Vineyard (vit)

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

Compiling agency: Statistisches Bundesamt


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)
 



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

Download


1. Contact Top
1.1. Contact organisation

Statistisches Bundesamt
1.2. Contact organisation unit
G13 - Pflanzliche Erzeugung und Flächennutzung
1.5. Contact mail address


2. Statistical presentation Top
2.1. Data description

The survey is a complete enumeration. Data are collected for the type of use of the vineyards, area of the vineyards (summarized for different territorial units) and wine grape varieties.

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

in 2020, no information on vegetative propagation material is available from the vineyard registers. Therefore we used for this purpose the informations from the Federal Plant Variety Office. The feature is given only on the level of Germany (374 hectares).
2.2. Classification system

Division of the cultivation areas are based on the wine law "WeinG" in its amendment of 18 January 2011 (BGBl. I S. 66).
2.3. Coverage - sector

The Structural Statistics on Vineyards and the Vineyards Survey are carried out for all federal states with wine growing (all federal states except the city states).
2.4. Statistical concepts and definitions

Statistical characteristics of observations

Structural Statistics and yearly interim Surveys on Vineyards.
Is there a national legislation covering structural vineyard statistics? YES
Name of the legislation
(A) Agricultural Statistics Law as published on 17th December 2009 (Federal Law Gazette I, p. 3886)
(B) Federal Statistics Law of 20th October 2016 ( Federal Law Gazette I, p. 2394)

(C) Regulations of the federal states regarding the management of the vineyard register

 
If yes, provide a link

(A) https://www.gesetze-im-internet.de/agrstatg/AgrStatG.pdf

(B) https://www.buzer.de/gesetz/5085/index.htm#artanc70396
Scope and coverage of the legislation

The legislation covers entire process of data collection, processing, non-disclosure and forwarding.
Responsable organisation for the legislation

Federal Republic of Germany, federal legislative authorities.
Precision requirements 

Not relevant because of the methodology 'complete enumeration'.
Does the national legal frame foresee the use of the vineyard register?  YES
2.5. Statistical unit

All proprietors and operators of vineyards that are recorded in the vineyard register.
2.6. Statistical population

All active proprietors and operators of vineyards that are recorded in the vineyard register.
2.7. Reference area

The surveys are conducted for all federal states with wine growing (all federal state except the city states).
2.8. Coverage - Time

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

'Yearly interim survey 'Vineyards Survey' since 1994 (originally since 1964 but afterwards minor changes: classification scheme of the grape varieties (since 1979 according to the colour of the grapes), since 1992 use of administrative data processing, 1994 change from location of the holding to location of the plot (vineyard).
Frequency of the data collection (if there was one) before 1979 or before EU membership?

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

31 July 2020


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)

Weinbaukartei "Baden-Würtemberg"

Weinbaukartei "Baden-Würtemberg"

Weinbaukartei des "Freistaates Bayern"

Weinbaukartei "Rheinland-Pfalz" (rlp.de --> "EU-Weinbaukartei)

Weinbaukartei "Saarland"

Weinbaukartei "Hessen"

Weinbaukartei "Sachsen-Anhalt"

Weinbaukartei "Sachsen"
Weinbaukartei "Niedersachsen"
Data owner (organisation)
Staatliche Lehr- und Versuchsanstalt für Wein- und Obstbau, Weinsberg
Staatliches Weinbauinstitut Freiburg i. Br.
Bayerische Landesanstalt für Weinbau und Gartenbau (LWG)
Landwirtschaftskammer Rheinland-Pfalz

Landwirtschaftskammer Saarland

Regierungspräsidium Darmstadt
Amt für Landwirtschaft, Flurneuordnung und Forsten Süd, Weißenfels

