Crop Balances for cereals cover supply and use of the main cereals (common wheat & spelt, durum wheat, barley and grain maize & corn-cob-mix) and main oilseeds.

2020

Law of 29 June 1995 on Public Statistics

Statistical Surveys Program of Official Statistics for each following year introduced by Regulation of the Council of Ministers and published in Journal of Laws

The Law on public statistics:

https://bip.stat.gov.pl/en/law/law-on-public-statistics/

Regulation of the Council of Ministers concerning the Statistical Surveys Program for 2017

http://prawo.sejm.gov.pl/isap.nsf/DocDetails.xsp?id=WDU20160001426

Regulation of the Council of Ministers concerning the Statistical Surveys Program for 2018

http://prawo.sejm.gov.pl/isap.nsf/DocDetails.xsp?id=WDU20170002471

Regulation of the Council of Ministers concerning the Statistical Surveys Program for 2019

http://prawo.sejm.gov.pl/isap.nsf/DocDetails.xsp?id=WDU20180002103

Regulation of the Council of Ministers concerning the Statistical Surveys Program for 2020

http://isap.sejm.gov.pl/isap.nsf/DocDetails.xsp?id=WDU20190002366

Polish Parliament

The present statistical law on statistics came into force in 1995 (with further amendments).

There is full coverage of variables required under EU regulation. In addition Poland is preparing balance sheets for national purposes for other crops and agricultural products.

There are no differences in definitions

Statistical surveys involving natural persons, except for censuses, shall be conducted on a voluntary basis.  Conducting of a census which imposes the obligation to provide information on natural persons shall require a separate law.

The procedure for imposing responsibilities related to statistical surveys other than census, shall be determined by Law of Official Statistics.

The entire territory of the country.

Total area of Poland (as of 31. XII. 2021)  is  312 696 km2

The entire territory of the country.

Sample Survey on land use, sown area and harvests

Statistics Poland

Land use, sown area and harvests

Farm list

Area of agricultural land above 1 ha; economic size at least 250 thousand euro

c.a. 1 576  thousand agricultural holdings

60 thousand agricultural farms

-

Sample drawing was done with stratified sampling scheme, in

 individual voivodships according to the stratified and optimal    sampling scheme of Neyman.

 Population in each voivodship was divided into 10 strata (h = 01, 02, 03, ...  , 10), and the sample was simultaneously allocated between these strata.

3.1.16

Statistical Farm Register created on the basis of the results of Agricultural Census 2010

3.1.18

Sample drawing was done with stratified sampling scheme, in

 individual voivodships according to the stratified and optimal    sampling scheme of Neyman

3.1.21

(1) Area of agricultural land in good agricultural and environmental conditions and (2) economic size

Implementation of international trade in goods in valuable quantities

Statistics Poland

Mrs Julita Kapsa

j.kapsa@stat.gov.pl

phone:

+48 22 608 3321

Data is collected by the National Tax Administration, which is a part of the structures of the Ministry of Finance.

Data on foreign trade come from:

• From customs declarations for goods traded between non-EU countries;

• From the Intrastat declaration for goods traded with EU countries

• From alternative data sources for specific goods (natural gas, electricity, purchase / sale of board fish, ships and planes

The material scope includes goods classified in accordance with the eight-digit Combined Nomenclature

The subjective scope includes entities performing foreign trade exchange. There are statistical thresholds in the Intrastat system that limit the number of reporting agents.

Regulation of the Council of Ministers regarding the program of statistical surveys of official statistics

Regulation (EC) No 638/2004 of the European Parliament and of the Council of 31 March 2004 on Community statistics relating to the trading of goods between Member States and repealing Council Regulation (EEC) No 3330/91

Regulation (EC) No 471/2009 of the European Parliament and of the Council of 6 May 2009 on Community statistics relating to external trade with non-member countries and repealing Council Regulation (EC) No 1172/95

The Act of 19 March 2004 Customs Law

Regulation of the Minister of Development and Finance of 15 February 2017 amending the regulation on INTRASTAT declarations (Journal of Laws of 2017, item 312 of February 21, 2017)

3.1.28

EU + third countries

Geographical breakdown is presented for:

• individual countries in accordance with the EU 'geonomenclature',

• groups of countries (developed, EU, euro area, OECD, EFTA, CEFTA, developing, Central and Eastern Europe

• continents

In connect to 3.1.29

According to the provisions in PBSSP

The set of data on foreign trade is an "open" set. This means that when publishing data for the reporting month, all data for previous months is corrected.

