Datasets:
a1 stringlengths 5 9 | iso_3166_2 stringlengths 4 6 ⌀ | adm0_a3 stringclasses 240
values | country stringclasses 242
values | name stringlengths 2 44 ⌀ | wikidata stringlengths 3 9 ⌀ | lat float64 -83.04 78.8 | lon float64 -178.72 180 | cell_05deg int64 16.2k 249k | pop_volcano50_2020 int64 0 37.2M | pop_coast10_2020 int64 0 46.4M | pop_plate100_2020 int64 0 67.4M | coast_km_popw float64 0 2.25k ⌀ | plate_km_popw float64 6.74 3.5k ⌀ | built_2025 float64 0 9.48k | soc_0_5 float64 2.21 364 ⌀ | ph_0_5 float64 4.14 8.55 ⌀ | ocs_0_30 float64 1.15 13.8 ⌀ | macro_cover float64 0 1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
ABW-5150 | null | ABW | Aruba | Aruba | Q21203 | 12.5147 | -69.9689 | 111,100 | 0 | 101,023 | 101,023 | 2.647174 | 23.495813 | 20.659488 | 28.019227 | 7.243416 | 3.738142 | 1 |
AFG-1741 | AF-BDG | AFG | Afghanistan | Badghis | Q172052 | 35.2699 | 63.8495 | 78,967 | 0 | 0 | 0 | 862.563876 | 691.485983 | 4.211772 | 19.136866 | 7.570501 | 4.685411 | 0 |
AFG-1742 | AF-HER | AFG | Afghanistan | Hirat | Q182844 | 34.1551 | 62.4845 | 80,404 | 0 | 0 | 0 | 790.173402 | 693.530571 | 36.16848 | 8.422966 | 7.837863 | 2.876564 | 0 |
AFG-1743 | AF-BAM | AFG | Afghanistan | Bamyan | Q171382 | 34.9693 | 67.2365 | 79,694 | 0 | 0 | 0 | 1,006.380185 | 385.585197 | 0.516006 | 36.422839 | 7.441862 | 4.510114 | 0 |
AFG-1744 | AF-BAL | AFG | Afghanistan | Balkh | Q121104 | 36.6851 | 67.2185 | 76,814 | 0 | 0 | 0 | 1,149.23761 | 529.922214 | 72.219828 | 9.650122 | 7.822474 | 3.11672 | 0 |
AFG-1745 | AF-FYB | AFG | Afghanistan | Faryab | Q173830 | 35.8043 | 64.7678 | 78,249 | 0 | 0 | 0 | 961.766799 | 655.402701 | 14.702297 | 17.922958 | 7.661722 | 4.33201 | 0 |
AFG-1746 | AF-JOW | AFG | Afghanistan | Jawzjan | Q183036 | 36.8971 | 65.9617 | 76,811 | 0 | 0 | 0 | 1,051.792611 | 612.800765 | 22.180717 | 10.188464 | 7.81561 | 3.245015 | 0 |
AFG-1747 | AF-GHO | AFG | Afghanistan | Ghor | Q186392 | 34.002 | 64.9224 | 80,409 | 0 | 0 | 0 | 947.613177 | 508.310514 | 0.914085 | 16.12048 | 7.595413 | 3.73725 | 0 |
AFG-1748 | AF-SAR | AFG | Afghanistan | Sari Pul | Q182487 | 35.7062 | 66.2158 | 78,252 | 0 | 0 | 0 | 1,078.498023 | 549.619253 | 5.609824 | 23.193832 | 7.616615 | 4.300583 | 0 |
AFG-1749 | AF-FRA | AFG | Afghanistan | Farah | Q180330 | 32.5314 | 62.6498 | 82,565 | 0 | 0 | 0 | 775.875104 | 558.029214 | 9.796958 | 4.338408 | 7.942444 | 1.946039 | 0 |
AFG-1750 | AF-HEL | AFG | Afghanistan | Hilmand | Q173821 | 30.9278 | 63.9824 | 85,447 | 0 | 0 | 0 | 700.925405 | 356.02335 | 12.872821 | 3.490827 | 8.017796 | 1.785669 | 0 |
AFG-1751 | AF-NIM | AFG | Afghanistan | Nimroz | Q183021 | 30.7528 | 62.2069 | 85,444 | 0 | 0 | 0 | 619.939612 | 510.695402 | 8.464761 | 3.90323 | 8.157751 | 1.534035 | 0 |
AFG-1752 | AF-URU | AFG | Afghanistan | Uruzgan | Q183028 | 32.807 | 66.0947 | 82,572 | 0 | 0 | 0 | 792.426293 | 352.750051 | 2.814798 | 9.571389 | 7.715622 | 2.737705 | 0 |
AFG-1753 | AF-URU | AFG | Afghanistan | Uruzgan | Q183028 | 33.8446 | 66.3011 | 81,132 | 0 | 0 | 0 | 896.951993 | 399.645 | 0.210848 | 14.917906 | 7.641024 | 3.597841 | 0 |
