Annual state-level U.S. severe-weather intelligence built as an intelligence layer over NOAA's verified Storm Events Database (keyless NCEI bulk CSVs, U.S. federal public domain): per-state/year counts of distinct severe-weather events by hazard bucket (tornado, wind, hail, flood, winter, heat, tropical, fire, lightning, other), deaths and injuries, parsed property/crop damage dollars with reporting-share honesty, YoY changes, a look-ahead-free trailing-5-year intensity z-score, a documented 0-100 severe-weather burden score with within-year ranks and tiers, and record/deadly/costly/catastrophic/multi-hazard flags.

Source: NOAA NCEI — US severe-weather event intelligence
Rows: 560
Columns: 40
Source cadence: Yearly
Last refreshed: Sep 27, 2026
Theme: environment

Column	Type	Description
as_of	string	Reference year (YYYY) of the panel row; year-granular as-of stamping so identical upstream input yields an identical content hash.
year	integer	Calendar year of the events. (unit: year)
country	string	Canonical country name (United States) for every row.
country_code	string	ISO 3166-1 alpha-3 code for the United States (USA) — the join key for the 'Enrich with public data' feature. (unit: ISO 3166-1 alpha-3)
state_code	string	Two-letter USPS abbreviation of the state/territory. (unit: USPS)
state_name	string	State or territory name. (unit: text)
n_events	integer	Distinct NCEI Storm Events (EVENT_ID) in the state x year; marine/offshore zones excluded. (unit: count)
n_tornado	integer	Events with EVENT_TYPE Tornado. (unit: count)
n_wind	integer	Thunderstorm Wind / High Wind / Strong Wind events. (unit: count)
n_hail	integer	Hail events. (unit: count)
n_flood	integer	Flash Flood / Flood / Coastal Flood / Lakeshore Flood / Heavy Rain / Storm Surge events. (unit: count)
n_winter	integer	Winter Weather / Heavy Snow / Winter Storm / Blizzard / Ice Storm / cold and freeze events. (unit: count)
n_heat	integer	Heat / Excessive Heat events. (unit: count)
n_tropical	integer	Tropical Storm / Hurricane (Typhoon) / Tropical Depression events. (unit: count)
n_fire	integer	Wildfire events. (unit: count)
n_lightning	integer	Lightning events. (unit: count)
n_other	integer	Events in no other bucket (e.g. Drought, Dense Fog, Dust Storm, Avalanche). (unit: count)
distinct_hazard_buckets	integer	Number of distinct hazard buckets with >= 1 event. (unit: count)
deaths_total	integer	Direct + indirect deaths across the year's events. (unit: count)
injuries_total	integer	Direct + indirect injuries across the year's events. (unit: count)
damage_property_usd	float	Sum of parsed DAMAGE_PROPERTY (K/M/B strings) over events with reported damage; unreported damage is excluded, not zeroed. (unit: USD)
damage_crops_usd	float	Sum of parsed DAMAGE_CROPS over events with reported damage. (unit: USD)
damage_total_usd	float	damage_property_usd + damage_crops_usd. (unit: USD)
damage_reported_share	float	Share of the year's events with non-empty property or crop damage (damage honesty metric). (unit: share)
max_event_damage_usd	float	Largest single-event property+crop damage in the state x year. (unit: USD)
dominant_hazard_bucket	string	Hazard bucket with the most events (alphabetical tie-break); null when n_events = 0.
n_events_yoy	float	Year-over-year absolute change in n_events; null for the panel's first year. (unit: count)
n_events_yoy_pct	float	Year-over-year relative change in n_events; null for the panel's first year or zero base. (unit: share)
damage_total_yoy_pct	float	Year-over-year relative change in damage_total_usd; null for the panel's first year or zero base. (unit: share)
intensity_z5	float	Look-ahead-free trailing-5-year z-score of n_events for the state; null until >= 3 trailing observations. (unit: z-score)
severe_weather_burden_score	float	Documented 0-100 score: min-max of 0.5z(n_events) + 0.5z(log1p(damage_total_usd)) with panel-wide z-scores. 100 = most severe-weather-burdened state-year. (unit: score)
burden_rank	integer	Rank of severe_weather_burden_score within the year (1 = highest).
burden_tier	string	Quartile tier of burden_rank within the year: w1 (top quartile) .. w4 (bottom quartile).
record_flag	boolean	True when n_events equals the state's all-time panel maximum (> 0).
deadly_flag	boolean	True when the state x year saw >= 1 death.
costly_flag	boolean	True when damage_total_usd >= $10M.
catastrophic_event_flag	boolean	True when a single event caused >= $100M damage.
multi_hazard_flag	boolean	True when >= 5 distinct hazard buckets hit the state in the year.
source_url	string	NCEI CSV directory URL the panel was built from (first yearly file's directory).
row_hash	string	SHA-256 (16 hex chars) over the row's content fields; identical input yields an identical hash, so a re-run on unchanged upstream data is a no-op.

