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For any question on data and metadata, please contact: Eurostat user support |
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1.1. Contact organisation | National Statistics Office (NSO) |
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1.2. Contact organisation unit | Unit B3: Environment, Agriculture and Fisheries Statistics |
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1.5. Contact mail address | National Statistics Office (NSO), Unit B3: Environment, Agriculture and Fisheries Statistics, Lascaris, Valletta VLT2000, Malta |
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2.1. Metadata last certified | 03/03/2022 | ||
2.2. Metadata last posted | 03/03/2022 | ||
2.3. Metadata last update | 03/03/2022 |
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3.1. Data description | |||
The data describe the structure of agricultural holdings providing the general characteristics of farms and farmers and information on their land, livestock and labour force. They also describe production methods, rural development measures and agro-environmental aspects that look at the impact of agriculture on the environment. The data are used by public, researchers, farmers and policy-makers to better understand the state of the farming sector and the impact of agriculture on the environment. The data follow up the changes in the agricultural sector and provide a basis for decision-making in the Common Agricultural Policy (CAP) and other European Union policies. The statistical unit is the agricultural holding (farm). The aggregated results are disseminated through statistical tables. The data are presented at different geographical levels and over periods. |
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3.2. Classification system | |||
Data are arranged in tables using many classifications. Please find below information on most classifications. The classifications of variables are available in Annex III of Regulation (EU) 2018/1091 and in Commission Implementing Regulation (EU) 2018/1874. The farm typology means a uniform classification of the holdings based on their type of farming and their economic size. Both are determined on the basis of the standard gross margin (SGM) (until 2007) or standard output (SO) (from 2010 onward) which is calculated for each crop and animal. The farm type is determined by the relative contribution of the different productions to the total standard gross margin or the standard output of the holding. The territorial classification uses the NUTS classification to break down the regional data. The regional data is available at NUTS level 2. |
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3.3. Coverage - sector | |||
The statistics cover agricultural holdings undertaking agricultural activities as listed in item 3.5 below and meeting the minimum coverage requirements (thresholds) as listed in item 3.6 below. |
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3.4. Statistical concepts and definitions | |||
The list of core variables is set in Annex III of Regulation (EU) 2018/1091. The descriptions of the core variables as well as the lists and descriptions of the variables for the modules collected in 2020 are set in Commission Implementing Regulation (EU) 2018/1874. The following groups of variables are collected in 2020:
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3.5. Statistical unit | |||
See sub-category below. |
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3.5.1. Definition of agricultural holding | |||
The agricultural holding is a single unit, both technically and economically, that has a single management and that undertakes economic activities in agriculture in accordance with Regulation (EC) No 1893/2006 belonging to groups: - A.01.1: Growing of non-perennial crops - A.01.2: Growing of perennial crops - A.01.3: Plant propagation - A.01.4: Animal production - A.01.5: Mixed farming or - The “maintenance of agricultural land in good agricultural and environmental condition” of group A.01.6 within the economic territory of the Union, either as its primary or secondary activity. Regarding activities of class A.01.49, only the activities “Raising and breeding of semi-domesticated or other live animals” (with the exception of raising of insects) and “Bee-keeping and production of honey and beeswax” are included. |
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3.6. Statistical population | |||
See sub-categories below. |
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3.6.1. Population covered by the core data sent to Eurostat (main frame and if applicable frame extension) | |||
The thresholds of agricultural holdings are available in the annex. Annexes: 3.6.1. Thresholds of agricultural holdings |
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3.6.1.1. Raised thresholds compared to Regulation (EU) 2018/1091 | |||
No | |||
3.6.1.2. Lowered and/or additional thresholds compared to Regulation (EU) 2018/1091 | |||
Yes | |||
3.6.2. Population covered by the data sent to Eurostat for the modules “Labour force and other gainful activities”, “Rural development” and “Machinery and equipment” | |||
The same population of agricultural holdings defined in item 3.6.1. The above answer holds for the modules ‘Labour force and other gainful activities’ and ‘Rural development’. The module ‘Machinery and equipment’ is not collected in 2020. |
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3.6.3. Population covered by the data sent to Eurostat for the module “Animal housing and manure management” | |||
The subset of the population of agricultural holdings defined in item 3.6.2. |
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3.7. Reference area | |||
See sub-categories below. |
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3.7.1. Geographical area covered | |||
The entire territory of the country. |
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3.7.2. Inclusion of special territories | |||
Not applicable. |
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3.7.3. Criteria used to establish the geographical location of the holding | |||
The residence of the farmer (manager) not further than 5 km straight from the farm | |||
3.7.4. Additional information reference area | |||
Not available. |
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3.8. Coverage - Time | |||
Farm structure statistics in our country cover the period from 2001 onwards. Older time series are described in the previous quality reports (national methodological reports). |
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3.9. Base period | |||
The 2020 data are processed (by Eurostat) with 2017 standard output coefficients (calculated as a 5-year average of the period 2015-2019). For more information, you can consult the definition of the standard output. |
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Two kinds of units are generally used:
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See sub-categories below. |
