TOP 100 Countries by Road Quality Index (2025)
A 2025 snapshot using the latest globally comparable QRI survey results (2019) from the World Economic Forum’s Executive Opinion Survey. The QRI score reflects how business leaders rate road networks in the country where they operate, on a 1 (underdeveloped) to 7 (extensive and efficient) scale.
What the Road Quality Index measures and why it matters
Interpret it as a comparable signal for road network performance as experienced by firms
Road quality is not just a “comfort” metric. It is an operating cost variable. Better roads reduce travel time variance, lower vehicle wear, improve delivery reliability, and widen the effective labor market by making commuting faster and more predictable. For exporters and domestic supply chains, road quality influences inventory strategy, distribution center location, and how much buffer a business must hold against late deliveries.
The Road Quality Index (QRI) used here is the World Economic Forum (WEF) “Quality of road infrastructure” indicator. It is perception-based, built from a standardized question asked to business executives in the Executive Opinion Survey. The key advantage is comparability: the same question, same scale, and a long time series (2006–2019) allow meaningful cross-country ranking. The key limitation is also clear: it captures experienced quality as seen by firms, not a direct engineering audit of pavement condition, lane-km, or bridge ratings.
In practice, a country can score well because it maintains a high-performing strategic network (freight corridors, urban motorways, and connectors to ports/airports), even if some secondary or rural roads are weaker. Conversely, a country can invest heavily in new construction yet still score modestly if maintenance funding is unstable, governance is fragmented, or congestion and work-zone disruption dominate how users perceive “quality.” That is why QRI is best read as a “user-experience plus system performance” signal rather than a pure capital-spending scoreboard.
Why label this as a 2025 ranking if the underlying comparable year is 2019? Because the global survey-based series ends in 2019 for many countries in a consistent form, while newer infrastructure datasets often change definitions or focus on different concepts (access, travel times, or logistics outcomes). A “2025 snapshot” framing is useful for readers who need a stable, comparable baseline for cross-country analysis and decision-making, while keeping the underlying reference year explicit and transparent.
Top 10 leaders in road quality
Scores shown are QRI points; higher is better
Singapore combines dense urban design, strong asset management, and predictable maintenance cycles. The result is not only high surface quality, but also consistently legible road operations: markings, signage, incident response, and work-zone management reinforce the “efficient by international standards” perception.
The Netherlands’ performance reflects long-run emphasis on maintenance quality, network resilience, and smooth intermodal links. When firms judge “road quality,” they are often reacting to reliability and clarity of the network as much as to pavement condition.
Switzerland scores highly despite demanding topography, which is a reminder that “quality” is as much about lifecycle planning and consistent standards as it is about geography. Predictable winter operations and well-managed alpine corridors support strong user confidence.
In dense cities, road quality is judged through flow, clarity, and minimization of disruption. Hong Kong’s network management, tunnels, and connectors keep freight and commuter movements reliable relative to many large metros.
Japan’s high score aligns with rigorous standards, strong maintenance culture, and robust disaster resilience practices. For business logistics, fewer “bad surprise” delays matter as much as smooth pavement.
Austria’s position reflects strong corridor performance and the ability to keep cross-border routes predictable. In the QRI lens, consistent standards across regions reduce “weak links” that otherwise dominate user perception.
Portugal demonstrates how targeted modernization of primary networks, paired with disciplined maintenance, can move perceptions. For firms, quality is experienced through travel time reliability and corridor consistency.
The UAE’s score highlights the role of sustained infrastructure programs and high-capacity urban networks. In fast-growing environments, active management of work zones, signage, and incident response can be decisive for perceived quality.
South Korea’s ranking reflects strong national connectivity and high-performing arterial routes supporting industrial supply chains. For executives, the combination of network density and operational reliability tends to be visible in day-to-day logistics.
Oman rounds out the top 10 with a score that signals strong corridor performance and a “modern network” perception. In resource and trade-connected economies, high-quality primary routes can disproportionately shape business experience of infrastructure.
Top 10 table
Road Quality Index (QRI), points (1 to 7)
| Rank | Country | QRI score | Region |
|---|---|---|---|
| 1 | Singapore | 6.5 | Asia |
| 2 | Netherlands | 6.4 | Europe |
| 3 | Switzerland | 6.3 | Europe |
| 4 | Hong Kong SAR | 6.1 | Asia |
| 5 | Japan | 6.1 | Asia |
| 6 | Austria | 6.0 | Europe |
| 7 | Portugal | 6.0 | Europe |
| 8 | United Arab Emirates | 6.0 | MENA |
| 9 | South Korea | 5.9 | Asia |
| 10 | Oman | 5.7 | MENA |
Tip for interpretation: a one-point difference on a 1–7 scale is large. The spread from 6.5 (rank 1) to 5.7 (rank 10) is 0.8 points, while the gap between the global average (4.07) and the top performers is more than two points.
