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República Oriental del Uruguay

gub.uy 2.0
Mycelium Score 2.0 / 10 Below-average score F Transparency Very Low Minimal disclosure across key areas

Explore carbon emissions data for República Oriental del Uruguay. Mycelium helps you review reported emissions, disclosure status, Scope 1, Scope 2 and Scope 3 data, climate targets and sustainability information in one company profile.

This profile brings together available carbon emissions data for República Oriental del Uruguay, including reported figures, modelled estimates, disclosure documents and sustainability indicators, so you can review its emissions and compare its performance against similar companies. It is one entry in the Mycelium emissions database. Read how we source and check this data.

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Emissions

Carbon emissions

Structured data JSON-LD, OpenCCF Spreadsheet CSV
Open Corporate Carbon Footprint Data Model (OpenCCF) Schema and docs on GitHub By the Carbon Accounting Alliance with Murmurate Digital, Mycelium and Roundarc.

Total yearly emissions across all scopes

37,123,572 tCO2e (Mycelium adjusted)

Reported by República Oriental del Uruguay
36,873,000 tCO₂e
Estimated by Mycelium
250,572 tCO₂e

República Oriental del Uruguay reported 99% of the adjusted total. Mycelium estimated the remaining 1% for the categories it did not disclose.

Scope 1

tCO2e

165,580

Scope 2

tCO2e

84,992

Scope 3 total

tCO2e

36,873,000

Not yet checked against the source report

Scope 3 reported

  1. 1
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  3. 3
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  10. 10
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  15. 15

Something wrong? Contribute to this dataset

See the scope breakdown

Provenance

Review the sources and documents behind República Oriental del Uruguay's emissions data. Provenance matters because it shows where the information comes from, how recent it is and how complete the disclosure appears to be.

Emissions
Factors

Modelled emission factor Total, all scopes including all Scope 3
8.939 kgCO2e / £

Supplier specific emission factors (kgCO2e / £)

Modelled
Reported
Scope 1 + 2 Direct + purchased energy
0.060
–
Upstream + upstream Scope 3
5.577
–
Total + all Scope 3
8.939
8.878

Scope 2 in these factors uses the company's location based figure.

Which figure should I use?

Comparing companies? Use Total Modelled. It is the most complete like-for-like view: any categories the company has not disclosed are filled with industry-typical estimates, so a transparent company is not unfairly penalised against one that simply has not reported.

Estimating your own supply-chain emissions from spend with this company? Use Upstream Modelled. The GHG Protocol defines purchased-goods emissions as cradle-to-gate, which means this company's own operations plus its upstream supply chain. The Total figure also includes downstream emissions, such as the lifetime use of the products this company sells, which the GHG Protocol attributes to the users of those products rather than to customers buying goods and services.

Reported counts only emissions the company has filed itself. A blank or low Reported cell does not mean those emissions do not exist, just that the company has not disclosed them. When Reported sits close to Modelled, that is a positive signal: the company has disclosed most of its salient emissions.

Sustainability
Snapshot

Based on reported data, retrieved with AI

  • República Oriental del Uruguay reported 36,873,000 tCO₂e in 2023.
  • Scope 3 accounted for 99% of emissions.

According to available emissions disclosures, República Oriental del Uruguay reported total yearly emissions of 36,873,000 tCO₂e in 2023. Scope 3 emissions accounted for 99% of the footprint, indicating supply chain activity, purchased goods and services, business travel, and wider operational dependencies were the most significant contributors to the company's carbon footprint.

The company achieved a Mycelium Score of 2.0, placing it below average for its sector for sustainability performance, and received a transparency score of 9.9, pointing to very little public detail on their key emissions.

Scope
breakdown

Scope 1 emissions

Direct emissions from sources the company owns or controls, such as fuel use, facilities and vehicles.

ESTIMATED

Direct emissions

165,580

tCO2e

Scope 2 emissions

Indirect emissions from purchased energy, including electricity, heating and cooling.

ESTIMATED

Location based

84,992

tCO2e

Market based

–

tCO2e

Scope 3 emissions

Wider value chain emissions across the 15 GHG Protocol categories, from purchased goods and business travel to investments, where reported.

