NHTSA vehicle recall burden intelligence (monthly)

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Monthly recall-burden ranking of US-market passenger-vehicle makes from the official keyless NHTSA recalls API (universe enumerated via vPIC, model years 2021-2026). Campaign rows are deduped on NHTSA campaign number; affected models and model-year spans are collapsed; the raw Component string is reduced to a top-level taxonomy (STEERING:COLUMN -> STEERING); Consequence/Summary text is scanned for crash/fire/injury/death mentions and folded into a documented severity model (3*crash+5*fire+2*injuries+10*deaths+4*park_advisory, where park_advisory flags NHTSA 'do not drive' / 'park outside' notices); a 0-100 recall_burden_score = 50% min-max(log1p(n_campaigns)) + 50% min-max(log1p(severity_sum)) is ranked with deterministic tie-breaks into b1..b4 tiers. Phone numbers in free text are redacted; Remedy/Notes boilerplate is never stored. The score is a recall burden signal, not a defect rate: counts are not normalized by sales volume. Primary key: campaign_number. Cadence: monthly. Caveats: campaigns exclusively affecting pre-2021 model years are out of scope; recall data ticks as NHTSA publishes, so same-month re-runs may differ slightly.

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

Source: NHTSA vehicle recall burden intelligence (agent-curated)
Lignes: 1 595
Colonnes: 33
Cadence de la source: Mensuelle
Dernière actualisation: 26 sept. 2026
Thème: transport

Colonne	Type	Description
campaign_number	string	NHTSA campaign number, e.g. 24V329000. Primary key.
make	string	Vehicle make, vPIC canonical name.
make_slug	string	URL-safe slug of the make.
manufacturer	string	Manufacturer name as reported by NHTSA.
models_affected	string	Distinct affected models, '; '-joined, sorted.
n_models_affected	integer	Count of distinct affected models. (unit: count)
model_year_min	integer	Earliest affected model year observed. (unit: year)
model_year_max	integer	Latest affected model year observed. (unit: year)
n_model_years_affected	integer	Count of distinct affected model years. (unit: count)
component_category	string	Top-level NHTSA component category (text before the first ':').
component_raw	string	Distinct raw component strings (up to 5), '; '-joined.
n_distinct_components	integer	Distinct top-level component categories. (unit: count)
report_received_date	string	Date NHTSA received the recall report. (unit: date)
summary	string	NHTSA defect summary with phone numbers redacted.
consequence	string	NHTSA stated consequence with phone numbers redacted.
park_it	boolean	NHTSA 'do not drive / park it' advisory flag. (unit: boolean)
park_outside	boolean	NHTSA 'park outside' (fire-risk) advisory flag. (unit: boolean)
ota_update	boolean	Recall remediable via over-the-air update. (unit: boolean)
crash_flag	boolean	Consequence/summary mentions crash risk. (unit: boolean)
fire_flag	boolean	Consequence/summary mentions fire risk. (unit: boolean)
injury_flag	boolean	Consequence/summary mentions injury risk. (unit: boolean)
death_flag	boolean	Consequence/summary mentions death/fatality risk. (unit: boolean)
severity_raw	float	Weighted severity: 3crash+5fire+2injury+10death+4*park_advisory. (unit: score)
severity_score	float	0-100 min-max normalized severity_raw. (unit: 0-100)
make_n_campaigns	integer	Campaigns for this make in the panel. (unit: count)
make_severity_sum	float	Sum of severity_raw over the make's campaigns. (unit: score)
make_campaigns_12m	integer	Make's campaigns with report date in the trailing 365 days. (unit: count)
recall_burden_score	float	0-100 burden composite: 50% min-max(log1p(n_campaigns)) + 50% min-max(log1p(severity_sum)). Burden, not a defect rate. (unit: 0-100)
recall_burden_rank	integer	Deterministic rank: recall_burden_score desc, then make_n_campaigns desc, make_slug asc. (unit: rank)
recall_burden_tier	string	Burden tier: b1 >=75, b2 >=50, b3 >=25, b4 <25.
nhtsa_url	string	Exact NHTSA recalls API query behind this row. (unit: URL)
as_of	string	Trailing complete UTC day of the sweep. (unit: date)
row_hash	string	Deterministic 16-hex row hash.