AFG-1754 | AF-KAN | AFG | Afghanistan | Kandahar | Q173808 | 31.135 | 65.7163 | 84,731 | 0 | 0 | 0 | 651.929631 | 238.615888 | 32.786422 | 3.492989 | 7.890258 | 2.120388 | 0 |
AFG-1755 | AF-ZAB | AFG | Afghanistan | Zabul | Q139126 | 32.4033 | 67.1401 | 83,294 | 0 | 0 | 0 | 742.982532 | 249.627587 | 3.273528 | 8.493344 | 7.746955 | 2.802409 | 0 |
AFG-1757 | AF-GHA | AFG | Afghanistan | Ghazni | Q180415 | 33.4079 | 67.8006 | 81,855 | 0 | 0 | 0 | 864.20602 | 239.811619 | 16.223064 | 16.06771 | 7.524265 | 3.542909 | 0 |
AFG-1758 | AF-KHO | AFG | Afghanistan | Khost | Q185752 | 33.363 | 69.8211 | 81,859 | 0 | 0 | 154,831 | 920.432395 | 106.677547 | 44.925307 | 23.66379 | 7.377158 | 3.943056 | 0 |
AFG-1759 | AF-PIA | AFG | Afghanistan | Paktika | Q185575 | 32.5106 | 68.651 | 82,577 | 0 | 0 | 14,333 | 838.151574 | 148.089752 | 9.149758 | 9.096871 | 7.619539 | 2.790009 | 0 |
AFG-1760 | AF-BDS | AFG | Afghanistan | Badakhshan | Q165376 | 36.781 | 70.8036 | 76,821 | 0 | 0 | 0 | 1,331.104812 | 320.720473 | 10.778766 | 67.57122 | 7.039688 | 5.533907 | 0 |
AFG-1761 | AF-NUR | AFG | Afghanistan | Nuristan | Q167485 | 35.2898 | 70.7567 | 78,981 | 0 | 0 | 0 | 1,143.659011 | 161.075652 | 0.941354 | 90.846777 | 6.486596 | 5.905356 | 0 |
AFG-1762 | AF-KNR | AFG | Afghanistan | Kunar | Q188147 | 34.9013 | 71.1061 | 79,702 | 0 | 0 | 41,960 | 1,118.693853 | 115.311504 | 14.92187 | 47.995346 | 6.921511 | 4.999954 | 0 |
AFG-1763 | AF-KDZ | AFG | Afghanistan | Kunduz | Q186418 | 36.9043 | 68.682 | 76,817 | 0 | 0 | 0 | 1,261.225377 | 400.680598 | 41.648304 | 13.742814 | 7.714884 | 3.408431 | 0 |
AFG-1764 | AF-NAN | AFG | Afghanistan | Nangarhar | Q178471 | 34.2153 | 70.3027 | 80,420 | 0 | 0 | 518,888 | 1,039.661312 | 122.161282 | 91.942175 | 26.955894 | 7.339802 | 3.930458 | 0 |
AFG-1765 | AF-TAK | AFG | Afghanistan | Takhar | Q186395 | 36.8335 | 69.8124 | 76,819 | 0 | 0 | 0 | 1,285.803967 | 358.032456 | 27.807325 | 42.447188 | 7.269463 | 5.114762 | 0 |
AFG-1766 | AF-BGL | AFG | Afghanistan | Baghlan | Q170309 | 35.8588 | 68.9831 | 78,257 | 0 | 0 | 0 | 1,168.020341 | 343.633079 | 16.790087 | 42.506169 | 7.300951 | 4.770139 | 0 |
AFG-1767 | AF-KAB | AFG | Afghanistan | Kabul | Q188933 | 34.4949 | 69.3846 | 80,418 | 0 | 0 | 0 | 1,021.392974 | 236.574737 | 77.670495 | 20.020226 | 7.529896 | 3.758988 | 0 |
AFG-1768 | AF-KAP | AFG | Afghanistan | Kapisa | Q173816 | 34.9748 | 69.6626 | 79,699 | 0 | 0 | 0 | 1,078.069345 | 234.319066 | 5.796957 | 34.554193 | 7.297296 | 4.340679 | 0 |
AFG-1769 | AF-PAR | AFG | Afghanistan | Parwan | Q188157 | 35.3368 | 69.7587 | 78,979 | 0 | 0 | 0 | 1,115.054959 | 253.375523 | 0.909652 | 87.771556 | 6.569912 | 5.857441 | 0 |
AFG-1770 | AF-LAG | AFG | Afghanistan | Laghman | Q185442 | 34.7273 | 70.2085 | 79,700 | 0 | 0 | 0 | 1,069.650742 | 166.319325 | 16.184419 | 37.117132 | 7.172975 | 4.331612 | 0 |
AFG-1771 | AF-LOG | AFG | Afghanistan | Logar | Q6667298 | 34.0857 | 69.3047 | 80,418 | 0 | 0 | 0 | 959.177746 | 209.494795 | 6.195674 | 20.398146 | 7.492631 | 3.683726 | 0 |