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5.1. Reference period for land variables | |||
The use of land refers to the 12-month period ending on 31 August 2020. In the case of successive crops from the same piece of land, the land use refers to a crop that is harvested during the reference year, regardless of when the crop in question is sown. |
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5.2. Reference period for variables on irrigation and soil management practices | |||
The 12-month period ending on 31 August 2020 within the reference year 2020. |
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5.3. Reference day for variables on livestock and animal housing | |||
The reference day 30 September 2020 within the reference year 2020. |
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5.4. Reference period for variables on manure management | |||
The 12-month period ending on 30 September 2020. This period includes the reference day used for livestock and animal housing. |
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5.5. Reference period for variables on labour force | |||
The 12-month period ending on 31 August 2020 within the reference year 2020. |
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5.6. Reference period for variables on rural development measures | |||
The three-year period ending on 31 December 2020. |
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5.7. Reference day for all other variables | |||
The reference day 30 September within the reference year 2020. |
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6.1. Institutional Mandate - legal acts and other agreements | |||
See sub-categories below. |
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6.1.1. National legal acts and other agreements | |||
Legal act | |||
6.1.2. Name of national legal acts and other agreements | |||
Malta Statistics Authority Act 2000 |
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6.1.3. Link to national legal acts and other agreements | |||
6.1.4. Year of entry into force of national legal acts and other agreements | |||
2000 |
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6.1.5. Legal obligations for respondents | |||
Yes | |||
6.2. Institutional Mandate - data sharing | |||
The Malta Statistics Authority Act gives power to the NSO to collect data from administrative sources. Besides, for the Census of Agriculture 2020, an agreement has been signed with the Ministry for Agriculture, Fisheries, Food and Animal rights (MAFA) to enable sharing of the microdata collected in the Census by NSO of those agricultural holdings that gave us such consent. |
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7.1. Confidentiality - policy | |||
All individual data collected during the IFS is strictly confidential. No data, which might single out individual information, may be published. |
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7.2. Confidentiality - data treatment | |||
See sub-categories below. |
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7.2.1. Aggregated data | |||
See sub-categories below. |
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7.2.1.1. Rules used to identify confidential cells | |||
No rules applied | |||
7.2.1.2. Methods to protect data in confidential cells | |||
No methods applied | |||
7.2.1.3. Description of rules and methods | |||
Not applicable. |
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7.2.2. Microdata | |||
See sub-categories below. |
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7.2.2.1. Use of EU methodology for microdata dissemination | |||
Yes | |||
7.2.2.2. Methods of perturbation | |||
Merging categories | |||
7.2.2.3. Description of methodology | |||
The methodology is described in the dedicated section of Eurostat's website: https://ec.europa.eu/eurostat/web/microdata. |
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8.1. Release calendar | |||
An advance release calendar is maintained by the NSO and published on the NSO website. The calendar projects three months of news releases (including the current and two subsequent months). |
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8.2. Release calendar access | |||
https://nso.gov.mt/en/News_Releases/Release_Calendar/Pages/News-Release-Calendar.aspx |
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8.3. Release policy - user access | |||
An internal policy on dissemination is in place to govern the dissemination of official statistics in an impartial, independent and timely manner, making them available simultaneously to all users. The NSO’s primary channel for the dissemination of official statistics is the NSO website. Tailored requests for statistical information may also be submitted through the NSO website. |
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8.3.1. Use of quality rating system | |||
No | |||
8.3.1.1. Description of the quality rating system | |||
Not applicable. |
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Data on Integrated Farm Statistics is disseminated every 3-4 years. |
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10.1. Dissemination format - News release | |||
See sub-categories below. |
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10.1.1. Publication of news releases | |||
Yes | |||
10.1.2. Link to news releases | |||
https://nso.gov.mt/census-of-agriculture-2020-main-findings/ |
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10.2. Dissemination format - Publications | |||
See sub-categories below. |
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10.2.1. Production of paper publications | |||
No | |||
10.2.2. Production of on-line publications | |||
Yes, in English also | |||
10.2.3. Title, publisher, year and link | |||
Census of Agriculture – 2020 Report: https://nso.gov.mt/themes_publications/agricensus-2020/ |
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10.3. Dissemination format - online database | |||
See sub-categories below. |
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10.3.1. Data tables - consultations | |||
Not available. |
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10.3.2. Accessibility of online database | |||
No | |||
10.3.3. Link to online database | |||
Not applicable. |
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10.4. Dissemination format - microdata access | |||
See sub-category below. |
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10.4.1. Accessibility of microdata | |||
Yes | |||
10.5. Dissemination format - other | |||
Not available. |
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10.5.1. Metadata - consultations | |||
Not requested. |
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10.6. Documentation on methodology | |||
See sub-categories below. |
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10.6.1. Metadata completeness - rate | |||
Not requested. |
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10.6.2. Availability of national reference metadata | |||
No | |||
10.6.3. Title, publisher, year and link to national reference metadata | |||
Not available. |
