Livestock and meat (apro_mt)

National Reference Metadata in 2022 collection for National Quality Report for Meat Statistics (ESQRMTG2)

Compiling agency: State Data Agency (Statistics Lithuania, SL)


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 Top
1.1. Contact organisation

State Data Agency (Statistics Lithuania, SL)
1.2. Contact organisation unit

Agricultural Statistics Division
1.5. Contact mail address

29 Gedimino Ave., LT-01500 Vilnius, Lithuania
1.6.1. Contact – Individual or organisational contacts points for the data and metadata, including information how to reach the contact points Restricted from publication


2. Statistical presentation Top
2.1. Data description

The livestock and meat statistics are collected under Regulation (EC) No 1165/2008 since 2009. They cover slaughtering in slaughterhouses (monthly) and other slaughtering (annual), GIP (gross indigenous production) forecast (semi-annual or quarterly data), and livestock statistics (once or twice a year), including regional statistics (annual). This template lists the questions constituting the quality report required in Article 17 of EU Regulation No 1165/2008 on livestock and meat statistics.

This quality report covers the year 2022 and all the quality indicators already reported for years 2010, 2013, 2016 and 2019.
2.2. Classification system

Not requested for reference year 2022.
2.3. Coverage - sector

Not requested for reference year 2022.
2.4. Statistical concepts and definitions

Not requested for reference year 2022.
2.5. Statistical unit

Not requested for reference year 2022.
2.6. Statistical population

Not requested for reference year 2022.
2.7. Reference area

Not requested for reference year 2022.
2.8. Coverage - Time

Not requested for reference year 2022.
2.9. Base period

Not applicable.


3. Statistical processing Top
3.1. Source data

Information requested in the metadata files on statistical processes. 

 
3.2. Frequency of data collection

Frequency of data collection – monthly on slaughtering in slaughterhouses and annually on the other data.
3.2.1. Reference date of the statistics

Reference date of the statistics (MM/DD)

Livestock statistics Bovines animal Pigs Sheep Goats
November/December

31/12

31/12

31/12

31/12
November/ December - Regional

12/31

31/12

31/12

31/12
May/June      
3.3. Data collection

See item 3.3.1.
3.3.1. Production of estimates

See items 3.3.1.1 and 3.3.1.2.
3.3.1.1. Process for GIP forecast

Is the following information taken into account to produce the GIP forecast?

  Bovines Pigs Sheep and Goats
No forecast required for sheep and goats    
Extrapolation of known results on slaughtering
Expert assessment of the market
Expert assessment of the GIP by external expert
by internal expert		 by external expert
by internal expert
Models Recent changes in stocks (breeding animals) for the forecast for the longer term Recent changes in the stocks (livestock for fattening) for the forecast for the short term
Other
Other slaughtering covered by the GIP forecast


Additional comments (on the GIP forecast)

External expert from the Lithuanian Centre for Social Sciences.





 
3.3.1.2. Process for estimate of other slaughtering

What significant source do you use to estimate other slaughtering?

 

Bovines

Pigs

 Sheep and Goats
Administrative information from veterinary service
Farm Survey
Consumer Survey
Coefficients based on ad hoc study
Year of calculation (Coefficients based on ad hoc study)
Discrepancy between slaughtering and estimated GIP (For instance, if overall GIP is directly estimated based on data at farm level)
Comprehensive study
Year of calculation (Comprehensive study)


Additional comments (on other slaughtering)

Data on bovines, sheeps and goats slaughtering, other than in slaughterhouses, in farmers' and family farms are calculated from administrative source, the Register of Farm Animals.





 
3.4. Data validation

Not requested for reference year 2022.
3.5. Data compilation

Not requested for reference year 2022.
3.6. Adjustment

Not requested for reference year 2022.


4. Quality management Top
4.1. Quality assurance

Not requested for reference year 2022.
4.2. Quality management - assessment

Not requested for reference year 2022.


