Orchard (orch)

National Reference Metadata in ESS Standard for Orchard survey Quality Report Structure (esqrsor)

Compiling agency: Czech Statistical Office


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

Czech Statistical Office
1.2. Contact organisation unit

Department of Agriculture, Forestry and Environment Statistics
1.5. Contact mail address

Na padesátém 81, 100 82 Praha 10, Czech Republic


2. Statistical presentation Top
2.1. Data description

Main characteristics

2.1.1 Describe shortly the main characteristics of the statistics  

Structural orchard statistics provide data on the area, age and density of apple, pear, peach, nectarine, apricot, citrus fruit and olive orchards and vineyards producing table grapes. The statistics are collected from surveys and administrative data sources. Data are collected on national level and for some variables also at NUTS1 level. The data collection concerns countries with more than 1000 ha of area for any single fruit tree type.
2.1.2 Which of the fruit tree types are covered by the data collection?  Dessert apple trees
Dessert pear trees
Apricot trees
Other
2.1.3 If Other, please specify

Peach, nectarine, cherry, sour cherry, plum and others fruit trees and bushes


Reference period

2.1.4 Reference period of the data collection 

2017
2.1.5 When was the data collection done (month(s) and year)

May 2017


National legislation

2.1.6 Is there a national legislation covering these statistics?  No
If Yes, please answer all the following questions.   
2.1.7 Name of the national legislation 
2.1.8 Link to the national legislation 
2.1.9 Responsible organisation for the national legislation 
2.1.10 Year of entry into force of the national legislation 
2.1.11 Please indicate which variables required under EU regulation are not covered by national legislation, if any.
2.1.12 Please indicate which national definitions differ from those in the EU regulation, if any. 
2.1.13 Please indicate which additional variables have been collected if compared to Regulation (EU) 1337/2011, if any?
2.1.14 Is there a legal obligation for respondents to reply? 


Additional comments on data description

The planted area of peach and nectarine trees is 340 ha (lower than 1000 ha). These data contain a large amount of confidential information, so they were not transmitted.
2.2. Classification system

Species and variety group classification, age and density classifications available in RAMON
2.3. Coverage - sector

Growing of perennial crops (NACE A01.2)
2.4. Statistical concepts and definitions

See: Orchard statistics Handbook

2.4.1 Do national crop item definitions differ from the definitions in the Handbook  (D-flagged data)? No
2.4.2 If Yes, please specify the items and the differences
2.4.3 If the fruits for industrial processing are not separately surveyed, are they included in dessert fruit categories? Yes
2.4.4 If yes, for which fruit tree types? Apple trees
Pear trees
In case data are delivered for one of the items below, describe the 10 biggest varieties included in the item:   
2.4.5 Other dessert apples n.e.c.

Rubin, Startan, Topaz, Rubinola, Bohemia, Gloster, James Grieve, Goldstar, Ontario, Melrose
2.4.6 Other dessert pears n.e.c.

Lucasova (= Alexander Lucas), Bohemica, Clappova (= Clapp's favourite), Erika, Dicolor, Amfora, Pařížanka (= Comtesse de Paris), Charneuská (= Fondante de Charneu), Madame Verté, Dita
2.4.7 Other oranges n.e.c.
2.4.8 Other small citrus fruits, including hybrids
2.5. Statistical unit

Utilised agricultural area used for the cultivation of permanent crops mentioned in point 2.1, cultivated by an agricultural holding producing entirely or mainly for the market.
2.6. Statistical population

All agricultural holdings growing entirely or mainly for the market permanent crops mentioned in point 2.1.
2.7. Reference area
2.7.1 Geographical area covered

The entire territory of the country.
2.7.2 Which special Member State territories are included?

Not applicable
2.8. Coverage - Time

2007-2017
2.9. Base period


3. Statistical processing Top
3.1. Source data

Overall summary

3.1.1 Total number of different data sources used

2
The breakdown is as follows: 
3.1.2 Total number of sources of the type "Census"

1
3.1.3 Total number of sources of the type "Sample survey"

0
3.1.4 Total number of sources of the type "Administrative source"

1
3.1.5 Total number of sources of the type "Experts"

0
3.1.6 Total number of sources of the type "Other sources"

0


Census

These questions only apply to censuses. If there is more than one census, please describe the main census below and the additional ones in table 3.1 of the annexed Excel file 
3.1.7 Name/Title

