Energy
24 columns
120 rows
8 formats

Remote Office Carbon Footprint Tracker

This dataset provides granular, employee-level tracking of carbon emissions from remote work, including home office equipment usage, energy consumption, commuting patterns, and virtual collaboration activities. Designed for small organizations and nonprofits, it enables sustainability analysis, ESG reporting, and targeted carbon reduction initiatives.

last updated 6 Dec 2025
by GoMask

The brief that made it

Sustainability and ESG reporting for distributed organizations

Sample rows

preview · 8 of 120 rows · all 24 columns

organization_idstring	commuting_modestring	commuting_emissions_kgco2efloat	countrystring	employee_idstring	employee_namestring	emailstring	statestring	citystring	reporting_period_startdate	reporting_period_enddate	home_office_equipment_typestring	home_office_equipment_quantityinteger	home_office_equipment_power_rating_wattsfloat	home_office_equipment_usage_hoursfloat	home_energy_sourcestring	home_energy_consumption_kwhfloat	commuting_daysinteger	commuting_distance_kmfloat	virtual_meetings_countinteger	virtual_meetings_total_duration_hoursfloat	virtual_collaboration_platformstring	virtual_collaboration_emissions_kgco2efloat	total_carbon_footprint_kgco2efloat
ORG001	none	0	United States	E1001	Amanda Wilcox	amanda.wilcox@org001.org	California	San Francisco	2024-01-01	2024-03-31	laptop	1	52.4	610	grid	310.2	0	0	56	88.7	Zoom	6.1	216.3
ORG002	car	42.3	Ghana	E2001	Samuel Mensah	samuel.mensah@org002.org	Greater Accra	Accra	2024-02-01	2024-04-30	monitor	2	41.5	630	grid	412.8	15	13.7	73	109.4	Zoom	9.2	464.3
ORG003	bike	11.5	Vietnam	E3001	Linh Tran	linh.tran@org003.org	Ho Chi Minh	Ho Chi Minh City	2024-03-01	2024-05-31	desktop	1	123.6	670	grid	322.9	48	7.2	92	127.8	Teams	8.3	342.7
ORG004	none	0	Bulgaria	E4001	Julia Petrov	julia.petrov@org004.org	blank	Sofia	2024-03-01	2024-03-31	printer	1	62.3	7.3	wind	5.2	0	0	1	1.1	Google Meet	0.1	5.3
ORG005	car	67.1	Nigeria	E5001	Moses Oke	moses.oke@org005.org	Lagos	Lagos	2024-01-01	2024-03-31	desktop	2	146.2	640	grid	512.3	22	17.5	87	120.6	Zoom	8.6	588
ORG006	public_transit	21.3	France	E6001	Chloe Martin	chloe.martin@org006.org	Île-de-France	Paris	2024-02-01	2024-04-30	laptop	1	61.7	705	grid	398.2	32	6.8	77	120.2	Teams	7.6	427.1
ORG007	none	0	Singapore	E7001	Wei Chen	wei.chen@org007.org	blank	Singapore	2024-02-16	2024-03-15	router	1	12.2	18	solar	7.1	0	0	2	1.2	Teams	0.2	7.3
ORG008	public_transit	7.2	Brazil	E8001	Felipe Rocha	felipe.rocha@org008.org	São Paulo	São Paulo	2024-01-01	2024-01-31	monitor	1	29.7	115	hydro	39.1	17	8.2	23	21.8	Google Meet	1.1	47.4
ORG009	none	0	United Kingdom	E9001	Sarah O'Neill	sarah.oneill@org009.org	England	London	2024-01-01	2024-03-31	laptop	1	58.2	585	grid	298.9	0	0	63	94.7	Teams	6.8	305.7
ORG010	none	0	India	E10001	Rajiv Kumar	rajiv.kumar@org010.org	Karnataka	Bangalore	2024-04-01	2024-06-30	laptop	1	59.4	630	grid	322.2	0	0	76	97.4	Zoom	7.2	329.4
ORG011	walk	0.9	United States	E11001	Emily Rivera	emily.rivera@org011.org	Texas	Austin	2024-02-01	2024-02-28	monitor	2	61.9	153	solar	44.8	10	2.1	17	15.3	Teams	0.9	46.6
ORG012	car	51	Ghana	E12001	Kofi Abena	kofi.abena@org012.org	Ashanti	Kumasi	2024-03-01	2024-05-31	desktop	2	143.2	660	grid	498.7	18	11.9	74	112.8	Zoom	8.7	558.4
ORG013	public_transit	6.3	India	E13001	Zara Singh	zara.singh@org013.org	Maharashtra	Mumbai	2024-01-01	2024-01-31	monitor	1	34.5	125	grid	38.6	12	7.3	21	18.6	Teams	1	45.9
ORG014	none	0	South Korea	E14001	Michael Kim	michael.kim@org014.org	Seoul	Seoul	2024-03-01	2024-05-31	laptop	1	62.9	625	grid	356.1	0	0	81	98.5	Teams	7.3	363.4
ORG015	walk	0.1	Germany	E15001	Anna Müller	anna.muller@org015.org	Bavaria	Munich	2024-02-01	2024-02-28	router	2	14.1	23	wind	8.3	1	1.4	3	2	Teams	0.3	8.7
ORG016	public_transit	23.7	Italy	E16001	Lucia Rossi	lucia.rossi@org016.org	Lombardy	Milan	2024-04-01	2024-06-30	laptop	1	60.5	710	grid	389.6	40	8.6	95	128.3	Zoom	9.1	422.4
ORG017	none	0	United States	E17001	James Lee	james.lee@org017.org	New York	New York	2024-02-01	2024-04-30	laptop	1	47.8	615	grid	321.7	0	0	68	85.3	Zoom	6.4	328.1
ORG018	car	60.6	Malaysia	E18001	Siti Rahman	siti.rahman@org018.org	Selangor	Kuala Lumpur	2024-01-01	2024-03-31	monitor	2	58.2	620	grid	336.5	19	14.8	62	96.4	Zoom	7.4	404.5
ORG019	none	0	Bulgaria	E19001	Elena Ivanova	elena.ivanova@org019.org	blank	Sofia	2024-04-01	2024-04-15	printer	1	45.6	6.7	solar	4.3	0	0	0	0	blank	0	4.3
ORG020	none	0	Egypt	E20001	Omar Farouk	omar.farouk@org020.org	Cairo	Cairo	2024-02-01	2024-02-28	router	1	11.6	15	solar	6.5	0	0	2	0.8	Google Meet	0.2	6.7