Sächsisches Landesamt für Umwelt, Landwirtschaft und Geologie
Niedersächsisches Landesamt für Verbraucherschutz und Lebensmittelsicherheit, Oldenburg
Contact information of the register authority (email and phone number)
poststelle@lvwo.bwl.de,                                 +49 7134 504-0
poststelle@wbi.bwl.de,                                       +49 761 40165-0
poststelle@lwg.bayern.de,                                   +49 931 9801-0
info@lwk-rlp.de,                                                               +49 671 793-0
info@lwk-saarland.de,                                            +49 6826 82895-0
poststelle@rpda.hessen.de;                                     +49 6151 12-0
poststelle-alff-sued@alff.mule.sachsen-anhalt.de                                                              +49 3443 280-0
poststelle.lfulg@smul.sachsen.de;                                        +49 351 2612-0
poststelle@laves.niedersachsen.de                                                               +49 441 57026-0
Legal basis
§ 1 Weinrechts-DVO BW in the version of 20.08.2016 (GBl. 2016, 513), last amended on 13.07.2021 (GBl. S. 660)
https://www.landesrecht-bw.de/jportal/portal/t/7hq/page/bsbawueprod.psml?pid=Dokumentanzeige&showdoccase=1&js_peid=Trefferliste&fromdoctodoc=yes&doc.id=jlr-WeinRDVBW2016V1IVZ&doc.part=X&doc.price=0.0&doc.hl=0#jlr-WeinRDVBW2016V1P1
§ 34 WeinG
https://www.gesetze-im-internet.de/weing_1994/__34.html

 

 
§ 1 Weinrechts-DVO BW in the version of 20.08.2016 (GBl. 2016, 513), last amended on 13.07.2021 (GBl. S. 660)
https://www.landesrecht-bw.de/jportal/portal/t/7hq/page/bsbawueprod.psml?pid=Dokumentanzeige&showdoccase=1&js_peid=Trefferliste&fromdoctodoc=yes&doc.id=jlr-WeinRDVBW2016V1IVZ&doc.part=X&doc.price=0.0&doc.hl=0#jlr-WeinRDVBW2016V1P1
§ 34 WeinG
https://www.gesetze-im-internet.de/weing_1994/__34.html

 

 
https://www.gesetze-bayern.de/Content/Document/BayWeinRAV-1                                                                                                                                             https://www.gesetze-bayern.de/Content/Document/BayWeinRAV-30
§ 34 WeinG
https://www.gesetze-im-internet.de/weing_1994/__34.html
§ 2 Nr. 3 WeinRZustV RP 2011 in the version of 12.10.2011, last amended on 11.12.2017
http://www.landesrecht.rlp.de/jportal/portal/t/151u/page/bsrlpprod.psml/action/portlets.jw.MainAction?p1=3&eventSubmit_doNavigate=searchInSubtreeTOC&showdoccase=1&doc.hl=0&doc.id=jlr-WeinRZustVRP2011V2P2&doc.part=S&toc.poskey=#focuspoint
§ 34 WeinG
https://www.gesetze-im-internet.de/weing_1994/__34.html
§ 9 AgrarZustNeuV SL in the version of 21.03.2017 (Amtsblatt I 2017, 370)
https://recht.saarland.de/bssl/document/jlr-AgrarZustNeuVSL2017pP9
§ 34 WeinG
https://www.gesetze-im-internet.de/weing_1994/__34.html
§ 18 Abs. 1 WeinR/ReblBAV HE in the version of 02.12.2010 (GVBl. I 2010, 460), last amended on 16.03.2017 (GVBl. S 38)
https://www.rv.hessenrecht.hessen.de/bshe/document/jlr-WeinR_ReblBAVHEV5P18
§ 34 WeinG
https://www.gesetze-im-internet.de/weing_1994/__34.html
§ 24 WeinR-DVO in the version of 13.12.2011 (GVBl. LSA 2011, 839), last amended on 07.12.2020 (GVBl. LSA S. 692)
https://www.landesrecht.sachsen-anhalt.de/bsst/document/jlr-WeinRDVST2011pP24
§ 34 WeinG
https://www.gesetze-im-internet.de/weing_1994/__34.html
§ 1 SächsWeinRDVO in the version of 15.03.2016 (SächsGVBl. S. 150), last amended on 05.01.2021 (SächsGVBl. S. 155)
https://www.revosax.sachsen.de/vorschrift/12721-Saechsische-Weinrechtsdurchfuehrungsverordnung#p1
§ 34 WeinG
https://www.gesetze-im-internet.de/weing_1994/__34.html
Eine Landesverordnung zur Durchführung des Weinrechts existiert derzeit in Niedersachsen noch nicht.
https://www.laves.niedersachsen.de/lebensmittel/marktueberwachung/wein/wein-156596.html
§ 34 WeinG
https://www.gesetze-im-internet.de/weing_1994/__34.html
Does the register contain parcel level data? YES YES YES YES YES YES YES YES YES
Are the parcels belonging to the same holder grouped under the same holding-id in the register? YES YES YES YES YES YES YES YES YES
Is the holding geo-referenced with co-ordinates? NO NO NO NO NO NO NO NO NO
How is the vineyard holding identified in the register? Unique ID of the holder Unique ID of the holder Unique ID of the holder Unique ID of the holder Unique ID of the holder Unique ID of the holder Unique ID of the holder Unique ID of the holder Unique ID of the holder
Were all variables taken from vineyard register? YES YES YES YES YES YES YES YES YES
If no, which variables were not taken from the register?
Why were they not taken from the register?
For what purpose the ancillary data sources were used? Other
If other, which was the purpose?

