In 2023, female motorists accounted for just over half of all licensed drivers in the United States, with around 120.1 million female licensees compared to 117.6 million male licensees. The total number of licensed drivers stood at around 237.7 million. Fewer younger drivers The share of young drivers in the driving population fell significantly between 2010 and 2020. Under 20-year-olds accounted for about 3.8 percent of total license-holders in 2019, down to under 3.7 percent in 2020. The reason for this is being put to the increased number of drivers in other age cohorts, and also the rising costs of car insurance, which is highest for young male drivers. The rise in insurance premiums on young men should not come as a surprise, as young men are more likely than any other demographic to die at the wheel. Non-binary gender options Some federal states issue third gender identities. License-holders can choose between three options: M, F, and X. However, even if more and more states are to accommodate non-binary gender identities, this has yet to become included in national statistics.

In the United States, men are much more likely to own cars than women, despite more women holding a valid driver's license in 2019. The difference in ownership, however, is slowly decreasing. As of 2020, women accounted for about 35.4 percent of car owners.

In 2021, there were almost 232.8 million licensed drivers in the United States. At around 27 million, California issued the highest number of licenses in the country that year. Not only is California the U.S. state with the highest number of licensed drivers, but it is also the most populous state in the U.S. overall, representing close to 12 percent of the country’s total population.

Young people are most likely to be involved in car accidents
When it comes to accidents, people aged 21 to 24 are most at risk. While there are more female license holders in the U.S., men are more likely to drive at least occasionally. Across all age groups, the male population has substantially higher death rates than the female population.

About licenses in the U.S. The driver’s license became mandatory in the United States in the early 20th century, with Missouri and Massachusetts being the first states to require an official license for operating certain types of motor vehicles. Such vehicles include motorcycles, passenger vehicles, trucks, trailers, or buses. New Jersey became the first state to require all drivers to pass a mandatory test before being granted an official driver’s license.

Around 237.7 million people held valid driving licenses in the United States in 2023. In most U.S. states, the minimum age to be behind the wheel is 16 years old. There are slightly more female licensees than male drivers. Some states are beginning to issue non-binary gender options on their licenses, and digital IDs are expected to become widely adopted soon. Lack of road safety Lax driving tests and lack of training are sometimes sighted as reasons for the high level of road accidents and fatalities in the United States, compared to other countries. The number of people killed in traffic-related accidents reached a peak in 2021 when almost 47,000 people died on U.S. roads. In recent years, the United States has witnessed a slight decrease in road traffic fatalities. The vast majority of accidents are recorded in urban areas, but rural accidents are more likely to be fatal. Automation and aggravation More than half of U.S. drivers say they have been on the receiving end of road-rage. These events may cause traffic accidents or lead to physical assault. It is hoped that vehicle automation will be able to reduce driver error and eliminate road rage. However, self-driving cars are often on the receiving end of violence due to anti-computer animosity from human drivers, and customers report concerns regarding the safety of autonomous cars. However, we can expect to share roads with more self-driving vehicles soon.

In 2021, more than 44,000 male drivers were involved in fatal crashes in U.S. road traffic, which accounted for 72.3 percent of the total, while female drivers were involved in about 15,100 fatal crashes. The number of drivers who were involved in fatal crashes has shown an increase of about 16.2 percent from 2016.

The Usage-Based Insurance (UBI) market, valued at $41,150 million in 2025, is experiencing robust growth, projected to expand at a Compound Annual Growth Rate (CAGR) of 15.7% from 2025 to 2033. This surge is driven by several key factors. Firstly, the increasing adoption of telematics technology allows insurers to accurately assess individual driving behavior, leading to more personalized and equitable premiums. Consumers are drawn to the potential for cost savings through safer driving habits, incentivized by lower premiums. Secondly, growing awareness of data privacy and security is shaping the market, with providers implementing robust measures to address concerns and build consumer trust. Furthermore, the increasing penetration of smartphones and connected vehicles fuels the growth of UBI by facilitating easy data collection and integration. Finally, the competitive landscape is fostering innovation, with established insurers and new entrants alike offering diverse UBI products tailored to specific customer needs, such as Pay-As-You-Drive (PAYD), Pay-How-You-Drive (PHYD), and Distance-Based Insurance (DBI). The market segmentation reveals a notable gender disparity, with a higher adoption rate expected among men compared to women. This reflects differing driving habits and risk profiles. Regional variations also exist, with North America, particularly the United States, anticipated to maintain a significant market share due to early adoption of telematics and well-established insurance infrastructure. However, rapid growth is expected in Asia-Pacific regions like India and China driven by increasing vehicle ownership and growing adoption of digital technologies. The presence of established players like Progressive, Allstate, and Nationwide, alongside innovative newcomers, further intensifies competition and drives market expansion. While data privacy concerns and technological limitations pose challenges, the overall market trajectory points towards sustained growth and broader adoption of UBI models in the coming years.

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Shoal Creek Drive. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Shoal Creek Drive, the median income for all workers aged 15 years and older, regardless of work hours, was $39,167 for males and $17,917 for females.

These income figures highlight a substantial gender-based income gap in Shoal Creek Drive. Women, regardless of work hours, earn 46 cents for each dollar earned by men. This significant gender pay gap, approximately 54%, underscores concerning gender-based income inequality in the village of Shoal Creek Drive.

- Full-time workers, aged 15 years and older: In Shoal Creek Drive, among full-time, year-round workers aged 15 years and older, males earned a median income of $58,750, while females earned $39,625, leading to a 33% gender pay gap among full-time workers. This illustrates that women earn 67 cents for each dollar earned by men in full-time roles. This level of income gap emphasizes the urgency to address and rectify this ongoing disparity, where women, despite working full-time, face a more significant wage discrepancy compared to men in the same employment roles.

Remarkably, across all roles, including non-full-time employment, women displayed a similar gender pay gap percentage. This indicates a consistent gender pay gap scenario across various employment types in Shoal Creek Drive, showcasing a consistent income pattern irrespective of employment status.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Shoal Creek Drive median household income by race. You can refer the same here

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