Orchard Survey 2017
3.1.8 Name of Organisation responsible

Czech Statistical Office
3.1.9 Main scope

The area, age and density of the orchards cultivated by agricultural holdings not registered in the Orchard Register (administrative data source) producing fruits entirely or mainly for the market.
3.1.10 Target fruit tree types Dessert apple trees
Dessert pear trees
Apricot trees
Other
3.1.11 List used to build the frame

Farm Register (maintained by the Czech Statistical Office)

Orchard register
3.1.12 Any possible threshold values

At least 0.20 ha of orchards.
3.1.13 Population size

749
3.1.14 Additional comments

The Orchard Survey 2017 covered all fruit producers registered in the Farm Register with at least 0.20 ha of fruit orchards that were not registered in the Orchard Register (administrative data source).


Sample survey

These questions only apply to surveys. If there is more than one survey, please describe the main survey below and the additional ones in table 3.1 of the annexed Excel file 
3.1.15 Name/Title
3.1.16 Name of Organisation responsible
3.1.17 Main scope
3.1.18 Target fruit tree types
3.1.19 List used to build the frame
3.1.20 Any possible threshold values
3.1.21 Population size
3.1.22 Sample size
3.1.23 Sampling basis
3.1.24 If Other, please specify
3.1.25 Type of sample design
3.1.26 If Other, please specify
3.1.27 If Stratified, number of strata
3.1.28 If Stratified, stratification criteria
3.1.29 If Other, please specify
3.1.30 Additional comments


Administrative source

These questions only apply to administrative sources. If there is more than one administrative source, please describe the main source below and the additional ones in table 3.1 of the annexed Excel file 
3.1.31 Name/Title

Orchard Register
3.1.32 Name of Organisation responsible

Central Institute for Supervising and Testing in Agriculture subordinated to the Ministry of Agriculture of the Czech Republic.
3.1.33 Contact information (email and phone) Restricted from publication
3.1.34 Main administrative scope

The Orchard Register contains detailed information about orchards, namely area, species, varieties, year of planting, density and additional information. Main administrative scope is to record orchards in the context of subsidy administration.

The Orchard Register belongs to the information system of the MoA (IACS-LPIS).
3.1.35 Target fruit tree types  Dessert apple trees
Dessert pear trees
Apricot trees
Other
3.1.36 Geospatial Coverage National
Regional
3.1.37 Update frequency Continuous
3.1.38 Legal basis

Law No.252/1997 Coll., on agriculture
3.1.39 Are you able to access directly to the micro data? No
3.1.40 Are you able to check the plausibility of the data, namely by contacting directly the units? Yes
3.1.41 How would you assess the proximity of the definitions and concepts (including statistical units) used in the administrative source with those required in the EU regulation? Very good
3.1.42 Please list the main differences between the administrative source and the statistical definitions and concepts

No differences
3.1.43 Is a different threshold used in the administrative source and statistical data? No
3.1.44 If Yes, please specify
3.1.45 Additional comments


Experts

If there is more than one Expert source, please describe the main one below and the additional ones in table 3.1 of the annexed Excel file 
3.1.46 Name/Title
3.1.47 Primary purpose
3.1.48 Target fruit tree types
3.1.49 Legal basis
3.1.50 Update frequency
3.1.51 Expert data supplier
3.1.52 If Other, please specify
3.1.53 How would you assess the quality of those data?
3.1.54 Additional comments


Other sources

If there is more than one other statistical activity, please describe the main one below and the additional ones in table 3.1 of the annexed Excel file 
3.1.55 Name/Title
3.1.56 Name of Organisation
3.1.57 Primary purpose
3.1.58 Target fruit tree types 
3.1.59 Data type
3.1.60 If Other, please specify
3.1.61 How would you assess the quality of those data?
3.1.62 Additional comments
3.2. Frequency of data collection

Every 5 years
3.3. Data collection

Census

These questions only apply to censuses. If there is more than one census, please describe the main census below and the additional ones in table 3.3 of the annexed Excel file 
3.3.1 Name/Title

