Livestock and meat (apro_mt)

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

Compiling agency: Federal Statistical Office


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

Federal Statistical Office
1.2. Contact organisation unit

Sektion Wirtschaftsstruktur und -analysen, WSA
Dienststelle Land- und Forstwirtschaft, LFW
1.5. Contact mail address

Bundesamt für Statistik BFS
Sektion Wirtschaftsstruktur und -analysen, WSA
Dienststelle Land- und Forstwirtschaft, LFW

Isabelle Gambetta

Espace de l'Europe 10
2010 Neuchâtel
1.6.1. Contact – Individual or organisational contacts points for the data and metadata, including information how to reach the contact points

Contact – Individual or organisational contacts points for the data and metadata, including information how to reach the contact points

   Contact person  E-mail address
Main contact e-mail address (coordinating organisation)

Isabelle Gambetta

isabelle.gambetta@bfs.admin.ch
E-mail address by statistical domain  
Livestock - Cattle

Isabelle Gambetta

isabelle.gambetta@bfs.admin.ch
Livestock - Pigs

Isabelle Gambetta

isabelle.gambetta@bfs.admin.ch
Livestock - Sheep and goats

Isabelle Gambetta

isabelle.gambetta@bfs.admin.ch
Slaughtering

Isabelle Gambetta

isabelle.gambetta@bfs.admin.ch
GIP forecast Isabelle Gambetta  isabelle.gambetta@bfs.admin.ch
Other slaughtering Isabelle Gambetta  isabelle.gambetta@bfs.admin.ch


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 N°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
2.3. Coverage - sector

Not requested for reference year
2.4. Statistical concepts and definitions

Not requested for reference year
2.5. Statistical unit

Not requested for reference year
2.6. Statistical population

Not requested for reference year
2.7. Reference area

Livestock statistics cover the entire territory of Switzerland.

Slaugthering statistics cover the entire territoy of Switzerland and Liechtenstein.
2.8. Coverage - Time

Not requested for reference year
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

See item 3.2.1.
3.2.1. Reference date of the statistics

Reference date of the statistics

Livestock statistics Bovines animal Pigs Sheep Goats
November/December  full survey, reference day in November  full survey, reference day 31 of december  under threshold  under threshold
November/ December - Regional  see above  see above    
May/June  full survey, reference day in may    
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 internal expert by internal expert
Models Recent changes in the stocks (livestock for fattening) for the forecast for the short term Recent changes in the stocks (livestock for fattening) for the forecast for the short term
Production models (e.g. cycle of pig market)
Other
Other slaughtering covered by the GIP forecast


Additional comments (on the GIP forecast)

Currently the GIP forecast is not done! Under IPA project draft calculation are done with the aim to implement it when transition from administrative data to survey based data will be finalized.





 
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)

Farm slaugthering are few and are decreasing each year.





 
3.4. Data validation

Not requested for reference year
3.5. Data compilation

Not requested for reference year
3.6. Adjustment

Not applicable.


4. Quality management Top
4.1. Quality assurance

Not requested for reference year
4.2. Quality management - assessment

Not requested for reference year


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
Other slaughtering		 Slaughtering - Bovines
Slaughtering - Sheep and goats
Slaughtering - Pigs
Slaughtering - Poultry		 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

 used by all sectoral organisations

Pigs

used by all sectoral organisations

Sheep and goats

used by all sectoral organisations

Slaughtering

Bovines

  used by all sectoral organisations

Pigs

  used by all sectoral organisations

Sheep and goats

  used by all sectoral organisations

Poultry

  used by all sectoral organisations

GIP forecast

Bovines

 

Pigs

  

Sheep and goats

  

Other slaughtering

  
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
Other EU institutions
FAO YES
Other international ‘governmental’ organisation






 
5.2. Relevance - User Satisfaction

See point 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)?
If yes, are the results available to the public?






 
5.3. Completeness

See point 5.3.1
5.3.1. Data completeness - rate

Not requested for reference year.


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 2020 (Number of Head)
Bovine animals (under 1.5 million head)  full survey
Pigs (under 3 million head)  full survey
Sheep (under 500 000 head) 355893
Goats (under 500 000 head)   82313
6.1.2. Quality control survey

Quality control survey

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






 
6.2. Sampling error

Full survey of N animals
6.2.1. Sampling error - indicators

See items 6.2.1.1. and 6.2.1.2.
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 %)  0 0  0  0
 Livestock - Nov./Dec. Regional (in %)  0 0  0  0
 Livestock - May/June (in %)  0     
 Assessment method

 for all livestock statistics we use complete

 administrative data

      
 Further comment        

 

