Stata

Overview

Stata’s main strength is breadth within one desktop environment: statistical work, data preparation, graphs, and report outputs sit in the same platform, without extra modules or hidden costs. It is a considered choice for research teams that value a durable, scriptable workflow, but it is not a SaaS service and must be installed locally by the user or an administrator.

The product serves researchers in fields including economics, epidemiology, education, finance, public health, psychology, and political science. The maker, Stata, is headquartered in College Station, Texas, and was founded in 1983. StataCorp says it has focused on reproducible research for more than 40 years; modern versions can read older code and datasets, a practical advantage for maintaining established analyses.

Key features

The methods span regression, time-series and panel-data analysis, survival analysis, 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 Stata useful when a project moves across conventional inference and newer methods, though the breadth will matter less to users who need only a small set of analyses.

Data handling covers large datasets, missing values, merges, and time-series structures. Imports include Excel XLS/XLSX, CSV and delimited text, SAS, SPSS, Parquet, dBase, FRED, and Haver. Frames, sorting, labeling, saved results, append and match-merge operations support repeatable preparation. JDBC, ODBC, SQL, and Java integration extend workflows to databases including Oracle, Microsoft SQL Server, MySQL, Amazon Redshift, and Snowflake.

For output, Stata supports customizable and graphical tables, reproducible reports, and exports to Word, Excel, PDF, HTML, and Markdown; graphs can be saved as EPS, PNG, PDF, SVG, or TIFF. Python, PyStata, Jupyter Notebook, H2O, and C/C++ plugins offer routes to integrate with other tools. Documentation exceeds 19,000 pages, with worked examples, while training includes free webinars, tutorials, NetCourses, and classroom or web-based sessions. Statalist, conferences, FAQs, customer service, and technical support from StataCorp programmers and statisticians round out the support options. Compliance features include Installation Qualification, FDA-related statistical software requirements, and Section 508 accessibility.

Pricing

Prof+ annual licenses are single-user, full-featured editions for faculty and staff at accredited, degree-granting universities; proof of affiliation is required. Stata/BE Prof+ costs 175.00 USD per year, the lowest-priced edition. Stata/SE Prof+ costs 275.00 USD per year. These are the lower-cost choices for eligible academics who do not need a multiprocessor edition.

For multiprocessor use, Stata/MP 2-core Prof+ costs 395.00 USD per year, Stata/MP 4-core Prof+ costs 560.00 USD per year, Stata/MP 6-core Prof+ costs 675.00 USD per year, and Stata/MP 8-core Prof+ costs 790.00 USD per year. Each adds the stated core count; the higher annual cost makes sense when that edition fits the workload. Instructors can request a free one-week license, and accredited degree-granting instructors can request a free six-month Stata/BE license for undergraduate classes.

Platforms

Stata runs as a desktop application on Linux, macOS, and Windows. Local installation suits users who want a desktop research environment, but those seeking browser-based access should look elsewhere.

Who it's for

Stata is best suited to researchers who need a broad range of statistical methods, serious data-management tools, scripted and reproducible work, and reporting in one application. Its academic Prof+ pricing is particularly relevant to eligible university faculty and staff. Users needing a free, browser-based point-and-click tool or a narrowly focused analysis package may find a lighter alternative more appropriate.

Pros and cons

• Pros: A wide methods set, from regression and survival analysis to Bayesian methods and machine learning, avoids splitting research across separate analysis products.
• Pros: Broad import, database connectivity, and report and graph exports support workflows from data preparation through publication outputs.
• Pros: Backward compatibility, extensive documentation, and community extensions help sustain and extend established projects.
• Cons: Prof+ prices require university faculty or staff eligibility and proof of affiliation, limiting access to those outside qualifying institutions.
• Cons: It is locally installed desktop software, not a browser service, so it is a poor fit for users who need SaaS access.
• Cons: The listed annual licenses are single-user; teams needing multiple seats must account for individual licenses.

Alternatives

Choose jamovi if a free browser-based option with point-and-click analyses powered by R and a module library is a better fit. R is a free software environment for readers who prefer that route. JASP suits readers seeking entirely free statistical software, provided their system is 64-bit and has at least 4 GB RAM and 4 GB free disk space. EViews is another option; its Academic Single-User License is 700.00 USD per month and requires current academic affiliation. gretl is a free, open-source alternative that can be redistributed and modified under the GNU GPL. XLSTAT is another freemium alternative. PAST is free and offers spreadsheet-style data entry, statistical analysis, and graphical analysis. GNU PSPP is a free alternative. Browse more options in Statistical Analysis Software.

Verdict

Choose Stata if your research depends on a broad, reproducible statistical workflow with capable data handling and reporting in one desktop application. Eligible university faculty and staff have a clear annual entry point at 175.00 USD per year for Prof+ BE; users who need browser access, free general access, or only a small set of methods should look elsewhere.