Datasets:

sweetapricity
/

bridgedeck-statsgo

bridge_id stringlengths 8 22	latitude float64 -8.5 98.2	longitude float64 -179.54 99.3	mukey float64 49.3k 3.49M ⌀	compname stringlengths 2 59 ⌀	comppct_r float64 17 100 ⌀	corsteel stringclasses 4 values	corcon stringclasses 4 values	drainagecl stringclasses 8 values	hydgrp stringclasses 7 values	taxorder stringclasses 12 values	silttotal_r float64 0 100 ⌀
01_000_00000000000S701	31.103333	-87.57	329,314	Benndale	55	Low	Moderate	Well drained	B	Ultisols	26.5
01_000_0000000000M0022	32.365556	-84.959444	126,216	Urban land	100	High	null	null	null	null	null
01_000_CEPSAMAL0000001	33.45	-87.35	331,515	Montevallo	55	Low	Moderate	Well drained	D	Inceptisols	40
01_000_CEPSAMAL0000002	33.158333	-88.27	331,287	Mantachie	42	High	Moderate	Somewhat poorly drained	B/D	Inceptisols	38.8
01_000_CEPSAMAL0000003	32.375	-86.783333	328,097	Water	100	null	null	null	null	null	null
01_000_DAPAMCANN0000H5	33.641353	-85.921381	523,296	Clarksville	55	Low	High	Somewhat excessively drained	A	Ultisols	40
01_000_DAPAMCRED000001	34.66	-86.605	523,169	Lindside	90	High	Moderate	Somewhat poorly drained	B/D	Inceptisols	62.1
01_000_DAPAMCRED000002	34.653333	-86.613333	523,171	Melvin	90	High	Moderate	Poorly drained	B/D	Inceptisols	62.1
01_000_DAPAMCRED000003	34.65	-86.616667	523,171	Melvin	90	High	Moderate	Poorly drained	B/D	Inceptisols	62.1
01_000_DAPAMCRED000004	34.618333	-86.63	523,085	Capshaw	90	High	Moderate	Moderately well drained	C	Alfisols	52.7
01_000_DAPAMCRED000005	34.595	-86.6	523,066	Allen	85	High	Moderate	Well drained	B	Ultisols	19.6
01_000_DAPAMCRED000006	34.626667	-86.63	523,171	Melvin	90	High	Moderate	Poorly drained	B/D	Inceptisols	62.1
01_000_DAPAMCRED000010	34.646667	-86.653333	3,086,634	Decatur	85	High	Moderate	Well drained	B	Ultisols	56
01_000_DAPAMCRED000012	34.645	-86.685	523,098	Cumberland	90	High	Moderate	Well drained	B	Ultisols	37.4
01_000_DAPAMCRED000013	34.641667	-86.691667	523,171	Melvin	90	High	Moderate	Poorly drained	B/D	Inceptisols	62.1
01_000_DAPAMCRED000014	34.645	-86.698333	523,182	Robertsville (Ketona)	85	High	Low	Poorly drained	C/D	Alfisols	60
01_000_DAPAMCRED000015	34.618333	-86.665	523,204	Water	95	null	null	null	null	null	null
01_000_DAPAMCRED000016	34.615	-86.698333	523,204	Water	95	null	null	null	null	null	null
01_000_DAPAMCRED000017	34.655	-86.653333	523,177	Ooltewah	85	High	Moderate	Somewhat poorly drained	B/D	Inceptisols	68.9
01_000_DAPAMCRED000018	34.668333	-86.663333	3,086,634	Decatur	85	High	Moderate	Well drained	B	Ultisols	56
01_000_DAPAMCRED000019	34.671667	-86.671667	523,100	Cumberland	85	High	Moderate	Well drained	B	Ultisols	37.4
01_000_DAPAMCRED000021	34.668333	-86.698333	523,169	Lindside	90	High	Moderate	Somewhat poorly drained	B/D	Inceptisols	62.1
01_000_DAPAMCRED000022	34.698333	-86.625	3,086,634	Decatur	85	High	Moderate	Well drained	B	Ultisols	56
01_000_DAPAMCRED000023	34.673333	-86.621667	523,085	Capshaw	90	High	Moderate	Moderately well drained	C	Alfisols	52.7
01_000_DAPAMCRED000024	34.678333	-86.62	523,171	Melvin	90	High	Moderate	Poorly drained	B/D	Inceptisols	62.1
01_000_DAPAMCRED000028	34.698333	-86.625	3,086,634	Decatur	85	High	Moderate	Well drained	B	Ultisols	56
01_001_000328	32.65	-86.483333	328,075	Myatt	45	High	Moderate	Poorly drained	B/D	Ultisols	20
01_001_001539	32.45	-86.466667	328,066	Harleston	85	High	High	Moderately well drained	B/D	Ultisols	28
01_001_001907	32.616153	-86.728767	328,075	Myatt	45	High	Moderate	Poorly drained	B/D	Ultisols	20