AFG-1772 | AF-PAR | AFG | Afghanistan | Parwan | Q188157 | 34.9984 | 68.8995 | 79,697 | 0 | 0 | 0 | 1,070.366297 | 271.06842 | 8.776424 | 44.391054 | 7.267764 | 4.680724 | 0 |
AFG-1773 | AF-SAM | AFG | Afghanistan | Samangan | Q183015 | 36.0506 | 67.683 | 77,535 | 0 | 0 | 0 | 1,168.724063 | 438.67244 | 5.207495 | 24.387903 | 7.600685 | 4.151521 | 0 |
AFG-1774 | AF-WAR | AFG | Afghanistan | Wardak | Q183056 | 34.4269 | 68.1087 | 80,416 | 0 | 0 | 0 | 969.271909 | 271.339185 | 3.43588 | 31.37931 | 7.449858 | 4.391975 | 0 |
AFG-3413 | AF-PKA | AFG | Afghanistan | Paktya | Q182493 | 33.575 | 69.3826 | 81,138 | 0 | 0 | 0 | 935.269228 | 158.338263 | 24.62416 | 24.354737 | 7.214658 | 4.177677 | 0 |
AGO-1874 | AO-LNO | AGO | Angola | Lunda Norte | Q214221 | -8.4722 | 19.6268 | 141,519 | 0 | 0 | 0 | 698.856735 | 1,108.380816 | 37.636893 | 20.125654 | 5.436605 | 3.694794 | 0 |
AGO-1875 | AO-LSU | AGO | Angola | Lunda Sul | Q219648 | -10.2341 | 20.3821 | 144,400 | 0 | 0 | 0 | 724.796888 | 1,094.550931 | 22.279935 | 17.453367 | 5.475752 | 3.089275 | 0 |
AGO-1876 | AO-MAL | AGO | Angola | Malanje | Q219072 | -9.14742 | 16.9731 | 142,953 | 0 | 0 | 0 | 320.946325 | 1,492.917132 | 48.583903 | 18.899121 | 5.6562 | 3.099083 | 0 |
AGO-1877 | AO-BGO | AGO | Angola | Bengo | Q191299 | -8.99949 | 13.907 | 142,227 | 0 | 60,400 | 0 | 39.206739 | 1,766.001017 | 30.962624 | 27.702179 | 6.315276 | 3.92219 | 0 |
AGO-1878 | AO-CNO | AGO | Angola | Cuanza Norte | Q216834 | -9.6988 | 14.9458 | 143,669 | 0 | 0 | 0 | 170.172654 | 1,647.556589 | 20.220702 | 27.18093 | 5.676622 | 4.468319 | 0 |
AGO-1879 | AO-CUS | AGO | Angola | Cuanza Sul | Q216998 | -10.9232 | 15.0504 | 145,110 | 0 | 381,507 | 0 | 88.643492 | 1,734.636 | 104.086937 | 21.392399 | 6.08521 | 3.487026 | 0 |
AGO-1880 | AO-LUA | AGO | Angola | Luanda | Q190066 | -8.95941 | 13.3166 | 142,226 | 0 | 8,100,984 | 0 | 7.305188 | 1,813.323921 | 318.891352 | 32.731137 | 6.98376 | 3.594249 | 0 |
AGO-1881 | AO-UIG | AGO | Angola | Uíge | Q216972 | -6.95896 | 15.4475 | 139,350 | 0 | 0 | 0 | 236.869959 | 1,549.141021 | 65.733096 | 25.395102 | 5.273382 | 4.189322 | 0 |
AGO-1882 | AO-ZAI | AGO | Angola | Zaire | Q196674 | -6.78301 | 13.6096 | 139,347 | 0 | 423,026 | 0 | 65.356216 | 1,746.082786 | 29.644488 | 27.177443 | 5.662926 | 4.022075 | 0 |
AGO-1885 | AO-CAB | AGO | Angola | Cabinda | Q168787 | -4.80148 | 12.543 | 136,465 | 0 | 1,099,645 | 0 | 9.298194 | 1,858.329973 | 33.844417 | 32.877118 | 5.254386 | 3.766069 | 0 |
AGO-1886 | AO-BIE | AGO | Angola | Bié | Q213977 | -12.7997 | 17.4921 | 147,994 | 0 | 0 | 0 | 345.04978 | 1,544.335121 | 103.586837 | 16.602613 | 5.584317 | 2.63648 | 0 |
AGO-1887 | AO-BGU | AGO | Angola | Benguela | Q212786 | -12.7993 | 13.8119 | 147,987 | 0 | 1,236,458 | 0 | 52.57147 | 1,870.123057 | 115.593118 | 16.664453 | 6.422323 | 2.906296 | 0 |
AGO-1888 | AO-CCU | AGO | Angola | Cuando Cubango | Q215268 | -16.311 | 19.9218 | 153,039 | 0 | 0 | 0 | 593.939015 | 1,374.20371 | 28.673417 | 11.412658 | 6.175656 | 2.332748 | 0.147808 |
AGO-1889 | AO-CNN | AGO | Angola | Cunene | Q216987 | -16.6271 | 15.281 | 153,750 | 0 | 0 | 0 | 360.189095 | 1,514.081145 | 52.536249 | 8.975903 | 6.580854 | 2.05935 | 0.507585 |
