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: REPUBLIC OF CROATIA - CROATIAN BUREAU OF STATISTICS Address: Ilica 310000 ZagrebRepublic of Croatia

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

REPUBLIC OF CROATIA - CROATIAN BUREAU OF STATISTICS

Address:

Ilica 3
10000 Zagreb
Republic of Croatia

1.2. Contact organisation unit

Spatial Statistics Directorate/Agricultural, Production and Structural Statistics Department/Crop production statistics, agricultural structural statistics and Register of agricultural holdings Unit

1.5. Contact mail address

Branimirova 19, 10 000 Zagreb, Republic of Croatia

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	National Statistics Act (OJ HR No. 25/20.)
2.1.7. Link to the national legislation	http://www.dzs.hr/default_e.htm
2.1.8. Responsible organisation for the national legislation	CBS
2.1.9. Year of entry into force of the national legislation	2020
2.1.10. Please indicate which variables required under EU legislation are not covered by national legislation, if any?	The all variables requested under EU regulation are covered by national legislation.
2.1.11. Please indicate which national definitions differ from those in the EU legislation, if any?	There is no difference in national definitions from those in the EU regulation.
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

All agricultural holdings growing crops.

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

2000-2020

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
Sample Survey	x
Administrive data source		x
Agro-economic model
Expert Estimates			x	x
Other sources

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
3.1.3 Name of Organisation responsible
3.1.4 Main scope
3.1.5 List used to build the frame
3.1.6 Any possible threshold values
3.1.7 Population size
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	Crop production statistics.
3.1.10 Name of Organisation responsible	CBS
3.1.11 Main scope	Annual crop statistics provide statistics on the area under main arable crops, vegetables and permanent crops and production and yield levels.
3.1.12 List used to build the frame	List of all active producers engaged in crop production statistics.
3.1.13 Any possible threshold values	Yes.
3.1.14 Population size	Around 140000 holdings
3.1.15 Sample size	10000
3.1.16 Sampling basis	List
3.1.17 If Other, please specify
3.1.18 Type of sample design	Stratified
3.1.19 If Other, please specify
3.1.20 If Stratified, number of strata	15
3.1.21 If Stratified, stratification criteria	Unit size Unit location
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	Tax Administration Office of the Republic of Croatia.The data source for the statistics on the trading in goods with third countries, that is, non-EU countries, are Single Administrative Documents on export and import of goods. The Croatian Bureau of Statistics receives the reviewed Single Administrative Documents from the Customs Administration of the Republic of Croatia in the form of data records.
3.1.25 Name of Organisation responsible	CBS
3.1.26 Contact information (email and phone)	zdericb@dzs.hr 0038514806280
3.1.27 Main administrative scope	Statistics on foreign trade in goods include all goods exported from or imported into the country. Data on foreign trade in goods include both export and import based on gross inward and outward processing.
3.1.28 Geospatial Coverage	National
3.1.29 Update frequency
3.1.30 Legal basis	The legal basis for the conduct of the Intrastat survey is the European legislation related to the statistics on trading in goods between EU Member States (Regulation (EC) No. 638/2004 and amending regulations Nos 222/2009 and 659/2014 of the European Parliament and of the Council as well as the Commission Implementing Regulation No. 1982/2004 and the Commission amending regulations Nos 1915/2005, 91/2010, 96/2010 and 1093/2013), the Official Statistics Act (NN, Nos 25/20), the Annual Implementation Plan of Statistical Activities of the Republic of Croatia 2020 (NN, No. 12/20) and the Customs Administration Act (NN, Nos 68/13, 30/14 and 115/16). More detailed notes on the methodology of this survey are published on the web site of the Croatian Bureau of Statistics (http://www.dzs.hr/default_e.htm). The legal basis for Extrastat is the European legislation related to the statistics on trading in goods with third countries (the Regulation (EC) No 471/2009 and the amending regulations Nos 2016/1724 and 2016/2119 of the European Parliament and of the Council, the Commission Regulation (EU) No. 92/2010 and the amending regulation No. 2016/1253 as well as the Commission Regulation (EU) No 113/2010), the EU Customs Legislations Implementation Act (NN, No. 40/16), the Official Statistics Act (NN, Nos 25/20), the Annual Implementation Plan of Statistical Activities of the Republic of Croatia 2020 (NN, No. 12/20), the Customs Administration Act (NN, Nos 68/13, 30/14 and 115/16) and the Ordinance on Filling in the Single Administrative Document (NN, No. 77/13).
3.1.31 Are you able to access directly to the micro data?	Yes
3.1.32 Are you able to check the plausibility of the data, namely by contacting directly the units?	Yes
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?	Very good
3.1.34 Please list the main differences between the administrative source and the statistical definitions and concepts	There are no differences.
3.1.35 Is a different threshold used in the administrative source and statistical data?	No
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	Data on losses, stocks and animal feed on farm.
3.1.47 Primary purpose	Expert estimates improve calculation of crop balances.
3.1.48 Legal basis	National Statistics Act (OJ HR No. 25/20.)
3.1.49 Update frequency	Annual
3.1.50 Expert data supplier	Scientific organisation
3.1.51 If Other, please specify
3.1.52 How would you assess the quality of those data?	Good
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
3.1.55 Name of Organisation
3.1.56 Primary purpose
3.1.57 Data type
3.1.58 If Other, please specify
3.1.59 How would you assess the quality of those data?
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
3.3.2 Methods of data collection
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	Crop production statistics.
3.3.9 Methods of data collection	Postal questionnaire Electronic questionnaire
3.3.10 If Other, please specify
3.3.11 If face-to-face or telephone interview, which method is used?	Electronic questionnaire
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	Tax Administration Office of the Republic of Croatia.The data source for the statistics on the trading in goods with third countries, that is, non-EU countries, are Single Administrative Documents on export and import of goods. The Croatian Bureau of Statistics receives the reviewed Single Administrative Documents from the Customs Administration of the Republic of Croatia in the form of data records.
3.3.16 Extraction date	31.12.2020
3.3.17 How easy is it to get access to the data?	Direct constant access
3.3.18 Data transfer method	On line database.
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	Data on losses, stocks and animal feed on farm.
3.3.21 Methods of data collection	Not applicable.
3.3.22 Additional comments