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

campaign_number	make	make_slug	manufacturer	models_affected	n_models_affected	model_year_min	model_year_max	n_model_years_affected	component_category	component_raw	n_distinct_components	report_received_date	summary	consequence	park_it	park_outside	ota_update	crash_flag	fire_flag	injury_flag	death_flag	severity_raw	severity_score	make_n_campaigns	make_severity_sum	make_campaigns_12m	recall_burden_score	recall_burden_rank	recall_burden_tier	nhtsa_url	as_of	row_hash
22V346000	FORD	ford	Ford Motor Company	Expedition	1	2 021	2 021	1	ENGINE	ENGINE	1	2022-05-17	Ford Motor Company (Ford) is recalling certain 2021 Expedition and Lincoln Navigator vehicles. An engine compartment fire may occur while driving or parked, even with the ignition in the "Off" position.	A vehicle fire increases the risk of injury.	false	true	false	false	true	true	false	11	75	296	1 175	67	100	1	b1	https://api.nhtsa.gov/recalls/recallsByVehicle?make=FORD&model=Expedition&modelYear=2021	2026-09-25	7b8888b21b2eeb61
26V238000	FORD	ford	Ford Motor Company	Ranger	1	2 024	2 024	1	STRUCTURE	STRUCTURE:INTERIOR PANELS:SUN VISOR	1	2026-04-14	Ford Motor Company (Ford) is recalling certain 2024-2026 Ranger vehicles. The sun visor or headliner wiring harnesses may be improperly positioned or have excessive tape thickness, which can result in damaged wires.	Damaged wires can create an electrical short and cause a fire in the A-pillar area, increasing the risk of injury or a crash.	false	false	false	true	true	true	false	10	66,67	296	1 175	67	100	1	b1	https://api.nhtsa.gov/recalls/recallsByVehicle?make=FORD&model=Ranger&modelYear=2024	2026-09-25	a195af9bb1b06d00
22V088000	FORD	ford	Ford Motor Company	Explorer	1	2 022	2 022	1	FUEL SYSTEM, GASOLINE	FUEL SYSTEM, GASOLINE:STORAGE:TANK ASSEMBLY:FILLER PIPE AND CAP	1	2022-02-16	Ford Motor Company (Ford) is recalling certain 2022 Explorer and Lincoln Aviator vehicles. The fuel filler tube may detach during a crash. As such, these vehicles fail to comply with the requirements of Federal Motor Vehicle Safety Standard number 301, "Fuel System Integrity."	A detached fuel filler tube can result in a fuel leak, increasing the risk of a fire.	false	false	false	true	true	false	false	8	50	296	1 175	67	100	1	b1	https://api.nhtsa.gov/recalls/recallsByVehicle?make=FORD&model=Explorer&modelYear=2022	2026-09-25	7ad1f43f46fe77ff
23V597000	FORD	ford	Ford Motor Company	Explorer	1	2 023	2 023	1	ENGINE AND ENGINE COOLING	ENGINE AND ENGINE COOLING:ENGINE:GASOLINE:TURBO/SUPERCHARGER	1	2023-08-25	Ford Motor Company (Ford) is recalling certain 2023 Explorer vehicles equipped with 2.3L GTDI engines. The turbocharger oil supply line may be damaged, which can result in an oil leak inside the engine compartment.	An oil leak in the presence of an ignition source such as hot engine or exhaust components, can increase the risk of a fire. In addition, the loss of oil can result in an engine stall, increasing the risk of a crash.	false	false	false	true	true	false	false	8	50	296	1 175	67	100	1	b1	https://api.nhtsa.gov/recalls/recallsByVehicle?make=FORD&model=Explorer&modelYear=2023	2026-09-25	74c1ab9533a5deb0
23V626000	FORD	ford	Ford Motor Company	Explorer	1	2 021	2 021	1	ELECTRICAL SYSTEM	ELECTRICAL SYSTEM:PROPULSION SYSTEM:TRACTION BATTERY	1	2023-09-08	Ford Motor Company (Ford) is recalling certain 2020-2022 Lincoln Aviator and Ford Explorer vehicles equipped with 3.0L PHEV engines. A manufacturing defect in one or more of the high voltage battery cells may result in an internal short circuit and battery failure.	Battery failure can cause a loss of drive power, increasing the risk of a crash. Battery failure can also increase the risk of a fire.	false	false	false	true	true	false	false	8	50	296	1 175	67	100	1	b1	https://api.nhtsa.gov/recalls/recallsByVehicle?make=FORD&model=Explorer&modelYear=2021	2026-09-25	aabef19982df7061
24V220000	FORD	ford	Ford Motor Company	Mustang	1	2 024	2 024	1	FUEL SYSTEM, GASOLINE	FUEL SYSTEM, GASOLINE:DELIVERY:HOSES, LINES/PIPING, AND FITTINGS	1	2024-03-22	Ford Motor Company (Ford) is recalling certain 2024 Mustang vehicles equipped with 2.3L engines. The low-pressure fuel supply line may be damaged or cut, which can result in a fuel leak.	A fuel leak in the presence of an ignition source such as hot engine or exhaust components, can increase the risk of a fire. In addition, a loss of fuel may result in an engine stall, increasing the risk of a crash.	false	false	false	true	true	false	false	8	50	296	1 175	67	100	1	b1	https://api.nhtsa.gov/recalls/recallsByVehicle?make=FORD&model=Mustang&modelYear=2024	2026-09-25	58f93614df321c2e
24V394000	FORD	ford	Ford Motor Company	Mustang	1	2 024	2 024	1	POWER TRAIN	POWER TRAIN:CLUTCH ASSEMBLY:LINKAGE:HYDRAULIC HOSE/FITTINGS	1	2024-06-03	Ford Motor Company (Ford) is recalling certain 2024 Mustang vehicles. The clutch pressure line may be improperly secured and contact hot exhaust components, which can result in melting of the clutch pressure line and cause a brake fluid leak.	A melted clutch pressure line can result in a loss of drive power, increases the risk of a crash. A brake fluid leak increases the risk of fire in the presence of an ignition source.	false	false	false	true	true	false	false	8	50	296	1 175	67	100	1	b1	https://api.nhtsa.gov/recalls/recallsByVehicle?make=FORD&model=Mustang&modelYear=2024	2026-09-25	1ecc56680dd84e2b
24V851000	FORD	ford	Ford Motor Company	Expedition	1	2 024	2 024	1	ENGINE AND ENGINE COOLING	ENGINE AND ENGINE COOLING:ENGINE:OIL/LUBRICATION	1	2024-12-20	Ford Motor Company (Ford) is recalling certain 2024-2025 F-150, 2024 Expedition and 2024 Lincoln Navigator vehicles equipped with a 3.5L GTDI engine. The engines may have a misaligned engine cup plug, which can result in a rapid oil leak.	A rapid oil leak can result in an engine stall, increasing the risk of a crash. In addition, an oil leak in the presence of an ignition source such as hot engine or exhaust components, can increase the risk of a fire.	false	false	false	true	true	false	false	8	50	296	1 175	67	100	1	b1	https://api.nhtsa.gov/recalls/recallsByVehicle?make=FORD&model=Expedition&modelYear=2024	2026-09-25	329bdd6b7210eecb
24V954000	FORD	ford	Ford Motor Company	Escape	1	2 021	2 021	1	ELECTRICAL SYSTEM	ELECTRICAL SYSTEM:PROPULSION SYSTEM:TRACTION BATTERY:MANAGEMENT SYSTEM/ENERGY CONTROL MODULE (BMS/BECM)	1	2024-12-20	Ford Motor Company (Ford) is recalling certain 2020-2024 Ford Escape, and 2021-2024 Lincoln Corsair vehicles. A manufacturing defect in one or more of the high voltage battery cells may result in an internal short circuit and battery failure.	Battery failure can cause a loss of drive power, increasing the risk of a crash. Battery failure can also increase the risk of a fire.	false	false	false	true	true	false	false	8	50	296	1 175	67	100	1	b1	https://api.nhtsa.gov/recalls/recallsByVehicle?make=FORD&model=Escape&modelYear=2021	2026-09-25	69323dd0b2e39276
25V198000	FORD	ford	Ford Motor Company	Expedition	1	2 024	2 024	1	ENGINE AND ENGINE COOLING	ENGINE AND ENGINE COOLING:ENGINE:OIL/LUBRICATION	1	2025-03-28	Ford Motor Company (Ford) is recalling certain 2024-2025 F-150, Expedition, and 2024 Lincoln Navigator vehicles equipped with 3.5L GTDI engines. The engine may have a misaligned engine cup plug, which can result in a rapid oil leak.	A rapid oil leak can result in an engine stall, increasing the risk of a crash. In addition, an oil leak in the presence of an ignition source such as hot engine or exhaust components, can increase the risk of a fire.	false	false	false	true	true	false	false	8	50	296	1 175	67	100	1	b1	https://api.nhtsa.gov/recalls/recallsByVehicle?make=FORD&model=Expedition&modelYear=2024	2026-09-25	43347d42c10c1ffd

