Vineyard (vit)

National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS)

Compiling agency: EL.STAT. (Hellenic Statistical Authority)


Eurostat metadata
Reference metadata
1. Contact
2. Statistical presentation
3. Statistical processing
4. Quality management
5. Relevance
6. Accuracy and reliability
7. Timeliness and punctuality
8. Coherence and comparability
9. Accessibility and clarity
10. Cost and Burden
11. Confidentiality
12. Comment
Related Metadata
Annexes (including footnotes)
 



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1. Contact Top
1.1. Contact organisation

EL.STAT. (Hellenic Statistical Authority)
1.2. Contact organisation unit

Agriculture, Livestock, Fishery and Environment Statistics Division (B2)

Agricultural Input-Output and Indices Section (B23)
1.5. Contact mail address

Pireos 46 & Eponiton

18510 Piraeus

Greece


2. Statistical presentation Top
2.1. Data description

The vineyard data set includes data on the structure of vineyards in the European Union. It covers the holdings growing vines intended to produce grapes for other purposes than table grapes or growing plants for vegetative propagation of before mentioned vines and the area covered by these vines.  The data concerns the vine types, degree of specialisation of vine-grower holdings, main varieties of grapes and age of plants. Some indicators are collected at national level, others a NUTS2 level.  The data are extracted from the vineyard register. The Member States, which have more than 500 ha of vines for other purpose than table grape production need to collect the data.

The reference year of the data described in this report is the year 2020.
2.2. Classification system

The classification system used in the vineyard data has several dimensions:  type of vineyards, degree of specialisation of the holding, main varieties (> 500 ha t national level), age of plants and size classes of holdings. More information can be found in the Handbook.
2.3. Coverage - sector

Growing of grapes for other purposes than table grapes (mainly for wine, juice, raisins) (part of NACE rev.  2 classification of A01.21: growing of grapes) and plant propagation for vines (part of NACE rev.  2 classification of A01.30: plant propagation).
2.4. Statistical concepts and definitions

Statistical characteristics of observations

Data refer to vineyard parcels.
Is there a national legislation covering structural vineyard statistics? NO
Name of the legislation
If yes, provide a link
Scope and coverage of the legislation
Responsable organisation for the legislation
Precision requirements 
Does the national legal frame foresee the use of the vineyard register?  YES
2.5. Statistical unit

Number of holdings growing vines intended to produce grapes for other purposes than table grapes or growing plants for vegetative propagation of before mentioned vines and the area covered by these vines in hectares.
2.6. Statistical population

All holdings growing vines intended to produce grapes for other purposes than table grapes or growing plants for vegetative propagation of before mentioned vines, having an area bigger than 0.1 hectares registered in the vineyard register.
2.7. Reference area

Greece
2.8. Coverage - Time

When was the first (regular) structural vineyard survey / data collection organised?

Year 1982, based on (EEC) 357/79.

 
Frequency of the data collection (if there was one) before 1979 or before EU membership?

Data on the area and production of vineyards are collected every year, since reference year 1961, through the Annual Statistical Agricultural Survey. The survey is conducted for national reasons in order to collect statistical data on the cultivated areas under several crops and on the production of agricultural and livestock products, as well as the agricultural machinery used. The legal frame for the survey is the Royal Decree No 111/15-2-1962. The statistical unit of the annual agricultural survey is the land area (not the holding), which is included within the administrative boundaries of every Municipal/Local Community of Greece and it is a census survey. The survey covers all the Departments (NUTS 3) and the Municipal / Local Communities (LAU 2) of Greece.

 
If not regularly, in which years the vineyards have been surveyed ?
2.9. Base period

Not applicable


3. Statistical processing Top
3.1. Source data

Is the register maintained at national or regional level? Regional                                
  Register 1 Register 2 Register 3 Register 4 Register 5 Register 6 Register 7 Register 8 Register 9 Register 10 Register 11 Register 12 Register 13 Register 14 Register 15 Register 16 Register 17
Name of the register(s)

Geographic Information System for the Olive Sector and the Vineyard Register (GIS-OS & VR)

 
Data owner (organisation)

Ministry of Rural Development and Food

Directorate General of Administrative Services and E-Governance

Directorate of E-Governance

 
Contact information of the register authority (email and phone number)

tglezakos@minagric.gr

+0030 210 2125391

 

 
Legal basis

The maintenance of the vineyard register is required on the basis of  the vineyard area regulations: 479/2008 436/2009, 555/2008, 1308/2013 and 2015/560, 2015/561

 
Does the register contain parcel level data? YES
Are the parcels belonging to the same holder grouped under the same holding-id in the register? No, but could be grouped with small effort
Is the holding geo-referenced with co-ordinates? Yes, at parcel level
How is the vineyard holding identified in the register? Unique ID of the holder
Were all variables taken from vineyard register? NO
If no, which variables were not taken from the register?