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10.6.4. Availability of national handbook on methodology | |||
No | |||
10.6.5. Title, publisher, year and link to handbook | |||
Not applicable. |
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10.6.6. Availability of national methodological papers | |||
No | |||
10.6.7. Title, publisher, year and link to methodological papers | |||
Not applicable. |
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10.7. Quality management - documentation | |||
SIMS reports related to the compilation of the FSS are available to the public on the NSO’s metadata website including concepts related to metadata and quality. A quality report is additionally sent to Eurostat. The NSO has developed an internal Quality Management Framework (QMF) which is built on common requirements of the ESS Code of Practice (ESS CoP). A document was prepared to include a set of general quality guidelines spanning overall statistical domains. Assuring methodological soundness is an integral part of the QMF, nonetheless, the document spans also other areas related to institutional aspects. |
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11.1. Quality assurance | |||
See sub-categories below. |
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11.1.1. Quality management system | |||
Yes | |||
11.1.2. Quality assurance and assessment procedures | |||
Use of best practices Quality guidelines Self-assessment Peer review |
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11.1.3. Description of the quality management system and procedures | |||
The NSO ensures the accuracy of data released to the public and prepares clear methodological notes which explain the processes involved in the collection and production of official statistics. The NSO has developed an internal Quality Management Framework (QMF) which is built on common requirements of the ESS Code of Practice (ESS CoP). A document was prepared to include a set of general quality guidelines spanning over all statistical domains. Assuring methodological soundness is an integral part of the QMF, nonetheless, the document spans also on other areas related to institutional aspects. Every five to seven years, the NSO participates in a Peer Review exercise through which the compliance of its operations with principles of the ESS CoP is assessed by an expert team. Peer Reviews are indeed part of the European Statistical System (ESS) strategy to implement the ESS CoP. Each NSI is expected to provide information as requested by a standard self-assessment questionnaire. Following this, an expert team visits the office to meet NSI representatives and main stakeholders. Peer Reviews result in a compliance report and the listing of a set of Improvement Actions that need to be followed up by the NSI. The next round of Peer Reviews is planned to be carried out in 2022. |
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11.1.4. Improvements in quality procedures | |||
Not available. |
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11.2. Quality management - assessment | |||
Not available. |
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12.1. Relevance - User Needs | |||
The main user of the Census data is the Directorate for Agriculture within the Ministry for Agriculture, Fisheries, Food and Animal rights (MAFA). All the additional data that has been collected in the Census 2020, was the need of the Directorate for Agriculture. They needed such detailed data in order to help them to make further analysis targeting for example specific crops in specific areas and also to have a stock of the main machinery that is used in the local agriculture sector. Such information will help them to formulate better policies in the coming years. |
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12.1.1. Main groups of variables collected only for national purposes | |||
In the Census 2020, the following data has been collected for national purposes only: - the percentage of the production that has been consumed by the agricultural holding's family members and the share that has been sold - whether the agricultural holding has bought any land for agricultural purposes in the last 5 years. If yes, we asked for the amount of land and also the amount paid. - whether the agricultural holding has sold any land for agricultural purposes in the last 5 years. If yes, we asked for the amount of land and also the amount paid. - detailed data has been collected on each and every parcel of land. - whether the manager is training someone that may be interested to take over once the manager retires. - information on agricultural machinery such as the number of tractors and small rotavators, water pumps, and plant protection application equipment. |
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12.1.2. Unmet user needs | |||
All user needs were met. |
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12.1.3. Plans for satisfying unmet user needs | |||
Not applicable. |
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12.2. Relevance - User Satisfaction | |||
The last User Satisfaction Survey was held in 2014 with the aim to collect information about key users’ satisfaction with statistical output. The NSO keeps a record of the number of News Releases and publications disseminated on its website; the users to whom statistical products are provided; as well as the number of requests that are processed every year. News Releases and tailor-made statistical outputs were assessed on account of their quality, timeliness, and on their ability to meet users’ needs. |
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12.2.1. User satisfaction survey | |||
Yes | |||
12.2.2. Year of user satisfaction survey | |||
2014 |
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12.2.3. Satisfaction level | |||
Satisfied | |||
12.3. Completeness | |||
Information on not collected, not-significant and not-existent variables is on Eurostat's website. |
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12.3.1. Data completeness - rate | |||
Not applicable for Integrated Farm Statistics as the not collected variables, not-significant variables and not-existent variables are completed with 0. |
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13.1. Accuracy - overall | |||
See categories below. |
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13.2. Sampling error | |||
See sub-categories below. |
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13.2.1. Sampling error - indicators | |||
Not applicable since we have conducted a census and not a sample survey. |
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13.2.2. Reasons for non-compliant precision requirements in relation to Regulation (EU) 2018/1091 | |||
Not applicable since we have conducted a census and not a sample survey. |
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13.2.3. Methodology used to calculate relative standard errors | |||
Not applicable since we have conducted a census and not a sample survey. |
