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: Central Statistical Bureau of Latvia

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

Central Statistical Bureau of Latvia

1.2. Contact organisation unit

Agricultural Statistics Section, Agricultural and Environment Statistics Department of the CSB of Latvia

1.5. Contact mail address

Central Statistical Bureau of Latvia, Lacplesa Street 1, Riga, LV-1301

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 (rape and turnip rape seeds, 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

None

2.2. Classification system

The classification system is described in the handbook.

2.3. Coverage - sector

Main cereals and oilseeds

2.4. Statistical concepts and definitions

Statistical concepts and definitions are described in the handbook.

2.5. Statistical unit

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

2.6. Statistical population

Agricultural holdings, traders, purchase and processing enterprises

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?	None

2.8. Coverage - Time

2020

2.9. Base period

Not applicable

3. Statistical processing

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3.1. Source data

Data source details

	Crop statistics	Trade statistics	Stock estimates	Domestic use estimates
Census			x
Sample Survey	x	x	x	x
Administrive data source
Agro-economic model
Expert Estimates		x	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	Purchase of grain, pulses, rape (1-purchase)
3.1.3 Name of Organisation responsible	Central Statistical Bureau of Latvia
3.1.4 Main scope	Full survey of purchase and processing enterprises
3.1.5 List used to build the frame	Bussiness Register, Statistical Farm Register
3.1.6 Any possible threshold values	None
3.1.7 Population size	34
3.1.8 Additional comments	None

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	Sample survey on areas, harvested production and average yield of agricultural crop - section G. ‘Production of crop producs and its utilization on farm level in the reporting year’
3.1.10 Name of Organisation responsible	Central Statistical Bureau of Latvia
3.1.11 Main scope	Agricultural holdings producers of crop products
3.1.12 List used to build the frame	Information from Statistical Farm Register
3.1.13 Any possible threshold values	No
3.1.14 Population size	20 thousand holdings
3.1.15 Sample size	3.5 thousand holdings
3.1.16 Sampling basis	List
3.1.17 If Other, please specify	not applicable
3.1.18 Type of sample design	Stratified
3.1.19 If Other, please specify	Not applicable
3.1.20 If Stratified, number of strata	201
3.1.21 If Stratified, stratification criteria	Unit size Unit location Unit specialization
3.1.22 If Other, please specify	Not applicable
3.1.23 Additional comments	None

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	Not applicable
3.1.25 Name of Organisation responsible	Not applicable Not applicabl
3.1.26 Contact information (email and phone)	Not applicabl
3.1.27 Main administrative scope	Not applicabl
3.1.28 Geospatial Coverage
3.1.29 Update frequency
3.1.30 Legal basis
3.1.31 Are you able to access directly to the micro data?
3.1.32 Are you able to check the plausibility of the data, namely by contacting directly the units?
3.1.33 How would you assess the proximity of the definitions and concepts (including statistical units) used in the administrative source with those required in the EU regulation?
3.1.34 Please list the main differences between the administrative source and the statistical definitions and concepts
3.1.35 Is a different threshold used in the administrative source and statistical data?
3.1.36 If Yes, please specify
3.1.37 Additional comments

Agro-economic model

If there are different models used, please describe the main one below and the additional ones in table 3.1 of the annexed Excel file
3.1.38 Name/Title	Not applicable
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	Estimation of stocks and domestic use
3.1.47 Primary purpose	To estimate stocks and domestic use in case of non-response and in case of data unavailability
3.1.48 Legal basis	Not applicable
3.1.49 Update frequency	Annual
3.1.50 Expert data supplier	Statistical office Ministry Producer organisation
3.1.51 If Other, please specify	Not applicable
3.1.52 How would you assess the quality of those data?	Good
3.1.53 Additional comments	None

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	Not applicable
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	Purchase of grain, pulses, rape (1-purchase)
3.3.2 Methods of data collection	Electronic questionnaire
3.3.3 If Other, please specify
3.3.4 If face-to-face or telephone interview, which method is used?
3.3.5 Data entry method, if paper questionnaires?
3.3.6 Please annex the questionnaire used (if very long: please provide the hyperlink)	Only in Latvian: https://www.csb.gov.lv/lv/respondentiem/veidlapas/2018/1-iepirkums
3.3.7 Additional comments	None

