Manufacturing
25 columns
75 rows
8 formats

Supplier Risk Scoring Dataset

This dataset provides a comprehensive risk assessment framework for suppliers, including operational, financial, and ESG indicators, along with performance metrics and contact information. It enables manufacturers to evaluate, benchmark, and monitor supplier risk, supporting proactive supply chain resilience and supplier improvement strategies.

last updated 24 Jan 2026
by GoMask

The brief that made it

Supplier risk assessment and ranking for procurement decisions

Sample rows

preview · 8 of 75 rows · all 25 columns

supplier_idstring	risk_levelstring	overall_risk_scorefloat	esg_certifiedboolean	address_countrystring	supplier_namestring	address_streetstring	address_citystring	address_statestring	address_postal_codestring	contact_namestring	contact_emailstring	contact_phonestring	industry_sectorstring	annual_revenuefloat	number_of_employeesinteger	years_in_businessinteger	financial_risk_scorefloat	operational_risk_scorefloat	esg_risk_scorefloat	last_assessment_datedate	assessment_frequency_monthsinteger	on_time_delivery_ratefloat	quality_incident_countinteger	notesstring
SUP001	Low	29.57	true	USA	Northwood Manufacturing	1200 Elm St	Cincinnati	OH	45202	Linda Parsons	lparsons@northwoodmfg.com	+1-513-555-0212	Automotive	21250000.45	95	14	28.7	39.4	20.6	2024-04-14	12	96.5	2	Consistent performance. ESG certified since 2021.
SUP002	Medium	40.94	true	Canada	Trident Plastics	920 Main Ave	Toronto	ON	M4C 1B5	Gurpreet Singh	g.singh@tridentplastics.ca	+1-416-555-8372	Plastics	6800000	60	9	43.1	51.8	27.9	2024-05-18	6	85.2	5	Recent process improvements lowered risk.
SUP003	Low	25.43	false	USA	Global Steelworks	3704 Industrial Blvd	Houston	TX	77023	Miguel Cortez	mcortez@globalsteel.com	+1-713-555-1904	Metals	32800000.67	210	21	19.2	24.7	32.4	2024-03-29	12	92.1	3	High operational uptime, lacks ESG certification.
SUP004	Medium	31.43	true	UK	GreenLeaf Packaging	11 Willow Rd	Leeds	West Yorkshire	LS6 2AA	Sarah Turner	sarah.turner@greenleafpack.co.uk	+44-113-555-0089	Packaging	2350000	28	6	47.8	32.5	15	2024-06-09	6	98.7	0	Strong ESG commitment, low incident rate.
SUP005	Medium	56.71	false	USA	Eastern Components	75 Harbor St	Boston	MA	02110	Jason Flynn	j.flynn@easterncomp.com	+1-617-555-3322	Electronics	11200000	77	12	59.6	62.4	48.1	2024-04-05	9	81.3	7	Operational delays reported last quarter.
SUP006	High	68.13	false	USA	Midwest Fasteners	962 Oak Lane	Des Moines	IA	50309	Rebecca Lowe	rlowe@mwfasteners.com	+1-515-555-1803	Industrial	3900000	42	10	72.9	77.3	54.2	2024-02-27	3	75.1	12	High risk: frequent late shipments.
SUP007	Medium	38.7	false	USA	Solstice Electronics	888 Solar Drive	Phoenix	AZ	85016	Mark Chan	mark.chan@solsticeel.com	+1-602-555-7001	Electronics	5900000	54	8	38.2	41.7	36.2	2024-06-08	12	89.3	4	Improved delivery performance in past year.
SUP008	Medium	52.1	false	USA	Apex Metals	4300 Silver St	Detroit	MI	48211	Devin Jacobs	djacobs@apexmetals.com	+1-313-555-1192	Metals	7740000	67	11	48.5	39	68.8	2024-05-03	6	87.9	6	ESG risk flagged for review.
