Reference metadata describe statistical concepts and methodologies used for the collection and generation of data. They provide information on data quality and, since they are strongly content-oriented, assist users in interpreting the data. Reference metadata, unlike structural metadata, can be decoupled from the data.
Poland collects statistical data on production of eggs for human consumption and for hatching.
These data are collected once a year (1-st December) as a part of livestock and animal production survey covering survey on poultry by species and by breading trends.
Survey is carried out on agricultural farms of legal persons (survey covering all population) and on the sample of individual farms (sample survey).
3.1.1. The main data source of the information
Eggs producers
3.2. Classification system
NACE rev.2 Statistical Classification of Economic Activities in the European Community,
CPA- Statistical Classification of Products by Activity in the European Communities,
PKWiU - Polska Klasyfikacja Wyrobów i Usług,
CN - Combined Nomenclature,
NUTS classification
3.3. Coverage - sector
NACE rev2 code NACE 01.47,
CPA/PKWiU code 1.47.21,
CN code 0147 21 00
3.4. Statistical concepts and definitions
Statistical concepts and definitions are in line with the EU methodology.
3.4.1. Definition of eggs for consumption under EU methodology
Yes
3.4.2. If not, specify the definition used.
not relevant
3.4.3. Definition of egg producer under EU methodology
Yes
3.4.4. If not, specify the definition used
Not relevant
3.4.5. Definition of laying hens under EU methodology
Yes
3.4.6. If not, please describe the differences
Not relevant
3.4.7. Definition of ungraded eggs under EU methodology
Not relevant
3.4.8. If not, specify the definition used
Not relevant
3.4.9. Ungraded Eggs provided separately
Not relevant
3.4.10. Additional comments on statistical concepts and definitions
Not relevant
3.5. Statistical unit
Provider of information is an agricultural holding with laying hens and producing eggs for consumption during the reference period.This applies to both agricultural farms of legal and individual person.
3.6. Statistical population
Statistical population is all agricultural units having laying hens.
3.6.1. Physical, economical or other threshold(s) applied to the data collection
100 heads of poultry in total
3.6.1.1. COVERAGE
Surveys are carried on the population above the threshold of 100 heads of poultry in total. In this way, the threshold 350 and more laying hens is covered. In 2023 farms with at least 350 and more laying hens had 89% of a total laying hens population.
3.7. Reference area
NUTS0: Poland
NUTS1 makroregions (7)
MAKROREGION POŁUDNIOWY
MAKROREGION PÓŁNOCNO-ZACHODNI
MAKROREGION POŁUDNIOWO-ZACHODNI
MAKROREGION PÓŁNOCNY
MAKROREGION CENTRALNY
MAKROREGION WSCHODNI
MAKROREGION WOJEWÓDZTWO MAZOWIECKIE
NUTS2 regions (16)
Dolnośląskie
Kujawsko-pomorskie
Lubelskie
Lubuskie
Łódzkie
Małopolskie
Mazowiecki regionalny
Opolskie
Podkarpackie
Podlaskie
Pomorskie
Śląskie
Świętokrzyskie
Warmińsko-mazurskie
Warszawski stołeczny
Wielkopolskie
Zachodniopomorskie
3.8. Coverage - Time
2015-2023
3.8.1. The first survey/data collection
2015
3.9. Base period
2023
3.10. Other comments
None
4.1. Unit of measure in million
Yes
4.2. Other unit of measures used
Not relevant
5.1. Reference period in calendar year based
Yes
5.2. Reference date for number of laying hens
The number of laying hens on 31 December is estimated based on a number of hens on 1 December. The data is collected in survey as of 1-st December.
5.3. Additional comments on the reference period/date used
Data are collected once a year (1-st December) as a part of livestock and animal production survey. The sample surveys collect data on:
Number of laying hens kept for production of eggs for consumption as of 1-st December;
Number of laying hens kept for production of eggs for hatching as of 1-st December;
Number of chicken eggs in total (for consumption and for hatching) obtained during three days just before survey in December;
Number of chicken eggs for consumption obtained during three days just before survey in December.
