Energy
23 columns
48 rows
8 formats

Remote Workforce GHG Emissions Log

This dataset provides detailed logs of greenhouse gas emissions associated with remote workforce activities, including energy consumption, emissions avoided, and carbon offset actions. It is tailored for nonprofits and SMBs seeking to monitor, report, and optimize the sustainability impact of telecommuting for ESG and carbon reduction initiatives.

last updated 23 Jan 2026
by GoMask

The brief that made it

ESG and sustainability reporting for remote workforce

Sample rows

preview · 8 of 48 rows · all 23 columns

log_idstring	organization_idstring	commute_emissions_avoided_kgco2efloat	departmentstring	employee_idstring	employee_namestring	reporting_period_startdate	reporting_period_enddate	days_worked_remotelyinteger	average_daily_work_hoursfloat	home_office_energy_consumption_kwhfloat	home_heating_cooling_energy_kwhfloat	internet_usage_gbfloat	video_conferencing_hoursfloat	total_ghg_emissions_kgco2efloat	carbon_offset_purchased_kgco2efloat	location_street_addressstring	location_citystring	location_statestring	location_postal_codestring	location_countrystring	energy_source_typestring	notesstring
GHGLOG-0001	ORG-001	42.6	Finance	EMP-1001	Jasmine Patel	2024-05-01	2024-05-31	21	7.8	45.2	28.6	58.3	23.7	18.9	8.5	217 Willow Avenue	Austin	TX	78701	USA	grid	Participated in green energy program.
GHGLOG-0002	ORG-002	39	IT	EMP-1002	Liam Chen	2024-05-01	2024-05-31	19	8.3	51.7	19.8	68.9	30.1	22.4	12	303 Maple Street	Seattle	WA	98109	USA	solar	Solar panels installed.
GHGLOG-0003	ORG-003	28.2	Marketing	EMP-1003	Miguel Rodriguez	2024-04-01	2024-04-30	16	7	33.8	31.5	42.5	19.6	15.6	6.7	789 Cedar Lane	Denver	CO	80202	USA	grid	blank
GHGLOG-0004	ORG-001	38.7	HR	EMP-1004	Emily Nguyen	2024-04-15	2024-05-14	20	6.5	39.2	24	54.8	18.9	17.8	9.2	456 Spruce Drive	San Francisco	CA	94107	USA	hydro	Uses energy-efficient equipment.
GHGLOG-0005	ORG-004	41.9	Operations	EMP-1005	Priya Singh	2024-03-01	2024-03-31	23	7.9	60.5	17.6	74.1	29.2	23.3	20.1	12 Oak Court	Chicago	IL	60605	USA	grid	High internet usage due to webinars.
GHGLOG-0006	ORG-002	36.8	Development	EMP-1006	Sarah O'Connor	2024-03-15	2024-04-14	18	8.1	47.9	21.4	61.2	24.5	19.5	17	88 Birch Road	Portland	OR	97209	USA	wind	blank
GHGLOG-0007	ORG-003	24.4	Support	EMP-1007	David Kim	2024-05-01	2024-05-31	16	6.7	27.4	15.2	37.8	12.6	12.9	7.6	320 Pine Street	Los Angeles	CA	90015	USA	grid	blank
GHGLOG-0008	ORG-001	46.1	Programs	EMP-1008	Ana Martinez	2024-04-01	2024-04-30	22	8.4	55.2	29	69.4	26.3	24.2	12.2	17 Elm Circle	Houston	TX	77002	USA	grid	Upgraded to LED lighting.
GHGLOG-0009	ORG-004	37.2	Finance	EMP-1009	Lucas Wright	2024-02-01	2024-02-28	20	7.5	40.7	23.6	46.9	17.8	16.7	8	145 Aspen Drive	Miami	FL	33101	USA	solar	Participated in local solar initiative.
GHGLOG-0010	ORG-002	34.7	Marketing	EMP-1010	Emma Johnson	2024-03-01	2024-03-31	18	8.7	52.6	20.4	59.2	21.5	20.8	17.5	210 Holly Road	Boston	MA	02108	USA	hydro	blank
GHGLOG-0011	ORG-003	22.3	Development	EMP-1011	Mohamed Ali	2024-05-01	2024-05-31	15	7.6	32.3	26.5	36.7	15.1	13.6	6.1	991 Chestnut Street	Philadelphia	PA	19103	USA	wind	Uses smart thermostat.
GHGLOG-0012	ORG-001	39.7	HR	EMP-1012	Grace Lee	2024-04-01	2024-04-30	21	8.1	43.6	22.1	51.3	20.2	17.9	9.5	56 Poplar Avenue	Dallas	TX	75201	USA	grid	blank
GHGLOG-0013	ORG-004	36.4	Programs	EMP-1013	Sofia Garcia	2024-02-15	2024-03-14	20	7.2	39.1	19.3	45.5	17.7	15.4	7	840 Willow Lane	Phoenix	AZ	85004	USA	solar	blank
GHGLOG-0014	ORG-002	48.6	IT	EMP-1014	Alex Murphy	2024-04-01	2024-04-30	22	8.2	56.4	20.8	71.7	30.7	24	19.5	600 King Street	San Jose	CA	95112	USA	hydro	Hydro energy sourced.
GHGLOG-0015	ORG-003	29.8	Finance	EMP-1015	Olivia Brown	2024-03-01	2024-03-31	17	7.4	34.5	27.1	49.8	14.2	14.7	10	1200 Broadway	Sacramento	CA	95818	USA	grid	blank
GHGLOG-0016	ORG-001	39.5	Development	EMP-1016	Noah Evans	2024-05-01	2024-05-31	19	8	48.7	26.9	57.8	20.6	19.8	14.8	31 Magnolia Boulevard	Raleigh	NC	27601	USA	wind	blank
GHGLOG-0017	ORG-004	16.5	Support	EMP-1017	Ethan Carter	2024-03-01	2024-03-31	14	6.8	22.9	13.1	29.5	11.7	9.2	7.8	700 Spruce Avenue	Columbus	OH	43215	USA	grid	blank
GHGLOG-0018	ORG-002	50.7	Operations	EMP-1018	Ava Moore	2024-02-01	2024-02-28	24	8.5	61.3	25.2	80.2	35.4	26.3	21.9	89 Redwood Street	San Diego	CA	92101	USA	solar	Remote onboarding training.
GHGLOG-0019	ORG-003	27.5	Marketing	EMP-1019	William Turner	2024-05-01	2024-05-31	17	7.3	31.9	22.8	41.1	13.9	12.8	11	900 Olive Street	Kansas City	MO	64106	USA	grid	blank
GHGLOG-0020	ORG-001	43.9	Programs	EMP-1020	Isabella Scott	2024-04-15	2024-05-14	21	8.2	53.1	27.7	67.6	28.4	22.7	20.2	700 Walnut Avenue	Charlotte	NC	28202	USA	hydro	blank

