Telecom Infrastructure Carbon Footprint

This dataset provides detailed, asset-level tracking of energy consumption and carbon emissions for telecom infrastructure, including towers, data centers, and edge devices. It supports sustainability initiatives and ESG reporting by capturing emission sources, reduction activities, and operational details, enabling telecom operators to optimize their carbon footprint and demonstrate progress toward environmental goals.

  • last updated 8 Dec 2025
  • by GoMask
The brief that made it

ESG and sustainability reporting for telecom operators

Sample rows

preview · 8 of 87 rows · all 19 columns
asset_idstringasset_typestringenergy_consumption_kwhfloatlocation_statestringasset_namestringlocation_street_addressstringlocation_citystringlocation_postal_codestringlocation_countrystringinstallation_datedateenergy_sourcestringcarbon_emissions_kgco2efloatemission_scopestringreporting_period_startdatereporting_period_enddatereduction_activitystringreduction_amount_kgco2efloatasset_statusstringnotesstring
TWR-0001tower14650.3COSummit Tower North1200 Mountain RdDenver80202USA2018-04-15grid8800.7Scope 22023-06-012023-06-30efficiency_improvement430.5activeUpgraded cooling system in June 2023.
DC-0001data_center101230.1COAurora Data Hub4511 E Colfax AveAurora80010USA2015-09-07grid61000.6Scope 22023-06-012023-06-30renewable_upgrade2200activeSolar panels installed Q2 2023.
EDG-0001edge_device1550.2CAEdge Node - Midtown503 19th StSan Francisco94107USA2021-02-10grid980Scope 22023-06-012023-06-30none0activeblank
TWR-0002tower12120CARedwood Tower2117 Sequoia BlvdSan Jose95129USA2019-07-23solar3200.2Scope 22023-07-012023-07-31renewable_upgrade620activeSolar upgrade in May 2023.
DC-0002data_center95000.5CABay Area DC989 Market StSan Francisco94103USA2017-12-05grid57200.1Scope 22023-07-012023-07-31offset_purchase4500activeOffset credits purchased July 2023.
EDG-0002edge_device1350.7CAEdge Node - Silicon Valley4120 El Camino RealPalo Alto94306USA2022-03-18solar320Scope 22023-07-012023-07-31none0activeblank
TWR-0003tower10890.4ORCascade Tower418 Pine StPortland97205USA2020-05-09wind1290.1Scope 22023-05-012023-05-31renewable_upgrade300activeWind transition in Q2 2023.
DC-0003data_center110200.3WASeattle Core DC601 Union StSeattle98101USA2016-11-15grid67200.5Scope 22023-05-012023-05-31none0activeblank

What the 87 rows show

from the 87-row sample

Data_center (asset type) stands out: mean energy_consumption_kwh is 87,819, against 7,567 for the rest.

  • 12,900median energy_consumption_kwh
  • 2location countries
  • 2emission scopes
  • 4energy sources
  • 4reduction activities
  • 3,800median carbon_emissions_kgco2e
Mean energy_consumption_kwh by asset_type87 rows
050k100k13,276tower29 rows87,819data_center28 rows2,048edge_device30 rows
energy_consumption_kwh87 rows, in bands of 20k
03060590341461080k140kenergy_consumption_kwh →

Median 12,900, from 362.4 to 120,831.

location_state87 rows · top 10 of 28 values
  1. CA10
  2. TX8
  3. WA7
  4. IL7
  5. FL5
  6. PA5
  7. AZ5
  8. CO4
  9. MO4
  10. ON4
19 columns by typefrom the column list below
  • string 13
  • float 3
  • date 3

Columns

19 columns in three groups
blueprint · 19 columns
columntypedescriptionexample
Text 13 columns
asset_idstringUnique identifier for each network infrastructure asset (tower, data center, edge device)uniqueTWR-0001
asset_typestringType of infrastructure asset (e.g., tower, data_center, edge_device)tower · data_center · edge_devicetower
asset_namestringHuman-readable name or label for the assetSummit Tower North
location_street_addressstringStreet address of the asset's physical location1200 Mountain Rd
location_citystringCity where the asset is locatedDenver
location_statestringState or province where the asset is locatedCO
location_postal_codestringPostal or ZIP code for the asset location80202
location_countrystringCountry where the asset is located2 countriesUSA
energy_sourcestringPrimary energy source used (e.g., grid, solar, wind, diesel)grid · solar · wind · diesel · othergrid
emission_scopestringGHG emission scope classification (Scope 1, Scope 2, Scope 3)Scope 1 · Scope 2 · Scope 3Scope 2
reduction_activitystringType of carbon reduction activity implemented (e.g., renewable upgrade, efficiency improvement, offset purchase)5 values · optionalefficiency_improvement
asset_statusstringOperational status of the asset (active, inactive, decommissioned)active · inactive · decommissionedactive
notesstringAdditional comments or notes about the asset or emission dataoptionalHVAC upgraded Q4.
Numbers 3 columns
energy_consumption_kwhfloatTotal energy consumed by the asset in kilowatt-hours over the reporting period0 or more14650.3
carbon_emissions_kgco2efloatTotal carbon emissions in kilograms of CO2 equivalent for the asset over the reporting period0 or more8800.7
reduction_amount_kgco2efloatAmount of carbon emissions reduced due to activity, in kilograms of CO2 equivalent0 or more · optional430.5
Dates and times 3 columns
installation_datedateDate the asset was installed or commissionedoptional2018-04-15
reporting_period_startdateStart date of the reporting period for energy and emissions data2023-06-01
reporting_period_enddateEnd date of the reporting period for energy and emissions data2023-06-30

Use it for

  • median energy …12,90087 rowsmean energy consumpti…13.3ktower87.8kdata_c…2kedge_d…

    A telecommunications dashboard

    Energy_consumption_kwh by asset_type and a breakdown of location_state. Excel, Power BI or Tableau.

  • Why do the 28 data_center rows have a mean energy_consumption_kwh of 87,819?

    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 assets with asset_type, asset_name and location_street_address to fill a screen in front of a buyer.

Not quite right?

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This dataset87 rows19 columns
Yours1,000 rows19 columnslocation_street_address: UK only

blueprint · telecom-infrastructure-carbon-footprint

Behind this dataset

Same schema. As many rows as you need.

These 87 rows came out of a blueprint — 19 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 infrastructure asset must have a unique identifier.
  • Monthly energy consumption is recorded in kWh per asset.
  • Emission calculations are based on region-specific conversion factors.
  • Maintenance or upgrade activities impacting carbon output are logged.
  • Carbon offset actions (e.g., renewable integration) must be captured.
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
telecom-infrastructure-carbon-footprint

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