In agricultural farms of legal person and in individual farms with at least 350 hens and more the data is collected for whole production of eggs for consumption during the year.
6.1. Institutional Mandate - legal acts and other agreements
The ESS Agreement on statistics on eggs for consumption,
The Polish law: The programme of statistical surveys of official statistics in 2023.
6.2. Institutional Mandate - data sharing
Not applicable (for the 2023 metadata collection)
7.1. Confidentiality - policy
Not applicable (for the 2023 metadata collection)
7.2. Confidentiality - data treatment
Not applicable (for the 2023 metadata collection)
8.1. Release calendar
Not applicable (for the 2023 metadata collection)
8.2. Release calendar access
Not applicable (for the 2023 metadata collection)
8.3. Release policy - user access
Not applicable (for the 2023 metadata collection)
Not applicable (for the 2023 metadata collection)
10.1. Dissemination format - News release
Not applicable (for the 2023 metadata collection)
10.2. Dissemination format - Publications
Online, annual publication "Fizyczne rozmiary produkcji zwierzęcej" publishes data on the yearly production of eggs for consumption.
National users: scientific institutions, the Ministry of Agriculture, poultry and egg producer organizations'
12.1.1. Data collected for national purposes
Production of eggs for consumption:
National users: scientific institutions, the Ministry of Agriculture, poultry and egg producer organizations
12.2. Relevance - User Satisfaction
Not applicable (for the 2023 metadata collection)
12.3. Completeness
All information requested in the ESS Agreement are collected and delivered to Eurostat.
13.1. Accuracy - overall
The main source of errors was the frame (the lack of updated data for all agricultural holdings), non-response errors, and sampling errors (which can be analysed on the basis of relative standard errors).
Non-response errors were minimised by correction of design weights (re-weighting).
Other common source of errors (respondents and interviewers) were minimised by appropriate methodological and organizational activities.
Sampling errors were estimated for main survey variables using classical formulas for stratified random sampling, with design weights corrected by algorithm taking into account: non-response and outliers detection.
13.2. Sampling error
Not applicable (for the 2023 metadata collection)
13.3. Non-sampling error
Not applicable (for the 2023 metadata collection)
14.1. Timeliness
Not applicable (for the 2023 metadata collection)
14.2. Punctuality
Not applicable (for the 2023 metadata collection)
15.1. Comparability - geographical
No problem of comparability between regions.
15.2. Comparability - over time
Comparable time series 2015-2023,
No reference periods at which series breaks occur.
15.3. Coherence - cross domain
Statistics on the population of laying hens for the production of eggs for consumption are coherent with the data from the FSS.
15.4. Coherence - internal
Not applicable (for the 2023 metadata collection)
Not applicable (for the 2023 metadata collection)
17.1. Data revision - policy
Not applicable (for the 2023 metadata collection)
17.2. Data revision - practice
Not applicable (for the 2023 metadata collection)
18.1. Source data
Statistical survey organised once a year (1-st December) as a part of livestock and animal production survey covering survey on poultry by species and by breading trends.
Surveys are carried out on agricultural farms of legal persons (survey covering all population) and on the sample of individual farms (sample survey).
18.1.1. Description of data collection process
Statistical data on production of chicken eggs in total obtained during a whole reference year are collected for whole population of agricultural farms of legal persons.
Allocation/redistribution of total production of chicken eggs for estimating production of chicken eggs for consumption and for hatching are conducted by using data on production of laying hens population kept for production of eggs for consumption and for hatching.
18.1.2. Model used as a breakdown based on individual information
Not relevant
18.1.3. Method used for the model
Not relevant
18.2. Frequency of data collection
annually
18.3. Data collection
Not applicable (for the 2023 metadata collection)
18.4. Data validation
Not applicable (for the 2023 metadata collection)
18.5. Data compilation
18.5.1. Data compilation process - data weighting
Production of eggs for consumption per laying hen obtained dur the year is calculated on the base of survey results. Next, the annual production of eggs for consumption per laying hens is calculated and then, the whole production of eggs for consumption obtained from all laying hens (on the base of the average annual number of eggs) during whole reference year is calculated.
