Slaughtering in slaughterhouses - monthly data (apro_mt_pwgtm)

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

Compiling agency: Information requested in the metadata file on general questions.  MAF (Ministry of Agriculture and Food)


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

Information requested in the metadata file on general questions. 

MAF (Ministry of Agriculture and Food)
1.2. Contact organisation unit

Information requested in the metadata file on general questions. 

Agrostatistics Department
1.5. Contact mail address

Information requested in the metadata file on general questions. EGalabova@mzh.government.bg

 


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. 
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

Not requested for reference year.
2.8. Coverage - Time

Not requested for reference year.
2.9. Base period

Not applicable.


3. Statistical processing Top
3.1. Source data

See item 3.1.1. and 3.1.2.
3.1.1. Labelling of the statistical processes

SP1 : Sample survey for November data collection for all types of animals
3.1.2. Data Sources for the defined process

Data sources used to meet Regulation (EC) No 1165/2008 for the defined process in 3.1.1.

A. Main source
List of statistical units, frequency of revision (decimal years): 

0
Institution in charge of data collection MoA = Ministry of Agriculture
First year of data availability by (current) source 2001
Type of source Ad hoc survey
If Administrative source, please specify
If Other source, please specify
Does this main source cover All the respondents (sample)
If the main source is a source other than a statistical survey, please attach a short description of the source
B. Additional source of information
Additional source of information None
Institution in charge of data collection
First year of data availability by source
C. Additional comments
Livestock

Тhe agrostatistics department was granted an access to the Bulgarian Food Safety Agency administrate data. It contains data on the registered animals in the agricultural holdings.The extracted administrative data is used for crosschecks and replacement values in case of nonreply.

 

 
Slaughtering

The survey of slaughterhouses (red and white meat) is conducted monthly, all slaughterhouses are surveyed  (exhaustively).  The respondents are introduced for online data entry and they are granted an access to the agrostatistics information system (ISAS).

 

 






 
3.1.2.1. List of statistical units, frequency of revision (decimal years*):

0
3.1.2.2. Institution in charge of data collection
MoA = Ministry of Agriculture
3.1.2.3. First year of data availability by (current) source
2001
3.1.2.4. Type of source
Ad hoc survey
3.1.2.5. If Administrative source, please specify
3.1.2.6. If Other source, please specify
3.1.2.7. Does this main source cover
All the respondents (sample)
3.1.2.8. If the main source is a source other than a statistical survey, please attach a short description of the source
3.1.2.9. Additional source of information
None
3.1.2.10. Institution in charge of data collection
3.1.2.11. First year of data availability by source
3.1.2.12. Livestock

Тhe agrostatistics department was granted an access to the Bulgarian Food Safety Agency administrate data. It contains data on the registered animals in the agricultural holdings.The extracted administrative data is used for crosschecks and replacement values in case of nonreply.

 

 
3.1.2.13. Slaughtering

The survey of slaughterhouses (red and white meat) is conducted monthly, all slaughterhouses are surveyed  (exhaustively).  The respondents are introduced for online data entry and they are granted an access to the agrostatistics information system (ISAS).

 

 
3.2. Frequency of data collection

Information requested in the metadata file on general questions.
3.3. Data collection

Information requested in the metadata file on general questions.
3.4. Data validation

Not requested for reference year.
3.5. Data compilation

Not requested for reference year.
3.6. Adjustment

Not requested for reference year.


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

Information requested in the metadata file on general questions.
5.2. Relevance - User Satisfaction

Information requested in the metadata file on general questions.
5.3. Completeness

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

Not requested for reference year.


6. Accuracy and reliability Top

See the items 6.2., 6.3., 6.5. and 6.6.
6.1. Accuracy - overall

Information requested in the metadata file on general questions.
6.2. Sampling error

See the item 6.2.1.1.
6.2.1. Sampling error - indicators

See the item 6.2.1.1.
6.2.1.1. Sample design

Sample design to be reported for the process reported in item 3.1.1.

