Denmark vs Finland: R&D tax expenditure and direct government funding of BERD

Denmark
0.8915 Percentage of GDP
in 2024
Finland
0.9054 Percentage of GDP
in 2024
Denmark rank
6th
Finland rank
4th

R&D tax expenditure and direct government funding of BERD over time

  • Denmark
  • Finland
00.250.50.751200020122024

How they compare

Finland currently reports 0.9054 Percentage of GDP against 0.8915 Percentage of GDP in Denmark, a difference of 0.0139 Percentage of GDP.

The two have swapped places 4 times across 25 shared years of data; in 2000 it was Finland ahead.

Denmark ranks 6th and Finland ranks 4th of 33 countries.

Across the 3 decades both report, Denmark averaged higher in 1 and Finland in 2.

Head to head by decade

Decade Denmark Finland Difference Ahead
2000s 0.7733 Percentage of GDP 0.9631 Percentage of GDP 0.1897 Percentage of GDP Finland
2010s 0.9597 Percentage of GDP 0.9468 Percentage of GDP 0.0129 Percentage of GDP Denmark
2020s 0.8933 Percentage of GDP 0.9069 Percentage of GDP 0.0136 Percentage of GDP Finland

Averages of every year both report within each decade.

Frequently asked questions

Which has higher r&d tax expenditure and direct government funding of berd, Denmark or Finland?
Finland, at 0.9054 Percentage of GDP against 0.8915 Percentage of GDP in Denmark as of 2024.
What is the difference in r&d tax expenditure and direct government funding of berd between Denmark and Finland?
0.0139 Percentage of GDP, with Finland ahead.
How many years of comparable data are there for Denmark and Finland?
25 years are reported by both, from 2000 to 2024.
How do Denmark and Finland rank globally for r&d tax expenditure and direct government funding of berd?
Denmark ranks 6th and Finland ranks 4th of 33 countries.
Where does this data come from?
Organisation for Economic Co-operation and Development, published as R&D tax expenditure and direct government funding of BERD — Government budget allocations for R&D (GBARD). Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Denmark vs Finland: R&D tax expenditure and direct government funding of BERD. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 18 September 2026, from https://economy.statizoid.com/compare/r-and-d-tax-expenditure-and-direct-government-funding-of-berd-government-budget/denmark/finland/

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About this data

Indicator
R&D tax expenditure and direct government funding of BERD — Government budget allocations for R&D (GBARD)
Unit
Percentage of GDP
Source
Organisation for Economic Co-operation and Development
Licence
OECD Terms and Conditions (attribution required)
Coverage
46 places, 1,055 data points, 2000–2024
Last refreshed

The OECD R&D Tax Incentives database provides a set of indicators that reflect the level and structure of central and subnational government support for business R&D in form of R&D tax incentives and direct funding across OECD member countries and other major economies. This includes time-series indicators of tax expenditures for R&D, based on the latest OECD data collection on tax incentive support for R&D expenditures. Estimates of the cost of R&D tax support at subnational government level are reported whenever such provisions are applicable and relevant data are available. These estimates of the cost of central and subnational R&D tax relief have been combined with data on direct government funding of business expenditure on R&D (BERD), as compiled by National Statistical Offices based on reports from firms, in order to provide a more complete picture of government efforts to promote business R&D. Furthermore, these estimates are combined with data on Government budget allocations for R&D (GBARD) in the broader context of overall budgetary support for R&D activities undertaken by governments. Government budget allocations for R&D include direct funding provided to all sectors, including contributions to R&D programmes abroad. OECD (2019) provides a practical guide to using the OECD R&D Tax Incentives database, describing the R&D tax incentive time series data and highlighting their potential for internationally comparative work through descriptive indicators and econometric analysis.