5. Relevance Top
5.1. Relevance - User Needs

See items 5.1.1, 5.1.2 and 5.1.3.
5.1.1. Main national users of the statistics on livestock and meat

The data produced under Regulation (EC) No 1165/2008 are used by the following users, in addition to being delivered to Eurostat:

  National accounts (National Accounts, including European Accounts of Agriculture) Supply balance sheets Gross nutrient balance
Main national users Livestock - Bovines
Livestock - Pigs
Livestock - Sheep and goats
Slaughtering - Bovines
Slaughtering - Pigs
Slaughtering - Sheep and goats
Slaughtering - Poultry
GIP forecast - Bovines
GIP forecast - Pigs
Other slaughtering		 Slaughtering - Bovines
Slaughtering - Pigs
Slaughtering - Sheep and goats
Slaughtering - Poultry
Other slaughtering		 Livestock - Bovines
Livestock - Pigs
Livestock - Sheep and goats






 
5.1.2. Other Main national users of the statistics on livestock and meat

Other Main national users of the statistics on livestock and meat, please specify: 

Livestock

Bovines

 

The main users of statistical information are State and municipal authorities and agencies, international organisations, the media, research and business communities, students, whose needs are satisfied without a breach of the confidentiality principle.

Pigs

 

The main users of statistical information are State and municipal authorities and agencies, international organisations, the media, research and business communities, students, whose needs are satisfied without a breach of the confidentiality principle.

Sheep and goats

 

The main users of statistical information are State and municipal authorities and agencies, international organisations, the media, research and business communities, students, whose needs are satisfied without a breach of the confidentiality principle.

Slaughtering

Bovines

 

The main users of statistical information are State and municipal authorities and agencies, international organisations, the media, research and business communities, students, whose needs are satisfied without a breach of the confidentiality principle.

Pigs

 

The main users of statistical information are State and municipal authorities and agencies, international organisations, the media, research and business communities, students, whose needs are satisfied without a breach of the confidentiality principle.

Sheep and goats

 

The main users of statistical information are State and municipal authorities and agencies, international organisations, the media, research and business communities, students, whose needs are satisfied without a breach of the confidentiality principle.

Poultry

 

The main users of statistical information are State and municipal authorities and agencies, international organisations, the media, research and business communities, students, whose needs are satisfied without a breach of the confidentiality principle.

GIP forecast

Bovines

 

The main users of statistical information are State and municipal authorities and agencies, international organisations, the media, research and business communities, students, whose needs are satisfied without a breach of the confidentiality principle.

Pigs

 

The main users of statistical information are State and municipal authorities and agencies, international organisations, the media, research and business communities, students, whose needs are satisfied without a breach of the confidentiality principle.

Sheep and goats

 

Other slaughtering

 

The main users of statistical information are State and municipal authorities and agencies, international organisations, the media, research and business communities, students, whose needs are satisfied without a breach of the confidentiality principle.
5.1.3. Main international users of the statistics on livestock and meat

Does the department in charge of livestock and meat statistics provide data to the following international organisations at their request?

DG Agriculture and Rural Development NO
Other EU institutions NO
FAO YES
Other international ‘governmental’ organisation NO






 
5.2. Relevance - User Satisfaction

See item 5.2.1.
5.2.1. User satisfaction survey

User satisfaction survey

  Answer
Have you already carried out a survey on user satisfaction?
If yes, how long ago (months)?

User satisfaction surveys are carried out every calendar year.
If yes, are the results available to the public?






 
5.3. Completeness

Not requested for reference year 2022.
5.3.1. Data completeness - rate

Not requested for reference year 2022.


6. Accuracy and reliability Top
6.1. Accuracy - overall

See items 6.1.1. and 6.1.2.
6.1.1. Thresholds and legal derogation

Thresholds and legal derogation (Article 4 of regulation N°1165/2008)

Livestock statistics

Total number of animals if under the legal threshold in December 2022 (Number of Heads)
Bovine animals (under 1.5 million head)

641 924
Pigs (under 3 million head)

517 421
Sheep (under 500 000 head)

135 636
Goats (under 500 000 head)

14 994

 

 

 
6.1.2. Quality control survey

Quality control survey

Quality control survey (livestock statistics)
Quality control survey (meat statistics)






 
6.2. Sampling error

See items 6.2.1.1. and 6.2.1.2.
6.2.1. Sampling error - indicators

Information requested in the metadata files on statistical processes.
6.2.1.1. Coefficient of variation achieved for the main variables (only for sample survey)

Coefficient of variation achieved for the main variables (only for sample survey)

 Livestock statistics  Bovine animals  Pigs  Sheep  Goats
 Livestock - Nov./Dec. (in %)

 

2,73

 

 

 Livestock - Nov./Dec. Regional (in %)

 

Sostines regionas – 0,63

Vidurio ir vakaru Lietuvos regionas – 2,87

 