Questionnaire
Random sampling
Multi-stage sample
Clustered sample
Stratified sample
Stratification criteria
Location
Size of unit (animals/production level)
Legal status of unit
Specialisation (farm type/species slaughtered)
Total number of strata

331


Are some strata surveyed exhaustively? (Exhaustive strata)

% of units in exhaustive strata

60.9
% of animals/meat produced

58.5
Allocation method Neyman





 
6.2.1.1.1. Random sampling
6.2.1.1.2. Multi-stage sample
6.2.1.1.3. Clustered sample
6.2.1.1.4. Stratified sample
6.2.1.1.5. Location
6.2.1.1.6. Size of unit (animals/production level)
6.2.1.1.7. Legal status of unit
6.2.1.1.8. Specialisation (farm type/species slaughtered)
6.2.1.1.9. Total number of strata

331
6.2.1.1.10. % of units in exhaustive strata

60.9
6.2.1.1.11. % of animals/meat produced

58.5
6.2.1.1.12. Allocation method
Neyman
6.3. Non-sampling error

See the items 6.3.1, 6.3.2, 6.3.3 and 6.3.4
6.3.1. Coverage error

See item 6.3.1.3
6.3.1.1. Over-coverage - rate

See item 6.3.1.3
6.3.1.2. Common units - proportion

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

Coverage error to be reported for the process reported in item 3.1.1.

Geographical coverage
The whole territory of the Member State including separate territories and only them1
Threshold or other conditions
Small farms/slaughterhouses
Farms/slaughterhouses which have just started/ceased
Empty farms/buildings 2
Farms without milk quotas
Emergency slaughtering
Non-agricultural units are excluded (e.g. slaughterhouses or animal traders)
A2: Rate of over coverage (%)
The rate of over coverage is the proportion of units accessible in the frame that do not belong to the target population (i.e. are ‘out of scope’).

0.70%
Further comments

381 new holdings are included in 2022

1 Regulation (EC) No 1059/2003 lists the territories to be covered (e.g. French overseas "departments").
2 On the date of the survey, some farms or holding can be provisionally empty, for instance for sanitary emptying, whereas they have normally an activity and take part to the frame.


Questionnaire:





 
6.3.1.3.1. The whole territory of the Member State including separate territories and only them*
6.3.1.3.2. Small farms/slaughterhouses
6.3.1.3.3. Farms/slaughterhouses which have just started/ceased
6.3.1.3.4. Empty farms/buildings *
6.3.1.3.5. Farms without milk quotas
6.3.1.3.6. Emergency slaughtering
6.3.1.3.7. Non-agricultural units are excluded (e.g. slaughterhouses or animal traders)
6.3.1.3.8. The rate of overcoverage is the proportion of units accessible in the frame that do not belong to the target population (i.e. are ‘out of scope’).

0.70%
6.3.1.3.9. Further comments

381 new holdings are included in 2022
6.3.2. Measurement error

See the item 6.3.2.1.
6.3.2.1. Survey questionnaire

Survey questionnaire for the process reported in item 3.1.1

Number of surveys already performed with the current questionnaire (or a slightly amended version of it)

21
Interviewers having already performed the same survey: is there a stable group of interviewers? As far as possible
Handbook for surveyors/explanatory notes: Year

2021
Hot-line support for surveyors/respondents?
On-line FAQ for surveyors/respondents?
Number of units participating in field testing (If relevant)
Average/normal number of days’ training for new interviewers 2
Questionnaire based on usual concepts for respondents
Cross-check of results
Pre-filled questionnaires






 
6.3.2.1.1. Survey questionnaire attachment

Survey questionnaire

Attached

Hyperlink

Filename or hyperlink

 

 

 
6.3.2.1.2. Number of surveys already performed with the current questionnaire (or a slightly amended version of it)

21
6.3.2.1.3. Interviewers having already performed the same survey: is there a stable group of interviewers?
As far as possible
6.3.2.1.4. Handbook for surveyors/explanatory notes: Year

