Abstract

Formula One has expanded from a predominantly European racing series into a global championship with races held across an increasing number of countries. This study examines whether this geographic expansion has been accompanied by greater nationality diversity among successful drivers. Using Formula One World Championship data from 1950–2024, race, driver, constructor, and circuit datasets were joined in R to analyze podium finishes, driver nationalities, host countries, constructor relationships, and home-country performance. Descriptive statistics and visualizations were used to examine historical trends, while a chi-square test of independence evaluated the relationship between home-country status and podium outcomes.

The results show a clear difference between geographic expansion and competitive nationality diversity. The number of countries hosting Formula One races increased from 13 in the 1950s to 26 in the 2020s, while the number of distinct driver nationalities represented among podium finishers remained within a narrower range of approximately 11–16. British drivers had the largest number of podium finishes overall, although the nationalities contributing the most podiums changed across decades. The home-country analysis found podium rates of approximately 11.1% for home races and 12.8% for non-home races. The difference was not statistically significant, with χ²(1) = 2.42 and p = 0.120. Overall, the findings suggest that Formula One has become substantially more geographically global without experiencing a comparable increase in nationality diversity among its most successful drivers.

Brief Summary

This project examines how the globalization of Formula One relates to the nationality diversity of its most successful drivers. The primary research question is: How has nationality diversity among Formula One podium finishers evolved from 1950–2024, and how does this relate to the geographic expansion of the race calendar?

Five supporting questions guide the analysis: Which driver nationalities have accumulated the most podium finishes? How has the number of distinct podium nationalities changed by decade? How has the geographic reach of the Formula One calendar changed over time? Is a driver’s home-country status associated with a higher probability of achieving a podium finish? Which driver nationalities are most associated with successful Formula One constructors?

The analysis shows that geographic expansion and competitive nationality diversity have followed different patterns. The number of countries hosting races increased from 13 in the 1950s to 26 in the 2020s, while the number of distinct podium nationalities remained between approximately 11 and 16 across decades. British drivers accumulated the most podium finishes overall, although the leading nationalities changed over time. The home-country analysis found no statistically significant association between home-country status and podium performance. Together, these findings suggest that Formula One has become more geographically global without a proportional increase in nationality diversity among podium finishers.

Introduction

Formula One is an international motorsport championship that has competed across multiple continents since its establishment in 1950. Over the history of the championship, the geographic distribution of races has expanded beyond its traditional European base to include an increasing number of countries and regions. At the same time, drivers from many different nationalities have competed for Formula One teams. However, geographic expansion of the championship does not necessarily mean that competitive success has become equally diverse.

This distinction motivates the primary research question of this project: How has nationality diversity among Formula One podium finishers evolved from 1950–2024, and how does this relate to the geographic expansion of the race calendar? Focusing on podium finishers provides a way to examine nationality diversity specifically among drivers achieving the highest level of race success. This is different from simply measuring how many nationalities have participated in Formula One, because participation does not necessarily translate into competitive success.

This project examines five related questions. First, which driver nationalities have accumulated the most podium finishes? Second, has the number of distinct nationalities represented on the podium increased, decreased, or remained relatively stable across decades? Third, how has the geographic reach of the race calendar changed over the same period? Fourth, is competing in a driver’s home country associated with a higher probability of achieving a podium finish? Finally, are particular driver nationalities strongly associated with successful constructors?

These questions allow globalization to be examined from multiple perspectives. The number of countries hosting races provides a measure of geographic expansion, while the number and distribution of driver nationalities among podium finishers provides a measure of competitive diversity. Comparing these measures can determine whether the international expansion of the race calendar has been accompanied by greater diversity among the drivers achieving the highest levels of success.

The analysis is particularly relevant because a sport can become increasingly international in where it operates without becoming equally diverse among its most successful competitors. Therefore, examining both geographic expansion and competitive representation provides a more complete view of how Formula One has changed over time.

Data

The data for this project come from the Formula One World Championship dataset covering 1950–2024, obtained from Kaggle and compiled from the Ergast Motor Racing Data API. The dataset consists of five files: races.csv, results.csv, drivers.csv, constructors.csv, and circuits.csv. These files provide information about race results, drivers, constructors, race dates and years, circuits, and race locations.

