Restricted from publication18.1.11.2.7. If sampled from the core sample, the sampling strategy and calibration strategy
Restricted from publication18.1.12. Software tool used for sample selection
Not applicable
18.1.13. Administrative sources
See sub-categories below.
18.1.13.1. Administrative sources used and the purposes of using them
The information is available on Eurostat's website.
18.1.13.2. Description and quality of the administrative sources
See the attached Excel file in the Annex.
Annexes:
18.1.13.2 Description and quality of the administrative sources
18.1.13.3. Difficulties using additional administrative sources not currently used
Problems related to data quality of the source18.1.14. Innovative approaches
The information on innovative approaches is available on Eurostat's website.
18.2. Frequency of data collection
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.
18.3. Data collection
See sub-categories below.
18.3.1. Methods of data collection
Use of Internet18.3.2. Data entry method, if paper questionnaires
Not applicable18.3.3. Questionnaire
Please find the questionnaire in annex.
Annexes:
18.3.3. Questionnaire English translation
18.3.3. Questionnaire Norwegian version
18.4. Data validation
See sub-categories below.
18.4.1. Type of validation checks
Data format checksCompleteness checks
Routing checks
Range checks
Relational checks
18.4.2. Staff involved in data validation
Staff from central department18.4.3. Tools used for data validation
SAS
18.5. Data compilation
Not applicable
18.5.1. Imputation - rate
The rates are unweighted
| WH_HLD_AWU_PC | 2,03 |
| MOGA_HLD_RH | 0,22 |
| SOGA_HLD_RH | 1,59 |
| WH_MAN_AWU_PC | 1,09 |
| FLF_ND | 1,98 |
18.5.2. Methods used to derive the extrapolation factor
Not applicable18.6. Adjustment
Covered under Data compilation.
18.6.1. Seasonal adjustment
Not applicable to Integrated Farm Statistics, because it collects structural data on agriculture.
See sub-categories below.
19.1. List of abbreviations
CAP – Common Agricultural Policy
FSS – Farm Structure Survey
IFS – Integrated Farm Statistics
LSU – Livestock units
NACE – Nomenclature of Economic Activities
NUTS – Nomenclature of territorial units for statistics
SO – Standard output
UAA – Utilised agricultural area
OGA - Other gainful activities
NAA - Norwegian Agriculture Agency (NAA is running the system of governmental production subsidies in agriculture)
PROS - The system of governmental production subsidies
19.2. Additional comments
No additional comments.
The data describe the structure of agricultural holdings providing the general characteristics of farms and farmers and information on their land, livestock and labour force. They also describe production methods, rural development measures 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 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.
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 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 "Animal housing": animal housing, nutrient use and manure on the farm, manure application techniques, facilities for manure.
See sub-category below.
See sub-categories below.
See sub-categories below.
See sub-categories below.
See categories below.
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.
Not applicable
See sub-categories below.
Most of core data are disseminated every year. Module data are disseminated according to Regulation 2018/1091.
See sub-categories below.
See sub-categories below.
See sub-categories below.