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For any question on data and metadata, please contact: Eurostat user support |
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1.1. Contact organisation | Statistics Portugal |
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1.2. Contact organisation unit |
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1.5. Contact mail address |
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2.1. Data description | |||
See sub-categories below. |
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2.1.1. Main characteristics of statistics | |||
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. |
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2.1.2. Reference period of data collection | |||
it was used the reference period of 2017. It was considered for the estimation, 2017 data on pesticides sales and 2019 crop areas |
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2.1.3. National legislation | |||
No | |||
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 | |||
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. |
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2.3. Coverage - sector | |||
Agriculture. Crops were selected taking into account their representiveness on UAA and their pesticide use. |
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2.3.1. Crops covered by the statistics | |||
See the attached Excel file in the Annexes. |
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2.3.2. Commercial non-agricultural uses of pesticides | |||
no data available |
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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. |
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2.5. Statistical unit | |||
Agricultural holdings for crop areas. |
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2.6. Statistical population | |||
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. |
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2.7. Reference area | |||
See sub-categories below. |
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2.7.1. Geographical area covered | |||
The entire territory of the country. |
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2.7.2. Inclusion of special territories | |||
Azores and Madeira |
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2.8. Coverage - Time | |||
2012 onwards |
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2.9. Base period | |||
Not applicable for Pesticide Use Statistics, because it is not based on an index number of time series. |
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3.1. Source data | |||
See the attached Excel file in the Annexes. |
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3.2. Frequency of data collection | |||
Irregular, at least every 5 years (2012, 2013, 2017) |
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3.3. Data collection | |||
See the attached Excel file in the Annexes. |
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3.4. Data validation | |||
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 |
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3.4.1. Data validation measures | |||
Automatic | |||
3.4.2. Target of data validation measures | |||
Completeness Aggregates Consistency |
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3.4.3. Specification target of data validation | |||
Not applicable |
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3.5. Data compilation | |||
The following sources were combined on the process of estimation of the pesticide use (2015-2019), namely:
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. Annexes: Estimation of Annual_amount_active_substance_by_crop_(2015-2019); estimation of area treated annually_by_crop_and_active_substance_(2015-2019) |
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3.6. Adjustment | |||
Not applicable |
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4.1. Quality assurance | |||
See sub-categories below. |
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4.1.1. Quality management system in organisation | |||
Yes | |||
4.1.2. Specification of implementation | |||
Please see item 4.2 and 4.2.7 |
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4.1.3. Peer review | |||
No | |||
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 | |||
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 |
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4.2.1. Overall quality | |||
Improvement | |||
4.2.2. Relevance | |||
Improvement | |||
4.2.3. Accuracy and reliability | |||
Improvement | |||
4.2.4. Timeliness and punctuality | |||
Improvement | |||
4.2.5. Comparability | |||
Improvement | |||
4.2.6. Coherence | |||
Improvement | |||
4.2.7. Additional comments quality assessment | |||
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. |
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5.1. Relevance - User Needs | |||
Agriculture Ministry, Environmental Ministry, Farm Associations. The main purposes are related to draw/redraw policies, and their needs are mostly satisfied. |
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5.1.1. Unmet user needs | |||
5.1.2. Plans for satisfying unfilled user needs | |||
5.1.3. Additional comments user needs | |||
5.2. Relevance - User Satisfaction | |||
Not available |
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5.2.1. User satisfaction survey | |||
No | |||
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. |
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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. |
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6.1. Accuracy - overall | |||
Estimations carried out on the current approach show coherence between pesticides sales and treated crops area collected from FSS 2019 |
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6.1.1. Grading of accuracy | |||
Moderate | |||
6.1.2. Factors lowering accuracy | |||
Model assumption error | |||
6.1.3. Specification of factors | |||
6.1.4. Additional comments overall accuracy | |||
6.2. Sampling error | |||
See the attached Excel file in the Annexes. |
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6.3. Non-sampling error | |||
See sub-categories below. |
