Pesticide use in agriculture (aei_pestuse)

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

Compiling agency: Statistics Sweden


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)
 



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1. Contact Top
1.1. Contact organisation

Statistics Sweden

1.2. Contact organisation unit

Agriculture and Energy

1.5. Contact mail address

Statistics Sweden, Agriculture and Energy, Regions and Environment Department, SE-701 89 ÖREBRO, SWEDEN


2. Statistical presentation Top
2.1. Data description

See sub-categories below.

2.1.1. Main characteristics of statistics

The use of different kinds of pesticides in agricultural crops and four horticultural crops were surveyed in 2017.
The survey has been conducted yearly from 1988 until 1992. It has then been repeated in 1994, 1996, 1998, 2006 and 2010. The horticultural crops; carrots, onions, strawberries and apples, have been included in the years 2006, 2010 and 2017.

2.1.2. Reference period of data collection

Reference year for Sweden is 2017. Reference period 2015-2019.

2.1.3. National legislation
Yes
2.1.3.1. National legislation - Name

The Official Statistics Law (2001:99) and the Official Statistics Ordinance (2001:100). There is no specific law or ordinance for Pesticide use in Agriculture.

2.1.3.2. National legislation - Link

The Official Statistics Law (2001:99): http://www.riksdagen.se/sv/dokument-lagar/dokument/svensk-forfattningssamling/lag-200199-om-den-officiella-statistiken_sfs-2001-99.
The Official Statistics Ordinance (2001:100): http://www.riksdagen.se/sv/dokument-lagar/dokument/svensk-forfattningssamling/forordning-2001100-om-den-officiella_sfs-2001-100.

2.1.3.3. National legislation - Responsible organisation

The Riksdag is responsible for the Official Statistical Law. The Swedish Government is responsible for the Official Statistcs Ordinance.

2.1.3.4. National legislation - Year of entry into force

Both the Law and the Ordinance entried into force in april 2001.

2.1.3.5. National legislation - Coverage of variables required under EU legislation

National legislation allows all required variables to be covered.

2.1.3.6. Divergence national definitions from EU regulation

There is no divergance.

2.1.3.7. National legislation - Legal obligation for respondents to reply (Yes/No)
No
2.1.4. Additional comments data description

Not applicable.

2.2. Classification system

The classification used for pesticides corresponds to Annex III of Regulation (EC) No 1185/2009 (http://data.europa.eu/eli/reg/2009/1185/2017-03-09) of the European Parliament and of the Council.
The classification system for crops derives from the Annual crop statistics Handbook 2019 (https://ec.europa.eu/eurostat/cache/metadata/Annexes/apro_cp_esms_an1.pdf).

2.3. Coverage - sector

Active substances in plant protection products used on crops that were harvested 2017.
Pesticides used on seeds are not taken into account. The justification is based on the difficulties for the agricutural holdings to report what plant protection product the seeds have been treated with.

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 available.

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.

2.5. Statistical unit

Agricultural holding.

2.6. Statistical population

Agricultural holdings in Sweden in 2017 under conventional farming.

2.7. Reference area

See sub-categories below.

2.7.1. Geographical area covered

The entire territory of the country.

2.7.2. Inclusion of special territories

Not applicable.

2.8. Coverage - Time

The survey has been conducted in 1988, 1989, 1990, 1991, 1992, 1994, 1996, 1998, 2006, 2010 and 2017.
The horticultural crops; carrots, onions, strawberries and apples, have been included in the years 2006, 2010 and 2017.

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

The survey has been conducted in 1988, 1989, 1990, 1991, 1992, 1994, 1996, 1998, 2006, 2010 and 2017.

The horticultural crops; carrots, onions, strawberries and apples, have been included in the years 2006, 2010 and 2017.

3.3. Data collection

See the attached Excel file in the Annexes.

3.4. Data validation

Yes

3.4.1. Data validation measures
Manual
Automatic
3.4.2. Target of data validation measures
Completeness
Outliers
Aggregates
Consistency
Other
3.4.3. Specification target of data validation

Functionalities in the new web system have automatic questionnaire validation (both for respondents and editing staff). Other tools are trace logs, tabulated reports, scatter plots, checking with previous results and other datasets etc.

3.5. Data compilation

Quantites of active substances are calculated from their share in plant protection products used.

3.6. Adjustment

Not applicable.


4. Quality management Top
4.1. Quality assurance

See sub-categories below.

