SP2: Total survey on number of livestock and animal products on agricultural companies and enterprises (LT)

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

Compiling agency: SL (Statistics Lithuania)


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

SL (Statistics Lithuania)
1.2. Contact organisation unit

Agricultural and Environmental Statistics Division
1.5. Contact mail address

29 Gedimino ave. LT-01500 Vilnius


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

SP2: Total survey on number of livestock and animal products on agricultural companies and enterprises
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 NSI = National Statistical Institute
First year of data availability by (current) source

2004
Type of source Ad hoc survey-Post-electronic questionnaire
If Administrative source, please specify
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
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
Slaughtering
3.2. Frequency of data collection

Annually 31/12
3.3. Data collection

surveys are carried out (quarterly statistical questionnaire ŽŪ-24 and annual statistical questionnaires ŽŪM-24, ŽŪP-24, and ŽŪ-26, filled in by responsible persons and submitted through an electronic statistical data preparation and transfer system http://estatistika.stat.gov.lt/ (only in Lithuanian).All data are forwarded directly to the primary statistical database.
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

The main users of statistical information are State and municipal authorities and agencies, international organisations, the media, research and business communities, students, whose needs are satisfied without a breach of the confidentiality principle.
5.2. Relevance - User Satisfaction

None
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

In calculating the indicator estimates, statistical data are analysed by assessing outliers; data are edited. 
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’).

0
Further comments

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)

6
Interviewers having already performed the same survey: is there a stable group of interviewers? Don't know or NR (No response)
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)

4
Average/normal number of days’ training for new interviewers

5
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 % 

100
Whatever this rate is, do you need to improve it?

No
Treatment of non-response: Other
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? Yes, for this survey
 Risk of bias due to non-response Unknown
 Further explanations/comments Unknown
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
Cross-validation against Previous survey
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

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
6.6. 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)

45
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

The number of livestock provided before 15 May of the following year for the December survey
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

Statistical information is comparable across the EU
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
coverage
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) reference period
Farm structure survey reference period
Administrative source reference period
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 All
Website giving access to the data

https://osp.stat.gov.lt/
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

The data compilation process is described in the number of livestock and animal production statistical survey methodology https://osp.stat.gov.lt/documents/10180/5118910/Gyvulininkyst%C4%97+%5BEN%5D+668.html (only in Lithuanian).
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) Electronic information
Definitions Electronic information
Classifications Electronic information
Quality report Electronic information


10. Cost and Burden Top

In 2019, the average time spent by a respondent on the filling in of the annual statistical questionnaire on the number of livestock and animal production in agricultural companies and enterprises ŽŪM-24 – 2 hr. 10 min., annual statistical questionnaire on the number of livestock and animal production in agricultural companies and enterprises (shortened) ŽŪP-24 – 38 min., quarterly statistical questionnaire on the number of livestock and animal production in agricultural companies and enterprises ŽŪ-24 –37 min., statistical questionnaire on the number of fur beasts ŽŪ-26 – 17 min.


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

Statistical information is confidential if it is compiled from statistical data from less than three respondents
Maximum weight of the only dominant record11 (%)

Statistical information is confidential if the statistical data of one respondent consist more than 70 per cent of the total volume of the statistical indicator
Maximum weight of the two dominant records11(%)

Statistical information is confidential if the aggregated statistical data of two respondents consist more than 85 per cent of the prepared statistical indicator
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


12. Comment Top


Related metadata Top


Annexes Top