| Title: | Lightweight Interface to TIGER/Line Shapefiles |
| Version: | 0.0.10 |
| Description: | Download geographic shapes from the United States Census Bureau TIGER/Line Shapefiles https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html. Functions support downloading and reading in geographic boundary data. All downloads can be set up with a cache to avoid multiple downloads. Data is available back to 2000 for most geographies. |
| License: | MIT + file LICENSE |
| Depends: | R (≥ 2.10) |
| Imports: | cli, glue, curl, sf |
| Suggests: | knitr, rappdirs, rmarkdown, testthat (≥ 3.0.0) |
| Encoding: | UTF-8 |
| RoxygenNote: | 7.3.2 |
| LazyData: | true |
| URL: | https://github.com/alarm-redist/tinytiger, https://alarm-redist.org/tinytiger/ |
| BugReports: | https://github.com/alarm-redist/tinytiger/issues |
| Config/testthat/edition: | 3 |
| VignetteBuilder: | knitr |
| NeedsCompilation: | no |
| Packaged: | 2025-04-30 00:52:23 UTC; chris |
| Author: | Christopher T. Kenny
 [aut, cre],
Cory McCartan [aut] |
| Maintainer: | Christopher T. Kenny <christopherkenny@fas.harvard.edu> |
| Repository: | CRAN |
| Date/Publication: | 2025-04-30 02:30:01 UTC |
tinytiger: Lightweight Interface to TIGER/Line Shapefiles
Description
Download geographic shapes from the United States Census Bureau TIGER/Line Shapefiles.
Details
By default, downloading will print status messages and/or a progress bar.
For silent downloads, set option(tinytiger.curl_quiet = TRUE).
Downloads will go to option(tinytiger.cache_dir) if it is set. If it is not,
and rappdirs is installed, downloads will be cached between sessions in
rappdirs::user_cache_dir("tinytiger").
If it is not installed, or if option(tinytiger.use_cache = FALSE), then the
cache will be in a temporary directory that does not persist between
sessions.
Author(s)
Maintainer: Christopher T. Kenny christopherkenny@fas.harvard.edu (ORCID)
Authors:
Cory McCartan cmccartan@g.harvard.edu
See Also
Useful links:
Report bugs at https://github.com/alarm-redist/tinytiger/issues
Counties FIPS 2020
Description
Contains three columns:
state: state FIPS
county: county FIPS
name: county name
Usage
data("county_fips_2020")
Value
tibble
Download TIGER shapes for Address Ranges
Description
Download TIGER shapes for Address Ranges
Usage
tt_address_ranges(state, county, year = 2024)
Arguments
state |
FIPS, postal codes, or full names of states. |
county |
FIPS codes or full names of counties. Optional. |
year |
Integer year. Required. 2000 and 2010-2022 are currently supported. |
Value
sf data.frame
Examples
# Wrapped in try due to false positive 304 errors
try(tt_address_ranges("DE", county = "001")) # downloads slow on CRAN
Download TIGER shapes for American Indian / Alaska Native / Native Hawaiian Areas
Description
Download TIGER shapes for American Indian / Alaska Native / Native Hawaiian Areas
Usage
tt_ai_an_nh_areas(year = 2024)
Arguments
year |
Integer year. Required. 2000 and 2010-2022 are currently supported. |
Value
sf data.frame
Examples
# Wrapped in try due to false positive 304 errors
try(tt_ai_an_nh_areas())
Download TIGER shapes for Alaska Native Regional Corporation (Alaska)
Description
Download TIGER shapes for Alaska Native Regional Corporation (Alaska)
Usage
tt_anrc(year = 2024)
Arguments
year |
Integer year. Required. 2000 and 2010-2022 are currently supported. |
Value
sf data.frame
Examples
# Wrapped in try due to false positive 304 errors
try(tt_anrc()) # downloads slow on CRAN
Download TIGER shapes for Area Landmarks
Description
Download TIGER shapes for Area Landmarks
Usage
tt_area_landmarks(state, year = 2024)
Arguments
state |
FIPS, postal codes, or full names of states. |
year |
Integer year. Required. 2000 and 2010-2022 are currently supported. |
Value
sf data.frame
Examples
# Wrapped in try due to false positive 304 errors
try(tt_area_landmarks("DE")) # downloads slow on CRAN
Download TIGER Shapes for Area Water
Description
Download TIGER Shapes for Area Water
Usage
tt_area_water(state, county, year = 2024)
Arguments
state |
FIPS, postal codes, or full names of states. |
county |
FIPS codes or full names of counties. Optional. |
year |
Integer year. Required. 2000 and 2010-2022 are currently supported. |
Value
