Government Agency Carbon Reduction Tracking

This dataset provides a detailed monthly record of government agencies' carbon emissions, reduction initiatives, and progress toward sustainability goals. It enables digital transformation teams to monitor ESG compliance, evaluate high-impact projects, and benchmark performance across departments, supporting data-driven decision-making for public sector sustainability efforts.

  • last updated 7 Jan 2026
  • by GoMask
The brief that made it

Tracking and reporting government agency carbon emissions for ESG compliance

Sample rows

preview · 8 of 49 rows · all 22 columns
agency_idstringbenchmark_groupstringemissions_scope3_tco2efloatis_high_impactbooleanagency_namestringreporting_monthdatetotal_emissions_tco2efloatemissions_scope1_tco2efloatemissions_scope2_tco2efloatreduction_initiative_idstringreduction_initiative_namestringinitiative_statusstringinitiative_start_datedateinitiative_end_datedateemissions_reduced_tco2efloatgoal_idstringgoal_target_tco2efloatgoal_target_datedateprogress_percentfloatlast_updateddatetimeinitiative_descriptionstringgoal_descriptionstring
FED-001federal2759.77trueFederal Environmental Protection Agency2024-02-0112840.234180.125900.34INIT-001-ASolar Panel Expansionin_progress2023-06-152024-09-30390.25GOAL-FEPA-2025100002025-12-3162.52024-02-05T14:09:21Installation of rooftop solar panels on federal buildings.Reduce total emissions by 20% by 2025.
FED-001federal2639.36trueFederal Environmental Protection Agency2024-03-0112560.184100.295820.53INIT-001-BFleet Electrification Phase IIplanned2024-05-012025-10-150GOAL-FEPA-2025100002025-12-3165.72024-03-03T10:18:34Transitioning agency vehicles to electric.Reduce total emissions by 20% by 2025.
FED-001federal2510falseFederal Environmental Protection Agency2024-04-011232040405770INIT-001-CLED Lighting Upgradecompleted2023-01-102024-03-25210.5GOAL-FEPA-2025100002025-12-3167.12024-04-02T17:55:00Replacing all lighting with high-efficiency LEDs.Reduce total emissions by 20% by 2025.
STAT-002transportation1439.7trueState Department of Transportation2024-03-0115670.45100804150.75INIT-002-APublic Transit Expansionin_progress2023-11-012025-05-30570.75GOAL-SDOT-2030120002030-12-3131.32024-03-04T08:43:39Increasing bus rapid transit lines.Cut transportation emissions by 25% by 2030.
STAT-002transportation1410.3falseState Department of Transportation2024-04-0115480.399804090INIT-002-BTelecommute Incentiveplanned2024-09-012026-01-150GOAL-SDOT-2030120002030-12-3133.12024-04-04T11:12:10Subsidizing remote work for state employees.Cut transportation emissions by 25% by 2030.
STAT-002transportation1391.9trueState Department of Transportation2024-05-011519498024000.1INIT-002-CEV Charging Stationsin_progress2024-02-122024-12-3181.5GOAL-SDOT-2030120002030-12-3134.72024-05-02T16:07:28Deploying fast charging stations statewide.Cut transportation emissions by 25% by 2030.
MUNI-003health700trueCity Health and Human Services2024-02-014300.121100.12500.02INIT-003-ABuilding Energy Retrofitcompleted2022-08-012024-01-15340.67GOAL-CHHS-202738002027-06-3071.52024-02-03T09:22:10Upgraded insulation and HVAC systems.Improve energy efficiency in city facilities.
MUNI-003health730.1falseCity Health and Human Services2024-03-014230.110502450INIT-003-BGreen Procurement Policyplanned2024-07-012025-12-150GOAL-CHHS-202738002027-06-3073.12024-03-06T19:51:33Mandate for eco-friendly purchasing.Improve energy efficiency in city facilities.

What the 49 rows show

from the 49-row sample

Federal (benchmark group) stands out: mean emissions_scope3_tco2e is 1,541, against 645.8 for the rest.

