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For any question on data and metadata, please contact: Eurostat user support |
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1.1. Contact organisation | Service d'Economie Rurale (SER) |
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1.2. Contact organisation unit | Division of agricultural statistics, agricultural markets and external relations |
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1.5. Contact mail address | BP 2102, L-1021 Luxembourg |
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2.1. Metadata last certified | 21/03/2022 | ||
2.2. Metadata last posted | 21/03/2022 | ||
2.3. Metadata last update | 21/03/2022 |
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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. |
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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. |
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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. |
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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:
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3.5. Statistical unit | |||
See sub-category below. |
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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. |
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3.6. Statistical population | |||
See sub-categories below. |
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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 |
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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. |
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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. |
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3.7. Reference area | |||
See sub-categories below. |
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3.7.1. Geographical area covered | |||
The entire territory of the country. |
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3.7.2. Inclusion of special territories | |||
Not applicable. |
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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 |
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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. |
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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). |
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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. |
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Two kinds of units are generally used:
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See sub-categories below. |
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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. |
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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. |
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5.3. Reference day for variables on livestock and animal housing | |||
The reference day of 1 April within the reference year 2020. |
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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. |
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5.5. Reference period for variables on labour force | |||
The 12-month period ending on 1 April within the reference year 2020. |
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5.6. Reference period for variables on rural development measures | |||
The three-year period ending on 31 December 2020. |
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5.7. Reference day for all other variables | |||
The reference day 1 April within the reference year 2020. |
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6.1. Institutional Mandate - legal acts and other agreements | |||
See sub-categories below. |
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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. |
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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 |
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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 |
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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. |
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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. |
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7.2. Confidentiality - data treatment | |||
See sub-categories below. |
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7.2.1. Aggregated data | |||
See sub-categories below. |
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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) |
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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. |
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7.2.2. Microdata | |||
See sub-categories below. |
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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. |
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8.1. Release calendar | |||
No release calendar available. Aggregated data are published as soon as possible. |
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8.2. Release calendar access | |||
Not applicable. |
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8.3. Release policy - user access | |||
No release policy. Aggregated data are published as soon as possible. |
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8.3.1. Use of quality rating system | |||
No | |||
8.3.1.1. Description of the quality rating system | |||
Not available. |
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Yearly dissemination of aggregated data. |
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10.1. Dissemination format - News release | |||
See sub-categories below. |
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10.1.1. Publication of news releases | |||
No | |||
10.1.2. Link to news releases | |||
Not available. |
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10.2. Dissemination format - Publications | |||
See sub-categories below. |
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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. |
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10.3. Dissemination format - online database | |||
See sub-categories below. |
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10.3.1. Data tables - consultations | |||
Not available. |
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10.3.2. Accessibility of online database | |||
Yes | |||
10.3.3. Link to online database | |||
Link to database of the NSI: |
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10.4. Dissemination format - microdata access | |||
See sub-category below. |
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10.4.1. Accessibility of microdata | |||
No | |||
10.5. Dissemination format - other | |||
Not available. |
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10.5.1. Metadata - consultations | |||
Not requested. |
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10.6. Documentation on methodology | |||
See sub-categories below. |
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10.6.1. Metadata completeness - rate | |||
Not requested. |
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10.6.2. Availability of national reference metadata | |||
No | |||
10.6.3. Title, publisher, year and link to national reference metadata | |||
Not available. |
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10.6.4. Availability of national handbook on methodology | |||
No | |||
10.6.5. Title, publisher, year and link to handbook | |||
Not available. |
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10.6.6. Availability of national methodological papers | |||
No | |||
10.6.7. Title, publisher, year and link to methodological papers | |||
Not available. |
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10.7. Quality management - documentation | |||
Not available. |
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11.1. Quality assurance | |||
See sub-categories below. |
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11.1.1. Quality management system | |||
No | |||
11.1.2. Quality assurance and assessment procedures | |||
Use of best practices Peer review |
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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. |
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11.1.4. Improvements in quality procedures | |||
None to report. |
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11.2. Quality management - assessment | |||
Not available. |
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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. |
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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. |
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12.1.2. Unmet user needs | |||
All relevant user needs are met. |
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12.1.3. Plans for satisfying unmet user needs | |||
Not applicable. |
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12.2. Relevance - User Satisfaction | |||
Not applicable. |
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12.2.1. User satisfaction survey | |||
No | |||
12.2.2. Year of user satisfaction survey | |||
Not applicable. |
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12.2.3. Satisfaction level | |||
Not applicable | |||
12.3. Completeness | |||
Information on low- and zero prevalence variables is available on Eurostat's website. |
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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. |
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13.1. Accuracy - overall | |||
See categories below. |
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13.2. Sampling error | |||
See sub-categories below. |
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13.2.1. Sampling error - indicators | |||
Not applicable. The data collection was based entirely on census. |
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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. |
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13.2.3. Methodology used to calculate relative standard errors | |||
Not applicable. A census is conducted. |
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13.2.4. Impact of sampling error on data quality | |||
None | |||
13.3. Non-sampling error | |||
See sub-categories below. |
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13.3.1. Coverage error | |||
See sub-categories below. |
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13.3.1.1. Over-coverage - rate | |||
The over-coverage rate is available in the annex. The over-coverage rate is unweighted. Annexes: 13.3.1.1. Over-coverage rate and Unit non-response rate |
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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 |
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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. |
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13.3.1.2. Common units - proportion | |||
Not requested. |
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13.3.1.3. Under-coverage error | |||
See sub-categories below. |
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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. |
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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 |
