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National reference metadata

Poland

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.

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National accounts (ESA 2010) (na10)

National Reference Metadata in Euro SDMX Metadata Structure (ESMS)

Compiling agency: Statistics Poland

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National accounts data concern all data produced and disseminated for an economy according to the definitions and guidelines of the European System of Accounts (ESA 2010).

National accounts provide data for the total economy, but may also include breakdowns of the total economy (into sectors, industries, products, regions, etc.). National accounts provide data for several domains:  annual and quarterly national accounts (main aggregates), sector accounts, financial accounts, supply and use and input-output tables, regional accounts and government finance statistics.

One of the main aggregates of national accounts is the change rate of the price-adjusted gross domestic product (GDP), which indicates the economic development of a country of region and is also referred to as economic growth rate.

In Eurobase, countries' data are presented following the usual data structure.

At national level, data are commonly available for:

  • annual and quarterly national accounts: 'main aggregates'
  • annual and quarterly sector accounts
  • annual financial accounts and balance sheets
  • supply and use and input-output tables
  • annual and quarterly government finance statistics data: 'main aggregates', quarterly financial government accounts and government debt
  • regional breakdowns of main national accounts variables and household accounts
  • industry breakdowns of main national accounts variables
  • industry by asset breakdowns (stocks and transactions)
  • detailed data on taxes, social contributions and government expenditure by function
  • pension entitlements in social insurance
13 April 2021

All statistical concepts and definitions to be used in national accounts are described in Annex A of the ESA 2010 Regulation (link to blue book on ESA2010 methodology). The two main sets of tables concern: (a) the institutional sector accounts; (b) the input-output framework, and the accounts by industry.

The sector accounts provide, by institutional sector, a systematic description of the different stages of the economic process: production, generation of income, distribution of income, redistribution of income, use of income and financial and nonfinancial accumulation. The sector accounts also include balance sheets to describe the stocks of assets, liabilities and net worth at the beginning and the end of the accounting period. The variables/concepts described in the sector accounts include transactions in products, transactions in non-produced non-financial assets, distributive transactions, transactions in financial assets and liabilities, other changes in assets, non-financial and financial assets and liabilities.

The input-output framework, through the supply and use tables, sets out in more detail the production process (cost structure, income generated and employment) and the flows of goods and services (output, imports, exports, final consumption, intermediate consumption and capital formation by product group). These variables are broken down by industry (NACE Rev. 2) and product (CPA 2015).

ESA 2010 also encompasses concepts of population and employment. Such concepts are relevant for the sector accounts, the accounts by industry and the supply and use framework.

Regional accounts provide regional breakdowns for major aggregates such as gross value added by industry, gross fixed capital formation and household income. Regional breakdowns are based on the NUTS classification. National accounts concepts are also used for regional accounts.

In addition Annex A of the ESA 2010 Regulation addresses and defines numerous other concepts and definitions, such as the definition of: statistical units and their groupings, flows and stocks, accounting rules (valuation, time of recording, consolidation and netting). The main features and principles for the compilation of national accounts can be found in Chapter 1. 

More information about concepts and definitions used in compilation of Polish national accounts please see the publication: National accounts by institutional sectors 2015-2018

https://stat.gov.pl/en/topics/national-accounts/annual-national-accounts/national-accounts-by-institutional-sectors-20152018,2,14.html

Following the ESA 2010 guidelines, in national accounts two types of units and two corresponding ways of subdividing the economy are used: (a) institutional unit; (b) local kind-of-activity unit (local KAU). The first type is used for describing income, expenditure and financial flows as well as balance sheets. The second type of units is used for the description of production processes, for input-output analysis and for regional analysis.

An institutional unit is an economic entity characterised by decision-making autonomy in the exercise of its principal function. A resident unit is regarded as constituting an institutional unit in the economic territory where it has its centre of predominant economic interest if it has decision-making autonomy and either keeps a complete set of accounts, or is able to compile a complete set of accounts.

