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: National Institute of Statistics

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

National Institute of Statistics

1.2. Contact organisation unit

Department of Agriculture and Environment Statistics

1.5. Contact mail address

Bd. Libertatii no 16, Zip code 050706, Bucharest, Romania

2. Statistical presentation

Top

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?	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?	Yes

Additional comments on data description

According to Law No. 226/ 2009 on the organisation and functioning of the Romanian official statistics with its subsequent amendments and additions “the data providers are obliged to submit to the producers of official statistics free of charge reliable, updated and complete data to the required deadlines and based on the collection methods mentioned in the National Annual Statistical Programme and in agreement with the related methodological norms.”

2.2. Classification system

The classification system is described in the handbook. Supply=Use

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 producers (farm) and users. (including merchants, stockholders, a.s.o.)

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

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	*
Administrive data source		*	*
Agro-economic model
Expert Estimates
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	INTRASTAT STATISTICAL SURVEY
3.1.3 Name of Organisation responsible	National Institute of Statistics
3.1.4 Main scope	Data collection on intra-EU trade in goods
3.1.5 List used to build the frame	Fiscal data from Ministry of Public Finance (fiscal code)
3.1.6 Any possible threshold values	Yes, for both flows about 200,000 Euros (import and export intra-EU)
3.1.7 Population size	About 20,000 firms
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 crop statistics
3.1.10 Name of Organisation responsible	National Institute of Statistics
3.1.11 Main scope	Collection of statistical data on area and on the production of main crops
3.1.12 List used to build the frame	Farm Register
3.1.13 Any possible threshold values	No threshold
3.1.14 Population size	3,637,353 holdings
3.1.15 Sample size	55338
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	Cereals = 361; Oilseeds = 146
3.1.21 If Stratified, stratification criteria	Unit size Unit location Unit legal status
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	EXTRASTAT Ministry of Public Finance
3.1.25 Name of Organisation responsible	National Institute of Statistics
3.1.26 Contact information (email and phone)
3.1.27 Main administrative scope	Compiling extra-EU trade in goods statistics
3.1.28 Geospatial Coverage	National
3.1.29 Update frequency	Monthly
3.1.30 Legal basis	Law No. 422/ 2006 concerning the organization and functioning of the statistical system of international trade in goods
3.1.31 Are you able to access directly to the micro data?	No
3.1.32 Are you able to check the plausibility of the data, namely by contacting directly the units?	No
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	-
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
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	Statistical studies for economic accounts
3.1.55 Name of Organisation	National Institute of Statistics
3.1.56 Primary purpose	Calculation of economic accounts in agriculture
3.1.57 Data type	Other
3.1.58 If Other, please specify	statistical data, expert estimation
3.1.59 How would you assess the quality of those data?	Very 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	INTRASTAT
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?	Electronic questionnaire
3.3.5 Data entry method, if paper questionnaires?
3.3.6 Please annex the questionnaire used (if very long: please provide the hyperlink)	electronic qustionnaire (www.intrastat.ro)
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 crop statistics
3.3.9 Methods of data collection	Face-to-face interview Other
3.3.10 If Other, please specify	Self-registration for legal units
3.3.11 If face-to-face or telephone interview, which method is used?	Paper 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)	http://www.insse.ro
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	EXTRASTAT
3.3.16 Extraction date	28 days after the end of the reference month
3.3.17 How easy is it to get access to the data?	Direct constant access
3.3.18 Data transfer method	IT, security environment
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
3.4.2 What do they target?	Completeness Aggregates
3.4.3 If Other, please specify	-

3.5. Data compilation

3.5.1 Describe the data compilation process	select the relevant data sources, data analysis, aggregate calculation, data validation
3.5.2 Additional comments

