This statistic presents the net contributions that the United Kingdom (UK) is predicted to make to the European Union budget from the UK financial year 2016/2017 to 2022/2023. The peak of contributions is expected to be in 2019/20 at 12.2 billion British pounds.

This statistic shows the net contributions the United Kingdom (UK) made to the European Union (EU) budget from the UK financial years 2009/10 to 2017/18. In 2009/10 contributions to the EU budget amounted to approximately *** billion British pounds. After several years of fluctuations, contributions came to roughly *** billion British pounds in 2017/18, a net increase of over * billion British pounds.

Since 2004, Poland has received nearly *** billion euros from the European Union budget. During this period, membership payments to the EU budget amounted to over **** billion euros. The most significant net inflows were in 2020 and amounted to around ***** billion euros, including reimbursements to the EU budget of ******* euros.Composition of the budget of the European Union The EU budget is financed from various sources, including contributions based on the gross national income of individual EU member states, which are determined by their level of wealth. Additionally, customs duties on imports from non-EU countries contribute to the budget, as does a small portion of the value-added tax collected by member states. Poland compared to the rest of Europe In 2023, Germany stood out as the largest contributor to the EU budget by a significant margin. Overall, the spending of the larger Western European nations far exceeded that of smaller countries and those in Eastern Europe. Simultaneously, it became apparent that Poland received more support from EU funds than any other member state.

Graph and download economic data for Contributions to percent change in gross domestic product price index: Net exports of goods and services (A019RJ2Q224SBEA) from Q2 1947 to Q2 2025 about contributions, exports, Net, percent, goods, services, GDP, price index, indexes, price, and USA.

Graph and download economic data for Contributions to percent change in gross domestic product price index: Net exports of goods and services (A019RJ2A224NBEA) from 1930 to 2024 about contributions, exports, Net, percent, goods, services, GDP, price index, indexes, price, and USA.

Brazil Tax Revenues: Social Contribution without Net Income - CSLL: Financial Institutions data was reported at 647.065 BRL mn in May 2019. This records a decrease from the previous number of 697.675 BRL mn for Apr 2019. Brazil Tax Revenues: Social Contribution without Net Income - CSLL: Financial Institutions data is updated monthly, averaging 429.042 BRL mn from Jan 1996 (Median) to May 2019, with 281 observations. The data reached an all-time high of 6,175.640 BRL mn in Jan 2017 and a record low of 33.294 BRL mn in Sep 1998. Brazil Tax Revenues: Social Contribution without Net Income - CSLL: Financial Institutions data remains active status in CEIC and is reported by Secretariat of the Federal Revenue of Brazil. The data is categorized under Brazil Premium Database’s Government and Public Finance – Table BR.FA008: Federal Tax Revenues. Contribuição Social Sobre o Lucro Líquido (CSLL)

In 2023 Germany's contribution to the budget of the European Union was more than 29 billion Euros, the highest of any EU member state. France was the next highest contributor at 26 billion Euros. followed by Italy at 16 billion Euros and Spain at 11.1 billion Euros. The country which contributed the lowest amount was the small island nation of Malta, at 151.9 million Euros. Largest economies in Europe The amount which EU member states contribute to the EU budget is heavily linked to the size of its economy. Germany, for example, has the largest economy in the whole of the EU, with Gross domestic product reaching almost 4.12 trillion Euros in 2023. France and Italy have the second and third largest economies in Europe with GDPs of 2.8 and 2.1 trillion euros respectively.

Graph and download economic data for Contributions to percent change in GDPNow: Real Change of Net Exports of Goods and Services (CHNGNETEXPORTSCONTRIBNOW) from Q2 2014 to Q3 2025 about contributions, exports, Net, goods, services, real, GDP, and USA.

In Eurostat database, ESSPROS data on expenditure and receipts, data on net social protection benefits, data on Pension beneficiaries and data on Unemployment benefits recipients for the total of schemes are currently disseminated. The qualitative information is available in the dedicated "Social protection" section of the Eurostat website. ESSPROS data, quality reports and the qualitative information are released annually.

There are three main categories of data sources:

• administrative data
• national accounts and other estimates
• surveys/census.

Most of the countries report administrative data and register-based data as their main data sources.