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13.2.4. Impact of sampling error on data quality | |||
None | |||
13.3. Non-sampling error | |||
See sub-categories below. |
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13.3.1. Coverage error | |||
See sub-categories below. |
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13.3.1.1. Over-coverage - rate | |||
The over-coverage rate is available in the annex. The over-coverage rate is unweighted. Annexes: 13.3.1.1 Over-coverage rate and Unit non-response rate |
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13.3.1.1.1. Types of holdings included in the frame but not belonging to the population of the core (main frame and if applicable frame extension) | |||
Below thresholds during the reference period | |||
13.3.1.1.2. Actions to minimize the over-coverage error | |||
None | |||
13.3.1.1.3. Additional information over-coverage error | |||
Not available. |
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13.3.1.2. Common units - proportion | |||
Not requested. |
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13.3.1.3. Under-coverage error | |||
See sub-categories below. |
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13.3.1.3.1. Under-coverage rate | |||
A numeric rate is not available but we made our best to include every holding in the population frame by merging all the available registers available at our side and also the Ministry for Agriculture, Fisheries, Food and Animal rights (MAFA). |
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13.3.1.3.2. Types of holdings belonging to the population of the core but not included in the frame (main frame and if applicable frame extension) | |||
None | |||
13.3.1.3.3. Actions to minimise the under-coverage error | |||
Prior to the census, we have merged all the available registers available at our side and also the Ministry for Agriculture, Fisheries, Food and Animal rights (MAFA). |
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13.3.1.3.4. Additional information under-coverage error | |||
Not available. |
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13.3.1.4. Misclassification error | |||
No | |||
13.3.1.4.1. Actions to minimise the misclassification error | |||
Not applicable since census has been conducted and not a sample survey. |
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13.3.1.5. Contact error | |||
No | |||
13.3.1.5.1. Actions to minimise the contact error | |||
All the registers that been merged together prior to the census have been also merged with our population database to try to have the latest contact telephone number of the farmers. |
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13.3.1.6. Impact of coverage error on data quality | |||
None | |||
13.3.2. Measurement error | |||
See sub-categories below. |
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13.3.2.1. List of variables mostly affected by measurement errors | |||
A thorough check of completed questionnaires is an integral part of the processing system. Data control started at the collection stage. Since we have opted for the CAPI, we have included a number of in-built validations directly in the system. Besides, we have tested the system prior to the launch of the data collection. Apart from this, all interviewers were instructed to interview not more than five holdings and submit the data to be able to identify any mistakes undertaken during the interviewing stage. This exercise helped the interviewer to reduce the number of errors in the remaining questionnaires. Once the interviewers submitted the questionnaires through the system, a number of validations were run on the data and, in cases where information was not clear, the interviewer was contacted again to verify the data given by the farmer. In such instances, the interviewer could update the data and resend the respective questionnaire. The above measures were taken in order to minimise as much as possible the measurement errors. Basically, the following characteristics caused some measurement errors: Male and female family persons working on the holding - FLF_D_RFAM_M_PC1T24, FLF_D_RFAM_M_PC25T49.......FLF_D_RFAM_F_PC100 - Respondents' inability to provide accurate answers Non-family male and female persons regularly working on the holding - FLF_D_RNFAM_M_PC1T24, FLF_D_RNFAM_M_PC25T49......FLF_D_RNFAM_F_PC100 - Respondents' inability to provide accurate answers |
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13.3.2.2. Causes of measurement errors | |||
Respondents’ inability to provide accurate answers | |||
13.3.2.3. Actions to minimise the measurement error | |||
Pre-testing questionnaire Explanatory notes or handbooks for enumerators or respondents Training of enumerators |
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13.3.2.4. Impact of measurement error on data quality | |||
Low | |||
13.3.2.5. Additional information measurement error | |||
Not available. |
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13.3.3. Non response error | |||
See sub-categories below. |
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13.3.3.1. Unit non-response - rate | |||
The unit non-response rate is in the annex of item 13.3.1.1. The unit non-response rate is unweighted. |
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13.3.3.1.1. Reasons for unit non-response | |||
Not applicable | |||
13.3.3.1.2. Actions to minimise or address unit non-response | |||
Follow-up interviews Reminders |
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13.3.3.1.3. Unit non-response analysis | |||
Not available. |
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13.3.3.2. Item non-response - rate | |||
There were no partly completed questionnaires. The respondents are asked all the questions by the interviewers and they reply to every question. |
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13.3.3.2.1. Variables with the highest item non-response rate | |||
Not applicable. |
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13.3.3.2.2. Reasons for item non-response | |||
Not applicable | |||
13.3.3.2.3. Actions to minimise or address item non-response | |||
None | |||
13.3.3.3. Impact of non-response error on data quality | |||
None | |||
13.3.3.4. Additional information non-response error | |||
Not available. |
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13.3.4. Processing error | |||
See sub-categories below. |
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13.3.4.1. Sources of processing errors | |||
Data entry | |||
13.3.4.2. Imputation methods | |||
None | |||
13.3.4.3. Actions to correct or minimise processing errors | |||
When the data collected from the census resulted in discrepancies, the relevant participants were contacted again in order to confirm the data provided. No processing errors were found as a result of thoroughly checking the data during the input stage and also through the inbuilt validations in the system. |
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13.3.4.4. Tools and staff authorised to make corrections | |||
