Car Reliability Survey:
Nada-odds and Lemon-odds
Year ending September 30, 2009
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New stats: what car buyers really want to know
When buying a car, wouldn't you really like to know:
- How likely am I to get a lemon?
- What are the odds the car will require no repairs--not one, nada?
Problem is, by providing only the average problem rates (or vague ratings based on these averages), no one's really been answering these questions.
Until now. With new "Nada-odds" and "Lemon-odds" stats, TrueDelta will, for the first time anywhere, provide the answers car buyers have been seeking.
These stats require larger sample sizes than our regular stats, so currently they're available for far fewer models. That said, results are updated every three months, and each time coverage will increase.
| Car Reliability Survey (CRS) Results: year ending Sept. 30, 2009 | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| Nada-odds cars per 100 with no repairs (nada) in the past year; 100 is ideal Lemon-odds cars per 100 with 3+ repair trips in the past year; 0 is ideal Column definitions | |||||||||
| Sort | |||||||||
| Year | Make | Model | Nada-odds |
Lemon-odds |
Cars Mon/Car Av Odo | ||||
| 2008 | Acura | MDX | 28 11.9 19900 | ||||||
| 2007 | Acura | MDX | 37 11.6 31700 | ||||||
| 2006 | Audi | A3 | 28 11.9 42700 | ||||||
| 2007 | Audi | A4 | 26 11.5 33800 | ||||||
| 2006 | Audi | A4 | 40 11.7 50600 | ||||||
| 2008 | BMW | 335 | 25 11.5 18600 | ||||||
| 2007 | BMW | 328 | 29 11.4 28300 | ||||||
| 2007 | BMW | 335 | 35 11.7 22100 | ||||||
| 2006 | BMW | 3-Series 4dr | 34 11.6 44400 | ||||||
| 2001 | BMW | 3-Series | 27 11.4 91200 | ||||||
| 2009 | Buick | Enclave | 31 10.2 11800 | ||||||
| Year | Make | Model | Nada-odds |
Lemon-odds |
Cars Mon/Car Av Odo | ||||
| 2008 | Buick | Enclave | 164 11.5 22900 | ||||||
| 2008 | Cadillac | CTS | 40 11.8 20000 | ||||||
| 2007 | Chevrolet | Cobalt | 26 11.1 30800 | ||||||
| 2009 | Chevrolet | Traverse | 31 10.2 11800 | ||||||
| 2006 | Chrysler | 300 | 45 11.8 38500 | ||||||
| 2005 | Chrysler | 300 | 26 11.6 69500 | ||||||
| 2008 | Chrysler | Town & Country | 39 11.3 19200 | ||||||
| 2005 | Chrysler | Town & Country | 34 11.8 64100 | ||||||
| 2008 | Dodge | Caravan / Grand Caravan | 39 11.3 19200 | ||||||
| 2005 | Dodge | Caravan / Grand Caravan | 34 11.8 64100 | ||||||
| 2006 | Dodge | Charger / Magnum | 45 11.8 38500 | ||||||
| Year | Make | Model | Nada-odds |
Lemon-odds |
Cars Mon/Car Av Odo | ||||
| 2005 | Dodge | Magnum | 26 11.6 69500 | ||||||
| 2007 | Ford | Edge AWD | 25 11.4 28700 | ||||||
| 2008 | Ford | Escape | 33 11.5 22800 | ||||||
| 2007 | Ford | Five Hundred / Freestyle | 25 12.0 38500 | ||||||
| 2006 | Ford | Five Hundred / Freestyle | 28 11.6 49800 | ||||||
| 2005 | Ford | Five Hundred / Freestyle | 44 11.8 56200 | ||||||
| 2008 | Ford | Fusion | 32 11.8 17200 | ||||||
| 2007 | Ford | Fusion | 31 11.7 33600 | ||||||
| 2006 | Ford | Fusion | 28 11.6 44400 | ||||||
| 2009 | GMC | Acadia | 31 10.2 11800 | ||||||
| 2008 | GMC | Acadia | 164 11.5 22900 | ||||||
| Year | Make | Model | Nada-odds |
Lemon-odds |
Cars Mon/Car Av Odo | ||||
| 2007 | GMC | Acadia | 62 11.7 35400 | ||||||
| 2008 | Honda | Accord | 74 11.5 21600 | ||||||
| 2007 | Honda | Accord | 41 11.5 29500 | ||||||
| 2006 | Honda | Accord | 34 11.6 48900 | ||||||
| 2004 | Honda | Accord | 35 11.8 66500 | ||||||
| 2003 | Honda | Accord | 26 11.6 96800 | ||||||
