Pesticide use in agriculture (aei

Pesticide use in agriculture (aei_pestuse)

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

Compiling agency: Hungarian Central Statistical Office

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

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1.1. Contact organisation

Hungarian Central Statistical Office

1.2. Contact organisation unit

Sectoral Statistics Department

1.5. Contact mail address

H-1024 Budapest Keleti K. u. 5-7.

2. Statistical presentation

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2.1. Data description

Data on pesticide use in Hungary were collected jointly by HCSO and National Food Chain Safety Office (Nébih). Crops listed in the Hungarian National Action Plan were surveyed. These were the followings: winter wheat, corn, sunflower, rape, apple, grape.

2.1.1. Main characteristics of statistics

Data on pesticide use in Hungary were collected jointly by HCSO and National Food Chain Safety Office. Crops listed in the Hungarian National Action Plan were surveyed. These were the followings: winter wheat, corn, sunflower, rape, apple, grape.

2.1.2. Reference period of data collection

2019

2.1.3. National legislation

2.1.3.1. National legislation - Name

2.1.3.2. National legislation - Link

2.1.3.3. National legislation - Responsible organisation

2.1.3.4. National legislation - Year of entry into force

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

2.1.3.6. Divergence national definitions from EU regulation

2.1.3.7. National legislation - Legal obligation for respondents to reply (Yes/No)

2.1.4. Additional comments data description

No additional comment

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

The observed crops are listed in the Hungarian National Action Plan. This six crops cover the 70% of the arable land and 57% of the agricultural land.

2.3.1. Crops covered by the statistics

C1111 - Common winter wheat and spelt; C1500 - Grain maize and corn-cob-mix; F1110 - Apples; I1110 - Rape and turnip rape seeds; I1120 - Sunflower seed; W1000 - Grapes

2.3.2. Commercial non-agricultural uses of pesticides

Not relevant

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

Statistical unit: Agricultural units who use pesticides in the observed categories of crops.

2.6. Statistical population

Statistical population are the user of pesticid products.

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

No special territories

2.8. Coverage - Time

2014 and 2019

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

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Average quantity of pesticides per hectare were checked among data providers. Based on used quantity of pesticides quantity of active substances were calculated in case of each observed crop. Treated area when the same active substances were applied on the same parcel for more than once. Country level data on used quantity are compared to marketed quantity of the previous years.

3.1. Source data

See Excel annex below for further information

3.2. Frequency of data collection

Based on the relevant legal act, the selected crops are observed every five years.

3.3. Data collection

See Excel annex below for further information

3.4. Data validation

Country level data on used quantity are compared to marketed quantity of the previous years.

3.4.1. Data validation measures

Manual

3.4.2. Target of data validation measures

Completeness
Outliers

3.4.3. Specification target of data validation

3.5. Data compilation

Data on pesticide use in Hungary were collected jointly by HCSO and National Food Chain Safety Office.

3.6. Adjustment

Not relevant

4. Quality management

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4.1. Quality assurance

Not available.

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

Improve data validation

4.1.6. Specification of quality improvements

4.1.7. Additional comments quality assurance

4.2. Quality management - assessment

Data collection was obligatory and full-scale among agricultural enterprises and sample survey among private farms. Individual data were checked by experts of HCSO.

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

Improvement

4.2.6. Coherence

Stable

4.2.7. Additional comments quality assessment

No additional comment

5. Relevance

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Statistics satisfies user needs.

5.1. Relevance - User Needs

Statistics satisfies user needs.

5.1.1. Unmet user needs

Not relevant

5.1.2. Plans for satisfying unfilled user needs

Not relevant

5.1.3. Additional comments user needs

5.2. Relevance - User Satisfaction

Statistics satisfies user needs.

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

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Full-scale among agricultural enterprises and sample survey among private farms.

6.1. Accuracy - overall

Full-scale among agricultural enterprises.
Sample of private farms were designed using Dalenius-Hodges stratification procedure (Cumulative √f) based on agricultural area, assuming a “good” correlation between area and pesticides usage.
Strata were the following:
Arable land
(4 – actually 5 – stratum)
0th: 0 hectare
1st: 0,01 – 2,99 hectares
2nd: 3,0 – 9,99 hectares
3rd: 10,0 – 59,99 hectares
4th: above 60 hectares

Apple
(3 – actually 4 – stratum)
0th: 0 hectare
1st: 0,01 – 0,99 hectares
2nd: 1,0 – 9,99 hectares
3rd: above 10 hectares

Grape
(3 – actually 4 – stratum)
0th: 0 hectare
1st: 0,01 – 0,99 hectares
2nd: 1,0 – 9,99 hectares
3rd: above 10 hectares

Sample size calculation were based on Neyman-allocation. Simple Random Sample were selected in each stratum, separately for the 3 categories (arable land, grape, apple). Finally we used one merged sample
Sample selection were based on 2018 IACS Database of Hungarian State Treasury. Therefore representative for the subsidised area

6.1.1. Grading of accuracy

Very high

6.1.2. Factors lowering accuracy

Sampling error

6.1.3. Specification of factors

6.1.4. Additional comments overall accuracy

6.2. Sampling error