Statistical software for data science. With both a point-and-click interface and a powerful, intuitive command syntax, Stata is fast, accurate, and easy to use.
Used by researchers for more than 30 years, Stata provides everything you need for data science—data manipulation, visualization, statistics, and automated reporting.
Whether you’re a student, an analyst or research professional, we have a package designed to suit your needs:
Stata/MP: The fastest edition of Stata (for quad-core, dual-core, and multicore/multiprocessor computers) that can analyze the largest datasets
Stata/SE: Standard edition; for larger datasets
Stata/BE: Basic edition; for mid-sized datasets
Numerics by Stata: Stata for embedded and web applications
Stata/MP is the fastest and largest edition of Stata. Virtually any current computer can take advantage of the advanced multiprocessing of Stata/MP. This includes the Intel i3, i5, i7, i9, Xeon, Celeron, and AMD multi-core chips. On dual-core chips, Stata/MP runs 40% faster overall and 72% faster where it matters, on the time-consuming estimation commands. With more than two cores or processors, Stata/MP is even faster.
Stata/MP, Stata/SE, and Stata/BE all run on any machine, but Stata/MP runs faster. You can purchase a Stata/MP license for up to the number of cores on your machine (maximum is 64). For example, if your machine has eight cores, you can purchase a Stata/MP license for eight cores, four cores, or two cores.
Stata/MP can also analyze more data than any other edition of Stata. Stata/MP can analyze 10 to 20 billion observations given the current largest computers, and is ready to analyze up to 1 trillion observations once computer hardware catches up.
Stata/SE and Stata/BE differ only in the dataset size that each can analyze. Stata/SE (up to 10,998) and Stata/MP (up to 65,532) can fit models with more independent variables than Stata/BE (up to 798). Stata/SE can analyze up to 2 billion observations.
Stata/BE allows datasets with as many as 2,048 variables and 2 billion observations. Stata/BE can have at most 798 independent variables in a model. All the above editions have the same complete set of features and include PDF documentation.
Tour of the NEW Stata v18 interface
Used by hundreds of thousands of researchers for more than 35 years, Stata provides everything you need for data science—data manipulation, visualization, statistics, and reproducible reporting.
New in Stata 18 — Bayesian model averaging • Causal mediation analysis • Tables of descriptive statistics • Heterogeneous DID • Group sequential designs • Multilevel meta-analysis • Meta- analysis for prevalence • Robust inference for linear models • Wild cluster bootstrap • Local projections for IRFs • Flexible demand systems • TVCs with interval-censored Cox model • Lasso for Cox model • RERI • IV quantile regression • Alias variables across frames • All-new graph style and more...
Publication-quality graphics
Stata makes it easy to generate publication-quality, distinctly styled graphs.
You can point and click to create a custom graph. Or you can write scripts to produce hundreds or thousands of graphs in a reproducible manner. Export graphs to EPS or TIFF for publication, to PNG or SVG for the web, or to PDF for viewing. With the integrated Graph Editor, you click to change anything about your graph or to add titles, notes, lines, arrows, and text.
Stata/MP is the fastest and largest edition of Stata
Stata/MP lets you analyze data in one-half to two-thirds the time compared with Stata/SE on inexpensive dual-core laptops and in one-quarter to one-half the time on quad-core desktops and laptops. Stata/MP runs even faster on multiprocessor servers. Stata/MP supports up to 64 cores/processors.
Speed is often most crucial when performing computationally intense estimation procedures. A few of Stata's estimation procedures, including linear regression, are nearly perfectly parallelized, meaning they run twice as fast on two cores, four times as fast on four cores, eight times as fast on eight cores, and so on. Some estimation commands can be parallelized more than others. Taken at the median, estimation commands run 1.7 times faster on 2 cores, 2.6 times faster on 4 cores, and 3.4 times faster on 8 cores.
Speed can also be important when managing large datasets. Adding new variables is nearly 100 percent parallelized, and sorting is 61 percent parallelized.
Because speed is very important when your problems are big, Stata/MP supports even larger datasets than Stata/SE.
Stata/SE can analyze up to 2 billion observations. Stata/MP can analyze 10 to 20 billion observations on the largest computers currently available and is ready to analyze up to 1 trillion observations once computer hardware catches up. Stata/MP also allows 120,000 variables.
Universities worldwide rely on Stata because it is a complete statistical package that provides a broad statistical base. Teaching your course with Stata provides your students with tools and skills that translate to their professional life.
Campus and Faculty/Department Site licenses available. Stata site license provides your entire faculty or university with full access to the most current version of Stata at a lower cost. Academic Site License Brochure (PDF)