First 10 sample rows — a preview, not the complete dataset.

as_of	year	country	country_code	state_code	state_name	n_events	n_tornado	n_wind	n_hail	n_flood	n_winter	n_fire	n_lightning	n_other	distinct_hazard_buckets	deaths_total	injuries_total	damage_property_usd	damage_crops_usd	damage_total_usd	damage_reported_share	max_event_damage_usd	dominant_hazard_bucket	n_events_yoy	n_events_yoy_pct	damage_total_yoy_pct	intensity_z5	severe_weather_burden_score	burden_rank	burden_tier	record_flag	deadly_flag	costly_flag	catastrophic_event_flag	multi_hazard_flag	source_url	row_hash
2015	2,015	United States	USA	AK	Alaska	220	0	66	1	13	129	4	2	5	7	11	8	26,703,800	1,000	26,704,800	0.977	15,500,000	winter	—	—	—	—	31.03	40	w3	false	true	true	false	true	https://www.ncei.noaa.gov/pub/data/swdi/stormevents/csvfiles/StormEvents_details-ftp_v1.0_d2015_c20260323.csv.gz	6d8eabd2ca3ad67d
2016	2,016	United States	USA	AK	Alaska	150	0	59	0	15	66	1	0	9	5	5	5	203,000	0	203,000	0.993	100,000	winter	-70	-0.318	-0.992	—	21.77	50	w4	false	true	false	false	true	https://www.ncei.noaa.gov/pub/data/swdi/stormevents/csvfiles/StormEvents_details-ftp_v1.0_d2015_c20260323.csv.gz	f1ceb5f8757e77dd
2017	2,017	United States	USA	AK	Alaska	231	0	85	0	12	124	0	0	10	4	2	0	6,525,000	0	6,525,000	0.996	5,000,000	winter	81	0.54	31.143	—	28.61	46	w4	false	true	false	false	false	https://www.ncei.noaa.gov/pub/data/swdi/stormevents/csvfiles/StormEvents_details-ftp_v1.0_d2015_c20260323.csv.gz	194e5de3d95a7f7e
2018	2,018	United States	USA	AK	Alaska	121	0	55	2	12	51	0	0	1	5	0	0	3,589,000	0	3,589,000	1	2,750,000	wind	-110	-0.476	-0.45	-2.211	26.65	49	w4	false	false	false	false	true	https://www.ncei.noaa.gov/pub/data/swdi/stormevents/csvfiles/StormEvents_details-ftp_v1.0_d2015_c20260323.csv.gz	e82b88d1e104a19a
2019	2,019	United States	USA	AK	Alaska	143	0	49	0	17	75	0	0	2	4	0	0	8,545,000	0	8,545,000	0.993	3,000,000	winter	22	0.182	1.381	-0.81	28.37	42	w3	false	false	false	false	false	https://www.ncei.noaa.gov/pub/data/swdi/stormevents/csvfiles/StormEvents_details-ftp_v1.0_d2015_c20260323.csv.gz	9fb946724fadccb3
2020	2,020	United States	USA	AK	Alaska	252	0	66	0	17	159	0	0	10	4	5	0	35,849,000	0	35,849,000	0.972	20,300,000	winter	109	0.762	3.195	1.793	31.82	43	w4	false	true	true	false	false	https://www.ncei.noaa.gov/pub/data/swdi/stormevents/csvfiles/StormEvents_details-ftp_v1.0_d2015_c20260323.csv.gz	58e8886f7f688d09
2021	2,021	United States	USA	AK	Alaska	283	0	54	0	8	219	0	0	2	4	0	1	5,855,740	0	5,855,740	0.975	5,000,000	winter	31	0.123	-0.837	1.991	28.84	47	w4	false	false	false	false	false	https://www.ncei.noaa.gov/pub/data/swdi/stormevents/csvfiles/StormEvents_details-ftp_v1.0_d2015_c20260323.csv.gz	d9765403f5753473
2022	2,022	United States	USA	AK	Alaska	332	0	65	0	45	204	11	0	7	5	1	2	18,251,800	0	18,251,800	0.973	14,000,000	winter	49	0.173	2.117	1.999	31.27	41	w3	false	true	true	false	true	https://www.ncei.noaa.gov/pub/data/swdi/stormevents/csvfiles/StormEvents_details-ftp_v1.0_d2015_c20260323.csv.gz	4ff7aac521df44bc
2023	2,023	United States	USA	AK	Alaska	385	0	66	0	45	265	3	1	5	6	6	2	9,211,000	0	9,211,000	0.977	7,000,000	winter	53	0.16	-0.495	1.952	30.48	45	w4	true	true	false	false	true	https://www.ncei.noaa.gov/pub/data/swdi/stormevents/csvfiles/StormEvents_details-ftp_v1.0_d2015_c20260323.csv.gz	3d3586af7f1ea1c2
2024	2,024	United States	USA	AK	Alaska	319	1	80	1	44	187	2	0	4	7	2	4	10,790,000	0	10,790,000	0.997	6,660,000	winter	-66	-0.171	0.171	0.49	30.23	45	w4	false	true	true	false	true	https://www.ncei.noaa.gov/pub/data/swdi/stormevents/csvfiles/StormEvents_details-ftp_v1.0_d2015_c20260323.csv.gz	50f9ed53f3539460