Data on expenditure and receipts correspond to two collections "EXPEND" (Social protection expenditure) and "RECEIPTS" (Social protection receipts).

The collection "EXPEND" is structured in twelve tables:

1. spr_exp_type – The data include the expenditure broken down by social benefits, administration costs and other expenditure.
2. spr_exp_func – The data include the expenditure on social benefits classified by functions of social protection. Early estimates for social protection expenditure broken down by function are also included in this table.
3. spr_exp_pens – The data include the social benefits relating to pensions (old age, disability, survivors and unemployment pensions). In addition, the data are split between means-tested and non-means-tested benefits.
4. spr_exp_ftm – The data include expenditure on social benefits by function, type of benefits and means-testing.
5. spr_exp_fsi – The data include expenditure on the sickness and healthcare function by type of benefit and means-testing.
6. spr_exp_fdi – The data include the expenditure on disability function by type of benefit and means-testing.
7. spr_exp_fol – The data include the expenditure on old age function by type of benefit and means-testing.
8. spr_exp_fsu – The data include expenditure on survivors’ function by type of benefit and means-testing.
9. spr_exp_ffa – The data include expenditure on family/children function by type of benefit and means-testing.
10. spr_exp_fun – The data include expenditure on unemployment function by type of benefit and means-testing.
11. spr_exp_fho – The data include expenditure on housing function by type of benefit.
12. spr_exp_fex – The data include expenditure on social exclusion n.e.c function by type of benefit and means-testing.

Data on expenditure are made available in the following units: million euro, million euro at constant prices (using either 2010 or 2015 as base year), euro per inhabitant, euro per inhabitant at constant prices (using either 2010 or 2015 as base year), million units of national currency, million units of national currency at constant prices (using either 2010 or 2015 as base year), million pps, million pps per inhabitant, percentage of GDP. Depending on the table, the data can also be expressed as percentage of expenditure, percentage of total benefits or percentage of a given function.

Whenever applied, the split of social protection benefits by function encompasses eight functions:

• Sickness /Health care
• Disability
• Old age
• Survivors
• Family/children
• Unemployment
• Housing
• Social exclusion not elsewhere classified as well as the total of social benefits.

The detailed classification of benefits by type includes cash benefits and benefits in kind.

The collection "RECEIPTS" includes the following four tables:

1. spr_rec_sumt- The data include the receipts of social protection broken down by the different types of receipts - social contributions, general government contributions and other receipts.
2. spr_rec_scon – The data include social contributions by type of contributors: employer, protected persons, employees, self-employed, pensioners and other protected persons.
3. spr_rec_sums – The data include social contributions by the different sectors of origin: corporations, central government, state and local government, households, non-profit institutions, rest of the world.
4. spr_rec_suts – The data include social protection receipts by type and institutional sector.

Data on receipts are made available in the following units: million euro, million euro at constant prices (using either 2010 or 2015 as base year), euro per inhabitant, euro per inhabitant at constant prices (using either 2010 or 2015 as base year), million units of national currency, million units of national currency at constant prices (using either 2010 or 2015 as base year), million pps, million pps pr inhabitant, percentage of GDP, percentage of total receipt.

Data on net social protection benefits correspond to the table " spr_net_ben" (Net social protection benefits) in the collection "NET".

The ESSPROS module on net social protection benefits (restricted approach) measures net expenditure by collecting information on the average rates of taxes and social contributions paid by recipients of each cash benefit reported in the Core system. These rates are then applied to the gross expenditure on each benefit to obtain a net value as follows:

Net social benefits = Gross social benefits * (1 – AITR – AISCR)

where AITR / AISCR are the Average itemized tax / social contribution rates.

The net social protection benefits are complemented by the value of “Fiscal benefits” provided in the form of tax breaks that would be defined as social protection benefits, if they were provided in cash. Tax breaks promoting the provision of social protection or promoting private insurance plans are excluded. Exceptionally, if some fiscal benefits cannot be taken into account in the assessment of the actual taxes and social contributions paid on social benefits (this happens for few countries), then the value of net benefits should be complemented by the residual value of the fiscal benefit. In this case the formula above becomes:

Net social benefits = Gross social benefits * (1 – AITR – AISCR) + Residual fiscal benefits

In ESSPROS, fiscal benefits are defined as social protection provided in the form of tax breaks that would be defined as social protection benefits if they were provided in cash, excluding tax breaks promoting the provision of social protection or promoting private insurance plans.

