Summary of Traffic Stops Statistics
Cary Police Department
The following report compiles and presents statistical summaries of traffic stops statistics drawn from the NC State Bureau of Investigation database to which each police agency reports their statistics each month. Data in this report cover the period of 2002 through 2020. The data exclude checkpoint stops because such stops are not recorded systematically. The data also include only the driver of the vehicle, excluding any passengers. Passenger information is generally recorded only in the event of an adverse outcome (e.g., search, arrest).
This report provides the following summary statistics:
First is a table providing summary statistics on numbers of stops, searches, contraband hits, and arrests, as well as relevant rates of these outcomes. This is followed by a series of graphics displaying department and officer level data.
| Summary of outcomes | State-wide | CPD |
|---|---|---|
| Stops | 24,980,776 | 324,732 |
| Traffic Safety Stops | 13,365,910 | 181,921 |
| Searches | 763,343 | 5,149 |
| Hits | 280,152 | 2,135 |
| Arrests | 500,040 | 4,645 |
| Arrest From Hit From Search | 105,784 | 887 |
| Consent Searches | 346,475 | 1,799 |
| Arrest From Hit From Consent Search | 20,759 | 122 |
| Probable Cause Searches | 264,963 | 2,324 |
| Arrest From Hit From Probable Cause Search | 54,326 | 548 |
| Percent Traffic Safety Stops | 53.50% | 56.02% |
| Search Rate Per Stop | 3.06% | 1.59% |
| Hit Rate Per Search | 33.48% | 36.38% |
| Arrest Rate Per Hit | 38.85% | 43.04% |
| Hit-and-Arrest Rate Per Search | 13.86% | 17.23% |
| Hit-and-Arrest Rate Per Probable Cause Search | 20.50% | 23.58% |
| Hit-and-Arrest Rate Per Consent Search | 5.99% | 6.78% |
| Arrest Rate Per Stop | 2.00% | 1.43% |
| Hit-and-Arrest Rate Per Stop | 0.42% | 0.27% |
Numbers at top of the table show raw values; numbers below are the percentages based on the numbers above.
Figure 1 shows the total number of stops per year from 2002-2020. Numbers range from just below 10,000 (in 2020) to 27,000 (in 2010). There is a drop associated with the global pandemic in 2020.
Figure 2. Percent of stops by race-gender category
Figure 2 shows the total number of traffic stops by race and gender from 2002-2020. For example, in 2002, roughly 42% of total traffic stops were of white males, roughly 9% of stops were of black males, roughly 6% were of black females, and roughly 30% were of white females. White drivers’ share of those stopped decreased over the timeframe. Black drivers, on the other hand, slightly increased as a proportion of total stops.
Figure 3. Percent of stops for “safety” purposes (speeding, stop sign, DUI, unsafe movement)
Figure 3 shows the percentage of traffic stops that are considered safety-related for each respective race and gender grouping, from 2002-2020. Safety-related spots are composed of stops due to speeding, stop sign violations, DWI, and unsafe movement. Stops for violations other than this are classified as non-safety related. These are composed of non-moving violations such as equipment violations and expired tags. For this reason, non-safety-related stops can be considered to be used as informal criminal investigations. Each race and gender grouping follows a similar trend from 2002-2020. All drivers had relatively similar percentages of safety-related stops across the time period, generally within a 10% window. Black drivers still had the lowest percentage of their stops classified as safety-related in almost every year recorded, although the disparity is not as great as in other comparable departments (as evidenced in other reports).
Figure 4. Percent of stops resulting in a search, by race-gender category
Figure 4 shows the percent of traffic stops that result in a search for each respective race and gender grouping, from 2002-2020. The Figure indicates that most traffic stops do not result in a search. For all categories except black males, drivers were searched at less than a 4% rate across the time period. Black males were typically searched more frequently, having the highest rate in all recorded years with the exception of 2003. From 2011-2020, black males were searched in between 3 and 6% of traffic stops, while white males were searched between 1 and 3%. White and black female drivers experienced similar levels of search rates over the time period, with both groups being searched at a lower rate than white and black males.
Figure 5. Percent of stops resulting in arrest, by race-gender category
Figure 5 shows the percent of traffic stops that result in an arrest for each respective race and gender grouping, from 2002-2020. Across the board, arrest rates are consistently very low, at under 4% for all categories across the time period. From 2002-2010, black and white males were arrested at relatively similar rates. The disparity increased from 2011 to 2020, as black males were arrested at almost double the rate of white males. Females, regardless of race, are arrested at lower rates than males in almost every year across the time period (with the exception of 2018, when black females slightly surpassed white males).
Figure 6. Percent of stops resulting in contraband and arrest, by race-gender category
Figure 6 shows the percent of stops that resulted in the discovery of contraband and an arrest for each respective race and gender grouping, from 2002-2020. The rates are very low for each category. White males, white females, and black females all have rates of less than 1% across the time period with very little variation. The rates for black males have increased slightly post-2010, from effectively 0% of stops in 2010 to 2% of stops in 2020 resulting in contraband and arrest. White males also showed an increase in rates of contraband and arrest in the latter half of the time period, but not to the same degree as black males. Overall, for all race and gender categories, traffic stops are overwhelmingly unlikely to result in contraband and arrest.