Interviewers were able to make corrections in the questionnaire directly on the tablet and insert a remark on the correction they were doing. Once the correction has been done, the interviewer submits the questionnaire again to the office. Besides, the interviewers, only the Head of Unit was able to do corrections on the data submitted by the interviewer during the validation stage. Once the staff finds a query, he clarifies with the interviewer/farmer and then provides the head of the unit with the updated data together with the reason and he personally updates the data in the database. |
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13.3.4.5. Impact of processing error on data quality | |||
Low | |||
13.3.4.6. Additional information processing error | |||
Not available. |
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13.3.5. Model assumption error | |||
Not applicable |
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14.1. Timeliness | |||
See sub-categories below. |
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14.1.1. Time lag - first result | |||
The first results were published on 1st February 2022 i.e. 14 months after the end of the reference year. |
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14.1.2. Time lag - final result | |||
The exact time lag is not yet known. |
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14.2. Punctuality | |||
See sub-categories below. |
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14.2.1. Punctuality - delivery and publication | |||
See sub-categories below. |
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14.2.1.1. Punctuality - delivery | |||
Not requested. |
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14.2.1.2. Punctuality - publication | |||
Not available. |
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15.1. Comparability - geographical | ||||||||||||||||||||||||||||||
See sub-categories below. |
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15.1.1. Asymmetry for mirror flow statistics - coefficient | ||||||||||||||||||||||||||||||
Not applicable, because there are no mirror flows in Integrated Farm Statistics. |
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15.1.2. Definition of agricultural holding | ||||||||||||||||||||||||||||||
See sub-categories below. |
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15.1.2.1. Deviations from Regulation (EU) 2018/1091 | ||||||||||||||||||||||||||||||
The data sent to Eurostat and/or the published data regarding agricultural holdings respect the definition set in Regulation (EU) 2018/1091. |
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15.1.2.2. Reasons for deviations | ||||||||||||||||||||||||||||||
Not applicable. |
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15.1.3. Thresholds of agricultural holdings | ||||||||||||||||||||||||||||||
See sub-categories below. |
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15.1.3.1. Proofs that the EU coverage requirements are met | ||||||||||||||||||||||||||||||
Group A – all holdings over the thresholds and producing for the market (are included in the main frame) Group B - all holdings over the thresholds and producing mainly for self-consumption (are included in the main frame) Group C - all holdings under the thresholds and producing for the market (are included in the frame extension) Group D - all holdings under the thresholds and producing mainly for self-consumption (are included in the frame extension) |
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15.1.3.2. Differences between the national thresholds and the thresholds used for the data sent to Eurostat | ||||||||||||||||||||||||||||||
The thresholds applied for the national data collection are the same as those applied for the data sent to Eurostat. |
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15.1.3.3. Reasons for differences | ||||||||||||||||||||||||||||||
Not applicable. |
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15.1.4. Definitions and classifications of variables | ||||||||||||||||||||||||||||||
See sub-categories below. |
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15.1.4.1. Deviations from Regulation (EU) 2018/1091 and EU handbook | ||||||||||||||||||||||||||||||
The data that is sent to Eurostat and/or published data is with the same definitions and classification of variables included in Regulation (EU) 2018/1091, Commission Implementing Regulation (EU) 2018/1874, and EU handbook. |
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15.1.4.1.1. The number of working hours and days in a year corresponding to a full-time job | ||||||||||||||||||||||||||||||
The information is available in the annex. Annexes: 15.1.4.1.1. AWU |
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15.1.4.1.2. Point chosen in the Annual work unit (AWU) percentage band to calculate the AWU of holders, managers, family and non-family regular workers | ||||||||||||||||||||||||||||||
The information is available in the annex of item 15.1.4.1.1. |
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15.1.4.1.3. AWU for workers of certain age groups | ||||||||||||||||||||||||||||||
The information is available in the annex of item 15.1.4.1.1. |
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15.1.4.1.4. Livestock coefficients | ||||||||||||||||||||||||||||||
For Livestock coefficients, we used those included in Regulation (EU) 2018/1091. |
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15.1.4.1.5. Livestock included in “Other livestock n.e.c.” | ||||||||||||||||||||||||||||||
There are no differences between the types of livestock included under the heading “Other livestock n.e.c.” and the types of livestock that should be included according to the EU handbook. |
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15.1.4.2. Reasons for deviations | ||||||||||||||||||||||||||||||
Not applicable. |
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15.1.5. Reference periods/days | ||||||||||||||||||||||||||||||
See sub-categories below. |
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15.1.5.1. Deviations from Regulation (EU) 2018/1091 | ||||||||||||||||||||||||||||||
The data that is sent to Eurostat and/or published data is in compliance with the reference periods/days set in Regulation (EU) 2018/1091. |
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15.1.5.2. Reasons for deviations | ||||||||||||||||||||||||||||||
Not applicable. |
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15.1.6. Common land | ||||||||||||||||||||||||||||||
The concept of common land does not exist | ||||||||||||||||||||||||||||||
15.1.6.1. Collection of common land data | ||||||||||||||||||||||||||||||
Not applicable | ||||||||||||||||||||||||||||||
15.1.6.2. Reasons if common land exists and data are not collected | ||||||||||||||||||||||||||||||
Not applicable. |
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15.1.6.3. Methods to record data on common land | ||||||||||||||||||||||||||||||
Not applicable | ||||||||||||||||||||||||||||||
15.1.6.4. Source of collected data on common land | ||||||||||||||||||||||||||||||