According to a 2015 decision of the Working Group on Social Protection Statistics, fiscal benefits in the form of payable tax credits should be included in full (both cash component plus fiscal component) in the ESSPROS Core System while all other forms of fiscal benefit are excluded from the Core System and dealt with in the NET modules (the existing restricted approach module and the planned enlarged approach modules).

More information is available in the Annex I "Payable tax credits".

Data on pension beneficiaries correspond to the collection "PENS" that contains the table "spr_pns_ben" (Pension Beneficiaries at 31 December of each year).

The data include the number of recipients of one or more periodic cash benefits under a social protection scheme falling within seven pension categories grouped into four basic functions.

The seven categories of pensions in this module are:

• Disability pension;
• Early retirement benefit due to reduced capacity to work;
• Old-age pension;
• Anticipated old-age pension;
• Partial pension;
• Survivor's pension;
• Early retirement benefit due to labour market reasons.

The four functions of the module are:

• Disability (grouping the first two categories of pensions above);
• Old age (grouping the next three);
• Survivors (the sixth category);
• Unemployment (the last category).

The data, available by gender for the total of schemes, are expressed in "units".

ESSPROS data on pension beneficiaries may represent aggregates of multiple types of pensions, granted for various purposes, under different conditions, and to different groups with different levels of entitlement. It is essential, therefore, that users understand exactly what the data show and can interpret the figures correctly. In view of this, please see the publication "Social protection statistics - pension expenditure and pension beneficiaries" and more specifically the section "interpretation of data".

Data on Unemployment benefits recipients correspond to the collection “UBR” that contains the table “spr_ubr_ben”.

The data include the number of recipients of one or more periodic cash benefits as classified

In Eurostat database, ESSPROS data on expenditure and receipts, data on net social protection benefits, data on Pension beneficiaries and data on Unemployment benefits recipients for the total of schemes are currently disseminated. The qualitative information is available in the dedicated "Social protection" section of the Eurostat website. ESSPROS data, quality reports and the qualitative information are released annually.

There are three main categories of data sources:

• administrative data
• national accounts and other estimates
• surveys/census.

Most of the countries report administrative data and register-based data as their main data sources.

Data on expenditure and receipts correspond to two collections "EXPEND" (Social protection expenditure) and "RECEIPTS" (Social protection receipts).

The collection "EXPEND" is structured in twelve tables:

1. spr_exp_type – The data include the expenditure broken down by social benefits, administration costs and other expenditure.
2. spr_exp_func – The data include the expenditure on social benefits classified by functions of social protection. Early estimates for social protection expenditure broken down by function are also included in this table.
3. spr_exp_pens – The data include the social benefits relating to pensions (old age, disability, survivors and unemployment pensions). In addition, the data are split between means-tested and non-means-tested benefits.
4. spr_exp_ftm – The data include expenditure on social benefits by function, type of benefits and means-testing.
5. spr_exp_fsi – The data include expenditure on the sickness and healthcare function by type of benefit and means-testing.
6. spr_exp_fdi – The data include the expenditure on disability function by type of benefit and means-testing.
7. spr_exp_fol – The data include the expenditure on old age function by type of benefit and means-testing.
8. spr_exp_fsu – The data include expenditure on survivors’ function by type of benefit and means-testing.
9. spr_exp_ffa – The data include expenditure on family/children function by type of benefit and means-testing.
10. spr_exp_fun – The data include expenditure on unemployment function by type of benefit and means-testing.
11. spr_exp_fho – The data include expenditure on housing function by type of benefit.
12. spr_exp_fex – The data include expenditure on social exclusion n.e.c function by type of benefit and means-testing.

Data on expenditure are made available in the following units: million euro, million euro at constant prices (using either 2010 or 2015 as base year), euro per inhabitant, euro per inhabitant at constant prices (using either 2010 or 2015 as base year), million units of national currency, million units of national currency at constant prices (using either 2010 or 2015 as base year), million pps, million pps per inhabitant, percentage of GDP. Depending on the table, the data can also be expressed as percentage of expenditure, percentage of total benefits or percentage of a given function.

