General1 regions available
annealed wire rod (structural steel profile)
Compare carbon footprint data for annealed wire rod (structural steel profile) across multiple sourcing regions to identify lower-emissions alternatives.
Last updated 2026-03-10
Lowest footprint
2946.556
kg CO2e / kg
Austria
Highest footprint
2946.556
kg CO2e / kg
Austria
Emissions factors by sourcing region
Identify the lowest-carbon sourcing options for your Scope 3 Category 1 reporting.
| Region | kg CO2e | Unit | Cost | Year | Components | Details |
|---|---|---|---|---|---|---|
| Austria | 2946.556 | kg CO2e / kg | AI cost calculator | 2021 | View details → |
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Frequently asked questions
- What is the emissions factor for annealed wire rod (structural steel profile)?
- The emissions factor for annealed wire rod (structural steel profile) ranges by sourcing region. Publicly visible values are 2946.556 to 2946.556 kg CO2e / kg, while some sources are locked in this public view.
- Which country has the lowest carbon footprint for annealed wire rod (structural steel profile)?
- Based on available data, the lowest emissions option is 2946.556 kg CO2e / kg in Austria.
- How do I reduce Scope 3 Category 1 emissions from annealed wire rod (structural steel profile)?
- Switching to lower-emissions sourcing regions is one of the most effective ways to reduce Scope 3 Category 1 emissions from annealed wire rod (structural steel profile). Use the comparison table on this page to identify lower-carbon options.
- What lifecycle stages are included in the annealed wire rod (structural steel profile) emissions factor?
- The emissions factor includes land use change (LUC), land management (LMGT), and energy inputs (ENI) where data is available, covering the full farm-gate carbon footprint.
- Can I use these annealed wire rod (structural steel profile) emissions factors for supplier-level reporting?
- Yes. These emissions factors can serve as activity-based estimates for Scope 3 Category 1 (purchased goods and services) reporting under GHG Protocol. For higher accuracy, supplier-specific primary data is recommended.
