SP8: GIP Cattle (Biannual), Pigs (Annual) and Sheep (Annual) (IE)

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

Compiling agency: Central Statistics 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

Central Statistics Office
1.2. Contact organisation unit

Agricultural Accounts and Production Section
1.5. Contact mail address

Central Statistics Office, Skehard Road, Cork, Ireland T12 X00E


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 year 2010 on the statistical processes used to meet the Regulation (EC) No 1165/2008.
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

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

Identification of the process used to meet regulation EC N°1165/2008

Label SPx (x=1,2,3,4,5,6,7)

Short description of process identified

 

 SP8

  GIP Cattle (Biannual), Pigs (Annual) and Sheep (Annual)
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): 

Cattle: Data on Cattle stocks, live imports and exports are based on administrative data received from our Ministry of Agriculture (DAFM). (See quality report ANI_MTN2EQ_3_IE_2019_0000) for further details on cattle stocks data).

Pigs: June and December pig stock data are based on a census of all large pig producers in Ireland that is conducted by the CSO. Data on live imports and exports of pigs are based on administrative data received from DAFM. (See quality report ANI_MTN1EQ_3_IE_2019_0000) for further details on pig stocks data). 

Sheep: Estimates of June sheep stock are based on the CSO's sample survey. Data on December sheep stocks and all live imports and exports are based on administrative data received from DAFM. (See quality reports ANI_MTN3EQ_3_IE_2019_0000 and ANI_MTN3EQ_3_IE_2019_0000 for further details on sheep stocks data).

The assumption behind GIP estimates is that there is a relationship between the number of cattle, sheep and pigs in stock at the end of a given period and the number of animals slaughtered in the following period.  For cattle GIP, this relationship is analysed by age group, gender and dairy/beef classification. All known international trade, stocks and slaughterings of cattle, sheep and pigs are used in the calculation of our GIP estimates. (For details on the source/quality etc of slaughtering data, see quality report ANI_MTN5EQ_3_IE_2019_0000). As GIP estimates are submitted biannually for cattle and annually for sheep and pigs, cattle GIP revisions are done 0.5 years after the submission of the original estimates while those for sheep and pig data are submitted 1 year after the original estimates. The main source of cattle stocks and slaughtering data used to estimate cattle GIP is the Ministry of Agriculture's (DAFM's) AIM system, a database of all bovines in Ireland and DAFM's Bovine Statistics Report which provides the base data, including data on stocks, international trade, slaughtering and on farm deaths, used to calculate bovine slaughtering ratios and estimates of future stocks. 
Institution in charge of data collection MoA = Ministry of Agriculture
First year of data availability by (current) source

2002
Type of source Administrative source
If Administrative source, please specify

Data held by the Department of Agriculture, Food and Marine (DAFM) on the stock of bovines by age group and classification (i.e. dairy/beef).
If Other source, please specify
Does this main source cover All the units (census)
If the main source is a source other than a statistical survey, please attach a short description of the source

Data on the stock of bovines comes from DAFM's 'Animal Identification and Movement' (AIM) system. This is a database which records all bovine births, movements and disposals. The system captures details of all animal movements and this information is used to verify the origin, identity and life history of cattle entering the food chain. It is also used to check compliance of cattle with the eligibility criteria for the Single Payment Scheme. The AIM system can also be used to assist in the identification and tracing of bovines that may have come into contact with infectious diseases and for veterinary certification.
B. Additional source of information
Additional source of information Other administrative source
Institution in charge of data collection MoA = Ministry of Agriculture
First year of data availability by source

Livestock Slaughtering data is available from 1974.
C. Additional comments
Livestock

The June Sheep stocks come from the CSO's June stock survey (See quality report ANI_MTN3EQ_3_2019_000 for further details). December Sheep stocks come from DAFM's census of sheep farmers (See quality report ANI_MTN3EQ_3_2019_000 for further details). June and December Pig stocks comes from the CSO's survey of Pig producers (See quality report ANI_MTN1EQ_3_2019_000 for further details). 

Data on the import and export of cattle, sheep and pigs comes from administrative data held by DAFM. 
Slaughtering

See quality report ANI_MTN5EQ_3_2019_000 for further details on the sources/quality etc of our livestock slaughtering data.
3.2. Frequency of data collection

Slaughtering data for cattle, sheep and pigs are collected either monthly or weekly (See quality report ANI_MTN5EQ_3_2019_000 for further details).

Cattle stocks are received from DAFM four times a year. See quality report ANI_MTN2EQ_3_2019_000 for further details)

Data on the stock of pigs are collected twice yearly, in June and December (See quality report ANI_MTN1EQ_3_2019_000 for further details)

Data on the stock of sheep are collected twice yearly, in June and December (See quality reports ANI_MTN3EQ_3_2019_000 and ANI_MTN4EQ_3_2019_000 for further details)

Data on the import and export of cattle, sheep and pigs is received from DAFM quarterly.
3.3. Data collection

See the individual quality reports for further information on the collection of livestock and slaughtering data. The collection of data on the import and export of livestock is a sent to us electronically from DAFM from an output generated from the TRACES database, the EU's integrated veterinary traceability system.
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

GIP estimates are generated to meet the needs of both national users and the EU. The main national users are DAFM, Teagasc, Bord Bia, various farmer representative bodies and academic researchers. International users include EU and FAO.
5.2. Relevance - User Satisfaction

While no formal user satisfaction survey has been conducted, we are in regular contact with our main national users. We also hold an annual meeting with all our main national users and, based on their feedback, they appear to be satisfied that we are meeting their data requirements. 
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

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

The following estimates of the divergence between actual and estimated supply of cattle, sheep and pigs is based on the estimates produced and submitted to Eurostat each February.