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13.3.1.3.3. Actions to minimise the under-coverage error | |||
None. |
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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). |
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13.3.1.4. Misclassification error | |||
No | |||
13.3.1.4.1. Actions to minimise the misclassification error | |||
Not applicable. |
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13.3.1.5. Contact error | |||
No | |||
13.3.1.5.1. Actions to minimise the contact error | |||
Not applicable. |
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13.3.1.6. Impact of coverage error on data quality | |||
Low | |||
13.3.2. Measurement error | |||
See sub-categories below. |
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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. |
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13.3.2.2. Causes of measurement errors | |||
Complexity of variables Unclear questions Respondents’ inability to provide accurate answers |
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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 |
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13.3.2.4. Impact of measurement error on data quality | |||
Moderate | |||
13.3.2.5. Additional information measurement error | |||
Not available. |
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13.3.3. Non response error | |||
See sub-categories below. |
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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. |
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13.3.3.1.1. Reasons for unit non-response | |||
Failure to identify the unit Refusal to participate |
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13.3.3.1.2. Actions to minimise or address unit non-response | |||
Reminders Imputation |
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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. |
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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. |
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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. |
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13.3.3.2.2. Reasons for item non-response | |||
Refusal Farmers do not know the answer |
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13.3.3.2.3. Actions to minimise or address item non-response | |||
Follow-up interviews Imputation |
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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. |
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13.3.4. Processing error | |||
See sub-categories below. |
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13.3.4.1. Sources of processing errors | |||
Data entry Imputation methods Data processing |
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13.3.4.2. Imputation methods | |||
Random hot deck imputation Previous data for the same unit |
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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. |
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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. |
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13.3.4.5. Impact of processing error on data quality | |||
Low | |||
13.3.4.6. Additional information processing error | |||
Not available. |
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13.3.5. Model assumption error | |||
Not applicable. |
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14.1. Timeliness | |||
See sub-categories below. |
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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). |
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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. |
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14.2. Punctuality | |||
See sub-categories below. |
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14.2.1. Punctuality - delivery and publication | |||
See sub-categories below. |
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14.2.1.1. Punctuality - delivery | |||
Not requested. |
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14.2.1.2. Punctuality - publication | |||
As data is not officially published, the time lag between the actual publication date and the target date for data publication is not applicable. |
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15.1. Comparability - geographical | |||||||||||||||
See sub-categories below. |
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15.1.1. Asymmetry for mirror flow statistics - coefficient | |||||||||||||||
Not applicable, because there are no mirror flows in Integrated Farm Statistics. |
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15.1.2. Definition of agricultural holding | |||||||||||||||
See sub-categories below. |
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15.1.2.1. Deviations from Regulation (EU) 2018/1091 | |||||||||||||||
None. |
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15.1.2.2. Reasons for deviations | |||||||||||||||
Not applicable. |
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15.1.3. Thresholds of agricultural holdings | |||||||||||||||
See sub-categories below. |
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15.1.3.1. Proofs that the EU coverage requirements are met | |||||||||||||||
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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. |
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15.1.3.3. Reasons for differences | |||||||||||||||
Not applicable. |
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15.1.4. Definitions and classifications of variables | |||||||||||||||
See sub-categories below. |
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15.1.4.1. Deviations from Regulation (EU) 2018/1091 and EU handbook | |||||||||||||||
See subcategories. No other deviations than those discussed in the subcategories. |
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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. Annexes: 15.1.4.1.1. AWU |
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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. |
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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. |
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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:
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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). |
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15.1.4.2. Reasons for deviations | |||||||||||||||
Not applicable. |
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15.1.5. Reference periods/days | |||||||||||||||
See sub-categories below. |
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15.1.5.1. Deviations from Regulation (EU) 2018/1091 | |||||||||||||||
No deviations from Regulation (EU) 2018/1091 on integrated farm statistics. |
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15.1.5.2. Reasons for deviations | |||||||||||||||
Not applicable. |
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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. |
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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. |
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15.1.6.6. Possible problems in relation to the collection of data on common land and proposals for future data collections | |||||||||||||||
Not applicable. |
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15.1.7. National standards and rules for certification of organic products | |||||||||||||||
See sub-categories below. |
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15.1.7.1. Deviations from Council Regulation (EC) No 834/2007 | |||||||||||||||
No deviations. |
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15.1.7.2. Reasons for deviations | |||||||||||||||
Not applicable. |
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15.1.8. Differences in methods across regions within the country | |||||||||||||||
No deviations. |
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15.2. Comparability - over time | |||||||||||||||
See sub-categories below. |
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15.2.1. Length of comparable time series | |||||||||||||||
Time series are comparable for 67 years. |
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15.2.2. Definition of agricultural holding | |||||||||||||||
See sub-categories below. |
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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. |
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15.2.3. Thresholds of agricultural holdings | |||||||||||||||
See sub-categories below. |
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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. |
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15.2.4. Geographical coverage | |||||||||||||||
See sub-categories below. |
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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. |
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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. |
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15.2.6. Reference periods/days | |||||||||||||||
See sub-categories below. |
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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. |
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15.2.7. Common land | |||||||||||||||
See sub-categories below. |
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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. |
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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. 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. |
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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. |
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15.3.2. Coherence - National Accounts | |||||||||||||||
Not applicable, because Integrated Farm Statistics have no relevance for national accounts. |
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15.3.3. Coherence at micro level with data collections in other domains in agriculture | |||||||||||||||
See sub-categories below. |
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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. |
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15.3.4. Coherence at macro level with data collections in other domains in agriculture | |||||||||||||||
See sub-categories below. |
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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. |
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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. |
|
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See sub-categories below. |
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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. |
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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. |
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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. |
|
|||
17.1. 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. |
|
|||
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:
|
|||
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. |
|
|||
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 |
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19.2. Additional comments | |||
No additional comments. |
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