Vineyard (vit)

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

Compiling agency: Eurostat, the Statistical Office of the European Union

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)

National quality report

National quality report produced by countries and released by Eurostat

Bulgaria

Czechia

Germany

Greece

Spain

France

Croatia

Italy

Cyprus

Luxembourg

Hungary

Austria

Portugal

Romania

Slovenia

Slovakia

United Kingdom

For any question on data and metadata, please contact: Eurostat user support

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1. Contact

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1.1. Contact organisation

Eurostat, the Statistical Office of the European Union

1.2. Contact organisation unit

E1 - Agriculture and fisheries

1.5. Contact mail address

2. Statistical presentation

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2.1. Data description

The vineyard data set includes data on the structure of vineyards in the European Union. It covers the holdings and areas

growing vines intended to produce grapes for other purposes than table grapes, and
growing vines for vegetative propagation.

The data includes the vine types, degree of specialisation of wine-grower holdings, main varieties of grapes and age of plants. Some indicators are collected at national level, others at NUTS 2 level. The Member States, which have more than 500 ha of vines for other purpose than table grape production, need to collect the data. The data are extracted from the vineyard register.

2.2. Classification system

The crops are classified according to the Eurostat standard code lists for crop items (dictionary: crops), main variables (dictionary: strucpro) and NUTS regions (NUTS 2013).

The classifications are available in RAMON (https://showvoc.op.europa.eu/#/datasets)

2.3. Coverage - sector

Growing of grapes for purposes other 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 concepts and definitions are presented in the Vineyard data collection Handbook -Annex 1

2.5. Statistical unit

Areas are collected in hectares (ha) and number of holdings in numbers.

2.6. Statistical population

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

2.7. Reference area

The data collection is limited to the countries having a bigger than 500 ha area of vines grown for other purposes than table grapes. The Member States under the reporting obligation for the 2015 data were 17 and they are the following:

Bulgaria
Czech Republic
Germany
Greece
Spain
France
Croatia
Italy
Cyprus
Luxembourg
Hungary
Austria
Portugal
Romania
Slovenia
Slovakia
United Kingdom

The data collection covers NUTS 2 regions in which vines for wine, raisins and vegetative production are grown. The exceptions are Madeira and Azores in Portugal as they are not covered by the national vineyard registers.

2.8. Coverage - Time

The reference year was 2015.

2.9. Base period

Not applicable.

3. Statistical processing

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3.1. Source data

Regulation (EC) No 1337/2011 stipulates in Article3(4) the following:

The statistics on the permanent crop referred to in point (m) of Article 1(1) (=vines for other purposes than table grapes) of this Regulation shall be provided using the data available in the vineyard register implemented in accordance with Article 185a of Regulation (EC) No 1234/2007 for all the holdings included in this register, as defined in point (a) of Article 3(1) of Regulation (EC) No 436/2009.

All Member States extracted the data from the vineyard register. The register is maintained in 9 Member States at national level, in 4 Member States at regional level and in another 4 Member States both at regional and national levels (Table 1).

Table 1. Level of the vineyard register.

MS	National	Regional
BG	X
CZ	X
DE		X
EL		X
ES		X
FR	X	X
HR	X
IT	X	X
CY	X
LU	X
HU	X
AT		X
PT	X
RO	X	X
SI	X	X
SK	X
UK	X

The vineyard register is maintained by the wine authorities. In most cases the statistical authorities did not have any problems to access the register data (Table 2). In Greece, Spain (some regions) and the United Kingdom some negotiations were necessary and in Spain (some regions) and Italy the negotiations were lengthy.

Table 2. Accessibility of the register data.

MS	Constant access	Simple request	Some negotiations	Lengthy negotiations
BG		X
CZ	X
DE		X
EL			X
ES		X	X	X
FR		X
HR	X
IT				X
CY		X
LU	X
HU		X
AT		X
PT		X
RO		X
SI	X	X
SK		X
UK			X

The national Quality report sections 3.1-3.3 provide more information on the vineyard register.

