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For any question on data and metadata, please contact: Eurostat user support |
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1.1. Contact organisation | Statistics Portugal |
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1.2. Contact organisation unit | Economic Statistics Department / Agriculture and Environment Statistics Unit |
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1.5. Contact mail address | Av. António José de Almeida |
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2.1. Metadata last certified | 10/07/2024 | ||
2.2. Metadata last posted | 10/07/2024 | ||
2.3. Metadata last update | 10/07/2024 |
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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 2019/2020 are set in Commission Implementing Regulation (EU) 2018/1874. The following groups of variables are collected in 2019:
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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 2019. |
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3.6.3. Population covered by the data sent to Eurostat for the module “Animal housing and manure management” | |||
The same population of agricultural holdings defined in item 3.6.1. |
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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 | |||
PT Azores - Madeira |
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3.7.3. Criteria used to establish the geographical location of the holding | |||
The main building for production The majority of the area of the holding The most important parcel by physical size The most important parcel by economic size The residence of the farmer (manager) not further than 5 km straight from the farm |
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3.7.4. Additional information reference area | |||
Not available. |
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3.8. Coverage - Time | |||
Farm structure statistics in PT covers the period from 1989 onwards. Older time series are described in the previous quality reports (national methodological reports). |
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3.9. Base period | |||
The 2019 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 reference year 2019. 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 | |||
Not applicable. |
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5.3. Reference day for variables on livestock and animal housing | |||
The reference day was September 1, within the reference year 2019. |
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5.4. Reference period for variables on manure management | |||
The 12-month period ending in October 31, 2019. 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 in October 31, within the reference year 2019. |
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5.6. Reference period for variables on rural development measures | |||
The three-year period ending on December 31, 2019. |
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5.7. Reference day for all other variables | |||
The reference day was October 1, within the reference year 2019. |
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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 | |||
Law nº 22/2008, (Official Journal (OJ) no 92 1st Series, of 13th May 2008) - Law of the National Statistical System: It defines the general basis of the National Statistical System. |
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6.1.3. Link to national legal acts and other agreements | |||
Law nº 22/2008, (Official Journal (OJ) no 92 1st Series, of 13th May 2008) |
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6.1.4. Year of entry into force of national legal acts and other agreements | |||
2008 |
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6.1.5. Legal obligations for respondents | |||
Yes | |||
6.2. Institutional Mandate - data sharing | |||
Not applicable. |
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7.1. Confidentiality - policy | |||
The national legislation provides for the confidentiality of data collected both as regards data on enterprises and on individuals. The principle of statistical confidentiality is thus applied, i.e. individual statistical data cannot be disclosed (Article 6 of Law No 22/2008 of 13 of May). The violation of statistical confidentiality considered as a breach of the obligation of professional secrecy is punishable (Article 32 of Law No 22/2008 of 13 of May). |
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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 | |||
Threshold rule (The number of contributors is less than a pre-specified threshold) | |||
7.2.1.2. Methods to protect data in confidential cells | |||
Cell suppression (Completely suppress the value of some cells) | |||
7.2.1.3. Description of rules and methods | |||
The IFS promotes the most extensive possible use of information, while ensuring compliance with the NSS Law. The analysis made to the variables collected in IFS and their mostly physical nature prevents the respective agricultural holders from being in any way identified. Moreover, there are variables such as crop area (in the case of temporary crops, as the name indicates, they vary every year depending on market and weather conditions during the crop year, and, in the case of permanent crops, they vary depending on the options taken by farmers at a given moment, with new planting or grubbing-up, etc.), which, due to its variability, do not allow for the identification of any holder. Information on livestock is under the same conditions: due to seasonality throughout the crop year, arising either from the productive cycle or from demand peaks on feast days (Christmas, Easter, etc.), it reveals significant changes in total livestock over the year. Also, agricultural labour is not subject to secrecy, given that it is collected and made available in groups, according to the legislation in force (Article 6 (4) (b) of the NSS Law). For dissemination at parish level and for some variables, cells are suppressed if the number of holdings is less than 3. |
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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 | |||
Removal of variables | |||
7.2.2.3. Description of methodology | |||
The academic community has special requirements as regards statistical data, especially in terms of the development of research and preparation of Masters and PhD theses. |
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8.1. Release calendar | |||
In Statistics Portugal there is a release calendar in our web portal (31 March 2021). |
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8.2. Release calendar access | |||
https://www.ine.pt/xportal/xmain?xpid=INE&xpgid=ine_calendarios&xlang=en |
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8.3. Release policy - user access | |||
Statistical data are a key asset in today society, and an essential tool in supporting the most relevant decision-making processes, both at the public and private level, and in carrying out analyses and research.
