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: Ministry of Agriculture

Eurostat metadata

Reference metadata

1. Contact
2. Statistical presentation
3. Statistical processing
4. Quality management
5. Relevance
6. Accuracy and reliability
7. Timeliness and punctuality
8. Coherence and comparability
9. Accessibility and clarity
10. Cost and Burden
11. Confidentiality
12. Comment
Related Metadata
Annexes (including footnotes)

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

Download

1. Contact

Top

1.1. Contact organisation

Ministry of Agriculture

1.2. Contact organisation unit

Directorate Agriculture and Land Relations, Agrostatistics Department

1.5. Contact mail address

55, Blvd. Hristo Botev, Sofia 1040, Bulgaria

2. Statistical presentation

Top

2.1. Data description

Main characteristics

2.1.1. Describe shortly the main characteristics of the statistics

rop Balances cover Supply - Usable production ; Imports ; Opening stock ( 1.Jan N )
Use - Domestic; Exports; Closing stock ( 31.Dec N ) of the main cereals (common wheat & spelt, durum wheat, barley and grain maize & corn-cob-mix) and main oilseeds (rape and turnip rape seed, sunflower seed and soya)

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?	No
If Yes, please answer all the following questions.
2.1.6. Name of the national legislation
2.1.7. Link to the national legislation
2.1.8. Responsible organisation for the national legislation
2.1.9. Year of entry into force of the national legislation
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?

Additional comments on data description

2.2. Classification system

The classification system is described in the handbook.

2.3. Coverage - sector

The crop balance for Bulgaria includes the main cereals (common wheat & spelt, durum wheat, barley and grain maize & corn-cob-mix) and main oilseeds (rape and turnip rape seed, sunflower seed and soya).

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

not applicable

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

2017-2020

2.9. Base period

Not applicable

3. Statistical processing

Top

3.1. Source data

Data source details

	Crop statistics	Trade statistics	Stock estimates	Domestic use estimates
Census
Sample Survey	X
Administrive data source		X	X	X
Agro-economic model
Expert Estimates				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	Annual survey of main crops
3.1.10 Name of Organisation responsible	Ministry of Agriculture
3.1.11 Main scope	Annual Crop Statistics
3.1.12 List used to build the frame	IACS2017, Census2010
3.1.13 Any possible threshold values	The farm thresholds defined in the Bulgarian Agricultural Census Law 2010.
3.1.14 Population size	50099
3.1.15 Sample size	8655
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	1220
3.1.21 If Stratified, stratification criteria	Other
3.1.22 If Other, please specify	Size of crop area; crops type; NUTS3
3.1.23 Additional comments	Data on production, national humidity content and admixture is received from a sample survey.

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	data on stocks
3.1.25 Name of Organisation responsible	Ministry of Agriculture; Crop production directorate
3.1.26 Contact information (email and phone)	Mr Petar Kirovski - PKirovski@mzh.government.bg
3.1.27 Main administrative scope	Reports of grain quantities are collected on a monthly basis from all grain storage facilities with a capacity of 50 tonnes or more in the country.
3.1.28 Geospatial Coverage	National
3.1.29 Update frequency	Monthly
3.1.30 Legal basis	ORDINANCE № 23 OF DECEMBER 29, 2015 ON THE TERMS AND CONDITIONS FOR THE MONITORING OF GRAIN MARKET, REVISED ON 29 Nov.2019
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 is no information on small storage facilities where grains below 50 tonnes are stored as well as for state stocks.
3.1.35 Is a different threshold used in the administrative source and statistical data?	Yes
3.1.36 If Yes, please specify	Administrative information is collected from grain storage facilities with a capacity of 50 tonnes or more.
3.1.37 Additional comments	Foreign trade data is used from the National Statistical Institute's database, available in the Eurostat database. An annual report on the quality of data is provided to Eurostat in accordance with standardized quality indicators.