AGO-1890 | AO-HUA | AGO | Angola | Huambo | Q218848 | -12.5587 | 15.6947 | 147,991 | 0 | 0 | 0 | 226.120986 | 1,684.802783 | 143.61683 | 18.833225 | 5.848254 | 3.07869 | 0 |
AGO-1891 | AO-HUI | AGO | Angola | Huíla | Q214572 | -14.7348 | 14.9844 | 150,869 | 0 | 0 | 0 | 202.361497 | 1,752.544822 | 174.753062 | 13.890828 | 6.024985 | 2.490727 | 0 |
AGO-1892 | AO-MOX | AGO | Angola | Moxico | Q173988 | -13.281 | 21.0033 | 148,722 | 0 | 0 | 0 | 768.118166 | 1,152.651405 | 45.030023 | 18.393863 | 5.639204 | 3.043326 | 0 |
AGO-1893 | AO-NAM | AGO | Angola | Namibe | Q216819 | -15.8249 | 12.6525 | 152,305 | 0 | 500,258 | 0 | 30.476845 | 1,881.607408 | 19.562138 | 9.091133 | 7.709382 | 2.252397 | 0 |
AIA-5115 | null | AIA | Anguilla | East End | null | 18.2622 | -62.9852 | 103,194 | 0 | 1,442 | 0 | 2.499456 | 137.943466 | 0.548127 | 72.700005 | 6.8 | 7 | 0 |
AIA-5118 | null | AIA | Anguilla | North Hill | null | 18.2243 | -63.074 | 103,193 | 0 | 8,945 | 0 | 2.500976 | 142.385254 | 2.471556 | 72.700005 | 6.8 | 7 | 0 |
ALB-1494 | AL-02 | ALB | Albania | Durrës | Q192853 | 41.5152 | 19.6522 | 69,519 | 0 | 264,209 | 0 | 4.819549 | 281.468222 | 30.742774 | 63.882758 | 7.185147 | 6.063934 | 0 |
ALB-1495 | AL-04 | ALB | Albania | Fier | Q231900 | 40.8112 | 19.6047 | 70,959 | 0 | 65,275 | 0 | 13.08264 | 227.900415 | 36.278679 | 55.122643 | 7.339552 | 5.505158 | 0 |
ALB-1498 | AL-10 | ALB | Albania | Shkodër | Q193438 | 42.2144 | 19.7573 | 68,799 | 0 | 23,409 | 0 | 21.230625 | 349.641519 | 23.673724 | 80.710283 | 6.494417 | 7.196757 | 0 |
ALB-1502 | AL-07 | ALB | Albania | Kukës | Q231896 | 42.0902 | 20.1933 | 68,800 | 0 | 0 | 0 | 70.952261 | 383.638023 | 6.21057 | 78.916895 | 6.528218 | 7.7282 | 0 |
ALB-1504 | AL-12 | ALB | Albania | Vlorë | Q192849 | 40.1908 | 19.7946 | 71,679 | 0 | 163,973 | 0 | 2.790079 | 178.854676 | 18.818745 | 60.308808 | 6.833561 | 5.980475 | 0 |
ALB-1521 | AL-06 | ALB | Albania | Korçë | Q193464 | 40.6138 | 20.6648 | 70,961 | 0 | 0 | 0 | 96.086731 | 250.53562 | 15.946029 | 64.040569 | 6.860354 | 5.80517 | 0 |
ALB-1523 | AL-01 | ALB | Albania | Berat | Q189296 | 40.6441 | 20.0865 | 70,960 | 0 | 0 | 0 | 38.841048 | 238.56718 | 11.346336 | 61.631872 | 6.900465 | 5.766034 | 0 |
ALB-1524 | AL-03 | ALB | Albania | Elbasan | Q193790 | 41.0299 | 20.1358 | 70,240 | 0 | 0 | 0 | 47.468697 | 276.295638 | 28.402559 | 64.050078 | 6.925636 | 5.890374 | 0 |
ALB-1525 | AL-05 | ALB | Albania | Gjirokastër | Q193454 | 40.1927 | 20.1868 | 71,680 | 0 | 523 | 0 | 26.189974 | 189.025703 | 9.885641 | 64.248836 | 6.487831 | 5.958939 | 0 |
ALB-1526 | AL-09 | ALB | Albania | Dibër | Q192866 | 41.608 | 20.1772 | 69,520 | 0 | 0 | 0 | 53.005831 | 334.019313 | 9.25356 | 75.834 | 6.673453 | 6.744047 | 0 |
ALB-1528 | AL-08 | ALB | Albania | Lezhë | Q193436 | 41.824 | 19.8649 | 69,519 | 0 | 97,729 | 0 | 6.296099 | 320.764974 | 12.022923 | 71.499233 | 6.778076 | 6.730681 | 0 |