The results.csv file provides driver race results and finishing positions. The drivers.csv file provides driver names and nationalities. The races.csv file provides race years and circuit identifiers, while circuits.csv provides circuit locations and host countries. Finally, constructors.csv provides constructor names and constructor nationalities. These datasets were joined using raceId, driverId, circuitId, and constructorId to create a combined dataset for the analysis.

For the primary analysis, only first-, second-, and third-place results were retained because these positions represent podium finishes. Driver nationality was then connected to race location so that nationality diversity and home-country status could be examined. The resulting dataset was also grouped into decades to allow comparisons across the history of Formula One.

There are several limitations to these data. First, nationality does not necessarily represent a driver’s birthplace, upbringing, training location, or cultural identity. Second, counting host countries measures geographic reach but does not account for how frequently individual countries hosted races. Third, the number of races and the structure of Formula One seasons changed substantially over time, meaning that raw podium counts are not directly comparable without considering differences in the number of races. Finally, the home-country analysis depends on matching nationality and race-country labels, which required standardizing inconsistent country names across datasets.

Methods

Data Preparation

I identified podium finishes by filtering the positionOrder variable to less than or equal to three in order to analyze podium nationality and constructor success, creating the podiums dataset. For example, I used filter(positionOrder <= 3).

Next, I joined the different tables using driverId, raceId, circuitId, and constructorId, creating my f1_dataset.

Feature Engineering

I created the variable decade = floor(year / 10) * 10 to group races into decades so that I could complete a historical comparison across the whole dataset.

I also created driver = paste(forename, surname) in order to provide readable driver names for searching and presentation.

I standardized nationality labels into country names so that I could compare driver_country and race_country information more accurately. For example: British → UK American → USA Dutch → Netherlands German → Germany

I additionally standardized the race country variables in a similar way. Finally, I created a home-race indicator using home_country = driver_country == race_country This allowed me to identify whether a driver was competing in their home country. The home_country variable was then used together with the podium variable in the race_participation dataset for the home-race statistical analysis.

Descriptive Statistics

My project heavily relies on descriptive statistics to summarize historical trends in Formula One. I created nationality podium totals using count(driver_nationality) to determine which nationalities have accumulated the most podium finishes.

Nationality diversity was calculated using n_distinct(driver_nationality) which measures the number of unique nationalities represented among podium finishers by decade. Geographic diversity was calculated similarly using n_distinct(race_country) to measure the number of distinct countries hosting Formula One races during each decade.

Finally, podium rates were calculated using mean(podium) * 100 which computes the percentage of driver-race observations that resulted in a podium finish. These descriptive statistics were used throughout the visualizations and summary tables presented in the Results section.

Statistical Methods

A chi-square test of independence was used as the primary inferential statistical method. The test evaluates whether there is an association between home-race status and podium outcome. The variables used in the analysis were home_advantage, which indicates whether a driver was competing in their home country, and podium, which indicates whether the driver achieved a podium finish.

I first constructed a contingency table (home_table) and then performed the statistical test using chisq.test(home_table). The null hypothesis was that home-race status and podium outcome are independent, while the alternative hypothesis was that the two variables are associated. The analysis produced χ²(1) = 2.42 with a p-value of 0.120. Because the p-value was greater than the 0.05 significance level, the null hypothesis was not rejected. Therefore, there was insufficient evidence to conclude that home-race status and podium outcome are statistically associated, meaning that this analysis did not find statistically significant evidence of a home advantage in Formula One.

No regression, predictive, or machine-learning models were used. The primary objective of this project was to describe historical patterns in nationality diversity, geographic expansion, and competitive performance. Descriptive statistics and visualizations were supplemented by the chi-square test to provide an inferential assessment of the home-race question.

Results

The analyses examined five aspects of Formula One history: nationality diversity among podium finishers, the distribution of podium success across nationalities, geographic expansion of the race calendar, home-country performance, and the relationship between successful constructors and driver nationalities. Together, these results show that Formula One has become increasingly international in terms of race locations, while competitive success has remained concentrated among a smaller group of driver nationalities.