The area data of the vineyards submitted by the respondents was validated with corresponding area data of the Real Estate Cadaster


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

Real Estate Cadaster
Name of the data source 2
Name of the data source 3


Additional comments

The questions "For what purpose the ancillary data sources were used?" and "If other, which was the purpose?" were only answered for Register 1, because the answers for Register 2-8 were the same.
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

In Germany the vineyard registers deliver a defined data set to the statistical offices.
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

Plausibility, consistency.
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

Real Estate Cadaster, individual data of wine and must.


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?

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 Federal Statistical Offices check the consistency of the data. The Federal Statisical Offices compare the results with the previous year (macro-plausiblity). Furthermore changes and occuring discrepancies are discussed by representatives of the Federal Statistical Offices 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 Cadaster. In addition, on-the-spot checks are conducted. In addition the plot data of area are compared with the production of wine and must.
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

(see above)
   
Is there a Quality Report available? YES
If yes, please provide a link
https://www.destatis.de/DE/Methoden/Qualitaet/Qualitaetsberichte/Land-Forstwirtschaft-Fischerei/rebflaechenerhebung.pdf?__blob=publicationFile
   
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

"Qualitätsdatenblätter im Verbund - QuiV": instrument for quality management, especially for decentralised statistics; among other things the goal is to gather information for national quality reports and quality indicators (such as requested by Eurostat); indicators will be based on micro-data and process-based information (e.g. plausibility analysis).


Additional comments
4.2. Quality management - assessment

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

False or incomplete data have considerable economic consequences for the respondents of the viticulture-registers. Therefore they are eager to transmit complete and correct data. 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 Cadaster.
How would you describe the relevance of the structural vineyard statistics?  Satisfactory
How would you describe the accuracy of the structural vineyard statistics?  Good

(see above)
How would you describe the comparability of the structural vineyard statistics with other agricultural statistics, e.g. FSS and Annual Crop Statistics?  Good

The Full Survey of the Vineyards is based on regulations of the European Union and therefore the results are comparable within the EU. Comparability within Germany is ensured since 1990. Nevertheless it has to be pointed out that some wine-growing districts are defined transfederal and therefore the sum of the wine-growing districts is not always the sum by the federal states.

Actually the usuability and the quality of the vineyard register data are not sufficient for the requirements for the IFS-module in 2026.
How would you describe the coherence (over time) of the structural vineyard statistics?  Good

The structural vineyard statistics (Vineyards Survey and Structural Statistics on Vineyards) are self-consistent.

Methodical differences compared to the farm structure survey have to be taken into account: the Survey on Land Use includes results for wine grapes and table grapes, but only for agricultural enterprises (among other things) with vineyards of 0,5 ha / 50 Ar and more. There is no registration of the grape varieties and all the data are collected for the location of the holding and not for the location of the specific vineyards. The structural vineyard statistics (Vineyards Survey and Structural Statistics on Vineyards) include all areas of wine grapes with an area of 0,1 ha / 10 Ar and more (areas of less than 0,1 ha are only included in case of commercial purposes), and the data is refered  to the particular location of the vineyards.
How would you describe the coherence (across regions in your country) of the structural vineyard statistics?  Very good

Different regulations between the Federal states limit the comparability of the vineyard data and lead to different quality of the data between the Federal states.
How would you describe the accessibility of the structural vineyard statistics?  Very good
https://www.statistischebibliothek.de/mir/servlets/MCRFileNodeServlet/DEHeft_derivate_00061626/2030315209004.pdf
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?