ALB-1529 | AL-11 | ALB | Albania | Tiranë | Q229892 | 41.1326 | 19.8383 | 70,239 | 0 | 45,339 | 0 | 22.325971 | 286.132278 | 43.695997 | 63.008081 | 7.138332 | 5.934743 | 0 |
ALD-4810 | null | ALD | Aland | Jomala | null | 60.1395 | 19.8953 | 42,879 | 0 | 12,785 | 0 | 0 | 1,546.440418 | 1.433121 | 124.892179 | 5.314564 | 13.01004 | 0 |
ALD-4812 | null | ALD | Aland | Eckerö | null | 60.2169 | 19.5905 | 42,879 | 0 | 1,221 | 0 | 0 | 1,530.949542 | 0.162854 | 125.183412 | 5.595311 | 11.325238 | 0 |
ALD-4814 | null | ALD | Aland | Föglö | null | 60.0019 | 20.3479 | 42,880 | 0 | 272 | 0 | 0 | 1,566.894987 | 0.044377 | 147.833333 | 5.521744 | 12.147791 | 0 |
ALD-4818 | null | ALD | Aland | Lemland | null | 60.0449 | 20.1496 | 42,880 | 0 | 1,684 | 0 | 0 | 1,559.749172 | 0.100518 | 148.100006 | 5.485873 | 11.985874 | 0 |
ALD-4819 | null | ALD | Aland | Lumparland | null | 60.1022 | 20.2285 | 42,880 | 0 | 424 | 0 | 0 | 1,551.658569 | 0.061438 | 109 | 5.7 | 11.900001 | 0 |
ALD-4821 | null | ALD | Aland | Sottunga | null | 60.1333 | 20.6633 | 42,881 | 0 | 86 | 0 | 0 | 1,558.558472 | 0.020668 | null | 5.8 | 11.7 | 0 |
ALD-4822 | null | ALD | Aland | Kumlinge | null | 60.2647 | 20.8067 | 42,881 | 0 | 42 | 0 | 0 | 1,549.415801 | 0.007409 | 118.099998 | 5.6 | 13.1 | 0 |
ALD-4823 | null | ALD | Aland | Brändö | null | 60.4104 | 21.048 | 42,882 | 0 | 186 | 0 | 0 | 1,534.06189 | 0.028151 | null | 5.3 | 13.8 | 0 |
ALD-4824 | null | ALD | Aland | Kökar | null | 59.923 | 20.8903 | 43,601 | 0 | 208 | 0 | 0.0063 | 1,584.609123 | 0.054424 | null | null | null | 0 |
AND-4877 | AD-04 | AND | Andorra | La Massana | Q24276 | 42.55 | 1.47083 | 68,042 | 0 | 0 | 0 | 128.231308 | 656.427673 | 0.118446 | 124.176468 | 5.960545 | 8.042579 | 0 |
AND-4878 | AD-05 | AND | Andorra | Ordino | Q24272 | 42.6036 | 1.52437 | 68,043 | 0 | 0 | 0 | 120.043327 | 654.251465 | 1.269634 | 120.076294 | 6.055297 | 7.356185 | 0 |
AND-4879 | AD-02 | AND | Andorra | Canillo | Q24260 | 42.5842 | 1.60543 | 68,043 | 0 | 0 | 0 | 111.855309 | 652.179932 | 0.301951 | 124.186096 | 6.095224 | 7.745675 | 0 |
AND-4882 | AD-06 | AND | Andorra | Sant Julià de Lòria | Q24282 | 42.4511 | 1.47975 | 68,762 | 0 | 0 | 0 | 126.440948 | 645.734436 | 0.453338 | 101.887344 | 6.165784 | 6.748765 | 0 |
ARE-338 | AE-RK | ARE | United Arab Emirates | Ras Al Khaymah | Q170024 | 25.6964 | 55.9791 | 92,631 | 0 | 388,929 | 3,334 | 6.291666 | 111.760583 | 52.636633 | 10.238267 | 7.9235 | 1.940924 | 0 |
ARE-339 | AE-UQ | ARE | United Arab Emirates | Umm Al Qaywayn | Q175021 | 25.5218 | 55.7217 | 92,631 | 0 | 89,811 | 0 | 5.519483 | 140.952723 | 15.722545 | 8.696841 | 8.044205 | 2.081096 | 0 |
ARE-341 | AE-FU | ARE | United Arab Emirates | Fujayrah | Q4091 | 25.4752 | 56.2221 | 93,352 | 0 | 208,325 | 222,180 | 5.318446 | 88.041875 | 23.093516 | 13.638944 | 7.882159 | 1.839494 | 0 |
ARE-346 | AE-AJ | ARE | United Arab Emirates | Ajman | Q159477 | 25.3971 | 55.5411 | 93,351 | 0 | 143,140 | 0 | 4.712424 | 159.361542 | 7.876084 | 4.818068 | 7.995858 | 1.709937 | 0 |
ARE-347 | null | ARE | United Arab Emirates | Neutral Zone | null | 24.8164 | 56.0315 | 94,072 | 0 | 0 | 0 | 31.76945 | 124.541217 | 2.194438 | 5.619588 | 7.969238 | 1.681575 | 0 |