Figure 1 shows the number of distinct driver nationalities represented among Formula One podium finishers by decade.
Figure 1. Nationality Diversity of F1 Podium Finishers Over Time

Figure 1. Nationality Diversity of F1 Podium Finishers Over Time

Figure 1 shows the number of distinct driver nationalities represented among Formula One podium finishers by decade. Across the study period, nationality diversity varied between approximately 11 and 16 nationalities rather than following a consistent upward trend. Diversity reached higher levels during some decades, including the 1970s and 2010s, but declined in the most recent decade.

The important pattern is that nationality diversity did not continuously increase as Formula One became more geographically international. If geographic expansion alone produced greater competitive diversity, the number of podium nationalities would be expected to rise consistently alongside the number of host countries. Instead, the relatively narrow range of podium nationalities suggests that competitive success has remained concentrated even as the sport has expanded internationally.

Figure 2 displays the total number of Formula One podium finishes by driver nationality across the entire study period.
Figure 2. Total podium finishes by driver nationality.

Figure 2. Total podium finishes by driver nationality.

Figure 2 shows the total number of podium finishes accumulated by driver nationality across the entire study period. British drivers recorded the greatest number of podium finishes overall, followed by German and French drivers. At the opposite end of the distribution, several nationalities recorded relatively few podium finishes.

This uneven distribution demonstrates that the presence of multiple nationalities on the podium does not mean that podium success is evenly distributed among those nationalities. A relatively small group of nationalities accounts for a large share of successful finishes. Therefore, counting the number of distinct nationalities alone does not fully describe competitive diversity; the distribution of podium finishes across those nationalities is also important.

Figure 3 compares the five most successful driver nationalities across decades.
Figure 3. Top five driver nationalities by decade.

Figure 3. Top five driver nationalities by decade.

Figure 3 shows how the five most successful nationalities changed across decades. British drivers maintained high podium totals across much of Formula One history, demonstrating long-term competitive representation. German drivers experienced substantial growth beginning in the 1980s and reached particularly high podium totals during the 2000s and 2010s. French drivers were especially prominent during the 1980s, while Finnish drivers became more prominent beginning in the 1990s. Brazilian drivers also experienced periods of substantial success.

These changes demonstrate that competitive dominance is not fixed to a single nationality. Instead, the nationalities contributing the most podium finishes have shifted across periods of Formula One history. This suggests that changes in competitive success may reflect changes in generations of drivers and periods of constructor competitiveness rather than a simple long-term increase in diversity.

Figure 4 illustrates the number of countries hosting Formula One races during each decade.
Figure 4. Number of Formula One host countries by decade.

Figure 4. Number of Formula One host countries by decade.

Figure 4 shows the number of countries hosting Formula One races during each decade. The geographic reach of the championship increased substantially over time. The number of host countries increased from approximately 13 in the 1950s to approximately 26 in the 2020s. This result provides clear evidence of geographic globalization. Formula One has expanded its race calendar to include a wider range of countries than were represented during the early decades of the championship. However, geographic expansion alone does not indicate that drivers from those countries became equally successful in competition.

Figure 5 compares the growth of Formula One’s race calendar with the diversity of driver nationalities achieving podium finishes.
Figure 5. Geographic expansion compared with podium nationality diversity.

Figure 5. Geographic expansion compared with podium nationality diversity.

Figure 5 provides the most direct comparison for the primary research question. The number of host countries increased substantially across the study period, while the number of distinct podium nationalities remained within a much narrower range of approximately 11–16.

This difference is important because it demonstrates that the geographic globalization of Formula One has been much stronger than the increase in competitive nationality diversity. The sport has increasingly held races in new countries, but this has not been accompanied by a proportional increase in the number of nationalities represented among podium finishers.

Therefore, the results do not support the idea that geographic expansion automatically produces greater diversity among successful drivers. The two measures appear to represent different dimensions of globalization: where Formula One operates and which nationalities achieve the highest levels of competitive success.

Figure 6 compares podium rates for drivers competing in home races and non-home races.
Figure 6. Podium rates for home and non-home races.

Figure 6. Podium rates for home and non-home races.

Figure 6 compares podium rates for drivers competing in their home country with podium rates for drivers competing outside their home country. Drivers achieved podium finishes in approximately 11.1% of home races compared with approximately 12.8% of non-home races.

