15 Statistics Project Ideas for High School Students

Build quantitative skills and boost your profile while working on real-world problems.

If you enjoy working with numbers and patterns, statistics is one of the most versatile fields you can explore in high school. Statistics connects directly to disciplines like economics, medicine, psychology, sports analytics, political science, and artificial intelligence, making it an especially valuable subject if you want to pursue research or data-driven careers. Unlike projects in a few other technical research areas that require expensive equipment or lab access, a project in statistics only needs publicly available datasets, spreadsheets, or survey tools. You can complete many projects using public datasets from organizations like the CDC, World Bank, Pew Research Center, Kaggle, or government census databases. You can also collect your own data through surveys, experiments, or observational studies. Whether you want to analyze sports performance, study social behavior, or investigate healthcare trends, statistics gives you tools to explore meaningful questions in a rigorous way.

Why pursue statistics projects in high school?

Statistics gives you a framework for understanding how evidence works, and working on a project in the field can help you develop practical skills, including data interpretation, critical thinking, coding, visualization, and evidence-based reasoning. Instead of relying on assumptions or anecdotes, you will learn how to collect data, test ideas, identify patterns, and communicate conclusions clearly. That process is useful in nearly every academic discipline and professional field. These projects can also signal strong analytical ability, which can boost your college applications. 

To help you get started, here we have put together a list of 15 statistics project ideas for high school students. 

If you want to take your work further, Lumiere is one of the best platforms for turning statistics project ideas that high school students commonly explore into structured, mentored research experiences. Through the Lumiere Research Scholar Program, you can work with a Ph.D. mentor to develop a rigorous research paper with publication potential. 

If you’re looking for online summer research programs, check out our blog here.

Key takeaways

• These 15 project ideas span behavioral science, sports analytics, public health, media studies, economics, and environmental science, so students can choose a statistics project that connects to a subject they already find interesting.

• Most projects require only publicly available datasets or a simple survey rather than specialized software or lab equipment, drawing on sources like the CDC, WHO, IMDb, or classroom surveys, making them accessible without advanced resources.

• Each project builds core statistical skills, such as correlation analysis, regression, sampling error, and data visualization, while also teaching research ethics and survey bias, since several projects rely on self-reported data.

• Structured mentorship programs, such as Lumiere's Research Scholar Program, can help students expand a statistics project idea into a full research paper with guidance from a PhD mentor, with the potential for a publication-ready outcome.

1. Analyze Sleep Patterns and Academic Performance

You can design a survey and ask your classmates about their sleep habits, screen time, study routines, and grades, then analyze whether there are meaningful correlations between sleep duration and academic outcomes. This project combines behavioral science with quantitative analysis, and the topic is directly relevant to your peers. You can use statistical tools like correlation coefficients, averages, and regression analysis to identify trends in the data. You may also explore whether variables like extracurricular workload or caffeine consumption influence the relationship between sleep and performance. To add to this, you can compare your findings with published sleep research on adolescents. 

This project can teach you about research ethics and survey bias, since the accuracy of self-reported data can affect conclusions. You will learn how to clean data, visualize trends, and explain statistical findings in a way that non-experts can understand while also refining your correlation analysis skills. As it requires no advanced resources, it is one of the more accessible statistics project ideas high school students can explore. 

2. Study Social Media Usage and Mental Health Trends

You can investigate whether increased social media use is associated with stress, anxiety, productivity issues, or self-esteem among teenagers. Start by creating an anonymous survey and collecting responses about daily screen time, app usage, mood, and study habits. Once you gather the data, you can use descriptive statistics and visualizations to identify behavioral trends. You can compare average stress levels across different screen-time categories or analyze whether certain platforms are linked to stronger emotional effects. You can also compare your findings with existing academic studies on social media and adolescent well-being. 

This project connects quantitative analysis with psychology and public health. The experience can build your ability to interpret research critically instead of relying only on your own dataset. It can additionally help you understand how statistical reasoning contributes to ongoing debates about technology and mental health.

3. Investigate Gender Representation in Media

 This project combines media studies with quantitative research and applied statistics in an interdisciplinary way. You can collect data from movies, television shows, advertisements, or news broadcasts and analyze how often different genders appear in leadership roles, speaking roles, or technical professions. You may organize your dataset by genre, release year, or platform and calculate percentages and frequency distributions. Statistical comparisons can help you determine whether representation patterns differ significantly across categories. You can also create charts and graphs to communicate trends visually. A strong extension of this project would involve comparing your findings with historical data to examine whether representation has improved over time. The experience can help you build and refine the ability to categorize data and transform qualitative observations into quantitative analysis.