Data from foreign trade are available 70 days after the reporting period.

3.1.32

There is no direct contact, only by insitutions gathering data. In the case of Poland Chamber of Tax Administration in Szczecin for Intrastat and Analytical Center of the Chamber of Tax Administration in Warsaw for customs declarations.

Local experts in every gmina (LAU 4), Voivodship expert (NUTS2), Central Level Expert (separate for cereals, for rape, for potatoes, for sugar-beets)

Providing information on the area of crops, general conditions of crops, expected yields and harvests

 Statistical Surveys Programme

In to connect to 3.1.50

Gmina and voivodship experts are recruited from among people who know agriculture and local conditions in farming in their area; Central level experts represents research institutes, farmers organizations, public administration connected with agriculture, agricultural advisory  centers.

In connect to 3.1.52

Experts information are analyzed and compared with various data from statistical surveys, administrative data, information from different sources

Yearly report on production  from entities employing 10 and more persons

Statistics Poland

 Information on production and stocks

3.1.57

Quntity data

3.1.59

Data obtained within the obligatory reporting system; good quality of data

Sample Survey on land use, sown area and harvests

3.3.9

Electronic questionnaire,  CAPI, CATI, CAWI

Implementation of international trade in goods in valuable quantities

Online

 No problem Because it is in the PBSSP

Comment

see  http://swaid.stat.gov.pl/EN/SitePagesDBW/HandelZagraniczny.aspx

Knowledge Database Foreign Trade provides information on international trade in goods broken down by countries and goods, based on the following commodity classifications: Combined Nomenclature (CN), Standard International Trade Classification (SITC), Classification by Broad Economic Categories (BEC), Polish Classification of Products and Services (PKWiU). It contains also data on international trade in services by trading partners.

Local experts in every gmina (LAU 4), Voivodship expert (NUTS2), Central Level Expert (separate for cereals, for rape, for potatoes, for sugar-beets)

Information from experts are collected in a paper form; dates – according to the provisions in the Statistical Surveys Programme

3.4.1

In case of electronic questionnaires a number of validation measures are in place,  i.e.  logical and mathematical

3.4.2

Mathematical mistakes and logical consistency between subsequent units of a questionnaire

Not applicable.

Implementation of regulations No. 35 of the President of Statistics Poland of 28 December 2011 in case of measurement, evaluation and monitoring of the quality of statistical surveys in subordinated units ( Standards and Registers Department) with the participation of Statistical Office in Łódź (US Łódź) prepared: (only Statistical Office Łódź)

- for the plan in 2018, including the plan review of the quality of statistical surveys for 2018, which has been reviewed by Methodological Use on training on 09/02/2018,

- information on priorities implemented in 2017.

The basis for choosing tests for good quality in 2018. This is a sign of quality in the database http: //raportjakosci / and the accompanying metadata, as well as proposals reported by the Statistics Poland departments and statistical offices.

In connection with the conducted on 23-27.02.2015 in the Statistics Poland, a peer review in 2018 continued implementation of the recommendations formulated in its course.

Activities were concerned:

· Modernization of processes related to statistical production;

· Review of human resources including their optimization by delegating tasks and liquidation unoccupied work positions in order to use the potential of employees more effectively;

· Implementing a remuneration policy that would be competitive with other government agencies through obtaining funds from Operational Programs and applying to the Minister of Finance for additional remuneration funds;

· Conducting quality reviews of statistical surveys with the participation of external users;

· Preparation of IT tools supporting the user needs research system;

· Carrying out standardization work aimed at ensuring comparability and coherence, and integration of information in various metadata areas in the System of Statistical Metadata, including verification of metadata areas concerning variable descriptions and variable packages in terms of needs the program of public statistics research and the sharing of result data. Currently Research program statistical public statistics PBSSP is available in the interactive form on the website.