Not applicable | ||||||||||||||||||||||||||||||
15.1.6.5. Description of methods to record data on common land | ||||||||||||||||||||||||||||||
Not applicable. |
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15.1.6.6. Possible problems in relation to the collection of data on common land and proposals for future data collections | ||||||||||||||||||||||||||||||
Not applicable. |
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15.1.7. National standards and rules for certification of organic products | ||||||||||||||||||||||||||||||
See sub-categories below. |
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15.1.7.1. Deviations from Council Regulation (EC) No 834/2007 | ||||||||||||||||||||||||||||||
No, there are not any deviations from Council Regulation (EC) No 834/2007. |
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15.1.7.2. Reasons for deviations | ||||||||||||||||||||||||||||||
Not applicable. |
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15.1.8. Differences in methods across regions within the country | ||||||||||||||||||||||||||||||
Not applicable. |
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15.2. Comparability - over time | ||||||||||||||||||||||||||||||
See sub-categories below. |
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15.2.1. Length of comparable time series | ||||||||||||||||||||||||||||||
17 years |
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15.2.2. Definition of agricultural holding | ||||||||||||||||||||||||||||||
See sub-categories below. |
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15.2.2.1. Changes since the last data transmission to Eurostat | ||||||||||||||||||||||||||||||
There have been no changes | ||||||||||||||||||||||||||||||
15.2.2.2. Description of changes | ||||||||||||||||||||||||||||||
Regulation (EU) 2018/1091 newly considers agricultural holdings with only fur animals. However, our country does not raise fur animals. |
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15.2.3. Thresholds of agricultural holdings | ||||||||||||||||||||||||||||||
See sub-categories below. |
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15.2.3.1. Changes in the thresholds of holdings for which core data are sent to Eurostat since the last data transmission | ||||||||||||||||||||||||||||||
There have been sufficient changes to warrant the designation of a break in series | ||||||||||||||||||||||||||||||
15.2.3.2. Description of changes | ||||||||||||||||||||||||||||||
For the census 2020, no thresholds were applied on the whole frame since the small holdings are not monitored every year. Therefore, it was decided to collect all the information from all the registered holdings to have a better picture. This was not done in FSS 2016, in which holdings that were of type 9 were not taken into consideration for the sample. |
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15.2.4. Geographical coverage | ||||||||||||||||||||||||||||||
See sub-categories below. |
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15.2.4.1. Change in the geographical coverage since the last data transmission to Eurostat | ||||||||||||||||||||||||||||||
There have been no changes | ||||||||||||||||||||||||||||||
15.2.4.2. Description of changes | ||||||||||||||||||||||||||||||
Not applicable. |
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15.2.5. Definitions and classifications of variables | ||||||||||||||||||||||||||||||
See sub-categories below. |
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15.2.5.1. Changes since the last data transmission to Eurostat | ||||||||||||||||||||||||||||||
There have been some changes but not enough to warrant the designation of a break in series | ||||||||||||||||||||||||||||||
15.2.5.2. Description of changes | ||||||||||||||||||||||||||||||
Legal personality of the agricultural holding In IFS, there is a new class (“shared ownership”) for the legal personality of the holding compared to FSS 2016, which triggers fluctuations of holdings in the classes of sole holder holdings and group holdings.
AWU Till FSS 2016, we have asked the number of weeks/months that the person has worked during the year while in IFS 2020 we have asked the total number of hours worked. This change in the methodology of how data has been collected in both years may have an impact on the final data.
Other livestock n.e.c. In FSS 2016, deer were included in this class, but in IFS they are classified separately. Also in FSS 2016, there was a class for the collection of equidae. That has been dropped and equidae are included in IFS in "other livestock n.e.c."
Livestock units In FSS 2016, turkeys, ducks, geese, ostriches, and other poultry were considered each one in a separate class with a coefficient of 0.03 for all the classes except for ostriches (coefficient 0.035). In IFS 2020, the coefficients were adjusted accordingly, with turkeys remaining at 0.03, ostriches remaining at 0.35, ducks adjusted to 0.01, geese adjusted to 0.02, and other poultry fowls n.e.c. adjusted to 0.001.
Organic animals While in FSS only fully compliant (certified converted) animals were included, in IFS both animals under conversion and fully converted are included. |
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15.2.6. Reference periods/days | ||||||||||||||||||||||||||||||
See sub-categories below. |
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15.2.6.1. Changes since the last data transmission to Eurostat | ||||||||||||||||||||||||||||||
There have been some changes but not enough to warrant the designation of a break in series | ||||||||||||||||||||||||||||||
15.2.6.2. Description of changes | ||||||||||||||||||||||||||||||
Concerning livestock variables: - In FSS 2016, for cattle, sheep, goats, and poultry, data referred to 1 September 2016 while for pigs the reference date was 1 December 2016. |
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15.2.7. Common land | ||||||||||||||||||||||||||||||
See sub-categories below. |
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15.2.7.1. Changes in the methods to record common land since the last data transmission to Eurostat | ||||||||||||||||||||||||||||||
There have been no changes | ||||||||||||||||||||||||||||||
15.2.7.2. Description of changes | ||||||||||||||||||||||||||||||
Not applicable. |
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15.2.8. Explanations for major trends of main variables compared to the last data transmission to Eurostat | ||||||||||||||||||||||||||||||