3.6. Adjustment

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?	The NIS implements the quality management system based on the approach and elaboration of procedures and mechanisms in accordance with the EFQM/CAF excellence model for the continuous evaluation and in view of the quality improvement of the organizational system
4.1.3 Has a peer review been carried out?	Yes
4.1.4 If Yes, which were the main conclusions?	Assessing the current situation, the peer reviewers' opinion from 2015, is that the activities of the National Institute of Statistics and SSN National Statistical Sistem are largely in line with European Statistics Code of Practice
4.1.5 What quality improvements are foreseen?	Improve data validation Further automation
4.1.6 If Other, please specify	Use of administrative sources for comparison
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	Improvement
4.2.3 Accuracy and reliability	Improvement
4.2.4 Timeliness and punctuality	Improvement
4.2.5 Comparability	Improvement
4.2.6 Coherence	Improvement
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	Not applicable
5.1.2 Please specify any plans to satisfy needs more completely in the future	Not yet
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	-
5.3.2 If not complete, which characteristics are missing?	Domestic - Biofuel or bio-ethanol use and Domestic - crushing
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?	Other
6.1.3 If Other, please specify	Use the administrative data sources
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	Annual crop statistics
6.2.2 Methods used to assess the sampling error	Relative standard error
6.2.3 If Other, please specify	-
6.2.4 Methods used to derive the extrapolation factor	Basic weight
6.2.5 If Other, please specify	-
6.2.6 If coefficients of variation are calculated, please describe the calculation methods and formulas	Was calculated using the SAS sample extraction application
6.2.7 Sampling error - indicators	Please provide the coefficients of variation in table 6.2 of the annexed Excel file 0,5% for cereals and 4,4% for oilseeds
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	INTRASTAT
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?	Administrative (fiscal) data
6.3.1.4 Does the sample frame include units that do not exist in practice?	No
6.3.1.5 Over-coverage - rate	-
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?	Yes
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	None
Misclassification
6.3.1.11 Impact on the data quality	None
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	Annual crop statistics
Over-coverage
6.3.1.15 Does the sample frame include wrongly classified units that are out of scope?	Yes
6.3.1.16 What methods are used to detect the out-of scope units?	At the moment of the interview
6.3.1.17 Does the sample frame include units that do not exist in practice?	Yes
6.3.1.18 Over-coverage - rate	2,5%
6.3.1.19 Impact on the data quality	None
Under-coverage
6.3.1.20 Does the sample frame include all units falling within the scope of this survey?	No
6.3.1.21 If Not, which units are not included?	New created units
6.3.1.22 How large do you estimate the proportion of those units? (%)	[0,3%]
6.3.1.23 Impact on the data quality	None
Misclassification
6.3.1.24 Impact on the data quality	None
Common units
6.3.1.25 Common units - proportion	No
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	EXTRASTAT
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?	-
6.3.1.30 Does the administrative source include units that do not exist in practice?	No
6.3.1.31 Over-coverage - rate	-
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? (%)	[0-100]
6.3.1.36 Impact on the data quality
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	INTRASTAT
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?	Monthly, since 2007, January
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?	No
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	Annual crop statistics
6.3.2.13 Is the questionnaire based on usual concepts for respondents?	Yes
6.3.2.14 Number of surveys already performed with the current questionnaire?	5
6.3.2.15 Preparatory testing of the questionnaire?	Yes
6.3.2.16 Number of units participating in the tests?	About 1000
6.3.2.17 Explanatory notes/handbook for surveyors/respondents?	Yes
6.3.2.18 On-line FAQ or Hot-line support for surveyors/respondents?	Yes
6.3.2.19 Are there pre-filled questions?	No
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?	Questionnaire-level correlations (between indicators, between chapters, control totals) control tables
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	INTRASTAT
6.3.3.2 Unit non-response - rate	3% (in terms of global value)
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	Reminders Legal actions
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	Annual crop statistics
6.3.3.12 Unit non-response - rate	2,5%
6.3.3.13 How do you evaluate the recorded unit non-response rate in the overall context?	Very low
6.3.3.14 Measures taken for minimising the unit non-response	Follow-up interviews Legal actions Weighting
6.3.3.15 If Other, please specify	-
6.3.3.16 Item non-response rate	Rarely
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?	Not significant
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	INTRASTAT
6.3.4.2 Imputation - rate	30% (in terms of statistical value)
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	Annual crop statistics
6.3.4.7 Imputation - rate	2,5%
6.3.4.8 Imputation - basis	Similar units
6.3.4.9 If Other, please specify	-
6.3.4.10 How do you evaluate the impact of imputation on Coefficients of Variation?	Not important
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	-
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?	Not important
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?	29.11.2019
7.1.2 When were the final results for the reference period published?	-
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)?	No
7.2.2 If Yes, were data released on the target date?	No
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	-
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 Other
8.3.2 If Other, please specify	Data from economic accounts in agriculture
8.3.3 Describe briefly the results of comparisons	Not significant 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

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?	No
9.2.3 Do you produce an electronic publication?	No
9.2.4 If Yes, is there an English version?	No
9.2.5 Please provide a link	-

9.3. Dissemination format - online database

9.3.1 Data tables - 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

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	-
9.6.5 Is a handbook available?	Yes
9.6.6 Please provide a link	-

9.7. Quality management - documentation

9.7.1 Metadata completeness - rate	No
9.7.2 Metadata - consultations	No
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?	No
11.1.2 If yes, are they confidential in the sense of Reg. (EC) 223/2009?	No
11.1.3 Describe the data confidentiality policy in place	The aggregated data does not allow the identification of a statistical unit through dissemination.

11.2. Confidentiality - data treatment

11.2.1 Describe the procedures for ensuring confidentiality during dissemination	In special cases, in order to avoid situations that don't ensure the confidentiality, neighboring intervals will join to form a single interval, containing more statistical units.
11.2.2 Additional comments	-

12. Comment

Top

Annexes:
Annex_RO

Related metadata

Top

Annexes

Top