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: Service d'Economie Rurale

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

Service d'Economie Rurale

1.2. Contact organisation unit

Division des statistiques agricoles

1.5. Contact mail address

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?	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

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 at least one of the concerned crops, enterprises active in crop collection and/or external trade of 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

2017

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 (yield -> see ACS quality report)		x
Administrive data source	x (area -> see ACS quality report)	x (INTRASTAT)
Agro-economic model				x
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
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	Purchase and transformation of cereals and oil crops
3.1.10 Name of Organisation responsible	Service d'Economie Rurale - Ministry of Agriculture
3.1.11 Main scope	get information on collection, use and transformation of crops as well as stocks on 01/07 and 31/12
3.1.12 List used to build the frame	exhaustive list of enterprises having a stock of cereals and oil crops
3.1.13 Any possible threshold values	None
3.1.14 Population size	6
3.1.15 Sample size	6
3.1.16 Sampling basis	Other
3.1.17 If Other, please specify	The contacted enterprises cover 100% of the industrial stocks of cereals and oil crops
3.1.18 Type of sample design	Other
3.1.19 If Other, please specify	exhaustive list of main enterprises active in crop collection and transformation
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	For the SBS 2017, only 2 of the 7 enterprises have provided their stocks on 31/12, but together they cover 95% of soft wheat, durum wheat, barley, rapeseed and grain maize stocks.

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	INTRASTAT (comext)
3.1.25 Name of Organisation responsible	STATEC
3.1.26 Contact information (email and phone)	info@statistiques.public.lu
3.1.27 Main administrative scope	Intrastat is a system for collecting statistical data on imports and exports of goods
3.1.28 Geospatial Coverage	National
3.1.29 Update frequency	Monthly
3.1.30 Legal basis	Regulation (EC) No 638/2004
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?	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
3.1.35 Is a different threshold used in the administrative source and statistical data?	Yes
3.1.36 If Yes, please specify	Trying to not impose excessive loads to the economic operators, the european legislator introduced a system of thresholds of exemption and simplification. These thresholds are expressed in annual value of the intra-community trade. Declarants are exempted to provide Intrastat information or can provide simplified information. It is important to note that the conditions and procedures of reductions envisaged by the Intrastat system apply by flow, i.e. it is necessary always to treat the arrivals independently of dispatches.
3.1.37 Additional comments	more information: https://statistiques.public.lu/en/surveys/espace-enterprises/intrastat/index.html

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	Domestic use of crops
3.1.39 Primary purpose	splitting up the domestic use of crops into different categories
3.1.40 Legal basis	none
3.1.41 Update frequency	Annual
3.1.42 Expert data supplier	Ministry
3.1.43 If Other, please specify
3.1.44 How would you assess the quality of those data?	Medium
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
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	Purchase and transformation of cereals and oil crops
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?
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)
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	INTRASTAT
3.3.16 Extraction date	10/2021
3.3.17 How easy is it to get access to the data?	Access granted upon a simple request
3.3.18 Data transfer method	xls files by E-Mail
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?	Outliers Aggregates Consistency
3.4.3 If Other, please specify

3.5. Data compilation

3.5.1 Describe the data compilation process

Data compilation is only used for the differentiation among the various domestic uses according to the following model:

seeds: the quantity of seeds is derived from the sown area of the same crop in N+1
industrial use: industrial use of barley is derived from the imports of "Malt (excl. roasted, wheat and flour)" that is used for beer production (CN 11071099)
losses: they represent 1% of the available quantity per crop
animal feedingstuff: the quantity of soft wheat and grain maize used as animal feedingstuff is calculated by deriving their content from imported feedingstuff, added by their content in national feedingstuff production and the quantity used directly on the farms. For barley, all the quantities not classified somewhere else are considered to be animal feedingstuff.
human consumption: the quantities of soft wheat, durum wheat and grain maize used for human consumption are calculated as follows: total use - exports - final stocks - all other uses
domestic use of oil crops: the quantities of sunflowers and soja for domestic use are calculated as follows: total use - exports - final stocks. In the case of rapeseed, +- 100 tons are estimated to remain for domestic use other than seeds and losses.

