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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 Lithuania |
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1.2. Contact organisation unit | Agricultural, environmental and energy statistics division |
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1.5. Contact mail address | 29 Gedimino Ave., LT-01500 Vilnius, Lithuania |
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2.1. Data description | |||
See sub-categories below |
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2.1.1. Main characteristics of statistics | |||
The main purpose of the statistical survey is to prepare and publish statistical information on the use of plant protection products in agriculture. During the survey, data on the quantity of plant protection products used on agricultural plants and the area treated are collected. |
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2.1.2. Reference period of data collection | |||
2018 |
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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 | |||
Non-financial agricultural companies, enterprises, farmers’ and family farms engaged in crop production. The selected crops are the main crops in Lithuania and covers 94% of the Utilised Agricultural Area. |
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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 | |||
Survey covered only agricultural use of pesticides |
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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 company, enterprise, farmer's and family farm engaged in crop production activities. |
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2.6. Statistical population | |||
Agricultural companies and enterprises, farmers’ and family farms having with arable land, pastures, meadows and perennial plantations. Organic production holdings are not included in the survey. |
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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 | |||
Not applicable |
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2.8. Coverage - Time | |||
Since 2014 |
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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 | |||
Once in 5 year reference period |
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3.3. Data collection | |||
See the attached Excel file in the Annexes. |
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3.4. Data validation | |||
The respondents filling in the questionnaire themselves as well as interviewers had to observe whether the data provided complied with the logical and arithmetical connections given in the questionnaires. There were logical and arithmetic controls for the APR-02 questionnaire for agricultural companies and enterprises (both to the programs created using ORACLE software and ABBYY Form Filler), aswell as in APRŪ-02 questionnaire for farmers' and family farms. There were mandatory and ignored errors. Mandatory errors had necessarily to be corrected. Ignored errors were designed to draw attention to the fact that there may be an error. After filling in the questionnaire, respondents or interviewers could see an error protocol (if there were any errors). This protocol appeared after checking the questionnaire due to logical and arithmetical controls. Then the respondents or interviewers had to correct all the errors before sending the questionnaire. If they tried to transmit a questionnaire with errors, incorrect questionnaires were returned to them for correction. Incorrect questionnaires had not been loaded to the database.
Comparisons of the survey data both at micro and macro level were made in order to ensure data quality by detecting outliers and discrepancies. Data obtained directly from the holding were compared to the data taken from administrative sources. Micro data comparisons were made. If any outliers were obtained, the specialists in the central statistical office contacted the holding in order to clarify those outliers. IACS Crop declaration database as administrative data source was used. |
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3.4.1. Data validation measures | |||
Manual Automatic |
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3.4.2. Target of data validation measures | |||
Completeness Outliers Aggregates |
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3.4.3. Specification target of data validation | |||
3.5. Data compilation | |||
To prepare statistical information, data from the survey on the use of plant protection products in agriculture (statistical questionnaires APR-02,APRŪ-02) are used. In case of agricultural companies and enterprises, an exhaustive survey is conducted. In 2018, data were submitted by 490 respondents. In case of farmers’ and family farms, a simple random stratified sample is used. In 2018, 7000 farms (5,8 per cent of the total population) were sampled. A Statistical Analysis System (SAS) software was used to aggregate the results at the national level. |
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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 | |||
The quality of statistical information and its production process is ensured by the provisions of the European Statistics Code of Practice and ESS Quality Assurance Framework. In 2007, a quality management system, conforming to the requirements of the international quality management system standard ISO 9001, was introduced at Statistics Lithuania. The main trends in activity of Statistics Lithuania aimed at quality management and continuous development in the institution are established in the Quality Policy. Monitoring of the quality indicators of statistical processes and their results and self-evaluation of statistical survey managers is regularly carried out in order to identify the areas which need improvement and to promptly eliminate the shortcomings. |
