fix #560 by converting vacant variables appropriately for 2022

walkerke · Mar 4, 2024 · f7769bb · f7769bb
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commit f7769bb
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diff --git a/DESCRIPTION b/DESCRIPTION
@@ -1,12 +1,12 @@
 Package: tidycensus
 Type: Package
 Title: Load US Census Boundary and Attribute Data as 'tidyverse' and 'sf'-Ready Data Frames
-Version: 1.6.1
+Version: 1.6.2
 Authors@R: c(
     person(given = "Kyle", family = "Walker", email="kyle@walker-data.com", role=c("aut", "cre")),
     person(given = "Matt", family = "Herman", email = "mfherman@gmail.com", role = "aut"),
     person(given = "Kris", family = "Eberwein", email = "eberwein@knights.ucf.edu", role = "ctb"))
-Date: 2024-01-26
+Date: 2024-03-04
 URL: https://walker-data.com/tidycensus/
 BugReports: https://github.com/walkerke/tidycensus/issues
 Description: An integrated R interface to several United States Census Bureau 

diff --git a/R/load_data.R b/R/load_data.R
@@ -1022,7 +1022,7 @@ load_data_pums_vacant <- function(variables, state, puma, key, year, survey,
 
   # for which years is data dictionary available in pums_variables?
   # we'll use this a couple times later on
-  recode_years <- 2017:2021
+  recode_years <- 2017:2022
 
   base <- sprintf("https://api.census.gov/data/%s/acs/%s/pums",
                   year, survey)