The classification of the parcel into PDO or PGI

 
Why were they not taken from the register? Data were not of sufficient quality
For what purpose the ancillary data sources were used? Data validation
If other, which was the purpose?


Were other ancillary data sources used? YES  
If yes, which ones? Data source  Type of data source
Name of the data source 1

Ministry of Rural Development and Food

Directorate General of Agriculture

Directorate of Propagating Material of Cultivated Plant Species and Plant Genetic Resources

Section of Propagating Material of Trees and Vines

 

 Administrative source
Name of the data source 2
Name of the data source 3


Additional comments

Data on PDO and PGI were not of sufficient quality according to the responsible authority and were not transmitted to ELSTAT. The identification of PDO and PGI was a task undertaken by ELSTAT (see 6.3.3). 

Data on the propagation material of vines from an ancillary source were used for crosschecking.

 
3.2. Frequency of data collection

The structural statistics on vineyards governed by Regulation (EU) No 1337/2011 are collected every 5 years. The first data collection took place in 2015. The second and last one was carried out in 2020.
3.3. Data collection

How easy was it  to get access to the vineyard register data (administrative access)?  
The data provider has direct constant access to the vineyard register
Access was granted upon a simple request
Access was granted after some negotiations
Access was granted after lenthy negotiations 
Access was not granted
Were the data from the vineyard register integrated into a statistical holding register? NO
If not, what were the reasons for not doing that?  
There was no need for such an operation
It was not technically possible because of lack of common identifier
It was not feasible due to data protection issues
It was considered too expensive
Other reasons


Additional comments

Vineyard register data were used for comparison and updating of ELSTAT statistical farm register.

ELSTAT keeps a statistical farm register which is the frame for all agricultural surveys. This register results from the agricultural census which is conducted every 10 years and is updated on the basis of the annual agricultural surveys and the FSS.

This register is also updated using information from administrative sources such as, the Ministry of Rural Development and Food (organic farming register, new farmers register, olive cultivation register and vineyard register) and OPEKEPE - Payment and Control Agency for Guidance and Guarantee Community Aid (IACS).

 
3.4. Data validation

Which kind of data validation measures are in place? Automatic and Manual
What do they target?  
Unit completeness
Item completeness
Valid value
Time series ranges (outlier detection)
Relational checks between characteristics
Arithmetic calculations (e.g. correctness of aggregates)
Others
Is the data cross-validated against another dataset? YES
If yes, which dataset?  
Previous results of vineyard statistics
Annual crop statistics area data
FSS data 
Other dataset

Annual Statistical Agricultural Survey (National survey).

Data on the propagation material of vines from an ancillary source (see 3.1) were also used for crosschecking vineyard register data.

 


Additional comments
3.5. Data compilation

Not available.
3.6. Adjustment

Not applicable.


4. Quality management Top
4.1. Quality assurance

Is there a quality management process in place for vineyard statistics? YES
If yes, what are the components?

ELSTAT has performed a number of quality checks for data validation.

 
Was the authority responsible for the vineyard register involved in the quality assurance of the vineyard data? YES
If yes, which data quality improvement actions were proposed to be done to the vineyard register?  
Improvement of coverage of the register (elimination of over-coverage)
Improvement of the coverage of the register (elimination of under-coverage)
Elimination of multiple listings
More frequent updates
Inclusion of new characteristics in the register
Improving the identification of the holding
Other improvement actions

More controls for the correction of incorrect data entry of some characteristics of the register, as for example the planting years.

 
   
Is there a Quality Report available? NO
If yes, please provide a link
   
Has a peer-review been carried out for vineyard statistics? NO
If yes, which were the main conclusions?
What quality improvement measures are planned for the next 5 years?  
Improvement of the vineyard register
Improvement of data validation
Further automation
Quality Report
Peer review
Other


Additional comments

The answer "NO" to the question about the availability of a Quality Report, concerns the Vineyard Register kept by the Ministry of Rural Development and Food.

Quality reports for vineyard statistics are available on ELSTAT’s website (see 9.7).

In November 2014 Eurostat has carried out a peer-review for ELSTAT. The peer-review was related to the compliance of the Authority with the European Statistics Code of Practice (CoP). No specific domain of statistics was covered.