Statistical data are therefore of great interest to public and private decision-makers, politicians, economic agents, analysts and researchers, paving the way for all individuals to gain more awareness of their citizenship.
Data dissemination, which is a key stage of statistical activity, is instrumental in implementing and highlighting strict compliance with the mission of statistical authorities.
The Dissemination policy of Statistics Portugal lays down the fundamental principles governing the dissemination of official statistics, directly or indirectly produced under its responsibility. It should have as main reference the applicable principles of the National Statistical System: technical independence, statistical confidentiality, quality and accessibility.
In accordance with provision 15, Chapter B of the Dissemination Policy, prior access, under embargo, to official statistical data is granted (at around 9 am of the release day) to the Directors of Madeira and Azores Regional Statistics Offices, when data allow for NUTS 2 breakdown.
There were no deviations of this policy in IFS.
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8.3.1. Use of quality rating system | |||
Yes, the EU quality rating system | |||
8.3.1.1. Description of the quality rating system | |||
The methodology is described in the EU handbook. |
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Every 10 years for census but every 3-4 years to all IFS/FSS. |
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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 | |||
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, but not in English | |||
10.2.3. Title, publisher, year and link | |||
Agriculture Census - 2019, Statistics Portugal, issue year 2021 |
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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 applicable |
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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 | |||
Yes | |||
10.6.3. Title, publisher, year and link to national reference metadata | |||
Title - Methodological document (DMET) - Agricultural census 2019 Publisher - Statistics Portugal (INE-PT)/Department of Economic Statistics/Agriculture and Environment Statistics Office DMET version into force date: October 2019 Please see the annex. https://smi.ine.pt/DocumentacaoMetodologica?clear=True Annexes: 10.6.3. PT methodological report |
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10.6.4. Availability of national handbook on methodology | |||
Yes | |||
10.6.5. Title, publisher, year and link to handbook | |||
Title - Manual de Instruções Publisher - Statistics Portugal Year - 2019 Please see the annexes. Annexes: 10.6.5. Manual de Instruções da Região Autónoma da Madeira 10.6.5. Manual de Instruções da Região Autónoma dos Açores 10.6.5. Manual de Instruções do Continente |
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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 | |||
Within the statistical production process of Statistics Portugal, any statistical operation should be certified through a methodological dossier validated by the whole organisational structure of Statistics Portugal ensuring compliance with the European Statistics Code of Practice (see the document attached). Annexes: 10.7. Agricultural Census 2019 Methodological Dossier - PT |
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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 Benchmarking Designated quality manager, quality unit and/or senior level committee Compliance monitoring Peer review External review or audit Certification |
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11.1.3. Description of the quality management system and procedures | |||
Statistics Portugal has a quality management system in place following, whenever convenient, the principles of the ISO 9001:2015 Standard, and having adopted a systematic and process-oriented approach in accordance with the Plan-Do-Check-Act cycle. This system comprises a wide range of instruments, methods, and activities covering process documentation, performance assessment, and user relations. SP is part of the European Statistical System (ESS) and has adopted the European Statistics Code of Practice, since its first edition (2005), as firm guidance for the success of its mission. Since its last revision (November 2017), the Code comprises the Quality Declaration of the European Statistical System, 16 Principles and 84 indicators of best practices and standards for each of the Principles, defining the European benchmarks for the statistical activity, covering the institutional environment, statistical processes, and statistical outputs. For further details on quality assurance at Statistics Portugal, please see the following link: https://www.ine.pt/xportal/xmain?xpid=INE&xpgid=ine_qualidade&xlang=en |
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11.1.4. Improvements in quality procedures | |||
Here are some examples of recent or ongoing quality assurance activities:
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11.2. Quality management - assessment | |||
Not available. |
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12.1. Relevance - User Needs | |||
Agriculture Ministry, Environmental Ministry, Farm Associations, public administration in general. the main purposes are related to draw/redraw policies (namely agricultural, regional, territorial cohesion, rural development, environmental) with sound, relevant and timeliness data. |
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12.1.1. Main groups of variables collected only for national purposes | |||
The IFS was structured to make it possible to provide information on the characteristics defined for the farm structure survey (general characteristics, crop areas, livestock, agricultural buildings and structures, agricultural population and labour force, other non-agricultural activities and measures to support rural development). |
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12.1.2. Unmet user needs | |||
All users' needs are 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 | |||
Not applicable |
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12.2.1. User satisfaction survey | |||
No | |||
12.2.2. Year of user satisfaction survey | |||
Not applicable |
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12.2.3. Satisfaction level | |||
Not applicable | |||
12.3. Completeness | |||
Information on low- and zero prevalence variables is available 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. The data collection was based entirely on census. |
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13.2.2. Reasons for non-compliant precision requirements in relation to Regulation (EU) 2018/1091 | |||
Not applicable. |
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13.2.3. Methodology used to calculate relative standard errors | |||
Not applicable. |
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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 Ceased activities Merged to another unit Duplicate units |
