Manufacturing
18 columns
60 rows
8 formats

Factory Carbon Emissions Tracker

This dataset provides monthly, asset-level carbon emissions data across multiple factories and production lines, supporting detailed analysis, regulatory compliance, and sustainability benchmarking in manufacturing operations. It enables identification of high-emission assets, tracks energy consumption, and flags compliance issues, empowering data-driven environmental improvements.

last updated 30 Nov 2025
by GoMask

The brief that made it

Monitor and benchmark carbon emissions across factories and production lines

Sample rows

preview · 8 of 60 rows · all 18 columns

factory_idstring	carbon_emission_tonnesfloat	compliance_flagboolean	factory_location_countrystring	factory_namestring	factory_location_streetstring	factory_location_citystring	factory_location_statestring	factory_location_postal_codestring	production_line_idstring	production_line_namestring	asset_idstring	asset_namestring	asset_typestring	emission_monthdate	energy_consumed_mwhfloat	emission_factorfloat	notesstring
F001	52.3	true	Canada	Northgate Manufacturing	12 Industrial Ave	Toronto	Ontario	M5V 2T6	PL-A1	Assembly Line A1	A1001	High Temp Furnace	furnace	2023-03-01	418.6	0.125	Routine operation
F001	14.8	true	Canada	Northgate Manufacturing	12 Industrial Ave	Toronto	Ontario	M5V 2T6	PL-A2	Assembly Line A2	A1002	Conveyor Belt System	conveyor	2023-03-01	115	0.129	blank
F001	35.1	true	Canada	Northgate Manufacturing	12 Industrial Ave	Toronto	Ontario	M5V 2T6	PL-A3	Metal Press Line	A1003	Hydraulic Press 400T	press	2023-03-01	240.3	0.146	blank
F002	27.6	false	USA	Sunrise Components	201 Sunrise Rd	Houston	Texas	77002	PL-B1	Finishing Line	A2001	Paint Oven	oven	2023-04-01	190.7	0.145	Exceeded threshold due to unexpected overtime
F002	5.9	true	USA	Sunrise Components	201 Sunrise Rd	Houston	Texas	77002	PL-B2	Assembly Line B2	A2002	Automated Screwdriver	robotic arm	2023-04-01	31.2	0.189	blank
F002	3.2	true	USA	Sunrise Components	201 Sunrise Rd	Houston	Texas	77002	PL-B3	Packaging Line	A2003	Shrink Wrap Machine	wrapper	2023-04-01	20.5	0.156	blank
F003	18.5	true	Germany	EuroTech Plastics	48 Berliner Str.	Berlin	Berlin	10115	PL-C1	Injection Molding C1	A3001	Molding Machine MK5	molder	2023-05-01	122	0.152	blank
F003	22.7	true	Germany	EuroTech Plastics	48 Berliner Str.	Berlin	Berlin	10115	PL-C2	Forming Line C2	A3002	Extruder XL	extruder	2023-05-01	154.3	0.147	Preventive maintenance performed
F003	4.3	true	Germany	EuroTech Plastics	48 Berliner Str.	Berlin	Berlin	10115	PL-C3	Packaging Line C3	A3003	Sealing Machine X2	sealer	2023-05-01	29.7	0.145	blank
F004	64.2	false	USA	Pacific Steelworks	99 Foundry Blvd	Los Angeles	California	90023	PL-D1	Steel Smelting	A4001	Blast Furnace Alpha	furnace	2023-03-01	545.4	0.118	Non-compliance due to fuel impurity
F004	48.6	true	USA	Pacific Steelworks	99 Foundry Blvd	Los Angeles	California	90023	PL-D2	Casting Line	A4002	Continuous Caster	caster	2023-03-01	390.8	0.124	blank
F004	26.2	true	USA	Pacific Steelworks	99 Foundry Blvd	Los Angeles	California	90023	PL-D3	Rolling Mill	A4003	Mill Stand 3	roller	2023-03-01	165.6	0.158	blank
F005	16.4	true	China	EastAsia Electronics	88 Silicon St	Shenzhen	Guangdong	518048	PL-E1	PCB Production	A5001	Reflow Oven	oven	2023-02-01	121.1	0.135	blank
F005	9.2	true	China	EastAsia Electronics	88 Silicon St	Shenzhen	Guangdong	518048	PL-E2	Assembly E2	A5002	Pick and Place Machine	robotic arm	2023-02-01	67.8	0.136	blank
F005	3.8	true	China	EastAsia Electronics	88 Silicon St	Shenzhen	Guangdong	518048	PL-E3	Testing Line	A5003	ICT Tester	tester	2023-02-01	19	0.2	blank
F006	2.4	true	UK	Emerald Automotive	18 Motorway	Coventry	West Midlands	CV6 6AJ	PL-F1	Engine Assembly	A6001	Torque Wrench Station	tool	2023-04-01	11.6	0.207	Routine calibration
F006	19.6	false	UK	Emerald Automotive	18 Motorway	Coventry	West Midlands	CV6 6AJ	PL-F2	Paint Shop	A6002	Paint Booth 2	booth	2023-04-01	158.9	0.123	Non-compliance due to ventilation issue
F006	7.7	true	UK	Emerald Automotive	18 Motorway	Coventry	West Midlands	CV6 6AJ	PL-F3	Chassis Line	A6003	Robotic Welder	welder	2023-04-01	54.6	0.141	blank
F007	11.3	true	Sweden	Nordic Furniture	72 Skogsvägen	Stockholm	Stockholm	114 53	PL-G1	Wood Cutting	A7001	Saw Mill 8L	saw	2023-05-01	77.2	0.146	Routine operation
F007	6.2	true	Sweden	Nordic Furniture	72 Skogsvägen	Stockholm	Stockholm	114 53	PL-G2	Assembly G2	A7002	Upholstery Press	press	2023-05-01	41.1	0.151	blank

