Reference metadata describe statistical concepts and methodologies used for the collection and generation of data. They provide information on data quality and, since they are strongly content-oriented, assist users in interpreting the data. Reference metadata, unlike structural metadata, can be decoupled from the data.
All characteristics are describe since we have in the country
3.2. Classification system
As required
3.3. Coverage - sector
All agriculture pretended
3.4. Statistical concepts and definitions
All values are the most frequently
3.5. Statistical unit
Eurostat, DGAgri
3.6. Statistical population
Sample of population
3.7. Reference area
Portugal by NUTS and inside portugal as agrarian region
3.8. Coverage - Time
2018;2019;2020;2021;2022
3.9. Base period
Not requested for this reference year.
Euros
2020
6.1. Institutional Mandate - legal acts and other agreements
Tipology DGAgri; IFS Eorostat
6.2. Institutional Mandate - data sharing
Not requested for this reference year.
7.1. Confidentiality - policy
no problem
7.2. Confidentiality - data treatment
No problem
8.1. Release calendar
31th december
8.2. Release calendar access
Not requested for this reference year.
8.3. Release policy - user access
No policy
3 years
10.1. Dissemination format - News release
Not requested for this reference year.
10.2. Dissemination format - Publications
Not requested for this reference year.
10.3. Dissemination format - online database
Not requested for this reference year.
10.3.1. Data tables - consultations
Not requested for this reference year.
10.4. Dissemination format - microdata access
Not requested for this reference year.
10.5. Dissemination format - other
in the site of ministery
10.5.1. Metadata - consultations
Not requested for this reference year.
10.6. Documentation on methodology
See met report
10.6.1. Metadata completeness - rate
Not requested for this reference year.
10.7. Quality management - documentation
Not requested for this reference year.
11.1. Quality assurance
Using a manual to give headlines to same procedures and training courses. The values are compare among the regions by audit, after self-assessment and peer review.
11.2. Quality management - assessment
Not requested for this reference year.
12.1. Relevance - User Needs
As the REG. asked
12.2. Relevance - User Satisfaction
no collect
12.3. Completeness
All the produtcs existing are values collected
12.3.1. Data completeness - rate
all =1
13.1. Accuracy - overall
the producers had different access to the markets and central markets and that could decrease some prices
13.2. Sampling error
Not requested for this reference year.
13.2.1. Sampling error - indicators
Not requested for this reference year.
13.3. Non-sampling error
the coverage is always done so that there are no errors
13.3.1. Coverage error
Not requested for this reference year.
13.3.1.1. Over-coverage - rate
Not requested for this reference year.
13.3.1.2. Common units - proportion
Not requested for this reference year.
13.3.2. Measurement error
Not requested for this reference year.
13.3.3. Non response error
Not requested for this reference year.
13.3.3.1. Unit non-response - rate
Not requested for this reference year.
13.3.3.2. Item non-response - rate
Not requested for this reference year.
13.3.4. Processing error
Not requested for this reference year.
13.3.5. Model assumption error
Not requested for this reference year.
14.1. Timeliness
half a year
14.1.1. Time lag - first result
Not requested for this reference year.
14.1.2. Time lag - final result
Not requested for this reference year.
14.2. Punctuality
i don't know
14.2.1. Punctuality - delivery and publication
Not requested for this reference year.
15.1. Comparability - geographical
It is not clear and easy to check SOC 2020 vs 2017 because the NUTS 2, as we sent you the SOC 2020, have changed (as illustrated in chapter 15.2
When compared PT SOC with those of neighbouring regions, from the same country or from neighbouring countries, it should be taken into consideration the homogeneous zones. Therefore PT can have deviations because the systems vary: irrigated area and not irrigated area, near or far from the sea, mountain or not.
On the other hand, PT does not calculate SOC as an aggregation of a total when we have the details, this could create huge deviation when comparing some national SOC with those of neighboring countries (for example F0000T of PT vs ES).