ARE-348 | AE-SH | ARE | United Arab Emirates | Sharjah | Q188810 | 25.172 | 55.7788 | 93,351 | 0 | 1,502,399 | 140,883 | 6.398147 | 152.212268 | 90.153358 | 5.601699 | 8.104911 | 1.743468 | 0 |
ARE-349 | AE-AZ | ARE | United Arab Emirates | Abu Dhabi | Q187712 | 23.5238 | 54.0817 | 95,508 | 0 | 1,209,875 | 0 | 43.66722 | 231.078584 | 280.402435 | 3.810464 | 7.932537 | 1.365537 | 0 |
ARE-350 | AE-DU | ARE | United Arab Emirates | Dubay | Q613 | 24.9508 | 55.3436 | 94,070 | 0 | 2,782,838 | 0 | 4.505003 | 177.151308 | 173.646447 | 3.519799 | 8.168978 | 1.618518 | 0 |
ARG-1271 | AR-Z | ARG | Argentina | Santa Cruz | Q44821 | -49.0428 | -69.6596 | 200,380 | 0 | 256,761 | 0 | 31.011215 | 440.039201 | 29.976607 | 35.41179 | 7.351532 | 4.891985 | 0 |
ARG-1272 | AR-V | ARG | Argentina | Tierra del Fuego | Q44832 | -54.3887 | -67.5329 | 207,584 | 0 | 145,727 | 148,480 | 1.820345 | 58.081967 | 7.003155 | 151.927264 | 6.079311 | 9.870003 | 0 |
ARG-1273 | AR-J | ARG | Argentina | San Juan | Q44805 | -30.97 | -68.6612 | 173,742 | 0 | 0 | 0 | 277.970861 | 392.232904 | 67.591247 | 26.826044 | 7.800358 | 2.887922 | 0.693198 |
ARG-1274 | AR-U | ARG | Argentina | Chubut | Q45007 | -43.9995 | -67.8642 | 192,464 | 0 | 398,216 | 0 | 26.428638 | 684.513474 | 53.075529 | 28.869388 | 7.566148 | 4.25611 | 0 |
ARG-1275 | AR-M | ARG | Argentina | Mendoza | Q44797 | -34.8484 | -68.5423 | 179,502 | 0 | 0 | 0 | 262.644083 | 389.868146 | 195.144076 | 28.212752 | 7.532232 | 3.236674 | 0.826688 |
ARG-1276 | AR-Q | ARG | Argentina | Neuquén | Q44800 | -38.3579 | -69.9833 | 184,540 | 15,373 | 0 | 0 | 295.784961 | 502.09635 | 58.017979 | 45.252594 | 7.103923 | 4.565185 | 0.856253 |
ARG-1295 | AR-B | ARG | Argentina | Buenos Aires | Q44754 | -36.6734 | -60.1133 | 182,399 | 0 | 5,395,958 | 0 | 38.966055 | 1,303.476796 | 1,288.868059 | 38.885202 | 7.006691 | 5.988594 | 0 |
ARG-1296 | AR-L | ARG | Argentina | La Pampa | Q44795 | -37.3861 | -65.8386 | 183,108 | 0 | 0 | 0 | 316.624268 | 836.429799 | 63.296576 | 17.72151 | 7.520953 | 2.677613 | 0.273036 |
ARG-1297 | AR-R | ARG | Argentina | Río Negro | Q44802 | -40.1261 | -67.3641 | 187,425 | 0 | 11,341 | 0 | 208.743254 | 584.2056 | 67.731113 | 16.60982 | 7.641501 | 2.917244 | 0.158123 |
ARG-1298 | AR-D | ARG | Argentina | San Luis | Q44818 | -33.9469 | -66.135 | 178,067 | 0 | 0 | 0 | 520.302947 | 648.862542 | 60.59795 | 14.359757 | 7.381496 | 3.062569 | 0.392271 |
ARG-1299 | AR-X | ARG | Argentina | Córdoba | Q44759 | -32.3275 | -63.7501 | 175,912 | 0 | 0 | 0 | 539.936703 | 823.261703 | 465.943903 | 22.140158 | 6.703231 | 4.411499 | 0 |
ARG-1300 | AR-K | ARG | Argentina | Catamarca | Q44756 | -26.7709 | -67.0086 | 167,985 | 0 | 0 | 0 | 486.387906 | 589.099361 | 45.333176 | 20.124004 | 7.580138 | 3.128413 | 0.088323 |
World Ground Ledger: how many people live near volcanoes, coasts and plate boundaries, and on what soil
🌐 日本語 · 中文 · Español · Português · Français · Deutsch · 한국어 · हिन्दी · العربية
- 日本語 — World Ground Ledger:火山・海岸・断層の近くに住む人口と土壌: 世界の4,182の州・省ごとに、火山・海岸・プレート境界の近くに何人が住み、どんな土壌の上にいるかを集計しました。