 
 Livestock - May/June (in %)       
 Assessment method

 

 SAS CLAN macro

 

 
 Further comment Data on bovines in farmers' and family farms are received from the administrative source, the Register of Farm Animals, and in agricultural companies and enterprises from exhaustive (census) statistical survey. Coefficient of variation is provided for sample survey on farmers' and family farms. It is equal to 0 for data on agricultural companies and enterprises, collected from exhaustive (census) statistical survey. Data on sheeps in farmers' and family farms are received from the administrative source, the Register of Farm Animals, and in agricultural companies and enterprises from exhaustive (census) statistical survey. Data on goats in farmers' and family farms are received from the administrative source, the Register of Farm Animals, and in agricultural companies and enterprises from exhaustive (census) statistical survey.

 

 Slaughtering statistics  Bovine animals  Pigs  Sheep  Goats  Poultry
 Slaughtering statistics (in %)

 

1,76

 

 

 
 Assessment method

 

SAS CLAN macro

 

 

  
 Further comment
Data on bovines slaughtering are received from exhaustive (census) statistical surveys and calculated from the administrative source, the Register of Farm Animals.
Explanations on slaughterings are provided in point 12.
Data on sheep slaughtering are received from exhaustive (census) statistical surveys and calculated from the administrative source, the Register of Farm Animals.
Data on goats slaughtering are received from exhaustive (census) statistical surveys and calculated from the administrative source, the Register of Farm Animals.
Data on poultry slaughtering in slaughterhouses are received from exhaustive (census) statistical survey.
6.2.1.2. Sampling rate

Sampling rate

  Non-relevant * 1. Frame (Number of units) 2. Sample size (Number of units) Sampling rate ((2/1) x 100%)
Slaughterhouses
Cattle farms
Pig farms
Sheep farms
Goat farms
Animal farms **

81 350

7 002

8,6


* If the main information is drawn from a census, a register or a source other than a survey, the first column is ticked ** Animal farms: if the survey is designed for all livestock together





 
6.3. Non-sampling error

See item 6.3.2.1.
6.3.1. Coverage error

Information requested in the metadata files on statistical processes.
6.3.1.1. Over-coverage - rate

Information requested in the metadata files on statistical processes.
6.3.1.2. Common units - proportion

Not requested for reference year 2022.
6.3.1.3. Coverage error for each process

Information requested in the metadata files on statistical processes.
6.3.2. Measurement error

See item 6.3.2.1.
6.3.2.1. Checklist on measurement errors

Whereas coherence refers to the data disseminated, the measurement errors refer to the data collection.

Slaughtering:

Young cattle and calves recorded separately
Goats actually recorded
Carcass weight recorded fully compliant (Compliant with Regulation (EC) No 1165/2008)
Even for poultry
Poultry slaughtering recorded in tonnes and head

 





 
6.3.3. Non response error

Information requested in the metadata files on statistical processes.
6.3.3.1. Unit non-response - rate

Information requested in the metadata files on statistical processes.
6.3.3.2. Item non-response - rate

Information requested in the metadata files on statistical processes.
6.3.4. Processing error

Information requested in the metadata files on statistical processes.
6.3.4.1. Imputation - rate

Information requested in the metadata files on statistical processes.
6.3.5. Model assumption error

Not requested for reference year 2022.
6.4. Seasonal adjustment

Not requested for reference year 2022.
6.5. Data revision - policy

Information requested in the metadata files on statistical processes. 

 
6.6. Data revision - practice

Not requested for reference year 2022.
6.6.1. Data revision - average size

Not requested for reference year 2022.


7. Timeliness and punctuality Top
7.1. Timeliness

Information requested in the metadata files on statistical processes. 

 
7.1.1. Time lag - first result

Information requested in the metadata files on statistical processes. 
7.1.2. Time lag - final result

Information requested in the metadata files on statistical processes. 
7.2. Punctuality

Information requested in the metadata files on statistical processes. 

 
7.2.1. Punctuality - delivery and publication

Information requested in the metadata files on statistical processes. 

 


8. Coherence and comparability Top
8.1. Comparability - geographical

See items 8.1.2 to 8.1.15.
8.1.1. Asymmetry for mirror flow statistics - coefficient

Not requested for reference year 2022.
8.1.2. Comparability – geographical Calves

Is there any difference between the above referred definitions based on the animals age and/or intended use with the ones used by the respondents in your Member State?


