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.

Tour of the NEW Stata v18 interface

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.

Stata/MP Brochure

Stata for Colleges and Universities

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)

Teaching with Stata (PDF)


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