All necessary informations concerning the potential and the structure of the wine farms.
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? NO
If yes, how satisfied were the users?


Additional comments
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? Very good
What are the main factors lowering the accuracy? Other errors
If others, which ones?

False or missing data provided by the respondents.


Additional comments

The overall accuracy of the statistic is very good  because of the full survey. Due to the fact that false or incomplete data may have considerable economic disadvantages for the respondents, they are eager to transmit correct data to the institutions responsible for the vineyard register.
6.2. Sampling error

Not available
6.2.1. Sampling error - indicators

Not available
6.3. Non-sampling error

Loss in replies or erroneous information of the subjects can be neglected.
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? YES
If not, which kinds of wine growers are not included?
How many percent of the total number of wine growers are not included?
How big part of the vineyard area is not included?
Impact of under coverage on the data quality None


Over coverage

Does the vineyard register include holdings which are not any more active wine growers? NO
If yes, how many years does an inactive holding stay in the register?
Are former wine grower holdings, which haven't harvested regularly the grapes for more than 5 years, part of the vineyard data collection? NO
Impact of over coverage on the data quality None


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? NO
If yes, to which extent?
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  None
   
Degree of bias caused by coverage errors None
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

To prevent coverage errors the area data transmitted by the respondents is checked against corresponding data from the Real Estate Cadaster of the specific vineyards by the institutions responsible for the vineyards register.
   
In case coverage errors were detected, was the authority responsible for the vineyard register notified? YES
Have actions been taken to improve the register? NO


Additional comments


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
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
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)

Weinbaukartei
When were the data extracted from the vineyard register? 31/12/2020
When was the latest update of the vineyard register done before the data extraction? 31/12/2020
Update frequency of the register Continuous


Additional comments

Answers for Register 1 are also applying for the other registers (Register 2-8).
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 that 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

Survey on Land Use, Farm Structure Survey.
Other registers
   
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 ? Other
Description of the differences

Area under vine: Methodical differences compared to the Survey on Land Use: The Survey on Land Use includes a registration of wine grapes and table grapes, but only for agricultural enterprises (among other specifications) with vineyards of 0,5 ha / 50 Ar and more. The agricultural holdings is a technical-economical unit. All the data are collected for the location of the holdings and not the location of the plot (specific vineyards). The vineyard statistics (Vineyards Survey and Structural Statistics on Vineyards) include all legal units with an area of 0,1 ha / 10 Ar and more (areas of less than 0,1 ha are only included in case of commercial purposes), and the data is refered  to the particular location of the vineyards. Therefore the area under vine is slightly larger in the Structural Statistics on Vineyards in comparison to the Survey on Land Use.
Result of the comparison with FSS Small differences
If differences were detected, to which characteristics are they linked ? Total area
Description of the differences

Methodical differences compared to the Farm Structure Survey: The registration of wine grapes and table grapes is done only for agricultural holdings with vineyards of 0,5 ha / 50 Ar and more (or with other specifications). The agricultural holding is a technical-economical unit. All the data are collected for the location of the holding and not for the location of the plot (specific vineyards). The vineyard statistics (Vineyards Survey and Structural Statistics on Vineyards) include all legal units with an area of 0,1 ha / 10 Ar and more (areas of less than 0,1 ha are only included in case of commercial purposes), and the data is refered  to the particular location of the vineyards. Therefore the number of holdings and the area under vine are larger in the vineyard statistics.
Other comparison results Fully comparable
If differences, please give a brief description of the results of this comparison.