3.2. Frequency of data collection

Since 2015, the EU-level data collection is done every 5 years. From 1979 to 2009 the basic survey was done every 10 years. In some countries national data collections are more frequent (Table 3).

Table 3. National data collections 2010-2014.

MS	Years
BG
CZ
DE	Every year
EL	2012, 2013
ES
FR	Every year
HR
IT
CY	Every year
LU	Every year
HU
AT
PT
RO
SI
SK	Every year
UK

3.3. Data collection

Not available.

3.4. Data validation

All Member States reported that the data are validated before the transmission to Eurostat (Table 4). The validation checks cover a wide range of issues: completeness, validity, outliers, aggregates and relational issues.

Most countries have automated a part of the validation checks. Portugal and Romania implemented only automated checks. Bulgaria, France, Cyprus, Hungary, Austria Slovakia and the UK reported to have only manual validation procedures in place. All other countries use a mixture of automatic and manual checks.

Table 4. Validation checks.

MS	Type of validation	Unit completeness	Item completeness	Valid value	Outlier detection	Relational checks	Aggregates	Others
BG	Manual	X		X		X	X
CZ	Automatic and Manual	X	X	X	X	X	X
DE	Automatic and Manual	X	X					Plausibility, consistency.
EL	Automatic and Manual	X	X	X	X	X
ES	Automatic and Manual	X	X	X	X	X	X
FR	Manual		X				X
HR	Automatic and Manual	X	X	X			X
IT	Automatic and Manual	X	X	X		X	X
CY	Manual	X	X	X	X	X	X
LU	Automatic and Manual	X	X	X		X	X	Part of IACS: audits, quality managem.
HU	Manual		X	X		X	X
AT	Manual	X	X	X	X		X
PT	Automatic					X
RO	Automatic	X		X			X
SI	Automatic and Manual	X	X	X		X
SK	Manual	X	X	X		X	X
UK	Manual	X	X	X			X

3.5. Data compilation

Not applicable

3.6. Adjustment

Not applicable

4. Quality management

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Most of the Member States reported that there were quality management procedures in place for vineyard data collection. The details are shown in Table 5.

Table 5. Quality management procedures.

MS	Quality management aspects
BG	The data obtained from EAVW (Executive Agency on Vine and Wine) was discussed, examined (comparison of categories and sub-categories, time frames, periods and scope covered incl.) and validated at expert level. The EAVW experts were informed timely in order to remove some inconsistencies and technical errors for data update.
CZ
DE	Institutions responsible for the vineyard register check the incoming data for completeness and plausibility. After receiving the data from the institutions responsible for the vineyard register, the Statistical offices of the Länder check the consistency of the data. The Statistical offices of the Länder compare the results with the previous year (macro-plausibility). Furthermore changes and occurring discrepancies are discussed by representatives of the Statistical offices of the Länder with the data producers (institutions responsible for the vineyard register). Quality reports are available for the Structural Statistics on Vineyards. Area data of the vineyards submitted by the respondents is validated by the institutions responsible for the vineyard register with corresponding area data of the Real Estate Cadastre. In addition, on-the-spot checks are conducted. In addition the plot data of area are compared with the production of wine and must.
EL	ELSTAT (Hellenic Statistical Authority) has performed a number of quality checks for data validation.
ES	Data validation, data completeness, result check against different sources results
FR
HR	The Agency periodically carries out visual and administrative control data. The controls consist of: visual control LPIS (Land Parcel Identification System) to block DOF (Digital Ortho Photos) method, visual inspection of final LPIS data (final visual verification), control in the field of final LPIS data (GPS measurements, type of land use, georeferenced images integrated into the database), based on update new DOF every 3-5 years. The data in the file on the production control wine inspectors, and in the case of established irregularities producers referred to in the Regional offices of the Agency to correct previously submitted statement, more severe forms of abuse data are punished misdemeanour charges. Data on production further checked with the surrender requirements of the manufacturers of putting wine produced on the market. All controls (administrative controls and on-site), relating to the verification of files of the winegrower, are documented in the Central office of the Agency, and control related to files in production are documented in the Ministry of Agriculture by the wine-making inspectors. Personal data is updated on the basis of data obtained from the relevant institutions (Ministry of Interior, the Crafts Register, Department of Viticulture and Enology). The data is updated periodically.
IT
CY	Components were total area and several other quality checks concerning duplicates and missing values or falsely recorded values.
LU	- double checking of the applications - Checklists - Procedures - IT Security (ISO/CEI 27002) - Geographical Information System for area control - Internal and external compliance audits
HU	The data were processed in two different ways parallel and the results were validated.
AT	The data derived from the provincial vineyard cadastres of Burgenland, Lower Austria, Styria and Vienna are based on the respective wine laws, which have to be implemented by the cadastre administering authorities. The responsible staff continually ensures data quality. Every issue reported is checked for completeness and plausibility. Every over-use of areas is reported by the application and corrected immediately. As of November 30 the master data of all holdings are collected annually. The provincial vineyard cadastres of Lower Austria and Styria are maintained on a daily basis in the Central Vine Database (System Wein-ONLINE) of the Federal Ministry of Agriculture, Forestry, Environment and Water Management (BMLFUW). The data of the federal provinces Burgenland and Vienna are exported from the cadastres as of July 31 and integrated in the Central Vine Database of the Federal Ministry of Agriculture, Forestry, Environment and Water Management (BMLFUW). Daily updated data are available at the provincial vineyard cadastres.
PT	Wine production and vineyard surface
RO	Annual crop statistics and Farm Structure Survey.
SI
SK	The specification of needs; Draft, creating and testing; Data collection; Data processing; Analysis; Dissemination.
UK