What the 120 rows show

from the 120-row sample

Car (commuting mode) stands out: mean commuting_emissions_kgco2e is 44.1, against 3.7 for the rest.

0.11median commuting_emissions_kgco2e
3virtual collaboration platforms
5home office equipment types
5home energy sources
1median home_office_equipment_quantity
58.2median home_office_equipment_power_rating_watts

Mean commuting_emissions_kgco2e by commuting_mode120 rows

commuting_emissions_kgco2e120 rows, in bands of 10

Median 0.11, from 0.0 to 71.9.

country120 rows · top 10 of 36 values

US12
United States7
Bulgaria7
Nigeria7
Singapore7
Egypt6
Vietnam5
Brazil5
India5
Germany5

24 columns by typefrom the column list below

string 11
integer 3
float 8
date 2

Columns

24 columns in three groups

blueprint · 24 columns
column	type	description	example
Text 11 columns
`organization_id`	string	Unique identifier for the organization or nonprofitunique	ORG001
`employee_id`	string	Unique identifier for each employee or remote workerunique	E1001
`employee_name`	string	Full name of the employee	Amanda Wilcox
`email`	string	Employee's email addressunique	amanda.wilcox@org001.org
`country`	string	Country of the employee's home office	United States
`state`	string	State or region of the employee's home officeoptional	California
`city`	string	City of the employee's home officeoptional	San Francisco
`home_office_equipment_type`	string	Type of home office equipment used (e.g., laptop, monitor, printer)6 values	laptop
`home_energy_source`	string	Primary energy source for the home office (e.g., grid, solar, wind)grid · solar · wind · hydro · other	grid
`commuting_mode`	string	Primary mode of commuting (e.g., car, public transit, bike, walk, none)6 values	none
`virtual_collaboration_platform`	string	Primary virtual collaboration platform used (e.g., Zoom, Teams, Google Meet)3 platforms · optional	Zoom
Numbers 11 columns
`home_office_equipment_quantity`	integer	Number of units of the equipment type used1 or more	1
`home_office_equipment_power_rating_watts`	float	Power rating of the equipment in watts0 or more	52.4
`home_office_equipment_usage_hours`	float	Total hours the equipment was used during the reporting period0 or more	610
`home_energy_consumption_kwh`	float	Total energy consumed for remote work activities in kilowatt-hours during the reporting period0 or more	310.2
`commuting_days`	integer	Number of days the employee commuted to a physical office during the reporting period0 or more	0
`commuting_distance_km`	float	Average one-way commuting distance in kilometers0 or more · optional	0
`commuting_emissions_kgco2e`	float	Estimated CO2 equivalent emissions from commuting during the reporting period (in kilograms)0 or more · optional	0
`virtual_meetings_count`	integer	Total number of virtual meetings attended during the reporting period0 or more	56
`virtual_meetings_total_duration_hours`	float	Total duration of virtual meetings attended during the reporting period (in hours)0 or more	88.7
`virtual_collaboration_emissions_kgco2e`	float	Estimated CO2 equivalent emissions from virtual collaboration activities during the reporting period (in kilograms)0 or more · optional	6.1
`total_carbon_footprint_kgco2e`	float	Total carbon footprint for the employee during the reporting period (in kilograms CO2 equivalent)0 or more	216.3
Dates and times 2 columns
`reporting_period_start`	date	Start date of the reporting period for carbon footprint measurement	2024-01-01
`reporting_period_end`	date	End date of the reporting period for carbon footprint measurement	2024-03-31

Use it for

An energy dashboard
Commuting_emissions_kgco2e by commuting_mode and a breakdown of country. Excel, Power BI or Tableau.
Why do the 22 car rows have a mean commuting_emissions_kgco2e of 44.1?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Organizations120
ORG0010none
ORG00242.3car
ORG00311.5bike
A software demo
Believable organizations with employee_id, employee_name and email to fill a screen in front of a buyer.

This dataset120 rows24 columns

Yours1,000 rows24 columnscountry: UK only

blueprint · remote-office-carbon-footprint-tracker

Behind this dataset

Same schema. As many rows as you need.

These 120 rows came out of a blueprint — 24 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 an individual remote employee’s monthly activity
Power usage must include both work devices and home heating/cooling
Commuting emissions are recorded only if hybrid work is reported
Virtual meeting emissions calculated based on duration and participant count
Renewable energy usage receives positive sustainability weighting
Employees must self-report environmental practices for validation

Rows1,000 rows10,000 rows100,000 rows1,000,000 rows

Open the blueprint in Data Factory

1 credit per row. Preview 20 rows free. Buy rows for the full run.

Exports: CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence: yours to use, including commercially
API slug: remote-office-carbon-footprint-tracker

What should your data show?

No signup. No card.

Sample rows

What the 120 rows show

Columns

Use it for

An energy dashboard

A root-cause class exercise

A software demo

Make it yours.

Same schema. As many rows as you need.

More in Energy

What should your data show?