Deforestation statistics for Lithuania
Lithuania: Demographic data
Population (2022) | 2,722,289 |
Annual population growth rate (2022) | -1.40% |
Population density (people/sq km) | 43 |
Net migration | -32,780 |
Fertility rate | 1.7 |
Median age | 45 |
Urban population share | 71% |
Lithuania: Land cover and land use change data
Land area (sq km): 62,674 |
Tree cover (30%) Tree cover extent in 2000 (ha): 2,336,241 Tree cover extent as % of land area: 37.3% Tree cover loss from 2001-20 (ha): 349,123 Tree cover extent as % of 2000 tree cover: 14.9% |
Lithuania: Annual forest and tree cover data
Lithuania: Tree cover loss by year
30% tree cover threshold; all figures in hectares
Year: Hectares 2001: 7,962 2002: 10,345 2003: 8,916 2004: 13,101 2005: 20,385 2006: 17,450 2007: 16,037 2008: 15,203 2009: 14,408 2010: 21,667 2011: 21,735 2012: 17,603 2013: 13,923 2014: 15,972 2015: 15,794 2016: 25,532 2017: 25,804 2018: 19,750 2019: 24,565 2020: 22,971 |
Tree cover loss by year at the subnational level (administrative level 1)
Sub-national admin area 1 | Tree cover extent (2001) ha | Tree cover loss (2001-05) ha | Tree cover loss (2006-10) ha | Tree cover loss (2011-15) ha | Tree cover loss (2016-20) ha | Tree cover loss (2001-20) ha | Tree cover loss (2001-20) % |
---|---|---|---|---|---|---|---|
Alytaus | 289,751 | 5,284 | 8,871 | 15,326 | 17,922 | 47,403 | 16.4% |
Vilniaus | 464,773 | 9,719 | 16,455 | 14,611 | 22,538 | 63,323 | 13.6% |
Kauno | 250,970 | 8,548 | 10,566 | 10,502 | 13,522 | 43,138 | 17.2% |
Klaipedos | 158,775 | 3,675 | 4,822 | 4,735 | 7,557 | 20,789 | 13.1% |
Marijampoles | 101,536 | 2,389 | 3,815 | 3,227 | 5,406 | 14,838 | 14.6% |
Panevezio | 234,459 | 7,531 | 10,027 | 8,614 | 12,377 | 38,550 | 16.4% |
Šiauliai | 238,958 | 8,735 | 10,837 | 9,815 | 12,486 | 41,872 | 17.5% |
Taurages | 140,288 | 4,081 | 5,553 | 5,071 | 7,613 | 22,318 | 15.9% |
Telšiai | 159,377 | 5,567 | 5,081 | 5,241 | 7,769 | 23,659 | 14.8% |
Utenos | 297,340 | 5,178 | 8,736 | 7,886 | 11,430 | 33,230 | 11.2% |
Tree cover loss by year at the subnational level (administrative level 2)
Sub-national admin area 1 | Admin area 2 | Tree cover extent (2000) ha | Tree cover loss (2001-05) ha | Tree cover loss (2006-10) ha | Tree cover loss (2011-15) ha | Tree cover loss (2016-20) ha | Tree cover loss (2001-20) ha | Tree cover loss (2001-20) % |
---|---|---|---|---|---|---|---|---|
Utenos | Zarasų | 60,330 | 1,221 | 1,799 | 1,523 | 2,031 | 6,575 | 10.9% |
Alytaus | Druskininkų | 1,475 | 4 | 19 | 4 | 10 | 37 | 2.5% |
Alytaus | Lazdijų | 68,281 | 1,166 | 1,660 | 1,974 | 3,748 | 8,549 | 12.5% |
Alytaus | Varėnos | 175,430 | 3,366 | 6,078 | 11,618 | 12,331 | 33,394 | 19.0% |
Vilniaus | Šalčininkų | 74,735 | 1,694 | 3,022 | 2,339 | 3,354 | 10,410 | 13.9% |
Vilniaus | Širvintų | 30,934 | 775 | 1,071 | 913 | 1,567 | 4,326 | 14.0% |
Vilniaus | Švenčionių | 106,194 | 2,539 | 4,417 | 3,496 | 5,651 | 16,103 | 15.2% |
Vilniaus | Trakų | 84,325 | 1,527 | 2,485 | 2,787 | 3,956 | 10,755 | 12.8% |
Vilniaus | Ukmergės | 48,206 | 1,439 | 2,114 | 1,811 | 2,745 | 8,110 | 16.8% |
Vilniaus | Vilniaus | 120,380 | 1,745 | 3,347 | 3,264 | 5,265 | 13,620 | 11.3% |
Kauno | Birštono | 882 | 8 | 4 | 3 | 6 | 22 | 2.5% |
Kauno | Jonavos | 36,274 | 1,373 | 1,534 | 1,405 | 2,501 | 6,814 | 18.8% |