- Regarding the non-dairy cows, the increase over 2016 has been confirmed and it is also in line with the administrative data. - For the variables ‘other sheep’ and ‘other goats’, the data has been confirmed and the increase can be attributed to the issue that the data has been collected directly from the farmer while in 2016 administrative data has been used and also the reference date, in 2016 it was 1st September while in 2020 it was 30th September. - The drops in F1100T+F1200T and V0000_S0000TK is attributed to part of the increase in the kitchen garden. - The drop in FA9 can be attributed to the way how the variable was collected in previous years; till 2016 it was asked as total other area of the holding while in 2020, it was asked as a separate variable for both the holding having arable land and those rearing livestock. - The kitchen gardens K0000 is increased, as we are seeing that the number holdings cultivating products for their own consumption is increasing over the years. - The sharp increase of the average worktime of the holding managers in 2020 compared to 2016 is due to a change in the methodology of how data has been collected in both years. Until 2016, we have asked the number of weeks/ months that the person has worked during the year while in 2020 we have asked the total number of hours worked. |
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15.2.9. Maintain of statistical identifiers over time | ||||||||||||||||||||||||||||||
Yes | ||||||||||||||||||||||||||||||
15.3. Coherence - cross domain | ||||||||||||||||||||||||||||||
See sub-categories below. |
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15.3.1. Coherence - sub annual and annual statistics | ||||||||||||||||||||||||||||||
Not applicable to Integrated Farm Statistics, because there are no sub annual data collections in agriculture. |
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15.3.2. Coherence - National Accounts | ||||||||||||||||||||||||||||||
Not applicable, because Integrated Farm Statistics have no relevance for national accounts. |
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15.3.3. Coherence at micro level with data collections in other domains in agriculture | ||||||||||||||||||||||||||||||
See sub-categories below. |
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15.3.3.1. Analysis of coherence at micro level | ||||||||||||||||||||||||||||||
Yes | ||||||||||||||||||||||||||||||
15.3.3.2. Results of analysis at micro level | ||||||||||||||||||||||||||||||
No analysis has been made for crop statistics since for such domain, we use the data collected in the Integrated Farm Statistics. Regarding animal statistics, we have compared the data collected directly from the farmer for the specific reference date with the data used for the animal statistics that was compiled from the administrative source. Basically, there were no big changes between the two datasets. |
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15.3.4. Coherence at macro level with data collections in other domains in agriculture | ||||||||||||||||||||||||||||||
See sub-categories below. |
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15.3.4.1. Analysis of coherence at macro level | ||||||||||||||||||||||||||||||
Yes | ||||||||||||||||||||||||||||||
15.3.4.2. Results of analysis at macro level | ||||||||||||||||||||||||||||||
With regards to the discrepancy in animal data (between Animal statistics and IFS) for A3100, this is related to different reference dates. |
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15.4. Coherence - internal | ||||||||||||||||||||||||||||||
The data are internally consistent. This is ensured by the application of a wide range of validation rules. |
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See sub-categories below. |
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16.1. Coordination of data collections in agricultural statistics | |||
For the Census 2020 that was carried out between October 2020 and February 2021, we have contacted all the farmers, and therefore for this time around we did not coordinate questionnaires of different data collections. This has been done since in the Census we collected data on each and every parcel while in other surveys we collect aggregated data related to all the parcels being worked by the farmer. |
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16.2. Efficiency gains since the last data transmission to Eurostat | |||
Further automation | |||
16.2.1. Additional information efficiency gains | |||
For the Census 2020, we used the CAPI method for data collection and therefore information was transferred every day and there was no need to do data entry from our side since the data was being received directly in our system. |
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16.3. Average duration of farm interview (in minutes) | |||
See sub-categories below. |
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16.3.1. Core | |||
Not available |
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16.3.2. Module ‘Labour force and other gainful activities‘ | |||
Not available |
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16.3.3. Module ‘Rural development’ | |||
Not available |
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16.3.4. Module ‘Animal housing and manure management’ | |||
Not available. |
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17.1. Data revision - policy | |||
Data collected in the Census 2020, is final when it is published and there will not be any revisions. |
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17.2. Data revision - practice | |||
Not applicable. |
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17.2.1. Data revision - average size | |||
Not requested. |
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Annexes: 18.Timetable Statistical Process |
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18.1. Source data | |||
See sub-categories below. |
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18.1.1. Population frame | |||
See sub-categories below. |
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18.1.1.1. Type of frame | |||
List frame | |||
18.1.1.2. Name of frame | |||
Statistical Farm Register |
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18.1.1.3. Update frequency | |||
Annual | |||
18.1.2. Core data collection on the main frame | |||
See sub-categories below. |
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18.1.2.1. Coverage of agricultural holdings | |||
Census | |||
18.1.2.2. Sampling design | |||
Not applicable for 2019/2020. |
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18.1.2.2.1. Name of sampling design | |||
Not applicable | |||
18.1.2.2.2. Stratification criteria | |||
Not applicable | |||
18.1.2.2.3. Use of systematic sampling | |||
Not applicable | |||
18.1.2.2.4. Full coverage strata | |||
Not applicable for 2019/2020. |
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18.1.2.2.5. Method of determination of the overall sample size | |||
Not applicable for 2019/2020. |
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18.1.2.2.6. Method of allocation of the overall sample size | |||
Not applicable | |||
18.1.3. Core data collection on the frame extension | |||
See sub-categories below. |
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18.1.3.1. Coverage of agricultural holdings | |||
Census | |||
18.1.3.2. Sampling design | |||
Not applicable. |
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18.1.3.2.1. Name of sampling design | |||
Not applicable | |||
18.1.3.2.2. Stratification criteria | |||