Whenever applied, the split of social protection benefits by function encompasses eight functions:

• Sickness /Health care
• Disability
• Old age
• Survivors
• Family/children
• Unemployment
• Housing
• Social exclusion not elsewhere classified as well as the total of social benefits.

The detailed classification of benefits by type includes cash benefits and benefits in kind.

The collection "RECEIPTS" includes the following four tables:

1. spr_rec_sumt- The data include the receipts of social protection broken down by the different types of receipts - social contributions, general government contributions and other receipts.
2. spr_rec_scon – The data include social contributions by type of contributors: employer, protected persons, employees, self-employed, pensioners and other protected persons.
3. spr_rec_sums – The data include social contributions by the different sectors of origin: corporations, central government, state and local government, households, non-profit institutions, rest of the world.
4. spr_rec_suts – The data include social protection receipts by type and institutional sector.

Data on receipts are made available in the following units: million euro, million euro at constant prices (using either 2010 or 2015 as base year), euro per inhabitant, euro per inhabitant at constant prices (using either 2010 or 2015 as base year), million units of national currency, million units of national currency at constant prices (using either 2010 or 2015 as base year), million pps, million pps pr inhabitant, percentage of GDP, percentage of total receipt.

Data on net social protection benefits correspond to the table " spr_net_ben" (Net social protection benefits) in the collection "NET".

The ESSPROS module on net social protection benefits (restricted approach) measures net expenditure by collecting information on the average rates of taxes and social contributions paid by recipients of each cash benefit reported in the Core system. These rates are then applied to the gross expenditure on each benefit to obtain a net value as follows:

Net social benefits = Gross social benefits * (1 – AITR – AISCR)

where AITR / AISCR are the Average itemized tax / social contribution rates.

The net social protection benefits are complemented by the value of “Fiscal benefits” provided in the form of tax breaks that would be defined as social protection benefits, if they were provided in cash. Tax breaks promoting the provision of social protection or promoting private insurance plans are excluded. Exceptionally, if some fiscal benefits cannot be taken into account in the assessment of the actual taxes and social contributions paid on social benefits (this happens for few countries), then the value of net benefits should be complemented by the residual value of the fiscal benefit. In this case the formula above becomes:

Net social benefits = Gross social benefits * (1 – AITR – AISCR) + Residual fiscal benefits

In ESSPROS, fiscal benefits are defined as social protection provided in the form of tax breaks that would be defined as social protection benefits if they were provided in cash, excluding tax breaks promoting the provision of social protection or promoting private insurance plans.

According to a 2015 decision of the Working Group on Social Protection Statistics, fiscal benefits in the form of payable tax credits should be included in full (both cash component plus fiscal component) in the ESSPROS Core System while all other forms of fiscal benefit are excluded from the Core System and dealt with in the NET modules (the existing restricted approach module and the planned enlarged approach modules).

More information is available in the Annex I "Payable tax credits".

Data on pension beneficiaries correspond to the collection "PENS" that contains the table "spr_pns_ben" (Pension Beneficiaries at 31 December of each year).

The data include the number of recipients of one or more periodic cash benefits under a social protection scheme falling within seven pension categories grouped into four basic functions.

The seven categories of pensions in this module are:

• Disability pension;
• Early retirement benefit due to reduced capacity to work;
• Old-age pension;
• Anticipated old-age pension;
• Partial pension;
• Survivor's pension;
• Early retirement benefit due to labour market reasons.

The four functions of the module are:

• Disability (grouping the first two categories of pensions above);
• Old age (grouping the next three);
• Survivors (the sixth category);
• Unemployment (the last category).

The data, available by gender for the total of schemes, are expressed in "units".

ESSPROS data on pension beneficiaries may represent aggregates of multiple types of pensions, granted for various purposes, under different conditions, and to different groups with different levels of entitlement. It is essential, therefore, that users understand exactly what the data show and can interpret the figures correctly. In view of this, please see the publication "Social protection statistics - pension expenditure and pension beneficiaries" and more specifically the section "interpretation of data".

Data on Unemployment benefits recipients correspond to the collection “UBR” that contains the table “spr_ubr_ben”.

