Unemployment Rate by Census Tract

That's a measure you'd have to calculate yourself.
table B23025: Unemployed / table B23025: In Labor Force

Good luck.

Yikes! I see what you mean.  I think I will leave it out of my project and stick with what I have.  Thanks!

PolicyMap has this pre-baked, if you have access to it: https://plcy.mp/H3XG8Vw

Thanks Bernie.  Unfortunately PolicyMap will not let me signup.  

Hi Robin. I work at PolicyMap and would be happy to help you sign up and subscribe. Feel free to message me directly!

In the meantime, if you would like to explore the unemployment data by census tract, our latest mapping platform (which we are just in the process of releasing) will let you see the values without needing to sign in: https://www.policymap.com/newmaps#/. To find the unemployment data you can either search in the data search bar or go to the Economy Menu > Employment and Unemployment > Unemployment > Census ACS Civilians Unemployed. The shortcut link that Bernie posted above sends you to our old platform which is still accurate but lacks some of the new features.

Found it!  Thank you so much!

Hello Lauren, may I ask where did you get this cbg level unemployment data? I'm trying to find the unemployment data from 2019 to 2020, but seems the newest data in your link is 2019. Thanks!

I'm looking in PolicyMap but can only see down to the city level data. Am I missing something? 

Never mind, I was looking at the BLS data instead of the ACS data. My bad. 

Never mind, I was looking at the BLS data instead of the ACS data. My bad. 

Just a heads up...
The Unemployment Rate from the ACS will be a five-year average if you're looking at tracts, or any other level smaller than mid-size cities.  Even for the larger cities, counties and metros, the data is a couple of years old by the time it's published.  For something as time-critical as  the unemployment rate, this may be meaningless for your purpose.
For the most recent job stats (incl unemployment rate) use the BLS :LAUS, and it will be only about two months old.  The downside is the smallest geography is all counties and many mid-size cities.

Thanks for the info Bert. For the work I'm doing the tract level is more important than the age of the data. We're looking at improving neighborhood outcomes and the five-year average data should be fine to help identify high priority areas. 

Sounds good, Marshall.  In this case, the spatial is more important than the temporal.