Figure 7. Black-White Ratio of search rates and arrest rates, for males
Figure 7 compares the search rate and arrest rate of black males and white males from 2002-2020. The search rate ratio is the search rate of black males divided by the search rate of white males, while the arrest rate ratio is the arrest rate of black males divided by the arrest rate of white males. A search rate ratio of 1.0 would indicate that black and white males are both searched in an equal percentage of their respective traffic stops. This similarly applies for the arrest rate ratios. Across the time period, the search rate ratio is consistently above 1, and has great variation year-to-year. This means that black males are searched much more frequently than white males in most years across the time period, with the exception of 2003. The arrest rate ratio also is consistently above 1 (with the exception of 2006, 2007, and 2010). It is typically lower than the search rate ratio, but surpasses it in certain instances, such as in 2009. This means that in most years recorded, black males are arrested at a greater rate than white males, but not to the degree that they are disproportionately searched.
Figure 8. Black-White Ratio of search rates and arrest rates, for females
Figure 8 compares the search rate and arrest rate of black females and white females from 2002-2020. The search rate ratio is the search rate of black females divided by the search rate of white females, while the arrest rate ratio is the arrest rate of black females divided by the arrest rate of white females. A search rate ratio of 1.0 would indicate that black and white females are both searched in an equal percentage of their respective traffic stops. Both the search rate ratio and the arrest rate ratio have a high degree of variance across the time period. The search rate ratio ranges from roughly 0.6 to 2.5, and the arrest rate ratio ranges from 0.3 to 2.7.
Figure 9. Summary of stops by hour over the week: Stops, percent safety-related, percent ending in citation, search, and arrest
Figure 9 displays the number of traffic stops, the percent of safety related stops, the percentage of drivers receiving a citation, the percentage of drivers searched, and the percentage of drivers arrested across the hours of the week. The Figure indicates that there is not much variation between the days of the week in regard to these measures, and instead shows that the variation is seen within the hours of the day. There are a few noticeable trends throughout the week, however. Stops occur most frequently on Wednesday and Thursday relative to other days of the week. Search and arrest rates are slightly higher in the very early morning (directly after midnight) on Saturdays and Sundays.
Figure 10. Summary of stops by hour over the day: Stops, percent safety-related, percent ending in citation, search, and arrest
Figure 10 displays the number of traffic stops, the percent of safety related stops, and the percent of drivers searched, given a citation, and arrested by hour of day. There are a number of clear trends indicated in the Figure. The frequency of a traffic stop is lowest in the early hours of the morning, from around 3AM to 6AM. The number of traffic stops increases until 10AM, at which the frequency is similar until around 6PM. From 6PM to 10PM stops increase. At 10PM, the frequency of stops begins to drop again until the low point in the early morning.
The percentages of drivers searched and arrested both have a similar trend across the time of day. Drivers are both searched and arrested at the highest rate in the few hours after midnight, and then these rates of search and arrest decrease dramatically until 6AM. After 6AM, the rate of both search and arrest is at extremely low percentages, and these rates are maintained until nighttime hours, when they begin to slowly increase.
The percentage of drivers receiving a citation follows an opposite trend of search and arrest rates. The rate of citations given is at its lowest from 9PM to 4AM, and then in the following hours steadily increases. The rate is significantly higher during daytime hours as compared to nighttime hours.
The percent of safety-related stops varies throughout the day, reaching its highest point at 7AM, and maintaining at around this rate until 2PM. The frequency of safety-related stops then steadily decreases for the rest of the day until a minimum is reached at 10PM. From 10PM to 7AM the rate then increases.
Figure 11. Hourly breakdown of percent of stops by race-gender category
Figure 11 displays the share of overall stops represented by the respective race and gender categories by hour of day. The Figure indicates that white males make up the highest percentage of stops across the day, at roughly 35% regardless of time of day. The Figure also indicates that black males are more likely to be stopped during the nighttime hours directly before and after midnight than they are to be stopped during the daytime. At 4AM, black males reach a high of 23% of those that are pulled over, and by 7AM their share of stops decreases to less than 10%, and stays at a lower proportion of stops throughout the daytime hours. Black females make up a relatively consistent share of traffic stops throughout the day, at around 10%. White females see a significant uptick in their proportion of stops during the daytime hours, nearing the rates of white males during this portion of the day.
Figure 12. Hourly breakdown of percent of stops related to traffic safety, by race-gender category
Figure 12 displays the percentage of stops that are for safety-related purposes for each race and gender category, by hour of the day. Safety-related purposes refer to traffic stops that are meant to prevent moving violations, and effectively keep the road safe. Stops that are not safety-related are often used for investigatory purposes, in which case the officer is generally seeking to conduct an informal criminal investigation of the driver. As evidenced in the Figure, all race and gender categories have similar rates of safety-related stops throughout the course of the day. Across much of the day, black males still have the lowest percentage of their stops classified as safety-related, but this disparity is not overly significant (relative to the departments across North Carolina displayed in other reports).