sf data.frame
Examples
# Wrapped in try due to false positive 304 errors
try(tt_area_water("DE")) # downloads slow on CRAN
Download TIGER shapes for block groups
Description
Download TIGER shapes for block groups
Usage
tt_block_groups(state, county, year = 2024)
Arguments
state |
FIPS, postal codes, or full names of states. |
county |
FIPS codes or full names of counties. Optional. |
year |
Integer year. Required. 2000 and 2010-2022 are currently supported. |
Value
sf data.frame
Examples
# Wrapped in try due to false positive 304 errors
try(tt_block_groups(state = "DE", county = "001")) # downloads slow on CRAN
Download TIGER shapes for blocks
Description
Download TIGER shapes for blocks
Usage
tt_blocks(state, county, year = 2024)
Arguments
state |
FIPS, postal codes, or full names of states. |
county |
FIPS codes or full names of counties. Optional. |
year |
Integer year. Required. 2000 and 2010-2022 are currently supported. |
Value
sf data.frame
Examples
# Wrapped in try due to false positive 304 errors
try(tt_blocks(state = "DE", county = "001"))
Work with the the tinytiger cache
Description
Functions to inspect and clear the cache. If the cache is not enabled, uses a temporary directory.
Usage
tt_cache_size()
tt_cache_clear(force = FALSE)
tt_cache_path()
Arguments
force |
FALSE by default. Asks the user to confirm if interactive. Does not clear cache if force is FALSE and not interactive. |
Value
For tt_cache_size(), tthe size in bytes, invisbly
For tt_cache_clear(), the path to the cache, invisbly.
For tt_cache_path(), the path to the cache
Examples
tt_cache_size()
tt_cache_clear()
tt_cache_path()
Download TIGER shapes for Core Based Statistical Areas
Description
Download TIGER shapes for Core Based Statistical Areas
Usage
tt_cbsa(year = 2021)
Arguments
year |
Integer year. Required. 2000 and 2010-2022 are currently supported. |
Value
sf data.frame
Examples
# takes > 5 seconds
# Wrapped in try due to false positive 304 errors
try(tt_cbsa()) # downloads slow on CRAN
Download TIGER shapes for Coastlines
Description
Download TIGER shapes for Coastlines
Usage
tt_coastline(year = 2024)
Arguments
year |
Integer year. Required. 2000 and 2010-2022 are currently supported. |
Value
sf data.frame
Examples
# takes > 5 seconds
# Wrapped in try due to false positive 304 errors
try(tt_coastline()) # downloads slow on CRAN
Download TIGER shapes for congressional districts
Description
Download TIGER shapes for congressional districts
Usage
tt_congressional_districts(state, year = 2024)
Arguments
state |
FIPS, postal codes, or full names of states. |
year |
Integer year. Required. 2000 and 2010-2022 are currently supported. |
Value
sf data.frame
Examples
# takes > 5 seconds
# Wrapped in try due to false positive 304 errors
try(tt_congressional_districts()) # downloads slow on CRAN
Download TIGER shapes for Public Use Microdata Areas
Description
Download TIGER shapes for Public Use Microdata Areas
Usage
tt_consolidated_cities(state, year = 2024)
Arguments
state |
FIPS, postal codes, or full names of states. |
year |
Integer year. Required. 2000 and 2010-2022 are currently supported. |
Value
sf data.frame
Examples
# Wrapped in try due to false positive 304 errors
try(tt_consolidated_cities("CT")) # downloads slow on CRAN
Download TIGER shapes for counties
Description
Download TIGER shapes for counties
Usage
tt_counties(state, year = 2024)
Arguments
state |
FIPS, postal codes, or full names of states. |
year |
Integer year. Required. 2000 and 2010-2022 are currently supported. |
Value
sf data.frame
Examples
# takes > 5 seconds
# Wrapped in try due to false positive 304 errors
try(tt_counties(state = "DE")) # downloads slow on CRAN
Download TIGER shapes for County Subdivisions
Description
Download TIGER shapes for County Subdivisions
Usage
tt_county_subdivisions(state, year = 2024)
Arguments
state |
FIPS, postal codes, or full names of states. |
year |
Integer year. Required. 2000 and 2010-2022 are currently supported. |
Value
sf data.frame
Examples
# Wrapped in try due to false positive 304 errors
try(tt_county_subdivisions("DE")) # downloads slow on CRAN
Download TIGER shapes for Combined Statistical Area
Description
Download TIGER shapes for Combined Statistical Area
