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Stat/Transfer moves data between worksheets, databases and statistical programs

Stat/Transfer provides fast, reliable, and convenient data transfer between statistical packages, databases, and spreadsheets for thousands of users worldwide. Stat/Transfer makes the job easy because it knows about statistical data – it handles missing data, value and variable labels, and all of the other small details, allowing you to move as much information as possible from one file format to another.

  • Accurate
    Moves your data from one program to another with no loss of precision.
  • Trustworthy
    Leading researchers, universities, government agencies, and software developers use stat/Transfer.
  • Fast
    Most transfer operations take a few seconds and a few mouse clicks.
  • Easy to Use
    Fast transfers aren’t fast if you spend time puzzling over how to set them up.
  • Reproducible
    Stat/Transfer can automatically write a program that reproduces your transfer.

Stat/Transfer provides an easy-to-use menu interface and a powerful batch facility. Whether you are moving a simple table from Excel to SAS or moving megabytes of survey data between statistical packages, it will save you time and money.


What is Stat/Transfer?

Stat/Transfer OEM Customers


Stat/Transfer moves your data from one program to another with no loss of precision while producing the smallest datasets possible. Your metadata – value labels, variable labels and missing values – are accurately and effortlessly transformed.


Most transfer operations take a few seconds and a few mouse clicks. Of course, you could use other tools to do what Stat/Transfer does, but it would take you hours, days, and even weeks of effort to duplicate what Stat/Transfer does in a few seconds. What is your time worth?

Easy to Use

Fast transfers aren’t fast if you spend time debating how to set them up. With Stat/Transfer’s intuitive user interface, most transfers can be performed with only a few mouse clicks. For more complicated operations, context-sensitive help is a click away. It is designed from top to bottom to save you valuable time.


With Stat/Transfer, you can produce just the output you need. It is easy to select variables, cases, and data types. A variety of options (all with sensible defaults) allow you to tailor your transfer to meet your current and future needs.


Stat/Transfer can automatically produce a log documenting your transfer operations. It can also produce a command processor file that will enable you to re-run the transfer with just a few clicks. Because this program reflects the entire state of your options settings and all other information entered in the user interface, it allows you to document your data transfer thoroughly.


New features in Stat/Transfer 17

New formats

  • SAS Version 8 Transport Files
  • Parquet Files (Writing)
  • R Tibbles (writing) for improved support of value and variable labels
  • R single object (RDS) files (Writing)
  • JSON-stat V2 Datasets (Reading)
  • Minitab 20 Project (MPX) files (Reading)
  • Minitab 20 Worksheet (MWX) files (Reading)
  • Statistica 12-14
  • Data Documentation Initiative (DDI) Codebooks and Data

There is new support for reading Matlab date and time string classes, UTF16 character vectors, and matrices (cell arrays that contain character and numeric variables).

Platform support

Stat/Transfer is now shipping with native support for Mac M1 processors and the latest versions of OS-X. Windows 11 is fully supported.

New features in Stat/Transfer 16

New formats

Stat/Transfer version 16 supports the following new formats:

  • Reading SPSS syntax files and ASCII data
  • Reading SAS program files and ASCII data
  • Reading and Writing Minitab 19 project and worksheet files
  • Reading the latest Statistica versions.
  • Reading R single object (.rds) files
  • Reading Apache Big Data through ODBC drivers for:
    – Drill
    – Hive
    – Impala
    – Parquet

New Features in Stat/Transfer 16

  • Very easy-to-use, Stata-style date and time input masks for reading ASCII data
  • Localized month names for reading non-English dates
  • Improved support for extended missing values
  • Increased user control over dataset optimization
  • Increased user control over the handling of newlines in ASCII data
  • Support of user-missing values in Statistica

New Platform Support

Stat/Transfer is now shipping with native support for Mac M1 processors and full support for Big Sur and Monterey. Windows 11 is fully supported.

What’s new in Stat/Transfer 15

Formats in Stat/Transfer 15

Stat/Transfer version 15 supports the following new formats:

  • Feather (The fast R and Python file format)
  • Minitab project files (Reading)
  • R tables (Reading)
  • R Version 3+ (Reading)
  • R compressed binary (Writing)
  • Stata Version 16

Mac Catalina Support

Full support of Catalina with code notarization and 64-bit support. Versions of Stat/Transfer earlier than 15 are problematic on this new OS.

Production Licensing

Stat/Transfer is now available on web servers, SaaS environments, and repetitive batch processes. Consult our sales department for information on product licensing.

What’s new in Stat/Transfer 14


Stat/Transfer Version 14 has added support for the following formats:

  • Stata 15- 16/MP
  • BayesiaLab (Write Only)
  • JSON-Stat (Read Only)

Extended Attribute Support

Variable- and File-level metadata are now supported for reading and writing from the following formats:

  • Stata 15- 16/MP
  • SAS (extended attributes)
  • Stata (characteristics)
  • JMP (attributes)
  • ASCII – Stat/Transfer Schemas

Enhanced SAS Support

  • Value Labels can now be written directly to native Windows SAS catalogue files (sas7cat)
  • Optional control over the date, time and date-time formats used for writing.
  • All SAS date and time formats are recognized on reading.
  • Labels for SAS extended missing values are now supported.

Other New Features in Stat/Transfer 14

  • Directory recursion is now available in the wildcard copy command
  • Extra variables can be created from the sheet name when combining worksheets
  • Extra string variables can be created from value labels when writing to delimited ASCII, described by a schema. These can then be read back in any format.
  • Much faster read of R files.
  • Postgres support in ODBC.

Larger Limits

  • Excel Files > 4 GB
  • SAS files > 32K variables
  • Stata Files > 32K variables
  • dBASE > 2GB


Stata/Transfer system requirements


  • Intel or AMD x86-64 processor
  • 20 MB of free disk space
  • At least a 1024*786 display


  • Windows XP, 7, 8, 10 and 11
  • 64 or 32 bit
  • Intel or AMD x86 processor
  • 25 MB of free disk space
  • At least a 1024*786 display

Apple Mac OS

  • Apple Mac OS 10.10 or higher, 11 or 12.
  • Intel or Apple M1 processor
  • 20 MB of free disk space
  • At least a 1024*786 display


  • 64 bit
  • Kernel 4.1 or higher
  • glibc 2.19 or higher
  • gtk 2.24 or higher

Supported Data Formats



  • Einzelbenutzerlizenzen
  • Lautstärke/Mehrbenutzer
  • Gleichzeitiges/Floating-Netzwerk (Simus)
  • Standort- oder abteilungsweite Lizenzen


Stat/Transfer support

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