TRANSPARENCY
How much we can trace
How much of each sector's or country's emissions we can tie to a named owner.
Share of global emissions we can tie to a named owner. Higher means a more complete picture, not less pollution.Number of countries with asset-level emissions data, out of every country tracked.Number of individual emitting sources (power plants, refineries, mines) ingested from Climate TRACE.Date this snapshot was rebuilt from the upstream Climate TRACE feed.
Two different lenses. The Countries table is All greenhouse gases released inside a country's borders, no matter who owns the source. — near-complete. The Companies & producers table is Emissions tied to who runs the asset that year (power plant, refinery). The lens used in the main league table.: we rank entities by the assets they own or operate. Climate TRACE can’t yet tie diffuse sources (cars, homes, most farming) to a named owner, so the company table skews toward sectors with clear ownership.
What we can’t yet trace — and why.
- Transport (13.8% of global) — Cars, ships and trucks are diffuse. No per-owner asset attribution yet.
- Agriculture (11% of global) — Millions of small farms; no single operator we can name.
- Forestry & Land (9.3% of global) — Land-use change spans communal, state and small-holder ownership.
- Buildings (6% of global) — Heating fuel sold to households, not companies.
Snapshot 2026-06-27 · 10.2 Gt = gigatonne: one billion tonnes of CO₂-equivalent attributed of 19.1 Gt = gigatonne: one billion tonnes of CO₂-equivalent total · download entities CSV ↗
In everyday terms: attributed ≈ 2.2 billion cars/yr of a total ≈ 4.2 billion cars/yr
Coverage by sector
| Sector | Global emissions | Share | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
|---|---|---|---|
| Power | ≈ 3.5bn cars/yr16 Gt = gigatonne: one billion tonnes of CO₂-equivalent | 24.1% | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
| Manufacturing | ≈ 2.2bn cars/yr10.2 Gt = gigatonne: one billion tonnes of CO₂-equivalent | 15.4% | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
| Fossil Fuels | ≈ 2bn cars/yr9.4 Gt = gigatonne: one billion tonnes of CO₂-equivalent | 14.2% | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
| Transport | ≈ 2bn cars/yr9.2 Gt = gigatonne: one billion tonnes of CO₂-equivalent | 13.8% | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
| Agriculture | ≈ 1.6bn cars/yr7.3 Gt = gigatonne: one billion tonnes of CO₂-equivalent | 11% | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
| Forestry & Land | ≈ 1.3bn cars/yr6.2 Gt = gigatonne: one billion tonnes of CO₂-equivalent | 9.3% | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
| Buildings | ≈ 869M cars/yr4 Gt = gigatonne: one billion tonnes of CO₂-equivalent | 6% | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
| Waste | ≈ 444M cars/yr2 Gt = gigatonne: one billion tonnes of CO₂-equivalent | 3.1% | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
| Fluorinated Gases | ≈ 378M cars/yr1.7 Gt = gigatonne: one billion tonnes of CO₂-equivalent | 2.6% | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
| Mineral Extraction | ≈ 43.9M cars/yr202 Mt = megatonne: one million tonnes of CO₂-equivalent | 0.3% | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
Coverage by country
Top emitters with asset-level ingestion, by total emissions.
| Country | Total emissions | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
|---|---|---|
| China | ≈ 3.8bn cars/yr17.5 Gt = gigatonne: one billion tonnes of CO₂-equivalent | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
| USA | ≈ 1.5bn cars/yr6.9 Gt = gigatonne: one billion tonnes of CO₂-equivalent | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
| India | ≈ 936M cars/yr4.3 Gt = gigatonne: one billion tonnes of CO₂-equivalent | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
| Russia | ≈ 653M cars/yr3 Gt = gigatonne: one billion tonnes of CO₂-equivalent | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
| Indonesia | ≈ 351M cars/yr1.6 Gt = gigatonne: one billion tonnes of CO₂-equivalent | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
| Brazil | ≈ 295M cars/yr1.4 Gt = gigatonne: one billion tonnes of CO₂-equivalent | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
| Japan | ≈ 284M cars/yr1.3 Gt = gigatonne: one billion tonnes of CO₂-equivalent | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
| Iran | ≈ 267M cars/yr1.2 Gt = gigatonne: one billion tonnes of CO₂-equivalent | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
| Saudi Arabia | ≈ 227M cars/yr1 Gt = gigatonne: one billion tonnes of CO₂-equivalent | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
| Canada | ≈ 204M cars/yr936 Mt = megatonne: one million tonnes of CO₂-equivalent | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
| Mexico | ≈ 176M cars/yr812 Mt = megatonne: one million tonnes of CO₂-equivalent | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
| Australia | ≈ 176M cars/yr810 Mt = megatonne: one million tonnes of CO₂-equivalent | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
| Germany | ≈ 165M cars/yr760 Mt = megatonne: one million tonnes of CO₂-equivalent | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