3.5.2 Additional comments

3.6. Adjustment

none

4. Quality management

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4.1. Quality assurance

4.1.1 Is there a quality management system used in the organisation?	No
4.1.2 If yes, how is it implemented?
4.1.3 Has a peer review been carried out?	No
4.1.4 If Yes, which were the main conclusions?
4.1.5 What quality improvements are foreseen?	Other
4.1.6 If Other, please specify	FADN data is planned to be used in future for assessing the stock on agricultural holdings
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
5.1.2 Please specify any plans to satisfy needs more completely in the future
5.1.3 Additional comments	no user needs known

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?	Medium
6.1.2 What are the main factors lowering the accuracy?	Other
6.1.3 If Other, please specify	- INTRASTAT data is not reliable, there are big fluctuations from one year to another due to wrong classifications that can not always be detected - information on stocks on agricultural holdings is not available at the moment
6.1.4 Additional comments	quantities of stocks, imports and exports can not be converted to standard humidity because information on their real humidity content is not available

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	Purchase and transformation of cereals and oil crops
6.2.2 Methods used to assess the sampling error	Other
6.2.3 If Other, please specify	none
6.2.4 Methods used to derive the extrapolation factor	Other
6.2.5 If Other, please specify	none
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	the sample is covering >95% of the collection and transformation of crops based on a fix list of enterprises

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	Purchase and transformation of cereals and oil crops
Over-coverage
6.3.1.15 Does the sample frame include wrongly classified units that are out of scope?	No
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?	No
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?	Yes
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	not applicable
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	Purchase and transformation of cereals and oil crops
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?	+- 10
6.3.2.15 Preparatory testing of the questionnaire?	No
6.3.2.16 Number of units participating in the tests?
6.3.2.17 Explanatory notes/handbook for surveyors/respondents?	No
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%
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	Purchase and transformation of cereals and oil crops
6.3.3.12 Unit non-response - rate	0%
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	Reminders
6.3.3.15 If Other, please specify
6.3.3.16 Item non-response rate	0%
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	Purchase and transformation of cereals and oil crops
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	no imputation needed because the survey is exhaustive

6.3.5. Model assumption error

no information available

6.4. Seasonal adjustment

6.5. Data revision - policy

6.6. Data revision - practice

6.6.1 Data revision - average size	no revision made so far
6.6.2 Were data revisions due to conceptual changes (e.g. new definitions) carried out since the last quality report?	No
6.6.3 What was the main reason for the revisions?
6.6.4 How do you evaluate the impact of the revisions?
6.6.5 Additional comments

7. Timeliness and punctuality

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7.1. Timeliness

7.1.1 When were the first results for the reference period published?	not yet published
7.1.2 When were the final results for the reference period published?	not yet published
7.1.3 Reasons for possible long production times?	The first extraction of Intrastat data sometimes is not reliable (imports and exports) and has to be revised several times before it can be used for the CBS compilation

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?	no release calendar available
7.2.4 Number of days between the national release date of data and the target date	not applicable

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	since 2017
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	as they use the same source, there can be no difference unless there is a typing error, which is not the case
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	no consultation possible
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	this Quality Report (EUROSTAT)
9.6.5 Is a handbook available?	Yes
9.6.6 Please provide a link	EUROSTAT handbook

9.7. Quality management - documentation

9.7.1 Metadata completeness - rate
9.7.2 Metadata - consultations
9.7.3 Is a quality report available?	Yes
9.7.4 Please provide a link	this one (link to be provided by EUROSTAT)

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	If one unit can be identified, data is considered to be confidential

11.2. Confidentiality - data treatment

11.2.1 Describe the procedures for ensuring confidentiality during dissemination	no publication of concerned items
11.2.2 Additional comments

12. Comment

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Related metadata

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Annexes

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CropsBS-Annex
questionnaire "Purchase and transformation of cereals and oil crops"