Stata has championed reproducible research for over thirty five years.
True reproducibility
Stata equips you with tools to ensure your results are always reproducible. Set random-number seeds for stochastic procedures, such as simulations, or use data signatures to verify that your datasets remain unchanged over time. Stata makes reproducibility a priority.
Read our blog post →
Backward compatibility
From the start, Stata was designed with backward compatibility in mind. With integrated version control, simply type version number to run commands as they worked in earlier versions, even if you're using the latest Stata version. Modern Stata can also read datasets and do-files from any previous version, ensuring seamless compatibility and a commitment to preserving your work.
Integrated version control →
Reliability
Stata’s commands are rigorously tested and continuously certified, ensuring accuracy from the start and across updates. Stata results are verified to be consistent across multiple platforms and architectures. Even with differences in chips or the number of cores, Stata ensures your results remain trustworthy.
View certification results →
Stata is built by professional developers and rigorously tested by expert statisticians. Every command is evaluated to ensure accurate results across typical and edge cases, including missing data and extreme numeric values. Results are validated using Monte Carlo simulations and compared with other estimators to guarantee consistency and reliability. Stata’s certification process involves 4.1 million lines of testing code, generating 6 million lines of output, all verified across multiple platforms and architectures. With Stata, you can trust your results every time.
Stata’s technical support team is composed of master's- and PhD-level statisticians, mathematicians, econometricians, biostatisticians, and expert Stata programmers. Whether you’re tackling a complex data manipulation task, learning an advanced analysis, or simply exploring Stata for the first time, our dedicated team is here to provide prompt, thorough, and reliable answers to all your questions—no matter your level of expertise.
Contact us →
Stata employs a full team of software developers who are ready to quickly evaluate all reports and make changes as necessary. Stata developers also constantly monitor developments in statistical methodology and evaluate adding peer-reviewed and stable new methods to the software.
See what's new in Stata →
Stata is designed with consistency in mind. Once you learn one estimation command, you’ll know how to use almost all others. For example, adding vce(robust) to compute robust standard errors works seamlessly across linear regression, Poisson regression, survival models, and more, making Stata intuitive and efficient.
Stata combines professional power with user-friendly design. With consistent syntax, clear documentation, and an intuitive interface that helps teach you the language and build reproducible scripts, Stata eliminates common learning barriers. Access free learning resources like videos, webinars, and the Statalist forum to master Stata and teach it with ease.
Explore learning resources →
Stata’s advanced programming tools include Mata for object-oriented matrix programming, PyStata for seamless Python integration, and support for C, C++, and Java. Stata’s flexibility empowers developers and users to create and share new features daily, meeting the growing demands of modern research. Whether you need interactive tools or optimized code, Stata offers a fast, versatile environment for custom solutions.
Learn more about Mata →
Read more about community-contributed features →
Stata’s documentation goes beyond syntax—it includes examples, stored results, detailed methods, and references for further learning. From beginners to advanced users exploring cutting-edge techniques, Stata’s in-depth, accessible documentation has you covered.
Learn more about Mata →
Stata’s streamlined design, robust documentation, and expert support let you focus on what matters—analyzing data, teaching concepts, and conducting research—rather than struggling to learn the software.
Stata is built by professional developers and rigorously tested by expert statisticians. Every command is evaluated to ensure accurate results across typical and edge cases, including missing data and extreme numeric values. Results are validated using Monte Carlo simulations and compared with other estimators to guarantee consistency and reliability. Stata’s certification process involves 4.1 million lines of testing code, generating 6 million lines of output, all verified across multiple platforms and architectures. With Stata, you can trust your results every time.
Stata’s technical support team is composed of master's- and PhD-level statisticians, mathematicians, econometricians, biostatisticians, and expert Stata programmers. Whether you’re tackling a complex data manipulation task, learning an advanced analysis, or simply exploring Stata for the first time, our dedicated team is here to provide prompt, thorough, and reliable answers to all your questions—no matter your level of expertise.
Contact us →
Stata employs a full team of software developers who are ready to quickly evaluate all reports and make changes as necessary. Stata developers also constantly monitor developments in statistical methodology and evaluate adding peer-reviewed and stable new methods to the software.
See what's new in Stata →
Stata is designed with consistency in mind. Once you learn one estimation command, you’ll know how to use almost all others. For example, adding vce(robust) to compute robust standard errors works seamlessly across linear regression, Poisson regression, survival models, and more, making Stata intuitive and efficient.
Stata combines professional power with user-friendly design. With consistent syntax, clear documentation, and an intuitive interface that helps teach you the language and build reproducible scripts, Stata eliminates common learning barriers. Access free learning resources like videos, webinars, and the Statalist forum to master Stata and teach it with ease.
Explore learning resources →
Stata’s advanced programming tools include Mata for object-oriented matrix programming, PyStata for seamless Python integration, and support for C, C++, and Java. Stata’s flexibility empowers developers and users to create and share new features daily, meeting the growing demands of modern research. Whether you need interactive tools or optimized code, Stata offers a fast, versatile environment for custom solutions.
Learn more about Mata →
Read more about community-contributed features →
Stata’s documentation goes beyond syntax—it includes examples, stored results, detailed methods, and references for further learning. From beginners to advanced users exploring cutting-edge techniques, Stata’s in-depth, accessible documentation has you covered.
Browse Stata documentation →
Stata’s streamlined design, robust documentation, and expert support let you focus on what matters—analyzing data, teaching concepts, and conducting research—rather than struggling to learn the software.
Discover more Stata power. Fast. Accurate. Easy to use. Stata is a fully integrated software package designed to handle every aspect of your data science workflow—from data manipulation and visualization to advanced statistical analysis and automated reporting. With Stata, you can trust that your results will be delivered with speed, precision, and simplicity.
Learn more →
“I much prefer Stata!! One of my senior students had me start out in R, which seemed great at the time (honestly, it was the "free" that hooked me), but all the packages I needed to start downloading were really bloating my computer. When I finally made the decision to fully switch to Stata, I deleted R and my computer started acting like it was new again!
Monica Heidsch, University of Georgia
Additional resources to help you make the most out of Stata.
Stata Press →
Books, manuals, and journals on Stata and statistical topics for researchers of all levels.
