Rural Fleet Energy Benchmarking

This dataset provides granular energy consumption and carbon emission data for rural logistics fleets, including vehicle, route, and improvement action details. It enables transportation and sustainability professionals to benchmark fleet performance, identify opportunities for energy and carbon savings, and track the impact of efficiency initiatives across vehicles and routes.

  • last updated 10 Dec 2025
  • by GoMask
The brief that made it

Benchmarking fleet energy and carbon performance

Sample rows

preview · 8 of 120 rows · all 26 columns
fleet_idstringvehicle_typestringenergy_consumed_kwhfloatvehicle_makestringfleet_namestringoperator_namestringvehicle_idstringvehicle_modelstringyear_of_manufactureintegerfuel_typestringroute_idstringroute_namestringroute_distance_kmfloatroute_frequency_per_weekintegerfuel_consumed_litersfloatcarbon_emissions_kgfloatdate_of_measurementdateimprovement_action_takenstringimprovement_action_datedateenergy_savings_kwhfloatcarbon_savings_kgfloatlocation_street_addressstringlocation_citystringlocation_statestringlocation_postal_codestringlocation_countrystring
FLT-001truck0MANNorthmoor LogisticsRural Transport LtdVEH-001TGX2008dieselRTE-001Moorview to Brambleton245.6281.2176.42024-04-16blankblankblankblankblankNorthmoorDevonEX19 7JLUK
FLT-002van0FordFenland CouriersEast Rural ExpressVEH-002Transit2016dieselRTE-002Fenland Circular24.178.921.22024-03-29blankblankblankblank12 Willow LaneMarchCambridgeshirePE15 8QPUK
FLT-003truck0DAFBorderland FreightBorderland LogisticsVEH-003CF2012dieselRTE-003Berwick to Tweed Route188.7274.3151.82024-02-25Switched to biodiesel blend2024-02-1007.7blankBerwick-upon-TweedNorthumberlandTD15 1UBUK
FLT-004van0VauxhallCotswold FleetCotswold DistributionVEH-004Vivaro2019dieselRTE-004Stow to Moreton18.487.316.22024-03-20blankblankblankblank7 Sheep StreetStow-on-the-WoldGloucestershireGL54 1ABUK
FLT-005truck0ScaniaPeak Valley HaulagePeak Valley ServicesVEH-005R4402002dieselRTE-005Bakewell to Buxton115.3363.5128.72024-04-03blankblankblankblankblankBakewellDerbyshireDE45 1AWUK
FLT-006van0RenaultVale ExpressVale Transport LtdVEH-006Trafic2015dieselRTE-006Vale Circuit12.9106.313.82024-05-02blankblankblankblank2 Ash CloseEveshamWorcestershireWR11 3BQUK
FLT-007van0PeugeotWelsh BorderlineBorderline LogisticsVEH-007Expert2023petrolRTE-007Wrexham Local21.769.617.32024-04-12blankblankblankblank9 High StreetWrexhamClwydLL11 1APUK
FLT-008truck0MercedesSouth Downs FleetDowns LogisticsVEH-008Actros2011dieselRTE-008Lewes to Midhurst160.3161.4127.62024-05-07blankblankblankblankblankLewesEast SussexBN7 2FBUK

What the 120 rows show

from the 120-row sample

Electric van (vehicle type) stands out: mean energy_consumed_kwh is 28.8, against 2.2 for the rest.

  • 0.0median energy_consumed_kwh
  • 5fuel types
  • 32.6median route_distance_km
  • 3median route_frequency_per_week
  • 8.8median fuel_consumed_liters
  • 17.6median carbon_emissions_kg
Mean energy_consumed_kwh by vehicle_type120 rows
020400.0van37 rows0.0truck36 rows28.8electr…13 rows17.8hybrid…13 rows0.38other21 rows
energy_consumed_kwh120 rows, in bands of 5
05010094056542402040energy_consumed_kwh →

Median 0.0, from 0.0 to 39.1.

