Crop balance sheets (apro

Crop balance sheets (apro_cbs)

National Reference Metadata in ESS Standard for Crops Balance Sheet Quality Reports Structure (esqrsbs)

Compiling agency: Statistical Office of the Slovak Republic

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

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1. Contact

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1.1. Contact organisation

Statistical Office of the Slovak Republic

1.2. Contact organisation unit

Department of the Agricultural Statistics

1.5. Contact mail address

Statistical Office of the Slovak Republic

Miletičova 3

824 67 Bratislava

Slovakia

2. Statistical presentation

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2.1. Data description

Main characteristics

2.1.1. Describe shortly the main characteristics of the statistics

Crop Balances for cereals cover supply and use of the main cereals (common wheat & spelt, durum wheat, barley and grain maize & corn-cob-mix) and main oilseeds.

Reference period

2.1.2. Reference period of the data collection	2020
2.1.3. Is the reference period based on the calendar year starting January 1st and ending December 31st?	Yes
2.1.4. If No, please specify

National legislation

2.1.5. Is there a national legislation covering these statistics?	Yes
If Yes, please answer all the following questions.
2.1.6. Name of the national legislation	Act No 540/2001 of Collection of law on state statistics
2.1.7. Link to the national legislation	https://www.noveaspi.sk/products/lawText/1/52104/1/2
2.1.8. Responsible organisation for the national legislation	Statistical Office of the Slovak Republic
2.1.9. Year of entry into force of the national legislation	2001
2.1.10. Please indicate which variables required under EU legislation are not covered by national legislation, if any?
2.1.11. Please indicate which national definitions differ from those in the EU legislation, if any?
2.1.12. Is there a legal obligation for respondents to reply?	Yes

Additional comments on data description

2.2. Classification system

The classification system is described in the handbook.

2.3. Coverage - sector

Main cereals and oilseeds

2.4. Statistical concepts and definitions

Statistical concepts and definitions are described in the handbook.

2.5. Statistical unit

[CBS] The whole chain from farms to users. (including traders, people in charge of stocks, a.s.o)

2.6. Statistical population

Agricultural holdings, Food producers, Feed producers, Wholesalers, Importers, Exporters, Warehouses, Public organisations

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?

2.8. Coverage - Time

1.1.2017 - 31.12.2020

2.9. Base period

Not applicable

3. Statistical processing

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3.1. Source data

Data source details

	Crop statistics	Trade statistics	Stock estimates	Domestic use estimates
Census	X
Sample Survey
Administrive data source
Agro-economic model
Expert Estimates
Other sources		X

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
3.1.2 Name/Title	Poľ 2-02
3.1.3 Name of Organisation responsible	Statistical Office of the Slovak Republic
3.1.4 Main scope	Half-yearly statistical questionnaire on the crop balances - cereals and oilseeds.
3.1.5 List used to build the frame	Statistical survey on the sowing areas - list of statistical units.
3.1.6 Any possible threshold values	100 % units from the sowing areas.
3.1.7 Population size	3878
3.1.8 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 3.1 of the annexed Excel file
3.1.9 Name/Title
3.1.10 Name of Organisation responsible
3.1.11 Main scope
3.1.12 List used to build the frame
3.1.13 Any possible threshold values
3.1.14 Population size
3.1.15 Sample size
3.1.16 Sampling basis
3.1.17 If Other, please specify
3.1.18 Type of sample design
3.1.19 If Other, please specify
3.1.20 If Stratified, number of strata
3.1.21 If Stratified, stratification criteria
3.1.22 If Other, please specify
3.1.23 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
3.1.24 Name/Title
3.1.25 Name of Organisation responsible
3.1.26 Contact information (email and phone)
3.1.27 Main administrative scope
3.1.28 Geospatial Coverage
3.1.29 Update frequency
3.1.30 Legal basis
3.1.31 Are you able to access directly to the micro data?
3.1.32 Are you able to check the plausibility of the data, namely by contacting directly the units?
3.1.33 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?
3.1.34 Please list the main differences between the administrative source and the statistical definitions and concepts
3.1.35 Is a different threshold used in the administrative source and statistical data?
3.1.36 If Yes, please specify
3.1.37 Additional comments

