Farm structure (ef)

National Reference Metadata in Single Integrated Metadata Structure (SIMS)

Compiling agency: Service d'Economie Rurale (SER)


Eurostat metadata
Reference metadata
1. Contact
2. Metadata update
3. Statistical presentation
4. Unit of measure
5. Reference Period
6. Institutional Mandate
7. Confidentiality
8. Release policy
9. Frequency of dissemination
10. Accessibility and clarity
11. Quality management
12. Relevance
13. Accuracy
14. Timeliness and punctuality
15. Coherence and comparability
16. Cost and Burden
17. Data revision
18. Statistical processing
19. Comment
Related Metadata
Annexes (including footnotes)
 



For any question on data and metadata, please contact: Eurostat user support

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1. Contact Top
1.1. Contact organisation

Service d'Economie Rurale (SER)

1.2. Contact organisation unit

Division of agricultural statistics, agricultural markets and external relations

1.5. Contact mail address

BP 2102, L-1021 Luxembourg


2. Metadata update Top
2.1. Metadata last certified 21/03/2022
2.2. Metadata last posted 21/03/2022
2.3. Metadata last update 21/03/2022


3. Statistical presentation Top
3.1. 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 "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.
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 or

- 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.

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
No
3.6.1.2. Lowered and/or additional thresholds compared to Regulation (EU) 2018/1091
No
3.6.2. 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 modules ‘Labour force and other gainful activities’ and ‘Rural development’. The module ‘Machinery and equipment’ is not collected in 2020.

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. We sent records also on holdings without animals. Information on animal housing and manure management is however only available for holdings with at least one of the following: bovine animals, pigs, sheep, goats, poultry.

3.7. Reference area

See sub-categories below.

3.7.1. Geographical area covered

The entire territory of the country.

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 production
The majority of the area of the holding
The residence of the farmer (manager) not further than 5 km straight from the farm
3.7.4. Additional information reference area

The main criteria to establish the geographical location of the holding was the main production building. If there was no information, the grid with the most utilised agricultural area was used. In some cases, the residence of the farmer was used when there was no other reliable information.

3.8. Coverage - Time

Farm structure statistics in our country cover the period from 1953 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.


4. Unit of measure Top

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.


5. Reference Period Top

See sub-categories below.

5.1. Reference period for land variables

Even though land is measured at the reference date April 1 2020, the measurement covers the crop year is the 12 months period covering the whole cultivation period (from seed to harvest) of the main arable crops cultivated in Luxembourg. The cultivation period lasts from autumn 2019 to autumn 2020. It lasts from September 1, T to August 31, T+1.

5.2. Reference period for variables on irrigation and soil management practices

Variables on soil management practices are not part of the IFS2020 collection. The same applies to variables on irrigation with the exception of "Irrigable utilised agricultural area-outdoor". This variable is flagged as NSNE for Luxembourg. Thus, a reference period is not applicable for LU.

5.3. Reference day for variables on livestock and animal housing

The reference day of 1 April within the reference year 2020.

5.4. Reference period for variables on manure management

The 12-month period ending on 1 April 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 1 April within the reference year 2020.

5.6. Reference period for variables on rural development measures

The three-year period ending on 31 December 2020.

5.7. Reference day for all other variables

The reference day 1 April within the reference year 2020.


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

See sub-categories below.

6.1.1. National legal acts and other agreements
Other formal agreement
6.1.2. Name of national legal acts and other agreements

Law of the SER, Law of the NSI & Grand-ducal regulation on the public statistics committee.

6.1.3. Link to national legal acts and other agreements

Law of the SER (only available in French): https://legilux.public.lu/eli/etat/leg/loi/1980/02/25/n2/jo

Law of the NSI (only available in French): https://legilux.public.lu/eli/etat/leg/loi/2011/07/10/n5/jo

Grand-ducal regulation on the public statistics committee (only available in French): https://legilux.public.lu/eli/etat/leg/rgd/2013/03/12/n2/jo

6.1.4. Year of entry into force of national legal acts and other agreements

Law of the SER: 1980

Law of the NSI: 2011

Grand-ducal regulation on the public statistics committee: 2013

6.1.5. Legal obligations for respondents
No
6.2. Institutional Mandate - data sharing

All data required for IFS 2020 is available in the SER or in the ministry of agriculture, so no data sharing arrangement necessary. An agreement with the National Statistical Institute (NSI, STATEC) on the exchange of former microdata respectively microdata of other data collections however exists.


