Tidycensus

* `get_acs()` now defaults to `year = 2019`, meaning that 2015-2019 5-year estimates and 2019 1-year estimates are retrieved if no year is specified.
* `get_estimates()` now also defaults to `year = 2019`.
* tidycensus can once again access the 2000 Summary File 3 in `get_decennial()` as the Census Bureau has restored its API endpoint.
* Various bug fixes and internal improvements; browse [the GitHub issues](https://github.com/walkerke/tidycensus/issues) for a complete listing.

* tidycensus now includes functionality to download and analyze data from the [American Community Survey Public Use Microdata Series (PUMS) datasets](https://www.census.gov/programs-surveys/acs/microdata.html). [Read through the corresponding documentation to learn how to use these features.](https://walker-data.com/tidycensus/articles/pums-data.html)
* tidycensus cannot access 1990 data or 2000 Summary File 3 data due to the removal of these API endpoints by the Census Bureau. When new endpoints for these years are added, tidycensus will support them again in a future release.

* `geometry = TRUE` now works for all geographies currently available in tidycensus.
* `get_acs()` can now support the ACS Supplemental Estimates API.

* `get_acs()` now defaults to the 2014-2018 five-year American Community Survey estimates, or the 2018 1-year estimates if users set `survey = "acs1"`.
* Various improvements and bug fixes (largely thanks to Matt Herman's contributions).

* tidycensus now includes support for the Census Bureau Population Estimates API. Please see https://walkerke.github.io/tidycensus/articles/other-datasets.html for examples of how to use these new features.

* Important internal changes to ensure that tidycensus continues to work with upcoming changes to Census API endpoints.

* Several internal improvements and bug fixes. Please see the closed issues at https://github.com/walkerke/tidycensus/issues for a list.

* Bug fixed that was causing GEOIDs for some states to be converted to NA on certain Linux platforms

* A new parameter, `shift_geo`, allows tidycensus users to get US state and county geometry originally obtained with the __albersusa__ R package with Alaska and Hawaii shifted and re-scaled for better cartographic display of the entire US.

r
library(tidycensus)
library(tidyverse)
library(viridis)

us_county_income <- get_acs(geography = "county", variables = "B19013_001",
shift_geo = TRUE, geometry = TRUE)

ggplot(us_county_income) +
geom_sf(aes(fill = estimate), color = NA) +
coord_sf(datum = NA) +
theme_minimal() +
scale_fill_viridis_c()