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 of grain use
3.1.47 Primary purpose	Assess on the quantity of grain used for processing on the basis of statistics on the quantities of processed products produced (PRODCOM).
3.1.48 Legal basis	na
3.1.49 Update frequency	Quarterly
3.1.50 Expert data supplier	Ministry
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

Annually

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	Annual survey of main crops.
3.3.9 Methods of data collection	Telephone interview Face-to-face interview
3.3.10 If Other, please specify
3.3.11 If face-to-face or telephone interview, which method is used?	Paper questionnaire Electronic questionnaire
3.3.12 Data entry method, if paper questionnaires?	Manual
3.3.13 Please annex the questionnaire used (if very long: please provide the hyperlink)	file attached https://www.agrostat.bg/ISASPublic/Crops
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	After 2019 the monthly declarations from the owners or users of the grain storage facilities for the location and for the available quantity of grain in them were received.
3.3.16 Extraction date	on demand and towards 1.Jan N; 31.Dec N; 30.Jun N for stock data
3.3.17 How easy is it to get access to the data?
3.3.18 Data transfer method	by e-mail
3.3.19 Additional comments	The database of NSI for foreign trade is freely available on-line.

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	The quarterly declarations from the grain processing enterprises for the quantity of grain processed by them by types, and check whether all enterprises have submitted declarations.
3.3.21 Methods of data collection	Expert assessment of the processed quantities of grain on the basis of the quarterly declarations.
3.3.22 Additional comments

Annexes:
Questionnaire_2020

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?	Completeness Aggregates Consistency
3.4.3 If Other, please specify	Validated production data. Control for data coherence between different sources.

3.5. Data compilation

3.5.1 Describe the data compilation process	Information on external trade, domestic consumption and stocks is collected. Quantities of foreign trade are recalculated to the proposed coefficients in the handbook. Quantities produced and consumed are recalculated to standard EU humidity, impurities are reduced and losses are calculated.
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?	Yes
4.1.2 If yes, how is it implemented?	Task force group with experts who deliver different characteristics from crop balance sheet items.
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?
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

ext-container hidden">

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?	Very good
6.1.2 What are the main factors lowering the accuracy?	Sampling 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
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	Ministry of Agriculture; A public electronic register of grain storage facilities in the country with data on owners or users, location and capacity.
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?	Schedule for inspections by the regional directorates Agriculture for the submission and accuracy of the data entered in the declarations.
6.3.1.30 Does the administrative source include units that do not exist in practice?	No
6.3.1.31 Over-coverage - rate	not applicable
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?	No
6.3.1.34 If Not, which units are not included?	Information for grain storage facilities with a capacity of less than 50 tonnes is not collected.
6.3.1.35 How large do you estimate the proportion of those units? (%)	1%
6.3.1.36 Impact on the data quality	Low
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
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

6.5. Data revision - policy

6.6. Data revision - practice

6.6.1 Data revision - average size	not available
6.6.2 Were data revisions due to conceptual changes (e.g. new definitions) carried out since the last quality report?
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?	the data is not foreseened to be published.
7.1.2 When were the final results for the reference period published?	not applicable
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)?	No
7.2.2 If Yes, were data released on the target date?
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

8. Coherence and comparability

Top

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	Comparable time periods, аvailable from 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	2010 - due to the lack of information on exact quantities of used grain and seed in the country for different purposes (processing, animal feed, etc.)
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	Due to the use of different methodology and recalculation of the quantities of processed products by coefficients the data can not be compared with other sources.
8.3.3 Describe briefly the results of comparisons	No comparison.
8.3.4 If no comparisons have been made, explain why	A different methodology is used - for example, when making the balances from another source, the foreign trade data includes only the whole grain and seed items - the processed products (flour, malt, etc.) are not included, moisture content is not recalculated, production is not reduced by impurities, no losses are calculated, and so on.
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

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?	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?	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

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?	Yes
9.6.6 Please provide a link	CBS_Handbook_2018

9.7. Quality management - documentation

9.7.1 Metadata completeness - rate	not applicable
9.7.2 Metadata - consultations
9.7.3 Is a quality report available?	No
9.7.4 Please provide a link

10. Cost and Burden

Top

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

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	Statistical information which aggregates data about less than three statistical units or about a population in which the relative share of the value of a surveyed parameter of a single unit exceeds 85 per cent of the total value of such parameter for all units in the population.

11.2. Confidentiality - data treatment

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

12. Comment

Related metadata

Annexes