4. Analyze Sports Performance Data

Sports analytics is one of the most engaging statistics project ideas high school students can explore as the field combines mathematics with real-world competition. You can study player efficiency, shot accuracy, scoring consistency, or team performance trends using publicly available sports data. For example, you can analyze whether home-field advantage significantly affects win rates or whether player fatigue impacts performance during tournament schedules. Statistical measures like averages, standard deviations, and probability distributions become highly useful in this context. You can strengthen the project further by using predictive modeling to forecast outcomes or player performance. Even basic spreadsheets can help you build meaningful analyses if your methodology is clear. This idea can be particularly effective if you enjoy both mathematics and athletics and want to build analytical thinking skills through real project work.

5. Examine Public Health Trends Using Agency Data

You can use CDC or WHO datasets to study trends in obesity, vaccination rates, smoking, diabetes, or mental health across different regions or demographic groups. This project is ideal if you are interested in medicine, epidemiology, or healthcare policy. Start by identifying a focused question, such as whether certain regions have experienced faster increases in obesity rates over time. Then organize and analyze the data using graphs, trendlines, and comparative statistics. Public health datasets are often large, which makes this project especially rigorous and research-oriented. You can also discuss potential causes behind the trends you identify and compare your conclusions with published public health reports. This will add some depth and context to your analysis while strengthening your research-writing skills. Among statistics project ideas high school researchers pursue, this one stands out because of its direct societal relevance.

If you want to turn the idea into full-fledged research, the Lumiere Research Scholar Program can pair you with a Ph.D. mentor in biology, public health, or medicine to develop it into a full research paper.

6. Study Consumer Spending Habits Among Teenagers

You can create a survey examining how teenagers spend money on food, entertainment, subscriptions, clothing, or technology. Once the responses are collected, you can analyze spending priorities across different age groups or income levels. This project allows you to explore concepts like averages, percentages, outliers, and spending distributions while building analytical skills. You may also investigate whether social media influences purchasing behavior or whether budgeting habits differ by demographic factors. A strong discussion section could connect your findings to broader economic trends and consumer psychology research. As the project combines economics with statistics, it works particularly well if you are interested in business, finance, or behavioral science.

7. Compare Election Poll Predictions with Actual Results

You can analyze historical polling data and compare predicted outcomes with actual election results to evaluate polling accuracy. This project will introduce you to concepts like sampling error, confidence intervals, and statistical uncertainty. You may investigate whether certain polling organizations consistently overestimate or underestimate specific outcomes. Another potential angle would be examining how sample size affects prediction reliability. You can also explore how public opinion changes over time by comparing polls conducted at different stages of an election cycle. This can add a dynamic component to your analysis and help you work toward more advanced reasoning and interpretation focused on trends and variability.

8. Investigate Music Preferences and Productivity

You can explore whether listening to music affects concentration, memory retention, or productivity while studying. Start by surveying participants about their preferred music genres and testing self-reported productivity levels under different conditions. After collecting the data, you can compare averages across groups and determine whether differences appear statistically meaningful. You may also explore whether instrumental music affects productivity differently from lyrical music. This project can be accessible at the data collection stage while still challenging enough given the rigorous analysis involved in later phases. Additionally, the project combines psychology and statistics as well as experimental design and the challenge of controlling external variables, making it a multi-faceted idea to explore.

9. Analyze Climate Change Data Over Time

You can examine long-term climate datasets involving global temperatures, carbon dioxide levels, sea-level rise, or extreme weather events. This project will help you see how statistics can be used to interpret environmental change and scientific evidence. You may use regression analysis and trendlines to identify long-term patterns in the data. Comparing multiple environmental indicators can also help you explore relationships between variables. As climate change is highly interdisciplinary, this project lets you connect statistics with environmental science, geography, and policy discussions. It will also give you experience working with large datasets, conducting trend analysis, and interpreting scientific information critically.

10. Explore the Relationship Between Exercise and Stress Levels

You can survey participants about weekly exercise frequency, stress levels, sleep quality, and academic workload to investigate whether physical activity influences mental well-being. This is one of the more feasible statistics project ideas high school students can explore while still producing meaningful findings. You can organize the data into categories based on exercise frequency and compare average stress scores across groups. Visualizations like scatterplots and bar graphs can help you communicate your findings clearly. An additional layer of analysis could examine whether certain types of exercise appear more strongly associated with stress reduction. This project is worth exploring if you are interested in psychology, health sciences, or public wellness and want to build statistical visualization skills.

