Fleet Carbon Reduction Tracking
This dataset provides granular, time-based tracking of carbon emissions for corporate vehicle fleets, including vehicle specifications, fuel and energy usage, emission factors, and applied reduction strategies. It is optimized for ESG reporting, compliance monitoring, and benchmarking emission reduction initiatives across logistics and mobility operations.
Sample rows
preview · 8 of 120 rows · all 25 columns| fleet_idstring | vehicle_typestring | carbon_emissions_kgfloat | reduction_strategy_appliedboolean | vehicle_makestring | fleet_namestring | vehicle_idstring | vehicle_modelstring | vehicle_yearinteger | registration_numberstring | emission_reporting_period_startdate | emission_reporting_period_enddate | total_distance_travelled_kmfloat | fuel_typestring | fuel_consumed_litersfloat | energy_consumed_kwhfloat | emission_factorfloat | reduction_strategy_typestring | compliance_statusstring | esg_reporting_referencestring | location_street_addressstring | location_citystring | location_statestring | location_postal_codestring | location_countrystring |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| FLEET-001 | electric | 186.5 | true | Tesla | Eco Movers | VEH-10001 | Model 3 | 2021 | TXU8431 | 2023-01-10 | 2023-06-10 | 5220.8 | electric | 0 | 1350.2 | 0.14 | driver_training | compliant | ESG-ECO-10001 | 1342 Westfield Ave | Dallas | TX | 75201 | USA |
| FLEET-002 | truck | 31594.5 | false | Volvo | Heavy Haul | VEH-10002 | FH16 | 2014 | VGH4827 | 2023-03-01 | 2023-09-01 | 60213.7 | diesel | 12220.3 | 0 | 2.58 | blank | non-compliant | ESG-HHA-10002 | 213 Industrial Rd | Birmingham | AL | 35203 | USA |
| FLEET-003 | van | 11300.7 | true | Ford | Urban Mobility | VEH-10003 | Transit | 2019 | FDU3169 | 2022-07-15 | 2023-01-15 | 25578.2 | diesel | 4398.6 | 0 | 2.57 | route_optimization | compliant | ESG-URB-10003 | 42 Piccadilly | Manchester | England | M1 1AF | UK |
| FLEET-004 | electric | 118.7 | true | BYD | ZeroCO2 | VEH-10004 | Tang EV | 2022 | BYC2941 | 2023-05-01 | 2023-10-01 | 8799.8 | electric | 0 | 1784.7 | 0.13 | other | compliant | ESG-ZCO-10004 | 1288 Jingan Rd | Shanghai | Shanghai | 200000 | China |
| FLEET-005 | truck | 35488.8 | false | Scania | Cargo South | VEH-10005 | R500 | 2012 | SCB7519 | 2023-06-10 | 2023-12-10 | 73550.5 | diesel | 13756.8 | 0 | 2.58 | blank | non-compliant | ESG-CGS-10005 | Av. Paulista 901 | São Paulo | SP | 01311-000 | Brazil |
| FLEET-006 | hybrid | 419.6 | true | Toyota | Green Fleet | VEH-10006 | Prius | 2018 | TYH4892 | 2023-04-01 | 2023-10-01 | 11215.3 | hybrid | 220.7 | 63.5 | 1.95 | fuel_switch | compliant | ESG-GRF-10006 | 77 Elizabeth St | Sydney | NSW | 2000 | Australia |
| FLEET-007 | car | 618.8 | false | Honda | FleetX | VEH-10007 | Civic | 2009 | HDX2718 | 2022-12-01 | 2023-04-01 | 3497.5 | gasoline | 238.4 | 0 | 2.33 | blank | non-compliant | ESG-FLX-10007 | 18 Main Street | Dublin | Leinster | D02X285 | Ireland |
| FLEET-008 | hybrid | 358.7 | true | Hyundai | Alpha Urban | VEH-10008 | Ioniq Hybrid | 2020 | HYN9462 | 2023-01-05 | 2023-07-05 | 7344.2 | hybrid | 176.9 | 58.2 | 1.94 | vehicle_upgrade | compliant | ESG-AUR-10008 | 21 Gangnam-daero | Seoul | Seoul | 06030 | South Korea |