Sep 27, 2026Current
20260927T121648Z-0dc108e16da3 · sha256 0dc108e16da3…
560 rows · first snapshot

Point any LLM at the metadata endpoint — the documentation above is machine-readable too (JSON-LD + Croissant).

cURL

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

Python

import requests

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

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

API endpoint: https://datazimuts.com/v1/datasets/ncei_storm_events_intel/us_severe_weather_intel_annual

Tip: fetch /llms.txt for the full machine-readable catalog.

Where this data comes from and what was made from it. Other people's work shows as counts; only shared projects are named.

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Pinned to snapshot 20260927T121648Z-0dc108e16da3 and its content hash, so readers get exactly the data you used.

APA

NOAA NCEI — US severe-weather event intelligence. (2026). US severe-weather event intelligence (annual) [Data set, snapshot 20260927T121648Z-0dc108e16da3, sha256 0dc108e16da3]. Datazimuts. Retrieved 2026-09-27, from https://datazimuts.com/en/datasets/ncei_storm_events_intel/us_severe_weather_intel_annual?snapshot=20260927T121648Z-0dc108e16da3

BibTeX

@misc{dz_ncei_storm_events_intel_us_severe_weathe_0dc108e1,
  title        = {{US severe-weather event intelligence (annual)}},
  author       = {{NOAA NCEI — US severe-weather event intelligence}},
  year         = {2026},
  publisher    = {Datazimuts},
  howpublished = {\url{https://datazimuts.com/en/datasets/ncei_storm_events_intel/us_severe_weather_intel_annual?snapshot=20260927T121648Z-0dc108e16da3}},
  note         = {Snapshot 20260927T121648Z-0dc108e16da3, sha256 0dc108e16da30bb340f310a9fdaa42af324e2f079c87e274c2c0f8bb05169b4e; accessed 2026-09-27}
}

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US severe-weather event intelligence (annual)

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