Top Makes and Models with DTC P0128

Problems relating to diagnostic trouble code P0128 are among the most common. These troubles can impact most makes. However, FIXD sensor data shows that the following cars have the highest reported levels of code P0128 occurrences: 

• Chevrolet Impala
• Chevrolet Silverado 1500
• Chevrolet Malibu
• Dodge Grand Caravan
• Ford F-150
• Jeep Wrangler
• Nissan Altima

Below is an expanded look at how a P0128 code impacts numerous makes and models. This breakdown covers occurrence rates by model year (2000-2023) and separates the frequency into low, moderate, or high levels. The worst of the worst are the nine vehicles listed above. 

What is the P0128 Code?

Code P0128: Coolant Temperature Below Thermostat Regulating Temperature is triggered when the engine doesn’t reach its normal operating temperature within a specified time after a cold start. This indicates that the engine is running cooler than it should, which can lead to decreased fuel efficiency, increased emissions, and damage to the catalytic converter in some cases. The most common cause is a faulty thermostat stuck open, preventing the engine from warming up properly. Other potential causes include low coolant levels, a malfunctioning coolant temperature or intake air temperature sensor, issues with the radiator fan, or, in rare cases, a problem with the engine control module. Driving with a P0128 code for a week or two is fine, but don’t ignore this check engine light. Get the problem fixed to avoid more expensive problems later on. 

Read the complete article on P0128 Engine Code | Coolant Temperature Below Thermostat Regulating Temperature to discover the trouble areas to consider. This resource also offers tips on diagnosing the problem and what a DIYer can do to tackle a P0128 code independently (and when not to). 

Top Models for P0128 Codes 

Here’s a look at the makes and models most likely to have P0128 codes, according to FIXD sensor data. The absence of a model year ranking indicates no P0128 code was detected among the analyzed years, insufficient data, or the model wasn’t in production.