Not applicable | |||
18.1.3.2.3. Use of systematic sampling | |||
Not applicable | |||
18.1.3.2.4. Full coverage strata | |||
Not applicable |
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18.1.3.2.5. Method of determination of the overall sample size | |||
Not applicable |
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18.1.3.2.6. Method of allocation of the overall sample size | |||
Not applicable | |||
18.1.4. Module “Labour force and other gainful activities” | |||
See sub-categories below. |
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18.1.4.1. Coverage of agricultural holdings | |||
Census | |||
18.1.4.2. Sampling design | |||
Not applicable |
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18.1.4.2.1. Name of sampling design | |||
Not applicable | |||
18.1.4.2.2. Stratification criteria | |||
Not applicable | |||
18.1.4.2.3. Use of systematic sampling | |||
Not applicable | |||
18.1.4.2.4. Full coverage strata | |||
Not applicable. |
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18.1.4.2.5. Method of determination of the overall sample size | |||
Not applicable |
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18.1.4.2.6. Method of allocation of the overall sample size | |||
Not applicable | |||
18.1.4.2.7. If sampled from the core sample, the sampling and calibration strategy | |||
Not applicable | |||
18.1.5. Module “Rural development” | |||
See sub-categories below. |
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18.1.5.1. Coverage of agricultural holdings | |||
Census | |||
18.1.5.2. Sampling design | |||
Not applicable |
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18.1.5.2.1. Name of sampling design | |||
Not applicable | |||
18.1.5.2.2. Stratification criteria | |||
Not applicable | |||
18.1.5.2.3. Use of systematic sampling | |||
Not applicable | |||
18.1.5.2.4. Full coverage strata | |||
Not applicable |
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18.1.5.2.5. Method of determination of the overall sample size | |||
Not applicable |
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18.1.5.2.6. Method of allocation of the overall sample size | |||
Not applicable | |||
18.1.5.2.7. If sampled from the core sample, the sampling strategy and calibration strategy | |||
Not applicable | |||
18.1.6. Module “Animal housing and manure management module” | |||
See sub-categories below. |
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18.1.6.1. Coverage of agricultural holdings | |||
Census | |||
18.1.6.2. Sampling design | |||
Not applicable |
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18.1.6.2.1. Name of sampling design | |||
Not applicable | |||
18.1.6.2.2. Stratification criteria | |||
Not applicable | |||
18.1.6.2.3. Use of systematic sampling | |||
Not applicable | |||
18.1.6.2.4. Full coverage strata | |||
Not applicable |
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18.1.6.2.5. Method of determination of the overall sample size | |||
Not applicable |
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18.1.6.2.6. Method of allocation of the overall sample size | |||
Not applicable | |||
18.1.6.2.7. If sampled from the core sample, the sampling strategy and calibration strategy | |||
Not applicable | |||
18.1.12. Software tool used for sample selection | |||
Not applicable. |
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18.1.13. Administrative sources | |||
See sub-categories below. |
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18.1.13.1. Administrative sources used and the purposes of using them | |||
The information is available on Eurostat's website. |
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18.1.13.2. Description and quality of the administrative sources | |||
See the attached Excel file in the Annex. Annexes: 18.1.13.2 Description_quality_administrative sources |
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18.1.13.3. Difficulties using additional administrative sources not currently used | |||
None | |||
18.1.14. Innovative approaches | |||
The information on innovative approaches and the quality methods applied is available on Eurostat's website. |
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18.2. Frequency of data collection | |||
The agricultural census is conducted every 10 years. The decennial agricultural census is complemented by sample or census-based data collections organised every 3-4 years in-between. |
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18.3. Data collection | |||
See sub-categories below. |
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18.3.1. Methods of data collection | |||
Face-to-face, electronic version Telephone, electronic version |
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18.3.2. Data entry method, if paper questionnaires | |||
Not applicable | |||
18.3.3. Questionnaire | |||
Please find the questionnaire in annex. Annexes: 18.3.3.Questionnaire |
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18.4. Data validation | |||
See sub-categories below. |
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18.4.1. Type of validation checks | |||
Data format checks Completeness checks Comparisons with other domains in agricultural statistics |
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18.4.2. Staff involved in data validation | |||
Supervisors Staff from central department |
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18.4.3. Tools used for data validation | |||
For the data validation, we used primarily Microsoft Access, SPSS and excel. |
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18.5. Data compilation | |||
Not applicable. |
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18.5.1. Imputation - rate | |||
Not applicable. |
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18.5.2. Methods used to derive the extrapolation factor | |||
Not applicable | |||
18.6. Adjustment | |||
Covered under Data compilation. |
|||
18.6.1. Seasonal adjustment | |||
Not applicable to Integrated Farm Statistics, because it collects structural data on agriculture. |
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See sub-categories below. |
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19.1. List of abbreviations | |||
CAP – Common Agricultural Policy CAPI – Computer Assisted Personal Interview CATI – Computer Assisted Telephone Interview CAWI – Computer Assisted Web Interview CoP - Code of Practice ESS - European Statistical System FSS – Farm Structure Survey IACS – Integrated Administration and Control System IFS – Integrated Farm Statistics LSU – Livestock units MAFA - Ministry for Agriculture, Fisheries, Food and Animal NACE – Nomenclature of Economic Activities NSO - National Statistics Office NUTS – Nomenclature of territorial units for statistics PAPI – Paper and Pencil Interview QMF - Quality Management Framework SO – Standard output UAA – Utilised agricultural area |
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19.2. Additional comments | |||
No additional comments. |
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