Title of statistical activity: Use of pesticides (until 2016)
Code of statistical activity: 10502
- Metadata update
- Statistical presentation
- Unit of measure
- Reference period
- Institutional mandate
- Release policy
- Frequency of dissemination
- Accessibility and clarity
- Quality management
- Accuracy and reliability
- Timeliness and punctuality
- Coherence and comparability
- Cost and burden
- Data revision
- Statistical processing
1.1. Contact organisation The name of the organisation of the contact points for the data or metadata.
1.2. Contact organisation unit An addressable subdivision of an organisation.
Economic and Environmental Statistics Department
1.3. Contact name The name of the contact points for the data or metadata.
1.4. Contact person function The area of technical responsibility of the contact, such as "methodology", "database management" or "dissemination".
1.5. Contact mail address The postal address of the contact points for the data or metadata.
51 Tatari Str, 10134 Tallinn, Estonia
1.6. Contact email address E-mail address of the contact points for the data or metadata.
1.7. Contact phone number The telephone number of the contact points for the data or metadata.
+372 625 9267
2.1. Metadata last certified Date of the latest certification provided by the domain manager to confirm that the metadata posted are still up-to-date, even if the content has not been amended.
2.2. Metadata last update Date of last update of the content of the metadata.
3. Statistical presentation
3.1. Data description Main characteristics of the data set described in an easily understandable manner, referring to the data and indicators disseminated.
Quantity of pesticides used and treated area in agricultural holdings
3.2. Classification system Arrangement or division of objects into groups based on characteristics which the objects have in common.
Estonian Classifcation of Economic Activities (EMTAK 2008) based on NACE Rev. 2
Classification of Use of Agricultural Land
3.3. Sector coverage Main economic or other sectors covered by the statistics.
3.4. Statistical concepts and definitions Statistical characteristics of statistical observations.
Agricultural land – used agricultural land, i.e. land under planted and harvested crops (field crops, greenhouse crops, fruit and berry plantations, nurseries, natural grasslands, orchards, vegetable gardens, and fallow land).
Area treated with pesticide – the part of sown area, which has been treated with one or more pesticides at the same time or at different growth phases one or more times; if the pesticide was used to treat seeds, then the area where the seeds have been used is calculated. None of the treated areas should be larger than the sown area.
Desiccants – herbicides; desiccants are used to dry up leaves and weed.
Fungicides – used to defeat fungi and viral diseases (here are also seed treatment preparations).
Growth regulators – used to prevent or control internodes stretch.
Herbicides – used to kill weeds.
Insecticides – used to kill insects (here are also seed treatment preparations).
Molluscicides – used to kill molluscs (snails, slugs, mussels, etc.).
Seed treatment preparations – chemical with which seeds are treated prior to planting to prevent them from seed-borne or soil-borne pathogenic organisms and storage insects.
Sown area – area that has been sown at the time of reporting year, including the sown areas maintained from the last years. If the cereals were sown to get the green fodder, then the sown area is shown according to its real usage.
The amount of pesticide – the amount of pesticide formulation used to treat plants one or more times.
3.5. Statistical unit Entity for which information is sought and for which statistics are ultimately compiled.
3.6. Statistical population The total membership or population or "universe" of a defined class of people, objects or events.
Agricultural holdings who use pesticides
List of agricultural holdings where there is at least one hectare of utilised agricultural land or where there is less than one hectare of utilised agricultural land but agricultural products are produced mainly for sale. The list is generated from the statistical register of agricultural holdings.
3.7. Reference area The country or geographic area to which the measured statistical phenomenon relates.
Estonia as a whole
3.8. Time coverage The length of time for which data are available.
3.9. Base period The period of time used as the base of an index number, or to which a constant series refers.
Quantity of pesticide – kg
Quantity of pesticide per hectare of agricultural land – kg/ha
Quantity of pesticide per hectare of cultivated land – kg/ha
Quantity of pesticide per hectare of treated land – kg/ha
Basic area treated – ha
6. Institutional mandate
6.1. Legal acts and other agreements Legal acts or other formal or informal agreements that assign responsibility as well as the authority to an agency for the collection, processing, and dissemination of statistics.
