Function reference • getACS

Get American Community Survey (ACS) data and metadata

get_acs_tables() get_acs_geographies() get_acs_geography(): Get multiple tables or multiple geographies of ACS data

get_acs_ts(): Get multiple years of ACS data for time series analysis

vec_get_acs(): Vectorized variant of tidycensus::get_acs

Interpolate ACS data across areas

make_area_xwalk() use_area_xwalk(): Make and use crosswalk data based on U.S. Census block-level weights for U.S. Census tracts and non-Census geographic areas

make_block_xwalk(): Make crosswalk data for U.S. Census blocks and tracts

Format gt tables and ACS data frames

gt_acs(): Create a gt table with formatted ACS estimate and percent estimate columns

gt_acs_compare(): Create a gt table with values compared by name, geography, or other grouping variable

tab_acs_source_note(): Add a Census data source note to a gt table

fmt_acs_county() fmt_acs_minutes(): Format place names or column titles in a gt table or data frame with ACS data

fmt_acs_estimate() fmt_acs_percent() cols_label_ext(): Format estimate and margin of error columns in a gt table

fmt_acs_jam_values(): Format jam values in an estimate column of a gt table or ACS data frame

Apply labels and scales to ggplot2 plots

labs_acs_survey(): Label a ggplot2 plot and add a caption based on an ACS survey year

scale_x_acs_estimate() scale_y_acs_percent() scale_x_acs_percent() scale_y_acs_estimate() scale_x_acs_ts() scale_y_acs_ts(): Scales for plotting ACS data with ggplot2

Additional utility functions for ACS data

acs_survey_match() acs_survey_sample() acs_survey_ts() acs_survey_label() acs_survey_label_table(): Assorted helpers for ACS survey types and labels

acs_table_race_iteration(): Append a set of race iteration codes to an ACS table ID

acs_table_variables(): Convert an ACS table ID to a set of variable ID values

join_acs_geography_ratio(): Join ACS data from a single reference geography by variable to calculate a ratio value based on the reference geography data

join_acs_parent_column(): Join parent column titles to ACS data based on parent column ID values

join_acs_percent(): Join percent estimates to ACS data based on denominator values

collapse_acs_variables(): Collapse variables into a new label column using forcats::fct_collapse()

select_acs_cols(): Select columns from an ACS data frame using dplyr::select()

filter_acs(): Filter ACS data by table ID, variables, or other attributes using dplyr::filter()

load_acs_vars(): Load ACS variables with tidycensus::load_variables()

Reference data

race_iteration: Race or Latino Origin Table Codes

jam_values: ACS Jam Values for Medians

tigerweb_geo_index: U.S. Census Bureau ArcGIS Services Index