Chile vs Mexico: R&D tax expenditure and direct government funding of BERD

Chile
0.1857 Percentage of GDP
in 2023
Mexico
0.1921 Percentage of GDP
in 2024
Chile rank
30th
Mexico rank
29th

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

  • Chile
  • Mexico
00.10.20.3200020122024

How they compare

Mexico currently reports 0.1921 Percentage of GDP against 0.1857 Percentage of GDP in Chile, a difference of 0.0064 Percentage of GDP.

The two have swapped places 2 times across 13 shared years of data; in 2011 it was Mexico ahead.

Chile ranks 30th and Mexico ranks 29th of 33 countries.

Mexico has averaged higher in every one of the 2 decades both report.

Head to head by decade

Decade Chile Mexico Difference Ahead
2010s 0.2053 Percentage of GDP 0.2629 Percentage of GDP 0.0576 Percentage of GDP Mexico
2020s 0.1896 Percentage of GDP 0.1957 Percentage of GDP 0.0061 Percentage of GDP Mexico

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, Chile or Mexico?
Mexico, at 0.1921 Percentage of GDP against 0.1857 Percentage of GDP in Chile as of 2024.
What is the difference in r&d tax expenditure and direct government funding of berd between Chile and Mexico?
0.0064 Percentage of GDP, with Mexico ahead.
How many years of comparable data are there for Chile and Mexico?
13 years are reported by both, from 2011 to 2023.
How do Chile and Mexico rank globally for r&d tax expenditure and direct government funding of berd?
Chile ranks 30th and Mexico ranks 29th 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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Chile vs Mexico: 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/chile/mexico/

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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.