Manufacturing
22 columns
80 rows
8 formats

Manufacturing Energy Efficiency Benchmark

This dataset provides detailed, plant-level energy usage, output, and benchmarked efficiency metrics for manufacturing facilities, enabling ESG managers and operations leads to identify sustainability gaps, cost-saving opportunities, and best practices for carbon reduction. It supports robust reporting, optimization, and compliance tracking for energy and environmental performance across manufacturing operations.

last updated 26 Nov 2025
by GoMask

The brief that made it

ESG and sustainability reporting for manufacturing plants

Sample rows

preview · 8 of 80 rows · all 22 columns

plant_idstring	output_unitstring	energy_efficiency_metricfloat	address_countrystring	plant_namestring	address_streetstring	address_citystring	address_statestring	address_postal_codestring	reporting_period_startdate	reporting_period_enddate	energy_consumed_kwhfloat	energy_cost_usdfloat	output_quantityfloat	benchmark_efficiency_metricfloat	carbon_emissions_tonnesfloat	renewable_energy_percentagefloat	sustainability_gapfloat	cost_saving_opportunity_usdfloat	best_practices_adoptedstring	compliance_statusstring	last_updateddatetime
PLANT-001-USA-NY	pieces	5.48	USA	Hudson Valley Manufacturing	10 River Road	Poughkeepsie	NY	12601	2023-01-01	2023-03-31	430120.5	41512.77	78500	5.15	148.1	19.8	0.33	2649.51	LED lighting,Production scheduling	compliant	2023-04-03T14:22:37
PLANT-002-CAN-ON	tons	6.2	Canada	Toronto Plastics Inc.	223 Plastics Ave	Toronto	ON	M5A 2B7	2022-07-01	2022-09-30	250910	22875	40500	6	90.2	27.4	0.2	915.47	Variable speed drives	pending	2022-10-01T09:12:09
PLANT-003-USA-TX	tons	5.08	USA	Lone Star Steelworks	1600 Iron Drive	Houston	TX	77029	2023-02-01	2023-04-30	610250.7	55981.2	120200	5.25	181.4	14	-0.17	0	Steam recovery,LED lighting	compliant	2023-05-01T12:44:32
PLANT-004-DEU-HE	pieces	5.44	Germany	Frankfurt Auto Components	36 Werkstrasse	Frankfurt	HE	60329	2022-10-01	2022-12-31	322100.3	29840.1	59200	5	106.6	41.3	0.44	2615.47	Compressed air optimization	compliant	2023-01-02T08:26:55
PLANT-005-USA-IL	liters	5.42	USA	Midwest Food Processing	500 Corn Rd	Decatur	IL	62521	2023-03-01	2023-05-31	157400	14525	29000	5.8	51.3	35.9	-0.38	0	Waste heat recovery,Process optimization	compliant	2023-06-01T10:33:08
PLANT-006-JPN-KN	pieces	4.39	Japan	Kobe Electronics	8 Sannomiya-cho	Kobe	KN	650-0021	2023-04-01	2023-06-30	198450.8	18260	45200	4.55	62.2	25.7	-0.16	0	LED lighting,Building insulation	compliant	2023-07-02T14:10:46
PLANT-007-IND-GJ	tons	6.35	India	Gujarat Chemicals	Plot 31, GIDC Estate	Vadodara	GJ	390010	2022-09-01	2022-11-30	415000	36000	65400	6.1	173.7	10.1	0.25	1595.1	Process optimization	pending	2022-12-01T16:41:04