Usage
tt_csa(year = 2021)
Arguments
year |
Integer year. Required. 2000 and 2010-2022 are currently supported. |
Value
sf data.frame
Examples
# Wrapped in try due to false positive 304 errors
try(tt_csa())
Download TIGER shapes for Elementary School Districts
Description
Download TIGER shapes for Elementary School Districts
Usage
tt_elementary_school_districts(state, year = 2024)
Arguments
state |
FIPS, postal codes, or full names of states. |
year |
Integer year. Required. 2000 and 2010-2022 are currently supported. |
Value
sf data.frame
Examples
# Wrapped in try due to false positive 304 errors
try(tt_elementary_school_districts("AZ")) # downloads slow on CRAN
Download TIGER shapes for Estates (US Virgin Islands)
Description
Download TIGER shapes for Estates (US Virgin Islands)
Usage
tt_estates(year = 2024)
Arguments
year |
Integer year. Required. 2000 and 2010-2022 are currently supported. |
Value
sf data.frame
Examples
# Wrapped in try due to false positive 304 errors
try(tt_estates()) # downloads slow on CRAN
Download TIGER Shapes for Linear Water
Description
Download TIGER Shapes for Linear Water
Usage
tt_linear_water(state, county, year = 2024)
Arguments
state |
FIPS, postal codes, or full names of states. |
county |
FIPS codes or full names of counties. Optional. |
year |
Integer year. Required. 2000 and 2010-2022 are currently supported. |
Value
sf data.frame
Examples
# Wrapped in try due to false positive 304 errors
try(tt_linear_water("DE")) # downloads slow on CRAN
Download TIGER shapes for Metropolitan Divisions
Description
Download TIGER shapes for Metropolitan Divisions
Usage
tt_metropolitan_divisions(year = 2021)
Arguments
year |
Integer year. Required. 2000 and 2010-2022 are currently supported. |
Value
sf data.frame
Examples
# Wrapped in try due to false positive 304 errors
try(tt_metropolitan_divisions()) # downloads slow on CRAN
Download TIGER shapes for Military Installations
Description
Download TIGER shapes for Military Installations
Usage
tt_military(year = 2024)
Arguments
year |
Integer year. Required. 2000 and 2010-2022 are currently supported. |
Value
sf data.frame
Examples
# Wrapped in try due to false positive 304 errors
try(tt_military()) # downloads slow on CRAN
Download TIGER shapes for New England City and Town Area
Description
Download TIGER shapes for New England City and Town Area
Usage
tt_new_england_cities(year = 2024)
Arguments
year |
Integer year. Required. 2000 and 2010-2022 are currently supported. |
Value
sf data.frame
Examples
# Wrapped in try due to false positive 304 errors
try(tt_new_england_cities()) # downloads slow on CRAN
Download TIGER shapes for New England City and Town Area Divisions
Description
Download TIGER shapes for New England City and Town Area Divisions
Usage
tt_new_england_city_divisions(year = 2021)
Arguments
year |
Integer year. Required. 2000 and 2010-2022 are currently supported. |
Value
sf data.frame
Examples
# Wrapped in try due to false positive 304 errors
try(tt_new_england_city_divisions()) # downloads slow on CRAN
Download TIGER shapes for New England Combined City and Town Areas
Description
Download TIGER shapes for New England Combined City and Town Areas
Usage
tt_new_england_combined_areas(year = 2021)
Arguments
year |
Integer year. Required. 2000 and 2010-2022 are currently supported. |
Value
sf data.frame
Examples
# Wrapped in try due to false positive 304 errors
try(tt_new_england_combined_areas()) # downloads slow on CRAN
Download TIGER shapes for Places
Description
Download TIGER shapes for Places
Usage
tt_places(state, year = 2024)
Arguments
state |
FIPS, postal codes, or full names of states. |
year |
Integer year. Required. 2000 and 2010-2022 are currently supported. |
Value
sf data.frame
Examples
# Wrapped in try due to false positive 304 errors
try(tt_places("DE")) # downloads slow on CRAN
Download TIGER shapes for Point Landmarks
Description
Download TIGER shapes for Point Landmarks
Usage
tt_point_landmarks(state, year = 2024)
Arguments
state |
FIPS, postal codes, or full names of states. |
year |
Integer year. Required. 2000 and 2010-2022 are currently supported. |
Value
sf data.frame
Examples
# Wrapped in try due to false positive 304 errors
try(tt_point_landmarks("DE")) # downloads slow on CRAN