The descriptive result therefore does not show the expected positive home advantage. In fact, the observed podium rate was slightly lower for home races. However, the difference should not be interpreted as evidence that racing at home hurts driver performance because the statistical test did not find a significant association.

A chi-square test of independence produced χ²(1) = 2.42 with p = 0.120. Because the p-value is greater than 0.05, there is insufficient evidence to conclude that home-country status and podium outcome are associated. The small descriptive difference could therefore reflect variation in the historical data rather than a meaningful effect of racing at home.

This result suggests that factors other than home-country status are likely more important in determining whether a driver achieves a podium finish. Constructor performance, driver ability, and the competitiveness of the car may have substantially larger effects on race outcomes.

Figure 7 illustrates the relationship between successful Formula One constructors and the nationalities of drivers earning podium finishes for those teams.
Figure 7. Driver nationalities associated with Formula One constructors.

Figure 7. Driver nationalities associated with Formula One constructors.

Figure 7 examines driver nationalities associated with the most successful constructors in the dataset. The results show that several constructors accumulated podium finishes from a relatively concentrated set of driver nationalities. British drivers accounted for substantial shares of podium finishes for multiple successful constructors, while German, Finnish, Brazilian, and Dutch drivers were also strongly represented for particular teams.

This pattern is important because driver nationality cannot be separated completely from constructor competitiveness. A driver can only achieve a podium if the team provides a sufficiently competitive car. Therefore, periods in which a constructor dominates the championship can also produce large numbers of podium finishes for the nationalities of the drivers competing for that constructor.

The constructor results reinforce the broader finding that competitive success has been concentrated among particular groups even as Formula One has expanded geographically. The sport’s international reach therefore does not necessarily translate directly into an equally distributed set of competitive opportunities.

Table 1 summarizes the number of distinct driver nationalities represented on Formula One podiums alongside the number of countries hosting Formula One races during each decade.

Table 1. Podium Nationality Diversity and Geographic Expansion by Decade.
decade distinct_nationalities distinct_host_countries
1950 13 13
1960 13 15
1970 16 17
1980 12 19
1990 12 19
2000 13 20
2010 16 25
2020 11 26

As shown in Table 1, the number of countries hosting Formula One races increased steadily over time, growing from 13 host countries during the 1950s to 26 host countries during the 2020s. In contrast, the number of distinct driver nationalities appearing on the podium remained relatively stable, ranging from 11 to 16 nationalities across decades. Formula One became increasingly global in terms of race location. This expansion did not correspond to a similar increase in the diversity of nationalities achieving podium finishes.

Table 2 summarizes the percentage of races in which drivers achieved a podium finish when competing in their home country compared with races held outside their home country.

Table 2. Home vs. Non-Home Podium Rates.
home_advantage podium_rate
FALSE 12.76
TRUE 11.13

Table 2 shows that drivers achieved podium finishes in approximately 11.1% of home races compared with 12.8% of non-home races. The difference is relatively small, but drivers were slightly less likely to finish on the podium when competing in their home country. Figure 6 provides a visual for this comparison, and the chi-square test showed us that the difference was not significant enough to provide meaningful evidence that there is a home advantage.

Taken together, the results provide a consistent answer to the primary research question. Formula One has become substantially more geographically global, but the diversity of nationalities represented among podium finishers has not increased at the same rate. The number of host countries more than doubled from the 1950s to the 2020s, while podium nationality diversity remained within a relatively narrow range.

The findings therefore suggest that geographic expansion and competitive nationality diversity are related but distinct characteristics of Formula One’s globalization. Expanding the race calendar provides Formula One with a broader international presence, but it does not necessarily change which nationalities are most successful on the track.

Discussion

The results provide a clear distinction between geographic globalization and competitive diversity in Formula One. The number of countries hosting races increased substantially from the early decades of the championship to the modern era, demonstrating that Formula One has expanded its geographic footprint. However, the number of distinct nationalities represented among podium finishers remained within a relatively narrow range. This suggests that the globalization of the race calendar has not automatically resulted in a comparable globalization of competitive success.

