|
For any question on data and metadata, please contact: Eurostat user support |
|
|||
1.1. Contact organisation | Statistics Poland |
||
1.2. Contact organisation unit | Agriculture Division |
||
1.5. Contact mail address | Al. Niepodległości 208, 00-925 Warszawa |
|
|||
2.1. Metadata last certified | 21/06/2019 | ||
2.2. Metadata last posted | 21/06/2019 | ||
2.3. Metadata last update | 21/06/2019 |
|
|||
3.1. Data description | |||
Poland collects statistical data on production of eggs for human consumption and for hatching. These data are collected two times a year (1-st June and 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). |
|||
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 2018 farms with at least 350 and more laying hens had 85,8% 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 | |||
2015-2018 |
|||
3.8.1. The first survey/data collection | |||
2015 |
|||
3.9. Base period | |||
2018 |
|||
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 two times a year (1-st June and 1-st December) as a part of livestock and animal production survey. • number of chicken eggs in total (for consumption and for hatching) obtained during three days just before survey in June (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 half of 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 2018. |
|||
6.2. Institutional Mandate - data sharing | |||
Not applicable (for the 2018 metadata collection) |
|
|||
7.1. Confidentiality - policy | |||
Not applicable (for the 2018 metadata collection) |
|||
7.2. Confidentiality - data treatment | |||
Not applicable (for the 2018 metadata collection) |
|
|||
8.1. Release calendar | |||
Not applicable (for the 2018 metadata collection) |
|||
8.2. Release calendar access | |||
Not applicable (for the 2018 metadata collection) |
|||
8.3. Release policy - user access | |||
Not applicable (for the 2018 metadata collection) |
|
|||
Not applicable (for the 2018 metadata collection) |
|
|||
10.1. Dissemination format - News release | |||
Not applicable (for the 2018 metadata collection) |
|||
10.2. Dissemination format - Publications | |||
Online, annual publication "Fizyczne rozmiary produkcji zwierzęcej" publishes data on the yearly production of eggs for consumption.
|
|||
10.3. Dissemination format - online database | |||
The data on eggs in total (for hatching and for consumption) is available in online database "Bank danych lokalnych" https://bdl.stat.gov.pl/BDL/start |
|||
10.4. Dissemination format - microdata access | |||
Not applicable (for the 2018 metadata collection) |
|||
10.5. Dissemination format - other | |||
None |
|||
10.6. Documentation on methodology | |||
None |
|||
10.7. Quality management - documentation | |||
Not applicable (for the 2018 metadata collection) |
|
|||
11.1. Quality assurance | |||
Not applicable (for the 2018 metadata collection) |
|||
11.2. Quality management - assessment | |||
Not applicable (for the 2018 metadata collection) |
|
|||
12.1. Relevance - User Needs | |||
Eurostat 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 2018 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. Relative standard error for variable "laying hens" was approximately equal 2%. |
|||
13.2. Sampling error | |||
Not applicable (for the 2018 metadata collection) |
|||
13.3. Non-sampling error | |||
Not applicable (for the 2018 metadata collection) |
|
|||
14.1. Timeliness | |||
Not applicable (for the 2018 metadata collection) |
|||
14.2. Punctuality | |||
Not applicable (for the 2018 metadata collection) |
|
|||
15.1. Comparability - geographical | |||
No problem of comparability between regions. |
|||
15.2. Comparability - over time | |||
Comparable time series 2015-2018, 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 2018 metadata collection) |
|
|||
Not applicable (for the 2018 metadata collection) |
|
|||
17.1. Data revision - policy | |||
Not applicable (for the 2018 metadata collection) |
|||
17.2. Data revision - practice | |||
Not applicable (for the 2018 metadata collection) |
|
|||
18.1. Source data | |||
Statistical survey organised two times a year (1-st June and 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 I and II semester of year and during 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 | |||
B=biannually |
|||
18.3. Data collection | |||
Not applicable (for the 2018 metadata collection) |
|||
18.4. Data validation | |||
Not applicable (for the 2018 metadata collection) |
|||
18.5. Data compilation | |||
. |
|||
18.5.1. Data compilation process - data weighting | |||
Production of eggs for consumption per laying hen obtained during I and II semester of 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 average annual number of hens it is the arithmetic mean of the number of hens which had been calculated from three successive surveys: from December of the previous year, from June and from December of the current year. |
|||
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 two times a year (1-st June and 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. |
|
|||
|
|||