vehicle_make111 rows with a value · 9 left blank
  1. DAF10
  2. Scania10
  3. Renault10
  4. Volvo8
  5. MAN7
  6. Mercedes7
  7. Ford6
  8. Peugeot6
  9. Fiat6
  10. Volkswagen5
26 columns by typefrom the column list below
  • string 16
  • integer 2
  • float 6
  • date 2

Columns

26 columns in three groups
blueprint · 26 columns
columntypedescriptionexample
Text 16 columns
fleet_idstringUnique identifier for each rural logistics fleet.uniqueFLT-001
fleet_namestringName of the rural logistics fleet.Northmoor Logistics
operator_namestringName of the company or organization operating the fleet.Rural Transport Ltd
vehicle_idstringUnique identifier for each vehicle in the fleet.uniqueVEH-001
vehicle_typestringType of vehicle (e.g., van, truck, electric van, hybrid truck).van · truck · electric van · hybrid truck · othertruck
vehicle_makestringManufacturer of the vehicle.optionalMAN
vehicle_modelstringModel of the vehicle.optionalTGX
fuel_typestringType of fuel used by the vehicle (e.g., diesel, petrol, electric, hybrid).diesel · petrol · electric · hybrid · otherdiesel
route_idstringUnique identifier for each route serviced by the fleet.uniqueRTE-001
route_namestringName or description of the route.Moorview to Brambleton
improvement_action_takenstringDescription of any energy efficiency or carbon reduction action taken for the vehicle or route.optionalBattery optimization
location_street_addressstringStreet address of the fleet's base or depot.optional12 Willow Lane
location_citystringCity where the fleet's base or depot is located.optionalNorthmoor
location_statestringState or region of the fleet's base or depot.optionalDevon
location_postal_codestringPostal code of the fleet's base or depot.optionalEX19 7JL
location_countrystringCountry where the fleet's base or depot is located.optionalUK
Numbers 8 columns
year_of_manufactureintegerYear the vehicle was manufactured.1,980 to 2,024 · optional2008
route_distance_kmfloatTotal distance of the route in kilometers.0 or more245.6
route_frequency_per_weekintegerNumber of times the route is serviced per week.0 or more2
energy_consumed_kwhfloatTotal energy consumed by the vehicle on the route, measured in kilowatt-hours (kWh).0 or more0
fuel_consumed_litersfloatTotal fuel consumed by the vehicle on the route, measured in liters.0 or more · optional81.2
carbon_emissions_kgfloatTotal carbon emissions produced by the vehicle on the route, measured in kilograms.0 or more176.4
energy_savings_kwhfloatAmount of energy saved due to improvement actions, measured in kilowatt-hours.0 or more · optional0
carbon_savings_kgfloatAmount of carbon emissions reduced due to improvement actions, measured in kilograms.0 or more · optional7.7
Dates and times 2 columns
date_of_measurementdateDate when the energy and emissions data were recorded.2024-04-16
improvement_action_datedateDate when the improvement action was implemented.optional2024-02-10

Use it for

  • median energy …0.0120 rowsmean energy consumed …0.0van0.0truck28.8elec…17.8hybr…

    A transportation dashboard

    Energy_consumed_kwh by vehicle_type and a breakdown of vehicle_make. Excel, Power BI or Tableau.

  • Why do the 13 electric van rows have a mean energy_consumed_kwh of 28.8?

    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 fleets with fleet_name, operator_name and vehicle_id to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 26 columns, your size and your rules. See 20 rows before you pay.

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This dataset120 rows26 columns
Yours1,000 rows26 columnslocation_street_address: UK only

blueprint · rural-fleet-energy-benchmarking

Behind this dataset

Same schema. As many rows as you need.

These 120 rows came out of a blueprint — 26 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 represents a unique fleet vehicle and daily route.
  • Energy consumption measured in kWh or liters per route.
  • Carbon emissions calculations follow GHG protocol standards.
  • Fleet type (EV, hybrid, diesel) is coded and validated.
  • Seasonal and weather impact factors included per route.
Rows
Open the blueprint in Data Factory

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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
rural-fleet-energy-benchmarking

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