Congo vs Nigeria: Environmentally related tax revenue

Congo
0.017 Percentage of GDP
in 2024
Nigeria
0.0074 Percentage of GDP
in 2024
Congo rank
113th
Nigeria rank
114th

Environmentally related tax revenue over time

  • Congo
  • Nigeria
00.010.020.030.04199420092024

How they compare

Congo currently reports 0.017 Percentage of GDP against 0.0074 Percentage of GDP in Nigeria, a difference of 0.0096 Percentage of GDP.

That makes Congo's figure about 2.3 times Nigeria's.

The two have swapped places 7 times across 31 shared years of data; in 1994 it was Nigeria ahead.

Congo ranks 113th and Nigeria ranks 114th of 123 countries.

Across the 4 decades both report, Congo averaged higher in 3 and Nigeria in 1.

Head to head by decade

Decade Congo Nigeria Difference Ahead
1990s 0.0045 Percentage of GDP 0 Percentage of GDP 0.0045 Percentage of GDP Congo
2000s 0.0043 Percentage of GDP 0.0094 Percentage of GDP 0.0051 Percentage of GDP Nigeria
2010s 0.0218 Percentage of GDP 0.0161 Percentage of GDP 0.0057 Percentage of GDP Congo
2020s 0.0186 Percentage of GDP 0.0144 Percentage of GDP 0.0042 Percentage of GDP Congo

Averages of every year both report within each decade.

Frequently asked questions

Which has higher environmentally related tax revenue, Congo or Nigeria?
Congo, at 0.017 Percentage of GDP against 0.0074 Percentage of GDP in Nigeria as of 2024.
What is the difference in environmentally related tax revenue between Congo and Nigeria?
0.0096 Percentage of GDP, with Congo ahead.
How many years of comparable data are there for Congo and Nigeria?
31 years are reported by both, from 1994 to 2024.
How do Congo and Nigeria rank globally for environmentally related tax revenue?
Congo ranks 113th and Nigeria ranks 114th of 123 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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Congo vs Nigeria: Environmentally related tax revenue. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 30 August 2026, from https://economy.statizoid.com/compare/environmentally-related-tax-revenue/congo-rep/nigeria/

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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.