One row per (U.S. county, NRI hazard family) for the 18 FEMA National Risk Index v1.20 (Dec 2025) hazards: hazard risk score (0–100 national percentile) and rating, expected annual loss (total/buildings/population/agriculture, USD) with each hazard's share of the county's total EAL and rank-in-county, dominant hazard per county + its EAL share, county EAL per capita and as a share of building value, Very-High rating ordinals, a multi-hazard hotspot flag (>=2 Very High hazards), social vulnerability and community resilience scores/ratings, and the hazard's documented period of record. 88 insufficient-data counties are kept as coverage-transparent null rows. Primary key: (county_fips, hazard_code). Join keys: county_fips (5-char GEOID), hazard_code. Cadence: quarterly (version-pinned; re-ingests as a no-op until FEMA publishes a new NRI version). FEMA NRI data is U.S. public domain — commercial_use = yes. Sample use: filter multi_hazard_hotspot and order by county_eal_per_capita_usd desc for the riskiest compound-risk counties per resident.

Les titres et les descriptions proviennent des sources de données, en anglais.

Source: FEMA National Risk Index county-hazard intelligence
Lignes: 58 176
Colonnes: 44
Cadence de la source: Trimestrielle
Dernière actualisation: 29 sept. 2026
Thème: environment

Colonne	Type	Description
as_of	string	Last complete UTC day of the fetch. Fixed per run, so an unchanged NRI release re-ingests as a no-op. (unit: date)
nri_version	string	Pinned NRI release version (1.20); the snapshot supersedes only when FEMA publishes a new version.
county_fips	string	5-char county GEOID (STCOFIPS zero-padded). Join key. (unit: id)
county_name	string	County/equivalent name from the NRI table.
county_type	string	FEMA county-equivalent type (County, Borough, Parish, Municipio, …).
state_name	string	State/territory name.
state_abbr	string	USPS state/territory abbreviation. (unit: code)
country	string	Canonical country name (United States).
country_code	string	ISO alpha-3 country code (USA). Join key. (unit: code)
hazard_code	string	NRI hazard prefix (AVLN, HRCN, WFIR, …). Join key. (unit: code)
hazard_name	string	Hazard family display name.
hazard_period_of_record	string	Documented period of record behind this hazard's frequency model (e.g. '1994-2023 (30 years)').
events_per_year	float	Hazard EVNTS / period_years — comparable across hazards with different record lengths. (unit: events/year)
annualized_frequency	float	FEMA annualized frequency (AFREQ) for the hazard in this county. (unit: 1/year)
exposed_population	float	Population exposed to the hazard (EXPP). (unit: people)
exposed_buildings	float	Buildings exposed to the hazard (EXPB). (unit: count)
exposed_area_sqkm	float	Area exposed to the hazard (EXP_AREA). (unit: km2)
eal_total_usd	float	Hazard expected annual loss, total (EALT), USD. (unit: USD)
eal_buildings_usd	float	Hazard EAL, buildings component (EALB), USD. Null where the hazard has no building component by design (e.g. drought). (unit: USD)
eal_population_usd	float	Hazard EAL, population component (EALP), USD. Null where not applicable by design. (unit: USD)
eal_agriculture_usd	float	Hazard EAL, agriculture component (EALA), USD. Null where not applicable by design. (unit: USD)
eal_share_of_county_total	float	This hazard's EALT / the county's total EAL (EAL_VALT). Null when the county EAL is null or zero. (unit: share)
hazard_rank_in_county	float	Rank of this hazard's EALT within its county (1 = largest loss driver); ties share the lower rank by code order; null when EALT is null. (unit: rank)
risk_score	float	FEMA hazard risk index score: national percentile 0–100 of the risk value. (unit: percentile)
risk_rating	string	FEMA categorical rating: Very High … Very Low, plus 'No Rating' / 'Not Applicable' / 'Insufficient Data'.
risk_rating_ordinal	float	Rating mapped to 1 (Very Low) … 5 (Very High); null for non-rated categories. (unit: ordinal)
risk_value	float	FEMA hazard risk index value (the scored quantity).
county_risk_score	float	FEMA composite National Risk Index score (0–100 national percentile), repeated per row. (unit: percentile)
county_risk_rating	string	FEMA composite rating, repeated per row.
county_eal_total_usd	float	County total expected annual loss (EAL_VALT), USD, repeated per row. (unit: USD)
county_eal_per_capita_usd	float	County EAL / population — comparable across counties of different sizes. (unit: USD/person)
county_eal_share_of_building_value_pct	float	100 x county building EAL / total building value: the expected yearly share of the built stock lost. (unit: percent)
county_dominant_hazard_code	string	Hazard code with the largest EALT in the county (ties -> alphabetical code). (unit: code)
county_dominant_hazard_name	string	Display name of the dominant hazard.
county_dominant_hazard_eal_share	float	Dominant hazard's EALT / county total EAL. (unit: share)
county_n_very_high_hazards	integer	Count of hazards rated Very High in the county. (unit: count)
multi_hazard_hotspot	boolean	True when >= 2 hazards are rated Very High — the compound-risk set. (unit: bool)
sovi_score	float	FEMA social-vulnerability score. (unit: score)
sovi_rating	string	FEMA social-vulnerability rating.
resl_score	float	FEMA community-resilience score. (unit: score)
resl_rating	string	FEMA community-resilience rating.
resl_value	float	FEMA community-resilience value.
source_url	string	Per-row provenance: the exact FEMA bulk-download URL. (unit: url)
row_hash	string	SHA-256 (16 hex) over the row's content fields; identical input yields an identical hash, so a re-run on an unchanged NRI release is a no-op. (unit: hash)

