Green Fleet Emissions Analytics

This dataset provides detailed, trip-level emissions data for logistics fleets, capturing key operational, vehicle, and environmental metrics to support sustainability initiatives. It enables benchmarking, targeted emissions reduction strategies, and comprehensive ESG reporting for transportation and logistics companies seeking to optimize their carbon footprint.

  • last updated 16 Jan 2026
  • by GoMask
The brief that made it

Benchmarking fleet and vehicle emissions for sustainability reporting

Sample rows

preview · 8 of 120 rows · all 34 columns
emission_record_idstringvehicle_typestringcargo_weight_kgfloatesg_reportablebooleanorigin_countrystringcompany_idstringcompany_namestringfleet_idstringfleet_namestringvehicle_idstringvehicle_makestringvehicle_modelstringvehicle_yearintegerfuel_typestringroute_idstringroute_namestringorigin_citystringorigin_statestringdestination_citystringdestination_statestringdestination_countrystringdistance_kmfloattrip_start_datetimedatetimetrip_end_datetimedatetimecargo_typestringtotal_fuel_consumed_litersfloatenergy_consumed_kwhfloatco2_emissions_kgfloatch4_emissions_kgfloatn2o_emissions_kgfloatemissions_factor_sourcestringdata_capture_methodstringrecord_created_atdatetimerecord_updated_atdatetime
ER0001truck15500trueUSAC001TransExpressF101TX Western FreightV1001FreightlinerCascadia2018dieselR201SF to LA ExpressSan FranciscoCALos AngelesCAUSA617.52023-06-14T07:15:00Z2023-06-14T18:55:00Zelectronics415.2blank14025.20.7EPAtelematics2023-06-14T19:01:00Z2023-06-14T19:05:00Z
ER0002van320trueGermanyC002GreenLogixF201GL Berlin VansV2001MercedesSprinter EV2022electricR301Berlin Urban LoopBerlinBEBerlinBEGermany14.32024-04-03T10:30:00Z2024-04-03T11:00:00Zpharmaceuticalsblank5.40.0900DEFRAtelematics2024-04-03T11:03:00Z2024-04-03T11:05:00Z
ER0003truck13800trueFranceC003GlobalMoveF301GM Euro LonghaulV3001MANTGX2016dieselR401Paris to LyonParisIDFLyonARAFrance465.92022-11-18T06:45:00Z2022-11-18T17:10:00Zgeneral goods309.7blank9803.90.5EPAtelematics2022-11-18T17:15:00Z2022-11-18T17:23:00Z
ER0004bike5.2trueUKC004CycleFleetF401UK Urban CouriersV4001VanMoofS32021electricR501London Soho DeliveryLondonENGLondonENGUK6.22023-09-12T08:10:00Z2023-09-12T08:28:00Zdocumentsblank0.80.0100customtelematics2023-09-12T08:30:00Z2023-09-12T08:30:00Z
ER0005truck14500trueUSAC001TransExpressF102TX Northern LineV1002KenworthT6802014dieselR202Chicago to DetroitChicagoILDetroitMIUSA453.42024-02-08T04:50:00Z2024-02-08T13:42:00Zmachinery320.5blank10324.70.6EPAtelematics2024-02-08T13:50:00Z2024-02-08T13:58:00Z
ER0006car180trueJapanC005EcoShipF501Eco UrbanV5001ToyotaPrius Hybrid2020hybridR601Tokyo DowntownTokyoTokyoTokyoTokyoJapan22.82022-05-19T09:37:00Z2022-05-19T10:17:00Zperishable1.81.23.70.030.02EPAestimate2022-05-19T10:18:00Zblank
ER0007truck16200falseUSAC006FreightMastersF601FM MidwestV6001VolvoFH162012dieselR701St. Louis to OmahaSt. LouisMOOmahaNEUSA750.92023-03-25T06:25:00Z2023-03-25T18:43:00Zproduce480.6blank16807.11.2DEFRAmanual2023-03-25T18:51:00Zblank
ER0008car70.5trueUKC007QuickRunnerF701QR Urban CarsV7001NissanLeaf2023electricR801London to OxfordLondonENGOxfordENGUK93.22024-05-12T13:00:00Z2024-05-12T14:30:00Zdocumentsblank18.98.300DEFRAtelematics2024-05-12T14:32:00Z2024-05-12T14:39:00Z

What the 120 rows show

from the 120-row sample

Truck (vehicle type) stands out: mean cargo_weight_kg is 14,155, against 172.7 for the rest.