 
4.2. Quality management - assessment

   Grading  Comments
How would you describe the overall quality of the structural vineyard statistics?  Satisfactory

The main factors affecting the overall quality are the accuracy and the comparability.

How would you describe the relevance of the structural vineyard statistics?  Very good
How would you describe the accuracy of the structural vineyard statistics?  Satisfactory

Coverage errors and incorrect data entry of some characteristics have an impact on the accuracy of the results.

 
How would you describe the comparability of the structural vineyard statistics with other agricultural statistics, e.g. FSS and Annual Crop Statistics?  Satisfactory

Due to the different methodology applied from the various sources, data are not fully comparable (see 8.3).

 
How would you describe the coherence (over time) of the structural vineyard statistics?  Satisfactory

Due to the different data collection methods between previous years and 2015-2020 statistics (surveys versus administrative data), data are not fully coherent over time.

 
How would you describe the coherence (across regions in your country) of the structural vineyard statistics?  Very good

 

 
How would you describe the accessibility of the structural vineyard statistics?  Very good
How would you describe the clarity of the structural vineyard statistics?  Very good


Additional comments


5. Relevance Top
5.1. Relevance - User Needs

Is the structural vineyard data necessary at national level? YES
Does Regulation 1337/2011 meet the national structural vineyard data needs? YES
If not, did you add additional characteristics which are needed at national level added to the EU-level list of characteristics? NO
If yes, which ones?
Are there further known unmet user needs? NO
If yes, describe the unmet needs


Additional comments
5.2. Relevance - User Satisfaction

Has a user satisfaction survey been done? YES
If yes, how satisfied were the users? Highly satisfied


Additional comments

In order to fulfill the need of Greek users, ELSTAT carries out a User Survey. The data from this survey are posted on the portal of ELSTAT:

http://www.statistics.gr/en/user-satisfaction-survey

In addition, according to ELSTAT’s general policy the user needs are expressed in user conferences conducted at regular intervals: http://www.statistics.gr/en/user-conference

ELSTAT also records the user needs through the everyday communication between the institution and the users. ELSTAT compiles its annual programs as well as the 3-year program of the Hellenic Statistical System setting as a goal the satisfaction of users needs.

 
5.3. Completeness

Is the vineyard data set complete? YES
If not, which characteristics are missing?


Are all main varieties (> 500ha at natioanl level) listed by name in Table 4? YES  
If not, give the name and area of the main varieties included in class other main red grape varieties Name Area (ha) 
Variety 1
Variety 2
Variety 3
Variety 4
Variety 5
Variety 6
Variety 7
Variety 8
Variety 9
Variety 10
If not, give the name and area of the main varieties included in class other main white grape varieties Name Area (ha) 
Variety 1
Variety 2
Variety 3
Variety 4
Variety 5
Variety 6
Variety 7
Variety 8
Variety 9
Variety 10
If not, give the name and area of the main varieties included in class other main other colour  grape varieties Name Area (ha) 
Variety 1
Variety 2
Variety 3
Variety 4
Variety 5
Variety 6
Variety 7
Variety 8
Variety 9
Variety 10


Additional comments

 

 
5.3.65. Data completeness - rate

Not available.


6. Accuracy and reliability Top
6.1. Accuracy - overall

How good is the accuracy of the vineyard statistics? Satisfactory
What are the main factors lowering the accuracy? Coverage errors and Missing characteristics
If others, which ones?

Incorrect data entry of some characteristics, as for example the year of planting

 


Additional comments
6.2. Sampling error

Not available
6.2.1. Sampling error - indicators

Not available
6.3. Non-sampling error

Over coverage and misclassification errors are observed in vineyard register data (see 6.3.1)
6.3.1. Coverage error

In the context of vineyard data collection the non-sampling errors are linked to the quality of the vineyard register

Under coverage

Does the vineyard register include all wine growers of the country? NO
If not, which kinds of wine growers are not included?

The register includes all growers who have submitted viticulture statement from 2004, when the register was established, and onwards. Growers who have not submitted viticulture statement are not included in the register.
How many percent of the total number of wine growers are not included?

Not estimated
How big part of the vineyard area is not included?

Low
Impact of under coverage on the data quality Low


Over coverage

Does the vineyard register include holdings which are not any more active wine growers? YES
If yes, how many years does an inactive holding stay in the register?

Register data are updated according to grower’s declaration. In order for a parcel to be removed, the grower has to declare it as abandoned or non productive vineyard.