| 2008 | Honda | Civic | 30 11.7 23800 | ||||||
| 2007 | Honda | Civic | 37 11.3 33500 | ||||||
| 2006 | Honda | Civic | 33 11.5 49200 | ||||||
| 2007 | Honda | CR-V | 40 11.9 31600 | ||||||
| 2009 | Honda | Fit | 35 10.8 13700 | ||||||
| Year | Make | Model | Nada-odds |
Lemon-odds |
Cars Mon/Car Av Odo | ||||
| 2008 | Honda | Fit | 35 11.3 18500 | ||||||
| 2007 | Honda | Fit | 43 11.8 40000 | ||||||
| 2007 | Honda | Odyssey | 37 11.8 32700 | ||||||
| 2006 | Honda | Odyssey | 36 11.4 48900 | ||||||
| 2005 | Honda | Odyssey | 30 11.8 54000 | ||||||
| 2003 | Honda | Odyssey | 25 11.8 93200 | ||||||
| 2002 | Honda | Odyssey | 30 11.7 99600 | ||||||
| 2009 | Hyundai | Genesis Sedan | 33 10.8 11400 | ||||||
| 2008 | Hyundai | Santa Fe | 26 11.7 16300 | ||||||
| 2007 | Hyundai | Santa Fe | 36 11.9 27100 | ||||||
| 2007 | Hyundai | Sonata | 25 11.6 38400 | ||||||
| Year | Make | Model | Nada-odds |
Lemon-odds |
Cars Mon/Car Av Odo | ||||
| 2006 | Hyundai | Sonata | 39 11.7 46300 | ||||||
| 2008 | Infiniti | EX | 27 11.1 17900 | ||||||
| 2008 | Infiniti | G35 / G37 | 67 11.5 17900 | ||||||
| 2007 | Infiniti | G35 sedan | 31 11.6 27100 | ||||||
| 2004 | Infiniti | G35 | 27 11.8 53600 | ||||||
| 2003 | Infiniti | G35 | 29 11.5 75200 | ||||||
| 2006 | Infiniti | M-Series | 28 11.5 56900 | ||||||
| 2008 | Jeep | Patriot / Compass | 26 11.3 25200 | ||||||
| 2008 | Jeep | Wrangler | 26 11.7 23500 | ||||||
| 2007 | Lincoln | MKX AWD | 25 11.4 28700 | ||||||
| 2008 | Lincoln | MKZ | 32 11.8 17200 | ||||||
| Year | Make | Model | Nada-odds |
Lemon-odds |
Cars Mon/Car Av Odo | ||||
| 2007 | Lincoln | MKZ | 31 11.7 33600 | ||||||
| 2006 | Lincoln | Zephyr | 28 11.6 44400 | ||||||
| 2008 | Mazda | CX-9 | 26 11.7 21200 | ||||||
| 2007 | Mazda | CX-9 | 26 11.9 34900 | ||||||
| 2008 | Mazda | Mazda3 | 33 11.6 24300 | ||||||
| 2007 | Mazda | Mazda3 | 31 11.7 30300 | ||||||
| 2006 | Mazda | Mazda3 | 34 11.9 47500 | ||||||
| 2005 | Mazda | Mazda3 | 25 11.6 55500 | ||||||
| 2006 | Mazda | Mazda5 | 27 11.6 42400 | ||||||
| 2003 | Mazda | Protege | 29 11.6 71900 | ||||||
| 2008 | Mazda | Tribute | 33 11.5 22800 | ||||||
| Year | Make | Model | Nada-odds |
Lemon-odds |
Cars Mon/Car Av Odo | ||||
| 2008 | Mercedes-Benz | C-Class | 31 11.5 16500 | ||||||
| 2008 | Mercury | Mariner | 33 11.5 22800 | ||||||
| 2008 | Mercury | Milan | 32 11.8 17200 | ||||||
| 2007 | Mercury | Milan | 31 11.7 33600 | ||||||
| 2006 | Mercury | Milan | 28 11.6 44400 | ||||||
| 2007 | Mercury | Montego | 25 12.0 38500 | ||||||
| 2006 | Mercury | Montego | 28 11.6 49800 | ||||||
| 2005 | Mercury | Montego | 44 11.8 56200 | ||||||
| 2008 | Nissan | Altima | 43 11.5 22900 | ||||||
| 2007 | Nissan | Altima | 38 11.8 29600 | ||||||
| 2009 | Nissan | Murano | 34 11.5 17900 | ||||||
| Year | Make | Model | Nada-odds |
Lemon-odds |
Cars Mon/Car Av Odo | ||||
| 2008 | Nissan | Rogue | 73 11.7 22600 | ||||||
| 2008 | Nissan | Versa | 45 11.6 22000 | ||||||
| 2007 | Nissan | Versa | 55 11.5 32800 | ||||||
| 2007 | Pontiac | G5 | 26 11.1 30800 | ||||||
| 2007 | Saab | 9-3 | 27 11.4 31100 | ||||||
| 2008 | Saturn | ASTRA | 60 11.2 17200 | ||||||
| 2008 | Saturn | AURA | 30 11.5 19000 | ||||||
| 2007 | Saturn | AURA | 61 11.8 31600 | ||||||
| 2009 | Saturn | Outlook | 31 10.2 11800 | ||||||
| 2008 | Saturn | Outlook | 164 11.5 22900 | ||||||
| 2007 | Saturn | Outlook | 62 11.7 35400 | ||||||
| Year | Make | Model | Nada-odds |
Lemon-odds |
Cars Mon/Car Av Odo | ||||