Starting work on the development of new metadata elements, eg data validation;

· Successive shortening of time between collecting data and making it available to users as a result of modernization of statistical methods, including the implementation of standard software in the System Statistical Data Processing (SPDS);

· Increasing the offer of unit data provided in a safe work environment.

Detailed information on the result of monitoring the implementation of improvement actions by the Statistics Poland after partner's review as at December 31, 2017 posted on the GUS website in the tab.

Metainformation / Quality in statistics / Partnership review:

The main document underlying the review is the European Statistics Code of Practice.

In addition, the quality criteria for European statistics are set out in European statistics regulations, primarily in Regulation 223/2009 on European Statistics.

A national coordinator of the peer review was appointed in the CSO, supported by the Team for the preparation and conduct of the peer review (appointed by the internal ordinance of the President of GUS No. 8 of February 14, 2014 on the organization of the peer review).

This team coordinated work related to the preparation and submission of documentation to auditors, which consisted of:

• self-assessment questionnaire on the implementation of the European Statistics Code of Practice;

• questionnaire regarding the performance of the coordinating function by the Statistics Polenad in the national statistical system (Questionnaire on the Coordination role of NSIs);

• questionnaire on cooperation and the degree of integration in the European Statistical System (Questionnaire on cooperation / level of integration achieved by the ESS);

• EKPS principles implementation questionnaire for other producers of European statistics (ONAs);

description of the national statistical system in the so-called "Core document".

4.1.5

 Timeliness

Among the activities aimed at improving the quality of official statistics, works are carried out in the field of:

• improvement of data collection methods, including electronic data collection in economic research and CAII, CAPI, CATI, mixed method in social research;
• building a new organization of statistical surveys;
• the integration of economic and social research;
• improving the quality of survey frames for statistical surveys;
• increasing the use of administrative sources;
• the development of work on public databases;
• conducting standardization activities in the field of concepts, variables, classifications, code lists, units of measurement, methodology and quality as well as other metadata used in statistical surveys;
• deepening knowledge in the field of quality through: conducting training, including e-learning, developing instructions and guidelines, and providing educational information;
• improving the metadata system;
• monitoring the quality of statistical processes through self-assessment and quality reviews;
• developing activities to study the burden on respondents and user satisfaction; identifying and popularizing good practices in improving quality in the national statistical system.

Balances will be published according both to the farming year and to calendar year. For the domestic needs not only cereal and oilseeds balances are elaborated and published.

100 %

Delays in obtaining data from administrative sources

The June farm sample survey

Errors assesments are calculated for the country level as well as for voivodships in the Statistical Computing Centre and forwarded to the authors of surveys

Please provide the coefficients of variation in table 6.2 of the annexed Excel file

6.2.2

Calculation of precision involved formulas appropriate for stratified sampling scheme. Relative standard error is calculated for a number of characteristics.

6.2.4

Adjustment factor for non-response was applied to design weights in each stratum and it was an estimate of the proportion of the number of units, which should be enumerated to the number of enumerated units in a given stratum. Units that should be enumerated include all cases of refusals and an appropriate proportion of cases of lack of contact.

Non-typical cases (outliers) were also identified using distributions of main characteristics, and such holdings have weights trimmed to 1. 

[0-100]

The June farm sample survey

Over-coverage units were identified  during data collection and appropriately coded. They were eliminated from the central set of data and were used in correction of weights. 

5.9%

Over-coverage rate was computed as the proportion of units from the sample which do not belong to the target population to the overall sample size.

The under-coverage rate was estimated on the basis of an annual analysis of changes in the number of agricultural holdings in the frame. The analysis showed that every year about 3% of newly created agricultural holdings were not included in the surveys in given year.

[0-100]

3%

Not available

6.3.1.19

Small increase of sampling errors

Implementation of international trade in goods in valuable quantities

Source data is customs declarations, Intrastat declarations and alternative data sources. The data is collected by the Ministry of Finance in accordance with the Program of statistical surveys of official statistics. Data are published from survey .

There are statistical thresholds in the Intrastat system that exempt entities from reporting that did not achieve the required turnover value in a year. The amount of thresholds is annually announced by the President of the Statistics Poland (separately for each type of trading)

[0-100]

Pursuant to the provisions, reporting must cover entities with a value of 97% of export turnover and 93% of import turnover.