In all other Member States the quality improvement plans have been done in co-operation with the register holder except in Spain, France and the UK.

Several Member States were planning to improve the vineyard register concerning the coverage, update frequency and the identification of the holding (Table 6).

Table 6. Planned improvement actions.

MS	Elimination of over-coverage	Elimination of under-coverage	Elimination of multiple listings	More frequent updates	New characteristics	Better identification of holding
BG				X	X
CZ	X	X	X
DE
EL	X				X
ES
FR
HR	X			X
IT	X	X	X		X
CY				X
LU		X
HU			X	X	X
AT
PT		X	X	X	X	X
RO				X	X	X
SI	X	X
SK	X	X	X	X		X
UK

More information on the quality management can be found in section '4.1. Quality assurance' of the national Quality reports.

4.1. Quality assurance

Not available.

4.2. Quality management - assessment

The Member States provided self-assessment of the vineyard data quality (Table 7). Germany, Cyprus, Luxembourg and Austria consider the quality very good, Greece, France, Italy and Portugal satisfactory, the UK low and the rest of the countries good.

Table 7. Quality self-assessment by criteria.

MS	Overall quality	Accuracy	Relevance	Comparability	Coherence over time	Coherence between regions	Accessibility
BG	Good	Satisfactory	Very good	Good	Very good	Good	Very good
CZ	Good	Good	Good	Good	Low	Very good	Very good
DE	Very good	Very good	Good	Very good	Good	Very good	Very good
EL	Satisfactory	Satisfactory	Very good	Satisfactory	Satisfactory	Very good	Very good
ES	Good	Good	Good	Good	Good	Good	Good
FR	Satisfactory	Satisfactory	Satisfactory	Good	Good	Good	Satisfactory
HR	Good	Good	Good	Good	Good	Good	Very good
IT	Satisfactory	Satisfactory	Good	Good	Satisfactory	Good	Low
CY	Very good	Very good	Very good	Good	Very good	Very good	Good
LU	Very good	Very good	Good	Very good	Very good	Very good	Very good
HU	Good	Satisfactory	Good	Satisfactory	Good	Very good	Good
AT	Very good	Good	Good	Good	Good	Good	Good
PT	Satisfactory	Satisfactory	Good	Satisfactory	Satisfactory	Satisfactory	Good
RO	Good	Good	Good	Good	Good	Good	Good
SI	Good	Good	Good	Very good	Very good	Good	Good
SK	Good	Good	Good	Good	Satisfactory	Very good	Satisfactory
UK	Low	Low	Good	Satisfactory	Satisfactory	Low	Satisfactory

More information on the quality assessment can be found in section '4.2. Quality assessment' of the national Quality reports.

