Pesticide use in agriculture (aei_pestuse)

National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS)

Compiling agency: Service d'Economie Rurale

Time Dimension: 2019-50

Data Provider: LU6

Data Flow: AEI_PESTNEQ_5

Eurostat metadata
Reference metadata
1. Contact
2. Statistical presentation
3. Statistical processing
4. Quality management
5. Relevance
6. Accuracy and reliability
7. Timeliness and punctuality
8. Coherence and comparability
9. Accessibility and clarity
10. Cost and Burden
11. Confidentiality
12. Comment
Related Metadata
Annexes (including footnotes)

For any question on data and metadata, please contact: EUROPEAN STATISTICAL DATA SUPPORT


1. Contact Top
1.1. Contact organisation

Service d'Economie Rurale

1.2. Contact organisation unit

Division of agricultural statistics, agricultural markets and external relations

1.5. Contact mail address

115, rue de Hollerich L-1741 Luxembourg

2. Statistical presentation Top
2.1. Data description

See sub-categories below.

2.1.1. Main characteristics of statistics

The quantities of pesticides used by agricultural holdings are determined on the basis of the accountancy data of the farm accountancy data network (FADN) in Luxembourg.

The network for the collection of accountancy data on the income and business operation of agricultural holdings in the European Union (FADN) is set up by Council regulation (EC) 1217/2009 (modified since).

The national committee and the liaison agency in charge of FADN in Luxembourg are designated by “règlement grand-ducal du 13 novembre 2009”. These bodies are responsible for the collection of data on a national basis and the transmission of the data to the European Commission (DG Agri).

The field of observation consists of commercial farms. In Luxembourg, all farms beyond a standard output of 25.000€ (size classes 6 – 14) are considered to be commercial farms and are covered by the FADN.

All types of farming existing in Luxembourg, except horticulture, are represented in FADN.

A sample of farms (450 farms) is selected among the 775 bookkeeping farms of the accountancy office of the Service d’Economie Rurale (SER). The SER is an administration of the Ministry of Agriculture, one of the divisions of the SER being the accountancy office for FADN. As an administration, the SER is fully independent from the professional farming sector.

A plan for the selection of returning holdings (FADN-sample) is drawn up which ensures a representative accounting sample of the field of survey.

The FADN-sample is a stratified sample, the stratification criteria being the economic size of the farm and the farm type according to the Union typology of agricultural holdings (the typology).

A special weighting system is used in the calculation of FADN results. The individual weight of a holding is equal to the ratio between the number of holdings of the same classification cell in the field of observation and in the sample.

The purpose of the weighting system is to rake account of different sampling factors for different cells. In the production of FADN results, weighted averages are calculated using these weights applied to each individual farm recorded in the sample.

In 2018, the number of farms in the field of observation (SO> 25.000€) is 1.346 and the number of farms in the

FADN- sample 450. The average weight of the farms in the sample is thus 2,18. This is very good compared to other countries and illustrates the high representativeness of the FADN-sample in Luxembourg.

The accountancy data used for statistics on agricultural use of pesticides are the quantity of pesticide per pesticide product (or active substance) and per crop used, the value of the pesticides purchased (in €) (for checks) and the area cultivated per crop (information on the area treated is not available in the accounting data).

The variables obtained per holding are the quantity of pesticide product (or active substance) used per crop and the corresponding cultivated area of the crop.

The results at the level of the field of observation (commercial farms) are established using the FADN methodology (FADN-sample, weighting system).

The FADN results are extrapolated to the field of observation of the Integrated Farm Statistics (IFS) using the crop area under IFS.

2.1.2. Reference period of data collection

Data collection refers to the year 2018 only.

2.1.3. National legislation
No Name of national legislation Link to national legislation Responsible organisation for national legislation Year of entry into force of national legislation Coverage of variables required under EU regulation Divergence national definitions from EU regulation Legal obligation for respondents
2.1.4. Additional comments data description
2.2. Classification system

The classification used for pesticides corresponds to Annex III of Regulation (EC) No 1185/2009 ( of the European Parliament and of the Council.
The classification system for crops derives from the Annual crop statistics Handbook 2019 (

2.3. Coverage - sector

The covered economic sector is the agriculture only. The selected crops are the most commun crops in Luxembourg. Other crops may have only been cultivated by a small number of farmers. Due to confidentiality issues the selection of crops is limited.

2.3.1. Crops covered by the statistics

See the attached Excel file in the Annexes.

2.3.2. Commercial non-agricultural uses of pesticides

Not applicable

2.4. Statistical concepts and definitions

The data reported are the quantity of each active substances listed in Annex III of Regulation 1185/2009 contained in plant protection products used on a selected crop, expressed in kg. The area treated with each substance are expressed in hectares. There is no double-counting for aggregated pesticide classes/categories/groups.