15.1.1. Asymmetry for mirror flow statistics - coefficient
Not requested for this reference year.
15.2. Comparability - over time
There are remarkable changes because we have split NUTS 2 once and then split them again: the “Ribatejo e Oeste” region with very intensive productions systems and several types of irrigation systems, very intensive labour and different types of cultures, varieties, densities of plantation; the same happens with livestock production, with stabled animals, mixed and extensive production, high livestock density and mechanical operations.
Portugal has 7 Agrarian regions in the mainland and 2 Autonomous Agrarian Regions in the Islands: Azores and Madeira.
All the SOC data are determined and organized by agrarian regions using sources available in these regions, because in each there is a Regional Directorate of Agriculture from the Ministry of Agriculture (Mainland) and a Secretary of Agriculture (Islands) with technical staff, data, experts and so on, important to determine the SOC (Table 1). The Portugal NUTS are not a real unit in our country, so we have to design a way to make it possible as required by NUTS 2.
Table 1- SOC data by agrarian regions
After all, these data could be used for internal issues and political measures. The determination of SOC 2017, the way to make NUTS 2 was using area and number of animals of FSS2016 to weigh the SOC from agrarian regions and pass through NUTS 2 as shown in Table2.
We have split the “Ribatejo e Oeste” in 3 sub-agrarian regions and we have moved them to and weighed them in other NUTS, such as Centro and Alentejo (Table 2).
Table 2- Agrarian Regions and Conversion in NUTS 2 for 2017
For SOC 2020, the way to make NUTS 2 was using area and number of animals of IFS 2019 (Agricultural Census) to weigh the SOC from agrarian regions and pass through the new NUTS 2 from a new organization provided for 2024 (Commission Delegated Regulation (EU) 2023/674 of 26 December 2022 amending the Annexes to Regulation (EC) No 1059/2003 of the European Parliament and of the Council on the establishment of a common classification of units territorial statistics (NUTS).
The Agrarian Region “Ribatejo e Oeste” has now 4 sub-agrarian regions and we have left the old NUTS Centro e Alentejo and created 3 new NUTS, as shown in Table 3.
Table 3- Agrarian Regions and Conversion in NUTS 2 for SOC 2020
Furthermore, we have various problems with crops without irrigation with low yields/productivity, problems with general inflation, with COVID 19, as we were first confined at home without delivery of some products to the market, then there was a huge price increase, and later there was the Ukraine war.
15.2.1. Length of comparable time series
no problem
15.3. Coherence - cross domain
Not requested for this reference year.
15.3.1. Coherence - sub annual and annual statistics
Not requested for this reference year.
15.3.2. Coherence - National Accounts
Not requested for this reference year.
15.4. Coherence - internal
Not requested for this reference year.
no cost and burden exercise has been elaborated
17.1. Data revision - policy
No revisions
17.2. Data revision - practice
No revisions
17.2.1. Data revision - average size
Not requested for this reference year.
18.1. Source data
data from five years
18.2. Frequency of data collection
yearly
18.3. Data collection
Not requested for this reference year.
18.4. Data validation
crossing data from several data from others
18.5. Data compilation
Not requested for this reference year.
18.5.1. Imputation - rate
Not requested for this reference year.
18.6. Adjustment
Not requested for this reference year.
18.6.1. Seasonal adjustment
Not requested for this reference year.
