Independent rankings built from public data — every figure traceable to the body that published it.
Report year 1967Data year 1967
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 1967 — 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.
105 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) |
|---|---|---|
| India | IND | 0.5546 |
| Myanmar | MMR | 0.5547 |
| Haiti | HTI | 0.5726 |
| Timor-Leste | TLS | 0.6580 |
| Nepal | NPL | 0.6685 |
| Viet Nam | VNM | 0.7284 |
| Egypt | EGY | 0.7406 |
| Mozambique | MOZ | 0.7435 |
| Malawi | MWI | 0.7602 |
| Yemen | YEM | 0.7777 |
| Oman | OMN | 0.7778 |
| Nigeria | NGA | 0.8076 |
| Pakistan | PAK | 0.8243 |
| China | CHN | 0.8381 |
| Tunisia | TUN | 0.8412 |
| Saint Lucia | LCA | 0.8588 |
| Thailand | THA | 0.9203 |
| Rwanda | RWA | 0.9297 |
| Grenada | GRD | 0.9592 |
| Philippines | PHL | 0.9660 |
| Mauritius | MUS | 0.9717 |
| Sri Lanka | LKA | 0.9850 |
| Dominican Republic | DOM | 0.9888 |
| Congo, Democratic Republic of | COD | 1.0118 |
| Ghana | GHA | 1.0229 |
| Burundi | BDI | 1.0388 |
| Korea, Republic of | KOR | 1.0819 |
| Jordan | JOR | 1.0855 |
| El Salvador | SLV | 1.0864 |
| Iraq | IRQ | 1.1015 |
| Indonesia | IDN | 1.1715 |
| Liberia | LBR | 1.1744 |
| Congo | COG | 1.2027 |
| Central African Republic | CAF | 1.2138 |
| Syrian Arab Republic | SYR | 1.2166 |
| Burkina Faso | BFA | 1.2214 |
| Benin | BEN | 1.2354 |
| Sierra Leone | SLE | 1.2757 |
| Mali | MLI | 1.2808 |
| Côte d'Ivoire | CIV | 1.3124 |
| Angola | AGO | 1.3360 |
| Zimbabwe | ZWE | 1.3414 |
| Fiji | FJI | 1.3763 |
| Cuba | CUB | 1.3862 |
| Cambodia | KHM | 1.4048 |
| Tonga | TON | 1.4100 |
| Samoa | WSM | 1.4155 |
| Albania | ALB | 1.4530 |
| Togo | TGO | 1.4545 |
| Cameroon | CMR | 1.4730 |
| Afghanistan | AFG | 1.5041 |
| Uganda | UGA | 1.5772 |
| Tanzania, United Republic of | TZA | 1.5826 |
| Lao People's Democratic Republic | LAO | 1.7163 |
| Zambia | ZMB | 1.7250 |
| Lebanon | LBN | 1.7613 |
| Türkiye | TUR | 1.7820 |
| Malaysia | MYS | 1.8249 |
| Senegal | SEN | 1.8362 |
| Kenya | KEN | 1.8445 |
| Chad | TCD | 1.8479 |
| Guinea | GIN | 1.8833 |
| Botswana | BWA | 1.9267 |
| Mexico | MEX | 1.9390 |
| Madagascar | MDG | 1.9570 |
| Jamaica | JAM | 1.9825 |
| Malta | MLT | 2.1557 |
| Venezuela, Bolivarian Republic of | VEN | 2.1627 |
| Somalia | SOM | 2.1634 |
| Colombia | COL | 2.1887 |
| Cyprus | CYP | 2.2096 |
| Bolivia | BOL | 2.2233 |
| Brazil | BRA | 2.2410 |
| Barbados | BRB | 2.2576 |
| Greece | GRC | 2.2879 |
| Costa Rica | CRI | 2.3831 |
| Niger | NER | 2.5148 |
| Chile | CHL | 2.5425 |
| Peru | PER | 2.6693 |
| Romania | ROU | 2.9165 |
| Israel | ISR | 3.2580 |
| Italy | ITA | 3.4009 |
| Paraguay | PRY | 3.4177 |
| Argentina | ARG | 3.5698 |
| South Africa | ZAF | 3.5925 |
| Antigua and Barbuda | ATG | 3.6090 |
| Spain | ESP | 3.6782 |
| Portugal | PRT | 3.7641 |
| Austria | AUT | 3.8330 |
| Japan | JPN | 3.9335 |
| Poland | POL | 4.2417 |
| Switzerland | CHE | 4.5691 |
| Germany | DEU | 4.6248 |
| France | FRA | 4.9488 |
| Bhutan | BTN | 5.9656 |
| United Kingdom | GBR | 6.2529 |
| Belgium | BEL | 6.3113 |
| Mongolia | MNG | 6.8320 |
| Denmark | DNK | 7.4970 |
| Sweden | SWE | 8.0994 |
| Norway | NOR | 9.1736 |
| United States of America | USA | 9.4599 |
| Canada | CAN | 10.0726 |
| Qatar | QAT | 10.2301 |
| Luxembourg | LUX | 10.2967 |