01_001_001908	32.6	-86.716667	3,116,213	Smithdale	45	Moderate	Moderate	Well drained	B	Ultisols	23.7
01_001_001909	32.610272	-86.718003	328,075	Myatt	45	High	Moderate	Poorly drained	B/D	Ultisols	20
01_001_001910	32.574586	-86.683294	328,061	Bibb	85	High	High	Poorly drained	B/D	Entisols	26.5
01_001_001911	32.568261	-86.675786	328,075	Myatt	45	High	Moderate	Poorly drained	B/D	Ultisols	20
01_001_002296	32.416667	-86.516667	328,085	Rains	85	High	Moderate	Poorly drained	B/D	Ultisols	20.2
01_001_002632	32.490061	-86.453533	328,093	Shubuta	36	High	Moderate	Well drained	C	Ultisols	20
01_001_002736	32.47	-86.490278	328,075	Myatt	45	High	Moderate	Poorly drained	B/D	Ultisols	20
01_001_002737	32.45	-86.466667	328,066	Harleston	85	High	High	Moderately well drained	B/D	Ultisols	28
01_001_002772	32.45	-86.466667	328,066	Harleston	85	High	High	Moderately well drained	B/D	Ultisols	28
01_001_002951	32.5	-86.533333	328,075	Myatt	45	High	Moderate	Poorly drained	B/D	Ultisols	20
01_001_003041	32.456667	-86.778333	3,116,206	Luverne	50	Moderate	High	Well drained	C	Ultisols	19.5
01_001_003042	32.45	-86.733333	328,061	Bibb	85	High	High	Poorly drained	B/D	Entisols	26.5
01_001_003529	32.535767	-86.866619	328,082	Osier	45	High	High	Poorly drained	A/D	Entisols	9.2
01_001_003747	32.65	-86.733333	3,116,211	Heidel	50	Moderate	High	Well drained	A	Ultisols	22
01_001_003779	32.6	-86.583333	328,092	Saffell	85	Moderate	Moderate	Well drained	B	Ultisols	19.6
01_001_004008	32.433333	-86.45	328,071	Lucedale	90	Moderate	High	Well drained	B	Ultisols	27.6
01_001_004760	32.425628	-86.412269	328,081	Ochrepts	85	Low	Moderate	Well drained	A	Inceptisols	42
01_001_004761	32.425653	-86.411719	328,081	Ochrepts	85	Low	Moderate	Well drained	A	Inceptisols	42
01_001_005074	32.433333	-86.45	328,071	Lucedale	90	Moderate	High	Well drained	B	Ultisols	27.6
01_001_005258	32.533333	-86.516667	3,116,211	Heidel	50	Moderate	High	Well drained	A	Ultisols	22
01_001_005427	32.55	-86.8	328,057	Alaga	85	Low	High	Somewhat excessively drained	A	Entisols	9.2
01_001_005428	32.579	-86.796544	328,061	Bibb	85	High	High	Poorly drained	B/D	Entisols	26.5
01_001_005475	32.574256	-86.681825	328,061	Bibb	85	High	High	Poorly drained	B/D	Entisols	26.5
01_001_005503	32.6	-86.666667	3,116,211	Heidel	50	Moderate	High	Well drained	A	Ultisols	22
01_001_005504	32.6	-86.683333	3,116,212	Heidel	50	Moderate	High	Well drained	A	Ultisols	22
01_001_005803	32.433333	-86.45	328,071	Lucedale	90	Moderate	High	Well drained	B	Ultisols	27.6
01_001_005804	32.438333	-86.44	328,093	Shubuta	36	High	Moderate	Well drained	C	Ultisols	20
01_001_005805	32.438333	-86.433333	328,093	Shubuta	36	High	Moderate	Well drained	C	Ultisols	20
01_001_006191	32.5	-86.583333	328,074	Lucy	85	Moderate	Moderate	Well drained	B	Ultisols	9.2
01_001_006192	32.483333	-86.55	3,116,206	Luverne	50	Moderate	High	Well drained	C	Ultisols	19.5
01_001_006248	32.416667	-86.5	328,058	Altavista	85	High	Moderate	Moderately well drained	C	Ultisols	39.7
01_001_006249	32.666667	-86.683333	328,075	Myatt	45	High	Moderate	Poorly drained	B/D	Ultisols	20
01_001_006277	32.596517	-86.869092	328,075	Myatt	45	High	Moderate	Poorly drained	B/D	Ultisols	20
01_001_006649	32.666667	-86.433333	3,116,214	Smithdale	45	Moderate	Moderate	Well drained	B	Ultisols	23.7
01_001_006650	32.688469	-86.415186	3,116,397	Boykin	35	Moderate	Moderate	Well drained	A	Ultisols	12
01_001_006776	32.65	-86.483333	328,075	Myatt	45	High	Moderate	Poorly drained	B/D	Ultisols	20