The data include the number of recipients of one or more periodic cash benefits as classified

Taiwan General Govt Net Revenue: Others: Donations and Contributions data was reported at 9,194.477 NTD mn in 2017. This records a decrease from the previous number of 9,591.678 NTD mn for 2016. Taiwan General Govt Net Revenue: Others: Donations and Contributions data is updated yearly, averaging 601.541 NTD mn from Dec 1962 (Median) to 2017, with 56 observations. The data reached an all-time high of 12,203.771 NTD mn in 2010 and a record low of 41.554 NTD mn in 1973. Taiwan General Govt Net Revenue: Others: Donations and Contributions data remains active status in CEIC and is reported by Ministry of Finance. The data is categorized under Global Database’s Taiwan – Table TW.F003: General Government Revenue and Expenditure: Ministry of Finance.

China Contribution to(GDP) Gross Domestic ProductGrowth: Net Export of Goods and Service data was reported at 1.515 % in 2024. This records an increase from the previous number of -0.600 % for 2023. China Contribution to(GDP) Gross Domestic ProductGrowth: Net Export of Goods and Service data is updated yearly, averaging 0.100 % from Dec 1953 (Median) to 2024, with 72 observations. The data reached an all-time high of 4.000 % in 1994 and a record low of -6.900 % in 1985. China Contribution to(GDP) Gross Domestic ProductGrowth: Net Export of Goods and Service data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under Global Database’s China – Table CN.AA: Gross Domestic Product: Contribution and Share to Growth.

Brazil Tax Revenues: Social Contribution without Net Income - CSLL: Other Companies data was reported at 3,839.020 BRL mn in May 2019. This records a decrease from the previous number of 7,314.161 BRL mn for Apr 2019. Brazil Tax Revenues: Social Contribution without Net Income - CSLL: Other Companies data is updated monthly, averaging 2,307.708 BRL mn from Jan 1996 (Median) to May 2019, with 281 observations. The data reached an all-time high of 11,110.318 BRL mn in Jan 2019 and a record low of 252.140 BRL mn in Aug 1999. Brazil Tax Revenues: Social Contribution without Net Income - CSLL: Other Companies data remains active status in CEIC and is reported by Secretariat of the Federal Revenue of Brazil. The data is categorized under Brazil Premium Database’s Government and Public Finance – Table BR.FA008: Federal Tax Revenues. Contribuição Social Sobre o Lucro Líquido (CSLL)

Information on net earnings (net pay taken home, in absolute figures) and related tax-benefit rates (in %) complements gross earnings data with respect to disposable earnings. The transition from gross to net earnings requires the deduction of income taxes and employee's social security contributions from the gross amounts and the addition of family allowances, if appropriate.

The amount of these components and therefore the ratio of net to gross earnings depend on the individual situation. A number of different family situations are considered, all referring to an average worker. Differences exist with respect to the number of workers/earners (only in the case of couples), number of dependent children, and level of gross earnings, expressed as a percentage of the gross earnings of an average worker (AW).

All the data are based on a widely acknowledged model developed by the OECD, where figures are obtained from national sources (for further details on data providers, see the national contact list in Annex).

The collection contains, for selected situations, data for the following variables and indicators :
a) gross and net earnings, including the transition components "income taxes", "employee's social security contributions" and "family allowances", if appropriate;
b) tax rate, defined as the income tax on gross wage earnings plus the employee's social security contributions less universal cash benefits, expressed as a percentage of gross wage earnings;
c) tax wedge on labour costs, defined as income tax on gross wage earnings plus the employee's and the employer's social security contributions, expressed as a percentage of the total labour costs of the earner. The total labour costs of the earner are defined as his/her gross earnings plus the employer's social security contributions plus payroll taxes (where applicable). The tax wedge on labour costs structural indicator is available only for single persons without children earning 67% of the AW.
d) unemployment trap, measuring the percentage of gross earnings which is taxed away through higher tax and social security contributions and the withdrawal of unemployment, and other, benefits when an unemployed person returns to employment. This structural indicator is available only for single persons without children earning 67% of the AW when in work.
e) low wage trap, measuring the percentage of gross earnings which is taxed away through the combined effects of income taxes, social security contributions and any withdrawal of benefits when gross earnings increase from 33% to 67% of AW. This structural indicator is available for single persons without children and one-earner couples with two children.

