New Stata 15 - Extended Regression Models / Spatial Autoregressive Models / Linearized DSGE / Embed Stata results, graphs in Word and PDF documents, Markdown to HTML / Transparent Graphics and a lot more...
End User License Agreement
Stata is a complete, integrated statistical software package that provides everything you need for data analysis, data management, and graphics.
Fast, accurate, and easy to use
With both a point-and-click interface and a powerful, intuitive command syntax, Stata is fast, accurate, and easy to use.
All analyses can be reproduced and documented for publication and review. Version control ensures statistical programs will continue to produce the same results no matter when you wrote them. See certification results and FDA document compliance for accuracy details.
Stata's graphical user interface
Broad suite of statistical features
Stata puts hundreds of statistical tools at your fingertips;
From standard methods, such as:
Basic tabulations and summaries,
ANOVA and MANOVA,
Generalized linear models, (GLM)
Contrasts and comparisons,
to advanced techniques, such as:
Survival models with frailty,
Dynamic panel data (DPD) regressions,
SEM (Structural equation modeling),
Binary, count, and censored outcomes,
Matrix programming with Mata
Mata is a full-blown programming language that compiles what you type into bytecode, optimizes it, and executes it fast.Though you don't need to program to use Stata, it is comforting to know that a fast and complete matrix programming language is an integral part of Stata. Mata is both an interactive environment for manipulating matrices and a full development environment that can produce compiled and optimized code. It includes special features for processing panel data, performs operations on real or complex matrices, provides complete support for object-oriented programming, and is fully integrated with every aspect of Stata. We don't just write statistical methods, we validate them. The results you see from a Stata estimator rest on comparisons with other estimators, Monte-Carlo simulations of consistency and coverage, and extensive testing by our statisticians. Every Stata we ship has passed a certification suite that includes 2.3 million lines of testing code that produces 4.3 million lines of output. We certify every number and piece of text from those 4.3 million lines of code. Technical supportStata technical support is free to registered users. And, this is a case of getting much more than you pay for.We have a dedicated staff of expert Stata programmers and Statisticians to answer your technical questions. From tricky data management solutions to getting your graph looking just right. From explaining a robust standard error to specifying your multilevel model. We have your answers.Extensible Resources Community
Complete data-management facilities
Stata's data-management features give you complete control of all types of data.
You can combine and reshape datasets, manage variables, and collect statistics across groups or replicates. You can work with byte, integer, long, float, double, and string variables (including BLOBs and strings up to 2 billion characters). Stata also has advanced tools for managing specialised data such as survival/duration data, time-series data, panel/longitudinal data, categorical data, multiple-imputation data, and survey data.
You can write scripts to produce hundreds or thousands of graphs in a reproducible manner and export them to EPS or TIF for publication, to PNG 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.
Regression fit graphs
Stata makes it easy to generate publication-quality, distinctly styled graphs.
When it comes time to perform your analyses or understand the methods you are using, Stata does not leave you high and dry or ordering books to learn every detail.
Each of our data management features is fully explained, and documented, and shown in practice on real examples. Each estimator is fully documented and includes several examples on real data, with real discussions of how to interpret the results. The examples give you the data so you can work along in Stata and even extend the analyses. We give you Quick Starts for every feature showing some of the most common uses. Want even more detail, our Methods and Formulas sections provide the specifics of what is being computed and our References point you to even more information.
Stata is a big package and so has lots of documentation – over 14,000 pages in 27 volumes. But don't worry, type helpmy topic and Stata will search its keywords, indices, and even user-written packages to bring you everything you need to know about your topic. Everything is available right within Stata.
Stata will run on Windows, Mac and Linux/Unix computers; however, licenses are not platform specific.
That means if you have a Mac laptop and a Windows desktop, you don't need two separate licenses to run Stata. You can install your Stata license on any of the supported platforms. Stata datasets, programs, and other data can be shared across platforms without translation. You can also quickly and easily import datasets from other statistical packages, spreadsheets, and databases.
The Stata Journal is a quarterly publication containing articles about statistics, data analysis, teaching methods, and effective use of Stata's language. The Journal publishes reviewed papers together with shorter notes and comments, regular columns, book reviews, and other material of interest to researchers applying statistics in a variety of disciplines.
Stata Press® publishes books, manuals, and journals about Stata and general statistics topics for professional researchers of all disciplines. Stata Press® publications are available to purchase in our Bookshop
The StataNews is a free quarterly publication containing articles on using Stata, announcements of newreleases and updates, training schedules, new books, Conferences and Users Group meetings, new products, and other announcements of interest to Stata users.
The offical Stata Blog, Not Elsewhere Classified (NEC), will keep you up to date about all thingsrelated to Stata, including product announcements, service announcements such as on-site and public training, and timely tips and comments related to the use of Stata. Individually signed, the articles in NEC are written by the same people who develop, support, and sell Stata. NEC is informal but useful, and even entertaining.
There are a multitude of training options available to become proficient at Stata quickly. Stata provides hands-on public training courses, customized on-site training courses, and online training through NetCourses and video tutorials.
Whether you are a beginner or an expert, you will find something just for you at the Users Group meetings (UGM's), which are held each year in various locations around the world. These meetings showcase in-depth presentations from StataCorp experts and experienced Stata users that focus on helping you use Stata more effectively.