  • 78%esg_reportable = true
  • 212.4median cargo_weight_kg
  • 3emissions factor sources
  • 3data capture methods
  • 8fuel types
  • 12company names
Mean cargo_weight_kg by vehicle_type120 rows
010k20k14,155truck45 rows367.1van29 rows69.0car30 rows5.6bike12 rows41.4other4 rows
cargo_weight_kg120 rows, in bands of 2,000
040807600002211164010k20kcargo_weight_kg →

Median 212.4, from 3.9 to 19,280.

origin_country120 rows · top 10 of 23 values
  1. USA24
  2. Germany18
  3. Japan12
  4. France8
  5. UK8
  6. Belgium8
  7. Netherlands6
  8. Switzerland6
  9. Spain6
  10. Italy5
34 columns by typefrom the column list below
  • string 21
  • integer 1
  • float 7
  • datetime 4
  • boolean 1

Columns

34 columns in four groups
blueprint · 34 columns
columntypedescriptionexample
Text 21 columns
emission_record_idstringUnique identifier for each emission recorduniqueER0001
company_idstringUnique identifier for the logistics companyC001
company_namestringName of the logistics company12 namesTransExpress
fleet_idstringUnique identifier for the fleet within the companyF101
fleet_namestringDescriptive name of the fleetoptionalTX Western Freight
vehicle_idstringUnique identifier for the vehicleV1001
vehicle_typestringType of vehicle (e.g., truck, van, car, bike)truck · van · car · bike · othertruck
vehicle_makestringManufacturer of the vehicleoptionalFreightliner
vehicle_modelstringModel of the vehicleoptionalCascadia
fuel_typestringType of fuel used by the vehicle8 valuesdiesel
route_idstringUnique identifier for the route takenoptionalR201
route_namestringDescriptive name of the routeoptionalSF to LA Express
origin_citystringCity where the route startsoptionalSan Francisco
origin_statestringState where the route startsoptionalCA
origin_countrystringCountry where the route startsoptionalUSA
destination_citystringCity where the route endsoptionalLos Angeles
destination_statestringState where the route endsoptionalCA
destination_countrystringCountry where the route endsoptionalUSA
cargo_typestringType of cargo carried (e.g., perishable, electronics, general goods)optionalelectronics
emissions_factor_sourcestringSource or methodology used for emissions calculation (e.g., EPA, DEFRA, custom)3 sources · optionalEPA
data_capture_methodstringMethod by which the emissions data was captured (e.g., telematics, manual entry, estimate)telematics · manual · estimate · other · optionaltelematics
Numbers 8 columns
vehicle_yearintegerYear the vehicle was manufactured1,980 to 2,100 · optional2018
distance_kmfloatTotal distance traveled on the route in kilometers0 or more617.5
cargo_weight_kgfloatWeight of the cargo in kilograms0 or more · optional15500
total_fuel_consumed_litersfloatTotal fuel consumed during the trip in liters0 or more · optional415.2
energy_consumed_kwhfloatTotal energy consumed during the trip in kilowatt-hours (for electric vehicles)0 or more · optional5.4
co2_emissions_kgfloatTotal CO2 emissions in kilograms for the trip0 or more1402
ch4_emissions_kgfloatTotal CH4 (methane) emissions in kilograms for the trip0 or more · optional5.2
n2o_emissions_kgfloatTotal N2O (nitrous oxide) emissions in kilograms for the trip0 or more · optional0.7
Dates and times 4 columns
trip_start_datetimedatetimeDate and time when the trip started2023-06-14T07:15:00Z
trip_end_datetimedatetimeDate and time when the trip ended2023-06-14T18:55:00Z
record_created_atdatetimeTimestamp when the emission record was created2023-06-14T19:01:00Z
record_updated_atdatetimeTimestamp when the emission record was last updatedoptional2023-06-14T19:05:00Z
True or false 1 column
esg_reportablebooleanIndicates if this record is included in ESG reportingoptionaltrue

Use it for

  • esg reportable78%93 of 120 rowsmean cargo weight kg …14.2ktruck367.1van69.0car5.6bike

    A logistics dashboard

    The esg_reportable rate, cargo_weight_kg by vehicle_type and a breakdown of origin_country. Excel, Power BI or Tableau.

  • Why do the 45 truck rows have a mean cargo_weight_kg of 14,155?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable emission records with company_id, company_name and fleet_id to fill a screen in front of a buyer.

Not quite right?

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This dataset120 rows34 columns
Yours1,000 rows34 columnsorigin_city: UK only

blueprint · green-fleet-emissions-analytics

Behind this dataset

Same schema. As many rows as you need.

These 120 rows came out of a blueprint — 34 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.

Rules it was built with
  • Each row records an individual trip with vehicle type, route category, and emissions in CO2e.
  • Only trips longer than 5 miles are included.
  • Vehicle maintenance status affects emissions calculations.
  • Weather conditions impact fuel efficiency and emissions.
  • Fleet upgrades reflect improved emissions post-implementation.
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
green-fleet-emissions-analytics

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