Figure 13. Hourly breakdown of percent of stops resulting in search, by race-gender category
Figure 13 displays the percentage of traffic stops which result in a search for each race and gender category, by hour of the day. During the early morning hours directly after midnight, all drivers experience higher search rates, with white males experiencing the highest rates. During the daytime hours, while all drivers experience lower rates of search as compared to the early morning, black males have significantly higher search rates as compared to all other drivers. White males and all female drivers have a similar percentage of stops leading to a search from 6AM to 7PM, at between roughly 0 to 1%. During this portion of the day, black males are searched in roughly 1 to almost 5% of stops. The Figure also indicates that a majority of stops do not result in a search regardless of race and gender category or time of day.
Figure 14. Hourly breakdown of percent of stops resulting in arrest, by race-gender category
Figure 14 displays the percentage of traffic stops which result in an arrest for each race and gender category, by hour of the day. For all categories, drivers are more likely to be arrested during nighttime hours, specifically the hours directly after midnight. Stops are most likely to result in an arrest from midnight to 4AM. Black males are more likely to be arrested than all other drivers from 5AM to 11PM, which constitutes a large majority of the day. The Figure also indicates that a large majority of stops do not result in an arrest regardless of race and gender category or time of day.
Figure 15. Number of stops by officer
Figure 15 displays the distribution of number of stops by officer across the 2002-2020 time period. All officers displayed have over 100 traffic stops. 265 of the 351 officers included in the data have less than 1000 traffic stops.
Figure 16. Percent black of drivers pulled over by officer
Figure 16 displays the percentage of stopped drivers that are black for individual officers, from 2002-2020. The distribution includes officers with greater than 100 traffic stops. For the median officer, 19.5% of stops are of black drivers, while black people only make up 7.6% of the population in the city. This means that a majority of officers are stopping black drivers at a rate disproportionate to their share of the population. This disparity between stop behavior and population data is often greater, with black drivers composing more than 25% of stops for a significant portion of officers. At the far right, the Figure shows that there are 80 officers whose mix of drivers stopped is more than 25% black.
Figure 17. Officer search rates by race
Figure 17 displays the search rates of individual officers for the given race and gender category. The criteria for an officer’s inclusion is 100 or more traffic stops, as well as at least 50 stops of the specified race and gender category, from 2002-2020. In the first graph, the median officer has a search rate of 2.29%, meaning that black male drivers are searched in 2.29% of traffic stops. Many officers have search rates that are higher than this median value, meaning that searches occur more often for certain officers in traffic stops involving black males. For white male drivers, the median officer has a search rate of 1.16%. This indicates that the median officer in Cary is searching black males at a higher rate than they are searching white males.
Figure 18. Black-White Ratio of search rates by officer, for males
Figure 18 displays the distribution of black-white male search rate ratios across the officers which meet the criteria. The criteria for an officer’s inclusion is 50 traffic stops of both white males and black males, from 2002-2020. The “Black-white male search rate ratio” can be interpreted as an officer’s search rate of black male drivers divided by their search rate of white male drivers. An racially equitable outcome would therefore be 1, meaning that black and white male drivers are searched in an equal percentage of traffic stops. The median officer instead has a search rate ratio of 1.7, meaning that the median officer searches black male drivers at a higher rate than white male drivers. A significant number of officers have search-rate ratios that are much higher than the median, with some searching black male drivers at 3 or more times the rate of white male drivers.
Figure 19. Search rate versus hit rate by officer
Figure 19 presents the hit rates and search rates of individual officers who meet the criteria. As evidenced by the low correlation, there is great variability in both the propensity of individual officers to search drivers and their success in finding contraband. One might expect that when officers have a high search rate but a low hit rate, that their supervisors would advise them to adjust their search rate in order to avoid so many fruitless searches. Similarly, for officers with low search rates but high hit rates, one might expect supervisors to instruct them to conduct more searches because they are being too cautious. Such a learning process would generate relative consistent hit rates; where officers are too high, they would be advised to do more searches, and where too low, to conduct fewer. The Figure shows clearly that this is not happening. Search and hit rates range from low to high, with a very low correlation between the two. Certain officers search drivers at extremely high rates but have very low hit rates, meaning that their threshold of suspicion is likely too low. Other officers search at a much lower rate and have very high hit rates, showing that their threshold of suspicion may be too high. Overall, the Figure shows that officers are not gravitating towards a single common range of hit rates. This suggests that the department does not seem to hold its officers to a common standard of search rate success. Rather, each officer decides for him or herself how aggressive to be in searching, with virtually no guarantee that more searches will lead to lower hit rates, or that fewer searches will be targeted on those most likely to have contraband.