- 中文 — World Ground Ledger(全球地表暴露与土壤数据): 全球 4,182 个州和省中,有多少人居住在火山、海岸和板块边界附近,以及脚下是什么样的土壤。
- Español — World Ground Ledger (población expuesta y suelos por región): Cuántas personas viven cerca de volcanes, costas y límites de placas, y sobre qué suelo, en 4,182 estados y provincias del mundo.
- Português — World Ground Ledger: população perto de vulcões, costas e falhas: Quantas pessoas vivem perto de vulcões, do litoral e de limites de placas tectônicas, e sobre que tipo de solo, em 4,182 estados e províncias do mundo.
- Français — World Ground Ledger : population exposée aux volcans, côtes et failles: Combien de personnes vivent près des volcans, des côtes et des frontières de plaques, et sur quel sol, pour 4,182 États et provinces du monde.
- Deutsch — World Ground Ledger: Bevölkerung an Vulkanen, Küsten und Plattengrenzen: Wie viele Menschen in der Nähe von Vulkanen, Küsten und Plattengrenzen leben und auf welchem Boden, für 4,182 Bundesstaaten und Provinzen der Welt.
- 한국어 — World Ground Ledger: 화산·해안·단층 인근 인구와 토양: 세계 4,182개 주·도별로 화산, 해안, 판 경계 가까이에 사는 인구와 그 땅의 토양을 정리했습니다.
- हिन्दी — World Ground Ledger (भूमि और जोखिम खाता): दुनिया के 4,182 राज्यों और प्रांतों में कितने लोग ज्वालामुखियों, तटों और प्लेट सीमाओं के पास रहते हैं, और किस मिट्टी पर।
- العربية — سجل الأرض والسكان (World Ground Ledger): كم عدد من يعيشون قرب البراكين والسواحل وحدود الصفائح التكتونية، وعلى أي تربة، في 4,182 ولاية ومقاطعة في العالم.
For 4,182 states, provinces and prefectures of the world, computed on a 0.1° land grid and summed per region:
| feature | unit | what |
|---|---|---|
pop_volcano50_2020 |
persons | people living within 50 km of a volcano with a recorded eruption (NOAA NCEI) |
pop_coast10_2020 |
persons | people living within 10 km of the coast |
pop_plate100_2020 |
persons | people living within 100 km of a tectonic plate boundary |
coast_km_popw |
km | population-weighted mean distance to the coast |
plate_km_popw |
km | population-weighted mean distance to a plate boundary |
built_2025 |
km² | built-up area in 2025 (GHSL nowcast) |
soc_0_5 |
g/kg | soil organic carbon, 0-5 cm, area mean |
ph_0_5 |
pH | soil pH in water, 0-5 cm, area mean |
ocs_0_30 |
kg/m² | soil organic carbon stock, 0-30 cm |
macro_cover |
share | share of the region covered by a Macrostrat geologic column (North and South America, Caribbean, New Zealand) |
Nothing is generated by a model. Population is GHSL 2020 on each grid cell; distances are to the nearest point.
Data as of 2026-10-04.
Quick start
from datasets import load_dataset
g = load_dataset("Lilambd/world-ground", "admin1_ground", split="train")
admin1_ground is one row per region (wide). features_long is the same in long form (a1, feature, value, year, unit, source).
What the numbers say
- 213 million people live within 50 km of an erupting volcano; the top regions are all on Java: West Java 37.2 M, East Java 18.2 M, Central Java 12.0 M.
- 1.29 billion people (16.6%) live within 10 km of the coast.
- 1.44 billion people (18.5%) live within 100 km of a plate boundary.
