SP4: Pig November/December survey (ES)

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

Compiling agency: Information requested in the metadata file on general questions. 


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)
 



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1. Contact Top
1.1. Contact organisation

Information requested in the metadata file on general questions. 
1.2. Contact organisation unit

Information requested in the metadata file on general questions. 
1.5. Contact mail address

Information requested in the metadata file on general questions. 


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

SP4 : Livestock survey NovDec pigs
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):  1
Institution in charge of data collection MoA = Ministry of Agriculture
First year of data availability by (current) source 1995
Type of source Ad hoc survey-Interview
Ad hoc survey-Phone
If Administrative source, please specify
If Other source, please specify
Does this main source cover
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
Institution in charge of data collection
First year of data availability by source
C. Additional comments
Livestock
In order to guarantee the traceability of live cattle, it is necessary touse specific tools. The SITRAN (Sistema Integral de TRazabilidadANimal) consists of a heterogeneous and distributed database thatconnects the existing registries in the different autonomouscommunities with a centralized registry, through specificallydeveloped information exchange mechanisms.
 
SITRAN is made up of three main modules, which are interrelatedwith each other:
 
REGA (General Registry of Livestock Farms), which includesthe basic data of more than 900,000 farms located in Spain, relatingto more than one hundred and fifty different species of productionanimals. The Real Decreto 479/2004, of March 26, establishes andregulates the Registry.
 
REMO (Record of movements of species of livestock interest),which collects information on the movements of different species(in the case of cattle, sheep, goats and horses, individually; in therest of species, by batches ).
 
RIIA (Register of individual identification of animals), inoperation for bovine, ovine, caprine and equine species.
 
The Real Decreto 728/2007, of June 13, establishes and regulatesboth REMO and RIIA.
 
 
SITRAN relies entirely on the data provided by the applications of theAutonomous Communities and Cities, which in turn come from thedata provided by the farmers themselves (when managingregistrations, cancellations, issuance of identification documents,census statements, etc.) or obtained through the exercise of its powers(inspections, controls, issuance of movement documents, etc.).
 
REGA (General Registry of Livestock Farms) is used for annual update of the survey frame for pig livestock statistics.
 
The statistic on pig livestock is the result of the collaboration of different administrations. The sample design is provided by the Ministry of Agriculture, Fishing and Food, while the field work for the survey is carried on by the units in charge of agricultural statistics in the Autonomous Comunities.
 
 
Slaughtering
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 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

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 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

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

38 strata

2 main groups of farms (focus on iberian/non-iberian pigs) x 2 divisions on each group (production/breeding) x 10 size classes for production / 9 size classes for breeding = 2 x 10 + 2 x 9 =38 strata


Are some strata surveyed exhaustively? (Exhaustive strata)

% of units in exhaustive strata

2.05
% of animals/meat produced

14.20
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 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’).

0.09 %
Further comments

The frame for the survey on pig livestock for November 2019 is obtained on the basis of the REGA register (General Registry of Livestock Farms), which includes the basic data of more than 900,000 farms located in Spain, relating to more than one hundred and fifty different species of production animals.

The registration is mandatory for livestock farms with meat production and/or breeding activity. The registration is voluntary for other type of livestock farms as commercial operators or leisure/education farms. 

 

The REGA is processed to (1) identify the livestock farms declaring having pig livestock and (2) identify the units not having a meat production and/or breeding activity, in order not to be considered in the statistical frame for the pig livestock of the survey.

 

The sample units that declared that never had pig livestock for meat production and/or breeding activity were 5 out of a sample of 5299 units, for the survey on pig livestock reference Novembre 2019 (0.09% of the sample not being part of the scope of the survey).

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)

65
Interviewers having already performed the same survey: is there a stable group of interviewers? As far as possible
Handbook for surveyors/explanatory notes: Year 2010
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 % 

98.1
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 %  100
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? Yes, for this survey
 Risk of bias due to non-response Insignificant
 Further explanations/comments
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
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)
6.3.4.4. 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

At least 2.

Field work relies on Autonomous Communities, while compilation and analysis of results for the whole territory of Spain relies on the unit in charge of livestock statistics in MAPA. Different Autonomous Communities may stablish different control sets, but results are analysed for each transmission to Eurostat at least twice (one by the Autonomous Community and one by the MAPA). This analyse consist in consistency checks, identification of outliers, and coherence with time series, regional comparison, and cross-check with administrative data.
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
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 
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)

92
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

180
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: At about the same time
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 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)
Farm structure survey
Administrative source
Foreign trade
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: Animal statistics
Agricultural statistics
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 All
Website giving access to the data

https://www.mapa.gob.es/es/estadistica/temas/
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
9.5. 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
A methodological description of the livestock statistics is published in the Statistic section of the MAPA website. This description includes mention to legal mandates, scopes, variables anddefinitions, statistical process and dissemination calendar.
 
https://www.mapa.gob.es/es/estadistica/temas/


Annexes:
Methodology description for livestock statistics published on the MAPA website
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

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)
Definitions Electronic information
Classifications Electronic information
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
Never
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 (%)
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
Results are systematically hidden
11.2.3. Indirect Identification comments

Indirect identification issues may arise usually for categories of rare livestock in regional statistics, due to the few number of farms that may grow this kind of livestock. Statistics on pig livestock are not affected by indirect identification issues at the moment.


12. Comment Top


Related metadata Top


Annexes Top