Manufacturer Quality Index

Rankings combine our stored reliability scores (from NHTSA, RepairPal, CarComplaints, Consumer Reports where available) into a brand index. Each model line is weighted equally; within a model, newer model years count more than very old ones. This is an independent composite—not Consumer Reports’ member survey. Higher scores indicate better predicted reliability.

Data Sources: NHTSA, Consumer Reports, CarComplaints, RepairPal

Scale: 0-100 (Higher = Better)

Manufacturer Rankings

Rank	Manufacturer	Quality Index	Rating	Vehicles	Models
#1	Dodge	79	Excellent	68	5
#2	Ford	74	Excellent	155	11
#3	Acura	74	Excellent	64	5
#4	Chevrolet	71	Excellent	153	11
#5	Mazda	70	Excellent	90	7
#6	Toyota	67	Good	188	12
#7	Honda	67	Good	127	9
#8	Volkswagen	67	Good	76	6
#9	Mercedes-Benz	65	Good	113	8
#10	Kia	65	Good	99	8
#11	BMW	64	Good	135	9
#12	Audi	64	Good	118	8
#13	RAM	64	Good	62	4
#14	GMC	64	Good	80	5
#15	Nissan	63	Good	154	10
#16	Lexus	63	Good	115	8
#17	Subaru	63	Good	101	7
#18	Jeep	62	Good	101	7
#19	Porsche	62	Good	87	6
#20	Hyundai	61	Good	102	8
#21	Tesla	57	Average	47	5

How Quality Index is Calculated

Per model year

Uses the stored overall reliability score (0–100). That score already reflects scrapers’ blend of sources (including NHTSA and complaint signals where applicable), so we do not subtract raw complaint or recall counts again—doing so double-counted and biased high-volume vehicles. When component scores (powertrain, body, electrical) disagree meaningfully with the headline score, we blend slightly toward the component average.

Across years (same model)

Recency: newer model years get higher weight (exponential decay by age; floor so old years still contribute a little).

Brand index

The manufacturer score is the simple average of each model line’s index (each model counts equally—not every model-year row), which aligns better with “how good is this brand’s lineup” than averaging every year of every vehicle.

Data sources

Underlying rows come from your scraped pipeline (NHTSA, CarComplaints, RepairPal, Consumer Reports when scraped, etc.). Coverage and source mix still affect results; this algorithm only fixes aggregation and double-counting.