Government Smart Parking Sensor Log
This dataset provides detailed logs from government-operated smart parking sensors, including occupancy events, fault detections, energy consumption, and maintenance activities. Each record is enriched with sensor and parking spot identifiers, precise location information, and event-specific details, making it ideal for smart city analytics, operational optimization, and infrastructure monitoring.
Sample rows
preview · 8 of 120 rows · all 19 columns| event_idstring | event_typestring | battery_level_percentfloat | occupancy_statusboolean | maintenance_typestring | sensor_idstring | parking_spot_idstring | event_timestampdatetime | fault_codestring | fault_descriptionstring | energy_consumed_whfloat | maintenance_performed_bystring | location_street_addressstring | location_citystring | location_statestring | location_postal_codestring | location_countrystring | sensor_modelstring | firmware_versionstring |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| EVT-00001 | occupancy | blank | true | blank | SNSR-101A | PSP-001 | 2023-01-03T09:15:00 | blank | blank | blank | blank | 101 Market St | San Francisco | CA | 94105 | USA | XSENSE-2021 | v2.5.1 |
| EVT-00002 | occupancy | blank | false | blank | SNSR-102A | PSP-002 | 2023-01-03T09:16:00 | blank | blank | blank | blank | 102 Market St | San Francisco | CA | 94105 | USA | XSENSE-2021 | v2.5.1 |
| EVT-00003 | occupancy | blank | true | blank | SNSR-201B | PSP-003 | 2023-01-03T09:17:00 | blank | blank | blank | blank | 201 King St | Toronto | ON | M5H 1A1 | Canada | PARK-ALPHA | v3.0.0 |
| EVT-00004 | occupancy | blank | false | blank | SNSR-202B | PSP-004 | 2023-01-03T09:18:00 | blank | blank | blank | blank | 202 King St | Toronto | ON | M5H 1A1 | Canada | PARK-ALPHA | v3.0.0 |
| EVT-00005 | occupancy | blank | true | blank | SNSR-301C | PSP-005 | 2023-02-10T07:45:00 | blank | blank | blank | blank | 301 Oxford St | London | Greater London | W1D 2LT | UK | URBAN-SENSE | v4.1.2 |
| EVT-00006 | occupancy | blank | true | blank | SNSR-302C | PSP-006 | 2023-02-10T07:46:00 | blank | blank | blank | blank | 302 Oxford St | London | Greater London | W1D 2LT | UK | URBAN-SENSE | v4.1.2 |
| EVT-00007 | occupancy | blank | false | blank | SNSR-401D | PSP-007 | 2023-03-01T22:59:59 | blank | blank | blank | blank | 401 Rue de Rivoli | Paris | Île-de-France | 75001 | France | VISTA-DELUXE | v1.8.7 |
| EVT-00008 | energy | 89.5 | blank | blank | SNSR-501E | PSP-008 | 2023-03-01T23:00:01 | blank | blank | 2.34 | blank | 501 Queen St | Toronto | ON | M5V 2B7 | Canada | VISTA-DELUXE | v1.8.7 |
| EVT-00009 | energy | 97.2 | blank | blank | SNSR-502E | PSP-009 | 2023-03-01T23:00:02 | blank | blank | 0.04 | blank | 502 Queen St | Toronto | ON | M5V 2B7 | Canada | VISTA-DELUXE | v1.8.7 |
| EVT-00010 | energy | 45.3 | blank | blank | SNSR-601F | PSP-010 | 2023-04-15T11:11:11 | blank | blank | 0.01 | blank | 601 Main St | Denver | CO | 80202 | USA | XSENSE-2023 | v3.1.0 |
| EVT-00011 | energy | 0 | blank | blank | SNSR-602F | PSP-011 | 2023-04-15T12:00:00 | blank | blank | 9999.99 | blank | 602 Main St | Denver | CO | 80202 | USA | XSENSE-2023 | v3.1.0-beta |
| EVT-00012 | energy | 62.1 | blank | blank | SNSR-701G | PSP-012 | 2023-05-20T18:30:00 | blank | blank | 0.25 | blank | 701 Rue Neuve | Brussels | Brussels-Capital | 1000 | Belgium | SENZOR-MAX | v2.9.0 |
| EVT-00013 | energy | 88 | blank | blank | SNSR-702G | PSP-013 | 2023-05-20T18:31:00 | blank | blank | 1.87 | blank | 702 Rue Neuve | Brussels | Brussels-Capital | 1000 | Belgium | SENZOR-MAX | v2.9.0 |
| EVT-00014 | fault | blank | blank | blank | SNSR-801H | PSP-014 | 2023-06-02T05:45:00 | F002 | Battery voltage below threshold | blank | blank | 801 Queen St | Liverpool | Merseyside | L1 1AA | UK | VISTA-DELUXE | v1.8.7 |
| EVT-00015 | fault | blank | blank | blank | SNSR-802H | PSP-015 | 2023-06-02T05:46:00 | F001 | Sensor communication error | blank | blank | 802 Queen St | Liverpool | Merseyside | L1 1AA | UK | VISTA-DELUXE | v1.8.7-beta |
| EVT-00016 | fault | blank | blank | blank | SNSR-901I | PSP-016 | 2023-07-12T16:00:00 | F999 | Unknown error, requires manual inspection | blank | blank | 901 Avenida Paulista | São Paulo | SP | 01311-000 | Brazil | blank | blank |
| EVT-00017 | fault | blank | blank | blank | SNSR-902I | PSP-017 | 2023-07-12T16:01:00 | blank | blank | blank | blank | 902 Avenida Paulista | São Paulo | SP | 01311-000 | Brazil | blank | blank |
| EVT-00018 | fault | blank | blank | blank | SNSR-1001J | PSP-018 | 2023-08-05T14:00:00 | F003 | Sensor lens obstruction | blank | blank | 1001 Avenida Diagonal | Barcelona | Community of Madrid | 08028 | Spain | GAMMA-PARK | v1.9.3 |