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13.3.1.1.2. Actions to minimize the over-coverage error | |||
Removal of ineligible units from the records, leaving unchanged the weights for the other units | |||
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 | |||
Not available. |
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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) | |||
New births New units derived from split Units with outdated information in the frame (variables below thresholds in the frame but above thresholds in the reference period) |
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13.3.1.3.3. Actions to minimise the under-coverage error | |||
The holders were asked about their holding neighbours whose identification was checked in the frame list. Local authorities were also consulted to provide identification of the new holders. |
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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 available/Not applicable. |
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13.3.1.5. Contact error | |||
Yes | |||
13.3.1.5.1. Actions to minimise the contact error | |||
Cross-check with administrative registers |
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13.3.1.6. Impact of coverage error on data quality | |||
Unknown | |||
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 | |||
PT considers that variables are not affected by measurement errors. |
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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 | |||
Other | |||
13.3.2.4. Impact of measurement error on data quality | |||
Unknown | |||
13.3.2.5. Additional information measurement error | |||
The methodology used to avoid/minimise incorrect and/or incomplete data included: • Interview techniques (interpretation of the questions) – questions would be posed to the interviewee in a way to avoid personal interpretations; |
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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 | |||
Failure to identify the unit Failure to make contact with the unit Refusal to participate Inability to participate (e.g. illness, absence) |
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13.3.3.1.2. Actions to minimise or address unit non-response | |||
Reminders Legal actions |
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13.3.3.1.3. Unit non-response analysis | |||
Statistics Portugal doesn't carry out a non-response analysis. |
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13.3.3.2. Item non-response - rate | |||
For the mandatory variables, Statistics Portugal doesn't carry out any analysis. However, it is possible for two of the non-mandatory variables (volume of water for irrigation and for animal production) to estimate the non-response rate. |
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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 | |||
Refusal Farmers do not know the answer |
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13.3.3.2.3. Actions to minimise or address item non-response | |||
Follow-up interviews | |||
13.3.3.3. Impact of non-response error on data quality | |||
Unknown | |||
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 Coding |
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13.3.4.2. Imputation methods | |||
None | |||
13.3.4.3. Actions to correct or minimise processing errors | |||
Validation rules, actions by central office of monitoring assessment, analysis from supervisors of field chain. |
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13.3.4.4. Tools and staff authorised to make corrections | |||
Our IT system allows several levels of corrections, but only at a regional or central level it is possible to validate the corrections. |
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13.3.4.5. Impact of processing error on data quality | |||
Unknown | |||
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 | |||
Time lag – first results: 12 months. |
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14.1.2. Time lag - final result | |||
Time lag – final results: 15 months. |
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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 | |||
0 days |
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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 | ||||||||||||||||||||||||||||||
No deviations. |
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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 | ||||||||||||||||||||||||||||||
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15.1.3.2. Differences between the national thresholds and the thresholds used for the data sent to Eurostat | ||||||||||||||||||||||||||||||
No differences. |
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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 | ||||||||||||||||||||||||||||||
No deviations. |
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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 | ||||||||||||||||||||||||||||||
No deviations. |
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15.1.4.1.5. Livestock included in “Other livestock n.e.c.” | ||||||||||||||||||||||||||||||
No deviations. For PT this variable is flagged M (variable does not exist - true zero). |
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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 | ||||||||||||||||||||||||||||||
No deviations. |
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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 exists | ||||||||||||||||||||||||||||||
15.1.6.1. Collection of common land data | ||||||||||||||||||||||||||||||
Yes | ||||||||||||||||||||||||||||||
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 | ||||||||||||||||||||||||||||||
Common land is included in the land of entities meeting the definition of agricultural holdings, having own managers. | ||||||||||||||||||||||||||||||
15.1.6.4. Source of collected data on common land | ||||||||||||||||||||||||||||||
Surveys | ||||||||||||||||||||||||||||||
15.1.6.5. Description of methods to record data on common land | ||||||||||||||||||||||||||||||
As any other holding. |
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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 deviations. |
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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 | ||||||||||||||||||||||||||||||
No differences. |
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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 | ||||||||||||||||||||||||||||||
No time series break since 1989. |
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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 no changes | ||||||||||||||||||||||||||||||
15.2.3.2. Description of changes | ||||||||||||||||||||||||||||||
Not applicable. |
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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 trigger fluctuations of holdings in the classes of sole holder holdings and group holdings.