If yes, please describe briefly the difference in the definition

Data on calves and young cattle on farmers' and family farms are received from the Register of Farm Animals. This register doesn't include the data on the intended use of them.


Geographical correction

Do you apply correction of your data in order to meet the EU definition? (Yes/No)

 Yes

IF YES correction of your data is applied in order to meet the EU definition?

Value /Method of calculation

Briefly describe the value of the correction or of the coefficient?

 For the reference year 2022 correction coefficient was estimated, that 39,97% of calves and young cattle were for slaughtering and the rest were not for slaughtering.

Frequency of the revision of the values

Please specify the last time that this value was updated?

 It was calculated for the year 2022.

Main source used

Please define the data source used for the data

 Correction coefficient is based on historical data from the statistical surveys on the number of livestock and animal production on farmers’ and family farms.
2021 was the last time when the data on bovine animals were asked from farmers' and family farms in a survey. After a thorough analysis, it was decided that as the data remain very stable, there is no need to collect them from respondents, and a correction coefficient was calculated on the basis of previous surveys.

IF NO, correction of your data is not applied in order to meet the EU definition?

Is a standard operation procedure (SOP) envisaged to solve the above-mentioned differences?

Briefly describe if a correction will be implemented and if so when?

 

SOP to correct the differences is not envisaged

Please explain the reasons

 

Any further comments, please provide them here

 




 
8.1.3. Comparability – geographical Bulls

Is there any difference between the above referred definitions based on the castration status of the animals and the ones used by the respondents in your Member State?


If yes, please describe briefly the difference in the definition


Geographical correction

Do you apply correction of your data in order to meet the EU definition?(Yes/No)

 

IF YES correction of your data is applied in order to meet the EU definition?

Value /Method of calculation

Briefly describe the value of the correction or of the coefficient?

 

Frequency of the revision of the values

Please specify the last time that this value was updated?

 

Main source used

Please define the data source used for the data

 

IF NO, correction of your data is not applied in order to meet the EU definition?

Is a standard operation procedure (SOP) envisaged to solve the above-mentioned differences?

Briefly describe if a correction will be implemented and if so when?

 

SOP to correct the differences is not envisaged

Please explain the reasons

 

Any further comments, please provide them here

 




 
8.1.4. Comparability – geographical Buffaloes

Is there any difference between the accounting of buffaloes in the different age bovine animal categories and the above referred classes?


If yes, please describe briefly the difference in the definition


Geographical correction

Do you apply correction of your data in order to meet the EU definition? (Yes/No)

 

IF YES correction of your data is applied in order to meet the EU definition?

Value /Method of calculation

Briefly describe the value of the correction or of the coefficient?

 

Frequency of the revision of the values

Please specify the last time that this value was updated?

 

Main source used

Please define the data source used for the data

 

IF NO, correction of your data is not applied in order to meet the EU definition?

Is a standard operation procedure (SOP) envisaged to solve the above-mentioned differences?

Briefly describe if a correction will be implemented and if so when?

 

SOP to correct the differences is not envisaged

Please explain the reasons

 

Any further comments, please provide them here

 




 
8.1.5. Comparability – geographical Cows

Is there any difference between the above referred definitions based on the animals age and/or purpose and the ones used by the respondents in your Member State?


If yes, please describe briefly the difference in the definition


Geographical correction

Do you apply correction of your data in order to meet the EU definition? (Yes/No)

 

IF YES correction of your data is applied in order to meet the EU definition?

Value /Method of calculation

Briefly describe the value of the correction or of the coefficient?

 

Frequency of the revision of the values

Please specify the last time that this value was updated?

 

Main source used

Please define the data source used for the data

 

IF NO, correction of your data is not applied in order to meet the EU definition?

Is a standard operation procedure (SOP) envisaged to solve the above-mentioned differences?

Briefly describe if a correction will be implemented and if so when?

 

SOP to correct the differences is not envisaged

Please explain the reasons

 

Any further comments, please provide them here

 




 
8.1.6. Comparability – geographical Heifers

Is there any difference between the above referred definitions based on the age and/or the intended use and the ones used by the respondents in your Member State?


If yes, please describe briefly the difference in the definition

Data on heifers on farmers' and family farms are received from the Register of Farm Animals. This register doesn't include the data on the intended use of them.