7. Confidentiality Top
7.1. Confidentiality - policy

According to article 16 of STATEC's law, the dissemination of confidential data is forbidden and subject to criminal penalty. The definition of confidential data is in line with the Regulation (EC) 223/2009 on European Statistics. As a member of the Luxemburgish Statistical System, the SER applies this article in all respects. In addition, all employees of the SER are public servants engaging them for confidentiality in every aspect.

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)
7.2.1.2. Methods to protect data in confidential cells
Table redesign (Collapsing rows and/or columns)
Cell suppression (Completely suppress the value of some cells)
7.2.1.3. Description of rules and methods

Tabular data are protected using the following approaches:

- table design: very detailed tables are avoided (e.g. data published by municipality) unless the data is not confidential (e.g. number of agricultural holdings, total UAA, etc.). On a national level, almost any data (i.e. low occurrence variables) can be published. Problems arise with national data broken down by one or more spanning variables (farm type, size class, municipality, etc.). The table design usually results in a compromise between relevance and confidentiality;

- In case of confidentiality problems, tables are either redesigned or cells are suppressed. This is case-dependent.

7.2.2. Microdata

See sub-categories below.

7.2.2.1. Use of EU methodology for microdata dissemination
Not applicable
7.2.2.2. Methods of perturbation
None
7.2.2.3. Description of methodology

No microdata dissemination.


8. Release policy Top
8.1. Release calendar

No release calendar available. Aggregated data are published as soon as possible.

8.2. Release calendar access

Not applicable.

8.3. Release policy - user access

No release policy. Aggregated data are published as soon as possible.

8.3.1. Use of quality rating system
No
8.3.1.1. Description of the quality rating system

Not available.


9. Frequency of dissemination Top

Yearly dissemination of aggregated data.


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

See sub-categories below.

10.1.1. Publication of news releases
No
10.1.2. Link to news releases

Not available.

10.2. Dissemination format - Publications

See sub-categories below.

10.2.1. Production of paper publications
No
10.2.2. Production of on-line publications
No
10.2.3. Title, publisher, year and link

Not available.

10.3. Dissemination format - online database

See sub-categories below.

10.3.1. Data tables - consultations

Not available.

10.3.2. Accessibility of online database
Yes
10.3.3. Link to online database

Link to database of the NSI:

https://lustat.statec.lu/?lc=fr&pg=0&fs[0]=Th%C3%A8mes%2C1%7CEntreprises%23D%23%7CAgriculture%20et%20foresterie%23D2%23&fc=Th%C3%A8mes

10.4. Dissemination format - microdata access

See sub-category below.

10.4.1. Accessibility of microdata
No
10.5. 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
No
10.6.3. Title, publisher, year and link to national reference metadata

Not available.

10.6.4. Availability of national handbook on methodology
No
10.6.5. Title, publisher, year and link to handbook

Not available.

10.6.6. Availability of national methodological papers
No
10.6.7. Title, publisher, year and link to methodological papers

Not available.

10.7. Quality management - documentation

Not available.


11. Quality management Top
11.1. Quality assurance

See sub-categories below.

11.1.1. Quality management system
No
11.1.2. Quality assurance and assessment procedures
Use of best practices
Peer review
11.1.3. Description of the quality management system and procedures

Regular participation in peer review as Other National Authority within the peer review of the NSI by the European Commission.

11.1.4. Improvements in quality procedures

None to report.

11.2. Quality management - assessment

Not available.


12. Relevance Top
12.1. Relevance - User Needs

The final data is used for policy measures. Data on land and livestock are used to monitor the agricultural evaluation. General variables and variables on labour force are used for the Economic Accounts in Agriculture. Data on animal housing and manure management are essential for the calculation of emissions in agriculture. Data on land are additionally used for crop production statistics.

