Hungary vs Lithuania: R&D tax expenditure and direct government funding of BERD

Hungary
0.0861 Percentage of GDP
in 2024
Lithuania
0.0034 Percentage of GDP
in 2024
Hungary rank
12th
Lithuania rank
12th

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

  • Hungary
  • Lithuania
00.050.10.150.2200020122024

How they compare

Hungary currently reports 0.0861 Percentage of GDP against 0.0034 Percentage of GDP in Lithuania, a difference of 0.0827 Percentage of GDP.

That makes Hungary's figure about 25.3 times Lithuania's.

Across all 25 years both countries report, Hungary has been ahead every year.

Hungary ranks 12th and Lithuania ranks 12th of 38 countries.

Hungary has averaged higher in every one of the 3 decades both report.

Head to head by decade

Decade Hungary Lithuania Difference Ahead
2000s 0.0351 Percentage of GDP 0.0051 Percentage of GDP 0.03 Percentage of GDP Hungary
2010s 0.1431 Percentage of GDP 0.0064 Percentage of GDP 0.1367 Percentage of GDP Hungary
2020s 0.1428 Percentage of GDP 0.0053 Percentage of GDP 0.1375 Percentage of GDP Hungary

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, Hungary or Lithuania?
Hungary, at 0.0861 Percentage of GDP against 0.0034 Percentage of GDP in Lithuania as of 2024.
What is the difference in r&d tax expenditure and direct government funding of berd between Hungary and Lithuania?
0.0827 Percentage of GDP, with Hungary ahead.
How many years of comparable data are there for Hungary and Lithuania?
25 years are reported by both, from 2000 to 2024.
How do Hungary and Lithuania rank globally for r&d tax expenditure and direct government funding of berd?
Hungary ranks 12th and Lithuania ranks 12th of 38 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-financed BERD. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Hungary vs Lithuania: R&D tax expenditure and direct government funding of BERD. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 17 September 2026, from https://economy.statizoid.com/compare/r-and-d-tax-expenditure-and-direct-government-funding-of-berd-government-financed-berd/hungary/lithuania-2/

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About this data

Indicator
R&D tax expenditure and direct government funding of BERD — Government-financed BERD
Unit
Percentage of GDP
Source
Organisation for Economic Co-operation and Development
Licence
OECD Terms and Conditions (attribution required)
Coverage
51 places, 1,190 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.