Government Digital Energy Usage Logs

This dataset provides granular logs of energy consumption by government digital operations, including department, facility, service type, energy source, and carbon emissions. It enables benchmarking, sustainability analysis, and progress tracking toward ESG goals, supporting data-driven digital transformation and resource optimization across public sector IT infrastructure.

  • last updated 8 Jan 2026
  • by GoMask
The brief that made it

Benchmarking energy consumption and carbon emissions across government departments and facilities

Sample rows

preview · 8 of 75 rows · all 23 columns
log_idstringfacility_typestringenergy_usage_kwhfloatesg_goal_referencestringdepartment_idstringdepartment_namestringdivision_namestringfacility_idstringfacility_namestringcountrystringstate_provincestringcitystringenergy_sourcestringrenewable_percentagefloatcarbon_emissions_kgco2efloatreporting_period_startdatereporting_period_enddatedigital_service_typestringservice_descriptionstringdata_collected_bystringdata_collection_methodstringcreated_atdatetimeupdated_atdatetime
A1B2C3D4-01data center15340.55Net Zero 2030DPT-001Ministry of EnergyRenewables DivisionFAC-DC-01Data Center AlphaUnited StatesCaliforniaSan Franciscorenewable10002023-01-012023-01-31cloud computeCompute workloads for energy analyticssys_meter_01automated meter2023-02-01T08:32:15Z2023-02-02T09:11:12Z
B2C3D4E5-02cloud7320.8Green IT InitiativeDPT-002Department of Public WorksInfrastructure ITFAC-CL-02Cloud Region EastCanadaOntarioTorontomixed42.52902.012023-02-012023-02-28storageCloud storage for project documentationapi_collectorAPI2023-03-01T10:12:23Z2023-03-01T10:32:45Z
C3D4E5F6-03office1240.25Net Zero 2035DPT-003Ministry of HealthDigital Health RecordsFAC-OF-03Government Office CentralUnited KingdomGreater LondonLondongridblank560.112023-03-012023-03-31applicationElectronic medical records systemhealth_teammanual entry2023-04-01T11:24:31Z2023-04-01T12:02:17Z
D4E5F6G7-04server room2300.89Low Carbon TransportDPT-004Department of TransportationITS OperationsFAC-SR-04Server Room DeltaAustraliaVictoriaMelbournegridblank1058.412023-04-012023-04-30networkNetwork infrastructure for traffic systemssys_meter_02automated meter2023-05-01T13:45:08Z2023-05-01T13:49:25Z
E5F6G7H8-05cloud5800.2EduGreen2025DPT-005Ministry of EducationEdTech ServicesFAC-CL-05Cloud Region WestGermanyBavariaMunichrenewable10002023-05-012023-05-31web hostingOnline learning portal hostingedtech_autoAPI2023-06-01T07:00:00Z2023-06-01T07:12:14Z
F6G7H8I9-06data center14600.13Net Zero 2030DPT-001Ministry of EnergyEfficiency ProjectsFAC-DC-01Data Center AlphaUnited StatesCaliforniaSan Franciscosolar10002023-06-012023-06-30storageArchival storage for efficiency reportssys_meter_01automated meter2023-07-01T08:14:10Z2023-07-01T08:47:12Z
G7H8I9J0-07cloud6800.7Green IT InitiativeDPT-002Department of Public WorksblankFAC-CL-02Cloud Region EastCanadaOntarioTorontowind10002023-07-012023-07-31applicationInfrastructure management platformapi_collectorAPI2023-08-01T09:22:11Z2023-08-01T10:01:00Z
H8I9J0K1-08office1320.2Net Zero 2035DPT-003Ministry of HealthPublic Health ServicesFAC-OF-03Government Office CentralUnited KingdomGreater LondonLondonmixed33.1700.452023-08-012023-08-31storagePublic health data archiveshealth_teammanual entry2023-09-01T11:18:44Z2023-09-01T11:41:09Z

What the 75 rows show

from the 75-row sample

Data center (facility type) stands out: mean energy_usage_kwh is 13,680, against 4,085 for the rest.

