Mexico vs Pakistan: Environmentally related tax revenue

Mexico
1.32 Percentage of GDP
in 2024
Pakistan
1.25 Percentage of GDP
in 2024
Mexico rank
48th
Pakistan rank
51st

Environmentally related tax revenue over time

  • Mexico
  • Pakistan
00.511.5199420092024

How they compare

Mexico currently reports 1.32 Percentage of GDP against 1.25 Percentage of GDP in Pakistan, a difference of 0.07 Percentage of GDP.

That makes Mexico's figure about 1.1 times Pakistan's.

The two have swapped places 4 times across 31 shared years of data; in 1994 it was Mexico ahead.

Mexico ranks 48th and Pakistan ranks 51st of 123 countries.

Across the 4 decades both report, Mexico averaged higher in 3 and Pakistan in 1.

Head to head by decade

Decade Mexico Pakistan Difference Ahead
1990s 1.18 Percentage of GDP 0 Percentage of GDP 1.18 Percentage of GDP Mexico
2000s 0.7447 Percentage of GDP 0.321 Percentage of GDP 0.4236 Percentage of GDP Mexico
2010s 0.6855 Percentage of GDP 0.7452 Percentage of GDP 0.0597 Percentage of GDP Pakistan
2020s 1.06 Percentage of GDP 0.9842 Percentage of GDP 0.0781 Percentage of GDP Mexico

Averages of every year both report within each decade.

Frequently asked questions

Which has higher environmentally related tax revenue, Mexico or Pakistan?
Mexico, at 1.32 Percentage of GDP against 1.25 Percentage of GDP in Pakistan as of 2024.
What is the difference in environmentally related tax revenue between Mexico and Pakistan?
0.07 Percentage of GDP, with Mexico ahead.
How many years of comparable data are there for Mexico and Pakistan?
31 years are reported by both, from 1994 to 2024.
How do Mexico and Pakistan rank globally for environmentally related tax revenue?
Mexico ranks 48th and Pakistan ranks 51st 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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Mexico vs Pakistan: Environmentally related tax revenue. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 04 September 2026, from https://economy.statizoid.com/compare/environmentally-related-tax-revenue/mexico/pakistan/

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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.