12.1.1. Main groups of variables collected only for national purposes

To satisfy national needs, SER surveyed questions on direct marketing. Furthermore, other gainful activities related or not to the agricultural holding are asked for all regular personnel types. Finally, questions on animal housing and manure management were collected in a more detailed manner for quality reasons and emission calculation.

12.1.2. Unmet user needs

All relevant user needs are met.

12.1.3. Plans for satisfying unmet user needs

Not applicable.

12.2. Relevance - User Satisfaction

Not applicable.

12.2.1. User satisfaction survey
No
12.2.2. Year of user satisfaction survey

Not applicable.

12.2.3. Satisfaction level
Not applicable
12.3. 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. Accuracy Top
13.1. Accuracy - overall

See categories below.

13.2. Sampling error

See sub-categories below.

13.2.1. Sampling error - indicators

Not applicable. The data collection was based entirely on census.

13.2.2. Reasons for non-compliant precision requirements in relation to Regulation (EU) 2018/1091

The data meets the precision requirements in Regulation(EU) 2018/1091.

13.2.3. Methodology used to calculate relative standard errors

Not applicable. A census is conducted.

13.2.4. Impact of sampling error on data quality
None
13.3. 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. 



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 period
Temporarily 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
None
13.3.1.1.3. Additional information over-coverage error

The population frame consists of all holdings listed in IACS. All these holdings receive an IFS questionnaire, but some of them are below all thresholds, have ceased activities, merged with another holding or temporarily stopped production. However, this information is not available before the start of the data collection.

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

No rate available. There could be some units of the population to be covered by IFS that do not apply for payments within CAP and thus are not listed in IACS. As the IACS serves as basis for the frame, these units are not covered in this case. However, the under-coverage is assumed to be minor to inexistant.

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 births
New units derived from split
Other
13.3.1.3.3. Actions to minimise the under-coverage error

None.

13.3.1.3.4. Additional information under-coverage error

There might be some new farms or new units derived from splits being listed in IACS afterwards but not when starting data collection. Data from administrative sources are then available, however data collected by questionnaires might miss. In addition, data on bovine animals are collected through the bovine animal register (SANITEL). Some units are not part of the frame as they are not listed in IACS. However, they are part of the core when they hold more than 1.7 livestock units (e.g. livestock dealers).

13.3.1.4. Misclassification error
No
13.3.1.4.1. Actions to minimise the misclassification error

Not applicable.

13.3.1.5. Contact error
No
13.3.1.5.1. Actions to minimise the contact error

Not applicable.

13.3.1.6. Impact of coverage error on data quality
Low
13.3.2. Measurement error

See sub-categories below.

13.3.2.1. List of variables mostly affected by measurement errors

There were some difficulties detected when it came to animal housing and manure management variables as no administrative sources were available. Considering animal housing, especially data collection on the housing of other bovine animals posed some problems as we tried to divide this category in several animal types to generate more precise data. Considering manure management, the storage of solid manure in heaps or compost piles turned out to be complicated because of definition issues.

13.3.2.2. Causes of measurement errors
Complexity of variables
Unclear questions
Respondents’ inability to provide accurate answers
13.3.2.3. Actions to minimise the measurement error
Pre-testing questionnaire
Explanatory 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
Moderate
13.3.2.5. Additional information measurement error

Not available.

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
Failure to identify the unit
Refusal to participate
13.3.3.1.2. Actions to minimise or address unit non-response
Reminders
Imputation
13.3.3.1.3. Unit non-response analysis

Most non-respondents are either small farms or livestock dealers. Some small farms do not apply for payments within CAP and do not answer any questionnaires. Some livestock dealers do not consider themselves as agricultural holding and thus refuse to participate.

One has to emphasise that parts of the information are drawn from administrative sources (e.g. IACS). Only information surveyed by questionnaire are not available and need to be imputed.

13.3.3.2. Item non-response - rate

Item non-response is very low to inexistant. Half of the respondents participated by online questionnaire containing only mandatory questions. On paper questionnaire, a few questions remained unanswered a little more often.