5. Relevance

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5.1. Relevance - User Needs

Structural vineyard statistics were considered necessary at national level in all countries except in Italy and the UK. Regulation (EU) 1337/2001 met the national needs in all countries except in France, Luxembourg, Hungary and Slovenia. Several countries added characteristics to the data collection (Table 8).

Table 8. Additional characteristics collected by countries.

MS	Additional characteristics
BG
CZ
DE	All necessary information concerning the potential and the structure of the wine farms. The German vineyard register provides all information on vineyard, yield, production and stocks of wine. In the Länder without cultivation of vine and therefore without vineyard register the wine stocks are surveyed separately (census with threshold).
EL
ES
FR	Plantation and grubbing up per campaign
HR
IT
CY
LU	Distance between rows (important for calculating the leaf wall area needed for calculating the right pesticide amount) Type of mechanisation (manual or mechanical) Vine training system Terraces Slope (calculated by GIS or on spot) for the real area
HU	Density of plantation by number of plants/ha, cultivation method, percent of missing plants.
AT
PT	Vineyard surface by region, by age of plantation, by holdings, by varieties and by vine type (PDO, PGI, table wine)
RO
SI	Different territorial division (wine-growing regions and wine-growing districts) Training systems Rootstocks Soil management Vertical inclination
SK
UK

5.2. Relevance - User Satisfaction

Greece, Spain and Austria had carried out a user satisfaction survey among the users of crop statistics. In all these countries the users were satisfied and in Greece even highly satisfied.

5.3. Completeness

The vineyard data are relatively complete. The missing characteristics are listed in Table 9. The missing characteristics are in most cases non-significant.

Table 9. Missing characteristics.

MS	Missing characteristics
BG
CZ	Vineyards with wine grape varieties without PDO or PGI Vineyards with wine grape varieties for dual purpose Vineyards for raisins
DE
EL
ES	Holding (2769 ha) Unknown variety (10709 ha)
FR	Somme characteristics (type of production of vine) are incomplete or absent from the register (vine destined for materiel propagation or data concerning the region of Champagne). An extrapolation has been realised to complete the dataset.
HR
IT
CY	Dried grapes information is missing from the vineyard data set but please note that dried grapes are a non-significant crop in Cyprus.
LU
HU
AT
PT	The vineyard register ensures the management of the potential under Regulation 1308/2013, in particular in the issue of planting authorizations for wine production. However, other production destinations, since they are outside the authorization regime, may not be correctly recorded. In addition to that, there is also the issue of the missing wine growers from Azores and Madeira.
RO
SI
SK
UK

Greece, Spain, Italy and Hungary have reported other main varieties than the ones listed in the Implementing Regulation.

More information of these varieties can be found in the national Quality reports in section 5.3 'Completeness'.

5.3.1. Data completeness - rate

Not available.

6. Accuracy and reliability

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6.1. Accuracy - overall

The Member States assessed the accuracy and reliability of the vineyard data. Most countries considered the accuracy and reliability good, some of even very good. Four Member States state that the quality is satisfactory and only one, the UK, low (Table 10).

Main reasons lowering the accuracy are coverage errors and missing characteristics.

Table 10. Overall accuracy assessment.

MS	Overall accuracy	Main factors lowering the accuracy	Other factors lowering the accuracy
BG	Good	Coverage errors
CZ	Good	Coverage errors and missing characteristics
DE	Very good	Other errors	False or missing data provided by the respondents. Rarely: wrong or missing contributions by the farmers
EL	Satisfactory	Coverage errors and missing characteristics	Incorrect data entry of some characteristics, as for example the year of planting
ES	Good	Other errors	Register update of not admistrative relevant events
FR	Satisfactory	Missing characteristics
HR	Very good	Coverage errors
IT	Satisfactory	Coverage errors and missing characteristics
CY	Very good	Missing characteristics
LU	Very good	Coverage errors
HU	Good	Coverage errors
AT	Good	Coverage errors and missing characteristics	Declining willingness of wine growers to cooperate.
PT	Satisfactory	Coverage errors	Misclassification of some characteristics the vine parcel in the vineyard register – Grape Varieties.
RO	Good	Coverage errors and missing characteristics
SI	Good	Coverage errors and missing characteristics
SK	Good	Other errors	Internal ID of households
UK	Low	Other errors	General lack of validation and verification within the system and quality assurance of the data