4.1.1. Quality management system in organisation
Yes
4.1.2. Specification of implementation

https://www.scb.se/en/About-us/main-activity/quality-work/

4.1.3. Peer review
No
4.1.4. Main conclusions peer review

Not available.

4.1.5. Future quality improvements
Other
4.1.6. Specification of quality improvements

Improvement in coverage. In the upcoming 2021 survey. Indoor tomatoes will be included in the survey for the first time.

4.1.7. Additional comments quality assurance

New steps can be taken in the light of changes in EU legislation or new demands from national users of the statistics.

4.2. Quality management - assessment

Data are derived from a sample survey of 4000 agricultural holdings. An underestimation comes at least from:
1) pesticide use on agricultural holdings before seeding cannot be allokated to the following crop that benefit from the spraying, (i.e. weed spraying on stubble after harvest and for termination of old leys).
2) due to unavailability of the information on the pesticides used for seed treatment, that part of the consumption is not considered.

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

No additional comments.


5. Relevance Top
5.1. Relevance - User Needs

The statistics over pesticide use is used by authorities and organisations whitin the area of agriculture and environment and for international reporting.
The main user needs are quantities of pesticide use (amount and area) and changes in the use of herbicides, fungicides, insecticides and growth regulators over time.

5.1.1. Unmet user needs

For example, more detailed statistics on the use of glyphosate, by time of use. Statistics on use of pesticides in indoor tomatoes.

5.1.2. Plans for satisfying unfilled user needs

Indoor tomatoes will be included in the next survey 2021 and the questions on glyphosate will be changed to meet the new user needs in next survey.

5.1.3. Additional comments user needs

Not applicable.

5.2. Relevance - User Satisfaction

Satisfied

5.2.1. User satisfaction survey
No
5.2.2. Year of user satisfaction survey

Not available.

5.2.3. Satisfaction level
Satisfied
5.2.4. Additional comments user satisfaction

Workshops and meetings with the users of the statistics during 2020 to meet demands of the national users of the statistics.

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

The published report for agricultural and horticultural crops contain estimate of RSE for area treated and weight applied:

6.1.1. Grading of accuracy
High
6.1.2. Factors lowering accuracy
Sampling error
Measurement error
Non-response error
Processing error
Model assumption error
6.1.3. Specification of factors

Sample error and Nonresponse.

6.1.4. Additional comments overall accuracy

No additional comments.

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

All area under organic farming are considered untreated with pesticides. The estimations for the target population in each crop area made with the assumption that the use pf pesticides follow the same patterns for the smallest farms as those included in the survey.
The estimations for the target population for temporary grasses are made with the assumption that the use pf pesticides follow the same patterns for holding growing nothing more than temporary grasses as those growing temporary grasses included in the survey.
The reliability is estimated not to be affected to a siginificant degree by the uncertainity caused by the the model assumptions.

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

“Guidelines and routines for revision of statistical values” (Statistics Sweden, October 2015), and “Guidelines and routines for electronic publishing” (Statistics Sweden, March 2008).

6.6. Data revision - practice

There are guidelines prepared for the statistical agencies.

6.6.1. Data revision - average size

Not available.

6.6.2. Data revisions - conceptual changes
Yes
6.6.3. Reason for revisions

 The report on the use of pesticide in crops in the reference year 2006 was revised, because of changes in the methodology for calculation of active substances. http://share.scb.se/ov9993/data/publikationer/statistik/mi/mi0502/2006a01/mi0502_2006a01_sm_mi31sm0701.pdf

6.6.4. Impact of revisions
Very important
6.6.5. Additional comments data revisions

The pesticide use statistics became more comparable with results with data from other MS and with sales statistics.


7. Timeliness and punctuality Top
7.1. Timeliness

See sub-categories below.

7.1.1. Time lag - first result

11 months

7.1.2. Time lag - final result

11 months

7.1.3. Reasons for possible long production times?

It takes a long time to finalize this statistics, normally 10 - 12 months.

7.2. Punctuality

See sub-categories below.

7.2.4. Punctuality - delivery and publication

Data sent in time, metadata 55 days belated.

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

Delay only for metadata due to high workload.


8. Coherence and comparability Top
8.1. Comparability - geographical

Data are collected and the samples are based on the regional crop areas. There is good comparibility between regions. The results are given for country level (NUTS 0)and County level (NUTS 3) and also by size of the farm (in hectare). The geographical comparability between countries is evaluated by Eurostat.”

