Buy Stata | volume single-user new purchases (educational)

>> Home >> Order >> Educational volume single-user new purchases

ALL PRICES IN USD

New purchases

Educational volume single-user

To order licenses for more than 25 users, contact us.

You must be affiliated with a degree-granting institution to receive educational pricing.

Stata/IC

For the price conscious.

Quantity	Price
2	$945.00	both
3–5	+240.00	each
6–10	+200.00	each
11–25	+175.00	each
26–50	+145.00	each
51–100	+120.00	each
101–200	+90.00	each
201–500	+55.00	each
501+	Contact us

perpetual license

Stata/SE

For general-purpose users.

Quantity	Price
2	$1,395.00	both
3–5	+365.00	each
6–10	+300.00	each
11–25	+265.00	each
26–50	+215.00	each
51–100	+175.00	each
101–200	+135.00	each
201–500	+75.00	each
501+	Contact us

perpetual license

Stata/MP

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.

For power users.

Product features

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.

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 ...