Vineyard (vit)

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

Compiling agency: REPUBLIC OF CROATIA - CROATIAN BUREAU OF STATISTICS Address: Ilica 3 10000 Zagreb Republic of Croatia phone: (+385 1) 48 06 111 www.dzs.hr  

Time Dimension: 2015-50

Data Provider: HR1

Data Flow: PERMCRP_VINEQ_5


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: EUROPEAN STATISTICAL DATA SUPPORT

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1. Contact Top
1.1. Contact organisation

REPUBLIC OF CROATIA - CROATIAN BUREAU OF STATISTICS

Address:

Ilica 3

10000 Zagreb

Republic of Croatia

phone: (+385 1) 48 06 111

www.dzs.hr

 

1.2. Contact organisation unit

Crop Production Statistics and Register of Agricultural Holdings Unit,

Branimirova 19, 10 000 Zagreb,

Phone:+385 (0) 1 4893-583,

Fax: +385 (0) 1 4893-588

 

1.5. Contact mail address

Branimirova 19, 10000 Zagreb, Hrvatska/Croatia

 


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.

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
Is there a national legislation covering structural vineyrd statistics? YES
Name of the legislation

National Statistics Act (OJ HR No. 103/03, 75/09. and 59/12.)

If yes, provide a link

http://www.dzs.hr/Eng/about_us/Legals/Official_Statistics_Act_2013.pdf

Scope and coverage of the legislation

The Official Statistics Act, lays down in its Article 41 (OG, No 103/03; 75/09, 59/12, and 12/13 - consolidated version) the right of the CBS to use all administrative data sources for the purpose of conducting official statistics tasks.

Furthermore, Article 41a determines the obligations of the holders of the administrative data to allow an assessment of the content and potential possibilities in the data sources by the special request of the CBS and rights of CBS to provide methodological support for development of the administrative sources of data for requirements of official statistics.

According to Article 41b the holders of administrative data sources have to familiarise CBS in a timely manner with the intention of collecting administrative data and changes in data content contained in existing administrative sources and subsequently submit the metadata for administrative data which is used for statistical purposes as well as to notify CBS in writing about introduction, amending or expansion of administrative data sources before such matters.

Responsable organisation for the legislation

Croatian Bureau of Statistics

 

Precision requirements 

National legislation does not deal with precision requirements needed for the Vineyard survey.

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. The data collection is limited to the countries having a bigger than 500 ha area of vines grown for other purposes than table grapes.

2.7. Reference area

NUTS2

2.8. Coverage - Time

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

The first structural vineyard survey is organised in 2009

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

Only one survey in 2009 is conducted.

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

31/07/2015


3. Statistical processing Top
3.1. Source data

Is the register maintained at national or regional level? National                                
  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)

Vineyard Register

Data owner (organisation)

Paying Agency for Agriculture, Fisheries and Rural Development

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

info@apprrr.hr

(+385 1) 6002-700

Legal basis

Commission Regulation (EC) No 436/2009

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? YES
Is the holding geo-referenced with co-ordinates? Yes, at parcel level
How is the vineyard holding identified in the register? Unique ID of holding
Were all variables taken from vineyard register? YES
If no, which variables were not taken from the register?
Why were they not taken from the register? Data were missing
For what purpose the ancillary data sources were used? Data completion
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

The Institute for Seeds and Seedlings.

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


Additional comments

3.2. Frequency of data collection

The EU-level vineyard data collection is done every 5 years under Regulation (EU) 1337/2011. The first data collection takes place 2015. From 1979 until 2009 there was a data collection done every 10 years (basic data) and a smaller annual survey yearly (Council Regulation (EEC) No 357/79 on statistical surveys under vines).

Have you done any national data collections on the structure of vineyards since the 2009 EU-level data collection and before the 2015 EU-level collections? YES
If yes, in which years were they implemented?

10/2009


Additional comments

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? YES
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

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


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?

The Agency periodically carries out visual and administrative control data. The controls consist of: visual control LPIS to block DOF 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.

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
   
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

4.2. Quality management - assessment

   Grading  Comments
How would you describe the overall quality of the structural vineyard statistics?  Good
How would you describe the relevance of the structural vineyard statistics?  Good
How would you describe the accuracy of the structural vineyard statistics?  Good
How would you describe the comparability of the structural vineyard statistics with other agricultural statistics, e.g. FSS and Annual Crop Statistics?  Good
How would you describe the coherence (over time) of the structural vineyard statistics?  Good
How would you describe the coherence (across regions in your country) of the structural vineyard statistics?  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? 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

5.3.1. 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? Coverage errors
If others, which ones?


Additional comments

6.2. Sampling error

NA

6.2.1. Sampling error - indicators

NA

6.3. Non-sampling error

NA

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?

Some of producers who produce grapes for their own use are out of Register.

How many percent of the total number of wine growers are not included?

10 % out of total number of producers are not included.

How big part of the vineyard area is not included?

20 % out of total vineyard area.

Impact of under coverage on the data quality Moderate


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 the grapes for more than 7 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
   
In case coverage errors were detected, was the authority responsible for the vineyard register notified? YES
Have actions been taken to improve the register? Not known


Additional comments


6.3.2. Measurement error

Statistics corrects possible errors of measurement using the logic-numeric control. We are trying to avoid the measurement error by control data and process validation.

After data entry, extreme values of variables are checked and corrected if necessary.

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 available.

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?

NA


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)

Vineyard Register

When were the data extracted from the vineyard register? 31/07/2015
When was the latest update of the vineyard register done before the data extraction? 30/06/2016
Update frequency of the register Continuous


Additional comments

7.1.1. Time lag - first result

Not available.

7.1.2. Time lag - final result

Not available.

7.2. Punctuality

Was the dataset delivered to Eurostat by the deadline (30 September 2016)? 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

8.2. Comparability - over time

Was the national methodology used for compiling 2009 and 2015 structural vineyared data comparable?  Minor differences
Were the definitions used for compiling 2009 and 2015 structural vineyared data comparable?  Minor differences
Was the regional breakdown used for compiling 2009 and 2015 structural vineyared data comparable?  NUTS regions but differences have occurred between 2009 and 2015


Additional comments

8.3. Coherence - cross domain

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

IACS

   
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 ? Total area
Description of the differences

There are some differences between the population covered in the ACS and the population covered by Vineyard survey. The difference is in number of winegrowers who produce for their own use and they are covered in ACS, but not in Vineyard survey.

Result of the comparison with FSS Small differences
If differences were detected, to which characteristics are they linked ? Total area
Description of the differences

There are some differences between the population covered in the ACS and the population covered by Vineyard survey. The difference is in number of winegrowers who produce for their own use and they are covered in ACS, but not in Vineyard survey.

Other comparison results Small differences
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
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  NO
Website YES

http://www.dzs.hr/

 

Free/against payment data access policy Free  
9.3.1. Data tables - consultations
9.4. Dissemination format - microdata access

  Availability Links
Micro-data access for researchers  YES
9.5. Dissemination format - other

NA

9.6. Documentation on methodology

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

  Availability Links
Quality Report YES
Metadata YES
9.7.1. Metadata completeness - rate

Not available.

9.7.2. Metadata - consultations

Not available.


10. Cost and Burden Top
Restricted from publication


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


12. Comment Top

NA


Related metadata Top


Annexes Top