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 only be indirectly compared to the amount of active substances sold.
1) Pesticides sale is calculated on the base of calendar year, while consumption is calculated on the base of crop year.
2) The pesticides sale statistics sent to Eurostat is the total sales including sales to other categories of user than agricultural holdings.
3) For herbicides only a small part of the use of the glyphosate can be allokated to a specific crop code.
4) For insecticides, reported use of paraffin oil (in Annex III under I99) was excluded from the survey as an outlier.

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

There is very high degree of internal comparability.


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

Not available.

9.1.1. Publication of news releases
No
9.1.2. Link to news releases

Not available.

9.2. Dissemination format - Publications

Växtskyddsmedel i jord- och trädgårdsbruket 2017. Användning i grödor. Pesticides in agriculture and hrticulture. Use on crops. MI 31 SM 1802. Statistic Sweden.

9.2.1. Production of paper publication
No
9.2.2. English paper publication
No
9.2.3. Production of electronic publication
Yes
9.2.4. English electronic publication
No
9.2.5. Link to publications

English summary in publication. https://www.scb.se/publikation/35835

9.3. Dissemination format - online database

No national database available.

9.3.1. Data tables - consultations

Not available.

9.3.2. Accessibility of on-line database
No
9.3.3. Link to on-line database

Not available.

9.4. Dissemination format - microdata access

Not available.

9.4.1. Accessibility of micro-data
No
9.4.2. Link to micro-data

https://www.scb.se/vara-tjanster/bestalla-mikrodata/

9.5. Dissemination format - other
9.6. Documentation on methodology

Yes

9.6.1. Availability of national reference metadata
Yes
9.6.2. Link to national reference metadata

https://www.scb.se/contentassets/d3d0885942d94253842d92d56234b514/mi0502_staf_2017_ar_181128.pdf

9.6.3. Availability of methodological papers
Yes
9.6.4. Link to methodological papers

Andrist Rangel Y, Eiserman D, Otterskog L, Redner A (2019) New tools for data collection in Swedish surveys on use of fertilisers and animal manure and cultivation measures in agriculture.
In: Department of Statistics Malaysia (DOSM). Proceeding of the 62:nd ISI World Statistics Congress, Kuala Lumpur 18-23 Aug 2019: Special Topic Session: Volume 1, 461 pages, (page 162-172).

9.6.5. Availability of handbook
Yes
9.6.6. Link to handbook

Instruction for interviewers.

9.7. Quality management - documentation

Yes

9.7.1. Metadata completeness - rate

Not available.

9.7.2. Metadata - consultations

Not available.

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

https://www.scb.se/contentassets/d3d0885942d94253842d92d56234b514/mi0502_kd_2017_ar_181128.pdf


10. Cost and Burden Top

Not available.

10.1. Efficiency gains
On-line surveys
Further automation
10.2. Specification efficiency gains

Coordinated data collection togehter whit other agricultural surveys such as crop production and use of feriliser leads to:
1) More effective data collection,
2) Lower costs in the long term,
3) Decreased response burden for the farmers,
4) Easy to add on other surveys to the modernized web system,
5) Has opened up the possibility for data import also for variables, such as use of fertilisers, use of plant protection and in future crop yields.

10.3. Measures to reduce burden
More user-friendly questionnaires
Easier data transmission
Multiple use of the collected data
10.4. Specification burden reduction

1) Coordinated data collection togehter whit other agricultural surveys such as crop production and use of fertiliser, reduces number of contacts with the farmer and that the farmer have the same interviewer in more than this survey.
2) Development of a new web tool for data collection of data. Variables can be imported from farm management software via a machine to machine solution.


11. Confidentiality Top
11.1. Confidentiality - policy

Yes

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

https://www.scb.se/contentassets/0cd92207266d40eb8829244d51d90b94/handbok-i-statistisk-rojandekontroll.pdf

11.2. Confidentiality - data treatment

Yes

11.2.1. Procedures for confidentiality

Primary data protection is done on the basis of number of reporting units and of dominance of some reporting units. Secondary data protection is done for some active substances.

11.2.2. Additional comments confidentiality - data treatment

No additional comments.


12. Comment Top

Since 1994, the government has appointed the Swedish Chemicals Agency (KemI) to be responsible for official statistics within this area. Statistics Sweden is the producer of the Statistics.


Related metadata Top


Annexes Top
ANNEX_PESTUSE_SE_2015-2019