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stringlengths
5
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iso_3166_2
stringlengths
4
6
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adm0_a3
stringclasses
240 values
country
stringclasses
242 values
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wikidata
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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
End of preview. Expand in Data Studio

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_cover is 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 a1 for 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_2020 and pop_plate100_2020 are now whole numbers, rounded to the nearest person from the fractional GHSL gridded estimates. 2,192 of 4,182 rows in admin1_ground had a fractional value: 1,684 in coast, 912 in plate and 309 in volcano. In features_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 (Gbapolu LR-GP, River Gee LR-RG, Tadzhikistan Territories TJ-RA). The codes now match Lilambd/world-hazard admin1 row for row.

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