Statistics Portugal

See sub-categories below.

The data set refers to the use of pesticides. to fulfill this requirement data on crops and active substances are needed. 

The main data and indicators are crops area treated with PPP's and amount of PPP's used expressed in active substance.

it was used the reference period of 2017. It was considered for the estimation, 2017 data on pesticides sales and 2019 crop areas 

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).

Agriculture. Crops were selected taking into account their representiveness on UAA and their pesticide use.

See the attached Excel file in the Annexes.

no data available

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.

Agricultural holdings for crop areas.

the approach based on an estimation taking into account the methodology designes for the fist wave. in that sense the answer to this question is considered N.A for tha current approach. our estimatimation was based on a model.

See sub-categories below.

The entire territory of the country.

Azores and Madeira

2012 onwards

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

See the attached Excel file in the Annexes.

Irregular, at least every 5 years (2012, 2013, 2017)

See the attached Excel file in the Annexes.

Please see Annex "Estimation of Annual_amount_active_substance_by_crop_(2015-2019); estimation of area treated annually_by_crop_and_active_substance_(2015-2019)" - item 3.5

Not applicable

The following sources were combined on the process of estimation of the pesticide use (2015-2019), namely:

• Pesticide use (2010-2014);
• Pesticide sales - average amount sales in the period 2012-2013, for each active substance;
• Pesticide sales - average amount sales in the period 2015-2019, for each active substance;
• Vegetable survey (reference year 2012);
• Farm Structure Survey (reference year 2013);
• Orchard and olive groves survey (reference year 2012);
• Vegetable survey (reference year 2018);
• Farm Structure Survey (reference year 2019).

Please see annex "Estimation of Annual_amount_active_substance_by_crop_(2015-2019); estimation of area treated annually_by_crop_and_active_substance_(2015-2019)" for an overall view of the combined steps to estimate the pesticide use.

Not applicable

See sub-categories below.

Please see item 4.2 and 4.2.7

Statistics Portugal has a quality management system in place following, whenever convenient, the principles of the ISO 9001:2015 Standard, and having adopted a systematic and process-oriented approach in accordance with the Plan-Do-Check-Act cycle. This system comprises a wide range of instruments, methods, and activities covering process documentation, performance assessment, and user relations.

SP is part of the European Statistical System (ESS) and has adopted the European Statistics Code of Practice, since its first edition (2005), as firm guidance for the success of its mission. Since its last revision (November 2017), the Code comprises the Quality Declaration of the European Statistical System, 16 Principles and 84 indicators of best practices and standards for each of the Principles, defining the European benchmarks for the statistical activity, covering the institutional environment, statistical processes, and statistical outputs.

For further details on quality assurance at Statistics Portugal, please see the following link:

https://www.ine.pt/xportal/xmain?xpid=INE&xpgid=ine_qualidade&xlang=en

Here are some examples of recent or ongoing quality assurance activities:

-       Information Security Management System: the information managed by Statistics Portugal, including the procedures that support it, as well as the systems, applications and networks are valuable assets of society. By guaranteeing the confidentiality, integrity and/or availability of the information, Statistics Portugal ensures the credibility of the services it provides. Therefore, Statistics Portugal has assumed the objective of systematizing its Information Security Management System (ISMS) in alignment with the best international practices, namely ISO / IEC 27001: 2013 Standard. The ISMS is comprised of a set of policies and procedures that are available to Statistics Portugal staff and users.

-       Statistical Production Process Handbook: The Statistical Production Process Handbook (3rd edition – V.2.0 – updated in 2020) describes the statistical production process systematically, following the principles and organization of version 5.1 of the Generic Statistical Business Process Model (GSBPM) (2019, UNECE), at the phase and sub-process levels. It also includes a higher level of detail through the identification of the main tasks and responsibilities associated with each of the sub-processes.

-       Records Management System: Statistics Portugal is working on the development and implementation of a records management and process reengineering IT solution, which will render management and statistical production processes more efficient.

-       ISO 9001:2015 Standard certification: Statistics Portugal is currently organizing information and studying the possibility of certifying Statistics Portugal Quality Management System in alignment with the ISO 9001:2015 Standard.

Agriculture Ministry, Environmental Ministry, Farm Associations. The main purposes are related to draw/redraw policies, and their needs are mostly satisfied.

Not available

See sub-category below.

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.

Estimations carried out on the current approach show coherence between pesticides sales and treated crops area collected from FSS 2019

See the attached Excel file in the Annexes.

See sub-categories below.

See the attached Excel file in the Annexes.

See the attached Excel file in the Annexes.

See the attached Excel file in the Annexes.

See the attached Excel file in the Annexes.

Not available. Error estimation was not assessed in the model to estimate the pesticide use (see item 3.5).

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.

Not available

Not applicable

Not applicable

See sub-categories below.

Not applicable

Not applicable

See sub-categories below.

100 days for data; 105 days for metadata

Agricultural Census

Data are collected on a country level (NUTS 0). Therefore, the data are not comparable on a regional level. The geographical comparability between countries is evaluated by Eurostat.

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

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

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

Coherence between pesticides sales, crops and IFS

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

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

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

None

None

Not available

Not available

Not available

Not Available

Not Available

Not available. the process doesn't ended yet

The national legislation provides for the confidentiality of data collected both as regards data on enterprises and on individuals. The principle of statistical confidentiality is thus applied, i.e. individual statistical data cannot be disclosed (Article 6 of Law No 22/2008 of 13 of May). The violation of statistical confidentiality considered as a breach of the obligation of professional secrecy is punishable (Article 32 of Law No 22/2008 of 13 of May).
All those involved in the IFS/FSS were bound by contracts or protocols listing their responsibilities with regard to the IFS/FSS. These responsibilities were notably technical, or within the scope of statistical confidentiality and professional secrecy, in accordance with the law (Articles 6 and 32 of Law No 22/2008 of 13 of May).

Not applicable

Too burdensome, too detailed.