Top 100 Countries by DC Fast-Charger Share (% of Public Chargers), 2025
Overview
This ranking compares countries by the share of DC fast chargers within the public charging mix. The metric looks at composition, not the absolute size of the network.
A higher DC share can reduce “time-to-continue” for longer trips and for vehicles that need quick turnaround (taxis, delivery fleets, intercity corridors). But a very high DC share is not automatically superior: it can raise capital and grid-connection costs, increase maintenance burden, and leave gaps for long-dwell charging at homes, workplaces, and public parking.
The 2025 edition reflects the latest data update; the most recent complete year in the underlying dataset is 2024.
Key takeaways
- DC share describes how a public network is balanced between rapid charging and longer-dwell charging.
- Countries can show high DC share with low network density, often reflecting a corridor-first strategy.
- Dense networks in mature markets may have lower DC share because AC points scale faster in parking locations.
- Comparisons are sensitive to how “fast” is defined (for example, 50 kW vs 150 kW thresholds).
- Registry coverage and operator reporting practices can shift measured shares without a real-world change in user experience.
Metric cards
Table 1 — Top 20 countries by DC fast-charger share
| Rank | Country | DC share |
|---|---|---|
| 1 | New Zealand | 76.4% |
| 2 | Indonesia | 71.0% |
| 3 | Viet Nam | 65.6% |
| 4 | Thailand | 64.9% |
| 5 | Malaysia | 64.7% |
| 6 | Australia | 58.2% |
| 7 | Russia | 53.8% |
| 8 | South Africa | 50.0% |
| 9 | Turkiye | 49.6% |
| 10 | China | 45.7% |
| 11 | India | 44.3% |
| 12 | USA | 44.2% |
| 13 | Canada | 20.2% |
| 14 | Chile | 20.0% |
| 15 | United Kingdom | 16.8% |
| 16 | Korea | 15.8% |
| 17 | Portugal | 15.7% |
| 18 | Italy | 15.1% |
| 19 | Spain | 14.8% |
| 20 | France | 12.5% |
Bar chart — Top 20 DC shares
Full ranking list and comparison views
Full ranking (1…38)
| Rank | Country | DC share |
|---|---|---|
| 1 | New Zealand | 76.4% |
| 2 | Indonesia | 71.0% |
| 3 | Viet Nam | 65.6% |
| 4 | Thailand | 64.9% |
| 5 | Malaysia | 64.7% |
| 6 | Australia | 58.2% |
| 7 | Russia | 53.8% |
| 8 | South Africa | 50.0% |
| 9 | Turkiye | 49.6% |
| 10 | China | 45.7% |
| 11 | India | 44.3% |
| 12 | USA | 44.2% |
| 13 | Austria | 23.1% |
| 14 | Canada | 20.2% |
| 15 | Chile | 20.0% |
| 16 | United Kingdom | 16.8% |
| 17 | Korea | 15.8% |
| 18 | Portugal | 15.7% |
| 19 | Italy | 15.1% |
| 20 | Spain | 14.8% |
| 21 | France | 12.5% |
| 22 | Germany | 12.0% |
| 23 | Greece | 11.8% |
| 24 | Sweden | 11.4% |
| 25 | Denmark | 11.1% |
| 26 | Norway | 10.8% |
| 27 | Finland | 9.8% |
| 28 | Switzerland | 9.3% |
| 29 | Iceland | 9.2% |
| 30 | Israel | 8.4% |
| 31 | Netherlands | 8.0% |
| 32 | Poland | 7.8% |
| 33 | Japan | 7.6% |
| 34 | Jordan | 7.5% |
| 35 | Colombia | 6.5% |
| 36 | Costa Rica | 5.6% |
| 37 | Brazil | 4.8% |
| 38 | Belgium | 3.5% |
Scatter — DC share vs public charger density
This view separates “composition” (DC share) from “coverage” (public chargers per 100,000 people).
Table 2 — DC share and public chargers per 100,000 people
| Rank | Country | DC share | Public chargers per 100k |
|---|---|---|---|
| 1 | New Zealand | 76.4% | 27.23 |
| 2 | Indonesia | 71.0% | 1.17 |
| 3 | Viet Nam | 65.6% | 6.22 |
| 4 | Thailand | 64.9% | 19.15 |
| 5 | Malaysia | 64.7% | 5.99 |
| 6 | Australia | 58.2% | 25.22 |
| 7 | Russia | 53.8% | 7.27 |
| 8 | South Africa | 50.0% | 0.61 |
| 9 | Turkiye | 49.6% | 13.72 |
| 10 | China | 45.7% | 248.41 |
| 11 | India | 44.3% | 0.43 |
| 12 | USA | 44.2% | 26.05 |
| 13 | Austria | 23.1% | 297.45 |
| 14 | Canada | 20.2% | 81.23 |
| 15 | Chile | 20.0% | 15.32 |
| 16 | United Kingdom | 16.8% | 103.22 |
| 17 | Korea | 15.8% | 805.78 |
| 18 | Portugal | 15.7% | 117.65 |
| 19 | Italy | 15.1% | 102.33 |
| 20 | Spain | 14.8% | 86.80 |
| 21 | France | 12.5% | 224.07 |
| 22 | Germany | 12.0% | 134.58 |
| 23 | Greece | 11.8% | 29.06 |
| 24 | Sweden | 11.4% | 421.96 |
| 25 | Denmark | 11.1% | 558.81 |
| 26 | Norway | 10.8% | 556.33 |
| 27 | Finland | 9.8% | 291.82 |
| 28 | Switzerland | 9.3% | 182.44 |
| 29 | Iceland | 9.2% | 786.53 |
| 30 | Israel | 8.4% | 63.68 |
| 31 | Netherlands | 8.0% | 1044.82 |
| 32 | Poland | 7.8% | 24.28 |
| 33 | Japan | 7.6% | 83.75 |
| 34 | Jordan | 7.5% | 1.43 |
| 35 | Colombia | 6.5% | 4.46 |
| 36 | Costa Rica | 5.6% | 14.14 |
| 37 | Brazil | 4.8% | 5.91 |
| 38 | Belgium | 3.5% | 629.08 |
Scatter — DC share vs EV share in new car sales
A high EV sales share can pressure networks in different ways than a corridor-first rollout; the relationship is not one-directional.
