Livestock and meat (apro_mt)

National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS)

Compiling agency: CSB (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 Top
1.1. Contact organisation

CSB (Central Statistical Bureau of Latvia)
1.2. Contact organisation unit

Agricultural Statistics section CSB of Latvia
1.5. Contact mail address

Lacpleša Street 1 LV-1301 RIGA


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 2019 and all the quality indicators already reported for years 2010, 2013 and 2016.
2.2. Classification system

Not requested for reference year 2019.
2.3. Coverage - sector

Not requested for reference year 2019.
2.4. Statistical concepts and definitions

Not requested for reference year 2019.
2.5. Statistical unit

Not requested for reference year 2019.
2.6. Statistical population

Not requested for reference year 2019.
2.7. Reference area

Not requested for reference year 2019.
2.8. Coverage - Time

Not requested for reference year 2019.
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

31/12

31/12

31/12

31/12
November/ December - Regional

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 external 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
Other
Other slaughtering covered by the GIP forecast


Additional comments (on the GIP forecast)
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)

[3] From 2017, data on cattle, sheep and goats slaughtered outside slaughterhouses are based on the Agricultural Data Center Animal Register information
3.4. Data validation

Not requested for reference year 2019.
3.5. Data compilation

Not requested for reference year 2019.
3.6. Adjustment

Not requested for reference year 2019.


4. Quality management Top
4.1. Quality assurance

Not requested for reference year 2019.
4.2. Quality management - assessment

Not requested for reference year 2019.


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
Slaughtering - Pigs
Slaughtering - Sheep and goats
Livestock - Sheep and goats
Slaughtering - Bovines
Slaughtering - Poultry
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 Ministry of Agriculture

Pigs

 The Ministry of Agriculture

Sheep and goats

 The Ministry of Agriculture

Slaughtering

Bovines

 The Ministry of Agriculture

Pigs

 The Ministry of Agriculture

Sheep and goats

 The Ministry of Agriculture

Poultry

 The Ministry of Agriculture

GIP forecast

Bovines

 

Pigs

 

Sheep and goats

 

Other slaughtering

 The Ministry of Agriculture
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 YES
Other EU institutions YES
FAO YES
Other international ‘governmental’ organisation Not known
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)?

12
If yes, are the results available to the public?
5.3. Completeness

Not requested for reference year 2019.
5.3.1. Data completeness - rate

Not requested for reference year 2019.


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 2015 (Number of Head)
Bovine animals (under 1.5 million head)

395300
Pigs (under 3 million head)

314200
Sheep (under 500 000 head)

99800
Goats (under 500 000 head)

11700
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 %)  

0,72

    
 Livestock - Nov./Dec. Regional (in %)    0,72    
 Livestock - May/June (in %)       
 Assessment method  

The precision estimation is done by the ultimate cluster method (Hansen, Hurwitz and Madow, 1953) with residual estimation from the regression model to take weight calibration into account. The weight calibration is performed by region according to the number of farms and livestock registry information of cattle, dairy cows and the number of pigs both on 01.07.2019 and on 01.01.2019.

    
 Further comment

Data on number of bovines are based on the Animal register information of the Agriculture Data Centre.

  

Data on number of sheep are based on the Animal register information of the Agriculture Data Centre.

Data on number of goats are based on the Animal register information of the Agriculture Data Centre.

 

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

 

0.9

 

 

 
 Assessment method

 

The precision estimation is done by the ultimate cluster method (Hansen, Hurwitz and Madow, 1953) with residual estimation from the regression model to take weight calibration into account. The weight calibration is performed by region according to the number of farms and livestock registry information of  the number of pigs both on 01.07.2019 and on 01.01.2019.

 

 

 
 Further comment  Data on slaughtering of bovines are based on the Animal register information of the Agriculture Data Centre.    Data on slaughtering of sheep are based on the Animal register information of the Agriculture Data Centre.  Data on slaughtering of goats are based on the Animal register information of the Agriculture Data Centre.  Monhly data on slaughtering on poultry are obtained using full 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 **

16259

2401

14.8


* 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 2019.
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 2019.
6.4. Seasonal adjustment

Not requested for reference year 2019.
6.5. Data revision - policy

Information requested in the metadata files on statistical processes.
6.6. Data revision - practice

Not requested for reference year 2019.
6.6.1. Data revision - average size

Not requested for reference year 2019.


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 2019.
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)

 

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

 Any corrections have not been applied.
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

 Any corrections have not been applied.
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

 Any corrections have not been applied.
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

 Any corrections have not been applied.
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)

 

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

 Any corrections have not been applied.
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

 Any corrections have not been applied.
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

 Any corrections have not been applied.
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

 Any corrections have not been applied.
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

 Any corrections have not been applied.
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

 Any corrections have not been applied.
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

 Any corrections have not been applied.
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

 Any corrections have not been applied.
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

 Any corrections have not been applied.
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

 'Forecasts for the period not exceeding the life expectancy of livestock (cattle, pigs) are made on the basis of data on the number of livestock and the age and sex structure in the herd and the changes over the previous year.  It is compared with the latest data on the number of livestock slaughtered in each group of livestock in the previous year and the proportion is used.  For this purpose information from CSB reports and surveys is used.
If the forecast period is longer than the potential life expectancy of the livestock (calves up to 1 year, also pigs), the number of births is forecast as follows: 1) development of the purchase price and other factors (influence of the agricultural policy, etc.) affecting production cuts or expansion; 2) changes in the number of maternal animals as compared to the previous period.  If the number of livestock to be slaughtered include both already born (available information) and not yet known animals, the methods are combined.  Influence of the market factors is also evaluated.  For example, as the milk prices increase, it is expected that most of the heifers will be retained in the herd and not slaughtered etc. Given that in practice there is an indicative rather than a direct connection between these figures and the real-life situation, also estimates (for example, forecasts for the number of exported live cattle) and a logical control of results is used.
8.2. Comparability - over time

See item 8.2.2.
8.2.1. Length of comparable time series

Not requested for reference year 2019. 
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

  

 

 1995

  1

Pigs

  

 

 1995

  1

Sheep and goats

  

 

 1995

  1

Slaughtering

 

 

 

Bovines

    

 1995

  12

Pigs

    

 1995

  12

Sheep and goats

    

 1995

  12

Poultry

  

 

 1995

  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 2019.
8.5. Coherence - National Accounts

Not requested for reference year 2019.
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 2019.
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 2019.
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)

SP1 Annual Animal Survey (sample survey) 

2401

35.8

1

85956

SP5 Monthly Statistical Survey on slaughtering of livestock (poultry and rabbits) in slaughterhouse

16

9.5

12

1824
         

 

 

 

 

 

 

 

 

 

 
         
         
         
         
         


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


Related metadata Top


Annexes Top
SP2: The Animal register information of the Agriculture Data Centre- other slaughtering (bovine, sheep and goats)