When working with U.S. Regional data, geographies can be confusing. For instance, the below list of all Census geographies is given below, from this website.
Code
data <-"https://walkerke.github.io/tidycensus/articles/basic-usage.html"%>% read_html %>%html_table(header =TRUE, fill =TRUE)data[[1]] %>% as.tibble %>% {if (is_html_output()) datatable(., filter ='top', rownames = F) else .}