One possible explanation is that participating in a Formula One race and achieving a podium finish represent very different levels of access and success. A driver may have the opportunity to compete in an internationally distributed championship without having the resources, experience, or competitive equipment necessary to finish among the top three. As a result, geographic expansion can occur without producing an equivalent increase in the diversity of podium finishers.

The nationality results also show that competitive success changes over time. British drivers accumulated the most podium finishes overall, but other nationalities became particularly successful during different periods. German drivers became much more prominent during the later decades, while French, Finnish, and Brazilian drivers also experienced periods of strong representation. This suggests that nationality dominance is not permanent and may reflect particular generations of drivers and periods of constructor competitiveness.

The constructor analysis provides additional context for these patterns. Podium success depends on both driver performance and constructor performance, meaning that the nationality of successful drivers is partly connected to which teams are competitive during a given period. A concentration of podium finishes among certain nationalities may therefore reflect both the availability of successful drivers and the competitive strength of the teams employing them.

The home-country analysis provides little evidence for a strong home advantage. Although the descriptive podium rates differed between home and non-home races, the chi-square test was not statistically significant. This means that the observed difference should not be interpreted as evidence that racing at home meaningfully changes the probability of a podium finish. The result also illustrates why statistical testing is important: the descriptive pattern alone might suggest a difference, but the inferential analysis does not provide sufficient evidence that the difference represents a systematic relationship.

Several limitations affect the interpretation of these findings. First, the analysis focuses on podium finishers rather than all Formula One participants. Therefore, the results measure diversity among successful drivers rather than diversity among the entire driver population. Second, the number of races and the structure of Formula One seasons have changed over time, meaning that raw counts may reflect differences in the number of opportunities to earn a podium. Third, nationality does not necessarily correspond to birthplace, upbringing, or training location. Finally, the home-country variable required matching nationality and race-country labels, which may introduce classification issues.

Future research could address these limitations by examining all drivers who participated in Formula One rather than only podium finishers. Researchers could also calculate podium rates per race or per driver to make comparisons across decades more consistent. A year-by-year analysis could provide a more detailed view of changes in diversity, while comparing driver nationality with birthplace or training location could provide a more nuanced measure of home advantage.

Overall, the findings suggest that Formula One’s globalization should not be measured using geographic expansion alone. The sport has clearly expanded internationally in terms of race locations, but competitive representation has remained more concentrated. Examining both dimensions provides a more complete understanding of how Formula One has changed throughout its history.

Conclusion

This project examined whether the geographic globalization of Formula One has been accompanied by greater nationality diversity among successful drivers. The results show that the two trends have not progressed at the same rate. Formula One expanded substantially in terms of the countries hosting races, increasing from 13 host countries in the 1950s to 26 in the 2020s. In contrast, the number of distinct nationalities represented among podium finishers remained within a narrower range of approximately 11–16 across decades.

The distribution of podium finishes also demonstrates that competitive success has historically been concentrated among particular nationalities. British drivers accumulated the most podium finishes overall, although the nationalities contributing the most podiums changed across different periods. This shows that competitive dominance can shift over time even when overall nationality diversity remains relatively stable.

The home-country analysis provided no statistically significant evidence of a home advantage. Although the observed podium rates differed between home and non-home races, the chi-square test produced χ²(1) = 2.42 and p = 0.120. Therefore, the analysis does not support the conclusion that competing in a driver’s home country is associated with a greater likelihood of a podium finish.

The main conclusion is that Formula One has become more geographically global without experiencing a proportional increase in competitive nationality diversity. Geographic expansion has changed where Formula One races, but it has not necessarily changed which nationalities achieve the highest levels of competitive success.

Future research should examine all participating drivers rather than only podium finishers, use year-level rather than decade-level comparisons, and consider birthplace or driver-development location in addition to recorded nationality. These approaches could help determine whether nationality diversity is more evident among participation than among the highest levels of competitive success.

References

Rao, R. (2024). Formula 1 World Championship (1950–2024) [Data set]. Kaggle. https://www.kaggle.com/datasets/rohanrao/formula-1-world-championship-1950-2024

Jolpica. (n.d.). Ergast Developer API. https://api.jolpi.ca/ergast/

R Core Team. (2025). R: A language and environment for statistical computing. R Foundation for Statistical Computing. https://www.r-project.org/