6.2. Sampling error

Not applicable

6.2.1. Sampling error - indicators

Not applicable

6.3. Non-sampling error

See details in specific items.

6.3.1. Coverage error

Under-coverage refers to missing parts of the population in the sample. The impact of under-coverage is very low as very small area is not covered by the registers (Table 11). The missing area are mostly used to produce grapes only for own consumption.

Table 10.Under-coverage issues.

MS	Are all wine-growers included?	If not, which are not included?	Impact of under coverage on the data quality
BG	YES		None
CZ	YES		Low
DE	YES		None
EL	NO	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.	Low
ES	YES		None
FR	NO	Vines intended to produce material for the vegetative propagation of vines are not included in vineyard register. Data concerning vines of the region of Champagne have notbeen updated since 2014	Low
HR	NO	Some of producers who produce grapes for their own use are out of Register.	Moderate
IT	NO	Wine growers with a wine grapes area less than 1000 m2 and which the product, fresh or processed, totally self-consumed by the holder and his/her family	Low
CY	YES		None
LU	NO	Winegrowers who grow vines only for own use (no commercial use)	Low
HU	NO	Growers who do not sell wine and have vineyard area less than 0,1 ha. It may occur there are some farmers who have their area out of the vine regions but produce wine for selling.	Low
AT	NO	Wine growers from federal provinces having no vineyard cadastre due to their very small proportion in viticulture. Winegrowing holdings of those federal provinces were directly surveyed.	None
PT	NO	The wine growers from Azores and Madeira	Moderate
RO	YES		None
SI	NO	Smaller than 0,05ha	Low
SK	YES		None
UK	YES		Low

Multiple listings are cases where the same holding or parcel is recorded several times in the register. They are a larger problem only in Portugal. In most countries multiple listings do not exist at all or are rare. The impact on accuracy is very low.

Table 12. Multiple listings issues.

MS	Number of multiple listings	Impact of multiple listings on the data quality
BG	None	None
CZ	None	None
DE	None	None
EL	None	None
ES	None	None
FR	Low	Low
HR	None	None
IT	Low	Low
CY	None	None
LU	None	None
HU	Low	None
AT	None	None
PT	Moderate	Moderate
RO	None	None
SI	None	None
SK	None	None
UK	Low	Low

Misclassification is a mistake where a phenomenon (e.g. vine type) is classified in a wrong class. It happened in almost half of the Member States and it concerned mostly the type of production. The impact on the overall quality is however rather small (Table 13).

Table 13. Type of misclassification

MS	Misclassification	Area	Number of holdings	Type of production	Size class	Main variety	Age	Impact on overall quality
BG								None
CZ	X			X				Low
DE								None
EL	X	X		X	X		X	Moderate
ES	X		X			X		Low
FR	X			X				Moderate
HR								None
IT								None
CY								None
LU								None
HU	X			X			X	Low
AT								None
PT	X			X		X		Low
RO								None
SI	X	X				X	X	Low
SK								None
UK								Low

More information of coverage issues can be found in the national Quality reports in section 6.3.1. 'Coverage errors'

6.3.1.1. Over-coverage - rate

Over-coverage is an issue in more than half of the countries. It results from non-active holdings staying in the register. In Bulgaria, Czech Republic, Greece, France and Cyprus they can stay there a long time, even more than 7 years.

Table 11. Over-coverage issues.