10 premières lignes d’exemple — un aperçu, pas le jeu de données complet.

as_of	nri_version	county_fips	county_name	county_type	state_name	state_abbr	country	country_code	hazard_code	hazard_name	hazard_period_of_record	events_per_year	annualized_frequency	exposed_population	exposed_buildings	exposed_area_sqkm	eal_total_usd	eal_buildings_usd	eal_population_usd	eal_agriculture_usd	eal_share_of_county_total	hazard_rank_in_county	risk_score	risk_rating	risk_rating_ordinal	risk_value	county_risk_score	county_risk_rating	county_eal_total_usd	county_eal_per_capita_usd	county_eal_share_of_building_value_pct	county_dominant_hazard_code	county_dominant_hazard_name	county_dominant_hazard_eal_share	multi_hazard_hotspot	sovi_score	sovi_rating	resl_score	resl_rating	resl_value	source_url	row_hash
2026-09-28	1.20	01001	Autauga	County	Alabama	AL	United States	USA	AVLN	Avalanche	1994-2023 (30 years)	—	—	—	—	—	—	—	—	—	—	—	—	Not Applicable	—	—	57,57	Relatively Low	19 756 570,051	336,202	0,135	IFLD	Riverine Flooding	0,555	false	38,041	Relatively Low	55,121	Relatively Moderate	2,495	https://www.fema.gov/about/reports-and-data/openfema/nri/v120/NRI_Table_Counties.zip	096d9d54221e2a7d
2026-09-28	1.20	01001	Autauga	County	Alabama	AL	United States	USA	CFLD	Coastal Flooding	Various (see documentation)	—	—	—	—	—	—	—	—	—	—	—	—	Not Applicable	—	—	57,57	Relatively Low	19 756 570,051	336,202	0,135	IFLD	Riverine Flooding	0,555	false	38,041	Relatively Low	55,121	Relatively Moderate	2,495	https://www.fema.gov/about/reports-and-data/openfema/nri/v120/NRI_Table_Counties.zip	7de9a054012f2d20
2026-09-28	1.20	01001	Autauga	County	Alabama	AL	United States	USA	CWAV	Cold Wave	2005-2024 (19 years)	0,368	0,368	58 764	10 241 406 107	610,471	380 166,587	3 053,589	0,027	13 096,649	0,019	8	28,181	Relatively Low	2	394 681,8	57,57	Relatively Low	19 756 570,051	336,202	0,135	IFLD	Riverine Flooding	0,555	false	38,041	Relatively Low	55,121	Relatively Moderate	2,495	https://www.fema.gov/about/reports-and-data/openfema/nri/v120/NRI_Table_Counties.zip	b81baf6cafd88b6d
2026-09-28	1.20	01001	Autauga	County	Alabama	AL	United States	USA	DRGT	Drought	2000-2025 (25 years)	31,36	25,161	—	—	610,471	106 181,584	—	—	106 181,584	0,005	10	45,642	Relatively Low	2	110 235,723	57,57	Relatively Low	19 756 570,051	336,202	0,135	IFLD	Riverine Flooding	0,555	false	38,041	Relatively Low	55,121	Relatively Moderate	2,495	https://www.fema.gov/about/reports-and-data/openfema/nri/v120/NRI_Table_Counties.zip	13210b58710a467d