01_001_006777	32.656111	-86.521389	3,272,037	Blanton	60	Moderate	High	Somewhat excessively drained	A	Ultisols	8.8
01_001_006778	32.665	-86.503333	328,060	Benndale	85	Low	Moderate	Well drained	A	Ultisols	8.8
01_001_006779	32.666667	-86.5	3,116,212	Heidel	50	Moderate	High	Well drained	A	Ultisols	22
01_001_006969	32.7	-86.65	3,116,397	Boykin	35	Moderate	Moderate	Well drained	A	Ultisols	12
01_001_006970	32.633333	-86.666667	3,116,397	Boykin	35	Moderate	Moderate	Well drained	A	Ultisols	12
01_001_006971	32.633333	-86.666667	3,116,397	Boykin	35	Moderate	Moderate	Well drained	A	Ultisols	12
01_001_006972	32.633333	-86.666667	3,116,397	Boykin	35	Moderate	Moderate	Well drained	A	Ultisols	12
01_001_007024	32.5	-86.7	3,272,037	Blanton	60	Moderate	High	Somewhat excessively drained	A	Ultisols	8.8
01_001_007025	32.5	-86.7	3,272,037	Blanton	60	Moderate	High	Somewhat excessively drained	A	Ultisols	8.8
01_001_007026	32.5	-86.7	3,272,037	Blanton	60	Moderate	High	Somewhat excessively drained	A	Ultisols	8.8
01_001_007027	32.568928	-86.511214	328,075	Myatt	45	High	Moderate	Poorly drained	B/D	Ultisols	20
01_001_007066	32.572044	-86.504789	328,075	Myatt	45	High	Moderate	Poorly drained	B/D	Ultisols	20
01_001_007361	32.654356	-86.585342	328,075	Myatt	45	High	Moderate	Poorly drained	B/D	Ultisols	20
01_001_007898	32.383333	-86.783333	3,272,044	Sumter	60	High	Low	Well drained	C	Inceptisols	60
01_001_007938	32.463978	-86.638858	328,085	Rains	85	High	Moderate	Poorly drained	B/D	Ultisols	20.2
01_001_007990	32.525	-86.4	329,279	Orangeburg	90	Moderate	Moderate	Well drained	A	Ultisols	26.2
01_001_008262	32.409278	-86.786461	3,272,042	Brantley	55	Moderate	Moderate	Well drained	C	Alfisols	20.8
01_001_008335	32.416667	-86.55	328,072	Lucedale	90	Moderate	High	Well drained	B	Ultisols	27.6
01_001_008557	32.566667	-86.466667	328,088	Ruston	85	Low	Moderate	Well drained	A	Ultisols	19.8
01_001_008558	32.6	-86.466667	328,078	Norfolk	85	High	Moderate	Well drained	B	Ultisols	26
01_001_008559	32.623258	-86.488444	3,272,037	Blanton	60	Moderate	High	Somewhat excessively drained	A	Ultisols	8.8
01_001_008660	32.549431	-86.457753	3,116,206	Luverne	50	Moderate	High	Well drained	C	Ultisols	19.5
01_001_009760	32.616997	-86.424947	328,075	Myatt	45	High	Moderate	Poorly drained	B/D	Ultisols	20
01_001_009761	32.6	-86.4	329,270	Jamison	90	Moderate	Moderate	Well drained	B	Entisols	26.4
01_001_010062	32.65795	-86.492919	328,075	Myatt	45	High	Moderate	Poorly drained	B/D	Ultisols	20
01_001_010077	32.583333	-86.4	3,272,036	Smithdale	45	Moderate	Moderate	Well drained	B	Ultisols	23.7
01_001_010330	32.670206	-86.680406	328,075	Myatt	45	High	Moderate	Poorly drained	B/D	Ultisols	20
01_001_010331	32.670528	-86.679828	328,075	Myatt	45	High	Moderate	Poorly drained	B/D	Ultisols	20
01_001_010674	32.515	-86.43	3,116,206	Luverne	50	Moderate	High	Well drained	C	Ultisols	19.5
01_001_010675	32.516747	-86.433439	3,116,206	Luverne	50	Moderate	High	Well drained	C	Ultisols	19.5
01_001_010676	32.539444	-86.462222	3,116,211	Heidel	50	Moderate	High	Well drained	A	Ultisols	22
01_001_011254	32.55	-86.6	3,116,212	Heidel	50	Moderate	High	Well drained	A	Ultisols	22
01_001_011436	32.55	-86.833333	328,073	Lucedale	85	Moderate	Moderate	Well drained	A	Ultisols	34.3
01_001_011577	32.6	-86.866667	3,116,213	Smithdale	45	Moderate	Moderate	Well drained	B	Ultisols	23.7
01_001_011837	32.633333	-86.666667	3,116,397	Boykin	35	Moderate	Moderate	Well drained	A	Ultisols	12

