Lithuania vs Mauritania: Environmentally related tax revenue

Lithuania
1.69 Percentage of GDP
in 2024
Mauritania
1.51 Percentage of GDP
in 2024
Lithuania rank
9th
Mauritania rank
6th

Environmentally related tax revenue over time

  • Lithuania
  • Mauritania
0.511.522.5199520092024

How they compare

Lithuania currently reports 1.69 Percentage of GDP against 1.51 Percentage of GDP in Mauritania, a difference of 0.18 Percentage of GDP.

That makes Lithuania's figure about 1.1 times Mauritania's.

The two have swapped places 4 times across 18 shared years of data; in 2007 it was Lithuania ahead.

Lithuania ranks 9th and Mauritania ranks 6th of 13 countries.

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

Head to head by decade

Decade Lithuania Mauritania Difference Ahead
2000s 1.82 Percentage of GDP 0.8304 Percentage of GDP 0.9888 Percentage of GDP Lithuania
2010s 1.89 Percentage of GDP 1.24 Percentage of GDP 0.6484 Percentage of GDP Lithuania
2020s 1.81 Percentage of GDP 1.6 Percentage of GDP 0.2149 Percentage of GDP Lithuania

Averages of every year both report within each decade.

Frequently asked questions

Which has higher environmentally related tax revenue, Lithuania or Mauritania?
Lithuania, at 1.69 Percentage of GDP against 1.51 Percentage of GDP in Mauritania as of 2024.
What is the difference in environmentally related tax revenue between Lithuania and Mauritania?
0.18 Percentage of GDP, with Lithuania ahead.
How many years of comparable data are there for Lithuania and Mauritania?
18 years are reported by both, from 2007 to 2024.
How do Lithuania and Mauritania rank globally for environmentally related tax revenue?
Lithuania ranks 9th and Mauritania ranks 6th of 13 countries.
Where does this data come from?
Organisation for Economic Co-operation and Development, published as Environmentally related tax revenue. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Lithuania vs Mauritania: Environmentally related tax revenue. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 02 September 2026, from https://economy.statizoid.com/compare/environmentally-related-tax-revenue/lithuania-2/mauritania-2/

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About this data

Indicator
Environmentally related tax revenue
Unit
Percentage of GDP
Source
Organisation for Economic Co-operation and Development
Licence
OECD Terms and Conditions (attribution required)
Coverage
146 places, 4,005 data points, 1994–2024
Last refreshed

<!DOCTYPE html> ERTR Database body { font-family: Arial, sans-serif; font-size: 11px; } p { font-family: Arial, sans-serif; font-size: 11px; } Environmentally related taxes are effective policy instruments to shape relative prices of goods and services. The Environmental Related Tax Revenue Database (ERTR) categorises taxes based on their environmental relevance, constructing environmentally related tax revenue with a breakdown by tax-base category (including energy, transport, pollution, and resources) and 22 environmental domains. Note that tax-base categories are mutually exclusive, while domains are not. Therefore, one should not aggregate revenue across domains as it may lead to double counting. Data source(s): ERTR draws from the OECD Policy Instruments for the Environment (PINE) database. The database contains detailed qualitative and quantitative information on environmentally related taxes and fees, tradable permits and offsets, deposit-refund schemes, environmentally beneficial subsidies and payments and voluntary approaches used for environmental policy. It is updated annually and covers OECD member countries, accession countries and selected non-OECD countries. The data has been cross-validated and complemented with Revenue statistics from the Global Revenue Statistics databases, Eurostat National Tax Lists, and official national sources. Contact: pinedatabase@oecd.org Dataset release date: July 2026 For further details on the dataset consult the dataset documentation and oe.cd/pine. For revenue data at the individual-tax level, please consult https://oe.cd/pinedatabase.