| 2008 | Saturn | VUE | 46 11.6 22400 | ||||||
| 2008 | Scion | xB | 29 11.6 24700 | ||||||
| 2008 | smart | fortwo | 66 11.4 14600 | ||||||
| 2009 | Subaru | Forester | 32 11.5 13100 | ||||||
| 2008 | Subaru | Legacy | 40 11.6 22800 | ||||||
| 2006 | Subaru | Legacy | 29 11.8 46200 | ||||||
| 2005 | Subaru | Legacy | 44 11.5 57100 | ||||||
| 2008 | Subaru | Outback | 40 11.6 22800 | ||||||
| 2006 | Subaru | Outback | 29 11.8 46200 | ||||||
| 2005 | Subaru | Outback | 44 11.5 57100 | ||||||
| 2008 | Suzuki | SX4 | 49 11.7 21200 | ||||||
| Year | Make | Model | Nada-odds |
Lemon-odds |
Cars Mon/Car Av Odo | ||||
| 2007 | Suzuki | SX4 | 40 11.6 29500 | ||||||
| 2007 | Toyota | Camry Hybrid | 29 11.7 43000 | ||||||
| 2007 | Toyota | Camry 4 | 26 11.5 39500 | ||||||
| 2007 | Toyota | FJ Cruiser | 33 11.5 35500 | ||||||
| 2008 | Toyota | Prius | 57 11.7 25300 | ||||||
| 2007 | Toyota | Prius | 53 11.8 39200 | ||||||
| 2006 | Toyota | Prius | 47 11.7 50000 | ||||||
| 2005 | Toyota | Prius | 40 11.6 66500 | ||||||
| 2008 | Toyota | RAV4 | 39 11.3 17400 | ||||||
| 2007 | Toyota | RAV4 | 34 11.4 28400 | ||||||
| 2006 | Toyota | RAV4 | 34 11.5 41400 | ||||||
| Year | Make | Model | Nada-odds |
Lemon-odds |
Cars Mon/Car Av Odo | ||||
| 2006 | Toyota | Sienna | 28 11.6 46900 | ||||||
| 2005 | Toyota | Sienna | 26 11.4 60000 | ||||||
| 2004 | Toyota | Sienna | 29 11.7 81700 | ||||||
| 2007 | Toyota | Tundra | 26 11.5 30000 | ||||||
| 2007 | Toyota | Yaris | 29 11.6 43800 | ||||||
| 2008 | Volkswagen | GTI | 25 11.8 17300 | ||||||
| 2007 | Volkswagen | GTI | 25 11.8 39200 | ||||||
| 2008 | Volkswagen | Jetta 2.0T | 25 11.8 17300 | ||||||
| 2007 | Volkswagen | Jetta 2.0T | 25 11.8 39200 | ||||||
| 2007 | Volkswagen | Passat | 32 11.9 34500 | ||||||
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Definitions
- Nada-odds -- Percent of cars with no repairs (i.e. nada) in the past year.
- Lemon-odds -- Percent of cars with 3+ more repair trips in the past year.
- Vehicles -- number of cars for which owners provided 9+ months of data
- Mon/veh -- average number of months of data per vehicle
- Odometer -- average odometer reading on September 30, in miles; under 9,000 per year in green, over 15,000 per year in red
General Notes
Note the sample sizes in the right column. For a precise Nada-odds, it'd be best to have 50+ cars. For Lemon-odds, 100+. In most cases the sample sizes are between 25 and 35, and differences of less than six points are probably not meaningful. This is especially a factor with the "Lemon-odds," where nearly all scores are low.
That said, the Lemon-odds figures are probably much lower than many people suspected, so we've posted them. Similarly, the Nada-odds are probably higher than many people suspected. Even with the least reliable cars in this results set your odds of no repairs would be better than one in three. Surprised?
Methodology
Description of the research process.
The samples include cars for which we have at least nine months of data in the past year. The "Nada-odds" are adjusted based on the average number of months of data per car. These stats are very close to what they'd be if we included only cars with a full year of data.
Only successfully completed repairs are currently included in the analysis. Recalls and problems fixed with just a reflash or warning light reset are not included.
You can help provide more comprehensive and more precise future results by joining the panel.