What the 48 rows show

from the 48-row sample

ORG-003 (organization id) stands out: mean commute_emissions_avoided_kgco2e is 25.3, against 39.5 for the rest.

37.0median commute_emissions_avoided_kgco2e
4energy source types
19.5median days_worked_remotely
7.8median average_daily_work_hours
43.4median home_office_energy_consumption_kwh
22.5median home_heating_cooling_energy_kwh

Mean commute_emissions_avoided_kgco2e by organization_id48 rows

commute_emissions_avoided_kgco2e48 rows, in bands of 5

Median 37.0, from 12.8 to 55.8.

department48 rows · 8 values

Development8
Finance7
Marketing7
Operations6
Support6
HR5
Programs5
IT4

23 columns by typefrom the column list below

string 12
integer 1
float 8
date 2

Columns

23 columns in three groups

blueprint · 23 columns
column	type	description	example
Text 12 columns
`log_id`	string	Unique identifier for each GHG emissions log entryunique	GHGLOG-0001
`employee_id`	string	Unique identifier for the remote employee	EMP-1001
`employee_name`	string	Full name of the remote employee	Jasmine Patel
`department`	string	Department or team the employee belongs to8 departments · optional	Finance
`organization_id`	string	Unique identifier for the nonprofit or SMB organization4 organizations	ORG-001
`location_street_address`	string	Street address of the employee's remote work locationoptional	217 Willow Avenue
`location_city`	string	City of the employee's remote work locationoptional	Austin
`location_state`	string	State or province of the employee's remote work locationoptional	TX
`location_postal_code`	string	Postal code of the employee's remote work locationoptional	78701
`location_country`	string	Country of the employee's remote work locationoptional	USA
`energy_source_type`	string	Primary energy source type for the home office (e.g., grid, solar, wind)grid · solar · wind · hydro · other · optional	grid
`notes`	string	Additional notes or comments about the log entryoptional	Solar panels installed.
Numbers 9 columns
`days_worked_remotely`	integer	Number of days the employee worked remotely during the reporting period0 or more	21
`average_daily_work_hours`	float	Average number of hours worked remotely per day during the reporting period0 to 24 · optional	7.8
`home_office_energy_consumption_kwh`	float	Estimated total energy consumption (in kWh) for home office equipment during the reporting period0 or more · optional	45.2
`home_heating_cooling_energy_kwh`	float	Estimated energy consumption (in kWh) for heating/cooling attributed to remote work during the reporting period0 or more · optional	28.6
`internet_usage_gb`	float	Estimated internet data usage (in GB) for work purposes during the reporting period0 or more · optional	58.3
`video_conferencing_hours`	float	Total hours spent on video conferencing during the reporting period0 or more · optional	23.7
`commute_emissions_avoided_kgco2e`	float	Estimated kilograms of CO2e emissions avoided due to remote work (no commuting)0 or more · optional	42.6
`total_ghg_emissions_kgco2e`	float	Total estimated greenhouse gas emissions (kg CO2e) associated with remote work activities for the reporting period0 or more	18.9
`carbon_offset_purchased_kgco2e`	float	Amount of carbon offsets purchased (kg CO2e) for this reporting period0 or more · optional	8.5
Dates and times 2 columns
`reporting_period_start`	date	Start date of the reporting period for this log entry	2024-05-01
`reporting_period_end`	date	End date of the reporting period for this log entry	2024-05-31

Use it for

An energy dashboard
Commute_emissions_avoided_kgco2e by organization_id and a breakdown of department. Excel, Power BI or Tableau.
Why do the 12 ORG-003 rows have a mean commute_emissions_avoided_kgco2e of 25.3?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Logs48
GHGLOG-000142.6ORG-001
GHGLOG-000239ORG-002
GHGLOG-000328.2ORG-003
A software demo
Believable logs with employee_id, employee_name and department to fill a screen in front of a buyer.

This dataset48 rows23 columns

Yours10,000 rows23 columnslocation_street_address: UK only

blueprint · remote-workforce-ghg-emissions-log

Behind this dataset

Same schema. As many rows as you need.

These 48 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 a unique remote employee's monthly emissions profile.
Emissions calculated using energy consumption, internet usage, and commute avoidance data.
Include qualitative factors such as renewable energy usage at home.
Data must be anonymized and suitable for ESG compliance documentation.

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

Open the blueprint in Data Factory

1 credit per row. New accounts start with 25 free credits.

Exports: CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence: yours to use, including commercially
API slug: remote-workforce-ghg-emissions-log

What should your data show?

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Sample rows

What the 48 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?