DIRECTLY APPLICABLE LEGAL ACT
Regulation (EC) No 1185/2009 of the European Parliament and of the Council of 25 November 2009 concerning statistics on pesticides
OTHER LEGAL ACTS
Commission Regulation (EU) No 656/2011 of 7 July 2011 implementing Regulation (EC) No 1185/2009 of the European Parliament and of the Council concerning statistics on pesticides, as regards definitions and list of active substances (Text with EEA relevance)
Commission Regulation (EU) No 408/2011 of 27 April 2011 implementing Regulation (EC) No 1185/2009 of the European Parliament and of the Council concerning statistics on pesticides, as regards transmission format (Text with EEA relevance)
Food and Agriculture Organisation of the United Nations (FAO)
7.1. Confidentiality - policy Legislative measures or other formal procedures which prevent unauthorised disclosure of data that identify a person or economic entity either directly or indirectly.
The dissemination of data collected for the purpose of producing official statistics is guided by the requirements provided for in § 34 and § 35 of the Official Statistics Act.
7.2. Confidentiality - data treatment Rules applied for treating the data set to ensure statistical confidentiality and prevent unauthorised disclosure.
The treatment of confidential data is regulated by the Procedure for Protection of Data Collected and Processed by Statistics Estonia: https://www.stat.ee/66485.
8.1. Release calendar The schedule of statistical release dates.
Notifications about the dissemination of statistics are published in the release calendar, which is available on the website. On 1 October each year, the release times of the Statistical Database, news releases, main indicators by IMF SDDS and publications are announced in the release calendar (in case of publications – the release month).
8.2. Release calendar access Access to the release calendar information.
8.3. User access The policy for release of the data to users, the scope of dissemination (e.g. to the public, to selected users), how users are informed that the data are being released, and whether the policy determines the dissemination of statistical data to all users.
All users have been granted an equal access to official statistics: this means that the dissemination dates of official statistics have to be announced in advance and no user category (incl. Eurostat, state authorities and mass media) can have access to the official statistics (results of official statistical surveys) before other users. Statistical information is first published in the Statistical Database. In case a news release is published based on the same data, the information provided in the relevant news release is simultaneously published in the Statistical Database. Official statistics are available on the website at 8.00 a.m. on the date announced in the release calendar.
10. Accessibility and clarity
10.1. News release Regular or ad-hoc press releases linked to the data.
10.2. Publications Regular or ad-hoc publications in which the data are made available to the public.
„Eesti statistika aastaraamat. Statistical Yearbook of Estonia”
10.3. Online database Information about on-line databases in which the disseminated data can be accessed.
Data are published under the heading „Environment/ Agri-environmental indicators” in the Statistical Database in http://pub.stat.ee.
10.4. Microdata access Information on whether micro-data are also disseminated.
The dissemination of data collected for the purpose of producing official statistics is guided by the requirements provided for in § 34, § 35, § 36, § 37, § 38 of the Official Statistics Act. Access to micro-data and anonymisation of micro-data are regulated by Statistics Estonia’s „Procedure for dissemination of confidential data for scientific purposes”: https://www.stat.ee/dokumendid/51669.
10.5. Other References to the most important other data dissemination done.
10.6. Documentation on methodology Descriptive text and references to methodological documents available.
A common methodology for the collection of pesticide usage statistics within agriculture and horticulture, Eurostat (2008)
10.7. Quality documentation Documentation on procedures applied for quality management and quality assessment.
The first quality report will be prepared and submitted to Eurostat in 2016 in accordance with Regulation (EC) No 1185/2009 concerning statistics on pesticides.
11.1. Quality assurance All systematic activities implemented that can be demonstrated to provide confidence that the processes will fulfil the requirements for the statistical output.
To assure the quality of processes and products, Statistics Estonia applies the EFQM Excellence Model, EU Statistics Code of Practice and the ESS Quality Assurance Framework (QAF). Statistics Estonia is also guided by the requirements provided for in § 7. „Principles and quality criteria of producing official statistics” of the Official Statistics Act.
11.2. Quality assessment Overall assessment of data quality, based on standard quality criteria.
Statistics Estonia performs all statistical activities according to an international model (Generic Statistical Business Process Model – GSBPM). According to the GSBPM, the final phase of statistical activities is overall evaluation using information gathered in each phase or sub-process (this information includes, among other things, feedback from users, process metadata, system metrics and suggestions from employees). This information is used to prepare the evaluation report which outlines all the quality problems related to the specific statistical activity and serves as input for improvement actions.