2021
6.3.2.1.5. Hot-line support for surveyors/respondents?
6.3.2.1.6. On-line FAQ for surveyors/respondents?
6.3.2.1.7. Number of units participating in field testing
6.3.2.1.8. Average/normal number of days’ training for new interviewers
2
6.3.2.1.9. Questionnaire based on usual concepts for respondents
6.3.2.1.10. Cross-check of results
6.3.2.1.11. Pre-filled questionnaires
6.3.3. Non response error

See items 6.3.3.1, 6.3.3.2, 6.3.3.3 and 6.3.3.4
6.3.3.1. Unit non-response - rate

See item 6.3.3.1.1.
6.3.3.1.1. Unit non-response – rate by process

Non-response error for the process reported in item 3.1.1.

A4. Unit response rate in % 

99.9
Whatever this rate is, do you need to improve it?
Treatment of non-response: Imputation






 
6.3.3.1.1.1. A4. Unit response rate in % 

99.9
6.3.3.1.1.2. Whatever this rate is, do you need to improve it?
6.3.3.1.1.3. Treatment of non-response:
Imputation
6.3.3.2. Item non-response - rate

See item 6.3.3.2.1.
6.3.3.2.1. Item non-response – rate by process

Non-response for the process reported in item 3.1.1.

A5. Item response rate in % 

99.9
Whatever this rate is, do you need to improve it?
Treatment of non-response: Imputation






 
6.3.3.2.1.1. A5. Item response rate in % 

99.9
6.3.3.2.1.2. Whatever this rate is, do you need to improve it?
6.3.3.2.1.3. Treatment of non-response:
Imputation
6.3.3.3. Unit non-response analysis

Unit non-response analysis for the process reported in item 3.1.1.

 Have the non-responses been analysed yet? Yes, for this survey
 Risk of bias due to non-response Insignificant
 Further explanations/comments

If possible, failures shall be replaced by similar units in the same stratum. If it is in an exhaustive stratum, and cannot be replaced, if the administrative data is available for  variables they are used. If not  the data from similar in size and specialization units is used.






 
6.3.3.3.1. Have the non-responses been analysed yet?
Yes, for this survey
6.3.3.3.2. Risk of bias due to non-response
Insignificant
6.3.3.3.3. Further explanations/comments

If possible, failures shall be replaced by similar units in the same stratum. If it is in an exhaustive stratum, and cannot be replaced, if the administrative data is available for  variables they are used. If not  the data from similar in size and specialization units is used.
6.3.3.4. Imputation procedure

Imputation procedure for the process reported in item 3.1.

Imputation, based on similar units
Other
Imputation is not used
A6. Imputation rate (%)   

0.2






 
6.3.3.4.1. Imputation, based on
similar units
6.3.3.4.2. Other
6.3.3.4.3. Imputation is not used
6.3.3.4.4. A6. Imputation rate (%)

0.2
6.3.4. Processing error

See items 6.3.4.2., 6.3.4.3. and 6.3.4.4.
6.3.4.1. Imputation - rate

Not requested for reference year.
6.3.4.2. Internal processing error
No change
6.3.4.3. Transmission processing errors

Transmission processing errors -Use of EDAMIS Webforms

 In the department responsible for animal production statistics
 At the central level of the organisation (in charge of livestock and meat statistics) in a specialised department responsible for data transmission
 At central NSI level (if different from the organisation)






 
6.3.4.3.1. In the department responsible for animal production statistics
6.3.4.3.2. At the central level of the organisation (in charge of livestock and meat statistics) in a specialised department responsible for data transmission
6.3.4.3.3. At central NSI level (if different from the organisation)
6.3.4.4. Control procedure- processing errors

Under this item a "control set" is understood as a sequence of checks conducted by the same stakeholder/service at a given stage. Whether the sequence is interrupted has no impact if the data are not used or disseminated meanwhile.

