Skip to main content

Annualized Data Downloads

About Annualized Data Tables

PatentsView, through the USPTO Office of the Chief Economist, is pleased to release annual datasets for exploring patents and their inventors and companies. The annual datasets  are constructed from PatentsView bulk download tables and provided in small, easy to manipulate csv files. Each yearly data table provides information about the inventors and company(ies) associated with patents granted that year, including the gender of inventors generated by our gender attribution algorithm.

The data dictionary for the annual files below is linked here. The March 2023 release is accompanied by this tutorial document for how the datasets were generated and how researchers may begin using them. 

Annualized Data Tables
2022 2021 2020 2019 2018
2017 2016 2015 2014 2013
2012 2011 2010 2009 2008
2007 2006 2005 2004 2003
2002 2001 2000 1999 1998
1997 1996 1995 1994 1993
1992 1991 1990 1989 1988
1987 1986 1985 1984 1983
1982 1981 1980 1979 1978
1977 1976 Missing Grant Years (year_missing) Archived data dictionary to historic annualized data files

Additional Data Information

The PatentsView database is created from the U.S. Patent and Trademark Office (USPTO) public bulk data releases available at These data releases provide information on published patent applications (since 2001) and granted patents (since 1976). The PatentsView database for patents is available for download upon request, MySQL dump. The PatentsView database for  published applications contains pre-grant publications (PGPub) of patent applications (see MPEP § 1120) and is available in the top row of data in the table above. At this time, the published applications database does not contain the earliest years (2001-2005) of data or any of the disambiguation results.

For more information, visit the Methods and Sources section of the website.

This work was created through a government contract funded by the Office of Chief Economist in the US Patent and Trademark Office. Users are free to use, share, or adapt the material for any purpose, subject to the standards of the Creative Commons Attribution 4.0 International License (

Attribution should be given to PatentsView ( for use, distribution, or derivative works.