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4.1.3. Peer review | |||
No | |||
4.1.4. Main conclusions peer review | |||
Not applicable |
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4.1.5. Future quality improvements | |||
None | |||
4.1.6. Specification of quality improvements | |||
Not applicable |
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4.1.7. Additional comments quality assurance | |||
Not applicable |
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4.2. Quality management - assessment | |||
Data quality is in line with the principles of accuracy and reliability, timeliness and punctuality, coherence and compatibility. Before the results are provided for users, additional statistical data control is exercised at the macro level. Outliers are identified and analysed. In case of significant deviations, the data provider is contacted, and the reasons are clarified. If inaccuracies are detected, statistical data are corrected. |
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4.2.1. Overall quality | |||
Stable | |||
4.2.2. Relevance | |||
Stable | |||
4.2.3. Accuracy and reliability | |||
Stable | |||
4.2.4. Timeliness and punctuality | |||
Improvement | |||
4.2.5. Comparability | |||
Stable | |||
4.2.6. Coherence | |||
Stable | |||
4.2.7. Additional comments quality assessment | |||
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5.1. Relevance - User Needs | |||
The main users of statistical information are State and municipal authorities and agencies, international organisations, the media, research and business communities, students, whose needs are satisfied without a breach of the confidentiality principle. |
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5.1.1. Unmet user needs | |||
All user needs are met |
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5.1.2. Plans for satisfying unfilled user needs | |||
Not applicable |
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5.1.3. Additional comments user needs | |||
Not applicable |
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5.2. Relevance - User Satisfaction | |||
From 2005, user opinion surveys have been conducted on a regular basis. Official Statistics Portal traffic is monitored, website visitor opinion polls, general opinion poll on the products and services of Statistics Lithuania, target user group opinion polls and other surveys are conducted. In 2007, the compilation of a user satisfaction index was launched. The said surveys are aimed at the assessment of the overall demand for and necessity of statistical information in general and specific statistical indicators in particular. More information on user surveys and their results is available in section User surveys on the Statistics Lithuania website. |
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5.2.1. User satisfaction survey | |||
Yes | |||
5.2.2. Year of user satisfaction survey | |||
2018 |
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5.2.3. Satisfaction level | |||
Satisfied | |||
5.2.4. Additional comments user satisfaction | |||
Not applicable |
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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 | |||
The statistical survey was conducted using sampling method for farmers’ and family farms and an exhaustive survey for agricultural companies and enterprises. Statistical data are analysed by estimating outliers and edited. |
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6.1.1. Grading of accuracy | |||
High | |||
6.1.2. Factors lowering accuracy | |||
Sampling error Non-response error |
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6.1.3. Specification of factors | |||
Not applicable |
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6.1.4. Additional comments overall accuracy | |||
Not applicable |
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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 applicable |
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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 | |||
The revision policy of Statistics Lithuania is provided in the document General Principles behind the Performance, Analysis and Announcement of Revisions of Statistical Indicators. |
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6.6. Data revision - practice | |||
The results published are final and not revised later. Exception – upon the detection of significant errors, change in classification or methodology, new data sources. |
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6.6.1. Data revision - average size | |||
Not applicable since no data revision was performed. |
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6.6.2. Data revisions - conceptual changes | |||
No | |||
6.6.3. Reason for revisions | |||
Not applicable |
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6.6.4. Impact of revisions | |||
Not important | |||
6.6.5. Additional comments data revisions | |||
No additional comments |
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7.1. Timeliness | |||
See sub-categories below. |
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7.1.1. Time lag - first result | |||
Statistical information is published in 11 months after the end of the reference period. |
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7.1.2. Time lag - final result | |||
Statistical information is published in 11 months after the end of the reference period. |
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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 | |||
7.2.1. Data release according to schedule | |||
YES | |||
7.2.2. Data release on target date | |||
YES | |||
7.2.3. Reasons for delays | |||
No delays occured |
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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 | |||