2026-09-28	1.20	01001	Autauga	County	Alabama	AL	United States	USA	ERQK	Earthquake	2024 dataset	—	0,002	58 805	17 389 364 250,057	610,471	706 226,423	466 855,913	0,017	—	0,036	6	67,844	Relatively Low	2	733 190,99	57,57	Relatively Low	19 756 570,051	336,202	0,135	IFLD	Riverine Flooding	0,555	false	38,041	Relatively Low	55,121	Relatively Moderate	2,495	https://www.fema.gov/about/reports-and-data/openfema/nri/v120/NRI_Table_Counties.zip	4bced2bf1bda9184
2026-09-28	1.20	01001	Autauga	County	Alabama	AL	United States	USA	HAIL	Hail	1986-2023 (38 years)	2,642	2,647	58 764	10 241 406 107	610,471	212 257,435	125 690,006	0,006	4 931,998	0,011	9	44,307	Relatively Low	2	220 361,677	57,57	Relatively Low	19 756 570,051	336,202	0,135	IFLD	Riverine Flooding	0,555	false	38,041	Relatively Low	55,121	Relatively Moderate	2,495	https://www.fema.gov/about/reports-and-data/openfema/nri/v120/NRI_Table_Counties.zip	e4b16a6a49f64fe7
2026-09-28	1.20	01001	Autauga	County	Alabama	AL	United States	USA	HRCN	Hurricane	East 1851-2024 (173 years) / West 1949-2024 (76 years)	—	0,079	58 748,668	10 238 974 847,05	610,471	725 579,283	633 591,106	0,003	52 355,321	0,037	5	72,09	Relatively Low	2	753 282,765	57,57	Relatively Low	19 756 570,051	336,202	0,135	IFLD	Riverine Flooding	0,555	false	38,041	Relatively Low	55,121	Relatively Moderate	2,495	https://www.fema.gov/about/reports-and-data/openfema/nri/v120/NRI_Table_Counties.zip	ec29cc725653e3b5
2026-09-28	1.20	01001	Autauga	County	Alabama	AL	United States	USA	HWAV	Heat Wave	2005-2024 (19 years)	8,263	9,526	58 764	10 241 406 107	610,471	2 172 364,54	65,906	0,158	1 958,569	0,11	3	85,902	Relatively Moderate	3	2 255 308,008	57,57	Relatively Low	19 756 570,051	336,202	0,135	IFLD	Riverine Flooding	0,555	false	38,041	Relatively Low	55,121	Relatively Moderate	2,495	https://www.fema.gov/about/reports-and-data/openfema/nri/v120/NRI_Table_Counties.zip	485e42b167252790
2026-09-28	1.20	01001	Autauga	County	Alabama	AL	United States	USA	IFLD	Riverine Flooding	1996-2023 (28 years)	0,929	0,929	1 665,095	10 232 864 387,585	38,444	10 969 367,242	10 852 415,204	0,004	61 658,81	0,555	1	65,522	Relatively Low	2	11 388 190,758	57,57	Relatively Low	19 756 570,051	336,202	0,135	IFLD	Riverine Flooding	0,555	false	38,041	Relatively Low	55,121	Relatively Moderate	2,495	https://www.fema.gov/about/reports-and-data/openfema/nri/v120/NRI_Table_Counties.zip	5ae8debe63b2ed93
2026-09-28	1.20	01001	Autauga	County	Alabama	AL	United States	USA	ISTM	Ice Storm	1946-2014 (67 years)	0,418	0,402	58 764	10 241 406 107	610,471	61 833,91	49 468,681	0,001	—	0,003	11	42,986	Relatively Low	2	64 194,802	57,57	Relatively Low	19 756 570,051	336,202	0,135	IFLD	Riverine Flooding	0,555	false	38,041	Relatively Low	55,121	Relatively Moderate	2,495	https://www.fema.gov/about/reports-and-data/openfema/nri/v120/NRI_Table_Counties.zip	72e7f8748078ce7a

