
With Stata, choose the reference in statistical software
Fast. Accurate. Easy to use.
Stata is a complete and integrated software that meets all your data science needs: powerful statistical analyses, customizable visualizations, easy data manipulation, and automated reproducible reporting, all in one complete package.
Take your research further with the newest features in Stata 18.
5 good reasons to use this software
- Complete statistical software
- Easy to use and learn
- Reference software for econometrics, epidemiology and survey processing
- Rich technical support and documentation
- Easy and fast processing of large data sets
Why choose Stata?
Stata is a comprehensive software that covers all your needs to analyze your data efficiently and accurately: statistics, visualization, data manipulation, automated reports.
The reference in:
- Econometrics
- Epidemiology
- Survey processing
- Behavioral Science
- Biostatistics
- Data science
- Institutional Research
- Medicine
- Political Science
- Education
- Finance, business and marketing
- Public Health
- Public Policy
- Sociology
Data management
Stata offers many features allowing you a total control over your data:
- Import/Export
- Data transformation
- ODBC support
- Combination of datasets,
- Specific data management (cross-sectional data: panel data, time series, longitudinal data, slice data…)
Key statistical features
Stata gives you access to a wide range of statistical features:
Contrast; Pairewise; Comparison and margins; Epidemiology; GMM; Longitudinal data/panel data; Bayesian analysis; Structural Equation Modelling (SEM); Survey processing; Treatment effects; Time series….
Quality graphics
You can easily generate quality graphics for your publications and reports:

Reproducibility, Testing and Certification (FDA)
- Reproducibility between different operating systems and between different editions of Stata
- Tested, verified, and certified commands and functions
- Certified by the FDA for submissions to regulatory agencies
Ease of use
Stata offers a user-friendly interface allowing easy access to all features, even for non- programmers.
StataCorp Technical Support
- As a user of the current edition of Stata (Stata 18), you are entitled to free technical support
- Quick, clear, precise and detailed answers
- A dedicated team of researchers and experts (master, PHD)
Documentation, resource sharing, user community
As a Stata user, you have access to many resources and can count on a very dynamic community:
- 35 manuals with over 18,000 pages
- User forum, Stata researchers’ blog
- Stata Journal: quarterly class A journal
- Stata International Conferences
Cross-platform compatible
Stata is compatible with Windows, Mac and Linux platforms.
An edition that adapts to your needs
Depending on the power of your computers and the volume of data to be processed, Stata offers a range of 3 different editions to suit your needs:
- Stata/BE: Basic edition; for medium-sized datasets
- Stata/SE: Standard edition; for larger datasets
- Stata/MP: Multi-Processors; the fastest edition of Stata (for dual-core, quad-core and multi-core/multi- processor computers); for the largest datasets
Affordable price
Stata is offered as a complete package, without any additional module!
All Stata Versions offer the same features, but here are several purchase options to fit your specific needs, whether you have large datasets to handle or are in need for the fastest computing ever.
Annual and multiyear subscriptions are the easiest way to secure access to the latest features and keep you focus on your research.
Software | Max. number of variables | Max. number of right-hand variables | Max. number of observations | 64-bit edition available | Design for parallel computing ? | Platforms |
Stata/MP | 120 000 | 65 532 | 20 billion* | Yes | Yes | Win, Mac (64-bits) or Unix |
Stata/SE | 32 767 | 10 998 | 2.14 billion* | Yes | No | Win, Mac or Unix |
Stata/BE | 2 048 | 798 | 2.14 billion* | Yes | No | Win, Mac or Unix |
StataNow™ (New)
New features straight from development to you
StataNow™ is a continuous-release version of Stata that offers new features as soon as they are ready, without having to wait for the next major release.