Orchard Survey 2017
3.3.2 Methods of data collection Postal questionnaire
Electronic questionnaire
Telephone interview
Face-to-face interview
3.3.3 If Other, please specify
3.3.4 If face-to-face or telephone interview, which method is used? Paper questionnaire
Electronic questionnaire
3.3.5 Data entry method, if paper questionnaires? Manual
3.3.6 Please annex the questionnaire used (if very long: please provide the hyperlink)

http://apl.czso.cz/pll/vykazy/pdfsoub?xid=2394&xtyp=V
3.3.7 Additional comments


Sample survey

These questions only apply to surveys. If there is more than one survey, please describe the main survey below and the additional ones in table 3.3 of the annexed Excel file 
3.3.8 Name/Title
3.3.9 Methods of data collection
3.3.10 If Other, please specify
3.3.11 If face-to-face or telephone interview, which method is used?
3.3.12 Data entry method, if paper questionnaires?
3.3.13 Please annex the questionnaire used (if very long: please provide the hyperlink)
3.3.14 Additional comments


Administrative source

These questions only apply to administrative sources. If there is more than one administrative source, please describe the main source below and the additional ones in table 3.3 of the annexed Excel file 
3.3.15 Name/Title

Orchard Register
3.3.16 Extraction date

1.5.2017
3.3.17 How easy is it to get access to the data? Access granted after negotiations
3.3.18 Data transfer method

Electronic
3.3.19 Additional comments


Experts

If there is more than one other statistical activity, please describe the main one below and the additional ones in table 3.3 of the annexed Excel file 
3.3.20 Name/Title
3.3.21 Methods of data collection
3.3.22 Additional comments
3.4. Data validation
3.4.1 Which kind of data validation measures are in place? Manual
Automatic
3.4.2 What do they target? Outliers
Completeness
Aggregates
Consistency
3.4.3 If Other, please specify
3.5. Data compilation
3.5.1 Describe the data compilation process

The Structural orchard statistics 2017 was compiled by the CZSO on the basis of the Orchard survey 2017 and the administrative data source. Standard IT applications in the frame of the Statistical Information System and the Statistical Metadata System of the CZSO were used for data collection, entry, processing and dissemination.
3.5.2 Additional comments
3.6. Adjustment

Not applicable


4. Quality management Top
4.1. Quality assurance
4.1.1 Is there a quality management system used in the organisation? No
4.1.2 If yes, how is it implemented?
4.1.3 Has a peer review been carried out? No
4.1.4 If Yes, which were the main conclusions?
4.1.5 What quality improvements are foreseen? Improve data validation
Further training
Further automation
4.1.6 If Other, please specify
4.1.7 Additional comments
4.2. Quality management - assessment

Development since the last quality report

4.2.1 Overall quality Stable
4.2.2 Relevance Stable
4.2.3 Accuracy and reliability Stable
4.2.4 Timeliness and punctuality Stable
4.2.5 Comparability Stable
4.2.6 Coherence Stable
4.2.7 Additional comments


5. Relevance Top
5.1. Relevance - User Needs
5.1.1 If certain user needs are not met, please specify which and why
5.1.2 Please specify any plans to satisfy needs more completely in the future
5.1.3 Additional comments
5.2. Relevance - User Satisfaction
5.2.1 Has a user satisfaction survey been conducted? No
If Yes, please answer all the following questions 
5.2.2 Year of the user satisfaction survey
5.2.3 How satisfied were the users?
5.2.4 Additional comments
5.3. Completeness
5.3.1 Data completeness - rate

100%
5.3.2 If not complete, which characteristics are missing?
5.3.3 Additional comments


6. Accuracy and reliability Top
6.1. Accuracy - overall
6.1.1 How good is the accuracy? Good
6.1.2 What are the main factors lowering the accuracy? Coverage error
6.1.3 If Other, please specify
6.1.4 Additional comments
6.2. Sampling error

Sample survey

These questions only apply to surveys. If there is more than one survey, please describe the main survey below and the additional ones in table 6.2 of the annexed Excel file 
6.2.1 Name/Title
6.2.2 Methods used to assess the sampling error
6.2.3 If Other, please specify
6.2.4 Methods used to derive the extrapolation factor
6.2.5 If Other, please specify
6.2.6 If coefficients of variation are calculated, please describe the calculation methods and formulas
6.2.7 Sampling error - indicators

Please provide the coefficients of variation in %

  CV (%)
Dessert apple trees  
Apple trees for industrial processing  
Dessert pear trees  
Pear trees for industrial processing  
Apricot trees  
Dessert peach and nectarine trees  
Peach and nectarine trees for industrial processing (including group of Pavie)  
Orange trees  
Small citrus fruit trees  
Lemon trees  
Olive trees  
Table grape vines  
6.2.8 Additional comments
6.3. Non-sampling error

See sections below.
6.3.1. Coverage error

Census

These questions only apply to censuses. If there is more than one census, please describe the main census below and the additional ones in table 6.3 of the annexed Excel file 
6.3.1.1 Name/Title

Orchard Survey 2017
Over-coverage
6.3.1.2 Does the sample frame include wrongly classified units that are out of scope? Yes
6.3.1.3 What methods are used to detect the out-of scope units?