 
Are former wine grower holdings, which haven't harvested regularly the grapes for more than 5 years, part of the vineyard data collection? YES
Impact of over coverage on the data quality Moderate


Multiple listing errors

Number of farms listed in the register several times? None
Impact of multiple listings on the data quality None


Misclassification

Does the misclassification of units or characteristics have an impact on the data quality? YES
If yes, to which extent? Some
Which characteristics are affected?  
Area
Number of holdings
Type of production
Size class
Degree of specialisation
Main varieties
Age class
   
Impact of misclassification on the data quality  Moderate
   
Degree of bias caused by coverage errors Moderate
What measures were taken to mitigate the impact of coverage errors?  
None
Ancillary data sources were used in parallel to the vineyard register
Statistical correction methods
Others

Checks were made by the responsible authority. When necessary, data are sent back to the Regional Directorates of Rural Economy and Veterinary (responsible at regional level for the maintenance of the register) for verifications.

 
   
In case coverage errors were detected, was the authority responsible for the vineyard register notified? YES
Have actions been taken to improve the register? YES


Additional comments

Under coverage: The percentage of growers not included in the register is considered insignificant, since the registration in Vineyard Register is compulsory for growers who take part in the wine sector programs and actions.

Misclassification: Possible incorrect data entry in the fields of the vineyard register forms concerning parcel characteristics may relate to all of cartographic and descriptive information of the parcel: errors in the geographical identification, the declared area, variety, vineyard designation etc.


6.3.1.30. Over-coverage - rate
6.3.1.31. Common units - proportion

 
6.3.1.30. Over-coverage - rate
6.3.1.31. Common units - proportion
6.3.2. Measurement error

Not available.
6.3.3. Non response error

In the context of vineyard data collection the non-response is understood as missing characteristics in the vineyard register

Were all characteristics mentioned in Regulation 1337/2011 Annex 2 present in the vineyard register? YES
If not, which were missing?
Were ancillary data sources used to fill in the gaps? NO
If yes, which one?


Additional comments

Data on PDO and PGI were not transmitted to ELSTAT because they were considered of low quality.

ELSTAT has proceeded to a number of actions in order to clarify register data and fill in the gaps.

The geographical identification of the location of the parcel in the register is based on previous administrative divisions of the country (Kapodistrias 2001 and 2009) instead of the current one (Kalikratis, latest version 2020). So firstly, the correspondence between the old and the new geographical codes was performed.  

At a second stage vines eligible for PDO and PGI wines were identified. This task was performed by ELSTAT, since the relevant information in the vineyard register is based on the producer’s declaration and is not crosschecked. According to the Ministerial Decisions of recognition of the PDO and PGI wines, ELSTAT has proceeded to the recording of all combinations of geographical codes and varieties that can produce PDO or PGI. Thus each parcel in the registry was characterized as potentially PDO/PGI or not.

 
6.3.3.6. Unit non-response - rate

Not available.
6.3.3.7. Item non-response - rate

Not available.
6.3.4. Processing error

Not available.
6.3.4.1. Imputation - rate

Not available.
6.3.5. Model assumption error

Not available.
6.4. Seasonal adjustment

Not applicable
6.5. Data revision - policy

Not available.
6.6. Data revision - practice

How many data revisions were done?

0
Why were the data revisions done?


Additional comments

The released data are final and are not subject to revisions.

The revision policy of the Hellenic Statistical Authority (ELSTAT) defines standard rules and principles for data revisions, in accordance with the European Statistics Code of Practice and the principles for a common revision policy for European Statistics contained in the Annex of the European Statistical System (ESS) guidelines on revision policy.

https://www.statistics.gr/documents/20181/1195539/ELSTAT_Revisions_Policy_25_10_2018_EN.pdf/604b51dd-5dc2-4c7c-8b74-2766bda16e5e

 

 

 

 
6.6.4. Data revision - average size

Not available.


7. Timeliness and punctuality Top
7.1. Timeliness

  Register 1 Register 2 Register 3 Register 4 Register 5 Register 6 Register 7 Register 8 Register 9 Register 10 Register 11 Register 12 Register 13 Register 14 Register 15 Register 16 Register 17
Name of the register(s)

Geographic Information System for the Olive Sector and the Vineyard Register (GIS-OS & VR)

 
When were the data extracted from the vineyard register? 31/07/2020
When was the latest update of the vineyard register done before the data extraction? 31/07/2020
Update frequency of the register Continuous


Additional comments

According to the responsible authority, vineyard register is updated by the responsible regional directorates continually on a daily basis, according to producer's declaration. (See also 6.3.1 - Over coverage errors).