Chart: top 20 by Road Quality Index
Higher score means better perceived road infrastructure quality
The top 20 contains a clear cluster of high-capacity, high-maintenance networks. It also illustrates a pattern that shows up across many infrastructure indicators: strong performers tend to have stable funding for lifecycle maintenance, consistent national standards, and governance that reduces project delays and “unfinished” work zones.
Methodology
What “2025” means in this ranking, and how scores are built
Indicator and scale. The Road Quality Index (QRI) in this article refers to the World Economic Forum’s “Quality of road infrastructure” measure from the Global Competitiveness framework. Executives participating in the WEF Executive Opinion Survey rate road infrastructure in the country where they operate on a seven-point scale: 1 indicates an underdeveloped road network, and 7 indicates an extensive and efficient network by international standards. Individual responses are aggregated into a country score that can be compared across economies in the same survey year.
Reference year used for the 2025 snapshot. The most widely used, globally comparable cross-country “quality of roads” series ends in 2019 for many economies in a consistent form. Rather than mixing different definitions from newer datasets, this ranking keeps one stable yardstick and labels it as a 2025 snapshot while explicitly stating the underlying comparable year (2019). This approach is common in global ranking work when the newest year is not yet available for all economies under a consistent methodology.
Data handling. Scores are reported in points as published, rounded to one decimal place. The “gap vs global average” uses the global mean of 4.07 points for 2019. This gap is included to help readers interpret magnitude: a country at 5.3 is +1.23 points above the global average, while a country at 3.5 is −0.57 points below it.
What QRI is good for. QRI is particularly useful when you need a cross-country comparator for business experience: the measure is aligned with what firms notice day-to-day—reliability, corridor consistency, and operational quality. For strategic decisions (site selection, distribution design, market entry), a stable comparator can be more valuable than a narrowly technical metric that lacks global coverage.
Limitations and how to use it responsibly. QRI is survey-based and can be influenced by the sector mix of respondents, congestion experience in major cities, and the visibility of flagship corridors. It does not replace engineering measures such as pavement roughness, bridge structural condition, or rural accessibility. For a full infrastructure view, combine QRI with outcome-based measures such as travel-time reliability, logistics performance, road safety indicators, and maintenance backlogs.
Key insights
Patterns that explain why leaders stay at the top
1) Maintenance beats ribbon-cutting. The top of the ranking is dominated by places where maintenance is treated as a core service, not an afterthought. A new highway can boost capacity, but if resurfacing cycles slip and small defects compound, the user experience deteriorates quickly. High performers tend to run disciplined lifecycle programs: preventative maintenance, fast repairs, and predictable rehabilitation schedules.
2) Reliability is the hidden dimension of “quality.” Businesses care about mean travel time, but they often care even more about variance. When delivery windows are uncertain, companies pay twice: they add buffer time and hold higher inventory. Countries that manage incidents well, enforce work-zone discipline, and keep corridor standards consistent can create a “quality” perception that is bigger than asphalt smoothness alone.
3) Smaller, dense economies can concentrate quality. Several top scorers are compact, highly urbanized, and trade-connected. When networks are shorter, governments can standardize operations and fund high-quality corridors more easily. That does not mean large countries cannot score high; it means scale introduces more coordination and maintenance complexity, and the weakest links become more visible to users.
4) The distribution shows a steep drop after the top tier. In the 2019 global series, the average sits at 4.07 points, while the leaders reach 6.5. That is a substantial distance on a 1–7 scale. For readers, this gap is a reminder that “good roads” is not a universal baseline; in many markets, road quality materially changes logistics costs, commute patterns, vehicle durability, and even the feasibility of certain business models.
What this means for readers
How to turn a ranking into practical decisions
If you are comparing countries for work, relocation, travel, or investment research, road quality affects everyday life in surprisingly direct ways. A higher QRI is often associated with lower commute uncertainty, fewer vehicle repairs from rough surfaces, and better connectivity between residential areas, job centers, ports, and airports. For entrepreneurs, it can shape the cost structure of delivery-heavy businesses: e-commerce, field services, fresh food distribution, and regional manufacturing supply chains.
For firms entering a new market, treat QRI as an early-stage filter. A low score does not automatically rule out opportunity, but it signals that you should stress-test assumptions: buffer inventory, plan for longer lead times, audit last-mile constraints, and consider where to place warehouses relative to customers. When QRI is high, the upside is not only faster transport—it is tighter planning, better schedule predictability, and lower “hidden logistics tax.”