Out-of-scope units were identified during the data collection; such units either did not reach the threshold level or ceased their activity.
6.3.1.4 Does the sample frame include units that do not exist in practice? Yes
6.3.1.5 Over-coverage - rate

0%
6.3.1.6 Impact on the data quality Low
Under-coverage
6.3.1.7 Does the sample frame include all units falling within the scope of this survey? No
6.3.1.8 If Not, which units are not included?

Newly established units or successors for extinct entities belonging to the target population were involved in the survey.
6.3.1.9 How large do you estimate the proportion of those units? (%)

3%
6.3.1.10 Impact on the data quality Low
Misclassification
6.3.1.11 Impact on the data quality Low
Common units
6.3.1.12 Common units - proportion

0%
6.3.1.13 Additional comments

Every unit was counted only once. There was no overlap between the administrative source (Orchard Register) and the Orchard Survey 2017.


Sample survey

These questions only apply to surveys. If there is more than one survey, please describe the main survey below and the additional ones in table 6.3 of the annexed Excel file 
6.3.1.14 Name/Title
Over-coverage
6.3.1.15 Does the sample frame include wrongly classified units that are out of scope?
6.3.1.16 What methods are used to detect the out-of scope units?
6.3.1.17 Does the sample frame include units that do not exist in practice?
6.3.1.18 Over-coverage - rate
6.3.1.19 Impact on the data quality
Under-coverage 
6.3.1.20 Does the sample frame include all units falling within the scope of this survey?
6.3.1.21 If Not, which units are not included?
6.3.1.22 How large do you estimate the proportion of those units? (%)
6.3.1.23 Impact on the data quality
Misclassification
6.3.1.24 Impact on the data quality
Common units 
6.3.1.25 Common units - proportion
6.3.1.26 Additional comments


Administrative data

These questions only apply to administrative sources. If there is more than one administrative source, please describe the main source below and the additional ones in table 6.3 of the annexed Excel file 
6.3.1.27 Name/Title of the administrative source

Orchard Register
Over-coverage
6.3.1.28 Does the administrative source include wrongly classified units that are out of scope? No
6.3.1.29 What methods are used to detect the out-of scope units?

None
6.3.1.30 Does the administrative source include units that do not exist in practice? No
6.3.1.31 Over-coverage - rate

0%
6.3.1.32 Impact on the data quality None
Under-coverage
6.3.1.33 Does the administrative source include all units falling within the scope of this survey? Yes
6.3.1.34 If Not, which units are not included?
6.3.1.35 How large do you estimate the proportion of those units? (%)
6.3.1.36 Impact on the data quality None
Misclassification 
6.3.1.37 Impact on the data quality None
6.3.1.38 Additional comments
6.3.2. Measurement error

Census

These questions only apply to censuses. If there is more than one census, please describe the main census below and the additional ones in table 6.3 of the annexed Excel file 
6.3.2.1 Name/Title

Orchard Survey 2017
6.3.2.2 Is the questionnaire based on usual concepts for respondents? Yes
6.3.2.3 Number of censuses already performed with the current questionnaire?

3
6.3.2.4 Preparatory testing of the questionnaire? No
6.3.2.5 Number of units participating in the tests? 
6.3.2.6 Explanatory notes/handbook for surveyors/respondents?  Yes
6.3.2.7 On-line FAQ or Hot-line support for surveyors/respondents? Yes
6.3.2.8 Are there pre-filled questions? No
6.3.2.9 Percentage of pre-filled questions out of total number of questions

0%
6.3.2.10 Other actions taken for reducing the measurement error?

Data checking was performed during the data collection and data entry. The obtained data were compared with the data of the previous Orchard survey, the ACS results and with the area recorded in the Farm Register.
6.3.2.11 Additional comments


Sample survey

These questions only apply to surveys. If there is more than one survey, please describe the main survey below and the additional ones in table 6.3 of the annexed Excel file 
6.3.2.12 Name/Title
6.3.2.13 Is the questionnaire based on usual concepts for respondents?
6.3.2.14 Number of surveys already performed with the current questionnaire?