With StataNow™, new features are regularly released throughout the current version, from the latest statistical methods to the best in reporting, data visualization, and the user interface. So, you always benefit from the best version of Stata.
All StataNow™ features are rigorously tested and certified, guaranteeing the same level of quality as usual.
See StataNow™ features:
https://www.stata.com/new-in-stata/features/#statanow
How to take advantage of it?
All Stata annual license holders have access to StataNow™, whether as an annual, multi-year or site license. By subscribing to a Stata 18 annual license, you can thus enjoy continuous updates of StataNow™.
Stata Features
Stata includes a wide range of features to meet all your data science needs. Some of the key features are listed below:
Data management
Data transformations; match-merge; data import/export; ODBC; SQL; XML; group processing; adding files; sorting; row-column transposition; labeling; saving results...
Basic statistical features
Summaries; cross-tabulations; correlations; t-tests; equality of variance tests; proportion tests; confidence intervals; factorial variables...
Graphics
Curves; scatterplots; histograms; pie charts; hi-lo charts; contour plots; graph editor; diagnostic regression plots; non-parametric smoothers; Q-Q graph distribution...
Graphical user interface
Results window; Command window; Examination window; Data editor; Head of variables; Ne-file editor; Variable properties; Viewer; Clipboard preview tool; Menus/dialogs for all commands; multiple preference sets...
Longitudinal / panel data
Random and fixed effects with robust standard errors; linear mixed models; random effects probit; GEE; random and fixed Poisson effects; dynamic panel data models; instrumental variables regression models; AR (1) perturbations…
Time series
ARIMA; ARFIMA; ARCH/GARCH; VAR; VECM; multivariate GARCH; unobserved component model; state-space models; business schedules; forecasts; impulse-response functions; unit root tests; smoothers…
Multilevel mixed effects models
Continuous and binary outcomes; cross-random effects; ML and REML estimation; residual error structures; support for survey data in multilevel linear models...
Survey Methods
Bootstrap; BRR, linearized jackknife and SDR variance estimation; poststratification; DEFF; predictive margins; means; proportions, ratios; totals; summary tables; instrumental variables; probit; Cox regression...
ANOVA / MANOVA
Symmetric and asymmetric designs; factorial, nested and mixed designs; repeated measures; marginal means; contrasts...
Survival analysis
Kaplan-Meier and Nelson-Aalen estimators; Cox regression (fragility); parametric models (fragility); competing risks; covariates; left and right censoring; exponential Weibull analysis and Gompertz models; sample size and power analysis...
SEM (Structural Equation Modeling)
Graphical model builder; standardized and non-standardized estimates; modification indices; direct and indirect effects; path diagrams; factor scores and other predictions; estimates with groups and invariance tests; goodness of fit; MAR data manipulation by FIML; survey data; pooled data…
Tests, predictions and effects
Wald tests; LR tests; linear and non-linear combinations; generalized forecasts and predictions; marginal means; least squares means; adjusted means; marginal and partial effects; Hausman tests...
Multivariate methods
Factor analysis; principal components; discriminant analysis; rotation; multidimensional scaling; procrustes analysis; correspondence analysis; biplots; dendrograms...
Contrasts and pairwise comparisons
Comparison of means, intercepts or slopes; comparison of adjacent categories; comparison with reference or grand mean category; orthogonal polynomials; adjustment for multiple comparisons; treatment effects; graphical effects and potential outcomes…
Generalized Linear Models (GLM)
Ten link functions; user-defined links; seven distributions; ML and IRLS estimation; nine variance estimators; seven residuals…
Epidemiology
Rate normalization; case-control; cohort; matched case-control; Mantel-Haenszel; pharmacokinetics; ROC analysis; ICD-9-CM...
Non-parametric methods
Wilcoxon-Mann-Whitney ranks; Wilcoxon and Kruskal-Wallis tests; Spearman and Kendall correlations; Kolmogorov-Smirnov tests; exact binomial CI; survival data; ROC analysis; smoothing; bootstrapping…
Other statistical methods
Sample size and power; Kappa measure of agreement between two coders; Cronbach's alpha, normality tests; mathematical and statistical functions...
Exact statistics
Exact logistics and Poisson regression; exact case-control study; binomial test; Fisher's exact test for r × c tables...
Non-linear regression GMM
Generalized method of moments (GMM); non-linear regression...
Resampling and simulation methods
Bootstrap; jackknife; Monte Carlo simulation, permutation test...
Maximum likelihood
User-specified functions; NR, DFP, BFGS, BHHH; OIM, OPG, robust, bootstrap, and jackknife matrices; Wald tests; survey data; numerical or analytical derivatives…
Programming language
Adding new commands; scripting commands; if; while; parsing commands; debugging; programming menu and dialog box; markup and control language...
Installation qualification
IQ report for regulatory agencies such as the FDA; verification of the accessibility of the facility for people with disabilities...
Commands provided by the community
Thousands of free additions: for meta-analysis; data management; survival; econometrics...
Internet capacity
Ability to install new commands; web updates; web file sharing; latest news from Stata and much more...
What’s new in the Stata 18 edition
Stata 18 presents a wide range of new features! Here is a zoom on some of the main features:
Bayesian model averaging (BMA)
Uncertain which predictors to use in your regression? Model averaging can help! Use this feature to account for model uncertainty in your analysis, explore influential models and predictors, get better predictions, and more.