| FLEET-009 | car | 142.8 | false | Renault | Last Mile | VEH-10009 | Clio | 1998 | RNL9817 | 2023-05-01 | 2023-10-01 | 543.4 | gasoline | 61.2 | 0 | 2.33 | blank | non-compliant | ESG-LMI-10009 | 12 Rue du Bac | Paris | Île-de-France | 75007 | France |
| FLEET-010 | other | 51.6 | false | Kubota | Plant Supplies | VEH-10010 | M4-071 | 2006 | KUB0742 | 2023-02-01 | 2023-08-01 | 319.8 | other | 20.7 | 0 | 2.5 | blank | pending | ESG-PLS-10010 | 4884 Maple Lane | Toronto | ON | M5V3H9 | Canada |
| FLEET-011 | car | 671.1 | true | BMW | Premium Autos | VEH-10011 | 330e | 2017 | BMW6731 | 2023-03-01 | 2023-09-01 | 12819.9 | hybrid | 312.4 | 85.3 | 1.95 | fuel_switch | compliant | ESG-PRA-10011 | 11 Oxford St | London | England | W1D1AP | UK |
| FLEET-012 | van | 16366.1 | true | blank | TechMobility | VEH-10012 | blank | 2022 | TMX1448 | 2023-07-01 | 2023-12-01 | 38176.7 | diesel | 6345.2 | 0 | 2.58 | vehicle_upgrade | compliant | ESG-TMO-10012 | 45 Keizersgracht | Amsterdam | Noord-Holland | 1017DK | Netherlands |
| FLEET-013 | car | 269.5 | false | Peugeot | Quick Courier | VEH-10013 | 208 | 2011 | PEQ1706 | 2023-02-15 | 2023-08-15 | 1429.1 | gasoline | 115.7 | 0 | 2.32 | blank | non-compliant | ESG-QCO-10013 | 19 King Street | Edinburgh | Scotland | EH12QN | UK |
| FLEET-014 | other | 42.7 | true | Piaggio | Night Owl | VEH-10014 | Ape | 2016 | PAG1762 | 2023-07-01 | 2023-12-01 | 192.5 | other | 15.9 | 0 | 2.7 | other | compliant | ESG-NOW-10014 | Via Roma 14 | Milan | Lombardy | 20121 | Italy |
| FLEET-015 | electric | 110.8 | true | Polestar | ZeroCO2 | VEH-10015 | 2 | 2023 | PST4918 | 2024-01-01 | 2024-06-01 | 6732.6 | electric | 0 | 1458.2 | 0.13 | driver_training | pending | ESG-ZCO-10015 | Munkbron 4 | Stockholm | Stockholm | 11128 | Sweden |
| FLEET-016 | electric | 143.2 | true | Nissan | Eco Movers | VEH-10016 | Leaf | 2019 | NSL2458 | 2022-11-01 | 2023-05-01 | 4299.8 | electric | 0 | 1032.2 | 0.14 | route_optimization | compliant | ESG-ECO-10016 | 55 Market St | San Francisco | CA | 94105 | USA |
| FLEET-017 | truck | 24669.6 | true | MAN | Cargo South | VEH-10017 | TGX | 2018 | MAN6187 | 2023-02-10 | 2023-08-10 | 48817.2 | diesel | 9563.4 | 0 | 2.58 | vehicle_upgrade | compliant | ESG-CGS-10017 | Rua Augusta 422 | Rio de Janeiro | RJ | 22040-001 | Brazil |
| FLEET-018 | van | 14725.2 | false | Mercedes-Benz | Urban Mobility | VEH-10018 | Sprinter | 2015 | MBZ2184 | 2023-03-15 | 2023-09-15 | 33877.5 | diesel | 5725.8 | 0 | 2.57 | blank | non-compliant | ESG-URB-10018 | 17 Alexanderplatz | Berlin | Berlin | 10178 | Germany |
| FLEET-019 | hybrid | 261.6 | true | Kia | Green Fleet | VEH-10019 | Niro | 2021 | KIA9547 | 2023-08-01 | 2024-02-01 | 7892.5 | hybrid | 151.1 | 58.7 | 1.92 | vehicle_upgrade | compliant | ESG-GRF-10019 | 16 Bongeunsa-ro | Seoul | Seoul | 06153 | South Korea |
| FLEET-020 | van | 10874.1 | true | Volkswagen | TechMobility | VEH-10020 | Crafter | 2020 | VWX6815 | 2023-04-20 | 2023-10-20 | 25213.2 | diesel | 4216.7 | 0 | 2.58 | route_optimization | compliant | ESG-TMO-10020 | 14 Spui | The Hague | Zuid-Holland | 2511BX | Netherlands |
What the 120 rows show
from the 120-row sampleTruck (vehicle type) stands out: mean carbon_
- 67%reduction_
strategy_ applied = true - 518.2median carbon_
emissions_ kg - 3compliance statuses
- 5fuel types
- 5reduction strategy types
- 15location countries
Median 518.2, from 36.7 to 37,314.