ESTIMATED

Cat 1

Purchased goods & services

15,832,078

tCO2e
ESTIMATED

Cat 2

Capital goods

1,943,880

tCO2e
ESTIMATED

Cat 3

Fuel & energy related activities

855,012

tCO2e
ESTIMATED

Cat 4

Upstream transportation & distribution

1,537,298

tCO2e
ESTIMATED

Cat 5

Waste generated in operations

217,035

tCO2e
ESTIMATED

Cat 6

Business travel

1,214,002

tCO2e
ESTIMATED

Cat 7

Employee commuting

1,131,947

tCO2e
ESTIMATED

Cat 8

Upstream leased assets

180,110

tCO2e
ESTIMATED

Cat 9

Downstream transportation & distribution

593,257

tCO2e
ESTIMATED

Cat 10

Processing of sold products

441,866

tCO2e
ESTIMATED

Cat 11

Use of sold products

7,496,944

tCO2e
ESTIMATED

Cat 12

End-of-life treatment of sold products

459,507

tCO2e
ESTIMATED

Cat 13

Downstream leased assets

550,588

tCO2e
ESTIMATED

Cat 14

Franchises

80,414

tCO2e
ESTIMATED

Cat 15

Investments

4,339,062

tCO2e

17 values were derived via Mycelium's normalisation process rather than reported by the company. A cell marked “ESTIMATED” is a figure the company did not disclose, modelled by Mycelium. Cells marked “–” were not disclosed and could not be modelled.

Structured data JSON-LD, OpenCCF Spreadsheet CSV
Open Corporate Carbon Footprint Data Model (OpenCCF) Schema and docs on GitHub By the Carbon Accounting Alliance with Murmurate Digital, Mycelium and Roundarc.

Verification

Independent third parties involved in checking or preparing República Oriental del Uruguay's emissions data.

Independent assurance

Independently assured (limited assurance) by United Nations Development Programme (UNDP) for 2023

Contact Info

Website

www.gub.uy

Address

Debt Management Unit (DMU)
Colonia 1089
3rd. Floor
Montevideo
11100

Country

Uruguay

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How scoring works

How the Mycelium Score is calculated

The Mycelium Score is out of 10. Up to 6.5 points reflect carbon intensity vs sector peers (emissions normalised against revenue), scaled by how transparent the reporting is. The band above 6.5 is earned through verified data quality on a claimed profile: declaring every reporting category yourself (up to 2.0), preparation by a carbon accountant (2.0) and independently audited figures (2.0), capped at 10.

A higher score means lower carbon intensity than sector peers, backed by data that's third-party verified, claimed by the company, and fully disclosed. República Oriental del Uruguay's score sits at the top of this page and in the score panel.

How the Transparency Score is calculated

The Transparency Score is the share of a company's estimated footprint that it reported itself, graded from A (very high) down to F (very low). Where a category is missing, Mycelium models what it would hold for a company of that size and industry and counts it as undisclosed, so an unreported category where the bulk of emissions sit hurts far more than a minor one. A Scope 3 total filed without a category breakdown earns very little credit for the part left unattributed, because it does not show which categories are inside it: a company can count business travel, leave purchased goods out entirely, and the total looks the same. Companies with nothing to model are graded on how much of their industry's typical footprint the reported categories cover.

For República Oriental del Uruguay, the single biggest gap is Scope 3 category breakdown (a total was filed without saying which categories it covers). Mycelium estimates it accounts for around 89% of the company's total footprint, typically the largest source of emissions for a International Bodies company, yet it hasn't been disclosed. Leaving a bucket this large unreported is what's holding the transparency score down.

In total, roughly 89% of República Oriental del Uruguay's estimated emissions sit in categories it hasn't reported. Disclosing these would be the fastest way to raise the transparency score.

Cover of Mycelium's scoring methodology white paper Read the full scoring methodology Our white paper covers exactly how the Mycelium Score and Transparency Score are calculated, including the normalisation process and what earns a 10/10. Download the white paper (PDF)

República Oriental del Uruguay carbon emissions FAQs

What are República Oriental del Uruguay's carbon emissions?

In its 2023 reporting year, República Oriental del Uruguay disclosed total emissions of 36,873,000 tCO2e across all scopes. Including Mycelium estimates for undisclosed categories, the adjusted total is 37,123,572 tCO2e. Scope 3 accounted for the largest share, around 99% of the total.

How transparent is República Oriental del Uruguay's emissions reporting?

República Oriental del Uruguay has a Mycelium transparency score of 9.9 out of 100. The score is the share of the company's estimated footprint that it reported itself, so an undisclosed category where most of its emissions sit weighs far more than a minor one.

Is República Oriental del Uruguay sustainable?

Mycelium measures sustainability through carbon emissions data rather than giving a yes or no verdict. República Oriental del Uruguay has a Mycelium Score of 2 out of 10, which reflects its emissions intensity against sector peers together with how transparent and well-verified its reporting is. The emissions figures, disclosure documents and climate targets on this page give the fuller picture.

Is República Oriental del Uruguay environmentally friendly?

Carbon emissions are one measurable part of environmental impact, and the part Mycelium tracks. República Oriental del Uruguay disclosed 36,873,000 tCO2e for 2023, and its Mycelium Score of 2 out of 10 shows how that performance compares with similar companies in its sector.

Learn more about our methodology and where this data comes from.