Geographical correction

Do you apply correction of your data in order to meet the EU definition? (Yes/No)

 Yes

IF YES correction of your data is applied in order to meet the EU definition?

Value /Method of calculation

Briefly describe the value of the correction or of the coefficient?

 For the reference year 2022 correction coefficients were estimated, that 1,65% of heifers aged from 1 to 2 years were for slaughtering and the rest were not for slaughtering, 5,51% of heifers aged 2 years or over were for slaughtering and the rest ones were not.

Frequency of the revision of the values

Please specify the last time that this value was updated?

 It was calculated for the year 2022.

Main source used

Please define the data source used for the data

 Correction coefficients were based on historical data from the statistical surveys on the number of livestock and animal production on farmers’ and family farms.
2021 was the last time when the data on bovine animals were asked from farmers' and family farms in a survey. After a thorough analysis, it was decided that as the data remain very stable, there is no need to collect them from respondents, and a correction coefficients were calculated on the basis of previous surveys.

IF NO, correction of your data is not applied in order to meet the EU definition?

Is a standard operation procedure (SOP) envisaged to solve the above-mentioned differences?

Briefly describe if a correction will be implemented and if so when?

 

SOP to correct the differences is not envisaged

Please explain the reasons

 

Any further comments, please provide them here

 




 
8.1.7. Comparability – geographical Lambs

Is there any difference between the above referred definitions based on the age and/or the purpose and the ones used by the respondents in your Member State?


If yes, please describe briefly the difference in the definition


Geographical correction

Do you apply correction of your data in order to meet the EU definition? (Yes/No)

 

IF YES correction of your data is applied in order to meet the EU definition?

Value /Method of calculation

Briefly describe the value of the correction or of the coefficient?

 

Frequency of the revision of the values

Please specify the last time that this value was updated?

 

Main source used

Please define the data source used for the data

 

IF NO, correction of your data is not applied in order to meet the EU definition?

Is a standard operation procedure (SOP) envisaged to solve the above-mentioned differences?

Briefly describe if a correction will be implemented and if so when?

 

SOP to correct the differences is not envisaged

Please explain the reasons

 

Any further comments, please provide them here

 




 
8.1.8. Comparability – geographical Goats

Is there any difference between the above referred definitions based on the animals status and the ones used by the respondents in your Member State?


If yes, please describe briefly the difference in the definition


Geographical correction

Do you apply correction of your data in order to meet the EU definition? (Yes/No)

 

IF YES correction of your data is applied in order to meet the EU definition?

Value /Method of calculation

Briefly describe the value of the correction or of the coefficient?

 

Frequency of the revision of the values

Please specify the last time that this value was updated?

 

Main source used

Please define the data source used for the data

 

IF NO, correction of your data is not applied in order to meet the EU definition?

Is a standard operation procedure (SOP) envisaged to solve the above-mentioned differences?

Briefly describe if a correction will be implemented and if so when?

 

SOP to correct the differences is not envisaged

Please explain the reasons

 

Any further comments, please provide them here

 




 
8.1.9. Comparability – geographical Piglets

Is there any difference between the above referred definitions based on the weight and the one used by the respondents in your Member State?


If yes, please describe briefly the difference in the definition


Geographical correction

Do you apply correction of your data in order to meet the EU definition? (Yes/No)

 

IF YES correction of your data is applied in order to meet the EU definition?

Value /Method of calculation

Briefly describe the value of the correction or of the coefficient?

 

Frequency of the revision of the values

Please specify the last time that this value was updated?

 

Main source used

Please define the data source used for the data

 

IF NO, correction of your data is not applied in order to meet the EU definition?

Is a standard operation procedure (SOP) envisaged to solve the above-mentioned differences?

Briefly describe if a correction will be implemented and if so when?

 

SOP to correct the differences is not envisaged

Please explain the reasons

 

Any further comments, please provide them here

 




 
8.1.10. Comparability – geographical Sows

Is there any difference between the above referred definitions based on the covered status of the animals and the ones used by the respondents in your Member State?


If yes, please describe briefly the difference in the definition


Geographical correction

Do you apply correction of your data in order to meet the EU definition? (Yes/No)

 

IF YES correction of your data is applied in order to meet the EU definition?

Value /Method of calculation

Briefly describe the value of the correction or of the coefficient?

 

Frequency of the revision of the values

Please specify the last time that this value was updated?