MS	Inclusion of not active holdings	Are holdings which ceased wine growing more than 7 years ago included?	Impact of under-coverage on the data quality
BG	Yes	Yes	Moderate
CZ	Yes	Yes	Low
DE	No	No	None
EL	Yes	Yes	Moderate
ES	Yes	No	None
FR	Yes	Yes	Moderate
HR	No	No	None
IT	No	No	None
CY	Yes	Yes	Low
LU	No	No	None
HU	Yes	No	None
AT	Yes	No	None
PT	No	No	Moderate
RO	No	No	None
SI	Yes	No	Low
SK	Yes	No	None
UK	Yes	No	Low

6.3.1.2. Common units - proportion

Not available.

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. In half of the Member states some characteristics were missing in the registers (Table 14). Most common missing features were vines for raisins (dried grapes) and vines producing propagation material.

France, Italy, Austria and Slovenia used ancillary data sources to fill in the gaps.

Table 14. Missing characteristics.

MS	Missing characteristics
BG
CZ	Vineyards with wine grape varieties without PDO or PGI Vineyards with wine grape varieties for dual purpose Vineyards for raisins
DE
EL
ES
FR	Planted area intended only for the production of material for the vegetative propagation of vines (graft nursery) Type of production (12 % of total area missing). Area planted with wine grape varieties not classified ("other") Abandoned wine growing area Area planted with varieties for the production of dried grapes (no object in france).
HR
IT	Table 1:MAT_VP,_0, NIN_WI_PDO,NIN_WI_PGI,NIN_WI_NP,NIN_WI_DP Table2:DRI, _0 Table 3:HLD_EDRI ,HLD_O,HLD_SEV Table 4:VIUNKM_T
CY	Dried grapes data were missing (but dried grapes in Cyprus is a non-significant crop)
LU
HU	Characteristics of wine quality - PDO/PGI/NP classification
MT
AT	Originally missing data were the vine nurseries data and grape varieties data from federal provinces having no vineyard cadastre due to their minor role in viticulture.
PT	The vines producing material for vegetative propagation.
RO
SI	Data on propagating material of vines (nurseries and parent vines for root-stock)
SK
UK

6.3.3.1. Unit non-response - rate

Not available.

6.3.3.2. 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

Not available.

6.6.1. Data revision - average size

Not available.

7. Timeliness and punctuality

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7.1. Timeliness

Most countries followed the Eurostat instructions and extracted the data in July 2015. Luxembourg, Portugal and the UK extracted the data in 2016 and Italy in 2017 due to data availability reasons (Table 15).

In most countries the register is updated continuously. In Italy and Luxembourg it is done only once per year and in the UK twice per year.

Table 15. Data extraction date and update frequency of the register.

MS	Data extraction date	Last update date	Update frequency
BG	01/08/2015	31/07/2015	Continuous
CZ	31/07/2015	31/07/2015	Continuous
DE	31/12/2015	31/12/2015	Continuous
EL	31/07/2015	30/07/2015	Continuous
ES	01/08/2015		Continuous
FR	31/07/2015	31/07/2015	Continuous
HR	31/07/2015	30/06/2016	Continuous
IT	30/04/2017	30/04/2017	Once per year
CY	31/07/2015	30/07/2015	Continuous
LU	10/08/2016	31/01/2016	Once per year
HU	15/11/2015	08/11/2015	Continuous
AT	31/07/2015	30/07/2015	Continuous
PT	07/06/2016	04/04/2016	Continuous
RO	31/07/2015	30/06/2015	Continuous
SI	30/09/2015	30/06/2015	Continuous
SK	30/09/2015	31/07/2015	Continuous
UK	01/07/2016	01/06/2016	Every 6 months

7.1.1. Time lag - first result

Not available.

7.1.2. Time lag - final result

Not available.

7.2. Punctuality

The punctuality of the data transmissions is assessed by Eurostat on the basis of received transmissions in EDAMIS (Table 16).

Table 16. Data reception.