End of preview. Expand in Data Studio

Bridgedeck — STATSGO Soil Properties

Soil properties at ~906k US bridge locations, queried from the NRCS Soil Data Access (SDA) REST API using the STATSGO2/SSURGO national database.

Source

Database: NRCS Soil Data Access (SDA) — https://SDMDataAccess.sc.egov.usda.gov
Spatial data: STATSGO2 / SSURGO national map units
Query method: Point-in-polygon via SDA_Get_Mukey_from_intersection_with_WktWgs84
Coverage: All unique NBI bridge locations in CONUS (~906k points)

Schema

Column	Type	Description
`bridge_id`	str	Bridge identifier (`{state}_{county}_{structure}`)
`latitude`	float	Bridge latitude (WGS-84)
`longitude`	float	Bridge longitude (WGS-84)
`mukey`	str	STATSGO/SSURGO map unit key
`compname`	str	Dominant soil component name
`comppct_r`	int	Component percentage of map unit
`corsteel`	str	Corrosion potential for steel (High/Moderate/Low)
`corcon`	str	Corrosion potential for concrete (High/Moderate/Low)
`drainagecl`	str	Drainage class (Well drained / Somewhat poorly drained / etc.)
`hydgrp`	str	Hydrologic group (A/B/C/D) — relates to water retention
`taxorder`	str	Soil taxonomy order (Mollisols, Alfisols, etc.)
`silttotal_r`	float	Surface horizon silt percentage (%) — >50% indicates frost susceptibility

Derived Features

The ETL script (statsgo_clean.py) derives:

soil_type: Frost susceptibility classification based on silt content and hydrologic group

Notes

Urban bridges (~30%) return empty soil data ("Urban land" has no soil properties)
These receive NaN in the derived features — XGBoost handles NaN natively
Data is static (soil properties don't change year to year)

Related Datasets

bridgedeck-nbi — bridge locations used for spatial query
bridgedeck-elevation — complementary physical property

Citation

USDA-NRCS. Soil Survey Staff. Web Soil Survey. https://websoilsurvey.sc.egov.usda.gov/

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