13.3.3.2.1. Variables with the highest item non-response rate

Those were mostly questions for national needs. A somewhat higher item non-response rate was observed for the number of months a farm can store its manure. This seemed difficult to answer for some units.

13.3.3.2.2. Reasons for item non-response
Refusal
Farmers do not know the answer
13.3.3.2.3. Actions to minimise or address item non-response
Follow-up interviews
Imputation
13.3.3.3. Impact of non-response error on data quality
Low
13.3.3.4. Additional information non-response error

In case some answers were missing, the unit was contacted by telephone. This reduced item non-response to an absolute minimum.

13.3.4. Processing error

See sub-categories below.

13.3.4.1. Sources of processing errors
Data entry
Imputation methods
Data processing
13.3.4.2. Imputation methods
Random hot deck imputation
Previous data for the same unit
13.3.4.3. Actions to correct or minimise processing errors

In future data collections, questionnaires will be online only. This will increase data quality as the questionnaire's structure can be improved strongly.

13.3.4.4. Tools and staff authorised to make corrections

Data processing is done by using STATA. Corrections are only done by qualified statisticians.

13.3.4.5. Impact of processing error on data quality
Low
13.3.4.6. Additional information processing error

Not available.

13.3.5. Model assumption error

Not applicable.


14. Timeliness and punctuality Top
14.1. Timeliness

See sub-categories below.

14.1.1. Time lag - first result

No publication of first results. However, a first dataset is ready for use in the end of the reference year serving as input in preliminary economical agricultural accounts (approx. 7 months after the end of the data collection period).

14.1.2. Time lag - final result

The final results were published in the end of March 2022. This results in a time lag of 15 months from the end of the reference period.

Generally, final results on land, animals and labour force are ready 10 months after the end of the data collection period for annual national data collections. However, for 2020, final results are only ready 22 months after the end of the data collection period given the many additional characteristics as well as the SO data. This is still within the limits. For future data collections in "Eurostat years", a faster data processing is however envisaged.

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


15. Coherence and comparability Top
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

None.

15.1.2.2. Reasons for deviations

Not applicable.

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
UAA excluding kitchen gardens 132188 ha 132126.5 ha 99.95% 98%
LSU 163331.2 163323.4 100% 98%
15.1.3.2. Differences between the national thresholds and the thresholds used for the data sent to Eurostat

No differences between thresholds. However, Luxembourg lowered the threshold for utilised agricultural area to 3 ha to be in line with national legislation.

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

See subcategories. No other deviations than those discussed in the subcategories.

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

LU applies the coefficients set in Regulation (EU) 2018/1091 on integrated farm statistics. However, there might be small differences in the characteristics of the animals:

  • We include other chicken and cocks in the coefficient for laying hens as we cannot clearly distinguish them. This has only minor influence as these only represent approx. 500 animals.
  • We include sows between 30 and 50kg in the category of breeding sows over 50kg, as they are considered as sows on a national level. This again has only minor influence as they only represent 100 animals.
15.1.4.1.5. Livestock included in “Other livestock n.e.c.”

In "other livestock n.e.c." we include equidae, rabbits (except breeding females) and other livestock (without detail, only very few animals).

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

No deviations from Regulation (EU) 2018/1091 on integrated farm statistics.

15.1.5.2. Reasons for deviations

Not applicable.

15.1.6. Common land
The concept of common land does not exist
15.1.6.1. Collection of common land data
Not applicable
15.1.6.2. Reasons if common land exists and data are not collected

Not applicable.

15.1.6.3. Methods to record data on common land
Not applicable
15.1.6.4. Source of collected data on common land
Not applicable
15.1.6.5. 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

No deviations.

15.1.7.2. Reasons for deviations

Not applicable.

15.1.8. Differences in methods across regions within the country

No deviations.

15.2. Comparability - over time

See sub-categories below.

15.2.1. Length of comparable time series

Time series are comparable for 67 years.

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 no changes
15.2.2.2. Description of changes

Not applicable.