Finally, remember that “road quality” is not identical to “road safety.” Some high-capacity networks can still have safety challenges, and some countries improve safety through enforcement even with modest infrastructure. Use QRI alongside road safety indicators when your decision depends on risk, insurance costs, or duty-of-care requirements.
FAQ
Short answers to common questions about the Road Quality Index
Why is this called a 2025 ranking if the underlying year is 2019?
Because the goal is cross-country comparability under a single methodology. The survey-based QRI series is widely used and consistent through 2019 for many economies. A 2025 snapshot framing keeps the ranking useful for today’s readers while making the reference year explicit and avoiding mixed-definition datasets.
What does a QRI score of 6.0 actually mean?
It means surveyed business leaders rate the road network as very strong on the 1–7 scale. In practice, such countries usually combine good surface condition with reliable corridor performance, strong signage and operations, and fewer disruptive “weak links” that dominate user experience.
Why does Singapore rank first?
Singapore’s score reflects a dense, well-managed network and predictable maintenance. In compact, high-capacity systems, users experience fewer gaps in standards across regions, and operational quality (incident response, markings, work zones) tends to be consistently high.
Is this an objective engineering assessment of roads?
Not directly. QRI is survey-based, so it reflects perceived quality and performance. That is still valuable because business perception is shaped by reliability and operational reality, but it is different from metrics like pavement roughness, bridge condition, or rural access rates.
Do high-QRI countries always have low congestion?
Not necessarily. Congestion depends on demand, land use, transit alternatives, pricing, and peak-hour patterns. A country can score high if its roads are well maintained and well managed, even if some metropolitan areas face heavy traffic at peak times.
How should businesses use this ranking?
Use it as a screening signal for logistics risk. Lower scores suggest you should budget for more buffer time, inventory, and last-mile constraints. Higher scores support tighter schedules and more predictable distribution planning, especially for time-sensitive supply chains.
What is the fastest way for countries to improve road quality scores?
The fastest visible improvements often come from maintenance discipline: fixing potholes and drainage, resurfacing key corridors, improving markings and signage, and raising work-zone standards. Over the long run, stable maintenance funding and asset management systems tend to matter more than one-off construction bursts.
Full ranking table (top 100)
View toggle switches between Score (QRI points, 1–7) and Gap (score minus global average 4.07 for 2019). This helps interpret magnitude without adding extra columns.
| Rank | Country | QRI | Region |
|---|---|---|---|
| 1 | Singapore | 6.5+2.43 | Asia |
| 2 | Netherlands | 6.4+2.33 | Europe |
| 3 | Switzerland | 6.3+2.23 | Europe |
| 4 | Hong Kong SAR | 6.1+2.03 | Asia |
| 5 | Japan | 6.1+2.03 | Asia |
| 6 | Austria | 6.0+1.93 | Europe |
| 7 | Portugal | 6.0+1.93 | Europe |
| 8 | United Arab Emirates | 6.0+1.93 | MENA |
| 9 | South Korea | 5.9+1.83 | Asia |
| 10 | Oman | 5.7+1.63 | MENA |
| 11 | Spain | 5.7+1.63 | Europe |
| 12 | Croatia | 5.6+1.53 | Europe |
| 13 | Denmark | 5.6+1.53 | Europe |
| 14 | Taiwan | 5.6+1.53 | Asia |