Additional comments
8.4. Coherence - sub annual and annual statistics

Nat 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

German: https://www.destatis.de/DE/Themen/Branchen-Unternehmen/Landwirtschaft-Forstwirtschaft-Fischerei/Wein/_inhalt.html#sprg229022                                       Öko-Anteile beim Weinanbau: https://www.destatis.de/DE/Presse/Pressemitteilungen/2021/06/PD21_N040_41.html

https://www.destatis.de/EN/Press/2021/07/PE21_315_412.html                         
9.2. Dissemination format - Publications

  Availability Links
Publications YES
Bodennutzung der Betriebe (Struktur der Bodennutzung) - Fachserie 3 Reihe 2.1.2 - 2020 vom 18.06.2021 
https://www.destatis.de/DE/Themen/Branchen-Unternehmen/Landwirtschaft-Forstwirtschaft-Fischerei/Publikationen/Bodennutzung/bodennutzung-2030212207004.pdf;jsessionid=ED75E851A100DCDDE764123B8D4A956D.live721?__blob=publicationFile
Betriebe mit Weinbau  - Agrarstrukturerhebung - Fachserie 3 Reihe 2.2.3 - 2016
https://www.statistischebibliothek.de/mir/receive/DESerie_mods_00000439
Landwirtschaftliche Bodennutzung - Rebflächen - Fachserie 3 Reihe 3.1.5 - 2019
https://www.statistischebibliothek.de/mir/receive/DEHeft_mods_00128145
Grunderhebung der Rebflächen - Fachserie 3 Reihe 3.1.5 - 2020
https://www.statistischebibliothek.de/mir/receive/DEHeft_mods_00135684
Rebflächen nach den wichtigsten Rebsorten im Zeitvergleich
https://www.destatis.de/DE/Themen/Branchen-Unternehmen/Landwirtschaft-Forstwirtschaft-Fischerei/Wein/Tabellen/rebflaeche.html
Wachstum und Ernte - Weinmost - August - Fachserie 3 Reihe 3.2.1 - 06/2021

https://www.destatis.de/DE/Themen/Branchen-Unternehmen/Landwirtschaft-Forstwirtschaft-Fischerei/Wein/_inhalt.html#sprg239642
Wachstum und Ernte - Weinmost - September - Fachserie 3 Reihe 3.2.1 - 10/2020 
https://www.statistischebibliothek.de/mir/receive/DEHeft_mods_00132009
Wachstum und Ernte - Weinmost - Oktober - Fachserie 3 Reihe 3.2.1 - 12/2020 
https://www.statistischebibliothek.de/mir/receive/DEHeft_mods_00132693
Wachstum und Ernte - Weinmost - Fachserie 3 Reihe 3.2.1 - 15/2020 
https://www.statistischebibliothek.de/mir/receive/DEHeft_mods_00135727
Weinerzeugung - Fachserie 3 Reihe 3.2.2 - 2020
https://www.destatis.de/DE/Themen/Branchen-Unternehmen/Landwirtschaft-Forstwirtschaft-Fischerei/Wein/Publikationen/Downloads-Wein/weinerzeugung-2030322207004.pdf;jsessionid=43716655A40FC6EEEA2FF7C93B14BF1B.live722?__blob=publicationFile
Weinbestände - Fachserie 3 Reihe 3.2.3 - 2020 (korrigierte Ausgabe vom 07.01.2021)
https://www.statistischebibliothek.de/mir/receive/DEHeft_mods_00133224
Publications in English YES

https://www.destatis.de/EN/Themes/Economic-Sectors-Enterprises/Agriculture-Forestry-Fisheries/Wine/_node.html
9.3. Dissemination format - online database

  Availability Links
On-line database accessible to users  YES

https://www-genesis.destatis.de/genesis/online?operation=themes&levelindex=0&levelid=1629206683277&code=41#abreadcrumb
Website YES

https://www.destatis.de/DE/Home/_inhalt.html

https://www.destatis.de/EN/Home/_node.html
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  NO
9.5. Dissemination format - other

Not available.
9.6. Documentation on methodology

  Availability Links
Methodological report NO
Scientific publications NO
Definitions and classifications NO
9.7. Quality management - documentation

  Availability Links
Quality Report YES

Qualitätsbericht - Grunderhebung der Rebflächen und Rebflächenerhebung

https://www.destatis.de/DE/Methoden/Qualitaet/Qualitaetsberichte/Land-Forstwirtschaft-Fischerei/rebflaechenerhebung.pdf?__blob=publicationFile
Metadata NO
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