Europe & Central Asia
Forest area (% of land area)

Within the “Europe & Central Asia” group, Finland leads Forest area (% of land area) in 2023 at 73.72%, while Monaco sits at the lower end of the current snapshot with 0.00%. This format is well suited to long-tail regional and income-group queries.

Group leaders

0.018.436.955.373.7FinlandFinland: 73.72%73.7SwedenSweden: 68.70%68.7MontenegroMontenegro: 61.49%61.5SloveniaSlovenia: 61.17%61.2EstoniaEstonia: 57.07%57.1LatviaLatvia: 55.00%55.0Russian FederationRussian Federation: 49.78%49.8AustriaAustria: 47.24%47.2BelarusBelarus: 43.41%43.4Bosnia and HerzegovinaBosnia and Herzegovina: 42.73%42.7LiechtensteinLiechtenstein: 41.88%41.9GeorgiaGeorgia: 40.62%40.6

Country table

#CountryValue
1 Finland 73.72%
2 Sweden 68.70%
3 Montenegro 61.49%
4 Slovenia 61.17%
5 Estonia 57.07%
6 Latvia 55.00%
7 Russian Federation 49.78%
8 Austria 47.24%
9 Belarus 43.41%
10 Bosnia and Herzegovina 42.73%
11 Liechtenstein 41.88%
12 Georgia 40.62%
13 Slovak Republic 40.06%
14 North Macedonia 39.71%
15 Spain 37.19%
16 Bulgaria 36.22%
17 Portugal 36.15%
18 Lithuania 35.23%
19 Croatia 34.79%
20 Czechia 34.76%
21 Luxembourg 34.45%
22 Andorra 34.04%
23 Norway 33.50%
24 Italy 32.89%
25 Germany 32.68%
26 France 32.48%
27 Serbia 32.39%
28 Switzerland 32.38%
29 Poland 31.08%
30 Greece 30.27%
31 Romania 30.12%
32 Turkiye 29.48%
33 Albania 28.79%
34 Belgium 22.60%
35 Hungary 22.45%
36 Cyprus 18.67%
37 Ukraine 16.76%
38 San Marino 16.67%
39 Denmark 15.78%
40 Azerbaijan 14.11%
41 United Kingdom 13.29%
42 Moldova 11.74%
43 Armenia 11.62%
44 Ireland 11.53%
45 Netherlands 11.06%
46 Turkmenistan 8.78%
47 Uzbekistan 8.55%
48 Kyrgyz Republic 7.14%
49 Isle of Man 6.07%
50 Tajikistan 3.08%

Analytical takeaways

  • Inside the Europe & Central Asia group for Forest area (% of land area) in 2023, Finland leads with a gap of 5.02% to the next country.
  • The peer set on this page covers 56 countries, and the lower end of the current distribution sits with Monaco at 0.00%.
  • This page bridges the global ranking context with a more relevant regional or income-based comparison layer.