SUP009	Low	22.97	true	USA	Pacific Textiles	22 Ocean View	San Francisco	CA	94103	Rachel Kim	rkim@pacifictextiles.com	+1-415-555-9204	Textiles	3400000	38	7	22.8	29.9	16.3	2024-04-28	12	93.7	2	Strong compliance, low risk.
SUP010	Low	25.27	true	France	EuroTech Solutions	50 Rue Garnier	Paris	Île-de-France	75010	Jean-Luc Bernard	jl.bernard@eurotech.fr	+33-1-555-0309	Electronics	12600000	82	15	36.3	27.6	12	2024-05-11	6	95.6	1	ESG leader in region.
SUP011	Medium	45.64	false	USA	Redwood Timber	100 Forest Road	Portland	OR	97209	Peter Novak	pnovak@redwoodtimber.com	+1-503-555-2341	Wood Products	9300000	49	13	53.7	45.2	38	2024-04-21	6	83.5	3	Environmental risk flagged.
SUP012	High	75.87	false	Germany	NovaChem	301 River St	Munich	Bavaria	80331	Katrin Weiss	katrin.weiss@novachem.de	+49-89-555-2211	Chemicals	15400000	112	19	77.9	67.2	82.5	2024-05-27	3	69.2	18	Critical: high incidents, ESG concern.
SUP013	Medium	39.87	false	USA	Aldridge Tools	810 Miller Ave	Chicago	IL	60607	Patricia Hines	phines@aldridgetools.com	+1-312-555-4432	Industrial	5300000	39	11	31.2	44.1	44.3	2024-04-16	9	89.7	5	Quality improvement program in place.
SUP014	Low	25.4	true	UK	BlueSky Textiles	45 South Blvd	Manchester	Greater Manchester	M1 2AB	Emily Foster	e.foster@blueskytextiles.co.uk	+44-161-555-9001	Textiles	4800000	33	8	22.5	31.6	22.1	2024-03-14	12	97.2	1	Low risk, strong ESG practices.
SUP015	Medium	37.67	false	USA	Sunrise Components	201 Sunrise Blvd	Miami	FL	33131	Carlos Diaz	cdiaz@sunrisecomp.com	+1-305-555-7821	Electronics	12700000	80	13	40.3	38	34.7	2024-05-19	6	90.4	3	Stable supplier, moderate risk.
SUP016	Medium	56.37	false	UK	Atlas Fasteners	72 King St	Birmingham	West Midlands	B1 1AA	James Parker	j.parker@atlasfasteners.co.uk	+44-121-555-7766	Industrial	5100000	41	9	58.2	62.9	48	2024-06-02	3	80.5	7	Operational risk increasing.
SUP017	Medium	42.13	false	Latvia	Baltic Chemicals	8 Market Square	Riga	Riga	LV-1050	Ilze Ozols	ilze.ozols@balticchem.lv	+371-670-5551	Chemicals	2260000	22	5	36.8	49.1	40.5	2024-05-23	6	90	4	Moderate risk, small size.
SUP018	Low	17.2	true	Australia	Orion Packaging	100 Orion Way	Sydney	NSW	2000	Rebecca Li	rebecca.li@orionpack.com.au	+61-2-5558-0101	Packaging	3100000	27	6	15.2	22.9	13.5	2024-06-06	12	99	0	Excellent delivery, ESG certified.
SUP019	Critical	85.87	false	Iceland	Arctic Metalworks	400 Ice Rd	Reykjavik	Capital Region	101	Kristjan Sigurdsson	k.sigurdsson@arcticmetal.is	+354-555-9002	Metals	1200000	15	4	81.4	84.2	92	2024-02-13	3	55.6	22	Critical risk: multiple failures.
SUP020	Medium	39.77	true	USA	BrightLine Plastics	77 Industrial Park	Dallas	TX	75247	Xavier Brooks	x.brooks@brightlineplastics.com	+1-214-555-2102	Plastics	8600000	57	10	45.6	44.2	29.5	2024-05-09	6	88.4	3	ESG certified, moderate risk.

What the 75 rows show

from the 75-row sample

Low (risk level) stands out: mean overall_risk_score is 24.0, against 49.7 for the rest.