Sweden BoP: Current Account: Net: Secondary Income: Contributions to/from the EU data was reported at -6.400 SEK bn in Jun 2018. This records an increase from the previous number of -11.000 SEK bn for Mar 2018. Sweden BoP: Current Account: Net: Secondary Income: Contributions to/from the EU data is updated quarterly, averaging -5.000 SEK bn from Mar 1998 (Median) to Jun 2018, with 82 observations. The data reached an all-time high of 1.800 SEK bn in Dec 2016 and a record low of -14.300 SEK bn in Mar 2014. Sweden BoP: Current Account: Net: Secondary Income: Contributions to/from the EU data remains active status in CEIC and is reported by Statistics Sweden. The data is categorized under Global Database’s Sweden – Table SE.JB001: BPM6: Balance of Payments.

In Eurostat database, ESSPROS data on expenditure and receipts, data on net social protection benefits, data on Pension beneficiaries and data on Unemployment benefits recipients for the total of schemes are currently disseminated. The qualitative information is available in the dedicated "Social protection" section of the Eurostat website. ESSPROS data, quality reports and the qualitative information are released annually.

There are three main categories of data sources:

• administrative data
• national accounts and other estimates
• surveys/census.

Most of the countries report administrative data and register-based data as their main data sources.

Data on expenditure and receipts correspond to two collections "EXPEND" (Social protection expenditure) and "RECEIPTS" (Social protection receipts).

The collection "EXPEND" is structured in twelve tables:

1. spr_exp_type – The data include the expenditure broken down by social benefits, administration costs and other expenditure.
2. spr_exp_func – The data include the expenditure on social benefits classified by functions of social protection. Early estimates for social protection expenditure broken down by function are also included in this table.
3. spr_exp_pens – The data include the social benefits relating to pensions (old age, disability, survivors and unemployment pensions). In addition, the data are split between means-tested and non-means-tested benefits.
4. spr_exp_ftm – The data include expenditure on social benefits by function, type of benefits and means-testing.
5. spr_exp_fsi – The data include expenditure on the sickness and healthcare function by type of benefit and means-testing.
6. spr_exp_fdi – The data include the expenditure on disability function by type of benefit and means-testing.
7. spr_exp_fol – The data include the expenditure on old age function by type of benefit and means-testing.
8. spr_exp_fsu – The data include expenditure on survivors’ function by type of benefit and means-testing.
9. spr_exp_ffa – The data include expenditure on family/children function by type of benefit and means-testing.
10. spr_exp_fun – The data include expenditure on unemployment function by type of benefit and means-testing.
11. spr_exp_fho – The data include expenditure on housing function by type of benefit.
12. spr_exp_fex – The data include expenditure on social exclusion n.e.c function by type of benefit and means-testing.

Data on expenditure are made available in the following units: million euro, million euro at constant prices (using either 2010 or 2015 as base year), euro per inhabitant, euro per inhabitant at constant prices (using either 2010 or 2015 as base year), million units of national currency, million units of national currency at constant prices (using either 2010 or 2015 as base year), million pps, million pps per inhabitant, percentage of GDP. Depending on the table, the data can also be expressed as percentage of expenditure, percentage of total benefits or percentage of a given function.

Whenever applied, the split of social protection benefits by function encompasses eight functions:

• Sickness /Health care
• Disability
• Old age
• Survivors
• Family/children
• Unemployment
• Housing
• Social exclusion not elsewhere classified as well as the total of social benefits.

The detailed classification of benefits by type includes cash benefits and benefits in kind.

The collection "RECEIPTS" includes the following four tables:

1. spr_rec_sumt- The data include the receipts of social protection broken down by the different types of receipts - social contributions, general government contributions and other receipts.
2. spr_rec_scon – The data include social contributions by type of contributors: employer, protected persons, employees, self-employed, pensioners and other protected persons.
3. spr_rec_sums – The data include social contributions by the different sectors of origin: corporations, central government, state and local government, households, non-profit institutions, rest of the world.
4. spr_rec_suts – The data include social protection receipts by type and institutional sector.

Data on receipts are made available in the following units: million euro, million euro at constant prices (using either 2010 or 2015 as base year), euro per inhabitant, euro per inhabitant at constant prices (using either 2010 or 2015 as base year), million units of national currency, million units of national currency at constant prices (using either 2010 or 2015 as base year), million pps, million pps pr inhabitant, percentage of GDP, percentage of total receipt.