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 Consistency
3.4.3 If Other, please specify

3.5. Data compilation

3.5.1 Describe the data compilation process	Not Applicable.
3.5.2 Additional comments

3.6. Adjustment

Not Applicable.

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?
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
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

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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	No
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

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6.1. Accuracy - overall

6.1.1 How good is the accuracy?	Good
6.1.2 What are the main factors lowering the accuracy?	Other
6.1.3 If Other, please specify	Missing some elements for calculations.
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
Over-coverage
6.3.1.2 Does the sample frame include wrongly classified units that are out of scope?
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?
6.3.1.5 Over-coverage - rate
6.3.1.6 Impact on the data quality
Under-coverage
6.3.1.7 Does the sample frame include all units falling within the scope of this survey?
6.3.1.8 If Not, which units are not included?
6.3.1.9 How large do you estimate the proportion of those units? (%)	[0-100]
6.3.1.10 Impact on the data quality
Misclassification
6.3.1.11 Impact on the data quality
Common units
6.3.1.12 Common units - proportion
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
6.3.2.2 Is the questionnaire based on usual concepts for respondents?
6.3.2.3 Number of censuses already performed with the current questionnaire?
6.3.2.4 Preparatory testing of the questionnaire?
6.3.2.5 Number of units participating in the tests?
6.3.2.6 Explanatory notes/handbook for surveyors/respondents?
6.3.2.7 On-line FAQ or Hot-line support for surveyors/respondents?
6.3.2.8 Are there pre-filled questions?
6.3.2.9 Percentage of pre-filled questions out of total number of questions	[0-100]
6.3.2.10 Other actions taken for reducing the measurement error?
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
6.3.3.2 Unit non-response - rate
6.3.3.3 How do you evaluate the recorded unit non-response rate in the overall context?
6.3.3.4 Measures taken for minimising the unit non-response
6.3.3.5 If Other, please specify
6.3.3.6 Item non-response rate
6.3.3.7 Item non-response rate - Minimum
6.3.3.8 Item non-response rate - Maximum
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
6.3.4.2 Imputation - rate
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 Additional comments

6.3.5. Model assumption error

6.4. Seasonal adjustment

Not applicable

6.5. Data revision - policy

6.6. Data revision - practice

6.6.1 Data revision - average size	Not applicable.
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?	Not applicable.
6.6.4 How do you evaluate the impact of the revisions?	Important
6.6.5 Additional comments	Data revision is not planned so far.

7. Timeliness and punctuality

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7.1. Timeliness

7.1.1 When were the first results for the reference period published?	There was no publication of the first result.
7.1.2 When were the final results for the reference period published?	3 months.
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

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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	20
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?	Crop statistics Trade Statistics
8.3.2 If Other, please specify
8.3.3 Describe briefly the results of comparisons	The data from crop production statistics ans trade statistica are used for calcualation and ther were nop bigger differences.
8.3.4 If no comparisons have been made, explain why
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	Not applicable.
9.3.2 Is an on-line database accessible to users?	Yes
9.3.3 Please provide a link	https://www.dzs.hr/App/PXWeb/PXWebEng/Menu.aspx?px_language=en&px_type=PX&px_db=Agriculture%2c+Hunting%2c+Forestry+and+Fishing&rxid=04654694-2080-4769-8ff9-1140ef84ab42

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

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.dzs.hr/Eng/DBHomepages/Agriculture/Crop%20Balance/methodology.htm
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	Not applicable.
9.7.2 Metadata - consultations	Not applicable.
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?	No
11.1.2 If yes, are they confidential in the sense of Reg. (EC) 223/2009?
11.1.3 Describe the data confidentiality policy in place	Statistical data collected for crop balances, according to the Law on official statistics (NN, br. 25/20.) is confidential and its purpose is restricted exclusively to statistical usage.Authorized interviewers are obligated to respect these restrictions.The results will be published in a cumulative form which prevents displaying data on individuals. Regulation (EC) No 223/2009 on European statistics (recital 24 and Article 20(4)) of 11 March 2009 (OJ L 87, p. 164), stipulates the need to establish common principles and guidelines ensuring the confidentiality of data used for the production of European statistics and the access to those confidential data with due account for technical developments and the requirements of users in a democratic society.

11.2. Confidentiality - data treatment

11.2.1 Describe the procedures for ensuring confidentiality during dissemination	Restricted from publication
11.2.2 Additional comments

12. Comment

Related metadata

Annexes