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/nhtsa_recall_signals/nhtsa_vehicle_recall_monthly" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/nhtsa_recall_signals/nhtsa_vehicle_recall_monthly").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/nhtsa_recall_signals/nhtsa_vehicle_recall_monthly

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

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APA

NHTSA vehicle recall burden intelligence (agent-curated). (2026). NHTSA vehicle recall burden intelligence (monthly) [Data set, snapshot 20260926T042352Z-795227ea4b6d, sha256 795227ea4b6d]. Datazimuts. Retrieved 2026-09-26, from https://datazimuts.com/fr/datasets/nhtsa_recall_signals/nhtsa_vehicle_recall_monthly?snapshot=20260926T042352Z-795227ea4b6d

BibTeX

@misc{dz_nhtsa_recall_signals_nhtsa_vehicle_recal_795227ea,
  title        = {{NHTSA vehicle recall burden intelligence (monthly)}},
  author       = {{NHTSA vehicle recall burden intelligence (agent-curated)}},
  year         = {2026},
  publisher    = {Datazimuts},
  howpublished = {\url{https://datazimuts.com/fr/datasets/nhtsa_recall_signals/nhtsa_vehicle_recall_monthly?snapshot=20260926T042352Z-795227ea4b6d}},
  note         = {Snapshot 20260926T042352Z-795227ea4b6d, sha256 795227ea4b6d54176e7886dc4606b0c7ba77a82e760f203af67db526aa999b75; accessed 2026-09-26}
}

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<iframe src="https://datazimuts.com/embed/chart?dataset=nhtsa_recall_signals%2Fnhtsa_vehicle_recall_monthly&lang=fr&theme=auto&snapshot=20260926T042352Z-795227ea4b6d&x=model_year_min&y=n_models_affected&agg=avg" title="NHTSA vehicle recall burden intelligence (monthly)" width="100%" height="380" style="border:0" loading="lazy"></iframe>

NHTSA vehicle recall burden intelligence (monthly)

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