| 15 | Luxembourg | 5.5+1.43 | Europe |
| 16 | Qatar | 5.5+1.43 | MENA |
| 17 | United States | 5.5+1.43 | Americas |
| 18 | France | 5.4+1.33 | Europe |
| 19 | Finland | 5.3+1.23 | Europe |
| 20 | Germany | 5.3+1.23 | Europe |
| 21 | Malaysia | 5.3+1.23 | Asia |
| 22 | Namibia | 5.3+1.23 | Africa |
| 23 | Sweden | 5.3+1.23 | Europe |
| 24 | Azerbaijan | 5.2+1.13 | Asia |
| 25 | Bahrain | 5.2+1.13 | MENA |
| 26 | Chile | 5.2+1.13 | Americas |
| 27 | Saudi Arabia | 5.2+1.13 | MENA |
| 28 | Cyprus | 5.1+1.03 | Europe |
| 29 | Egypt | 5.1+1.03 | MENA |
| 30 | Brunei | 5.0+0.93 | Asia |
| 31 | Canada | 5.0+0.93 | Americas |
| 32 | Turkey | 5.0+0.93 | Asia |
| 33 | Australia | 4.9+0.83 | Oceania |
| 34 | Ecuador | 4.9+0.83 | Americas |
| 35 | Israel | 4.9+0.83 | MENA |
| 36 | Slovenia | 4.9+0.83 | Europe |
| 37 | United Kingdom | 4.9+0.83 | Europe |
| 38 | Lithuania | 4.8+0.73 | Europe |
| 39 | Rwanda | 4.8+0.73 | Africa |
| 40 | Dominican Republic | 4.7+0.63 | Americas |
| 41 | Estonia | 4.7+0.63 | Europe |
| 42 | Mauritius | 4.7+0.63 | Africa |
| 43 | Morocco | 4.7+0.63 | MENA |
| 44 | China | 4.6+0.53 | Asia |
| 45 | Greece | 4.6+0.53 | Europe |
| 46 | India | 4.5+0.43 | Asia |
| 47 | Mexico | 4.5+0.43 | Americas |
| 48 | New Zealand | 4.5+0.43 | Oceania |
| 49 | Norway | 4.5+0.43 | Europe |
| 50 | Panama | 4.5+0.43 | Americas |
| 51 | South Africa | 4.5+0.43 | Africa |
| 52 | Tajikistan | 4.5+0.43 | Asia |
| 53 | Belgium | 4.4+0.33 | Europe |
| 54 | Ireland | 4.4+0.33 | Europe |
| 55 | Italy | 4.4+0.33 | Europe |
| 56 | Thailand | 4.4+0.33 | Asia |
| 57 | Poland | 4.3+0.23 | Europe |
| 58 | El Salvador | 4.2+0.13 | Americas |
| 59 | Indonesia | 4.2+0.13 | Asia |
| 60 | Jordan | 4.2+0.13 | MENA |
| 61 | Nicaragua | 4.2+0.13 | Americas |
| 62 | Honduras | 4.1+0.03 | Americas |
| 63 | Iceland | 4.1+0.03 | Europe |
| 64 | Kenya | 4.1+0.03 | Africa |
| 65 | Senegal | 4.1+0.03 | Africa |
| 66 | Tanzania | 4.1+0.03 | Africa |
| 67 | Algeria | 4.0−0.07 | MENA |
| 68 | Cape Verde | 4.0−0.07 | Africa |
| 69 | Hungary | 4.0−0.07 | Europe |
| 70 | Pakistan | 4.0−0.07 | Asia |
| 71 | Seychelles | 4.0−0.07 | Africa |
| 72 | Slovakia | 4.0−0.07 | Europe |
| 73 | Eswatini | 4.0−0.07 | Africa |
| 74 | Albania | 3.9−0.17 | Europe |
| 75 | Burundi | 3.9−0.17 | Africa |
| 76 | Czechia | 3.9−0.17 | Europe |
| 77 | Iran | 3.9−0.17 | MENA |
| 78 | Jamaica | 3.9−0.17 | Americas |
| 79 | Montenegro | 3.9−0.17 | Europe |
| 80 | Sri Lanka | 3.9−0.17 | Asia |
| 81 | Botswana | 3.8−0.27 | Africa |
| 82 | Georgia | 3.8−0.27 | Asia |
| 83 | Gambia | 3.7−0.37 | Africa |
| 84 | Guinea | 3.7−0.37 | Africa |
| 85 | Kuwait | 3.7−0.37 | MENA |
| 86 | Laos | 3.7−0.37 | Asia |
| 87 | Philippines | 3.7−0.37 | Asia |
| 88 | Trinidad and Tobago | 3.7−0.37 | Americas |
| 89 | Uganda | 3.7−0.37 | Africa |
| 90 | Uruguay | 3.7−0.37 | Americas |
| 91 | Argentina | 3.6−0.47 | Americas |
| 92 | Armenia | 3.6−0.47 | Asia |
| 93 | Cambodia | 3.6−0.47 | Asia |
| 94 | Côte d’Ivoire | 3.6−0.47 | Africa |
| 95 | Kazakhstan | 3.6−0.47 | Asia |
| 96 | Latvia | 3.6−0.47 | Europe |
| 97 | Tunisia | 3.6−0.47 | MENA |
| 98 | Bolivia | 3.5−0.57 | Americas |
| 99 | Russia | 3.5−0.57 | Europe |
| 100 | Serbia | 3.5−0.57 | Europe |
Source concept: WEF “Quality of road infrastructure” (Executive Opinion Survey), displayed as a 2025 snapshot with the latest comparable year (2019). Global average referenced for the gap view is 4.07 points.
Scatter: score by rank (top 100)
Each dot is one country. The curve shows how quickly the score drops after the very top tier.