 

Main source used

Please define the data source used for the data

 

IF NO, correction of your data is not applied in order to meet the EU definition?

Is a standard operation procedure (SOP) envisaged to solve the above-mentioned differences?

Briefly describe if a correction will be implemented and if so when?

 

SOP to correct the differences is not envisaged

Please explain the reasons

 

Any further comments, please provide them here

 




 
8.1.11. Comparability – geographical Slaughter units

Is there any difference between the above referred definitions based on the units provided by the respondents in your Member State?


If yes, please describe briefly the difference in the definition


Geographical correction

Do you apply correction of your data in order to meet the EU definition? (Yes/No)

 

IF YES correction of your data is applied in order to meet the EU definition?

Value /Method of calculation

Briefly describe the value of the correction or of the coefficient?

 

Frequency of the revision of the values

Please specify the last time that this value was updated?

 

Main source used

Please define the data source used for the data

 

IF NO, correction of your data is not applied in order to meet the EU definition?

Is a standard operation procedure (SOP) envisaged to solve the above-mentioned differences?

Briefly describe if a correction will be implemented and if so when?

 

SOP to correct the differences is not envisaged

Please explain the reasons

 

Any further comments, please provide them here

 




 
8.1.12. Comparability – geographical Carcasses

Is there any difference between the above referred definitions based on the animals carcass weight and the ones used by respondents in your Member State?


If yes, please describe briefly the difference in the definition


Geographical correction

Do you apply correction of your data in order to meet the EU definition? (Yes/No)

 

IF YES correction of your data is applied in order to meet the EU definition?

Value /Method of calculation

Briefly describe the value of the correction or of the coefficient?

 

Frequency of the revision of the values

Please specify the last time that this value was updated?

 

Main source used

Please define the data source used for the data

 

IF NO, correction of your data is not applied in order to meet the EU definition?

Is a standard operation procedure (SOP) envisaged to solve the above-mentioned differences?

Briefly describe if a correction will be implemented and if so when?

 

SOP to correct the differences is not envisaged

Please explain the reasons

 

Any further comments, please provide them here

 




 
8.1.13. Comparability – geographical Carcasses poultry

Is there any difference between the above referred definition and the one used by respondents in your Member State?


If yes, please describe briefly the difference in the definition


Geographical correction

Do you apply correction of your data in order to meet the EU definition? (Yes/No)

 

IF YES correction of your data is applied in order to meet the EU definition?

Value /Method of calculation

Briefly describe the value of the correction or of the coefficient?

 

Frequency of the revision of the values

Please specify the last time that this value was updated?

 

Main source used

Please define the data source used for the data

 

IF NO, correction of your data is not applied in order to meet the EU definition?

Is a standard operation procedure (SOP) envisaged to solve the above-mentioned differences?

Briefly describe if a correction will be implemented and if so when?

 

SOP to correct the differences is not envisaged

Please explain the reasons

 

Any further comments, please provide them here

 




 
8.1.14. Comparability – geographical Slaughterhouse

Is there any difference between the above referred definition and the one used by the respondents in your Member State?


If yes, please describe briefly the difference in the definition


Geographical correction

Do you apply correction of your data in order to meet the EU definition? (Yes/No)

 

IF YES correction of your data is applied in order to meet the EU definition?

Value /Method of calculation

Briefly describe the value of the correction or of the coefficient?

 

Frequency of the revision of the values

Please specify the last time that this value was updated?

 

Main source used

Please define the data source used for the data

 

IF NO, correction of your data is not applied in order to meet the EU definition?

Is a standard operation procedure (SOP) envisaged to solve the above-mentioned differences?

Briefly describe if a correction will be implemented and if so when?

 

SOP to correct the differences is not envisaged

Please explain the reasons

 

Any further comments, please provide them here

 




 
8.1.15. Comparability – geographical Gross indigenous production

Is there any difference between the above referred definition and the one used by the respondents in your Member State?


If yes, please describe briefly the difference in the definition


Geographical correction

Do you apply correction of your data in order to meet the EU definition? (Yes/No)

 

IF YES correction of your data is applied in order to meet the EU definition?

Value /Method of calculation

Briefly describe the value of the correction or of the coefficient?

 

Frequency of the revision of the values

Please specify the last time that this value was updated?

 

Main source used

Please define the data source used for the data

 

IF NO, correction of your data is not applied in order to meet the EU definition?