- string 16
- integer 1
- float 5
- date 2
- boolean 1
Columns
25 columns in four groups| column | type | description | example |
|---|---|---|---|
| Text 16 columns | |||
fleet_id | string | Unique identifier for the corporate vehicle fleet.unique | FLEET-001 |
fleet_name | string | Name of the fleet or business unit. | Eco Movers |
vehicle_id | string | Unique identifier for each vehicle within the fleet.unique | VEH-10001 |
vehicle_type | string | Type of vehicle (e.g., truck, van, car, electric, hybrid, diesel, etc.).8 values | electric |
vehicle_make | string | Manufacturer of the vehicle.optional | Tesla |
vehicle_model | string | Model name/number of the vehicle.optional | Model 3 |
registration_number | string | Official registration/license plate number of the vehicle.unique · optional | TXU8431 |
fuel_type | string | Type of fuel used by the vehicle (e.g., diesel, gasoline, electric, hybrid, etc.).diesel · gasoline · electric · hybrid · other | electric |
reduction_strategy_type | string | Type of emission reduction strategy applied (e.g., route optimization, fuel switch, driver training, etc.).5 values · optional | driver_training |
compliance_status | string | Compliance status with sustainability mandates (e.g., compliant, non-compliant, pending).compliant · non-compliant · pending · optional | compliant |
esg_reporting_reference | string | Reference code or identifier for ESG reporting purposes.optional | ESG-ECO-10001 |
location_street_address | string | Street address of the vehicle's base location or depot.optional | 1342 Westfield Ave |
location_city | string | City of the vehicle's base location or depot.optional | Dallas |
location_state | string | State or province of the vehicle's base location or depot.optional | TX |
location_postal_code | string | Postal code of the vehicle's base location or depot.optional | 75201 |
location_country | string | Country of the vehicle's base location or depot.optional | USA |
| Numbers 6 columns | |||
vehicle_year | integer | Year the vehicle was manufactured.1,990 to 2,100 · optional | 2021 |
total_distance_travelled_km | float | Total distance travelled by the vehicle during the reporting period (in kilometers).0 or more | 5220.8 |
fuel_consumed_liters | float | Total fuel consumed by the vehicle during the reporting period (in liters).0 or more · optional | 0 |
energy_consumed_kwh | float | Total energy consumed by electric vehicles during the reporting period (in kilowatt-hours).0 or more · optional | 1350.2 |
carbon_emissions_kg | float | Total calculated carbon emissions for the vehicle during the reporting period (in kilograms CO2 equivalent).0 or more | 186.5 |
emission_factor | float | Emission factor used for calculation (kg CO2e per unit of fuel or energy).0 or more · optional | 0.14 |
| Dates and times 2 columns | |||
emission_reporting_period_start | date | Start date of the reporting period for carbon emissions. | 2023-01-10 |
emission_reporting_period_end | date | End date of the reporting period for carbon emissions. | 2023-06-10 |
| True or false 1 column | |||
reduction_strategy_applied | boolean | Indicates if an emission reduction strategy was applied during the reporting period.optional | true |
Use it for
A transportation dashboard
The reduction_
strategy_ applied rate, carbon_ emissions_ kg by vehicle_ type and a breakdown of vehicle_ make. Excel, Power BI or Tableau. Why do the 21 truck rows have a mean carbon_
emissions_ kg of 27,469? A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
- Fleets120FLEET-001186.5electricFLEET-00231594.5truckFLEET-00311300.7van
A software demo
Believable fleets with fleet_
name, vehicle_ id and vehicle_ type to fill a screen in front of a buyer.
blueprint · fleet-carbon-reduction-tracking
Behind this dataset
Same schema. As many rows as you need.
These 120 rows came out of a blueprint — 25 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 row represents one fleet vehicle per reporting month.
- Emissions are calculated based on distance traveled, fuel type, and efficiency rating.
- Include fields for emission reduction initiatives applied (e.g., eco-driving, route optimization, alternative fuels).
- Vehicles marked for replacement with low-emission models show projected reductions next period.
- Non-motorized fleet assets (e.g., bicycles) are excluded.
1 credit per row. New accounts start with 25 free credits.
- Exports
- CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
- Licence
- yours to use, including commercially
- API slug
- fleet-carbon-reduction-tracking