Summary will appear here when scripts run.
How to interpret the Road Quality Index
Use QRI as a stable comparator, then validate with outcomes
The most useful way to read QRI is as a “system performance” signal: what firms actually experience on the network. That experience bundles multiple elements—surface condition, reliability, clarity of operations, and the presence or absence of chronic weak links.
QRI is strongest when you need a cross-country baseline. It tells you where the road network is likely to be a tailwind (lower logistics friction) or a headwind (higher variability and costs). But because it is survey-based, it should not be treated as a single definitive measure of physical condition. In applied work, combine it with at least one outcome metric: travel time reliability on major corridors, logistics performance, or an accessibility measure for rural and peri-urban areas.
Another important nuance is that a country can have a high-quality “business corridor” network and still have uneven secondary roads. QRI captures what business leaders see most often: primary routes, interchanges, and the performance of the network that supports commerce. If your use case is humanitarian logistics, rural service delivery, or agricultural transport, you should look for additional evidence beyond QRI.
Finally, do not automatically equate QRI with safety. Safety depends on enforcement, vehicle standards, speed management, road user behavior, and design. Road quality can help safety, but it can also enable higher speeds if speed management and design are not aligned. When decisions involve duty of care, pair road quality assessment with road safety data and local operational risk controls.
Policy takeaways
What top performers tend to do differently
-
1) Protect maintenance funding like a core service
Roads degrade nonlinearly: once surfaces cross a condition threshold, rehabilitation costs rise sharply. High performers typically keep maintenance budgets steady, prioritize preventative work, and avoid long deferrals that turn minor fixes into major rebuilds.
-
2) Run road assets as a lifecycle portfolio
The difference between “good roads” and “expensive roads” is often portfolio discipline: asset inventories, condition monitoring, and transparent project selection. When priorities are clear and data-driven, users experience fewer persistent weak links and fewer disruptive projects that never seem to finish.
-
3) Treat work zones and incident response as quality features
Survey respondents react strongly to day-to-day friction: confusing detours, poor markings, and slow incident clearance. Top-tier systems invest in operations: clear signage, rapid response, and consistent standards that reduce uncertainty for commuters and freight.
-
4) Build resilience into the network, not just capacity
Climate stress and extreme weather amplify maintenance needs. Drainage, slope stabilization, and targeted hardening of critical corridors can prevent frequent closures that quickly erode “quality” perception among users.
-
5) Upgrade information, not only infrastructure
Information quality influences perceived quality: real-time incident alerts, predictable travel times, and reliable navigation data reduce friction. Even without massive new construction, better information and operational management can improve user experience.
A useful practical rule: if a country wants to move up meaningfully in perceived road quality, the “fast wins” are usually maintenance, markings, and work-zone discipline. The “durable wins” are stable lifecycle funding and governance that makes delivery predictable year after year.
Sources and references
Primary documentation and complementary research
-
World Economic Forum — Global Competitiveness Report 2019 downloads page (includes full report PDF).
https://www.weforum.org/publications/how-to-end-a-decade-of-lost-productivity-growth/in-full/downloads/ -
World Economic Forum — Appendix A (indicator methodology; includes “Quality of road infrastructure” documentation).
https://www3.weforum.org/docs/WEF_GCR_2019_Appendix_A.pdf -
TheGlobalEconomy — “Roads quality” country rankings page (QRI values and global average for 2019).
https://www.theglobaleconomy.com/rankings/roads_quality/ -
UNCTAD SFT Framework — KPI note linking the QRI survey indicator and related data hubs.
https://sft-framework.unctad.org/key-performance-indicator/road-quality-road-infrastructure-survey-ranking -
IMF Working Paper — “Road Quality and Mean Speed Score” (an outcome-based approach using travel speeds between cities as a road quality proxy).
https://www.imf.org/-/media/files/publications/wp/2022/english/wpiea2022095-print-pdf.pdf
Practical note on comparability: QRI is a stable cross-country baseline when you need a consistent definition. For operational decisions, pair it with at least one outcome metric (travel speed, reliability, logistics performance, or safety indicators) to validate local conditions.
Road Quality Index (QRI) — Tables & Chart Images (2025 snapshot)
One ZIP file with publication-ready assets: CSV/Excel tables and PNG chart images used in this article.
What’s inside
Top 10 / Top 20 / Top 100 tables (CSV) + combined Excel workbook, plus PNG charts (bar chart for Top 20 and scatter for Top 100).
How to use
Use the tables for your own analysis and the images for reports, decks, or embeds. Values follow the same units and rounding as in the page.
Tip: If your browser blocks direct downloads, open the link and save the file locally.