I hope everyone had a safe and healthy weekend.
I asked before, but in case anything changed or I missed new sources:
I’m looking for poverty and income data by race/ethnicity at the county level for New York State.
I can use s1701, poverty status in the past 12 months. But in that table, Black or African American, Asian, etc, all include Hispanic or Latino. The only non-Hispanic group is White alone, not Hispanic or Latino. Is there anywhere I can find poverty (and income) Black or African American not Hispanic or Latino, Asian not Hispanic or Latino, other groups not Hispanic or Latino?
Gene, I was hoping someone more knowledgeable than me might answer your question. I suspect there may be some way to get the information you want from means other than the top-level ACS reports, but I don't know how you would do that. In the meantime, you may want to use the B03002 report to assess if there are significant numbers of non-White Hispanics in each county.
Personally I think you’ll get a better race count by including Hispanics. An Asian Hispanic is indeed Asian and you’re missing some Asians if you don’t include them. But you can find what you’re asking for in tables named “Hispanic status by race” B03002 for instance.
You can get that data from the Selected Populations datasets. These come out every five years, the most recent for the 2011-2015 five year period. It allows you to select the race/ethnicity combinations of interest. It's possible certain counties will have data suppressed if there are not enough cases (I think there needs to be at least 50). You can select from a variety of detailed tables - here's the ratio of income to poverty (just sum those below 1.0 to get those in poverty): https://tinyurl.com/euam547j and here's one for income: https://tinyurl.com/tu7as94s So this dataset will get you what you want but the tradeoff is timeliness - I assume they'll be released next for 2016-2020 ACS.
Unfortunately, those are the only breakdowns available in the summary tables. For counties that are fully captured in a public use microdata area (PUMA), you could construct direct estimates using microdata from the Bureau or at ipums.org. Unfortunately, this is only a viable strategy for counties with large (>100K) populations.
For more information on PUMAS, see: https://www.census.gov/programs-surveys/geography/guidance/geo-areas/pumas.html