What the 60 rows show

from the 60-row sample

82%compliance_flag = true
19.4median carbon_emission_tonnes
102.5median energy_consumed_mwh
0.22median emission_factor

carbon_emission_tonnes60 rows, in bands of 10

Median 19.4, from 2.4 to 95.7.

factory_location_country60 rows · top 10 of 26 values

USA13
UK8
Canada4
Germany4
China4
Sweden4
Singapore3
India2
Switzerland1
Latvia1

18 columns by typefrom the column list below

string 13
float 3
date 1
boolean 1

Columns

18 columns in four groups

blueprint · 18 columns
column	type	description	example
Text 13 columns
`factory_id`	string	Unique identifier for each factory	F001
`factory_name`	string	Name of the factory	Northgate Manufacturing
`factory_location_street`	string	Street address of the factoryoptional	12 Industrial Ave
`factory_location_city`	string	City where the factory is locatedoptional	Toronto
`factory_location_state`	string	State or region where the factory is locatedoptional	Ontario
`factory_location_postal_code`	string	Postal code of the factory locationoptional	M5V 2T6
`factory_location_country`	string	Country where the factory is located	Canada
`production_line_id`	string	Unique identifier for each production line within a factory	PL-A1
`production_line_name`	string	Name or label of the production line	Assembly Line A1
`asset_id`	string	Unique identifier for each asset (machine or equipment) on the production line	A1001
`asset_name`	string	Name or description of the asset	High Temp Furnace
`asset_type`	string	Type or category of the asset (e.g., furnace, conveyor, press)	furnace
`notes`	string	Additional notes or comments about the emission record (e.g., maintenance, anomalies)optional	Routine operation
Numbers 3 columns
`carbon_emission_tonnes`	float	Total carbon emissions in metric tonnes for the asset during the month0 or more	52.3
`energy_consumed_mwh`	float	Total energy consumed by the asset in megawatt-hours during the month0 or more · optional	418.6
`emission_factor`	float	Emission factor used for calculation (tonnes CO2 per MWh or relevant unit)0 or more · optional	0.125
Dates and times 1 column
`emission_month`	date	First day of the month for which emissions are recorded (YYYY-MM-01)	2023-03-01
True or false 1 column
`compliance_flag`	boolean	Indicates if the asset's emissions are within regulatory compliance for the monthoptional	true

Use it for

A manufacturing dashboard
The compliance_flag rate, carbon_emission_tonnes and a breakdown of factory_location_country. Excel, Power BI or Tableau.
Why do 49 of 60 rows have compliance_flag = true?
A class exercise
Hand out the rows and one question. Everyone works from the same 60 rows.
Factories60
F00152.3true
F00114.8true
F00227.6false
A software demo
Believable factories with factory_name, factory_location_street and factory_location_city to fill a screen in front of a buyer.

This dataset60 rows18 columns

Yours1,000 rows18 columnsfactory_location_street: UK only

blueprint · factory-carbon-emissions-tracker

Behind this dataset

Same schema. As many rows as you need.

These 60 rows came out of a blueprint — 18 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 single production line’s emissions for a given month.
Total emissions are measured in metric tons CO₂ equivalent.
Production volume and asset utilization rates are included for context.
Flags are included for regulatory compliance breaches.
Include a rolling average of quarterly emissions per production line.

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: factory-carbon-emissions-tracker

What should your data show?

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Sample rows

What the 60 rows show

Columns

Use it for

A manufacturing dashboard

A class exercise

A software demo

Make it yours.

Same schema. As many rows as you need.

More in Manufacturing

What should your data show?