Interactive on the interview/electronic form
Number of controls sets from field work to transmission to Eurostat 3
Cross-validation against Previous survey
Sample Survey for control






 
6.3.4.4.1. Interactive on the interview/electronic form
6.3.4.4.2. Number of controls sets from field work to transmission to Eurostat
3
6.3.4.4.3. Cross-validation against
Previous survey
6.3.4.4.4. Sample Survey for control
6.3.5. Model assumption error

Not requested for reference year.
6.4. Seasonal adjustment

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

See item 6.5.1.
6.5.1. Data revision for each process

Data revision for the process reported in item 3.1.1.

Revision policy
The data are subject to revision
Update of Eurostat data is covered
Number of revisions for previous reference year 0
The time series are revised after census results
The statistics previously published are revised after a census (rebasing)
A8: Average size of revisions
The average, over a period, of the revisions of a key indicator  0






 
6.5.1.1. The data are subject to revision
6.5.1.2. Update of Eurostat data is covered
6.5.1.3. Number of revisions for previous reference year
0
6.5.1.4. The time series are revised after census results
6.5.1.5. The statistics previously published are revised after a census (rebasing)
6.5.1.6. The average, over a period, of the revisions of a key indicator
0
6.6. Data revision - practice

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

Not requested for reference year.


7. Timeliness and punctuality Top
7.1. Timeliness

See the items 7.1.1. and 7.1.2.
7.1.1. Time lag - first result

See item 7.1.1.1.
7.1.1.1. Time lag - first result for each process

Time lag - first result for the process reported in item 3.1.1.

Time lag between the end of the reference period and date of first/preliminary results/statistics (days)

106
No preliminary results published






 
7.1.1.1.1. Time lag between the end of the reference period and date of first/preliminary results/statistics (days)

106
7.1.1.1.2. No preliminary results published
7.1.2. Time lag - final result

See item 7.1.2.1.
7.1.2.1. Time lag - final result for each process

195
7.2. Punctuality

See item 7.2.1.1.
7.2.1. Punctuality - delivery and publication

See item 7.2.1.1.
7.2.1.1. Punctuality - delivery and publication for each process

Availability of data to national users for the process reported in item 3.1.1.

In comparison with transmission to Eurostat, the statistical results are usually available to the national users: More than three days later
The national legislation sets an earlier deadline than the EU legislation






 
7.2.1.1.1. In comparison with transmission to Eurostat, the statistical results are usually available to the national users:
More than three days later
7.2.1.1.2. The national legislation sets an earlier deadline than the EU legislation


8. Coherence and comparability Top
8.1. Comparability - geographical

Information requested in the metadata file on general questions.
8.1.1. Asymmetry for mirror flow statistics - coefficient

Not requested for reference year.
8.2. Comparability - over time

See item 8.2.2.
8.2.1. Length of comparable time series

Not requested for reference year. 
8.2.2. Reasons for non-comparability
8.3. Coherence - cross domain

See item 8.3.1.
8.3.1. Coherence between selected statistical domains and livestock and meat statistics

Coherence between selected statistical domains and livestock and meat statistics for the process reported in item 3.1.1. Choose the concepts which are the same in livestock and meat statistics and in the following other domains:

National accounts (Including Economic Accounts for Agriculture) coverage
Farm structure survey coverage
Administrative source
Foreign trade
Prices coverage of agricultural products
Further explanations






 
8.3.1.1. National accounts (Including Economic Accounts for Agriculture)
coverage
8.3.1.2. Farm structure survey
coverage
8.3.1.3. Administrative source
8.3.1.4. Foreign trade
8.3.1.5. Prices coverage of agricultural products
8.3.1.6. Further explanations
8.4. Coherence - sub annual and annual statistics

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

Not requested for reference year 2019.
8.6. Coherence - internal

See item 8.6.1.
8.6.1. Coherence – between concepts

Coherence between concepts for national livestock and meat statistics and those in Regulation 1165/2008 for the process reported in item 3.1.1.

