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New purchases

Student Lab

Student Lab licenses are licenses that are strictly for use by students and by faculty for teaching at degree-granting institutions. Please include your university email address when ordering.

To order a license for more than 50 users, contact us.

Small Stata

For students.

$800	10-user Lab
+ $50	each

Lab license

Stata/IC

For the price conscious.

$1,200	10-user Lab
+ $90	each

Lab license

Stata/SE

For general-purpose users.

$1,850	10-user Lab
+ $160	each

Lab license

Stata/MP (2-core)

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 CoreTM 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, Stata/MP is even faster.

For power users.

$2,150	10-user Lab
+ $195	each

Lab license

Product features

Small Stata

Stata/IC

Stata/SE

Stata/MP

Maximum number of variables

Maximum number of columns/fields allowed in your dataset.

2,047

32,767

Maximum number of observations

Maximum number of rows/records in your dataset.

1,200

Over 2.14 billion

Maximum number of right-hand-side variables

Maximum number of explanatory variables allowed in a model. In the linear regression case, the maximum number of regressors.

798

10,998

Multicore support

Stata/MP: The fastest version of Stata (for dual-core and multicore/multiprocessor computers).

Stata/MP runs 2.1 times faster overall and 2.8 faster where it matters—on the time-consuing estimation commands. With more than four cores, Stata/MP is even faster.

Complete suite of statistical features

Linear models	Panel Data	Survival analysis
Multilevel models	Treatment effects	Time series
GLM	ANOVA/MANOVA	Binary outcomes
Multiple imputation	SEM	Count outcomes
Survey methods	Exact statistics	Power and sample size
Contrasts	Marginal effects	GMM
Multivariate methods	Cluster analysis	Bootstrapping
Basic statistics	Epidemiology	Programmable MLE
Simulation	Nonparametrics	and more ...