Stata

Overview

Stata is a desktop environment for statistical analysis and data science, aimed at researchers who need to move from data preparation through analysis to reporting. Its breadth and reproducibility tools make it a strong fit for sustained research workflows; its locally installed delivery and academic eligibility rules on the quoted Prof+ prices narrow its appeal.

Made by Stata in College Station, Texas, the product combines statistics, visualization, data management, and automated reporting without separate modules or hidden costs. StataCorp says the first release came in January 1985 and that Stata 19 arrived in April 2025.

Key features

Stata covers statistical tests, regression, time-series and panel-data analysis, survival methods, causal inference, Bayesian analysis, and machine learning. Stata 19 adds H2O ensemble decision trees, conditional average treatment effects, high-dimensional fixed effects, Bayesian variable selection and quantile regression, and panel-data VAR. That range makes it useful when a project spans established statistical methods and newer approaches, rather than requiring a separate tool for each stage.

Data preparation includes frames, sorting, labeling, saved results, append and match-merge operations, and tools for missing values and large datasets. Imports include Excel, CSV and delimited text, SAS, SPSS, Parquet, dBase, FRED, and Haver. JDBC, ODBC, and SQL connections can exchange data with Oracle, Microsoft SQL Server, MySQL, Amazon Redshift, Snowflake, and other databases, and execute SQL statements. This connectivity is valuable for researchers working with database-backed data, though Stata remains a locally installed desktop application rather than a hosted service.

Analysis can be scripted and connected with Python, PyStata, Jupyter Notebook, Java, H2O, C/C++ plugins, and OLE Automation. Reports can be generated reproducibly with customizable and graphical tables, then exported to Word, Excel, PDF, HTML, or Markdown; graphs export to EPS, PNG, PDF, SVG, or TIFF. Modern Stata can also read older code and datasets, a practical advantage for maintaining long-running research projects.

Documentation spans more than 19,000 pages, with 36 manuals and thousands of worked examples. Free webinars, video tutorials, and NetCourses supplement paid live classroom or web-based training. Users can also draw on Statalist, conferences, FAQs, customer service, and technical support from StataCorp programmers and statisticians. The combination is unusually substantial for complex analytical work, though the documentation's scale may take time to navigate.

Stata also lists Installation Qualification and FDA compliance features, and states that it is Section 508 compliant for accessibility.

Pricing

Stata is paid software, with annual single-user Prof+ licenses for faculty and staff at accredited, degree-granting universities. Buyers must provide proof of institutional affiliation. The prices are:

• Stata/BE Prof+: $175 a year, a full-featured Stata/BE license.
• Stata/SE Prof+: $275 a year, a full-featured Stata/SE license.
• Stata/MP 2-core Prof+: $395 a year, the multiprocessor edition with 2 cores.
• Stata/MP 4-core Prof+: $560 a year, with 4 cores.
• Stata/MP 6-core Prof+: $675 a year, with 6 cores.
• Stata/MP 8-core Prof+: $790 a year, with 8 cores.

The BE and SE editions are the lower-cost choices; the MP licenses cost more in exchange for their stated multiprocessor core counts. The supplied prices do not establish edition-specific dataset or performance limits, so the right tier depends on the license edition and core count the buyer needs. These Prof+ prices are not a general academic rate for students or other readers: eligibility is limited to qualifying faculty and staff. Instructors can request a free one-week license, while accredited degree-granting instructors can request a free six-month Stata/BE license for undergraduate classes.

Platforms

Stata runs on Linux, macOS, and Windows, but only as locally installed desktop software. Installation is handled by the customer or a software administrator, so it suits organizations comfortable managing desktop deployments and is not a browser-based option.

Who it's for

Stata is designed for researchers in fields including biostatistics, economics, epidemiology, finance, medical research, political science, psychology, public health, public policy, sociology, education, business, and data science. It is particularly compelling when a team needs a broad statistical toolkit, reproducible reporting, database connections, and compatibility with older code in one desktop environment. Readers seeking a web-first workflow or unable to qualify for the quoted Prof+ prices should weigh other tools.

Pros and cons

• Pro: Statistics, data management, visualization, and reporting sit in one platform, with no separate modules or hidden costs.
• Pro: Broad import, database, and programming integrations support workflows that combine external data and code.
• Pro: Extensive documentation, training, and technical support are valuable for demanding research methods and reproducibility.
• Con: The desktop-only model rules out browser-based access and requires local installation.
• Con: The quoted annual prices are Prof+ rates restricted to qualifying university faculty and staff, with affiliation proof required.
• Con: The large documentation set is comprehensive but may be daunting for readers who want a compact starting point.

Alternatives

Compare statistical analysis software if you want to survey the category before choosing a tool.

• jamovi is a sensible alternative for readers who prefer free browser access or point-and-click analyses powered by R; its Guest plan is free and includes the full module library.
• R is the free-software alternative for readers choosing an environment without a paid plan.
• JASP is a free alternative for readers who meet its 64-bit, 4 GB free-disk-space, and 4 GB RAM minimum requirements.
• EViews is another option for readers comparing statistical software with academic and commercial licensing.
• gretl is a free, open-source option for readers who want software they may redistribute and modify under the GNU GPL.
• XLSTAT is an alternative for readers comparing statistical tools with a free plan.
• PAST is a free option with spreadsheet-style data entry, univariate and multivariate statistics, and graphical analysis.
• LatentGOLD is another alternative for readers comparing statistical software and licensing options.

Verdict

Choose Stata if you are a researcher who needs an integrated, reproducible desktop workflow across data management, statistical methods, and reporting. Its breadth, database connections, and deep documentation are the strongest reasons to choose it. Look elsewhere if you need browser-based delivery or cannot use the institution-restricted Prof+ pricing.