2.5. Statistical unit

The basic unit of statistical observation are agricultural holdings.

2.6. Statistical population

See 2.1 data description

2.7. Reference area

See sub-categories below.

2.7.1. Geographical area covered

Utilised agricultural area of the holdings under IFS.

2.7.2. Inclusion of special territories

Not applicable.

2.8. Coverage - Time

2011 onwards.

2.9. Base period

Not applicable for Pesticide Use Statistics, because it is not based on an index number of time series.

3. Statistical processing Top
3.1. Source data

See the attached Excel file in the Annexes.

3.2. Frequency of data collection

Annually on a national level, but only one year out of the five-year reference period (2018) is provided to Eurostat.

3.3. Data collection

See the attached Excel file in the Annexes.

3.4. Data validation

See 2.1.1 Main characteristics of statistics

3.4.1. Data validation measures
3.4.2. Target of data validation measures
3.4.3. Specification target of data validation
3.5. Data compilation

See 2.1.1 Main characteristics of statistics

3.6. Adjustment

See 2.1.1 Main characteristics of statistics

4. Quality management Top
4.1. Quality assurance

See sub-categories below.

4.1.1. Quality management system in organisation
4.1.2. Specification of implementation
4.1.3. Peer review
4.1.4. Main conclusions peer review
4.1.5. Future quality improvements
4.1.6. Specification of quality improvements
4.1.7. Additional comments quality assurance
4.2. Quality management - assessment

The accountancy data used are of high quality. Special care is applied during book keeping (name of the product, quantity, price,….).

Special checks (name of the product, price of the product per weight unit versus average price per weight unit) are used to eliminate or correct errors.

The high sampling rate of FADN Luxembourg (the average weight of the farms in the FADN sample is stable and situated around 3,5 during the last 5 years) is an indication of the good quality of the final data.

The main deficiency lies in the fact that accounting data are originally not collected for the purpose of pesticides use statistics. The only area data available are the data on the area cultivated, but not on the area treated with pesticides

4.2.1. Overall quality
4.2.2. Relevance
4.2.3. Accuracy and reliability
4.2.4. Timeliness and punctuality
4.2.5. Comparability
4.2.6. Coherence
4.2.7. Additional comments quality assessment

5. Relevance Top
5.1. Relevance - User Needs

The data are highly relevant. There is a high demand for quality data on agricultural use of pesticides. However due to high variability between years due to variation in meteorological conditions, one has to be cautious in using the results as long as data are only available for a very limited time period, as is the case actually in Luxembourg. The data are used to develop an indicator on the frequency of pesticide treatment in Luxembourg. This indicator is part of the follow-up indicators to be developed in the framework of the national action plan on pesticides.

5.1.1. Unmet user needs

Not applicable

5.1.2. Plans for satisfying unfilled user needs

Not applicable.

5.1.3. Additional comments user needs

Not applicable.

5.2. Relevance - User Satisfaction

Not applicable.

5.2.1. User satisfaction survey
5.2.2. Year of user satisfaction survey
5.2.3. Satisfaction level
5.2.4. Additional comments user satisfaction
5.3. Completeness

See sub-category below.

5.3.1. Data completeness - rate

Not applicable for Pesticide Use Statistics because in this data collection, there is no target on the number of data. Member States are asked to collect data on representative crops without stipulating the number of crops.

6. Accuracy and reliability Top
6.1. Accuracy - overall

Not calculated.

6.1.1. Grading of accuracy
6.1.2. Factors lowering accuracy
Sampling error
Coverage error
6.1.3. Specification of factors

See 2.1.1 Main characteristics of statistics

6.1.4. Additional comments overall accuracy
6.2. Sampling error

See the attached Excel file in the Annexes.

6.3. Non-sampling error

See sub-categories below.

6.3.1. Coverage error

See the attached Excel file in the Annexes.

6.3.2. Measurement error

See the attached Excel file in the Annexes.

6.3.3. Non response error

See the attached Excel file in the Annexes.

6.3.4. Processing error

See the attached Excel file in the Annexes.

6.3.5. Model assumption error

See the attached Excel file in the Annexes.

6.4. Seasonal adjustment

Seasonal adjustment is not applicable to pesticide use statistics since all plant protection treatments associated directly or indirectly with the crop during the reference period are reported.

6.5. Data revision - policy

Not applicable.

6.6. Data revision - practice

Not applicable.

6.6.1. Data revision - average size

No data revision.