A local KAU groups all the parts of an institutional unit in its capacity as producer which are located in a single site or in closely located sites, and which contribute to the performance of an activity at the class level (four digits) of the NACE Rev. 2.

An institutional unit comprises one or more local KAUs; a local KAU belongs to one and only one institutional unit.

The national accounts population of a country consists of all resident statistical units (institutional units or local KAUs, see section 3.5). A unit is a resident unit of a country when it has a centre of predominant economic interest on the economic territory of that country, that is, when it engages for an extended period (one year or more) in economic activities on this territory.

National accounts are exhaustive. This means that all resident statistical units are covered.

The reference area for national accounts is the total economy of a country. The total economy of a country can be broken down into regions. The NUTS classification provides a single, uniform breakdown of the economic territory of the Member States of the EU.

The usual reference period to be used for presenting national accounts data is the calendar year for annual data and the quarter for quarterly data.

Two basic kinds of information are recorded: flows and stocks. Flows refer to actions and effects of events that take place within a given period of time (year or quarter), while stocks refer to positions at a point of time (usually the beginning or end of a year or quarter).

National accounts data is a subject of routine revisions. The main reason for subsequent regular revision is an access to more up to date data sources. All differences between new and old versions in each round of revision of annual and quarterly national accounts are identified and described.

In Polish regional accounts the NUTS 2 data are more accurate than data at NUTS 3 level. NUTS 2 data are calculated applying more accurate data sources and methods, whereas NUTS 3 data are calculated using simplified method. NUTS 1 data are obtained as a sum of NUTS 2 level data.

Accuracy of Polish national accounts data, reported to Eurostat under the ESA 2010 transmission programme, is assessed by Eurostat in the National Quality Report for Poland.

In the Polish national accounts units of measures are as follows:

  • Polish national currency (PLN) in millions,
  • Number of persons in thousands for employment data,
  • Percentage of total GDP for main components.

In Polish national accounts, the main aggregates figures are calculated independently from production and expenditure approach. The residual calculation method is applied for GDP from income approach. The main sources of data are statistical surveys, administrative data sources as well as conceptual and additional estimations to ensure data completeness.

The production approach calculations cover all activities of institutional units at the section and division level in accordance with the NACE Rev. 2 as well as by ownership sectors (public, private) and national institutional sectors. 

The supply and use analyses forms the basis for the balancing process by type of products and provides important indications as regards the consistency of the GDP production and expenditure approaches. The balancing of supply and use of goods and services in the previous years is used as a tool for the final adjustment in the GDP compilation process. 

Quarterly national accounts adopt the same principles, definitions and methods as the annual accounts including certain modifications due to the period of time covered and the way of using available statistical and administrative data. Adopting the same framework for compilation as for annual accounts ensures data consistency. QNA applied the direct compilation method based on monthly and quarterly statistical reports as well as administrative data. Additionally, quarterly indicators are used to extrapolate annual figures.

The Polish QNA system applies two approaches of calculating GDP – output and expenditure approach. The sources of information for the measures are independent. These two approaches of calculating GDP are consistent by definition. Discrepancies that occur as a result data compilation are eliminated in the balancing process.

For deriving QNA estimates consistent with annual benchmark, uniform and multiplicative (UM) method is used. 

Regarding  employment data, the procedure of data compilation for LFS is provided under the links mentioned in the section S.10.6, especially in the publication „Labour Force Survey in Poland” under link: https://stat.gov.pl/en/topics/labour-market/working-unemployed-economically-inactive-by-lfs/labour-force-survey-in-poland-iii-quarter-2018,2,31.html and in two methodological notebooks (in Polish only) under links: https://stat.gov.pl/obszary-tematyczne/rynek-pracy/zasady-metodyczne-rocznik-pracy/zeszyt-metodologiczny-statystyka-rynku-pracy-i-wynagrodzen,1,2.html

https://stat.gov.pl/obszary-tematyczne/rynek-pracy/zasady-metodyczne-rocznik-pracy/zeszyt-metodologiczny-badanie-aktywnosci-ekonomicznej-ludnosci,3,1.html

In regional accounts compilations the same statistical concept and definitions are used as for compiling national accounts.