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 series
15.2.3.2. Description of changes

Adaptation of the thresholds in accordance with the entrance into force of Regulation (EU) 2018/1091 on integrated farm statistics.

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 changes
15.2.4.2. 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 series
15.2.5.2. Description of changes

Equidae is not part of the LSU anymore and is listed in "other livestock". There were some adaptations of the thresholds in the regulation. There might be further minor classification differences in some crop or animal subcategories.

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 no changes
15.2.6.2. Description of changes

Not applicable.

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 changes
15.2.7.2. Description of changes

Not applicable. No common land in Luxembourg.

15.2.8. Explanations for major trends of main variables compared to the last data transmission to Eurostat

Evolution of the holdings breakdown by farm type classification:

The increase of holdings without LSU from 2016 to 2020 is mostly due to the fact the equidae is not part of the LSU anymore. The exclusion of equidae from 2020 census entailed differences also in the SO and Farm type classification.
This led to a sharp decrease of FT48. Farms with equidae are now not classified as FT48 anymore but as FT16 (if they do not hold bovine animals) or FT46 (if they do so).

Rural Development Measures

RDM data was not sent to Estat in 2016 due to national legislation issue. Therefore the sharp increase of holding benefitting of RDM measures fro  2016 to 2020 is explaned by the lack of 2016 data. 

15.2.9. Maintain of statistical identifiers over time
No
15.3. 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
No
15.3.3.2. Results of analysis at micro level

The IFS serves as basis for most other data collections in agriculture. An analysis of coherence with other data collections is impossible or very complicated.

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
Yes
15.3.4.2. Results of analysis at macro level

In the cross-domain comparison they were identified few variations in the cultivated area, between IACS and IFS. For V0000_S0000, there is a difference in the methodology as it uses harvested area.

15.4. Coherence - internal

The data are internally consistent. This is ensured by the application of a wide range of validation rules. Minor inconsistencies might be the results of different item non-response imputations.


16. Cost and Burden Top

See sub-categories below.

16.1. Coordination of data collections in agricultural statistics

The survey questionnaire was sent at the same time as the subsidy application package sent by the SER. The idea is to avoid agricultural holdings having to delve twice into their reporting systems and thus to accelerate the response. Moreover, the questionnaires are specialised such that double counting of characteristics is practically minimised.

16.2. Efficiency gains since the last data transmission to Eurostat
On-line surveys
Further automation
16.2.1. Additional information efficiency gains

In 2020, approx. half of the questionnaires were answered by an online application.

16.3. Average duration of farm interview (in minutes)

See sub-categories below.

16.3.1. Core

No separate average duration available for core or single modules. An average duration is only available for the entire questionnaire. It is around 40 minutes.

16.3.2. Module ‘Labour force and other gainful activities‘

Not available.

16.3.3. Module ‘Rural development’

Not relevant. Rural development module is collected via administrative sources.

16.3.4. Module ‘Animal housing and manure management’

Not available.


17. Data revision Top
17.1. Data revision - policy

No data revision policy.

17.2. Data revision - practice

Several data sets are produced in order to meet provisional data need (e.g. economic accounts for agriculture). Possible errors or updates are implemented little by little until one final data set is disseminated.

17.2.1. Data revision - average size

Not requested.


18. Statistical processing Top


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 frame
18.1.1.2. Name of frame

The frame is created based on the IACS register.

18.1.1.3. Update frequency
Annual
18.1.2. Core data collection on the main frame

See sub-categories below.

18.1.2.1. Coverage of agricultural holdings
Census
18.1.2.2. Sampling design

Not applicable for 2020.

18.1.2.2.1. Name of sampling design
Not applicable
18.1.2.2.2. Stratification criteria
Not applicable
18.1.2.2.3. Use of systematic sampling
Not applicable
18.1.2.2.4. Full coverage strata

Not applicable for 2020.

18.1.2.2.5. Method of determination of the overall sample size

Not applicable for 2020.

18.1.2.2.6. Method of allocation of the overall sample size
Not applicable
18.1.3. Core data collection on the frame extension

See sub-categories below.