 
7.1.70. Time lag - first result

Not available.
7.1.71. Time lag - final result

Not available.
7.2. Punctuality

Was the dataset delivered to Eurostat by the deadline (30 September 2021)? YES
In case not, how many days delay was there?   


Additional comments
7.2.4. Punctuality - delivery and publication

Not available.


8. Coherence and comparability Top
8.1. Comparability - geographical

Were there any differences in the definition of the characteristics between the national/regional data and those described in Regulation 1337/2011? NO
If yes, which definitions were different?
How would you describe the impact of the differences in definitions for the data comparability at EU level? Very small


Additional comments


Asymmetry for mirror flow statistics - coefficient




 
8.1.5. Asymmetry for mirror flow statistics - coefficient
8.2. Comparability - over time

The same methodology as the one used in 2015 was applied.
8.2.1. Length of comparable time series

2015-2020
8.3. Coherence - cross domain

With which other data sources the vineyard data have  been compared?  Annual crop statistics (ACS) and FSS
Other statistics

Previous vineyard survey

 
Other registers

ELSTAT’s statistical farm register

 
   
If no comparisons have been made, why not?
Result of the comparison with ACS Small differences
If differences were detected, to which characteristics are they linked ? Area by grape type
Description of the differences

Area under wine grapes is 1.9% smaller in vineyard statistics 2020 than in ACS 2020.

ACS data are estimates obtained primarily from the agencies located in the regional divisions of the country. They are based on the premise of the opinions of experts in the agricultural sectors (local agriculturists, cooperatives, local farmers, etc.)

 
Result of the comparison with FSS Major differences
If differences were detected, to which characteristics are they linked ? Area by grape type
Description of the differences

Area under wine grapes is 29.9% larger in vineyard statistics 2020 than in FSS 2016.

FSS (as well as previous vineyard surveys) is conducted by ELSTAT on the basis of ELSTAT’s statistical farm register (see 3.3). Comparing ELSTAT register with Vineyard register, the large difference is observed for holdings <30 ha, while the difference in the higher classes (>30ha) is insignificant. A part of the difference is due to the over coverage error in the vineyard register (see 8.3), while the rest part should be further examined whether it is created by holdings missing from ELSTAT’s register.

 
Other comparison results Small differences
If differences, please give a brief description of the results of this comparison.

Area under wine grapes in vineyard statistics 2020 is 0.1% smaller than in vineyard statistics 2015.

 


Additional comments

Comparisons between the various sources and the register data were made only for wine grapes.

Regarding raisins, in Greece there are two raisins’ varieties Korintiaki and Soultanina. Soultanina is a triple purpose variety. The part used for wine production is fairly clear. However the parts used as table grapes or raisins cannot be adequately distinguished. This results in differences between the various sources and since table grapes are not included in the current survey it is not possible to obtain meaningful comparisons.
8.4. Coherence - sub annual and annual statistics

Not available.
8.5. Coherence - National Accounts

Not available.
8.6. Coherence - internal

Not available.


9. Accessibility and clarity Top
9.1. Dissemination format - News release

  Availability Links
News release  YES

https://www.statistics.gr/en/statistics/-/publication/SPG63/-

 
9.2. Dissemination format - Publications

  Availability Links
Publications NO
Publications in English NO
9.3. Dissemination format - online database

  Availability Links
On-line database accessible to users  YES

http://www.statistics.gr/en/statistics/-/publication/SPG63/-

 
Website YES

http://www.statistics.gr/en/statistics/-/publication/SPG63/-

 
Free/against payment data access policy Free  
9.3.6. Data tables - consultations

Not available.
9.4. Dissemination format - microdata access

  Availability Links
Micro-data access for researchers  YES

http://www.statistics.gr/en/scientific_provision_data

 
9.5. Dissemination format - other

Not available.
9.6. Documentation on methodology

  Availability Links
Methodological report YES

http://www.statistics.gr/en/statistics/-/publication/SPG63/-

 
Scientific publications NO
Definitions and classifications YES

http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:32011R1337&rid=1

 

 

 
9.7. Quality management - documentation

  Availability Links
Quality Report YES

http://www.statistics.gr/en/statistics/-/publication/SPG63/-

 
Metadata YES

http://www.statistics.gr/en/statistics/-/publication/SPG63/-

 
9.7.3. Metadata completeness - rate

Not available.
9.7.4. Metadata - consultations

Not available.


10. Cost and Burden Top
Restricted from publication


11. Confidentiality Top
11.1. Confidentiality - policy
Restricted from publication
11.2. Confidentiality - data treatment
Restricted from publication


12. Comment Top


Related metadata Top


Annexes Top