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	Sample survey on areas, harvested production and average yield of agricultural crop - section G. ‘Production of crop producs and its utilization on farm level in the reporting year’
3.3.9 Methods of data collection	Electronic questionnaire 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?	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)	Only in Latvian: https://www.csb.gov.lv/lv/respondentiem/veidlapas/2018/2-ls
3.3.14 Additional comments	None

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	Not applicanle
3.3.16 Extraction date	Not applicable
3.3.17 How easy is it to get access to the data?
3.3.18 Data transfer method	Not applicable
3.3.19 Additional comments	Not applicable

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	Estimation of stocks and domestic use
3.3.21 Methods of data collection	Interviews
3.3.22 Additional comments	None

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
3.4.3 If Other, please specify

3.5. Data compilation

3.5.1 Describe the data compilation process	In accordance with validation rules
3.5.2 Additional comments

3.6. Adjustment

Possible after one year

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?	Activities of the Total Quality Management System to identify statistical and organizational processes, and develop their descriptions in compliance with requirements of the quality management system. Quality Management System is maintained and updated electronically in QPR portal
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?	Further automation
4.1.6 If Other, please specify
4.1.7 Additional comments	None

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	None

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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	Not applicable
5.1.2 Please specify any plans to satisfy needs more completely in the future	Not applicable
5.1.3 Additional comments	None

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	Not applicable
5.2.3 How satisfied were the users?
5.2.4 Additional comments	None

5.3. Completeness

5.3.1 Data completeness - rate	100%
5.3.2 If not complete, which characteristics are missing?	Not applicable
5.3.3 Additional comments	None

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?	Non-response error
6.1.3 If Other, please specify
6.1.4 Additional comments	None

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	Sample survey on areas, harvested production and average yield of agricultural crop - section G. ‘Production of crop producs and its utilization on farm level in the reporting year’
6.2.2 Methods used to assess the sampling error	Relative standard error
6.2.3 If Other, please specify	Not applicable
6.2.4 Methods used to derive the extrapolation factor	Basic weight Non-response Wrong classifaction
6.2.5 If Other, please specify	Not applicable
6.2.6 If coefficients of variation are calculated, please describe the calculation methods and formulas	The relative standard error (percentage) is defined as the standard error divided by the estimated value. The total estimated value is the sum of two estimates, where the first comes from sample (holdings with crop standard output (SO)>=EUR 1500) and the second estimated corresponds to unobserved population (holdings with crop SO<1500. RSE= sqrt (estimate of sampling variance) the total estimated value. The estimate of sampling variance is done by theultimate cluster method (Hansen, Hurvitz and Madow, 1953) and residual estimation from the regression model to take weight calibration into account
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	None

Annexes:
Sampling error - CV

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	Not applicable
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?	Not applicable
6.3.1.4 Does the sample frame include units that do not exist in practice?	No
6.3.1.5 Over-coverage - rate	Not applicable
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	Not applicable
6.3.1.13 Additional comments	None

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	Sample survey on areas, harvested production and average yield of agricultural crop - section G. ‘Production of crop producs and its utilization on farm level in the reporting year’
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?	Not applicable
6.3.1.17 Does the sample frame include units that do not exist in practice?	No
6.3.1.18 Over-coverage - rate	2.0
6.3.1.19 Impact on the data quality	Low
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
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	Not applicable
6.3.1.26 Additional comments	None

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	Not applicable
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	Purchase of grain, pulses, rape (1-iepirkums)
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?	5
6.3.2.4 Preparatory testing of the questionnaire?	Yes
6.3.2.5 Number of units participating in the tests?	3
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
6.3.2.10 Other actions taken for reducing the measurement error?	Not applicable
6.3.2.11 Additional comments	None

