Bovine register (CY)

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

Compiling agency: Statistical Service of Cyprus (CYSTAT)


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

Statistical Service of Cyprus (CYSTAT)
1.2. Contact organisation unit

Agricultural Statistics Section
1.5. Contact mail address

Michael Karaoli str., 1444 Nicosia, Cyprus


2. Statistical presentation Top
2.1. Data description

The livestock statistics are collected in accordance with the Regulation (EC) No 1165/2008.

Due to the small population nulmbers in Cyprus, GIP (gross indigenous production) forecast data is sent for bovines once a year.

Livestock statistics is also sent once a year for bovines for November/December survey with reference date 31/12. 

Cyprus is one region therefore NUTS 1 is applied.
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

Republic of Cyprus
2.8. Coverage - Time

Not requested for reference year 2019.
2.9. Base period

Not applicable.


3. Statistical processing Top
3.1. Source data

Ministry of Agrculture, Rural Development and Environment.
3.1.1. Labelling of the statistical processes

Bovine register

 

 

 

 
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 2004
Type of source Administrative source
If Administrative source, please specify

Ministry of Agriculture Rural Development and Envoronment.
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

Livestock:The department of Agriculture of the ministry of Agriculture collect data on the number of animals for each category of animal on an annual basis by visiting all the animal breeders counting all the animals on the farm in accordance with EU requirements.

 

Slaughtering:The department of the Veterinary services of the ministry of Agriculture is responsible for issuing licences for any new slaughthering houses and its register is updated constantly. Furthermore they collect data on the slaughterings from all slaughtering houses of Cyprus for each category of animal, in accordance with EU requirements, which is then forwarded to us.
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

Data on the number of animals is collected once a year in November/December.

GIP forecasts for bovine animals are collected from the beginning of the first semester of the current year until the end of the second semester of the following year.

 

 
3.3. Data collection

Livestock Statistics: The data is collected, in accordance with the regulation-Annex II, by enumerators of the Ministry of Agriculture, Rural Development and Enviroment, visiting all bovine breeders. The reference date is 31st of December.

GIP forecasts: The extrapolation method is used for the forecasts. A model based on the production data of previous years is the tool for forecasting the data of the reference year.

 

 

 
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 design of the tables covers to a major extent user needs.

5.2. Relevance - User Satisfaction

No user satisfaction survey has been carried out but to our knowledge the rate of satisfaction among users is quite high, both for the private and government sectors.

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 primary objective is the accurate and reliable data. For this purpose, a number of checks are performed. Results are evaluated after the data receival and if needed, contacts with the relevant Authorities are performed for further  investigations.
6.2. Sampling error

Data are not subject to sampling errors since they are based on  census. 

6.2.1. Sampling error - indicators

Non applicable. 
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

Non-sampling error is not quantified, but is considered to be small. Continuous methodological improvements and survey process improvements are performed.

  • The personnel working at the collection stage is well experienced.  
  • To ensure the quality of the time series, comparative analyses are made with the previous years’s results. If inconsistencies are detected, the data are verified.

 
6.3.1. Coverage error

Full coverage is achieved.

6.3.1.1. Over-coverage - rate

The Vetrinary Services provide the licences for the establishments enganged in slaugtering, so over coverage is not possible. 

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’).

No overcoverage is recorded.

 
Further comments

"Non-agricultural units are excluded (e.g. slaughterhouses or animal traders) is ticked for livestock data.

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)

Administrative sources are used.
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

Not applicable.
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

Not applicable as response rate reach 100%.

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 % 

Not applicable.
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? No
 Risk of bias due to non-response Insignificant
 Further explanations/comments

All of the above prefilled areas are not applicable since administrative sources are used.
6.3.3.4. Imputation procedure

Imputation procedure for the process reported in item 3.1.

Imputation, based on previous data for the same unit
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 3
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 
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

Data are sent to Eurostat within the deadlines provided by the Regulation.
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)

Data of slaughtering are transmitted usually 45 days after the reference month, of GIP forecast 30 days after the reference month and of livestock 20 days after the reference month .
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

Slaughterings: 45 days after the refrence month.

GIP forecast: 30 days after the refrence month.

Livestock: 20 days after the refrence month.
7.2. Punctuality

Data are sent to Eurostat within the legal deadlines.
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

Since Cyprus is a NUTS1 region, comparability is possible only with other European countries.

8.1.1. Asymmetry for mirror flow statistics - coefficient

Not requested for reference year 2019.
8.2. Comparability - over time

Data are comparable for the years 2004 onwards (due to change of definition for agricultural holdings).

8.2.1. Length of comparable time series

Not requested for reference year 2019. 
8.2.2. Reasons for non-comparability
statistical units
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 statistical units
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: Agricultural statistics
Press release
Specific analyses/specialised papers


Annexes:
Number of animals
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


Annexes:
Cystat 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
9.5. 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

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


10. Cost and Burden Top

No cost and burden exercise was conducted for livestock and meat statistics.


11. Confidentiality Top
11.1. Confidentiality - policy

Under the provisions of the Statistics Law, all the information collected is treated as confidential and is used solely for statistical purposes. No data for any individual enterprise is published or disclosed to either public bodies or private individuals.



Annexes:
Cystat legislation
11.1.1. Confidentiality policy for each process
Never
11.2. Confidentiality - data treatment

No data for any individual respondent is published or disclosed to either public bodies or private individuals.
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
Results are systematically hidden
11.2.3. Indirect Identification comments


12. Comment Top


Related metadata Top


Annexes Top