Cattle - The percentage difference between the actual supply of cattle and the estimated supply for the years 2016 to 2019 inclusive were as follows:

2016: -0.4%

2017: +2.5%

2018: +3.2%

2019: +2.2%

 

Sheep - The percentage difference between the actual supply of sheep and the estimated supply for the years 2016 to 2019 inclusive were as follows:

2016: -2.0%

2017: +5.9%

2018: -2.2%

2019: -4.3%

 

Pigs - The percentage difference between the actual supply of pigs and the estimated supply for the years 2016 to 2019 inclusive were as follows:

2016: -2.9%

2017: -1.5%

2018: +1.4%

2019: -2.5%

 
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


Are some strata surveyed exhaustively? (Exhaustive strata)

% of units in exhaustive strata
% of animals/meat produced
Allocation method
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 2019.
6.3.1.3. Coverage error for each process

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

Questionnaire:

Geographical coverage
All separate territories and only them 1
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’).
Further comments

See the individual quality reports referenced above for information on any coverage errors for stocks of cattle, sheep and pigs and for livestock slaughterings data. As imports and exports come from the TRACES system, no coverage errors should apply to that administrative source.

1 Some countries may cover or exclude some specific territories, either remote or kept out of some studies because of their status, for instance French overseas "departments", neighbour micro-states, Mount Athos, etc.
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.
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)
Interviewers having already performed the same survey: is there a stable group of interviewers?
Handbook for surveyors/explanatory notes: Year
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
Questionnaire based on usual concepts for respondents
Cross-check of results
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 % 
Whatever this rate is, do you need to improve it?
Treatment of non-response:
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 % 
Whatever this rate is, do you need to improve it?
Treatment of non-response:
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?
 Risk of bias due to non-response
 Further explanations/comments

See individual quality reports for details on non response for stocks of cattle, sheep and pigs and for livestock slaughterings.
6.3.3.4. Imputation procedure

Imputation procedure for the process reported in item 3.1.

Imputation, based on
Other
Imputation is not used
A6. Imputation rate (%)   
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 2019
6.3.4.2. Internal processing error
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)
6.3.4.4. 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

2
Cross-validation against Other source
Sample Survey for control
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

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

1
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 

Over the 3 year period, 2017 to 2019 inclusive, the average annual revision for GIP was as follows, based on the percentage difference between forecasted GIP and actual GIP:

Cattle: -2.6%

Sheep: -0.3%

Pigs:    +0.9%
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

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)
No preliminary results published Restricted from publication
7.1.2. Time lag - final result

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

As GIP estimates are forcasts, the issue of time lags between the end of the reference period and publication is non relevant for this process.
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: Not relevant (not disseminated)
The national legislation sets an earlier deadline than the EU legislation


8. Coherence and comparability Top
8.1. Comparability - geographical

We are not aware of any issues with geographical comparability.
8.1.1. Asymmetry for mirror flow statistics - coefficient

Not requested for reference year 2019.
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. 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 statistical units
reference period
classification
coverage
geographical coverage
Foreign trade reference period
Prices coverage of agricultural products
Further explanations
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

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


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

Not requested for reference year 2019.
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:
Press release
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 Restricted from publication
Website giving access to the data

GIP forecasts are currently not published nationally. Therefore, results are only available on the Eurostat website as follows.

Pig forecasts are available at https://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=apro_mt_ppighq&lang=en

Cattle forecasts are available at https://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=apro_mt_pcatlhs&lang=en
9.4. Dissemination format - microdata access

See item 9.4.1.
9.4.1. Access to confidential data by process
Restricted from publication
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: 
9.6. Documentation on methodology
Restricted from publication
9.7. Quality management - documentation

See item 9.7.2.
9.7.1. Metadata completeness - rate

Not requested for reference year 2019.
9.7.2. Metadata - consultations

See item 9.7.2.1.
9.7.2.1. Available metadata for each process
Restricted from publication


10. Cost and Burden Top

See individual quality reports (ANI_MTN1EQ_3_IE_2019_0000, ANI_MTN2EQ_3_IE_2019_0000, ANI_MTN3EQ_3_IE_2019_0000, 

ANI_MTN4EQ_3_IE_2019_0000, ANI_MTN5EQ_3_IE_2019_0000,) for information on the cost and burden of collecting stock and slaughtering data.  


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
Maximum weight of the only dominant record11 (%)
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.
11.2.2. Indirect Identification
11.2.3. Indirect Identification comments

As GIP estimates are calculated based on a model using aggregated stocks, trade and livestock slaughtering data, the issue of data confidentiality does not apply to these estimates.


12. Comment Top

GIP estimates are modelled using the stocks, international trade and slaughtering of cattle, sheep and pigs for the lastest year for which finalised data is available. GIP is not published nationally. Details on the sample design, coverage errors, survey questionnaires, non response treatment and imputation can be found in the quality reports for the individual processes.


Related metadata Top


Annexes Top