Data sources used in SOC are describe below
Agric= Farmers, producers Tec= Technical Staff DRAP=Agriculture Regional Directory of Ministry of Agriculture(MA) ; there are one in each Agrarian Region) QPV= Matrix of Agriculture Production elaborated by DRAP SIMA= Market Prices of Agriculture System elaborated by DRAP Expert= Expert of different organizations RICA= FADN Assoc= Farmers' Association PDR= Rural Development Program Efec Ani= Animal Statistics (NSI) COOP= Farmers' cooperative of fruits, Olives' presses cooperative OP= Producers' organization DRAS= Agriculture Regional Directory of Azores Island DRADR=Agriculture Regional Directory of Madeira Island Casas Comerciais= Agroshops SREA(RA2019)=IFS 2019 by Regional SI of Azores Island DREM= Regional SI of Madeira Island Perimetros Rega= Watering perimeter association Adegas= Wine House, wineries IACS= IACS GPP= Gabinet of Planning and Politics-Ministry of Agriculture Estimated= Calculated with other information DSAV= Regional dep. of animal and veterinary of Madeira Island Industry= Companies of Frozen Industry of Vegetables BOOK= Genealogic books VIV= Nurseries IVDP= Institute of Port Wine
All characteristics are describe since we have in the country
6 March 2024
All values are the most frequently
Eurostat, DGAgri
Sample of population
Portugal by NUTS and inside portugal as agrarian region
2020
the producers had different access to the markets and central markets and that could decrease some prices
Euros
Not requested for this reference year.
data from five years
3 years
half a year
It is not clear and easy to check SOC 2020 vs 2017 because the NUTS 2, as we sent you the SOC 2020, have changed (as illustrated in chapter 15.2
When compared PT SOC with those of neighbouring regions, from the same country or from neighbouring countries, it should be taken into consideration the homogeneous zones. Therefore PT can have deviations because the systems vary: irrigated area and not irrigated area, near or far from the sea, mountain or not.
On the other hand, PT does not calculate SOC as an aggregation of a total when we have the details, this could create huge deviation when comparing some national SOC with those of neighboring countries (for example F0000T of PT vs ES).
There are remarkable changes because we have split NUTS 2 once and then split them again: the “Ribatejo e Oeste” region with very intensive productions systems and several types of irrigation systems, very intensive labour and different types of cultures, varieties, densities of plantation; the same happens with livestock production, with stabled animals, mixed and extensive production, high livestock density and mechanical operations.
Portugal has 7 Agrarian regions in the mainland and 2 Autonomous Agrarian Regions in the Islands: Azores and Madeira.
All the SOC data are determined and organized by agrarian regions using sources available in these regions, because in each there is a Regional Directorate of Agriculture from the Ministry of Agriculture (Mainland) and a Secretary of Agriculture (Islands) with technical staff, data, experts and so on, important to determine the SOC (Table 1). The Portugal NUTS are not a real unit in our country, so we have to design a way to make it possible as required by NUTS 2.
Table 1- SOC data by agrarian regions
After all, these data could be used for internal issues and political measures. The determination of SOC 2017, the way to make NUTS 2 was using area and number of animals of FSS2016 to weigh the SOC from agrarian regions and pass through NUTS 2 as shown in Table2.
We have split the “Ribatejo e Oeste” in 3 sub-agrarian regions and we have moved them to and weighed them in other NUTS, such as Centro and Alentejo (Table 2).
Table 2- Agrarian Regions and Conversion in NUTS 2 for 2017
For SOC 2020, the way to make NUTS 2 was using area and number of animals of IFS 2019 (Agricultural Census) to weigh the SOC from agrarian regions and pass through the new NUTS 2 from a new organization provided for 2024 (Commission Delegated Regulation (EU) 2023/674 of 26 December 2022 amending the Annexes to Regulation (EC) No 1059/2003 of the European Parliament and of the Council on the establishment of a common classification of units territorial statistics (NUTS).
The Agrarian Region “Ribatejo e Oeste” has now 4 sub-agrarian regions and we have left the old NUTS Centro e Alentejo and created 3 new NUTS, as shown in Table 3.
Table 3- Agrarian Regions and Conversion in NUTS 2 for SOC 2020
Furthermore, we have various problems with crops without irrigation with low yields/productivity, problems with general inflation, with COVID 19, as we were first confined at home without delivery of some products to the market, then there was a huge price increase, and later there was the Ukraine war.
