Supplier Sustainability Risk Dashboard

This dataset provides a detailed, up-to-date dashboard of supplier sustainability risks across compliance, emissions, and labor practices for non-retail supply chains. It supports ESG reporting, supply chain resilience planning, and proactive risk management by offering granular scores, audit results, and certification data for each supplier.

  • last updated 19 Dec 2025
  • by GoMask
The brief that made it

Supplier risk assessment and monitoring for sustainability initiatives

Sample rows

preview · 8 of 120 rows · all 19 columns
supplier_idstringoverall_sustainability_risk_levelstringlabor_practices_scorefloataudit_passedbooleanesg_certificationsstringsupplier_namestringindustry_sectorstringcountrystringaddress_streetstringaddress_citystringaddress_statestringaddress_postal_codestringcontact_emailstringrisk_assessment_datedatecompliance_scorefloatemissions_scorefloatlast_audit_datedateactivebooleanrisk_commentsstring
SUP-0001Low86.9trueISO14001,LEEDGreenLeaf Forestry Inc.ForestryCanada742 Maple LaneVancouverBCV5K4C3contact@greenleafforestry.ca2024-05-2081.788.32024-05-02trueSupplier demonstrates strong compliance and ESG reporting. No major risk factors identified.
SUP-0002Low94.4trueISO14001,ISO9001,EMASSolarWave EnergyRenewable EnergyGermany22 SonnenstrasseBerlinBE10117info@solarwave-energy.de2024-04-2792.597.12024-04-20trueRecent audit confirms excellent sustainability standards and strong labor policies.
SUP-0003Low90.4trueISO14001,ISO26000QuantumTech SolutionsTechnologyUSA501 Silicon AvenueSan JoseCA95134support@quantumtechus.com2024-06-0387.280.12024-05-30trueSupplier maintains robust ESG practices; no violations in recent audit.
SUP-0004Moderate59.4trueISO14001IronPulse Metals Ltd.Metals & MiningAustralia98 Outback RoadPerthWA6000info@ironpulsemetals.au2024-05-1861.274.72024-05-07trueModerate labor risks identified; emissions reporting requires improvement.
SUP-0005Moderate62.3trueISO14001,ISO45001FreshHarvest FoodsFood ProcessingFrance17 Rue des ChampsLyonARA69007contact@freshharvest.fr2024-04-1468.678.62024-04-04trueLabor diversity initiatives noted; compliance documentation pending.
SUP-0006Low77.9trueISO14001,REACH,ISO9001EcoChem Solutions Ltd.ChemicalsUK48 ThameswayLondonblankSW1A2AAesg@ecochemsolutions.co.uk2024-06-0176.272.42024-05-24trueStrong compliance record and active ESG certifications.
SUP-0007High34.7falseblankSilverPeak MiningMetals & MiningSouth Africa120 Gold StreetJohannesburgGP2001info@silverpeakmining.co.za2024-04-2829.542.12024-04-10falseSignificant compliance gaps and labor violations reported.
SUP-0008High41.6falseblankAgriPrime SuppliesAgricultureBrazil500 Avenida PaulistaSao PauloSP01310-000contact@agriprime.com.br2024-05-0545.949.22024-04-28falseEmissions exceed acceptable limits; labor practices under review.

What the 120 rows show

from the 120-row sample

Critical (overall sustainability risk level) stands out: mean labor_practices_score is 20.8, against 74.9 for the rest.

  • 78%audit_passed = true
  • 74.5median labor_practices_score
  • 15industry sectors
  • 36countries
  • 74.7median compliance_score
  • 75.3median emissions_score
Mean labor_practices_score by overall_sustainability_risk_level120 rows
05010087.9Low52 rows68.3Moderate32 rows52.6High21 rows20.8Critical15 rows
labor_practices_score120 rows, in bands of 10
01530168161911212324050100labor_practices_score →

Median 74.5, from 9.3 to 99.2.

esg_certifications88 rows with a value · 32 left blank
  1. ISO1400126
  2. ISO14001,ISO900117
  3. ISO14001,ISO450016
  4. ISO14001,LEED4
  5. ISO14001,ISO9001,LEED4
  6. FSC,ISO140014
  7. ISO14001,ISO260002
  8. ISO14001,ISO9001,ISO260002
  9. ISO14001,PEFC2
  10. ISO14001,REACH2
19 columns by typefrom the column list below
  • string 12
  • float 3
  • date 2
  • boolean 2

Columns

19 columns in four groups
blueprint · 19 columns
columntypedescriptionexample
Text 12 columns
supplier_idstringUnique identifier for the supplieruniqueSUP-0001
supplier_namestringRegistered name of the supplierGreenLeaf Forestry Inc.
industry_sectorstringIndustry sector in which the supplier operatesForestry
countrystringCountry where the supplier is headquarteredCanada
address_streetstringStreet address of the supplier's headquartersoptional742 Maple Lane
address_citystringCity of the supplier's headquartersoptionalVancouver
address_statestringState or province of the supplier's headquartersoptionalBC
address_postal_codestringPostal code of the supplier's headquartersoptionalV5K4C3
contact_emailstringPrimary contact email for the supplieroptionalinfo@solarwave-energy.de
overall_sustainability_risk_levelstringCategorical risk level based on combined sustainability scoresLow · Moderate · High · CriticalLow
risk_commentsstringAdditional comments or notes regarding supplier risk assessmentoptionalSupplier demonstrates str…
esg_certificationsstringComma-separated list of ESG-related certifications held by the supplieroptionalISO14001,LEED
Numbers 3 columns
compliance_scorefloatSupplier's compliance score (0-100), based on regulatory and ESG standards0 to 10081.7
emissions_scorefloatSupplier's emissions score (0-100), based on greenhouse gas output and reporting0 to 10088.3
labor_practices_scorefloatSupplier's labor practices score (0-100), based on fair labor, safety, and diversity criteria0 to 10086.9
Dates and times 2 columns
risk_assessment_datedateDate of the latest sustainability risk assessment2024-05-20
last_audit_datedateDate of the supplier's most recent sustainability auditoptional2024-05-02
True or false 2 columns
audit_passedbooleanIndicates if the supplier passed the most recent sustainability auditoptionaltrue
activebooleanIndicates if the supplier is currently active in the supply chaintrue

Use it for

  • audit passed78%80 of 103 rowsmean labor practices …87.9Low68.3Mode…52.6High20.8Crit…

    A logistics dashboard

    The audit_passed rate, labor_practices_score by overall_sustainability_risk_level and a breakdown of esg_certifications. Excel, Power BI or Tableau.

  • Why do the 15 Critical rows have a mean labor_practices_score of 20.8?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable suppliers with supplier_name, industry_sector and country to fill a screen in front of a buyer.

Not quite right?

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This dataset120 rows19 columns
Yours1,000 rows19 columnscountry: UK only

blueprint · supplier-sustainability-risk-dashboard

Behind this dataset

Same schema. As many rows as you need.

These 120 rows came out of a blueprint — 19 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 supplier is assigned a unique ID and associated region.
  • Risk scores are calculated based on compliance incidents, emissions reports, and labor practice audits.
  • Suppliers with unresolved compliance issues are flagged for immediate review.
  • Annual emissions must be reported for suppliers operating in regulated regions.
  • Labor practice audit results affect overall risk rating.
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
supplier-sustainability-risk-dashboard

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