Pedestrian Violations ONLY - Traffic Violations Related to Pedestrian Safety
data.montgomerycountymd.gov | Last Updated 31 Aug 2023This dataset contains traffic violation information from all electronic traffic violations issued in the County. Any information that can be used to uniquely identify the vehicle, the vehicle owner or the officer issuing the violation will not be published. Update Frequency: Daily
This dataset has the following 43 columns:
| Column Name | API Column Name | Data Type | Description | Sample Values |
|---|---|---|---|---|
| SeqID | seq_id | text | Unique traffic stop ID | fcce3399-d221-4dbf-bcdd-0925b98e2b7c e94e9d6b-14ba-44d7-ac2f-cf0d953b7486 bc2dd10d-7022-4b12-a095-a6de327a20dd 4be563a3-e356-4b43-9d7b-9993df2cc04e 638b5d33-269c-4724-893a-7afeb1e51c82 view top 100 |
| Date Of Stop | date_of_stop | calendar_date | Date of the traffic violation. | 2015-11-04T00:00:00.000 2017-08-30T00:00:00.000 2015-01-28T00:00:00.000 2015-01-20T00:00:00.000 2017-09-14T00:00:00.000 view top 100 |
| Time Of Stop | time_of_stop | text | Time of the traffic violation. | 16:27:00 16:07:00 11:28:00 11:33:00 11:57:00 view top 100 |
| Agency | agency | text | Agency issuing the traffic violation. (Example: MCP is Montgomery County Police) | MCP view top 100 |
| SubAgency | subagency | text | Court code representing the district of assignment of the officer. R15 = 1st district, Rockville B15 = 2nd district, Bethesda SS15 = 3rd district, Silver Spring WG15 = 4th district, Wheaton G15 = 5th district, Germantown M15 = 6th district, Gaithersburg / Montgomery Village HQ15 = Headquarters and Special Operations | 4th District, Wheaton 3rd District, Silver Spring 2nd District, Bethesda 1st District, Rockville Headquarters and Special Operations view top 100 |
| Description | description | text | Text description of the specific charge. | PEDESTRIAN CROSSING ROADWAY BETWEEN ADJACENT INTERSECTIONS HAVING TRAFFIC CONTROL SIGNAL PEDESTRIAN FAIL TO OBEY "UPRAISED HAND" SIGNAL PEDESTRIAN FAIL TO OBEY UPRAISED HAND SIGNAL PEDESTRIAN FAIL TO OBEY "DONT WALK", "UPRAISED HAND" SIGNAL PEDESTRIAN UNSAFELY CROSSING IN PATH OF VEH. view top 100 |
| Location | location | text | Location of the violation, usually an address or intersection. | VEIRS MILL RD @ RANDOLPH RD ODEND HAL AVE @ RUSSELL AVE VEIRS MILL RD / RANDOLPH RD LAYHILL RD @ GEORGIA AVE GEORGIA AVE AND CONNECTICUT AVE view top 100 |
| Latitude | latitude | number | Latitude location of the traffic violation. | 0 38.98197 39.0611033333333 39.0398466666667 39.0855 view top 100 |
| Longitude | longitude | number | Longitude location of the traffic violation. | 0 -77.0512533333333 -77.093355 -77.0546233333333 -77.1224266666667 view top 100 |
| Accident | accident | text | YES if traffic violation involved an accident. | No Yes view top 100 |
| Belts | belts | text | YES if seat belts were in use in accident cases. | No Yes view top 100 |
| Personal Injury | personal_injury | text | Yes if traffic violation involved Personal Injury. | No Yes view top 100 |
| Property Damage | property_damage | text | Yes if traffic violation involved Property Damage. | No Yes view top 100 |
| Fatal | fatal | text | Yes if traffic violation involved a fatality. | No Yes view top 100 |
| Commercial License | commercial_license | text | Yes if driver holds a Commercial Drivers License | No Yes view top 100 |
| HAZMAT | hazmat | text | Yes if the traffic violation involved hazardous materials. | No view top 100 |
| Commercial Vehicle | commercial_vehicle | text | Yes if the vehicle committing the traffic violation is a commercial vehicle. | No view top 100 |
| Alcohol | alcohol | text | Yes if the traffic violation included an alcohol related suspension. | No view top 100 |
| Work Zone | work_zone | text | Yes if the traffic violation was in a work zone. | No Yes view top 100 |
| Search Conducted | search_conducted | text | Yes if a search was conducted. | No Yes view top 100 |
| Search Disposition | search_disposition | text | The disposition of the search. | Nothing Contraband Only Property Only Contraband and Property view top 100 |
| Search Outcome | search_outcome | text | Resulting outcome of the search. | Warning Citation Arrest view top 100 |
| Search Reason | search_reason | text | The reason for the search. | Consensual Incident to Arrest Probable Cause Other K-9 view top 100 |
| Search Reason For Stop | search_reason_for_stop | text | The reason for the stop that lead to a search. | 21-203(c) 21-503(c) 21-502(b) 21-503(a) 21-506(a) view top 100 |
| Search Type | search_type | text | Type of search (Person, Property, Both, etc.) | Person Both Property view top 100 |
| Search Arrest Reason | search_arrest_reason | text | The arrest reason from the search. | Search Warrant Other Stop view top 100 |
| State | state | text | State issuing the vehicle registration. | XX MD DC VA CA view top 100 |
| VehicleType | vehicle_type | text | Type of vehicle (Examples: Automobile, Station Wagon, Heavy Duty Truck, etc.) | 29 - Unknown 28 - Other 02 - Automobile 05 - Light Duty Truck 01 - Motorcycle view top 100 |
| Year | year | text | Year vehicle was made. | 0 2016 2015 2017 2018 view top 100 |
| Make | make | text | Manufacturer of the vehicle (Examples: Ford, Chevy, Honda, Toyota, etc.) | NONE XX N/A PEDESTRIAN XXX view top 100 |
| Model | model | text | Model of the vehicle. | NONE XX N/A XXX PERSON view top 100 |
| Color | color | text | Color of the vehicle. | N/A WHITE BLACK SILVER GRAY view top 100 |
| Violation Type | violation_type | text | Violation type. (Examples: Warning, Citation, SERO) | Warning Citation view top 100 |
| Charge | charge | text | Numeric code for the specific charge. | 21-503(c) 21-203(c) 21-502(b) 21-503(a) 21-506(a) view top 100 |
| Article | article | text | Article of State Law. (TA = Transportation Article, MR = Maryland Rules) | Transportation Article view top 100 |
| Contributed To Accident | contributed_to_accident | text | If the traffic violation was a contributing factor in an accident. | False True view top 100 |
| Race | race | text | Race of the driver. (Example: Asian, Black, White, Other, etc.) | BLACK WHITE HISPANIC ASIAN OTHER view top 100 |
| Gender | gender | text | Gender of the driver (F = Female, M = Male) | M F U view top 100 |
| Driver City | driver_city | text | City of the driver’s home address. | SILVER SPRING GAITHERSBURG GERMANTOWN ROCKVILLE WASHINGTON view top 100 |
| Driver State | driver_state | text | State of the driver’s home address. | MD DC VA NY PA view top 100 |
| DL State | dl_state | text | State issuing the Driver’s License. | MD XX DC VA NY view top 100 |
| Arrest Type | arrest_type | text | Type of Arrest (A = Marked, B = Unmarked, etc.) | A - Marked Patrol B - Unmarked Patrol O - Foot Patrol L - Motorcycle M - Marked (Off-Duty) view top 100 |
| Geolocation | geolocation | location | Geo-coded location information. | view top 100 |