18.1.3.1. Coverage of agricultural holdings
Not applicable
18.1.3.2. Sampling design

Not applicable.

18.1.3.2.1. Name of sampling design
Not applicable
18.1.3.2.2. Stratification criteria
Not applicable
18.1.3.2.3. Use of systematic sampling
Not applicable
18.1.3.2.4. 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 applicable
18.1.4. Module “Labour force and other gainful activities”

See sub-categories below.

18.1.4.1. Coverage of agricultural holdings
Census
18.1.4.2. Sampling design

Not applicable.

18.1.4.2.1. Name of sampling design
Not applicable
18.1.4.2.2. Stratification criteria
Not applicable
18.1.4.2.3. Use of systematic sampling
Not applicable
18.1.4.2.4. 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 applicable
18.1.4.2.7. If sampled from the core sample, the sampling and calibration strategy
Not applicable
18.1.5. Module “Rural development”

See sub-categories below.

18.1.5.1. Coverage of agricultural holdings
Census
18.1.5.2. Sampling design

Not applicable.

18.1.5.2.1. Name of sampling design
Not applicable
18.1.5.2.2. Stratification criteria
Not applicable
18.1.5.2.3. Use of systematic sampling
Not applicable
18.1.5.2.4. 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 applicable
18.1.5.2.7. If sampled from the core sample, the sampling strategy and calibration strategy
Not applicable
18.1.6. Module “Animal housing and manure management module”

See sub-categories below.

18.1.6.1. Coverage of agricultural holdings
Census
18.1.6.2. Sampling design

Not applicable.

18.1.6.2.1. Name of sampling design
Not applicable
18.1.6.2.2. Stratification criteria
Not applicable
18.1.6.2.3. Use of systematic sampling
Not applicable
18.1.6.2.4. 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
None
18.1.6.2.7. If sampled from the core sample, the sampling strategy and calibration strategy
Not applicable
18.1.12. 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_quality_administrative sources
18.1.13.3. Difficulties using additional administrative sources not currently used
None
18.1.14. Innovative approaches

The information on innovative approaches and the quality methods applied is available on Eurostat's website.

18.2. Frequency of data collection

Luxembourg conducts a yearly census including land, animal and labour force variables. Other variables are added if needed (e.g. variables on production methods for emission calculations). In every Eurostat year, Luxembourg further implements all requested modules on a census base.

18.3. Data collection

See sub-categories below.

18.3.1. Methods of data collection
Paper auto-questionnaire
Use of Internet
18.3.2. Data entry method, if paper questionnaires
Manual
18.3.3. Questionnaire

Please find the questionnaire in annex.



Annexes:
18.3.3. Questionnaire DE
18.3.3. Questionnaire EN
18.3.3. Questionnaire FR
18.4. Data validation

See sub-categories below.

18.4.1. Type of validation checks
Data format checks
Completeness checks
18.4.2. Staff involved in data validation
Supervisors
18.4.3. Tools used for data validation

Ordinary consistency checks with STATA. Use of the VIFS flow.

18.5. Data compilation

Not applicable.

18.5.1. Imputation - rate

Find here below the approx. imputation-rates for some block of questions:

  • LAFO Module and information on manager of core module: 6%
  • Bovine housing: 9%
  • Bovine grazing: 13%
  • Pig housing: 0.1%.
  • Laying hens housing: 3%
  • Manure facilities: 7%
  • Manure application techniques: 4%
18.5.2. Methods used to derive the extrapolation factor
Not applicable
18.6. Adjustment

Covered under Data compilation.

18.6.1. Seasonal adjustment

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


19. Comment Top

See sub-categories below.

19.1. List of abbreviations

CAP – Common Agricultural Policy

IACS – Integrated Administration and Control System

IFS – Integrated Farm Statistics

LSU – Livestock units

SO – Standard output

UAA – Utilised agricultural area

SER - Service d'économie rurale

NSI - National statistical institute

STATEC - Institut national de la statistique et des études économiques du Grand-Duché de Luxembourg

19.2. Additional comments

No additional comments.


Related metadata Top


Annexes Top