| South Korea | ≈ 157M cars/yr723 Mt = megatonne: one million tonnes of CO₂-equivalent | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
| Turkey | ≈ 134M cars/yr616 Mt = megatonne: one million tonnes of CO₂-equivalent | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
| South Africa | ≈ 132M cars/yr609 Mt = megatonne: one million tonnes of CO₂-equivalent | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
| Pakistan | ≈ 131M cars/yr601 Mt = megatonne: one million tonnes of CO₂-equivalent | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
| Viet Nam | ≈ 114M cars/yr523 Mt = megatonne: one million tonnes of CO₂-equivalent | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
| Iraq | ≈ 109M cars/yr501 Mt = megatonne: one million tonnes of CO₂-equivalent | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
| Thailand | ≈ 109M cars/yr500 Mt = megatonne: one million tonnes of CO₂-equivalent | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
| Argentina | ≈ 99.3M cars/yr457 Mt = megatonne: one million tonnes of CO₂-equivalent | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
| UK | ≈ 98.2M cars/yr452 Mt = megatonne: one million tonnes of CO₂-equivalent | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
| UAE | ≈ 95.1M cars/yr437 Mt = megatonne: one million tonnes of CO₂-equivalent | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
| France | ≈ 95.1M cars/yr437 Mt = megatonne: one million tonnes of CO₂-equivalent | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
| Nigeria | ≈ 95M cars/yr437 Mt = megatonne: one million tonnes of CO₂-equivalent | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
| Malaysia | ≈ 94.6M cars/yr435 Mt = megatonne: one million tonnes of CO₂-equivalent | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
| Poland | ≈ 85M cars/yr391 Mt = megatonne: one million tonnes of CO₂-equivalent | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
| Egypt | ≈ 84.9M cars/yr390 Mt = megatonne: one million tonnes of CO₂-equivalent | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
| Kazakhstan | ≈ 84.2M cars/yr388 Mt = megatonne: one million tonnes of CO₂-equivalent | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
| Italy | ≈ 80.3M cars/yr369 Mt = megatonne: one million tonnes of CO₂-equivalent | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
| Spain | ≈ 71.5M cars/yr329 Mt = megatonne: one million tonnes of CO₂-equivalent | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
| Algeria | ≈ 71.2M cars/yr328 Mt = megatonne: one million tonnes of CO₂-equivalent | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
| Bangladesh | ≈ 69.5M cars/yr320 Mt = megatonne: one million tonnes of CO₂-equivalent | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
| Taiwan | ≈ 68.6M cars/yr316 Mt = megatonne: one million tonnes of CO₂-equivalent | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
| Ukraine | ≈ 59.3M cars/yr273 Mt = megatonne: one million tonnes of CO₂-equivalent | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
| Venezuela | ≈ 57.5M cars/yr264 Mt = megatonne: one million tonnes of CO₂-equivalent | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
| Ethiopia | ≈ 57.4M cars/yr264 Mt = megatonne: one million tonnes of CO₂-equivalent | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
| Colombia | ≈ 55.8M cars/yr257 Mt = megatonne: one million tonnes of CO₂-equivalent | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
| Philippines | ≈ 55.4M cars/yr255 Mt = megatonne: one million tonnes of CO₂-equivalent | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
| Qatar | ≈ 54.7M cars/yr252 Mt = megatonne: one million tonnes of CO₂-equivalent | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
| Uzbekistan | ≈ 53.4M cars/yr246 Mt = megatonne: one million tonnes of CO₂-equivalent | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
| Turkmenistan | ≈ 51.2M cars/yr235 Mt = megatonne: one million tonnes of CO₂-equivalent | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
| Kuwait | ≈ 45.7M cars/yr210 Mt = megatonne: one million tonnes of CO₂-equivalent | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
| Netherlands | ≈ 44.4M cars/yr204 Mt = megatonne: one million tonnes of CO₂-equivalent | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
| Oman | ≈ 39.7M cars/yr183 Mt = megatonne: one million tonnes of CO₂-equivalent | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
| Tanzania | ≈ 33.3M cars/yr153 Mt = megatonne: one million tonnes of CO₂-equivalent | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
| Sudan | ≈ 31M cars/yr142 Mt = megatonne: one million tonnes of CO₂-equivalent | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
| Mongolia | ≈ 29.8M cars/yr137 Mt = megatonne: one million tonnes of CO₂-equivalent | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
| Libya | ≈ 29.6M cars/yr136 Mt = megatonne: one million tonnes of CO₂-equivalent | How much of this entity's emissions could be tied to a named owner. Higher means a more complete picture. |
Coverage refreshes monthly (the 1st of each month). See the methodology for how attribution and the score work. Scope: top · source: snapshot.