 
6.3.2.15 Preparatory testing of the questionnaire?
6.3.2.16 Number of units participating in the tests? 
6.3.2.17 Explanatory notes/handbook for surveyors/respondents? 
6.3.2.18 On-line FAQ or Hot-line support for surveyors/respondents?
6.3.2.19 Are there pre-filled questions?
6.3.2.20 Percentage of pre-filled questions out of total number of questions
6.3.2.21 Other actions taken for reducing the measurement error?
6.3.2.22 Additional comments
6.3.3. Non response error

Census

These questions only apply to censuses. If there is more than one census, please describe the main census below and the additional ones in table 6.3 of the annexed Excel file 
6.3.3.1 Name/Title of the survey

Orchard Survey 2017
6.3.3.2 Unit non-response - rate

2%
6.3.3.3 How do you evaluate the recorded unit non-response rate in the overall context? Low
6.3.3.4 Measures taken for minimising the unit non-response Follow-up interviews
Reminders
6.3.3.5 If Other, please specify
6.3.3.6 Item non-response rate

Not applicable
6.3.3.7 Item non-response rate - Minimum

0%
6.3.3.8 Item non-response rate - Maximum

100%
6.3.3.9 Which items had a high item non-response rate? 
6.3.3.10 Additional comments


Sample survey

These questions only apply to surveys. If there is more than one survey, please describe the main survey below and the additional ones in table 6.3 of the annexed Excel file 
6.3.3.11 Name/Title of the survey
6.3.3.12 Unit non-response - rate

 
6.3.3.13 How do you evaluate the recorded unit non-response rate in the overall context?
6.3.3.14 Measures taken for minimising the unit non-response
6.3.3.15 If Other, please specify
6.3.3.16 Item non-response rate
6.3.3.17 Item non-response rate - Minimum
6.3.3.18 Item non-response rate - Maximum
6.3.3.19 Which items had a high item non-response rate? 
6.3.3.20 Additional comments
6.3.4. Processing error

Census

These questions only apply to censuses. If there is more than one census, please describe the main census below and the additional ones in table 6.3 of the annexed Excel file 
6.3.4.1 Name/Title

Orchard Survey 2017
6.3.4.2 Imputation - rate

0%
6.3.4.3 Imputation - basis
6.3.4.4 If Other, please specify
6.3.4.5 Additional comments


Sample survey

These questions only apply to surveys. If there is more than one survey, please describe the main survey below and the additional ones in table 6.3 of the annexed Excel file 
6.3.4.6 Name/Title
6.3.4.7 Imputation - rate
6.3.4.8 Imputation - basis
6.3.4.9 If Other, please specify
6.3.4.10 How do you evaluate the impact of imputation on Coefficients of Variation?
6.3.4.11 Additionnal comments
6.3.5. Model assumption error
6.4. Seasonal adjustment
6.5. Data revision - policy
6.6. Data revision - practice
6.6.1 Data revision - average size

None
6.6.2 Were data revisions due to conceptual changes (e.g. new definitions)  carried out since the last quality report? No
6.6.3 What was the main reason for the revisions?
6.6.4 How do you evaluate the impact of the revisions?
6.6.5 Additional comments


7. Timeliness and punctuality Top
7.1. Timeliness
7.1.1 When were  the first  results for the reference period published?

January 2018
7.1.2 When were  the final results for the reference period published?

January 2018
7.1.3 Reasons for possible long production times?
7.2. Punctuality
7.2.1 Were data released nationally according to a pre-announced schedule (Release Calendar)? Yes
7.2.2 If Yes, were data released on the target date? Yes
7.2.3 If No, reasons for delays?
7.2.4 Number of days between the national release date of data and the target date

0


8. Coherence and comparability Top
8.1. Comparability - geographical

To be assessed by Eurostat
8.1.1. Asymmetry for mirror flow statistics - coefficient
8.2. Comparability - over time
8.2.1 Length of comparable time series

2005-2017
8.2.2 Have there been major breaks in the time series? Yes
8.2.3 If Yes, please specify the year of break and the reason

2015
8.2.4 Additional comments

Government Regulation No. 307/2014 Coll., on the details of registration of land use based on user relations, introduced a significant change of the definition of the orchard. The change mainly concerns the specification of a minimum density of fruit trees and bushes (100 trees or 800 bushes per hectare). This change led to reclassification of some orchards as other types of permanent crops. This fact significantly affected the comparability with the previous results.
8.3. Coherence - cross domain
8.3.1 With which other national data sources have the data been compared? Annual crop statistics 2017
FSS 2016
IACS
8.3.2 If Other, please specify
8.3.3 Describe briefly the results of comparisons

Results should be expressed as percentage deviation from the corresponding areas in the orchard survey.