47%esg_certified = true
39.9median overall_risk_score
5,100,000median annual_revenue
67median number_of_employees
11median years_in_business
38.5median financial_risk_score

Mean overall_risk_score by risk_level75 rows

overall_risk_score75 rows, in bands of 10

Median 39.9, from 15.2 to 85.9.

address_country75 rows · top 10 of 28 values

USA20
Canada7
United States7
UK6
Australia5
Germany3
South Africa3
United Kingdom3
Japan2
France1

25 columns by typefrom the column list below

string 13
integer 4
float 6
date 1
boolean 1

Columns

25 columns in four groups

blueprint · 25 columns
column	type	description	example
Text 13 columns
`supplier_id`	string	Unique identifier for the supplierunique	SUP001
`supplier_name`	string	Official name of the supplier	Northwood Manufacturing
`address_street`	string	Street address of the supplier's headquartersoptional	1200 Elm St
`address_city`	string	City where the supplier is locatedoptional	Cincinnati
`address_state`	string	State or province where the supplier is locatedoptional	OH
`address_postal_code`	string	Postal or ZIP code of the supplier's addressoptional	45202
`address_country`	string	Country where the supplier is located	USA
`contact_name`	string	Primary contact person's name at the supplieroptional	Linda Parsons
`contact_email`	string	Primary contact email address for the supplieroptional	mcortez@globalsteel.com
`contact_phone`	string	Primary contact phone number for the supplieroptional	+1-513-555-0212
`industry_sector`	string	Industry sector in which the supplier operatesoptional	Automotive
`risk_level`	string	Categorical risk level based on overall scoreLow · Medium · High · Critical	Low
`notes`	string	Additional notes or comments about the supplier or risk assessmentoptional	ESG leader in region.
Numbers 10 columns
`annual_revenue`	float	Supplier's annual revenue in USD0 or more · optional	21250000.45
`number_of_employees`	integer	Total number of employees at the supplier0 or more · optional	95
`years_in_business`	integer	Number of years the supplier has been in operation0 or more · optional	14
`financial_risk_score`	float	Risk score based on financial indicators (0-100, higher is riskier)0 to 100	28.7
`operational_risk_score`	float	Risk score based on operational indicators (0-100, higher is riskier)0 to 100	39.4
`esg_risk_score`	float	Risk score based on ESG (Environmental, Social, Governance) indicators (0-100, higher is riskier)0 to 100	20.6
`overall_risk_score`	float	Composite overall risk score (0-100, higher is riskier)0 to 100	29.57
`assessment_frequency_months`	integer	Frequency of risk assessments in months1 or more · optional	12
`on_time_delivery_rate`	float	Percentage of orders delivered on time (0-100)0 to 100 · optional	96.5
`quality_incident_count`	integer	Number of quality incidents reported in the last 12 months0 or more · optional	2
Dates and times 1 column
`last_assessment_date`	date	Date of the most recent risk assessment	2024-04-14
True or false 1 column
`esg_certified`	boolean	Whether the supplier holds any ESG-related certificationsoptional	true

Use it for

A manufacturing dashboard
The esg_certified rate, overall_risk_score by risk_level and a breakdown of address_country. Excel, Power BI or Tableau.
Why do the 22 Low rows have a mean overall_risk_score of 24.0?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Suppliers75
SUP00129.57Low
SUP00240.94Medium
SUP00325.43Low
A software demo
Believable suppliers with supplier_name, address_street and address_city to fill a screen in front of a buyer.

This dataset75 rows25 columns

Yours10,000 rows25 columnsaddress_street: UK only

blueprint · supplier-risk-scoring-dataset

Behind this dataset

Same schema. As many rows as you need.

These 75 rows came out of a blueprint — 25 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

Suppliers must have at least one year of transaction history.
Risk scores are calculated using a weighted blend of delivery delays, quality issues, and financial health metrics.
ESG compliance flags add bonus/penalty points to the risk score.
High-risk suppliers are highlighted for review and follow-up.
Inactive suppliers (no transactions in 12 months) are automatically excluded.

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: supplier-risk-scoring-dataset

What should your data show?

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Sample rows

What the 75 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?