Is a standard operation procedure (SOP) envisaged to solve the above-mentioned differences?

Briefly describe if a correction will be implemented and if so when?

 

SOP to correct the differences is not envisaged

Please explain the reasons

 

Any further comments, please provide them here

 




 
8.2. Comparability - over time

See item 8.2.2.
8.2.1. Length of comparable time series

Not requested for reference year 2022. 
8.2.2. First year of availability of comparable data

First year when the statistics were produced with comparable figures for all, most or only the main variables (e.g. total numbers of animals):

 

All

Most

Main variables

Number of periods per year*

Livestock

 

Bovines

 2013 2004 1990  1

Pigs

 2013 2004 1990  1

Sheep and goats

 2013  2009 1990  1

Slaughtering

 

 

 

Bovines

 2009 2004 2004  12

Pigs

 2009 2004 2004  12

Sheep and goats

 2009 2004 2004  12

Poultry

 2009 2006 2004  12

* Number of periods per year: according to the frequency of statistics, i.e. 12 for monthly data, 4 for quarterly data, 1 for annual data, etc.
8.3. Coherence - cross domain

Information requested in the metadata files on statistical processes.
8.4. Coherence - sub annual and annual statistics

Not requested for reference year 2022.
8.5. Coherence - National Accounts

Not requested for reference year 2022.
8.6. Coherence - internal

Information requested in the metadata files on statistical processes.


9. Accessibility and clarity Top
9.1. Dissemination format - News release

Not requested for reference year 2022.
9.2. Dissemination format - Publications

Information requested in the metadata files on statistical processes.
9.3. Dissemination format - online database

Information requested in the metadata files on statistical processes.
9.3.1. Data tables - consultations

Information requested in the metadata files on statistical processes.
9.4. Dissemination format - microdata access

Information requested in the metadata files on statistical processes.
9.5. Dissemination format - other

Information requested in the metadata files on statistical processes.
9.6. Documentation on methodology

Information requested in the metadata files on statistical processes.
9.7. Quality management - documentation

Information requested in the metadata files on statistical processes.
9.7.1. Metadata completeness - rate

Not requested for reference year 2022.
9.7.2. Metadata - consultations

Information requested in the metadata files on statistical processes.


10. Cost and Burden Top

See item 10.1.
10.1. Burden on the respondents

Estimated burden on the respondents (in hours and minutes) to statistical surveys on livestock and meat (administrative sources are excluded)

Label statistical survey The number of respondents (average) The average time spent by the respondents to provide information (in minutes) The number of occurrences of the statistical survey over the reference year The overall yearly burden on the respondents - TOTAL (in minutes)

Sample survey on number of livestock and animal production on farmers' and family farms

7002

10

1

70 020

Exhaustive (census) survey on number of livestock and animal production in agricultural companies and enterprises

219

140

1

30 660

Total slaughterings from slaughterhouses

 46 137

12

75 624
         
         
         
         
         
         
         


11. Confidentiality Top
11.1. Confidentiality - policy

Information requested in the metadata files on statistical processes.
11.2. Confidentiality - data treatment

Information requested in the metadata files on statistical processes.


12. Comment Top

Additional comment on point 6.2.1.1. Coefficient of variation achieved for the main variables (only for sample survey)

In a sample survey on farmers' and family farms (specific file SP1) not only the data on livestock number (including pigs) in the beginning and the end of the year are collected, but also the data on movements of livestock throughout the whole reference year (births, purchases, slaughterings in own farm, sales for slaughtering, sales for breeding, deaths) are gathered. For all of these indicators estimates are calculated, therefore in the 6.2.1.1. point we filled in those slaughtering estimates, that are slaughterings in own farms and sales for slaughtering (from a sample survey on farmers' and family farms). Annual data on pigs slaughtering, other than in slaughterhouses, on farmers' and family farms are sent to Eurostat from this statistical survey.

Data on slaughterings in agricultural companies and enterprises for all kinds of farm animals are collected from exhaustive (census) survey (specific file SP2).

Monthly data on slaughterings in slaughterhouses for all kinds of farm animals are submitted from another exhaustive (census) statistical survey (specific file SP3).

Annual data on bovines, sheeps and goats slaughtering, other than in slaughterhouses, in farmers' and family farms are calculated from administrative source, the Register of Farm Animals (specific file SP4).


Related metadata Top


Annexes Top