6.6.2. Data revisions - conceptual changes
6.6.3. Reason for revisions
6.6.4. Impact of revisions
6.6.5. Additional comments data revisions

7. Timeliness and punctuality Top
7.1. Timeliness

See sub-categories below.

7.1.1. Time lag - first result

Data on pesticide use are normally available 18 months after the end of the accountancy period.

7.1.2. Time lag - final result

Data on pesticide use are normally available 18 months after the end of the accountancy period.

7.1.3. Reasons for possible long production times?
7.2. Punctuality

See sub-categories below.

7.2.1. Punctuality - delivery and publication

Data were delivered to EUROSTAT before the end of the delivery period.

7.2.2. Data release according to schedule
7.2.3. Data release on target date
7.2.4. Reasons for delays

8. Coherence and comparability Top
8.1. Comparability - geographical

No comparison of data between geographical areas needed.

8.1.1. Asymmetry for mirror flow statistics - coefficient

Not applicable, because there are no mirror flows in Pesticide Use Statistics.

8.2. Comparability - over time

Not applicable for Pesticide Use Statistics, because it is not based on time series.

8.2.1. Length of comparable time series

Not applicable for Pesticide Use Statistics, because it is not based on time series.

8.3. Coherence - cross domain

Data can be combined to FADN data (data on economic situation of agricultural holginds) and to IFS data.

A detailled comparaison with pesticides placed on the market is not feasible at this point in time. However, a rough comparaison has shown that the data are quite comparable.

8.4. Coherence - sub annual and annual statistics

Not applicable for Pesticide Use Statistics, because the data collection is based on a five-year period.

8.5. Coherence - National Accounts

Not applicable, because it has no relevance for national accounts.

8.6. Coherence - internal

A good internal coherence of the data was ensured due to the harmonised classification of pesticides and crops.

9. Accessibility and clarity Top
9.1. Dissemination format - News release

Not applicable.

9.1.1. Publication of news releases
9.1.2. Link to news releases
9.2. Dissemination format - Publications

No publication released.

9.2.1. Production of paper publication
9.2.2. English paper publication
9.2.3. Production of electronic publication
9.2.4. English electronic publication
9.2.5. Link to publications
9.3. Dissemination format - online database

No online database.

9.3.1. Data tables - consultations

Not available

9.3.2. Accessibility of on-line database
9.3.3. Link to on-line database
9.4. Dissemination format - microdata access

No access to microdata.

9.4.1. Accessibility of micro-data
9.4.2. Link to micro-data
9.5. Dissemination format - other

Data tables available:

9.6. Documentation on methodology

FADN-methodology: cf documentation by DG Agri; documentation on collection and treatment of data on pesticide use: SER-internal documents

9.6.1. Availability of national reference metadata
9.6.2. Link to national reference metadata
9.6.3. Availability of methodological papers
9.6.4. Link to methodological papers
9.6.5. Availability of handbook
9.6.6. Link to handbook
9.7. Quality management - documentation

See documentation on FADN by DG Agri and SER

9.7.1. Metadata completeness - rate

Metadata are complete

9.7.2. Metadata - consultations

Consultation on demand

9.7.3. Availability of quality report
9.7.4. Link to quality report

10. Cost and Burden Top

No calculation of costs associated with the collection and production of pesticide use statistics since only administrative data has been used.

Burden for respondents: no supplementary burden on respondents (data are already collected in the framework of FADN

10.1. Efficiency gains
10.2. Specification efficiency gains
10.3. Measures to reduce burden
10.4. Specification burden reduction

11. Confidentiality Top
11.1. Confidentiality - policy

High importance is given to confidentiality issues due to the legal obligations and due to the high sensibility of the respondents and administrations regarding confidentiality, especially the data on the use of pesticides in agriculture.

11.1.1. Transmission of confidential national data to Eurostat
11.1.2. Confidentiality according to Regulation
11.1.3. Data confidentiality policy

Confidentiality of data has to be respected according to regulation (EC) 1217/2009 (FADN).

The European provisions on confidentiality of data used for statistical purposes: Regulation (EC) 223/2009 of the European Parliament and of the Council on European statistics …..

The national provisions on confidentiality of data used for statistical purposes: « Loi du 11 juillet portant organisation de l’Institut national de statistique et des études économiques …… »

11.2. Confidentiality - data treatment

General rules applicable at the level of public administrations

Special rules applicable at the level of Service d’Economie Rurale – division de la comptabilité agricole

11.2.1. Procedures for confidentiality
11.2.2. Additional comments confidentiality - data treatment

12. Comment Top

Related metadata Top

Annexes Top
Annexe PESTUSE 2015-2019