Plant protection products use in agriculture survey data can be compared with plant protection products placed on the market annual survey data. |
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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 | |||
Not applicable |
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9.1. Dissemination format - News release | |||
Not applicable |
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9.1.1. Publication of news releases | |||
No | |||
9.1.2. Link to news releases | |||
9.2. Dissemination format - Publications | |||
Not applicable |
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9.2.1. Production of paper publication | |||
No | |||
9.2.2. English paper publication | |||
No | |||
9.2.3. Production of electronic publication | |||
No | |||
9.2.4. English electronic publication | |||
No | |||
9.2.5. Link to publications | |||
9.3. Dissemination format - online database | |||
Database of Indicators (Agriculture, forestry and fishing -> Agriculture -> Agro-environmental indicators->Plant protection products used in agriculture) |
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9.3.1. Data tables - consultations | |||
Not available |
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9.3.2. Accessibility of on-line database | |||
Yes | |||
9.3.3. Link to on-line database | |||
Database of Indicators (Agriculture, forestry and fishing -> Agriculture -> Agro-environmental indicators->Plant protection products used in agriculture) |
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9.4. Dissemination format - microdata access | |||
Not applicable |
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9.4.1. Accessibility of micro-data | |||
No | |||
9.4.2. Link to micro-data | |||
Not applicable |
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9.5. Dissemination format - other | |||
Not applicable |
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9.6. Documentation on methodology | |||
National metadata and methodology available on Official statistics portal https://osp.stat.gov.lt/ |
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9.6.1. Availability of national reference metadata | |||
Yes | |||
9.6.2. Link to national reference metadata | |||
9.6.3. Availability of methodological papers | |||
Yes | |||
9.6.4. Link to methodological papers | |||
https://osp.stat.gov.lt/documents/10180/550594/Metodika-Augalu-apsaugos-produktu-zu.pdf (methodology, only in lithuanian) |
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9.6.5. Availability of handbook | |||
No | |||
9.6.6. Link to handbook | |||
9.7. Quality management - documentation | |||
The quality of statistical information and its production process is ensured by the provisions of the European Statistics Code of Practice. In 2007, a quality management system, conforming with the requirements of the international quality management system standard ISO 9001, was introduced at Statistics Lithuania. |
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9.7.1. Metadata completeness - rate | |||
No information |
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9.7.2. Metadata - consultations | |||
No information |
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9.7.3. Availability of quality report | |||
NO | |||
9.7.4. Link to quality report | |||
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In 2018, the average time spent by respondents on the filling-in of the statistical questionnaire – 2 hour 56 minutes. The costs associated with collection, and production of pesticide use statistics are not available. |
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10.1. Efficiency gains | |||
On-line surveys Further automation |
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10.2. Specification efficiency gains | |||
10.3. Measures to reduce burden | |||
More user-friendly questionnaires | |||
10.4. Specification burden reduction | |||
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11.1. Confidentiality - policy | |||
In the process of statistical data collection, processing and analysis and dissemination of statistical information, Statistics Lithuania fully guarantees the confidentiality of the data submitted by respondents (households, enterprises, institutions, organisations and other statistical units), as defined in the Confidentiality Policy Guidelines of Statistics Lithuania. |
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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 | |||
In the process of statistical data collection, processing and analysis and dissemination of statistical information, Statistics Lithuania fully guarantees the confidentiality of the data submitted by respondents (households, enterprises, institutions, organisations and other statistical units), as defined in the Confidentiality Policy Guidelines of Statistics Lithuania (https://www.stat.gov.lt/en/konfidencialumo-uztikrinimas) |
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11.2. Confidentiality - data treatment | |||
Description of Statistical Disclosure Control Methods, approved by Order No DĮ-124 of 27 May 2008 of the Director General of Statistics Lithuania. Integrated Statistical Information System Data Security Regulations and Rules for the Secure Management of Electronic Information in the Integrated Statistical Information System, approved by Order No DĮ-240 of 16 September 2020 of the Director General of Statistics Lithuania. |
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11.2.1. Procedures for confidentiality | |||
If there was any confidential information in aggregated data, confidentiality flags were added. Confidentiality rules:
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11.2.2. Additional comments confidentiality - data treatment | |||
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ESQRS_ANNEX_PESTUSE_2015-2019 APRŪ-02 Questionnaire (use of plant protection in farmers and family farms survey) |