Gaming25 columns
E-Sports Event Carbon Footprint
This dataset provides detailed carbon footprint and sustainability metrics for e-sports events, including energy consumption, travel, waste, and offset data. It enables organizers and sponsors to benchmark environmental impact, report on ESG initiatives, and identify opportunities for more sustainable event management. The comprehensive structure supports analysis, reporting, and strategic decision-making for gaming startups and event professionals.
opened 1 timeslast updated 25 Nov 2025by GoMask
The brief that made it
Benchmarking and reporting carbon emissions for e-sports events
Blueprint
blueprint · 25 columns
| column | type | description |
|---|---|---|
| event_id | string | Unique identifier for each e-sports event |
| event_name | string | Official name of the e-sports event |
| event_start_date | date | Start date of the event |
| event_end_date | date | End date of the event |
| venue_name | string | Name of the event venue |
| venue_street_address | string | Street address of the event venue |
| venue_city | string | City where the event venue is located |
| venue_state | string | State or region of the event venue |
| venue_postal_code | string | Postal code of the event venue |
| venue_country | string | Country where the event venue is located |
| organizer_name | string | Name of the event organizer or organizing company |
| total_attendees | integer | Total number of attendees at the event |
| total_participants | integer | Total number of participants (players, staff, etc.) at the event |
| energy_consumption_kwh | float | Total energy consumed during the event (in kilowatt-hours) |
| energy_source | string | Primary energy source used (e.g., grid, renewable, generator) |
| carbon_emissions_total_kg | float | Total carbon emissions generated by the event (in kilograms CO2 equivalent) |
| carbon_emissions_energy_kg | float | Carbon emissions from energy consumption (in kilograms CO2 equivalent) |
| carbon_emissions_travel_kg | float | Carbon emissions from attendee and participant travel (in kilograms CO2 equivalent) |
| carbon_emissions_catering_kg | float | Carbon emissions from catering and food services (in kilograms CO2 equivalent) |
| carbon_emissions_waste_kg | float | Carbon emissions from waste management (in kilograms CO2 equivalent) |
| carbon_emissions_other_kg | float | Carbon emissions from other sources (in kilograms CO2 equivalent) |
| offsets_purchased_kg | float | Amount of carbon offsets purchased (in kilograms CO2 equivalent) |
| sustainability_initiatives | string | Description of sustainability initiatives implemented during the event |
| esg_reporting_status | string | Status of ESG (Environmental, Social, Governance) reporting for the event |
| sponsor_names | string | Comma-separated list of sponsor names for the event |
Sample rows
preview · 4 of 45 rows
| event_id | event_name | event_start_date | event_end_date | venue_name |
|---|---|---|---|---|
| EVT-202401 | Global Gaming Arena 2024 | 2024-03-12 | 2024-03-15 | Arena Berlin |
| EVT-202402 | Asia Battle Royale | 2024-05-21 | 2024-05-24 | Tokyo Dome |
| EVT-202403 | North America Esports Open | 2023-12-10 | 2023-12-13 | Staples Center |
| EVT-202404 | EU Masters League | 2023-09-08 | 2023-09-10 | Accor Arena |
Behind this dataset
blueprint · e-sports-event-carbon-footprint
Same schema. As many rows as you need.
These 45 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.
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