MS	Reception date	Punctuality
BG	28-Sep-16	On time
CZ	14-Sep-16	On time
DE	7-Jun-16	On time
EL	30-Sep-16	On time
ES	26-Aug-16	On time
FR	3-Oct-16	+3 days
HR	25-Jul-16	On time
IT	25-Jul-17	+298 days
CY	29-Sep-16	On time
LU	11-Aug-16	On time
HU	30-Sep-16	On time
AT	30-Sep-16	On time
PT	10-Mar-17	+161 days
RO	30-Sep-16	On time
SI	8-Sep-16	On time
SK	3-Oct-16	+3 days
UK	29-Sep-16	On time

All other countries delivered the data on time, except France and Slovakia, which had a minor delay (3 days), and Portugal and Italy which had significant delays, 161 and 298 days respectively. The long delays were due to the late access to the vineyard register.

7.2.1. Punctuality - delivery and publication

See 7.2. Punctuality

8. Coherence and comparability

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8.1. Comparability - geographical

Not available.

8.1.1. Asymmetry for mirror flow statistics - coefficient

Not applicable

8.2. Comparability - over time

The change of legal basis has had an impact on the data comparability. Until 2009 the data were gathered from statistical surveys conducted on a 10-year basis pursuant to Council Regulation (EEC) 357/79. The Regulation (EU) No 1337/2011 was adopted in December 2011 and it entered into force in January 2012. Consequently, the vineyard data collection is now conducted every five years, with 2015 being the first reference year.

In more than half of the Member States the methodology changed significantly from the 2009 data collection to the 2015 data collection (Table 17). Those countries which used surveys in the past had to adapt to the requirement to use the vineyard register as the sole data source. Another major difference is the obligatory use of NUTS regions in the 2015 data collection instead of wine regions. Only in Germany, Spain, Cyprus and Romania the same methodology and regional breakdown were used in these two data collections.

Table 17. Differences between the 2009 and 2015 data collections.

MS	Methodology	Regional breakdown
BG	Major differences	Same NUTS2 regions
CZ	Major differences	The 2009 data are collected by wine regions
DE	Same methodology was used	Same NUTS2 regions
EL	Major differences	Same NUTS2 regions
ES	Same methodology was used	Same NUTS2 regions
FR	Major differences	Same NUTS2 regions
HR	Minor differences	NUTS regions but differences have occurred between 2009 and 2015
IT	Major differences	Same NUTS2 regions
CY	Same methodology was used	Same NUTS2 regions
LU	Minor differences	Same NUTS2 regions
HU	Major differences	Same NUTS2 regions
AT	Same methodology was used	The 2009 data are collected by wine regions
PT	Major differences	Same NUTS2 regions
RO	Same methodology was used	Same NUTS2 regions
SI	Same methodology was used	The 2009 data are collected by wine regions
SK	Same methodology was used	The 2009 data are collected by wine regions
UK	Major differences	Same NUTS regions but differences have occurred between 2009 and 2015

In half of the Member States there were major methodological differences between the 2009 and 2015 data collections.

8.2.1. Length of comparable time series

Not available

8.3. Coherence - cross domain

The importance of the cross-domain coherence has been stressed by Eurostat. Most Member States compared the vineyard data with the Annual crop statistics (ACS) and FSS (Farm Structure Survey) data (Table 18). Only Luxembourg and the UK did not do cross-domain comparisons.

The Annual crop statistics are collected annually and they include among other things production area for grapes for wine (with sub-classes PDO, PGI and other wines n.e.c.), which corresponds to the 'areas under vines for wines in vineyard data collection. The FSS data has the same breakdown as the ACS data and they are collected every three years (most recent in 2013 and 2016) at farm level.

Table 18. Data comparisons against other data sets.

MS	Previous results	ACS	FSS	Others
BG		X	X	IACS
CZ		X	X
DE	X	X	X	During the registration in the vineyard register, the data is also compared to the area data on the Real Estate Cadastre. Individual data of wine and must.
EL	X	X	X	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.
ES	X	X		Esyrce (National Area Frame Survey)
FR		X	X	Harvest declaration
HR	X	X	X
IT		X	X	IACS
CY		X	X
LU
HU	X	X	X
AT	X	X	X	IACS
PT
RO
SI	X	X
SK		X
UK

According to the Member States analysis the differences between the vineyard data, annual crop statistics and the FSS data are small in most cases (Table 19).