Table 3 — DC share and EV share in new car sales
| Rank | Country | DC share | EV share in new sales |
|---|---|---|---|
| 1 | New Zealand | 76.4% | 11.0% |
| 2 | Indonesia | 71.0% | 5.0% |
| 3 | Viet Nam | 65.6% | 3.0% |
| 4 | Thailand | 64.9% | 2.0% |
| 5 | Malaysia | 64.7% | 2.0% |
| 6 | Australia | 58.2% | 9.0% |
| 7 | Russia | 53.8% | 4.0% |
| 8 | South Africa | 50.0% | 1.0% |
| 9 | Turkiye | 49.6% | 12.0% |
| 10 | China | 45.7% | 48.0% |
| 11 | India | 44.3% | 2.0% |
| 12 | USA | 44.2% | 10.0% |
| 13 | Austria | 23.1% | 30.0% |
| 14 | Canada | 20.2% | 13.0% |
| 15 | Chile | 20.0% | 11.0% |
| 16 | United Kingdom | 16.8% | 24.0% |
| 17 | Korea | 15.8% | 10.0% |
| 18 | Portugal | 15.7% | 31.0% |
| 19 | Italy | 15.1% | 10.0% |
| 20 | Spain | 14.8% | 11.0% |
| 21 | France | 12.5% | 26.0% |
| 22 | Germany | 12.0% | 20.0% |
| 23 | Greece | 11.8% | 9.0% |
| 24 | Sweden | 11.4% | 58.0% |
| 25 | Denmark | 11.1% | 56.0% |
| 26 | Norway | 10.8% | 92.0% |
| 27 | Finland | 9.8% | 50.0% |
| 28 | Switzerland | 9.3% | 31.0% |
| 29 | Iceland | 9.2% | 41.0% |
| 30 | Israel | 8.4% | 24.0% |
| 31 | Netherlands | 8.0% | 36.0% |
| 32 | Poland | 7.8% | 6.0% |
| 33 | Japan | 7.6% | 2.0% |
| 34 | Jordan | 7.5% | — |
| 35 | Colombia | 6.5% | 5.0% |
| 36 | Costa Rica | 5.6% | 15.0% |
| 37 | Brazil | 4.8% | 2.0% |
| 38 | Belgium | 3.5% | 43.0% |
Correlation view (non-causal)
Countries with similar EV sales shares can choose very different public charging mixes depending on geography, housing patterns, grid connection timelines, pricing models, and how networks are financed. Likewise, a high DC share can reflect a corridor strategy even when overall density is still low. These comparisons should be read as structural signals, not as proof that one mix “causes” a better outcome.
Interpretation, limitations, and methodology
Why this metric matters
- Intercity usability: a meaningful DC layer helps make highway corridors practical by shortening stop durations and reducing queue sensitivity.
- Commercial operations: fleets that run on schedules (rideshare, delivery, light commercial) depend on predictable “turnaround” more than on long-dwell parking.
- Resilience under peaks: where demand spikes are seasonal or event-driven, faster sessions can increase throughput per parking bay — but only if grid capacity and uptime are managed.
- Planning signal: DC share is a clue about whether a country is prioritising corridors, urban curbside, destination parking, or a blended approach.
AC vs DC in plain English
AC points are typically designed for longer stops (work, shopping, overnight parking). DC points are built for shorter, higher-power sessions. A balanced public network usually needs both: AC for dwell-heavy locations and DC where time matters.
When DC matters most
- Highway corridors and cross-region travel
- Urban quick top-ups where parking time is limited
- Commercial fleets with short layovers
- Cold or adverse-weather contexts where charging time can become operationally critical
Common pitfalls and what can distort results
- Different “fast” thresholds: some registries classify fast at 22–50 kW, others at 50 kW, and “ultra-fast” may start at 150 kW.
- Registry completeness: fragmented operator reporting can undercount public points, especially smaller AC locations.
- Port vs station counting: a “charging point” can mean a connector/port or a physical station, depending on the reporting system.
- Availability vs installed: installed equipment may not be fully operational due to commissioning delays, maintenance, or grid upgrades.
- Urban form effects: apartment-heavy markets can lean on public AC, while detached-housing markets shift pressure away from public points.
Methodology
For each country, DC fast-charger share is calculated as publicly available fast charging points divided by the sum of publicly available fast and publicly available slow charging points, expressed as a percentage. Countries are ordered by this share in descending order.
Public chargers per 100,000 people is computed using the same public charging points total (fast + slow) divided by population and scaled per 100,000. EV share in new car sales uses EV sales share for cars (BEV+PHEV) for the same reference year where available.
Coverage is limited to countries where both public fast and public slow counts are available for the reference year.