Reference Resource: “80s.NYC, An Online Collection of Street View Photos Taken in All Five Boroughs During the 1980s”
From Laughing Squid:
Programmer Brandon Liu and researcher Jeremy Lechtzin have created 80s.NYC, a really wonderful online collection of photos that show what all five boroughs of New York City looked like during the 1980s. [Images are now part of the NYC Municipal Archive].
The photos were taken as part of a bureaucratic process to ensure taxes were assessed properly. Liu and Letctzin organized these photos into an easily readable map that’s fun to explore.
From the 80s.NYC “About” Page
Do Photo Sets From Other Decades Exist?
Yes! At the end of the 1930s into the early 1940s, coordinated by the Federal Works Progress Administration, the City created its first set of “tax photos” – at that time, over 700,000 black & white 35mm photos of almost every building in New York. In some respects, this earlier photo set is more historically interesting – twice as old, and before the post-war construction boom (aided and abetted by Robert Moses) remade large swaths of the city.
However, only the 1980s photo set has been digitized.
Both sets have made their way from proprietary use by the Finance Department to the City’s public Municipal Archives in recent years. But even in 2017, to get access to the 1930s images, the intrepid researcher must make a trip to the Archives reference room in lower Manhattan.
Direct to 80s.NYC
About Gary Price
Gary Price (firstname.lastname@example.org) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com. Gary is also the co-founder of infoDJ an innovation research consultancy supporting corporate product and business model teams with just-in-time fact and insight finding.