Shared keys
a1 is the same admin-1 id as in Lilambd/world-hazard and Lilambd/world-earth, so volcano and coast exposure join with earthquakes, warming and forest loss row by row. Also iso_3166_2, wikidata, adm0_a3, and cell_05deg (0.5° grid of the region's centre, row*720+col).
Gaps and known limits
- 414 of the 4,596 Natural Earth admin-1 regions have no row; the source grid model did not cover them.
- About 70 regions have a blank soil value: SoilGrids gave no value for their cells.
macro_coveris only meaningful in the Americas and New Zealand; elsewhere it is 0 because Macrostrat has no columns, not because there is no rock.- Seismic hazard (peak ground acceleration) and mine counts exist in the source model but are not included here: the hazard map is licensed for non-commercial use only, and the mine list has mixed sources. Earthquake counts per region are in world-hazard.
- Plate boundaries follow Bird (2003) PB2002; only computed distances and counts are shared, not the boundary geometry.
Use it in production
For AI agents: 14 more Lilambd open-data APIs (airports, regions, markets, security, travel and more), pay per call with x402 (from $0.005 USDC on Base, no signup), free sample with sample=1, also as an MCP server: https://api.lilambd.com/llms.txt
Need a per-place answer, a field that is not here, or a finer grid? Write to hello@lilambd.com.
Quick start: datasets, pandas, DuckDB
import pandas as pd # hf:// paths need `pip install huggingface_hub`
g = pd.read_csv("hf://datasets/Lilambd/world-ground/data/admin1_ground.csv",
keep_default_na=False, na_values=[""])
print(g.nlargest(10, "pop_volcano50_2020")[["country", "name", "pop_volcano50_2020"]])
print(g.groupby("country")["pop_coast10_2020"].sum().sort_values(ascending=False).head(10))
-- DuckDB 0.10+ reads hf:// paths directly
-- people near plate boundaries vs. M7+ counts (joins world-hazard on a1)
SELECT g.country, g.name, g.pop_plate100_2020, q.m6, q.m7
FROM 'hf://datasets/Lilambd/world-ground/data/admin1_ground.csv' g
JOIN 'hf://datasets/Lilambd/world-hazard/data/admin1_quake.csv' q USING (a1)
ORDER BY q.m7 DESC LIMIT 10;
A runnable notebook is in notebooks/quickstart.ipynb.
Use cases
- Exposure screening: people within 50 km of volcanoes, 10 km of coasts or 100 km of plate boundaries.
- Coastal and sea-level risk ranking per region.
- Soil features (organic carbon, pH) per region for agriculture or climate models.
- Combine with world-hazard and world-earth on
a1for multi-hazard indices.
Citation
@misc{lilambd2026_world_ground,
author = {Lilambd},
title = {Lilambd World Ground Ledger},
year = {2026},
publisher = {Hugging Face},
howpublished = {\url{https://huggingface.co/datasets/Lilambd/world-ground}},
url = {https://huggingface.co/datasets/Lilambd/world-ground}
}
Please also credit the original sources listed in this card.
Sources and licence
- Population and built-up: European Commission JRC, GHSL GHS-POP / GHS-BUILT-S R2023A. CC BY 4.0.
- Volcano locations: NOAA NCEI / WDS Global Volcano database. Public domain.
- Coastline and regions: Natural Earth 10m. Public domain.
- Plate boundaries: Bird, P. (2003) An updated digital model of plate boundaries, G-cubed 4(3), 1027 (PB2002). Distances only.
- Soil: ISRIC SoilGrids 2.0 (Poggio et al. 2021). CC BY 4.0.
- Geologic columns: Macrostrat API v2. CC BY 4.0.
The derived tables are released under CC BY 4.0. Please cite "Lilambd World Ground Ledger" and the original sources.
Maintained by Lilambd. Questions: hello@lilambd.com
Changelog
- 2026-11-03 quality fixes.
- The person counts
pop_volcano50_2020,pop_coast10_2020andpop_plate100_2020are now whole numbers, rounded to the nearest person from the fractional GHSL gridded estimates. 2,192 of 4,182 rows inadmin1_groundhad a fractional value: 1,684 in coast, 912 in plate and 309 in volcano. Infeatures_long, 2,905 rows had one. Totals moved by less than 15 people per column. Distance, area, soil and share columns are means or densities and were not changed. iso_3166_2: 138 Natural Earth placeholder codes (…~, e.g.AW-X01~) were cleared to empty. 3 of them were filled with the correct code (GbapoluLR-GP, River GeeLR-RG, Tadzhikistan TerritoriesTJ-RA). The codes now matchLilambd/world-hazardadmin1row for row.
- The person counts
Paid editions & related
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- Same data as an API (free sample=1, pay-per-call via x402): https://api.lilambd.com/llms.txt
- All Lilambd shops: https://payhip.com/Lilambd and https://lilambdcrossing.itch.io
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