A great resource for users is Statalist, a forum where more than 23,000 Stata users exchange over 35,000 postings and responses each month. Statalist is run and moderated by Stata users and maintained by StataCorp.
Our users love to share how great Stata is, so we'd like to show you! If you think Stata is great too, send us an email with your comment and we may share it with the Stata community.
Stata 15 is a complete, integrated statistical package that provides everything you need for data analysis, data management, and graphics. Stata is not sold in modules, which means you get everything you need in one package. And, you can choose a perpetual licence, with nothing more to buy ever. Annual licences are also available.
Whether you're a student or a seasoned research professional, a range of Stata packages are available and designed to suit all needs.
All of the following flavours of Stata have the same complete set of commands and features and manuals included as PDF documentation within Stata.
Stata/MP: The fastest version of Stata (for dual-core and multicore/multiprocessor computers)
Stata/MP is the fastest and largest version of Stata. Most computers purchased since mid 2006 can take advantage of the advanced multiprocessing of Stata/MP. This includes the Intel Core™ 2 Duo, i3, i5, i7, and the AMD X2 dual-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 provides the most extensive support for multiprocessor computers and multicore computers of any statistics and data-management package.
The exciting thing about Stata/MP is that it runs faster—much faster. Stata/MP lets you analyse data in one-half to two-thirds of the time compared with Stata/SE on inexpensive dual-core desktops and laptops and in one-quarter to one-half the time on quad-core desktops. Stata/MP runs even faster on multiprocessor servers. Stata/MP supports up to 64 processors/cores.
In a perfect world, software would run twice as fast on two cores, four times as fast on four cores, eight times as fast on eight cores, and so on. Across all commands, Stata/MP runs 1.7 times faster on two cores, 2.4 times faster on four cores, and 3.2 times faster on eight cores. These values are median speed improvements. Half the commands run even faster.
On the other side of the distribution, a few commands do not run faster, often because they are inherently sequential, such as time-series commands.
Stata worked hard to make sure that the performance gains for commands that take longer to run would be greater. Across all estimation commands, Stata/MP runs 1.9 times faster on two cores, 3.1 times faster on four cores, and 4.1 times faster on computers with eight cores.
Stata/MP is 100% compatible other versions of with Stata. Analyses do not have to be reformulated or modified in any way to obtain Stata/MP’s speed improvements.
Stata/MP is available for the following operating systems:
Windows (32- and 64-bit processors);
macOS (64-bit Intel processors);
Linux (32- and 64-bit processors);
Solaris (64-bit SPARC and x86-64).
To run Stata/MP, you can use a desktop computer with a dual-core or quad-core processor, or you can use a server with multiple processors. Whether a computer has separate processors or one processor with multiple cores makes no difference. More processors or cores makes Stata/MP run faster.
For more advice on purchasing/upgrading to Stata/MP or for hardware queries, please contact our sales team.
Stata/SE and Stata/IC differ only in the dataset size that each can analyse. Stata/SE and Stata/MP can fit models with more independent variables than Stata/IC (up to 10,998). Stata/SE can analyse up to 2 billion observations.
All versions of Stata run on dual-core, multi-core and multi-processor computers.
Stata for Windows
Windows 10 *
Windows 8 *
Windows 7 *
Windows Vista *
Windows Server 2012 *
Windows Server 2008 *
Windows Server 2003 *
Windows Server 2016 *
* 64-bit and 32-bit Windows varieties for x86-64 and x86 processors made by Intel® and AMD.
Stata for Mac
Stata for macOS requires 64-bit Intel® processors (Core™2 Duo or better) running macOS 10.9 or newer
Stata for Unix
Linux: Any 64-bit (x86-64 or compatible) or 32-bit (x86 or compatible) running Linux.
Minimum of 1 GB of RAM for Stata/IC, 2GB for Stata/SE and 4GB for Stata/MP
Minimum of 1 GB of disk space for all versions
Stata for Unix requires a video card that can display thousands of colours or more (16-bit or 24-bit colour)
Find out all about Stata’s expansive range of statistical features using the table of contents below. Each section links to further details and examples to help users get the best out of their software.
Every installation of Stata includes all the documentation in PDF format. Stata’s documentation consists of over 14,000 pages detailing each feature in Stata including the methods and formulas and fully worked examples. You can transition seamlessly across entries using the links within each entry.
This course provides participants with the essential tools, both theoretical and applied, for a proper use of instrumental variables (IV) and structural equation models (SEM) for statistical causal modelling using Stata.
This course will show you how to save time and avoid errors. You will discover tips and tricks to help get your programs to check for potential problems and ensuring your software carries on working with new data, with the need for less maintenance.
Our 2018 Econometrics Summer School, Cambridge will be held at Wolfson College, University of Cambridge. The School comprises 3x 2-day econometrics short courses delivered by leading Econometricians from the University of Cambridge: Prof. Andrew Harvey, Prof. Sean Holly and Dr. Melvyn Weeks.
The three courses comprising the School are - Microeconometrics / Time Series Analysis & Modelling / Macroeconomic Modelling & Forecasting.