12.1. User needs Description of users and their respective needs with respect to the statistical data.
Ministry of the Environment
Ministry of Rural Affairs
Estonian University of Life Sciences
Users’ suggestions and information about taking them into account are available on the SE website https://www.stat.ee/statistikatood.
12.2. User satisfaction Measures to determine user satisfaction.
Since 1996 Statistics Estonia conducts reputation surveys and user surveys.
All results are available on the website https://www.stat.ee/user-surveys.
12.3. Completeness The extent to which all statistics that are needed are available.
In compliance with the rules (regulations).
13. Accuracy and reliability Accuracy: closeness of computations or estimates to the exact or true values that the statistics were intended to measure.
13.1. Overall accuracy Assessment of accuracy, linked to a certain data set or domain, which is summarising the various components.
The type of survey and the data collection methods ensure sufficient coverage and timeliness.
13.2. Sampling error That part of the difference between a population value and an estimate thereof, derived from a random sample, which is due to the fact that only a subset of the population is enumerated.
13.3. Non-sampling error Error in survey estimates which cannot be attributed to sampling fluctuations.
14. Timeliness and punctuality
14.1. Timeliness Length of time between data availability and the event or phenomenon they describe.
The data are released 300 days upon the end of the reference year (T+300).
14.2. Punctuality Time lag between the actual delivery of the data and the target date when it should have been delivered.
The data have been published at the time announced in the release calendar.
15. Coherence and comparability
15.1. Comparability - geographical The extent to which statistics are comparable between geographical areas.
According to Regulation (EC) No 1185/2009 of the European Parliament and of the Council, the first data transmission is scheduled for 2015 – the data will be geographically comparable after that.
15.2. Comparability - over time The extent to which statistics are comparable or reconcilable over time.
The data are comparable since 2006.
15.3. Coherence - cross domain The extent to which statistics are reconcilable with those obtained through other data sources or statistical domains.
The data are in compliance with the data on crop farming in agricultural statistics.
15.4. Coherence - internal The extent to which statistics are consistent within a given data set.
The outputs of the statistical activity are coherent.
Total time of filling in reports of statistical actions, working days: 7,8
Average time of filling in the reports, hours per report:
Taimekaitsevahendite mittepõllumajanduslik kasutamine: 0,7
17.1. Data revision - policy Policy aimed at ensuring the transparency of disseminated data, whereby preliminary data are compiled that are later revised.
The data revision policy and notification of corrections are described in the dissemination policy of Statistics Estonia https://www.stat.ee/dissemination-policy.
17.2. Data revision - practice Information on the data revision practice.
The published data may be revised if the methodology is modified, if errors are discovered, if new or better data become available.
18. Statistical processing
18.1. Source data Characteristics and components of the raw statistical data used for compiling statistical aggregates.
Total population involves 20,000 objects. The sample includes ca 3500 objects.
DATA FROM OTHER STATISTICAL ACTIVITIES
Data from statistical activity 21214 „Crop farming” are used.
18.2. Frequency of data collection Frequency with which the source data are collected.
18.3. Data collection Systematic process of gathering data for official statistics.
Data are collected through eSTAT (the web channel for electronic data submission). eSTAT is also used to monitor the completion of questionnaires. The questionnaires have been designed for completion in eSTAT by the respondents themselves and they include instructions and controls. The questionnaires and information about data submission are available on Statistics Estonia’s website at https://www.stat.ee/andmete-esitamine (in Estonian).
Data are collected with the annual statistical questionnaire „Taimekasvatus”.
18.4. Data validation Process of monitoring the results of data compilation and ensuring the quality of statistical results.
Arithmetic and qualitative controls are used in the validation process, including comparison with the data of previous periods.
18.5. Data compilation Operations performed on data to derive new information according to a given set of rules.
Weights will be calculated for statistical units and used for expanding sample survey data to the total population. The ratio of the total population of the corresponding stratum to the number of respondents in the stratum is used as an expansion factor. In the case of missing data, estimate imputation based on established regulations will be used. The values of variables which were not collected but which are necessary for producing the output will be calculated. New variables are calculated by applying arithmetic conversion to already existing variables. Individual data are aggregated to the level necessary for analysis. This includes aggregating the data according to the classification. The collected data are converted into statistical output. This includes calculating additional indicators.
18.6. Adjustment The set of procedures employed to modify statistical data to enable it to conform to national or international standards or to address data quality differences when compiling specific data sets.