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	Sample survey on areas, harvested production and average yield of agricultural crop - section G. ‘Production of crop producs and its utilization on farm level in the reporting year’
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?	15
6.3.2.15 Preparatory testing of the questionnaire?	No
6.3.2.16 Number of units participating in the tests?	Not applicable
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
6.3.2.21 Other actions taken for reducing the measurement error?	Giving possibilities for respondents to apply method of filling in questionnaire electronically via application ISDAVSCASIS where automatic data control takes place and it facilitates receiving of correct data from respondents.
6.3.2.22 Additional comments	None

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	Purchase of grain, pulses, rape (1-iepirkums)
6.3.3.2 Unit non-response - rate	Not applicable
6.3.3.3 How do you evaluate the recorded unit non-response rate in the overall context?	Very low
6.3.3.4 Measures taken for minimising the unit non-response	Reminders
6.3.3.5 If Other, please specify	Not applicable
6.3.3.6 Item non-response rate	Not applicable
6.3.3.7 Item non-response rate - Minimum	Not applicable
6.3.3.8 Item non-response rate - Maximum	Not applicable
6.3.3.9 Which items had a high item non-response rate?	Not applicable
6.3.3.10 Additional comments	None

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	Sample survey on areas, harvested production and average yield of agricultural crop - section G. ‘Production of crop producs and its utilization on farm level in the reporting year’
6.3.3.12 Unit non-response - rate	3.0
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	Weighting
6.3.3.15 If Other, please specify	Not applicable
6.3.3.16 Item non-response rate	Not applicable
6.3.3.17 Item non-response rate - Minimum	Not applicable
6.3.3.18 Item non-response rate - Maximum	Not applicable
6.3.3.19 Which items had a high item non-response rate?	Not applicable
6.3.3.20 Additional comments	None

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	Purchase of grain, pulses, rape (1-purchase)
6.3.4.2 Imputation - rate	None
6.3.4.3 Imputation - basis	Other
6.3.4.4 If Other, please specify	None
6.3.4.5 Additional comments	None

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	Sample survey on areas, harvested production and average yield of agricultural crop - section G. ‘Production of crop producs and its utilization on farm level in the reporting year’
6.3.4.7 Imputation - rate	Not applicable
6.3.4.8 Imputation - basis	Other
6.3.4.9 If Other, please specify	Not applicable
6.3.4.10 How do you evaluate the impact of imputation on Coefficients of Variation?	Not important
6.3.4.11 Additional comments	None

6.3.5. Model assumption error

Not applicable

6.4. Seasonal adjustment

Not applicable

6.5. Data revision - policy

Not applicable

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?	Not important
6.6.5 Additional comments	None

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 applicable
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?	Not applicable
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	4 year
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	2017, new methodology and additional products
8.2.4 Additional comments	None

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	Not applicable
8.3.3 Describe briefly the results of comparisons	Not applicable
8.3.4 If no comparisons have been made, explain why	New data collection
8.3.5 Additional comments	None

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	Not applicable

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	Not applicable

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	Not applicable

9.4. Dissemination format - microdata access

9.4.1 Are micro-data accessible to users?	No
9.4.2 Please provide a link	Not applicable

9.5. Dissemination format - other

Not applicable

9.6. Documentation on methodology

9.6.1 Are national reference metadata files available?	No
9.6.2 Please provide a link	Not applicable
9.6.3 Are methodological papers available?	Yes
9.6.4 Please provide a link	CIRCABC
9.6.5 Is a handbook available?	Yes
9.6.6 Please provide a link	CIRCABC

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	Not applicable

10. Cost and Burden

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10.1 Efficiency gains if compared to the previous quality report	Further automation
10.2 If Other, please specify	Not applicable
10.3 Burden reduction measures since the previous quality report	Other
10.4 If Other, please specify	There is no burden reduction

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	In order to protect statistical data a minimum number of contributors in a cell is needed to publish the data in this cell (n=3). In output tables n>3

11.2. Confidentiality - data treatment

11.2.1 Describe the procedures for ensuring confidentiality during dissemination	In order to protect statistical data a minimum number of contributors in a cell is needed to publish the data in this cell (n=3). In output tables n>3
11.2.2 Additional comments	None

12. Comment

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It is planned to published SBS data and national reference metadata file in Official Statistical Portal in 2022.

Related metadata

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Annexes

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Coeffitions of variation