  • 5,100median energy_usage_kwh
  • 3data collection methods
  • 5digital service types
  • 6energy sources
  • 8countries
  • 100.0median renewable_percentage
Mean energy_usage_kwh by facility_type75 rows
010k20k13,680data cen…16 rows2,750office23 rows6,305cloud24 rows2,205server r…12 rows
energy_usage_kwh75 rows, in bands of 2,000
09181317161124552010k18kenergy_usage_kwh →

Median 5,100, from 1,240 to 17,206.

esg_goal_reference74 rows with a value · 1 left blank
  1. Net Zero 203018
  2. Green IT Initiative13
  3. Solar First Policy5
  4. Net Zero 20352
  5. Low Carbon Transport2
  6. EduGreen20252
  7. Net Zero 20402
  8. FinGreen20252
  9. AgriESG20252
  10. JusticeESG20272
23 columns by typefrom the column list below
  • string 16
  • float 3
  • date 2
  • datetime 2

Columns

23 columns in three groups
blueprint · 23 columns
columntypedescriptionexample
Text 16 columns
log_idstringUnique identifier for each energy usage log entryuniqueA1B2C3D4-01
department_idstringUnique identifier for the government departmentDPT-001
department_namestringFull name of the government departmentMinistry of Energy
division_namestringName of the division or sub-unit within the department (if applicable)optionalRenewables Division
facility_idstringUnique identifier for the physical or virtual facility where digital operations occurFAC-DC-01
facility_namestringName or description of the facility (e.g., 'Data Center A', 'Cloud Region 1')Data Center Alpha
facility_typestringType of facility (e.g., 'data center', 'office', 'cloud', 'server room')data center · office · cloud · server room · otherdata center
countrystringCountry where the facility is located8 countriesUnited States
state_provincestringState or province where the facility is locatedoptionalCalifornia
citystringCity where the facility is locatedoptionalSan Francisco
energy_sourcestringPrimary energy source used (e.g., 'grid', 'renewable', 'solar', 'wind', 'hydro', 'mixed')7 valuesrenewable
digital_service_typestringType of digital service or operation (e.g., 'web hosting', 'cloud compute', 'storage', 'network', 'application')6 valuescloud compute
service_descriptionstringBrief description of the digital service or operation being measuredoptionalITS network operations
esg_goal_referencestringReference to relevant ESG (Environmental, Social, Governance) goal or policy (e.g., 'Net Zero 2030', 'Green IT Initiative')optionalNet Zero 2030
data_collected_bystringName or identifier of the person, team, or system that collected the dataoptionalsys_meter_01
data_collection_methodstringMethod or tool used for collecting energy usage data (e.g., 'automated meter', 'manual entry', 'API')automated meter · manual entry · API · other · optionalautomated meter
Numbers 3 columns
energy_usage_kwhfloatTotal energy consumed by digital operations in kilowatt-hours (kWh) during the reporting period0 or more15340.55
renewable_percentagefloatPercentage of energy from renewable sources (0-100)0 to 100 · optional100
carbon_emissions_kgco2efloatEstimated carbon emissions in kilograms of CO2 equivalent (kgCO2e) for the reporting period0 or more · optional0
Dates and times 4 columns
reporting_period_startdateStart date of the reporting period for this log entry2023-01-01
reporting_period_enddateEnd date of the reporting period for this log entry2023-01-31
created_atdatetimeTimestamp when this log entry was created2023-02-01T08:32:15Z
updated_atdatetimeTimestamp when this log entry was last updatedoptional2023-02-02T09:11:12Z

Use it for

  • median energy …5,10075 rowsmean energy usage kwh…13.7kdata…2.8koffi…6.3kcloud2.2kserv…

    A government dashboard

    Energy_usage_kwh by facility_type and a breakdown of esg_goal_reference. Excel, Power BI or Tableau.

  • Why do the 16 data center rows have a mean energy_usage_kwh of 13,680?

    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 logs with department_id, department_name and division_name to fill a screen in front of a buyer.

Not quite right?

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This dataset75 rows23 columns
Yours1,000 rows23 columnscountry: UK only

blueprint · government-digital-energy-usage-logs

Behind this dataset

Same schema. As many rows as you need.

These 75 rows came out of a blueprint — 23 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 daily energy usage by a government department's digital operations.
  • Include department, type of digital service, device count, and total kWh consumed.
  • Flag any usage above department-specific sustainability threshold.
  • Log renewable vs. non-renewable energy source percentages per operation.
  • Include a calculated energy efficiency rating per department.
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
government-digital-energy-usage-logs

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