Agro-economic model

If there are different models used, please describe the main one below and the additional ones in table 3.1 of the annexed Excel file
3.1.38 Name/Title
3.1.39 Primary purpose
3.1.40 Legal basis
3.1.41 Update frequency
3.1.42 Expert data supplier
3.1.43 If Other, please specify
3.1.44 How would you assess the quality of those data?
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 Legal basis
3.1.49 Update frequency
3.1.50 Expert data supplier
3.1.51 If Other, please specify
3.1.52 How would you assess the quality of those data?
3.1.53 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
3.1.54 Name/Title	International trade in goods statistics
3.1.55 Name of Organisation	Statistical Office of the Slovak Republic / Financial Administration
3.1.56 Primary purpose	Measurement of the value and quantity of goods traded between the EU Member States (intra-EU trade) and goods traded by the EU Member States with non-EU countries (extra-EU trade).
3.1.57 Data type	Other
3.1.58 If Other, please specify	Combination of the custom declarations and statistical survey
3.1.59 How would you assess the quality of those data?	Good
3.1.60 Additional comments

3.2. Frequency of data collection

Every year

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	Poľ 2-02
3.3.2 Methods of data collection	Electronic questionnaire
3.3.3 If Other, please specify
3.3.4 If face-to-face or telephone interview, which method is used?
3.3.5 Data entry method, if paper questionnaires?
3.3.6 Please annex the questionnaire used (if very long: please provide the hyperlink)
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
3.3.16 Extraction date
3.3.17 How easy is it to get access to the data?
3.3.18 Data transfer method
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

Annexes:
Poľ 2-02

3.4. Data validation

3.4.1 Which kind of data validation measures are in place?	Manual
3.4.2 What do they target?	Completeness Outliers Consistency
3.4.3 If Other, please specify

3.5. Data compilation

3.5.1 Describe the data compilation process	Data is aggregated from the above mentioned resources and then conversions and calculations are made.
3.5.2 Additional comments

3.6. Adjustment

Logical data adjustments are applied.

4. Quality management

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4.1. Quality assurance

4.1.1 Is there a quality management system used in the organisation?	Yes
4.1.2 If yes, how is it implemented?	ISO 9001
4.1.3 Has a peer review been carried out?	Yes
4.1.4 If Yes, which were the main conclusions?	To develop a comprehensive conceptual material on the acquisition, management and use of the administrative sources while respecting the requirements of the Code of Practice, as amended by the QAF, with an emphasis on reducing the burden on respondents. To analyze variables from statistical surveys to replace data with data from administrative sources. To propose framework agreements on provision of administrative sources with all administrative sources providers.
4.1.5 What quality improvements are foreseen?	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	Improvement
4.2.2 Relevance	Stable
4.2.3 Accuracy and reliability	Stable
4.2.4 Timeliness and punctuality	Improvement
4.2.5 Comparability	Improvement
4.2.6 Coherence	Stable
4.2.7 Additional comments

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5. Relevance

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5.1. Relevance - User Needs

5.1.1 If certain user needs are not met, please specify which and why	There are no user needs unmet.
5.1.2 Please specify any plans to satisfy needs more completely in the future	No plans.
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