Data on net social protection benefits correspond to the table " spr_net_ben" (Net social protection benefits) in the collection "NET".

The ESSPROS module on net social protection benefits (restricted approach) measures net expenditure by collecting information on the average rates of taxes and social contributions paid by recipients of each cash benefit reported in the Core system. These rates are then applied to the gross expenditure on each benefit to obtain a net value as follows:

Net social benefits = Gross social benefits * (1 – AITR – AISCR)

where AITR / AISCR are the Average itemized tax / social contribution rates.

The net social protection benefits are complemented by the value of “Fiscal benefits” provided in the form of tax breaks that would be defined as social protection benefits, if they were provided in cash. Tax breaks promoting the provision of social protection or promoting private insurance plans are excluded. Exceptionally, if some fiscal benefits cannot be taken into account in the assessment of the actual taxes and social contributions paid on social benefits (this happens for few countries), then the value of net benefits should be complemented by the residual value of the fiscal benefit. In this case the formula above becomes:

Net social benefits = Gross social benefits * (1 – AITR – AISCR) + Residual fiscal benefits

In ESSPROS, fiscal benefits are defined as social protection provided in the form of tax breaks that would be defined as social protection benefits if they were provided in cash, excluding tax breaks promoting the provision of social protection or promoting private insurance plans.

According to a 2015 decision of the Working Group on Social Protection Statistics, fiscal benefits in the form of payable tax credits should be included in full (both cash component plus fiscal component) in the ESSPROS Core System while all other forms of fiscal benefit are excluded from the Core System and dealt with in the NET modules (the existing restricted approach module and the planned enlarged approach modules).

More information is available in the Annex I "Payable tax credits".

Data on pension beneficiaries correspond to the collection "PENS" that contains the table "spr_pns_ben" (Pension Beneficiaries at 31 December of each year).

The data include the number of recipients of one or more periodic cash benefits under a social protection scheme falling within seven pension categories grouped into four basic functions.

The seven categories of pensions in this module are:

• Disability pension;
• Early retirement benefit due to reduced capacity to work;
• Old-age pension;
• Anticipated old-age pension;
• Partial pension;
• Survivor's pension;
• Early retirement benefit due to labour market reasons.

The four functions of the module are:

• Disability (grouping the first two categories of pensions above);
• Old age (grouping the next three);
• Survivors (the sixth category);
• Unemployment (the last category).

The data, available by gender for the total of schemes, are expressed in "units".

ESSPROS data on pension beneficiaries may represent aggregates of multiple types of pensions, granted for various purposes, under different conditions, and to different groups with different levels of entitlement. It is essential, therefore, that users understand exactly what the data show and can interpret the figures correctly. In view of this, please see the publication "Social protection statistics - pension expenditure and pension beneficiaries" and more specifically the section "interpretation of data".

Data on Unemployment benefits recipients correspond to the collection “UBR” that contains the table “spr_ubr_ben”.

The data include the number of recipients of one or more periodic cash benefits as classified

Graph and download economic data for Business Current Transfer Payments: Net Payments to Persons: Net Defined Benefit and Defined Contribution Pension Plans (Y660RC1A027NBEA) from 1984 to 2024 about transfers, pension, payments, contributions, benefits, Net, business, personal, GDP, and USA.

The net actual collection amount, budget amount, and year-on-year comparison of various tax revenues in Hsinchu County - Cumulative amount

European Union EU27: DG ECFIN Forecast: General Government Budget: % of Nominal GDP: Revenue: Current: Net Social Contribution data was reported at 14.246 % in 2026. This records an increase from the previous number of 14.235 % for 2025. European Union EU27: DG ECFIN Forecast: General Government Budget: % of Nominal GDP: Revenue: Current: Net Social Contribution data is updated yearly, averaging 14.229 % from Dec 1995 (Median) to 2026, with 32 observations. The data reached an all-time high of 15.866 % in 1996 and a record low of 13.707 % in 2007. European Union EU27: DG ECFIN Forecast: General Government Budget: % of Nominal GDP: Revenue: Current: Net Social Contribution data remains active status in CEIC and is reported by European Commission's Directorate-General for Economic and Financial Affairs. The data is categorized under Global Database’s European Union – Table EU.DG ECFIN.AMECO: General Government Budget: % of Nominal GDP: Forecast.