Missing data is estimated based on data from the VAT system

6.3.1.30

Data estimated for entities below the statistical threshold are added together and receive an artificial identification number.

6.3.1.32

There is a multi-stage data quality control. From the moment of acceptance of the customs declaration or declaration:

• minimal control - tests the correctness of identification data, XLM schemas

• formal - correctness of dictionary data

• logical - logical connections between fields, compliance with weight and price ranges

Logical control is carried out at every stage of creating statistical information

Data quality maintains certain standards

6.3.1.37

Classification errors happen. However, the sporadic phenomenon has no major impact on quality

[0-100]

The June farm sample survey

42565

16

[0-100]

No

6.3.2.17

Definitions of terms,

Instructions for the interviewer on completing the June farm survey form in 2020 year.

The June farm sample survey

25% 

A series of actions were introduced to reduce the non-response rate.

An important part of those actions was the dissemination among farmers of information regarding the survey, its objectives and significance, as well as the obligation to participate in the survey. To every respondent participating in the survey a letter from the CSO President was sent. In commune offices the posters informing about the survey have been placed. After sending the Presidents letter a hotline for respondents and interviewers started to work – from the beginning to the end of the survey.

The proper training of interviewers also contributed to the reduction of the number of refusals. They were able to inspire a positive response to the survey and handle difficult respondents. If a holder was absent, the interviewers were able to conduct interviews with adult members of the holder's household.

The work of interviewers was monitored by regional Organizational Coordinator using the management application (CORstat).

If, during the online self-enumeration, a respondent completed only a part of the questionnaire, an interviewer called or visited that respondent to complete the form.

In cases of legal persons’ holdings, the reminders were sent by e-mail.

6.3.3.13

Unit non-response rate is typical for this kind of surveys conducted by Statistics Poland 

6.3.3.14

A series of actions were introduced to reduce the non-response rate.

An important part of those actions was the dissemination among farmers of information regarding the survey, its objectives and significance, as well as the obligation to participate in the survey. To every respondent participating in the survey a letter from the CSO President was sent. In commune offices the posters informing about the survey have been placed. After sending the Presidents letter a hotline for respondents and interviewers started to work – from the beginning to the end of the survey.

The proper training of interviewers also contributed to the reduction of the number of refusals. They were able to inspire a positive response to the survey and handle difficult respondents. If a holder was absent, the interviewers were able to conduct interviews with adult members of the holder's household.

The work of interviewers was monitored by regional Organizational Coordinator using the management application (CORstat).

If, during the online self-enumeration, a respondent completed only a part of the questionnaire, an interviewer called or visited that respondent to complete the form.

In cases of legal persons’ holdings, the reminders were sent by e-mail.

The June farm sample survey

No imputation

Questions concerning imputation are not aplicable, due to there was no imputation.

Not applicable.

Updated information

All data including balances are published according to the Statistical Surveys Programme and to the editorial plan of the Office

Crop and oilseeds balances are published just after their preparation and according to the editorial plan of the Office 

Data necessary for preparation of the balances comes from different surveys and different departments, including administrative sources. All these requires a special treatment to check the data, its cohesion etc.

Balances are included among others in the Concise statistical yearbook and Statistical yearbook of Agriculture, which are published according to the editorial plan of the Office.

Balances in relation to a calendar year – since 2020

Balances are compared with those made by the Institute of Agriculture and Food Economy – National Research Institute 

Trends are comparable

-

https://stat.gov.pl/obszary-tematyczne/roczniki-statystyczne/roczniki-statystyczne/rocznik-statystyczny-rolnictwa-2020,6,14.html

No information

https://stat.gov.pl/en/basic-data/

https://stat.gov.pl/metainformacje/

https://stat.gov.pl/obszary-tematyczne/rolnictwo-lesnictwo/rolnictwo/charakterystyka-gospodarstw-rolnych-w-2016-r-,5,5.html

Not published on a web.

Not applicable.

Not applicable.

Not applicable.

Not applicable.

there is no possibility of comparison with the previous report

As described and regulated in the Law on Public Statistics