 Slaughtering statistics  Bovine animals  Pigs  Sheep  Goats  Poultry
 Slaughtering statistics (in %)  see file attached  see file attached  see file attached  see file attached  see file attached
 Assessment method  Full survey of N animals; Sample for the weight  Full survey of N animals; Sample for the weight  Full survey of N animals; Sample for the weight.  Full survey of N animals; Sample for the weight. (there is actually a derrogation for goats, but we deliver)  Full survey of N animals; Sample for the weight
 Further comment          


Annexes:
Coefficient of variance of slaughter weights
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 **


* 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 point 6.3.1
6.3.1. Coverage error

  not relevant 
6.3.1.1. Over-coverage - rate

 not relevant 
6.3.1.2. Common units - proportion

 not relevant 
6.3.1.3. Coverage error for each process

  not relevant 
6.3.2. Measurement error

See point 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

Not applicable 
6.3.3.1. Unit non-response - rate

 Exception for poultry. Monthly exhaustive survey.
6.3.3.2. Item non-response - rate

 Only for poultry, negligeable in Switzerland.
6.3.4. Processing error

not applicable 
6.3.4.1. Imputation - rate

 not applicable 
6.3.5. Model assumption error

 not applicable
6.4. Seasonal adjustment

 not applicable
6.5. Data revision - policy

Regular adaptation 
6.6. Data revision - practice

See point 6.6.1
6.6.1. Data revision - average size

Not applicable


7. Timeliness and punctuality Top
7.1. Timeliness

Information requested in the metadata files on statistical processes.
7.1.1. Time lag - first result

Month + 1 
7.1.2. Time lag - final result

not applicable 

 
7.2. Punctuality

Day + 4
7.2.1. Punctuality - delivery and publication

Day +4


8. Coherence and comparability Top
8.1. Comparability - geographical

For all slaughtering-data: Switzerland and Liechtenstein are reported together.
8.1.1. Asymmetry for mirror flow statistics - coefficient

Not applicable
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


Geographical correction

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

 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

 




 
8.1.3. 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)

 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)

 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)

 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


Geographical correction

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

 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

 




 
8.1.7. 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)

 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

 below threshold




 
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

 below threshold




 
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)

 yes

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

Value /Method of calculation

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

 coefficient is used

Frequency of the revision of the values

Please specify the last time that this value was updated?

 uniformity of the production, each 10 years

Main source used

Please define the data source used for the data

 IFS

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)

 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?

 coefficient is used

Frequency of the revision of the values

Please specify the last time that this value was updated?

 each 10 years (+/-)

Main source used

Please define the data source used for the data

 IFS

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)

 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)

 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)

 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

There is no difference between the definitions used in our slaughterhouses survey and the one used in the Member states since it its based on the Regulation (EU) No. 1165/2008 concerning livestock and meat statistics


Geographical correction

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

 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)

 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

 not applicable




 
8.2. Comparability - over time

See point 8.2.2
8.2.1. Length of comparable time series

See point 8.2.2
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

  2009

 

   1

Pigs

  

 1996

 

 1 

Sheep and goats

  

 

    

Slaughtering

 

 

 

Bovines

 2017       12

Pigs

 2017       12

Sheep and goats

        

Poultry

 2019      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

Not applicable.
8.4. Coherence - sub annual and annual statistics

Not applicable
8.5. Coherence - National Accounts

The same data are used
8.6. Coherence - internal

The same data are used


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

all data are published on Internet
9.2. Dissemination format - Publications

all data are published on Internet
9.3. Dissemination format - online database

all data are published on Internet
9.3.1. Data tables - consultations

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

on demand
9.5. Dissemination format - other

on demand
9.6. Documentation on methodology

yes available
9.7. Quality management - documentation

not available (only internal documentation)
9.7.1. Metadata completeness - rate

not available
9.7.2. Metadata - consultations

not applicable


10. Cost and Burden Top

See point 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)

Poultry farm ,produce eggs for human consumption(monthly)

5

 50 min for respondants and 180 for Aviforum (coordinator)=230 (monthly)  12  2760 +1800 per year

Slaughtering in slaughterhouses , red meat, (monthly)0

 0      

Slaughtering in slaughterhouses, poultry meat (monthly)

  20  10  12  2400


11. Confidentiality Top
11.1. Confidentiality - policy

The data that Agristat obtains for the slaughter statistics of large and small livestock (cattle, pigs, sheep) do not allow any conclusions to be drawn about individual persons or companies.

In the poultry sector, the large abattoirs have agreed to the data being published with details of the large abattoirs. They can revoke their consent at any time. However, they are interested in retaining the current form.

 
11.2. Confidentiality - data treatment

idem as 11.1


12. Comment Top


Related metadata Top


Annexes Top