Local kind-of-activity unit (LKAU) is the main classification unit in the Polish regional accounts. It allows for proper allocation of the dimension of conducted economic activities to a definite region (see section 3). The only approach to compile regional GVA at NUTS 2 level is the production approach. Production account and generation of income account are compiled for five national institutional sectors at NUTS 2 (for more details see point 3.3). At NUTS 3 level only GVA and GDP are compiled. GDP is regionalized proportionally to the GVA at NUTS 2 and NUTS 3 level.

Regional accounts data at NUTS 2 level are compiled using bottom-up and top-down methods. The sources and methods applied vary depending on institutional sectors.

As a rule, the estimation processes are performed at the lowest possible level of aggregation to ensure both a high degree of reliability of the estimates and an adequate detail to represent the sectors evolution. The methods applied in the compilation process provides comprehensive estimates of GDP, including the non-observed components of the economy. 

For related methodological information see section S.10.6.

In order to ensure both completeness and high quality of national data various data sources are used, including:

  • results of statistical surveys conducted by Statistics Poland in particular,
    • annual survey of the economic activity of enterprises (data on enterprise and local units),
    • higher education institutions and their finances,
    • survey on the finances of cultural institutions,
    • current financial results of enterprises and outlays on fixed assets as well as financial assets and liabilities,
    • persons employed in the national economy,
    • manufacture of industrial products,
    • research and development activity (R&D),
    • procurement of major agricultural and forest products,
    • financial results of investment fund companies.
  • administrative data sources from:
    • Ministries, 
    • National Bank of Poland,
    • Polish Financial Supervision Authority,
    • Social Insurance Institution,
    • Agricultural Social Insurance Fund,
    • National Health Fund,
    • Bank Gospodarstwa Krajowego,
    • National Broadcasting Council,
    • Office of Electronic Communications,
    • Agency for Restructuring and Modernisation of Agriculture,
    • Marshal’s offices,
    • self-government units,
    • National Court Register (KRS),
    • The Material Reserves Agency. 
  • other, including big data.

A detailed list of data sources used in quarterly and annual national accounts is available in QNA Inventory (Polish Quarterly National Accounts based on ESA 2010 methodology), ASA Inventory, GNI Inventory, Regional Accounts Inventory and publications (National accounts by institutional sectors 2015–2018, Quarterly national accounts of gross domestic product 2015-2019). 

What is more, data sources used in national are specified in details  every year in the Programme of statistical surveys of public statistics.

See the link below (Polish version only): https://bip.stat.gov.pl/dzialalnosc-statystyki-publicznej/program-badan-statystycznych/

New quarterly national accounts data are published each quarter: 4 times per year. However, initially released quarterly national accounts data are revised and disseminated again after the revision of annual data. Annual national accounts data are published more than once a year, which is a result of the access to the new updated data sources. The example is a routine revision of annual gross domestic product.

For the first time, the annual GDP for year t-1, available at the end of January of year t, is compiled on the basis of the quarterly GDP data. 

Then the following revisions are made:

  • first preliminary annual GDP estimate for the year t-1 – based on available, limited annual data sources for the statistics of non-financial enterprises, annual data for the general government sector and annual foreign trade turnover,
  • second version of the annual GDP estimate for year t-1 – based on information from annual statistical reports, annual reports of external institutions, annual final data for the general government sector, etc.,
  • third and final version of the annual GDP estimate for year t-2 – use of the final information from annual statistical reports and administrative sources.