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6.3.1. Coverage error | |||
See the attached Excel file in the Annexes. |
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6.3.2. Measurement error | |||
See the attached Excel file in the Annexes. |
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6.3.3. Non response error | |||
See the attached Excel file in the Annexes. |
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6.3.4. Processing error | |||
See the attached Excel file in the Annexes. |
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6.3.5. Model assumption error | |||
Not available. Error estimation was not assessed in the model to estimate the pesticide use (see item 3.5). |
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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. |
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6.5. Data revision - policy | |||
Not available |
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6.6. Data revision - practice | |||
Not applicable |
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6.6.1. Data revision - average size | |||
Not applicable |
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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 | |||
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7.1. Timeliness | |||
See sub-categories below. |
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7.1.1. Time lag - first result | |||
Not applicable |
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7.1.2. Time lag - final result | |||
Not applicable |
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7.1.3. Reasons for possible long production times? | |||
7.2. Punctuality | |||
See sub-categories below. |
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7.2.4. Punctuality - delivery and publication | |||
100 days for data; 105 days for metadata |
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7.2.1. Data release according to schedule | |||
NO | |||
7.2.2. Data release on target date | |||
NO | |||
7.2.3. Reasons for delays | |||
Agricultural Census |
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8.1. Comparability - geographical | |||
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. |
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8.1.1. Asymmetry for mirror flow statistics - coefficient | |||
Not applicable, because there are no mirror flows in Pesticide Use Statistics. |
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8.2. Comparability - over time | |||
Not applicable for Pesticide Use Statistics, because it is not based on time series. |
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8.2.1. Length of comparable time series | |||
Not applicable for Pesticide Use Statistics, because it is not based on time series. |
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8.3. Coherence - cross domain | |||
Coherence between pesticides sales, crops and IFS |
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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. |
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8.5. Coherence - National Accounts | |||
Not applicable, because it has no relevance for national accounts. |
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8.6. Coherence - internal | |||
A good internal coherence of the data was ensured due to the harmonised classification of pesticides and crops. |
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9.1. Dissemination format - News release | |||
None |
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9.1.1. Publication of news releases | |||
No | |||
9.1.2. Link to news releases | |||
9.2. Dissemination format - Publications | |||
None |
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9.2.1. Production of paper publication | |||
No | |||
9.2.2. English paper publication | |||
9.2.3. Production of electronic publication | |||
No | |||
9.2.4. English electronic publication | |||
9.2.5. Link to publications | |||
9.3. Dissemination format - online database | |||
Not available |
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9.3.1. Data tables - consultations | |||
Not available |
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9.3.2. Accessibility of on-line database | |||
No | |||
9.3.3. Link to on-line database | |||
9.4. Dissemination format - microdata access | |||
Not available |
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9.4.1. Accessibility of micro-data | |||
No | |||
9.4.2. Link to micro-data | |||
9.5. Dissemination format - other | |||
9.6. Documentation on methodology | |||
Not Available |
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9.6.1. Availability of national reference metadata | |||
No | |||
9.6.2. Link to national reference metadata | |||
9.6.3. Availability of methodological papers | |||
No | |||
9.6.4. Link to methodological papers | |||
9.6.5. Availability of handbook | |||
No | |||
9.6.6. Link to handbook | |||
9.7. Quality management - documentation | |||
Not Available |
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9.7.1. Metadata completeness - rate | |||
9.7.2. Metadata - consultations | |||
9.7.3. Availability of quality report | |||
9.7.4. Link to quality report | |||
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Not available. the process doesn't ended yet |
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10.1. Efficiency gains | |||
None | |||
10.2. Specification efficiency gains | |||
10.3. Measures to reduce burden | |||
Multiple use of the collected data | |||
10.4. Specification burden reduction | |||
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11.1. Confidentiality - policy | |||
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). |
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11.1.1. Transmission of confidential national data to Eurostat | |||
No | |||
11.1.2. Confidentiality according to Regulation | |||
11.1.3. Data confidentiality policy | |||
11.2. Confidentiality - data treatment | |||
Not applicable |
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11.2.1. Procedures for confidentiality | |||
11.2.2. Additional comments confidentiality - data treatment | |||
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Too burdensome, too detailed. |
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ESQRS_ANNEX_PESTUSE_2015-2019 |