11. Examine Trends in Movie Ratings

You can look up IMDb or Rotten Tomatoes ratings to study whether genre, release year, runtime, or budget influences audience reception. You will benefit from having access to widely available entertainment data while also using the information to explore and practice rigorous quantitative methods. You can investigate whether certain genres consistently receive higher ratings or whether sequels perform differently from original films. Statistical comparisons between critic scores and audience scores can also produce interesting conclusions. This project can teach you how to clean and organize large datasets before analysis. It may additionally strengthen your ability to interpret patterns carefully instead of making assumptions based on isolated examples.

12. Investigate Nutrition Patterns in School Lunches

You can collect nutritional information from school cafeteria menus and compare calorie counts, sugar levels, protein intake, or sodium content across meal categories. This project combines statistics with nutrition science and public health. You can analyze whether the meals align with recommended dietary guidelines and identify patterns in food quality over time. Comparing school lunches with packed lunches or fast-food alternatives can make the analysis even more layered. The project will help you touch upon broader issues like accessibility, nutrition education, and student wellness as well as build comparative analysis skills. As the data is relatively easy to collect, it is a practical yet academically meaningful option.

13. Study Streaming Trends Across Different Age Groups

You can survey participants of various ages about their streaming platform preferences, viewing time, binge-watching habits, and content genres. Once you gather responses, you can compare trends across age groups or demographics. This project can help you build skills in frequency distributions, cross-tabulation, and behavioral trend analysis. You may also investigate whether viewing habits correlate with sleep patterns or academic productivity. A strong addition to this project would involve comparing your findings with industry reports from streaming companies or research organizations. The experience can help you connect small-scale and anecdotal data collection with larger market trends and media studies.

14. Analyze Traffic Patterns Near Your School

You can collect observational data about traffic volume, congestion, or pedestrian movement during different times of day near your school. You may compare traffic conditions before and after school events or examine how weather affects congestion patterns. Organizing the data into time intervals allows you to create detailed visualizations and identify peak periods. This project is especially useful if you are interested in engineering, city planning, or transportation systems. It can also help you explore how statistics can support urban planning and safety decisions and how observational data collection differs from survey-based research.

15. Investigate Study Habits and Test Performance

You can examine how study methods, study duration, note-taking strategies, or group study sessions affect test scores among your peers. This project can be quite relevant as it will help you directly connect academic behavior with measurable outcomes. After collecting survey data, you can analyze whether specific habits can be associated with higher performance. You may also compare differences between grade levels or subject areas. Discussing limitations like sample size or self-reporting bias can be a useful measure to ensure you derive realistic conclusions. The project outcomes can demonstrate that you understand not only how to calculate statistics, but also how to evaluate the quality of evidence critically.

Final thoughts

Statistics is one of the most flexible and impactful subjects you can explore in high school because it teaches you how to think critically about evidence, patterns, and decision-making. Whether you are interested in healthcare, sports, psychology, business, public policy, or environmental science, the right statistics project can help you apply quantitative methods to questions that genuinely matter. The best statistics project ideas high school students explore are not necessarily the most complicated; they are ones that ask meaningful questions and analyze data thoughtfully. Regardless of the topic you choose, by completing a strong project, you can build practical analytical skills, strengthen your academic profile, and gain experience with real-world research methods.

Frequently asked questions

What are some statistics project ideas for high school students that don't require advanced datasets?

Several projects rely on simple classroom surveys rather than large datasets, including analyzing sleep patterns and academic performance, studying social media usage and mental health trends, investigating music preferences and productivity, and exploring the relationship between exercise and stress levels among peers.

Which statistics project ideas are best for students interested in public health or medicine?

Students interested in public health might consider examining public health trends using CDC or WHO data on obesity, vaccination rates, or diabetes, investigating nutrition patterns in school lunches, or studying the relationship between exercise and stress levels, all of which connect statistical methods directly to health outcomes.

What statistics project ideas work well for students interested in sports, media, or entertainment?

Students interested in sports or media might consider analyzing sports performance data using player efficiency and win-rate statistics, examining trends in movie ratings by genre or budget, investigating gender representation in media, or studying streaming trends across different age groups.

How can I turn a statistics project idea into a more formal research experience?

Programs like the Lumiere Research Scholar Program pair students with a PhD mentor in a relevant field, such as biology, public health, or economics, to help develop a project idea into a full research paper with proper methodology, statistical rigor, and academic writing, offering the potential for a publication-ready outcome.

What statistical skills do these high school projects help build?

Depending on the project, students can build skills such as correlation and regression analysis, survey design and bias evaluation, data visualization, sampling error and confidence intervals, and comparative analysis across categories or time periods, all of which are useful for research and college-level coursework.

Stephen is one of the founders of Lumiere and a graduate of Harvard College, where he earned an A.B. in Statistics. He founded Lumiere as a PhD student at Harvard Business School. Lumiere is a selective research program where students work 1-1 with a research mentor to develop an independent research paper.