According to ESA 2010 Transmission Programme, national accounts data are transmitted to Eurostat quarterly (t+2) and/or annually (t+2/9) starting in 1995 (years) and 1995Q1 onwards (quarter). Shorter time series are required for regional data and supply-use and input-output data. For more details see the Transmission Programme ESA2010

https://stat.gov.pl/en/topics/national-accounts/european-system-of-national-and-regional-accounts-esa-2010/regulation-eu-no-5492013-of-the-european-parliament-and-of-the-council-of-21-may-2013,1,1.html

Transmission of data To Eurostat is accompanied by a national publication of data.

The timing of publication of national accounts data depends on provisions in national and EU regulations, access to source data and the complexity of the compilation process.

The detailed scope and required timeliness for national accounts data are defined in Transmission Programme ESA2010. 

The annual main aggregates data are provided to Eurostat 2 and 9 months after the end of the reference year. Quarterly data are transmitted 2 months after the quarter-end. 

The annual general government data are provided to Eurostat 3 months (main aggregates and EDP data), 9 months (main aggregates, detailed data on taxes, social contributions and EDP data) and 12 months (government expenditure by function) after reporting period. Quarterly data are transmitted 3 months after reporting period. At the national level, general government deficit and debt data are publicly available twice a year in the form of news release (provisional data in April and final data in October) at the same time of Eurostat’s press releases.

Provisional annual data on main aggregates' and EDP data as well as quarterly data on non-financial and financial accounts and government debt data are available within 3 months after reporting period.

Provisional estimates of gross domestic product / total gross value added at regional level (NUTS 2) are available within 12 months after the end of the reference year (t+12). Depending on the scope of data, tables are sent to Eurostat at 12 and 24 after the reference year.

The revised final data is used to calculate the average value of GDP per capita for the last three years for territorial units at NUTS 1, NUTS 2 and NUTS 3 levels. Data in the form of a Statistics Poland President's announcement are published by October 30 each year (t+22). The deadlines for approving revised final data for 2018 is October 26, 2020 (665 days). Data are immediately transmitted to the Local Data Bank database to provide users with full and immediate access to extensive data.

According to the ESA 2010 regulation, supply, use and input-output tables are transmitted to Eurostat within 36 months after the end of the reference year.

In Poland supply and use tables are prepared every year and input-output tables are prepared every 5 years.

Due to the need to prepare a publication containing methodological information, at the national level supply and use tables are publicly available within 39 months after the end of the reference year and input-output tables are published within 42 months after the end of the reference year. 

At the national level data are publicly available in the form of news release, publications and internet database.

The geographical comparability of national accounts data is ensured by application of common definitions and compilation standards provided in the European System of National and Regional Accounts. 

Compilation of national accounts according to the methodology applied bot at EU and worldwide levels allows for the publication of a set of data devoted to international comparisons, e.g. general government surplus/deficit, general government debt and gross domestic product according to the purchasing power parity. Data on private consumption, gross fixed capital formation and gross value added for selected activities are also published. 

Comparability between regions is ensured by application of the NUTS classification for 2000 onwards in the scope of GFCF, GVA, compensation of employees and for 2016 onwards in case of employment.

The compilation of national accounts according to the ESA2010 standard guarantees the comparability both geographical and over time, i.e. between countries and in long time series. Access to appropriate data sources that adequately respond to the changing economic environment is extremely important. The methodology itself also requires updating in order to reflect changes taking place in the economic environment. Hence, national accounts are subject to regular revisions, verifying historical data since 1995. Improving the methods of estimating selected areas of the economy, taking into account phenomena that have not been subject to observation so far, or the use of more recent data sources is introduced in the longest possible number of years, which guarantees comparability of data in time.

The cyclical recalculation of full data series is aimed at developing and providing users with consistent and comparable data from the area of national accounts. 

As a result of the GNI and EDP  verification procedure, Statistics Poland is obliged to revise national accounts data for the open years (since 2010 for GNI and the last four years for EDP). If the relevant revisions are significant, the time series  are verified also for the years before 2010. Introduction of the relevant changes in the longer period ensures comparability and consistency of the data series.