Other livestock n.e.c. 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 to be 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 no changes | ||||||||||||||||||||||||||||||
15.2.6.2. Description of changes | ||||||||||||||||||||||||||||||
Not applicable. |
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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 | ||||||||||||||||||||||||||||||
|
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15.2.9. Maintain of statistical identifiers over time | ||||||||||||||||||||||||||||||
No | ||||||||||||||||||||||||||||||
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 | ||||||||||||||||||||||||||||||
No | ||||||||||||||||||||||||||||||
15.3.3.2. Results of analysis at micro level | ||||||||||||||||||||||||||||||
Not applicable. |
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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 | ||||||||||||||||||||||||||||||
Following the usual procedures, Portugal will integrate the IFS data into the other domains, namely crops and livestock statistics. It is expected that large variations will significantly decrease. |
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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 | |||
The co-ordination is made by the field chain (interviewers) since field work is distributed previously taking into account the location of the farm. Since 95% of the holdings have holders which are natural persons, there are few cases where the respondents have to answer multiple questionnaires with the same kind of questions. |
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16.2. Efficiency gains since the last data transmission to Eurostat | |||
Further automation Further training |
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16.2.1. Additional information efficiency gains | |||
Not available. |
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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 | |||
As a rule, data in IFS are not subject to revisions. |
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17.2. Data revision - practice | |||
Not relevant. |
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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 | |||
Base de Amostragem Agrícola |
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18.1.1.3. Update frequency | |||
Less frequent | |||
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 |
|||
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 |
|||
18.1.4.2.5. Method of determination of the overall sample size | |||
Not applicable |
|||
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. |
|||
18.1.5.1. Coverage of agricultural holdings | |||
Census | |||
18.1.5.2. Sampling design | |||
Not applicable |
|||
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 |
|||
18.1.5.2.5. Method of determination of the overall sample size | |||
Not applicable |
|||
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. |
|||
18.1.6.1. Coverage of agricultural holdings | |||
Census | |||
18.1.6.2. Sampling design | |||
Not applicable |
|||
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 |
|||
18.1.6.2.5. Method of determination of the overall sample size | |||
Not applicable |
|||
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 | |||
Statistics Portugal doesn't use administrative sources. |
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18.1.13.2. Description and quality of the administrative sources | |||
Statistics Portugal doesn't use administrative sources. |
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18.1.13.3. Difficulties using additional administrative sources not currently used | |||
Problems related to data quality of the source Risk concerning the stability of the source to political changes Other |
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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, non-electronic version | |||
18.3.2. Data entry method, if paper questionnaires | |||
Manual | |||
18.3.3. Questionnaire | |||
Please find the questionnaire in annex. Annexes: 18.3.3. Questionário Continente_Versão PT 18.3.3. Questionário Região Autónoma dos Açores_versão PT 18.3.3. Questionário Região Autónoma da Madeira_versão PT 18.3.3. Questionário Continente_Versão EN 18.3.3. Questionário Região Autónoma dos Açores_versão EN 18.3.3. Questionário Região Autónoma da Madeira_versão EN |
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18.4. Data validation | |||
See sub-categories below. |
|||
18.4.1. Type of validation checks | |||
Data format checks Completeness checks Routing checks Range checks Relational checks Data flagging Comparisons with previous rounds of the data collection Comparisons with other domains in agricultural statistics |
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18.4.2. Staff involved in data validation | |||
Interviewers Supervisors Staff from local departments Staff from central department |
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18.4.3. Tools used for data validation | |||
IT tools |
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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. |
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18.6.1. Seasonal adjustment | |||
Not applicable to Integrated Farm Statistics, because it collects structural data on agriculture. |
|
|||
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 FSS – Farm Structure Survey IACS – Integrated Administration and Control System IFS – Integrated Farm Statistics LSU – Livestock units NACE – Nomenclature of Economic Activities NUTS – Nomenclature of territorial units for statistics PAPI – Paper and Pencil Interview SO – Standard output SP – Statistics Portugal UAA – Utilised agricultural area |
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19.2. Additional comments | |||
Too burdensome. Please streamline in further waves. |
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