Kauno | Kaišiadorių | 44,515 | 1,603 | 1,963 | 1,999 | 2,213 | 7,777 | 17.5% |
Kauno | Kauno | 54,812 | 1,956 | 2,703 | 2,423 | 2,853 | 9,935 | 18.1% |
Kauno | Kėdainių | 41,926 | 1,745 | 1,890 | 1,615 | 2,604 | 7,854 | 18.7% |
Kauno | Prienų | 36,275 | 979 | 1,410 | 1,928 | 1,703 | 6,020 | 16.6% |
Kauno | Raseinių | 36,285 | 883 | 1,061 | 1,128 | 1,643 | 4,715 | 13.0% |
Klaipedos | Klaipėdos | 39,690 | 927 | 1,223 | 1,141 | 1,904 | 5,195 | 13.1% |
Klaipedos | Kretingos | 35,324 | 1,184 | 1,537 | 1,447 | 2,136 | 6,305 | 17.8% |
Klaipedos | Neringos | 7,236 | 35 | 272 | 192 | 575 | 1,073 | 14.8% |
Klaipedos | Palangos | 4,252 | 5 | 26 | 48 | 52 | 131 | 3.1% |
Klaipedos | Šilutės | 50,877 | 1,182 | 1,418 | 1,534 | 2,093 | 6,228 | 12.2% |
Klaipedos | Skuodo | 21,397 | 341 | 346 | 372 | 798 | 1,857 | 8.7% |
Marijampoles | Marijampolės | 43,721 | 1,060 | 1,723 | 1,354 | 2,253 | 6,389 | 14.6% |
Marijampoles | Šakių | 41,480 | 1,067 | 1,671 | 1,506 | 2,566 | 6,810 | 16.4% |
Marijampoles | Vilkaviškio | 16,335 | 262 | 422 | 367 | 587 | 1,638 | 10.0% |
Panevezio | Biržų | 44,255 | 1,650 | 2,119 | 1,702 | 2,494 | 7,965 | 18.0% |
Panevezio | Kupiškio | 32,436 | 1,092 | 1,486 | 1,167 | 1,542 | 5,287 | 16.3% |
Panevezio | Panevėžio | 74,253 | 2,339 | 3,389 | 2,917 | 4,369 | 13,014 | 17.5% |
Panevezio | Pasvalio | 22,108 | 561 | 801 | 649 | 1,308 | 3,320 | 15.0% |
Panevezio | Rokiškio | 61,407 | 1,889 | 2,233 | 2,179 | 2,663 | 8,964 | 14.6% |
Šiauliai | Akmenės | 35,092 | 1,285 | 1,230 | 1,328 | 1,778 | 5,620 | 16.0% |
Šiauliai | Joniškio | 21,549 | 684 | 1,050 | 859 | 1,336 | 3,930 | 18.2% |
Šiauliai | Kelmės | 53,151 | 1,349 | 1,539 | 1,402 | 1,894 | 6,184 | 11.6% |
Šiauliai | Pakruojo | 25,392 | 845 | 1,153 | 1,214 | 1,755 | 4,967 | 19.6% |
Šiauliai | Radviliškio | 41,241 | 1,468 | 1,844 | 1,704 | 2,296 | 7,311 | 17.7% |
Šiauliai | Šiaulių | 62,533 | 3,104 | 4,022 | 3,308 | 3,426 | 13,861 | 22.2% |
Taurages | Jurbarko | 58,653 | 1,882 | 2,771 | 2,511 | 3,681 | 10,844 | 18.5% |
Taurages | Šilalės | 35,337 | 926 | 919 | 945 | 1,413 | 4,203 | 11.9% |
Taurages | Tauragės | 46,298 | 1,273 | 1,862 | 1,615 | 2,519 | 7,270 | 15.7% |
Telšiai | Mažeikių | 30,543 | 937 | 924 | 1,002 | 1,460 | 4,323 | 14.2% |
Telšiai | Plungės | 76,513 | 2,917 | 2,667 | 2,546 | 3,988 | 12,118 | 15.8% |
Telšiai | Telšių | 52,321 | 1,713 | 1,490 | 1,693 | 2,321 | 7,218 | 13.8% |
Utenos | Anykščių | 65,701 | 1,509 | 2,306 | 2,375 | 3,261 | 9,450 | 14.4% |
Utenos | Ignalinos | 61,643 | 1,156 | 2,100 | 1,963 | 2,650 | 7,869 | 12.8% |
Utenos | Molėtų | 59,235 | 718 | 1,440 | 1,153 | 1,950 | 5,260 | 8.9% |
Utenos | Utenos | 50,431 | 575 | 1,092 | 871 | 1,538 | 4,076 | 8.1% |
Alytaus | Alytaus | 44,566 | 748 | 1,114 | 1,729 | 1,832 | 5,424 | 12.2% |
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2019 forest data for Lithuania | Archived forest data for Lithuania | Forest data for Lithuania
Data Source: Tree cover loss: Hansen/UMD/Google/USGS/NASA via Global Forest Watch. Administrative boundaries: Global Administrative Areas database (GADM), version 3.6.
Citation: Mongabay. "Deforestation statistics for [selected country name]". Accessed on [date] from worldrainforests.com.
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