PLANT-008-USA-CA	pieces	5.26	USA	San Diego Packaging	17 Mission St	San Diego	CA	92121	2023-05-01	2023-07-31	145800.6	13120.5	27700	5	47.5	59.6	0.26	1058.9	LED lighting,Power monitoring	compliant	2023-08-01T08:22:31
PLANT-009-USA-FL	liters	4.97	USA	Orlando Beverage	96 Citrus Blvd	Orlando	FL	32809	2023-01-01	2023-03-31	118900	10900	23900	5.3	38	44.2	-0.33	0	Variable speed drives	compliant	2023-04-01T11:27:15
PLANT-010-FRA-IDF	tons	5.18	France	Paris Textiles	27 Rue de l'Industrie	Paris	IDF	75010	2022-05-01	2022-07-31	201300	18690	38900	5.1	67.9	30.4	0.08	311.2	Compressed air optimization,Insulation	compliant	2022-08-01T07:45:20
PLANT-011-USA-PA	tons	5.1	USA	Pittsburgh Steel	800 Steel Ave	Pittsburgh	PA	15212	2023-02-01	2023-04-30	501200	46920	98200	5.25	157.6	12.8	-0.15	0	Process optimization,Steam recovery	non-compliant	2023-05-02T10:18:05
PLANT-012-CHN-SH	pieces	5.54	China	Shanghai Ceramics	88 Jing'an Rd	Shanghai	SH	200060	2022-08-01	2022-10-31	320800	28200	57900	5.3	108.2	7.3	0.24	1701.6	Insulation,LED lighting	pending	2022-11-01T15:33:48
PLANT-013-USA-MI	pieces	5.46	USA	Detroit Auto Parts	123 Motor City Blvd	Detroit	MI	48216	2023-03-01	2023-05-31	209800	19450	38400	5.1	70.9	32.1	0.36	1388.2	LED lighting,Production scheduling	compliant	2023-06-01T09:15:51
PLANT-014-USA-NC	tons	5.17	USA	Charlotte Textiles	78 Indigo Ave	Charlotte	NC	28202	2022-11-01	2023-01-31	178900	16500	34600	5.2	54.6	29.5	-0.03	0	Compressed air optimization	pending	2023-02-01T08:30:14
PLANT-015-USA-OH	tons	5.32	USA	Cleveland Metals	400 Foundry Lane	Cleveland	OH	44113	2022-10-01	2022-12-31	681200	63400	128100	5.4	202.5	10.7	-0.08	0	Steam recovery,Variable speed drives	compliant	2023-01-02T10:29:43
PLANT-016-GBR-WM	pieces	4.62	UK	Birmingham Engineering	54 Mill Lane	Birmingham	WM	B6 4QA	2023-04-01	2023-06-30	288700	25900	62500	4.85	90.4	23.9	-0.23	0	LED lighting,Insulation	compliant	2023-07-01T11:51:05
PLANT-017-AUS-VIC	liters	5.42	Australia	Melbourne Pharma	23 Discovery Rd	Melbourne	VIC	3000	2023-03-01	2023-05-31	126800	11700	23400	5.1	41.2	36.8	0.32	1064	Process optimization,LED lighting	compliant	2023-06-01T09:42:20
PLANT-018-MEX-NL	pieces	5.15	Mexico	Monterrey Glassworks	59 Avenida Fundidora	Monterrey	NL	64000	2022-09-01	2022-11-30	221400	19200	43000	5.3	74.6	26.2	-0.15	0	LED lighting,Compressed air optimization	compliant	2022-12-01T12:35:58
PLANT-019-BRA-SP	liters	5.29	Brazil	Sao Paulo Foodtech	Rua das Industrias 451	Sao Paulo	SP	04571-010	2023-02-01	2023-04-30	178300	15700	33700	5.5	53.8	34.7	-0.21	0	Variable speed drives,LED lighting	pending	2023-05-01T13:20:12
PLANT-020-USA-GA	tons	5.36	USA	Atlanta Paper Mills	202 Peachtree Ln	Atlanta	GA	30303	2023-04-01	2023-06-30	324100	29750	60500	5.1	106.2	21.1	0.26	1664	Process optimization,LED lighting	compliant	2023-07-01T08:47:32

What the 80 rows show

from the 80-row sample

Tons (output unit) stands out: mean energy_efficiency_metric is 19.0, against 3.1 for the rest.