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6.1. Accuracy - overall

6.1.1 How good is the accuracy?	Very 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

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 table 6.2 of the annexed Excel file
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	Poľ 2-02
Over-coverage
6.3.1.2 Does the sample frame include wrongly classified units that are out of scope?	No
6.3.1.3 What methods are used to detect the out-of scope units?
6.3.1.4 Does the sample frame include units that do not exist in practice?	No
6.3.1.5 Over-coverage - rate	No over-coverage.
6.3.1.6 Impact on the data quality	None
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?	very small units
6.3.1.9 How large do you estimate the proportion of those units? (%)	1%
6.3.1.10 Impact on the data quality	None
Misclassification
6.3.1.11 Impact on the data quality	None
Common units
6.3.1.12 Common units - proportion	Not applicable.
6.3.1.13 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
6.3.1.14 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? (%)	[0-100]
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
Over-coverage
6.3.1.28 Does the administrative source include wrongly classified units that are out of scope?
6.3.1.29 What methods are used to detect the out-of scope units?
6.3.1.30 Does the administrative source include units that do not exist in practice?
6.3.1.31 Over-coverage - rate
6.3.1.32 Impact on the data quality
Under-coverage
6.3.1.33 Does the administrative source include all units falling within the scope of this survey?
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? (%)	[0-100]
6.3.1.36 Impact on the data quality
Misclassification
6.3.1.37 Impact on the data quality
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	Poľ 2-02
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?	20
6.3.2.4 Preparatory testing of the questionnaire?	No
6.3.2.5 Number of units participating in the tests?	Not applicable.
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?
6.3.2.9 Percentage of pre-filled questions out of total number of questions	Not applicable.
6.3.2.10 Other actions taken for reducing the measurement error?	Logical controls
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	[0-100]
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	Poľ 2-02
6.3.3.2 Unit non-response - rate	1,5%
6.3.3.3 How do you evaluate the recorded unit non-response rate in the overall context?	Very low
6.3.3.4 Measures taken for minimising the unit non-response	Reminders Imputation
6.3.3.5 If Other, please specify
6.3.3.6 Item non-response rate	Not existing. It is solved during the data collection.
6.3.3.7 Item non-response rate - Minimum	Not applicable.
6.3.3.8 Item non-response rate - Maximum	Not applicable.
6.3.3.9 Which items had a high item non-response rate?	Not applicable.
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	Poľ 2-02
6.3.4.2 Imputation - rate	1,3%
6.3.4.3 Imputation - basis	Same unit in previous data
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 Additional comments

6.3.5. Model assumption error

6.4. Seasonal adjustment

6.5. Data revision - policy

The official data revison policy is laid down in the Decision of the President of the Statistical Office of the SR issuing the revision policies of the Statistical Office of the SR. It describes the reasons for revisions, type of revisions, calendar of revisions and dividing of revisions by the statistical domains.

6.6. Data revision - practice

6.6.1 Data revision - average size	There has been no data revision.
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?	No data revision.
6.6.4 How do you evaluate the impact of the revisions?	Not important
6.6.5 Additional comments

7. Timeliness and punctuality

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7.1. Timeliness

7.1.1 When were the first results for the reference period published?	March 2020
7.1.2 When were the final results for the reference period published?	March 2020
7.1.3 Reasons for possible long production times?	Not applicable.

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

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8.1. Comparability - geographical

To be assessed by Eurostat

8.1.1. Asymmetry for mirror flow statistics - coefficient

Not applicable

8.2. Comparability - over time

8.2.1 Length of comparable time series	3 reference periods
8.2.2 Have there been major breaks in the time series?	No
8.2.3 If Yes, please specify the year of break and the reason
8.2.4 Additional comments

8.3. Coherence - cross domain

8.3.1 With which other national data sources have the data been compared?	None
8.3.2 If Other, please specify
8.3.3 Describe briefly the results of comparisons
8.3.4 If no comparisons have been made, explain why	There is no comparable output.
8.3.5 Additional comments

8.4. Coherence - sub annual and annual statistics

Not applicable

8.5. Coherence - National Accounts

Not applicable

8.6. Coherence - internal

Not applicable

9. Accessibility and clarity

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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?	No
9.2.4 If Yes, is there an English version?
9.2.5 Please provide a link

9.3. Dissemination format - online database

9.3.1 Data tables - consultations	No consultations.
9.3.2 Is an on-line database accessible to users?	No
9.3.3 Please provide a link

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

In the future we plan to disseminate the results of the Crop balance sheets. First we would like to have an assesment of our results and take into account any comments concerning the balance sheets. However, we publish the partially results concerning the balance of main cereals and oilseeds processed according to the national methodology, which are published in March of the corresponding year (see the point 7.1).

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?	No
9.6.4 Please provide a link
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	There is no metadata available.
9.7.2 Metadata - consultations	None
9.7.3 Is a quality report available?	No
9.7.4 Please provide a link

10. Cost and Burden

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10.1 Efficiency gains if compared to the previous quality report	None
10.2 If Other, please specify
10.3 Burden reduction measures since the previous quality report	None
10.4 If Other, please specify

11. Confidentiality

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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 Statistical Office of the SR has adopted its own Directive on the protection of confidential statistical data, where the issue of confidentiality is described in detail.

11.2. Confidentiality - data treatment

11.2.1 Describe the procedures for ensuring confidentiality during dissemination	Minimum Frequency Rule - the cell is sensitive if the number of reporting units responding to it is less than a predetermined value (3);
11.2.2 Additional comments

12. Comment

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Related metadata

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Annexes

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Annex
Poľ 2-02