Average annual eggs production per 1 hen is calculated on the base on the formula: annual eggs production from all hens divided the average annual number of hens. The number of laying hens on 31 Decebber is estimated based on a number of hens on 1 December. The data is collected in survey as of 1-st December. All estimations are made according to the recommendations of Euostat, taking into account the data on hatching.
18.5.2. Data compilation process
Not relevant
18.6. Adjustment
Not relevant
Poland collects statistical data on production of eggs for human consumption and for hatching.
These data are collected once a year (1-st December) as a part of livestock and animal production survey covering survey on poultry by species and by breading trends.
The data is collected using electronic questionnaires. Three different methods of data collection are used: CAII,CATI and CAPI.
There are three levels of validation: (1)Validation during data collection, when electronic questionnaires is filled (logical error, range errors). (2) Completed questionnaires are submitted to the special application where the individual data are checked again (logical and accounting checking). There is the opportunity to obtain a report of errors and errors can be corrected. (3) The corrected file is forwarded to the appropriate database, where validation exercises could be conducted on an aggregate set of data (coherence, balance and any other analysis).
The process of data collection is supported by the management application. It is possible to check if the particular questionnaire is filled completely and we can check indicate an error if there is need we can contact with respondent. Daily reports of survey are also prepared in this system and the entire process of data collection is monitored.
The electronic questionnaire also provides explanations to the questions, error handling at different levels, validations, the dictionary of the territorial division of the country, the definitions of the variables.
Trainings: The training is organized at two-stages. Once a year Statistical office organizes trainings of all hotline agents (permanent staff of statistical office). Next they conduct training for interviewers in Regional Statistical Offices.
Poland collects statistical data on production of eggs for human consumption and for hatching.
These data are collected once a year (1-st December) as a part of livestock and animal production survey covering survey on poultry by species and by breading trends.
Survey is carried out on agricultural farms of legal persons (survey covering all population) and on the sample of individual farms (sample survey).
17 June 2024
Statistical concepts and definitions are in line with the EU methodology.
Provider of information is an agricultural holding with laying hens and producing eggs for consumption during the reference period.This applies to both agricultural farms of legal and individual person.
Statistical population is all agricultural units having laying hens.
NUTS0: Poland
NUTS1 makroregions (7)
MAKROREGION POŁUDNIOWY
MAKROREGION PÓŁNOCNO-ZACHODNI
MAKROREGION POŁUDNIOWO-ZACHODNI
MAKROREGION PÓŁNOCNY
MAKROREGION CENTRALNY
MAKROREGION WSCHODNI
MAKROREGION WOJEWÓDZTWO MAZOWIECKIE
NUTS2 regions (16)
Dolnośląskie
Kujawsko-pomorskie
Lubelskie
Lubuskie
Łódzkie
Małopolskie
Mazowiecki regionalny
Opolskie
Podkarpackie
Podlaskie
Pomorskie
Śląskie
Świętokrzyskie
Warmińsko-mazurskie
Warszawski stołeczny
Wielkopolskie
Zachodniopomorskie
The main source of errors was the frame (the lack of updated data for all agricultural holdings), non-response errors, and sampling errors (which can be analysed on the basis of relative standard errors).
Non-response errors were minimised by correction of design weights (re-weighting).
Other common source of errors (respondents and interviewers) were minimised by appropriate methodological and organizational activities.
Sampling errors were estimated for main survey variables using classical formulas for stratified random sampling, with design weights corrected by algorithm taking into account: non-response and outliers detection.
Statistical survey organised once a year (1-st December) as a part of livestock and animal production survey covering survey on poultry by species and by breading trends.
Surveys are carried out on agricultural farms of legal persons (survey covering all population) and on the sample of individual farms (sample survey).
Not applicable (for the 2023 metadata collection)
Not applicable (for the 2023 metadata collection)
No problem of comparability between regions.
Comparable time series 2015-2023,
No reference periods at which series breaks occur.