5.3median energy_efficiency_metric
3compliance statuses
212,400median energy_consumed_kwh
19,750median energy_cost_usd
41,750median output_quantity
5.2median benchmark_efficiency_metric

Mean energy_efficiency_metric by output_unit80 rows

energy_efficiency_metric80 rows, in bands of 5

Median 5.3, from 0.10 to 50.0.

address_country80 rows · top 10 of 24 values

USA36
Japan6
Australia4
Mexico4
Canada3
Germany3
India3
France2
China2
Poland2

22 columns by typefrom the column list below

string 10
float 9
date 2
datetime 1

Columns

22 columns in three groups

blueprint · 22 columns
column	type	description	example
Text 10 columns
`plant_id`	string	Unique identifier for the manufacturing plant or facilityunique	PLANT-001-USA-NY
`plant_name`	string	Official name of the manufacturing plant	Toronto Plastics Inc.
`address_street`	string	Street address of the plant	10 River Road
`address_city`	string	City where the plant is located	Poughkeepsie
`address_state`	string	State or province where the plant is located	NY
`address_postal_code`	string	Postal or ZIP code of the plant	12601
`address_country`	string	Country where the plant is located	USA
`output_unit`	string	Unit of measurement for manufactured output (e.g., tons, pieces, liters)3 units	pieces
`best_practices_adopted`	string	Comma-separated list of best practices adopted for energy efficiency (e.g., LED lighting, process optimization)optional	Variable speed drives
`compliance_status`	string	Compliance status with relevant energy or carbon regulations (e.g., compliant, non-compliant, pending)compliant · non-compliant · pending · optional	compliant
Numbers 9 columns
`energy_consumed_kwh`	float	Total energy consumed by the plant during the reporting period (in kilowatt-hours)0 or more	430120.5
`energy_cost_usd`	float	Total cost of energy consumed during the reporting period (in USD)0 or more · optional	41512.77
`output_quantity`	float	Total quantity of manufactured output during the reporting period (in plant-specific units)0 or more	78500
`energy_efficiency_metric`	float	Calculated energy efficiency metric (e.g., kWh per unit of output)0 or more	5.48
`benchmark_efficiency_metric`	float	Industry benchmark for energy efficiency metric (e.g., average kWh per unit for similar plants)0 or more	5.15
`carbon_emissions_tonnes`	float	Total carbon emissions generated by the plant during the reporting period (in metric tonnes CO2e)0 or more · optional	148.1
`renewable_energy_percentage`	float	Percentage of total energy consumption sourced from renewables during the reporting period0 to 100 · optional	19.8
`sustainability_gap`	float	Difference between plant's energy efficiency metric and benchmark (positive values indicate gap to benchmark)optional	0.33
`cost_saving_opportunity_usd`	float	Estimated cost savings if plant achieves benchmark efficiency (in USD)0 or more · optional	2649.51
Dates and times 3 columns
`reporting_period_start`	date	Start date of the reporting period for energy and output metrics	2023-01-01
`reporting_period_end`	date	End date of the reporting period for energy and output metrics	2023-03-31
`last_updated`	datetime	Timestamp of the last update to this record	2023-04-03T14:22:37

Use it for

A manufacturing dashboard
Energy_efficiency_metric by output_unit and a breakdown of address_country. Excel, Power BI or Tableau.
Why do the 40 tons rows have a mean energy_efficiency_metric of 19.0?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Plants80
PLANT-001-USA-NY5.48pieces
PLANT-002-CAN-ON6.2tons
PLANT-003-USA-TX5.08tons
A software demo
Believable plants with plant_name, address_street and address_city to fill a screen in front of a buyer.

This dataset80 rows22 columns

Yours1,000 rows22 columnsaddress_street: UK only

blueprint · manufacturing-energy-efficiency-benchmark

Behind this dataset

Same schema. As many rows as you need.

These 80 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 manufacturing plant’s monthly energy consumption and output.
Energy consumption is provided in kWh and normalized per unit produced.
Benchmark score compares each plant’s efficiency to industry average.
Plants with missing energy usage data are flagged as 'incomplete'.
CO2 emissions calculated using standard conversion factors.
Top 10% efficient plants marked for best practices reference.

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: manufacturing-energy-efficiency-benchmark

What should your data show?

No signup. No card.

Sample rows

What the 80 rows show

Columns

Use it for

A manufacturing dashboard

A root-cause class exercise

A software demo

Make it yours.

Same schema. As many rows as you need.

More in Manufacturing

What should your data show?