Latvia vs Slovenia: R&D tax expenditure and direct government funding of BERD

Latvia
0.0143 Percentage of GDP
in 2024
Slovenia
0.0711 Percentage of GDP
in 2024
Latvia rank
10th
Slovenia rank
8th

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

  • Latvia
  • Slovenia
00.10.20.3200020122024

How they compare

Slovenia currently reports 0.0711 Percentage of GDP against 0.0143 Percentage of GDP in Latvia, a difference of 0.0568 Percentage of GDP.

That makes Slovenia's figure about 5.0 times Latvia's.

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

Latvia ranks 10th and Slovenia ranks 8th of 12 countries.

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

Head to head by decade

Decade Latvia Slovenia Difference Ahead
2000s 0.0135 Percentage of GDP 0.0664 Percentage of GDP 0.0529 Percentage of GDP Slovenia
2010s 0.0057 Percentage of GDP 0.1556 Percentage of GDP 0.1499 Percentage of GDP Slovenia
2020s 0.0109 Percentage of GDP 0.0789 Percentage of GDP 0.0681 Percentage of GDP Slovenia

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, Latvia or Slovenia?
Slovenia, at 0.0711 Percentage of GDP against 0.0143 Percentage of GDP in Latvia as of 2024.
What is the difference in r&d tax expenditure and direct government funding of berd between Latvia and Slovenia?
0.0568 Percentage of GDP, with Slovenia ahead.
How many years of comparable data are there for Latvia and Slovenia?
25 years are reported by both, from 2000 to 2024.
How do Latvia and Slovenia rank globally for r&d tax expenditure and direct government funding of berd?
Latvia ranks 10th and Slovenia ranks 8th of 12 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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Latvia vs Slovenia: 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/latvia-2/slovenia-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.