This map shows the number of new electric vehicles (EVs) sold in 2023, highlighting regional differences. The data includes both fully battery-electric vehicles and plug-in hybrids. China leads the world with an astounding 8.1 million EVs sold, putting it in the top category above 5 million. The United States comes in second but trails far behind, selling 1.4 million EVs, which places it in the 1-million category. Germany follows, with approximately 700,000 EVs sold—roughly half of the U.S. total. France and the UK each sold about 450,000 EVs, represented on the map by a medium green shade. A darker green shade shows countries in the 100,000 category, which includes Canada, Spain, Sweden, Norway, Australia, and Italy. Countries like Mexico, Brazil, and India sold fewer than 100,000 EVs, marked with a dark green and blue shade. South Africa had only about 1,000 EV sales, represented by dark purple. Many other regions remain unshaded on the map, indicating no reported EV sales. Overall, China clearly dominates EV sales, vastly outpacing all other nations.
Source: data.gov
| Make | BEV Count | PHEV Count |
|---|---|---|
| TESLA | 91158 | 0 |
| NISSAN | 14711 | 0 |
| CHEVROLET | 10587 | 4805 |
| FORD | 7439 | 3670 |
| KIA | 6768 | 2798 |
| RIVIAN | 5871 | 0 |
| VOLKSWAGEN | 5771 | 0 |
| HYUNDAI | 5169 | 0 |
| BMW | 3267 | 5326 |
| AUDI | 2303 | 1668 |
| TOYOTA | 0 | 7197 |
| JEEP | 0 | 5484 |
| CHRYSLER | 0 | 3714 |
| VOLVO | 0 | 3417 |
| MITSUBISHI | 0 | 978 |
The graph illustrates the amount of registered BEV’s and PHEV’s, alongside the distribution of the top 10 makes of Battery Electric Vehicles (BEVs) and Plug-in Hybrid Electric Vehicles (PHEVs) registered in Washington State.
There are significantly more BEV’s (~150000) compared to PHEV’s which is less than 50000.
Tesla dominates the BEV category, significantly outpacing other manufacturers in the number of registered vehicles.
In contrast, the PHEV segment demonstrates a more even distribution among the top makes, with Toyota, Jeep, and BMW being the heaviest hitters. This suggests a strong consumer preference for Tesla in the BEV market, while the PHEV segment exhibits greater diversity in manufacturer representation.
Source: data.gov
This chart analyzes the growth history of the states with the highest current EV population and lowest current EV population, comparing them to the average of the total EV population data across time.
As of 2024, the state with the highest current EV population is Wisconsin. The state with the lowest current EV population is Washington.
This chart shows us that Wisconsin was a mainstream adopter of the EV trend, rapidly increasing it’s EV population once the average EV population reached it’s peak. It is now sitting at a 32.5% EV population in 2024. Meanwhile, the EV population of Washington has increased by only 1% in the last 7 years.
The average across all states hit a high of 10.8% in 2021, then fell back to 6.1% in 2023. This causes concern as to why the population of EV’s would decrease. It could be due to a number of things, such as an increase in the US purchases of Non-EV’s, or a dissatisfaction with EV’s. But now, in 2024, the population of EV’s seems to be leveling out between the previous high and low.
Source: data.gov
These plots compare the populations of EVs and Non-EVs in the United States between 2017-2024. Source: data.gov
This dashboard was created using Quarto in RStudio, and the R Language and Environment.
The data used to create this dashboard were downloaded from:
Yahoo Finance Kaggle Statista Our World in Data Chat GPTArnold J (2024). ggthemes: Extra Themes, Scales and Geoms for ‘ggplot2’. R package version 5.1.0, https://github.com/jrnold/ggthemes, https://jrnold.github.io/ggthemes/.
Auguie B (2017). gridExtra: Miscellaneous Functions for “Grid” Graphics. R package version 2.3, https://CRAN.R-project.org/package=gridExtra.
Bache S, Wickham H (2022). magrittr: A Forward-Pipe Operator for R. R package version 2.0.3, https://CRAN.R-project.org/package=magrittr.
Dancho M, Vaughan D (2023). tidyquant: Tidy Quantitative Financial Analysis. R package version 1.0.7, https://github.com/business-science/tidyquant.
Kunst J (2022). highcharter: A Wrapper for the ‘Highcharts’ Library. R package version 0.9.4, https://CRAN.R-project.org/package=highcharter.
Neuwirth E (2022). RColorBrewer: ColorBrewer Palettes. R package version 1.1-3, https://CRAN.R-project.org/package=RColorBrewer.
Posit team (2024). RStudio: Integrated Development Environment for R. Posit Software, PBC, Boston, MA. URL http://www.posit.co/.
R Core Team (2024). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/.
Rinker, T. W. & Kurkiewicz, D. (2017). pacman: Package Management for R. version 0.5.0. Buffalo, New York. http://github.com/trinker/pacman
Vanderkam D, Allaire J, Owen J, Gromer D, Thieurmel B (2018). dygraphs: Interface to ‘Dygraphs’ Interactive Time Series Charting Library. R package version 1.1.1.6, https://CRAN.R-project.org/package=dygraphs.
Wickham H, Averick M, Bryan J, Chang W, McGowan LD, François R, Grolemund G, Hayes A, Henry L, Hester J, Kuhn M, Pedersen TL, Miller E, Bache SM, Müller K, Ooms J, Robinson D, Seidel DP, Spinu V, Takahashi K, Vaughan D, Wilke C, Woo K, Yutani H (2019). “Welcome to the tidyverse.” Journal of Open Source Software, 4(43), 1686. doi:10.21105/joss.01686 https://doi.org/10.21105/joss.01686.
Xie Y (2024). knitr: A General-Purpose Package for Dynamic Report Generation in R. R package version 1.48, https://yihui.org/knitr/.
Yihui Xie (2015) Dynamic Documents with R and knitr. 2nd edition. Chapman and Hall/CRC. ISBN 978-1498716963
Yihui Xie (2014) knitr: A Comprehensive Tool for Reproducible Research in R. In Victoria Stodden, Friedrich Leisch and Roger D. Peng, editors, Implementing Reproducible Computational Research. Chapman and Hall/CRC. ISBN 978-1466561595
Zhu H (2024). kableExtra: Construct Complex Table with ‘kable’ and Pipe Syntax. R package version 1.4.0, https://github.com/haozhu233/kableExtra, http://haozhu233.github.io/kableExtra/.