  • 59%is_high_impact = true
  • 690.0median emissions_scope3_tco2e
  • 4initiative statuses
  • 4,300median total_emissions_tco2e
  • 1,500median emissions_scope1_tco2e
  • 2,200median emissions_scope2_tco2e
Mean emissions_scope3_tco2e by benchmark_group49 rows
01,0002,000456.8munici…13 rows1,541federal11 rows590.1state10 rows561.0health8 rows1,173transp…7 rows
emissions_scope3_tco2e49 rows, in bands of 500
0153012221200301,5003,000emissions_scope3_tco2e →

Median 690.0, from 87.1 to 2,760.

agency_name49 rows · top 10 of 23 values
  1. Federal Transportation Bureau4
  2. State Parks and Recreation4
  3. Federal Environmental Protection Agency3
  4. State Department of Transportation3
  5. City Health and Human Services3
  6. Federal Department of Agriculture3
  7. State Department of Health3
  8. City Municipal Services3
  9. Metropolitan Waste Management3
  10. Federal Health Administration3
22 columns by typefrom the column list below
  • string 9
  • float 7
  • date 4
  • datetime 1
  • boolean 1

Columns

22 columns in four groups
blueprint · 22 columns
columntypedescriptionexample
Text 9 columns
agency_idstringUnique identifier for the government agency or department.FED-001
agency_namestringFull official name of the government agency or department.City Municipal Services
reduction_initiative_idstringUnique identifier for the carbon reduction initiative or project.optionalINIT-001-A
reduction_initiative_namestringName of the carbon reduction initiative or project.optionalSolar Panel Expansion
initiative_statusstringCurrent status of the reduction initiative.planned · in_progress · completed · on_hold · cancelled · optionalin_progress
initiative_descriptionstringBrief description of the reduction initiative.optionalInstallation of rooftop s…
goal_idstringUnique identifier for the agency's carbon reduction goal.optionalGOAL-FEPA-2025
goal_descriptionstringDescription of the agency's carbon reduction goal.optionalAchieve net zero by 2035
benchmark_groupstringGroup or category for benchmarking (e.g., 'federal', 'state', 'municipal', 'transportation', 'health').5 groups · optionalfederal
Numbers 7 columns
total_emissions_tco2efloatTotal carbon emissions for the agency in metric tons of CO2 equivalent for the reporting month.0 or more12840.23
emissions_scope1_tco2efloatScope 1 emissions (direct emissions) in metric tons of CO2 equivalent for the reporting month.0 or more · optional4180.12
emissions_scope2_tco2efloatScope 2 emissions (indirect emissions from purchased energy) in metric tons of CO2 equivalent for the reporting month.0 or more · optional5900.34
emissions_scope3_tco2efloatScope 3 emissions (other indirect emissions) in metric tons of CO2 equivalent for the reporting month.0 or more · optional2759.77
emissions_reduced_tco2efloatAmount of emissions reduced by this initiative in the reporting month (metric tons CO2e).0 or more · optional390.25
goal_target_tco2efloatTarget emissions level (metric tons CO2e) for the agency's goal.0 or more · optional10000
progress_percentfloatCurrent progress toward the goal, as a percentage (0-100).0 to 100 · optional62.5
Dates and times 5 columns
reporting_monthdateThe first day of the month for which data is reported (YYYY-MM-01).2024-02-01
initiative_start_datedateStart date of the reduction initiative.optional2023-06-15
initiative_end_datedateEnd or expected completion date of the reduction initiative.optional2024-09-30
goal_target_datedateTarget date for achieving the carbon reduction goal.optional2025-12-31
last_updateddatetimeTimestamp when this record was last updated.2024-02-05T14:09:21
True or false 1 column
is_high_impactbooleanIndicates if the initiative is classified as high-impact for agency goals.optionaltrue

Use it for

  • is high impact59%29 of 49 rowsmean emissions scope3…456.8muni…1.5kfede…590.1state561.0heal…

    A government dashboard

    The is_high_impact rate, emissions_scope3_tco2e by benchmark_group and a breakdown of agency_name. Excel, Power BI or Tableau.

  • Why do the 11 federal rows have a mean emissions_scope3_tco2e of 1,541?

    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 agencies with agency_name, reporting_month and total_emissions_tco2e to fill a screen in front of a buyer.

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This dataset49 rows22 columns
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blueprint · government-agency-carbon-reduction-tracking

Behind this dataset

Same schema. As many rows as you need.

These 49 rows came out of a blueprint — 22 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 one agency’s monthly data.
  • Report includes emission baseline, reduction achieved, initiative type, and estimated impact.
  • Initiative types include energy efficiency, fleet electrification, green procurement, and digitalization.
  • Flag rows where progress is below annual reduction targets.
  • Capture both direct (scope 1) and indirect (scope 2/3) emissions.
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
government-agency-carbon-reduction-tracking

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