Table 19. Self-assessment of the results of the data comparisons.

	ACS	Difference linked to:	FSS	Difference linked to:
BG	Small differences	Total area	Small differences	Total area
CZ	Small differences	Area by grape type	Small differences	Other
DE	Small differences	Other	Small differences	Total area
EL	Small differences	Area by grape type	Small differences	Area by grape type
ES	Small differences	Area by grape type	Major differences	Area by grape type
FR	Fully comparable	No differences detected	Small differences	Total area
HR	Small differences	Total area	Small differences	Total area
IT	Small differences	Total area	Small differences	Total area
CY	Small differences	Total area	Small differences	Total area
LU	Fully comparable	No differences detected	Fully comparable	No differences detected
HU	Small differences	Area by grape type	Small differences	Area by grape type
AT	Small differences	Total area	Small differences	Total area
PT	Small differences	Area by grape type	Small differences	Area by grape type
RO	Fully comparable	Area by grape type	Fully comparable	Area by grape type
SI	Fully comparable	No differences detected	Small differences	Total area
SK	Small differences	Total area	Small differences	Other
UK	Fully comparable	No differences detected	Fully comparable	No differences detected

Eurostat made also an assessment of the differences in area of vineyards for wine grapes between the vineyard data (2015), ACS (2015) and FSS data (2013). The results are shown in Figure 1 (in % against the vineyard data). In many Member States the vineyard data show more than 10% larger area than the ACS of the FSS.

There are three main explanations for that: firstly, the threshold in the register is very small, in most cases 0.1 ha and in FSS several countries use a higher threshold. Secondly, in several countries the register has over coverage (abandoned areas are still in the register). And thirdly, the area definition is different in vineyard data than in the ACS, where only the production areas are included. Only in Croatia the vineyard data show a smaller area than ACS and FSS. In Germany, France, Luxembourg, Austria and Slovenia the differences between the data sources are small.

Figure 1. Eurostat comparison between the vineyard data, ACS data and he FSS data (expressed in % against the vineyard data.

More information of cross-domain comparisons can be found in the national Quality reports in section '8.3. Coherence - cross domain'

8.4. Coherence - sub annual and annual statistics

Not applicable

8.5. Coherence - National Accounts

Not applicable

8.6. Coherence - internal

Not available.

9. Accessibility and clarity

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Most Member States make the vineyard data or the results of the data collection available to the data users in many formats (Table 21).

Table 21. Access to the vineyard data.

MS	News release	Publications	Publications in English	On-line database for users	Website	Micro data for researchers	Methodological report	Definitions and classifications	Quality report	Metadata
BG
CZ		X	X		X		X		X
DE	X	X	X	X	X				X
EL	X			X	X	X	X	X	X	X
ES	X	X			X		X	X
FR
HR	X				X	X	X		X	X
IT
CY
LU	X	X		X	X	X	X	X
HU									X	X
AT	X	X	X	X	X	X	X		X	X
PT								X
RO	X
SI	X			X	X	X	X	X
SK						X
UK

The national Quality report section 9 'Accessibility and clarity' provides more information on the data accessibility and clarity.

9.1. Dissemination format - News release

Not available.

9.2. Dissemination format - Publications

Not available.

9.3. Dissemination format - online database

Not available.

9.3.1. Data tables - consultations

Not available.

9.4. Dissemination format - microdata access

Not available.

9.5. Dissemination format - other

Not available.

9.6. Documentation on methodology

Not available.

9.7. Quality management - documentation

Not available.

9.7.1. Metadata completeness - rate

Not available.

9.7.2. Metadata - consultations

Not available.

10. Cost and Burden

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Not available.

11. Confidentiality

Top

Not available.

11.1. Confidentiality - policy

Not available.

11.2. Confidentiality - data treatment

Not available.

12. Comment

Top

Not available.

Related metadata

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Annexes

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Eurostat Handbook for Structural Statistics on Vineyards