  Annual Crop Statistics (2017) FSS (2016) IACS Other source
Dessert apple trees +6.4%      
Apple trees for industrial processing        
Dessert pear trees +23.1%      
Pear trees for industrial processing        
Apricot trees +4.4%  

 

  
Dessert peach and nectarine trees        
Peach and nectarine trees for industrial processing (including group of Pavie)        
Orange trees        
Small citrus fruit trees        
Lemon trees        
Olive trees        
Table grape vines        
8.3.4 If no comparisons have been made, explain why
8.3.5 Additional comments

Comparison with FSS 2016 and IACS was performed; it concerned only the total area of orchards.

The total areas of apple, pear and apricot orchards in the Structural orchard statistics 2017 were higher in comparison with their production area recorded in the ACS. The biggest difference (+23%) was recorded for pear orchards because a large proportion (16%) of pear orchards in the Structural orchard statistics was not yet in production (age class up to 4 years).
8.4. Coherence - sub annual and annual statistics

Sub annual and annual statistical outputs related to orchards are coherent.
8.5. Coherence - National Accounts

Not applicabe.
8.6. Coherence - internal

The Structural orchard statistics contains data from two different sources (Orchard Survey 2017 and Orchard Register). Data from both sources are coherent.


9. Accessibility and clarity Top
9.1. Dissemination format - News release
9.1.1 Do you publish a news release? No
9.1.2 If Yes, please provide a link
9.2. Dissemination format - Publications
9.2.1 Do you produce a paper publication? No
9.2.2 If Yes, is there an English version?
9.2.3 Do you produce an electronic publication? Yes
9.2.4 If Yes, is there an English version? Yes
9.2.5 Please provide a link

https://www.czso.cz/csu/czso/fruit-orchards-structure-survey-2017
9.3. Dissemination format - online database
9.3.1 Data tables - consultations

None
9.3.2 Is an on-line database accessible to users? Yes
9.3.3 Please provide a link

https://vdb.czso.cz/vdbvo2/faces/en/index.jsf?page=statistiky#katalog=30840
9.4. Dissemination format - microdata access
9.4.1 Are micro-data accessible to users? No
9.4.2 Please provide a link
9.5. Dissemination format - other

None
9.6. Documentation on methodology
9.6.1 Are national reference metadata files available? No
9.6.2 Please provide a link
9.6.3 Are methodological papers available? Yes
9.6.4 Please provide a link

https://www.czso.cz/csu/czso/fruit-orchards-structure-survey-2017
9.6.5 Is a handbook available? No
9.6.6 Please provide a link
9.7. Quality management - documentation
9.7.1 Metadata completeness - rate

100%
9.7.2 Metadata - consultations
9.7.3 Is a quality report available? Yes
9.7.4 Please provide a link

https://www.czso.cz/csu/czso/agriculture-quality-reports


10. Cost and Burden Top
10.1 Efficiency gains if compared to the previous quality report Increased use of administrative data
On-line surveys
Further automation
Further training
10.2 If Other, please specify
10.3 Burden reduction measures since the previous quality report Less respondents
Easier data transmission
10.4 If Other, please specify


11. Confidentiality Top
11.1. Confidentiality - policy
11.1.1 Are confidential data transmitted to Eurostat? Yes
11.1.2 If yes, are they confidential in the sense of Reg. (EC) 223/2009? Yes
11.1.3 Describe the data confidentiality policy in place

The rules for providing data by the CZSO to third parties are based on national and EU legislation, especially on the Act No. 89/1995 Coll., on the State Statistical Service, as amended.
11.2. Confidentiality - data treatment
Restricted from publication


12. Comment Top

The Structural orchard statistics 2017 covered all fruit producers registered in the Farm Register with at least 0.20 ha of orchards producing fruits entirely or mainly for the market. A combination of an administrative data source and a survey was used. The Structural orchard statistics included 1 755 units in total. Data for 1 006 units utilising 94% of the total orchard area were taken from the Orchard Register. The Orchard Survey 2017 included the remaining 749 units which plant fruit trees on 6% of the total orchard area.


Related metadata Top


Annexes Top
ESQRS_ANNEX_CZ