Statmile is a B2B market intelligence platform for the electric vehicle industry.
We aggregate public data from authoritative sources, normalise it across 64 markets
and 16 years, and make it instantly accessible through interactive charts, AI analysis,
and professional reports.
64
markets tracked
2010–2025
16 years of EV market data
23
variables across adoption, infrastructure & emissions
What we do
Data is public. Insight is not.
The underlying data on EV adoption, CO₂ emissions, and population is freely available from organisations
like the IEA, the World Bank, and Our World in Data. But it arrives in dozens of CSV files with inconsistent country names,
missing years, and no cross-variable context.
Statmile does the hard part: collection, normalisation, and synthesis. Then adds the intelligence layer —
interactive visualisation, AI-generated analysis, and report generation — so your team can answer market
questions in minutes, not hours.
Aggregation
Multiple datasets normalised to a unified schema. One query, all markets.
Visualisation
3D globe, interactive chart explorer, country profiles, and comparative views.
AI Analysis
Our AI model reads the data and writes analytical summaries grounded in real numbers.
Reports
Professional PDF reports with charts, AI analysis, and source attribution — built in minutes.
Data sources
Built on authoritative public data.
All underlying market data is sourced from publicly licensed open datasets. Statmile provides proper
attribution on every chart and report. The value of the platform is the aggregation, normalisation,
and intelligence layer — not the raw data itself.
Global EV Data Explorer
International Energy Agency (IEA)
EV sales share · EV unit sales · EV stock · public chargers
CC BY 4.0
EV Adoption
International Energy Agency (IEA) / World Bank
EV sales per 1,000 people
CC BY 4.0
CO₂ and Greenhouse Gas Emissions
Global Carbon Project / Our World in Data
Transport CO₂ emissions · CO₂ per capita
CC BY 4.0
World Population
World Bank
Country population
CC BY 4.0
OpenChargeMap (OCM)
Open Charge Map / Community
Regional charging points — BE, IE, NL, NO, PT, ES, SE
CC BY-SA 4.0
Ladesäulenregister
Bundesnetzagentur (Germany)
Regional charging points — Germany
dl-de/by-2-0
IRVE — Infrastructure de Recharge
data.gouv.fr / MTECP
Regional charging points — France
Licence Ouverte 2.0
EV Charging Infrastructure
DLUHC / gov.uk
Regional charging points — United Kingdom
OGL v3.0
Alternative Fuels Data Center (AFDC)
U.S. Department of Energy
Charging stations — United States
Public domain
DNO DUoS tariffs
Open Net Zero / UK DNOs
UK grid distribution tariffs by licence area
Open data
Methodology
From raw CSV to market insight.
Raw data is downloaded from source providers and processed by a Python ETL pipeline that normalises
country names, aligns year ranges, and writes a unified SQLite database. Country names follow a consistent
internal convention mapped from IEA, World Bank, and OWID source strings.
Data is served via a FastAPI backend. The globe and map views use pre-exported JSON for fast load times;
all chart, insight, and AI views query the live database. Custom datasets imported by users go through
the same normalisation pipeline and are stored alongside default variables.
AI analysis is generated by a state-of-the-art language model with direct read-only access to the database via tool use —
every number cited is retrieved from actual data, not model memory. Users can also run free-form queries
against the dataset through the AI Analyst chat interface.
Get started
See the market clearly.
Statmile is available on annual B2B plans for individual analysts and enterprise teams.
Questions? We're happy to walk you through the platform.