Causal mediation analysis
This new feature allows you to evaluate how the treatment affects the outcome. You can also estimate direct, indirect and total effects. You can fit models for continuous, binary and count outcomes as well as mediators. The mediate command is very flexible and supports 24 combinations of models.

Heterogeneous difference in differences (DID)
Estimate treatment effects that vary over groups and time. You can fit models for repeated cross-sectional or panel data. You can also visualize effects and aggregate them within group, time, or exposure to treatment.

Relative excess risk due to interaction (RERI)
Use RERI to determine how do exposures interact to increase risk? You can fit logistic, binomial, Poisson, Cox, and other models. You can also estimate relative excess risk due to interaction (RERI), attributable proportion and the synergy index.

Robust inference for linear models
Stata 18 offers new ways to obtain standard errors and confidence intervals for linear models fit with regress, aref and xtreg, fe. You can estimate cluster-robust standard errors, with few clusters, unbalanced clusters or multiple clustering variables. You can now add the vce(hc2 clustvar) option to obtain HC2 cluster-robust standard errors. Also use the wild cluster bootstrap for robust p-values and confidence intervals.

Stata 18 offers other major new features among which:
- Tables of descriptive statistics
- Group sequential designs
- Multilevel meta-analysis
- Meta-analysis for prevalence
- Wild cluster bootstrap
- Local projections for IRFs
- Flexible demand system models
- TVCs with interval-censored Cox model
- Lasso for Cox model
- IV quantile regression
- IV fractional probit model
- Alias variables across frames
- Data Editor enhancements
- Do-file Editor enhancements
- All-new graph style
Find in detail all the new key features of Stata 18 here.
This new version also includes the following new features / optimizations:
- Corrected and consistent AIC
- Model selection for ARIMA and ARFIMA
- GOF plots for survival models
- New spline functions
- Graph colors by variable
- Create, load, and save sets of frames
- Boost-based regular expressions
- Vectorized numerical integration
- New reporting features in putdocx, putexcel, and putpdf
Configuration
Operating systems
Operating system | Version |
Microsoft Windows | Windows 11* Windows 10* Windows Server 2022, 2019, 2016, 2012R2* |
Apple MacOS | Mac with Apple Silicon or Intel processor (Core i3 or higher) MacOS 11.0 (Big Sur) or higher for Macs with Apple Silicon and MacOS 10.13 (High Sierra) or newer for Macs with Intel 64-bit processors |
Linux | Any 64-bit architecture (Core i3 equivalent or better) running Linux Minimum requirements include the GNU C library (glibc) 2.17 or higher and libcurl4 For Stata, you must have GTK 2.24 installed |
Memory and disk space configuration
Package | Random Access Memory (RAM) | Disk space |
Stata/MP Fast and powerful | 4 GB | 2 GB |
Stata/SE large data sets | 2 GB | 2 GB |
Stata/BE basic edition | 1 GB | 2 GB |