Population (statistical units) Same
Population (coverage) Same
Reference period Same
Classification Same
Geographical coverage Same
Further explanations






 
8.6.1.1. Population (statistical units)
Same
8.6.1.2. Population (coverage)
Same
8.6.1.3. Reference period
Same
8.6.1.4. Classification
Same
8.6.1.5. Geographical coverage
Same
8.6.1.6. Further explanations


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

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

See item 9.2.1.
9.2.1. Dissemination format – Publications by process

Dissemination via publications for the process reported in item 3.1.1.

Dissemination via publications on: General statistics
Press release
Specific analyses/specialised papers






 
9.2.1.1. Dissemination via publications on:
General statistics
9.2.1.2. Press release
9.2.1.3. Specific analyses/specialised papers
9.3. Dissemination format - online database

See item 9.3.1.
9.3.1. Data tables - consultations

See item 9.3.1.1.
9.3.1.1. Public access to data for each process

Public access to the data for the process reported in item 3.1.1.

On-line dissemination: Public access to the data Main results
Website giving access to the data

MZH website.






 
9.3.1.1.1. On-line dissemination: Public access to the data
Main results
9.3.1.1.2. Website giving access to the data

MZH website.
9.4. Dissemination format - microdata access

See item 9.4.1.
9.4.1. Access to confidential data by process

Access to confidential data (if relevant) for researchers






 
9.4.1.1. Access to confidential data (if relevant) for researchers
9.5. Dissemination format - other

See item 9.5.1 
9.5.1. Publications available in English for each process

Publications available in English for the process

Publications available in English
If yes, specify links to the publications: 






 
9.5.1.1. Publications available in English
9.5.1.2. If yes, specify links to the publications:
9.6. Documentation on methodology

The Metadata document is attached.
9.7. Quality management - documentation

See item 9.7.2.
9.7.1. Metadata completeness - rate

Not requested for reference year.
9.7.2. Metadata - consultations

See item 9.7.2.1.
9.7.2.1. Available metadata for each process

Available metadata for the process reported in item 3.1.1.

National methodology report - national standard Electronic information
National methodology report - EU standard Electronic information
Reference metadata (Recommendation 2009/498/EC) Not available
Definitions Electronic information
Classifications Electronic information
Quality report Not available






 



Annexes:
BG_Livestock-Questionnaire-2019
Metadata_LS2019
9.7.2.1.1. National methodology report - national standard
Electronic information
9.7.2.1.2. National methodology report - EU standard
Electronic information
9.7.2.1.3. Reference metadata (Recommendation 2009/498/EC):
Not available
9.7.2.1.4. Definitions:
Electronic information
9.7.2.1.5. Classifications:
Electronic information
9.7.2.1.6. Quality report:
Not available


10. Cost and Burden Top

Information requested in the metadata file on general questions.


11. Confidentiality Top
11.1. Confidentiality - policy

See item 11.1.1.
11.1.1. Confidentiality policy for each process
Rarely
11.2. Confidentiality - data treatment

See item 11.2.1.
11.2.1. Criteria for treatment of confidentiality for each process

Criteria for treatment of confidentiality for the process reported in item 3.1.1. (the following answers will be treated as confidential)

Results are published subject to the following rules:
Minimum number of statistical units 3
Maximum weight of the only dominant record11 (%) 85
Maximum weight of the two dominant records11(%)
11 Dominance thresholds: please fill in only the relevant percentage. The non-relevant cells should be left empty.






 
11.2.1.1. Minimum number of statistical units
3
11.2.1.2. Maximum weight of the only dominant record
85
11.2.1.3. Maximum weight of the two dominant records
11.2.2. Indirect Identification
Results are systematically hidden
11.2.3. Indirect Identification comments


12. Comment Top


Related metadata Top


Annexes Top
BG-QuestionaireLivestock_2022
BG-Metadata_Livestock_2022