Independent rankings built from public data — every figure traceable to the body that published it.
Report year 1989Data year 1989
Ecological Footprint (global hectares per person)Higher is worse — rank 1 is worst affectedPublished by Global Footprint Network
65 reference years (1961–2025), covering 104 to 126 countries. It measures how much biologically productive land and sea a country’s consumption demands, per person, in global hectares - so a higher figure means a heavier demand on nature, not a richer country, though in practice the two track closely. ⚠ 2024 and 2025 are GFN NOWCASTS rather than accounted years: the headline figure is published but every land-type component behind it is empty. ⚠ Four dissolved states in the source (Yugoslav SFR, Serbia and Montenegro, Ethiopia PDR and Sudan (former)) are deliberately not imported, because every row here keys to a present-day country. The visible cost is that Ethiopia’s series starts in 1993 and Sudan’s in 2012. ⚠ GFN publishes no rank, so none is stored; the POSITION shown on the statistics page is derived here by ordering the score, and labelled as ours.
Ecological Footprint 1989 — Global Footprint Network
Cite as: Global Footprint Network. National Footprint and Biocapacity Accounts. Oakland, CA: Global Footprint Network.
Licence: CC BY-SA 4.0
Ecological Footprint of consumption per person, in global hectares, from the Global Footprint Network's National Footprint and Biocapacity Accounts. ⚠ 2024 and 2025 are GFN nowcasts: the headline figure is published but its land-type components are not. GFN publishes no rank, so none is stored or derived.
107 rows × 3 columns · imported from the publisher’s published data file on
Select any column heading to sort by it; select it again to reverse.
| Country | ISO Code | Ecological Footprint (global hectares per person) |
|---|---|---|
| Bangladesh | BGD | 0.4007 |
| Timor-Leste | TLS | 0.4843 |
| Haiti | HTI | 0.5332 |
| Viet Nam | VNM | 0.5745 |
| Malawi | MWI | 0.5931 |
| Yemen | YEM | 0.5933 |
| Nepal | NPL | 0.5950 |
| Myanmar | MMR | 0.6208 |
| India | IND | 0.6709 |
| Pakistan | PAK | 0.7417 |
| Mozambique | MOZ | 0.7609 |
| Rwanda | RWA | 0.7617 |
| Sri Lanka | LKA | 0.8476 |
| Mali | MLI | 0.8483 |
| Congo, Democratic Republic of | COD | 0.8621 |
| Sierra Leone | SLE | 0.8720 |
| Burundi | BDI | 0.9128 |
| Nigeria | NGA | 0.9234 |
| Angola | AGO | 0.9420 |
| Congo | COG | 0.9585 |
| Ghana | GHA | 0.9765 |
| El Salvador | SLV | 0.9836 |
| Benin | BEN | 1.0064 |
| Philippines | PHL | 1.0497 |
| Syrian Arab Republic | SYR | 1.0624 |
| Zambia | ZMB | 1.0699 |
| Côte d'Ivoire | CIV | 1.0701 |
| Burkina Faso | BFA | 1.0887 |
| Lao People's Democratic Republic | LAO | 1.0892 |
| Togo | TGO | 1.1038 |
| Egypt | EGY | 1.1100 |
| Indonesia | IDN | 1.1547 |
| Dominican Republic | DOM | 1.1847 |
| Jordan | JOR | 1.2020 |
| Thailand | THA | 1.2028 |
| Afghanistan | AFG | 1.2200 |
| Madagascar | MDG | 1.2850 |
| Cameroon | CMR | 1.2929 |
| Cambodia | KHM | 1.2977 |
| Liberia | LBR | 1.3104 |
| China | CHN | 1.3379 |
| Somalia | SOM | 1.3424 |
| Zimbabwe | ZWE | 1.3873 |
| Niger | NER | 1.4027 |
| Tunisia | TUN | 1.4106 |
| Tanzania, United Republic of | TZA | 1.4387 |
| Senegal | SEN | 1.4648 |
| Kenya | KEN | 1.4776 |
| Guinea | GIN | 1.4959 |
| Lebanon | LBN | 1.5048 |
| Jamaica | JAM | 1.5442 |
| Uganda | UGA | 1.6544 |
| Oman | OMN | 1.6869 |
| Peru | PER | 1.7287 |
| Tonga | TON | 1.7759 |
| Albania | ALB | 1.7929 |
| Central African Republic | CAF | 1.8338 |
| Grenada | GRD | 1.9150 |
| Mauritius | MUS | 2.0003 |
| Iraq | IRQ | 2.0307 |
| Colombia | COL | 2.0358 |
| Fiji | FJI | 2.0368 |
| Eswatini | SWZ | 2.0640 |
| Chad | TCD | 2.0843 |
| Türkiye | TUR | 2.1547 |
| Bolivia | BOL | 2.2359 |
| Saint Lucia | LCA | 2.2727 |
| Costa Rica | CRI | 2.3262 |
| Samoa | WSM | 2.3793 |
| Mexico | MEX | 2.4144 |
| Botswana | BWA | 2.4544 |
| Antigua and Barbuda | ATG | 2.6078 |
| Malaysia | MYS | 2.7121 |
| Brazil | BRA | 2.7644 |
| Cuba | CUB | 2.7718 |
| Korea, Republic of | KOR | 3.0669 |
| Chile | CHL | 3.1556 |
| South Africa | ZAF | 3.1599 |
| Argentina | ARG | 3.2398 |
| Venezuela, Bolivarian Republic of | VEN | 3.2929 |
| Cyprus | CYP | 3.5144 |
| Bhutan | BTN | 3.5440 |
| Paraguay | PRY | 3.7328 |
| Portugal | PRT | 3.8852 |
| Malta | MLT | 4.1082 |
| Barbados | BRB | 4.2722 |
| Israel | ISR | 4.3459 |
| Romania | ROU | 4.4952 |
| Spain | ESP | 4.5876 |
| Greece | GRC | 4.7275 |
| Austria | AUT | 4.8933 |
| Italy | ITA | 5.0228 |
| Japan | JPN | 5.2309 |
| Poland | POL | 5.5061 |
| United Kingdom | GBR | 5.7073 |
| France | FRA | 5.7089 |
| Switzerland | CHE | 6.0283 |
| Mongolia | MNG | 6.1317 |
| Germany | DEU | 6.3018 |
| Sweden | SWE | 6.5311 |
| Belgium | BEL | 7.1425 |
| Norway | NOR | 8.0276 |
| Denmark | DNK | 8.9035 |
| Qatar | QAT | 9.3168 |
| Canada | CAN | 9.6621 |
| United States of America | USA | 9.8187 |
| Luxembourg | LUX | 11.4858 |