| EVT-00019 | fault | blank | blank | blank | SNSR-1002J | PSP-019 | 2023-08-05T14:01:00 | F004 | Solar panel not detected | blank | blank | 1002 Avenida Diagonal | Barcelona | Community of Madrid | 08028 | Spain | SUN-PARK | v2.0.0 |
| EVT-00020 | maintenance | blank | blank | battery replacement | SNSR-1101K | PSP-020 | 2023-09-09T10:00:00 | blank | blank | blank | Technician-James | 1101 Broadway | New York | NY | 10010 | USA | XSENSE-2021 | v2.5.2 |
What the 120 rows show
from the 120-row sample- 54%occupancy_
status = true - 50.0median battery_
level_ percent - 8sensor models
- 11location countries
- 19location states
- 20location cities
Median 50.0, from 0.0 to 100.0.
- string 15
- float 2
- datetime 1
- boolean 1
Columns
19 columns in four groups| column | type | description | example |
|---|---|---|---|
| Text 15 columns | |||
event_id | string | Unique identifier for each sensor event log entryunique | EVT-00001 |
sensor_id | string | Unique identifier for the parking sensor device | SNSR-101A |
parking_spot_id | string | Unique identifier for the parking spot monitored by the sensor | PSP-001 |
event_type | string | Type of event detected by the sensor (e.g., occupancy, fault, maintenance, energy)occupancy · fault · maintenance · energy | occupancy |
fault_code | string | Code representing the type of fault detected; applicable when event_type is 'fault'optional | F002 |
fault_description | string | Detailed description of the fault; applicable when event_type is 'fault'optional | Sensor lens obstruction |
maintenance_type | string | Type of maintenance performed (e.g., battery replacement, sensor calibration); applicable when event_type is 'maintenance'4 types · optional | battery replacement |
maintenance_performed_by | string | Identifier or name of the technician or team who performed maintenance; applicable when event_type is 'maintenance'optional | Technician-James |
location_street_address | string | Street address of the parking spot | 101 Market St |
location_city | string | City where the parking spot is located | San Francisco |
location_state | string | State or region where the parking spot is located | CA |
location_postal_code | string | Postal code for the parking spot location | 94105 |
location_country | string | Country where the parking spot is located11 countries | USA |
sensor_model | string | Model identifier of the parking sensor device8 models · optional | XSENSE-2021 |
firmware_version | string | Firmware version currently installed on the sensoroptional | v2.5.1 |
| Numbers 2 columns | |||
energy_consumed_wh | float | Amount of energy consumed by the sensor during the event, in watt-hours; applicable when event_type is 'energy'0 or more · optional | 2.34 |
battery_level_percent | float | Current battery level of the sensor as a percentage (0-100); applicable for energy events0 to 100 · optional | 89.5 |
| Dates and times 1 column | |||
event_timestamp | datetime | Date and time when the event was recorded | 2023-01-03T09:15:00 |
| True or false 1 column | |||
occupancy_status | boolean | True if the parking spot is occupied, false if vacant; applicable when event_type is 'occupancy'optional | true |
Use it for
A government dashboard
The occupancy_
status rate, battery_ level_ percent by event_ type and a breakdown of maintenance_ type. Excel, Power BI or Tableau. Why do 21 of 39 rows have occupancy_
status = true? A class exercise
Hand out the rows and one question. Everyone works from the same 120 rows.
- Events120EVT-00001occupancyEVT-00002occupancyEVT-00003occupancy
A software demo
Believable events with sensor_
id, parking_ spot_ id and event_ timestamp to fill a screen in front of a buyer.
blueprint · government-smart-parking-sensor-log
Behind this dataset
Same schema. As many rows as you need.
These 120 rows came out of a blueprint — 19 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.
- Each sensor event includes timestamp, sensor ID, occupancy status, and energy usage.
- Fault events must include error codes and severity.
- Maintenance events are logged only after specific fault types.
- Energy consumption is recorded in kilowatt-hours per hour of occupancy.
- Only sensors deployed in public parking zones are included.
1 credit per row. Preview 20 rows free. Buy rows for the full run.
- Exports
- CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
- Licence
- yours to use, including commercially
- API slug
- government-smart-parking-sensor-log