The complete package for data analysis, data management and graphics


stata 14 box 200Stata is a complete and powerful statistical package that is intended for researchers in all disciplines. With Stata, you get everything you need in one comprehensive package with no annual licensing fees. Thanks to Stata easy to use environment, which is built around the concept of point-and-click, intuitive command language and online help; you will quickly be able to start using this advanced tool. All analysis and results can then be reproduced and documented for your publications.

In Stata, you have hundreds of statistical tools and methods available. These include everything from basic to advanced statistical methods and analysis. Stata also contains a wide range of commands for handling data files and large data sets. You will also find many useful methods to produce graphs and statistical charts of high quality, which you can directly use in your publications and articles.

Stata is available for Windows, Mac and Unix / Linux.

Contact us for a demo at This email address is being protected from spambots. You need JavaScript enabled to view it. or call +44 (0) 203 695 7810


Stata 15 was announced the 6th of June 2017! We will update this product page shortly, but please click the link below to read more about the new features in Stata 15:

- - - - -

STATA 14 was announced the 7th of April 2015 and is possibly the biggest release ever. It is certainly the broadest!

Here is a quick look at some of the new features and improvements in Stata 14.

bayesian analysis

Bayesian analysis

  • Thousands of built-in models
  • Add your own models
  • Adaptive Metropolis–Hastings
  • Gibbs sampling
  • Convergence diagnostics
  • Posterior summaries
  • Hypothesis testing
  • Model comparison

irt item response theory

IRT (Item Response Theory)

  • Binary response models—1PL, 2PL, 3PL
  • Ordinal response models—graded response, partial credit, rating scale
  • Nominal response model
  • Hybrid models
  • Item characteristic curves
  • Test characteristic curves
  • Item information function



  • Data
  • Variable and value labels
  • Variable names

multilevel survival models

Multilevel survival models

  • Random effects
  • Crossed effects
  • Two, three, higher level
  • Right censoring
  • Exponential, Weibull, ...
  • Survey data

power and sample size

Power and sample size

  • Contingency tables
  • Cochran–Mantel–Haenszel test
  • Test for trend
  • Matched case–control studies
  • Survival analysis

markov switching models

Markov-switching models

  • Autoregressive model
  • Dynamic regression model
  • State-dependent parameters
  • Transition probabilities
  • State membership probabilities

panel survival

Panel-data survival models

  • Random effects (intercepts)
  • Random coefficients
  • Right-censoring
  • Exponential, Weibull, ...
  • Survival graphs

fractional outcome regression

Fractional outcome regression

  • Fractions, proportions, ...
  • Beta regression
  • Probit and logit
  • Heteroskedasticity
  • Odds ratios

treatment effects

Treatment effects

  • Survival outcomes
  • Endogenous treatments
  • Balance diagnostics and tests
  • Sampling weights

multilevel models

Multilevel models

  • Survey data
  • Multilevel sampling weights
  • Survival models
  • Denominator degrees of freedom
  • Marginal predictions, means, effects

sem structural equation modeling

SEM (Structural Equation Modeling)

  • Satorra–Bentler adjustments
  • Survival models
  • Survey data
  • Multilevel weights
  • Marginal predictions, means, effects

survey statistics

Survey statistics

  • Multilevel models
  • Survival models
  • SEM (structural equation modeling)
  • Multistage/multilevel weights

marginal means and marginal effects

Marginal means and marginal effects

  • Multiple outcomes
  • Multiple equations
  • Integrate over random effects
  • Integrate over latent variables

More statistics

  • Hurdle models
  • Censored Poisson models
  • Beta regression
  • Structural break tests
  • z tests comparing means
  • More distribution functions
  • Mersenne Twister

More documentation

  • Two new manuals
  • 12,000+ total pages
  • Quick starts
  • Thousands of worked examples
  • Overview of statistical methods

And more...

  • More than 2 billion observations
  • Integration with Excel
  • Postestimation made easy
  • ICD-10
  • Interface in Spanish and Japanese

Read about all the new features and improvements in STATA 14 on the link below:


Stata 14 - Overview

Stata 14 - Producer site

System requirements

  • Windows 8, 7, Vista, XP, 2012 Server, 2008 Server, 2003 Server (32/64-bit)
  • Mac OSX 10.7 or later, 64-bit, minimum Intel Core 2 Duo processor
  • Linux: Any 64-bit (x86-64 or compatible) or 32-bit (x86 or compatible) running Linux
  • Memory: 512 MB, Hard drive: 600 MB, DVD-ROM
  • Stata for Unix requires a video card that can display thousands of colors or more (16-bit or 24-bit color)

License options

Four editions of Stata

  • Stata / IC
    Standard Edition of Stata (max 2047 variables, 2.14 billions of observations).
  • Stata / SE
    Stata for large datasets (up to 32 767 variables, 2.14 billions of observations).
  • Stata / MP
    Faster version that is designed to utilize today's machines with multicore processors and parallel processing. Delivered by number of cores such as MP2, MP4, MP8, etc. 20 billion observations (limited by hardware memory).
  • Small Stata
    Student Edition Stata (maximum of 99 variables, 1200 observations, only 32-bit).

Licensing options

  • Single User
  • Network
  • Floating Network licenses
  • Volume Licensing

Fixed ownership licenses for all license options. For volume licenses (25 +) you can also choose annual lease licenses.

Stata 14 comes with PDF documentation and included installation files on DVD for all OS / platforms. Printed manuals are no longer an option.

Contact us today for a quote!