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4 Stata packages

Whether you’re a student or a seasoned research professional, Stata has a package designed to suit your needs:

  • Stata/MP — The fastest version of Stata (for quad-core, dual-core, and multicore/multiprocessor computers) that can analyze the most data
  • Stata/SE — Stata for large datasets
  • Stata/IC — Stata for mid-sized datasets
  • Numerics by Stata — Stata for embedded and web applications

    • All the above flavours have the same complete set of commands and features and include PDF documentation. Printed documentation is optional.

Compare features

Stata/MP is the fastest and largest version of Stata. Virtually any current computer can take advantage of the advanced multiprocessing of Stata/MP. This includes the Intel i3, i5, i7, i9, Xeon, and Celeron, and AMD multi-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, Stata/SE, and Stata/IC all run on any machine, but Stata/MP runs faster. You can purchase a Stata/MP license for up to the number of cores on your machine (maximum is 64). For example, if your machine has eight cores, you can purchase a Stata/MP license for eight cores, four cores, or two cores.

Stata/MP can also analyze more data than any other flavor of Stata. Stata/MP can analyze 10 to 20 billion observations given the current largest computers, and is ready to analyze up to 1 trillion observations once computer hardware catches up.

Stata/SE and Stata/IC differ only in the data set size that each can analyze. Stata/SE and Stata/MP can fit models with more independent variables than Stata/IC (up to 10,998). Stata/SE can analyze up to 2 billion observations.

Stata/IC allows data sets with as many as 2,048 variables and 2 billion observations. Stata/IC can have at most 798 independent variables in a model.

Numerics by Stata can support any of the data sizes listed above in an embedded environment.

For a complete list of available features, visit the Stata website.

Package Max no. of variables Max no. of independent variables Max. no.of observations 64-bit version available? Fastest: designed for parallel processing? Platforms
Stata/MP
The fastest version of Stata (for dual-core and multicore/multiprocessor computers)		 120,000 65,532 20 billion* Yes Yes Windows, Mac (64-bit Intel), or Unix
Stata/SE
Stata for large datasets		 32,767 10,998 2.14 billion Yes No Windows, Mac, or Unix
Stata/IC
Stata for mid-sized datasets		 2,048 798 2.14 billion Yes No Windows, Mac, or Unix

* The maximum number of observations is limited by the amount of available RAM on your system.

System Requirements

Package Memory Disk space
Stata/MP 4 GB 1 GB
Stata/SE 2 GB 1 GB
Stata/IC 1 GB 1 GB

Windows, Mac & Unix

Stata will run on the 3 platforms listed below. While Stata software is platform-specific, your Stata license is not; therefore, you need not specify your operating system when placing your order for a license.

Windows versions supported by Stata 16:

  • Windows 10 *
  • Windows 8 *
  • Windows 7 *
  • Windows Server 2016, 2012, 2008 R2, 2019 *

* Stata requires 64-bit Windows for x86-64 processors made by Intel® and AMD.

Mac versions supported by Stata 16:

Stata for macOS requires 64-bit Intel processors (Core2 Duo or better) running macOS 10.11 or newer.

Stata for Linux

  • Any 64-bit (x86-64 or compatible) running Linux
  • For xstata, you need to have GTK 2.24 installed
  • Stata for Linux requires a video card that can display thousands of colours or more (16-bit or 24-bit colour)
  • Software
    • Stata 16
    • EViews 11
    • @RISK 7
    • The DecisionTools Suite 7
    • RATS 10.0
    • Stat/Transfer 14

Buy Stata 16

Buy online or contact our sales team for a customised quote based on:

  • Single and volume licenses.
  • Academic or commercial use.
  • Upgrades from previous versions.
Buy Stata 16 online

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Stata News

Stata 16 announced - 27 Jun 2019

Stata webinars in March 2019 - 06 Mar 2019

Upcoming Stata webinars in September and October - 02 Aug 2018

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