29 sept. 2026Actuelle
20260929T003308Z-73514488a678 · sha256 73514488a678…
58 176 lignes · premier instantané

Dirigez n’importe quel LLM vers le point d’accès des métadonnées — la documentation ci-dessus est aussi lisible par machine (JSON-LD + Croissant).

cURL

curl "https://datazimuts.com/v1/datasets/fema_nri_county_hazard/fema_nri_county_hazard_intel" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/fema_nri_county_hazard/fema_nri_county_hazard_intel").json()
print(ds["title"], ds["rows"], "rows")

# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
    print(row)

Point d’accès API : https://datazimuts.com/v1/datasets/fema_nri_county_hazard/fema_nri_county_hazard_intel

Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.

D’où viennent ces données et ce qui en a été fait. Le travail des autres apparaît sous forme de décomptes ; seuls les projets partagés sont nommés.

Citer cet instantané

Épinglé à l’instantané 20260929T003308Z-73514488a678 et à son empreinte, pour que vos lecteurs obtiennent exactement les données utilisées.

APA

FEMA National Risk Index county-hazard intelligence. (2026). FEMA National Risk Index county-hazard intelligence [Data set, snapshot 20260929T003308Z-73514488a678, sha256 73514488a678]. Datazimuts. Retrieved 2026-09-30, from https://datazimuts.com/fr/datasets/fema_nri_county_hazard/fema_nri_county_hazard_intel?snapshot=20260929T003308Z-73514488a678

BibTeX

@misc{dz_fema_nri_county_hazard_fema_nri_county_h_73514488,
  title        = {{FEMA National Risk Index county-hazard intelligence}},
  author       = {{FEMA National Risk Index county-hazard intelligence}},
  year         = {2026},
  publisher    = {Datazimuts},
  howpublished = {\url{https://datazimuts.com/fr/datasets/fema_nri_county_hazard/fema_nri_county_hazard_intel?snapshot=20260929T003308Z-73514488a678}},
  note         = {Snapshot 20260929T003308Z-73514488a678, sha256 73514488a6786b94a2819b3b87b9f5ae7e064efada43b6fb2af748d5b0b48d1d; accessed 2026-09-30}
}

Intégrer un tableau ou un graphique

Collez ce code dans n’importe quelle page. L’intégration est épinglée au même instantané, suit le thème clair ou sombre du lecteur et affiche toujours la source, la licence et un lien de retour.

Type

Axe X

Valeur

Agrégat

Thème

HTML

<iframe src="https://datazimuts.com/embed/chart?dataset=fema_nri_county_hazard%2Ffema_nri_county_hazard_intel&lang=fr&theme=auto&snapshot=20260929T003308Z-73514488a678&x=hazard_period_of_record&y=events_per_year&agg=avg" title="FEMA National Risk Index county-hazard intelligence" width="100%" height="380" style="border:0" loading="lazy"></iframe>

Connectez-vous pour commenter

Posez une question sur ce jeu de données. Les réponses viennent uniquement de sa fiche, de son profil mesuré et de son historique, et citent les faits utilisés.

FEMA National Risk Index county-hazard intelligence

Suivre ce jeu de données

Citer cet instantané

Intégrer un tableau ou un graphique

Utiliser votre propre clé d’IA