Download TIGER shapes for Polygon Edges
Description
Download TIGER shapes for Polygon Edges
Usage
tt_polygon_edges(state, county, year = 2024)
Arguments
state |
FIPS, postal codes, or full names of states. |
county |
FIPS codes or full names of counties. Optional. |
year |
Integer year. Required. 2000 and 2010-2022 are currently supported. |
Value
sf data.frame
Examples
# Wrapped in try due to false positive 304 errors
try(tt_polygon_edges("DE", county = "001")) # downloads slow on CRAN
Download TIGER shapes for Polygon Faces
Description
Download TIGER shapes for Polygon Faces
Usage
tt_polygon_faces(state, county, year = 2024)
Arguments
state |
FIPS, postal codes, or full names of states. |
county |
FIPS codes or full names of counties. Optional. |
year |
Integer year. Required. 2000 and 2010-2022 are currently supported. |
Value
sf data.frame
Examples
# Wrapped in try due to false positive 304 errors
try(tt_polygon_faces("DE", county = "001")) # downloads slow on CRAN
Download TIGER shapes for Primary Roads
Description
Download TIGER shapes for Primary Roads
Usage
tt_primary_roads(year = 2024)
Arguments
year |
Integer year. Required. 2000 and 2010-2022 are currently supported. |
Value
sf data.frame
Examples
# takes > 5 seconds
# Wrapped in try due to false positive 304 errors
try(tt_primary_roads()) # downloads slow on CRAN
Download TIGER shapes for Primary and Secondary Roads
Description
Download TIGER shapes for Primary and Secondary Roads
Usage
tt_primary_secondary_roads(state, year = 2024)
Arguments
state |
FIPS, postal codes, or full names of states. |
year |
Integer year. Required. 2000 and 2010-2022 are currently supported. |
Value
sf data.frame
Examples
# Wrapped in try due to false positive 304 errors
try(tt_primary_secondary_roads("DE")) # downloads slow on CRAN
Download TIGER shapes for Public Use Microdata Areas
Description
Download TIGER shapes for Public Use Microdata Areas
Usage
tt_puma(state, year = 2024)
Arguments
state |
FIPS, postal codes, or full names of states. |
year |
Integer year. Required. 2000 and 2010-2022 are currently supported. |
Value
sf data.frame
Examples
# Wrapped in try due to false positive 304 errors
try(tt_puma("DE")) # downloads slow on CRAN
Download TIGER shapes for Rails
Description
Download TIGER shapes for Rails
Usage
tt_rails(year = 2024)
Arguments
year |
Integer year. Required. 2000 and 2010-2022 are currently supported. |
Value
sf data.frame
Examples
# takes > 5 seconds
# Wrapped in try due to false positive 304 errors
try(tt_rails()) # downloads slow on CRAN
Download TIGER shapes for Roads
Description
Download TIGER shapes for Roads
Usage
tt_roads(state, county, year = 2024)
Arguments
state |
FIPS, postal codes, or full names of states. |
county |
FIPS codes or full names of counties. Optional. |
year |
Integer year. Required. 2000 and 2010-2022 are currently supported. |
Value
sf data.frame
Examples
# Wrapped in try due to false positive 304 errors
try(tt_roads("DE")) # downloads slow on CRAN
Download TIGER shapes for Secondary School Districts
Description
Download TIGER shapes for Secondary School Districts
Usage
tt_secondary_school_districts(state, year = 2024)
Arguments
state |
FIPS, postal codes, or full names of states. |
year |
Integer year. Required. 2000 and 2010-2022 are currently supported. |
Value
sf data.frame
Examples
# Wrapped in try due to false positive 304 errors
try(tt_secondary_school_districts("AZ")) # downloads slow on CRAN
Download TIGER shapes for lower state legislative districts
Description
Download TIGER shapes for lower state legislative districts
Usage
tt_state_leg_lower(state, year = 2024)
Arguments
state |
FIPS, postal codes, or full names of states. |
year |
Integer year. Required. 2000 and 2010-2022 are currently supported. |
Value
sf data.frame
Examples
# Wrapped in try due to false positive 304 errors
try(tt_state_leg_lower("DE")) # downloads slow on CRAN
Download TIGER shapes for upper state legislative districts
Description
Download TIGER shapes for upper state legislative districts
Usage
tt_state_leg_upper(state, year = 2024)
Arguments
state |
FIPS, postal codes, or full names of states. |
year |
Integer year. Required. 2000 and 2010-2022 are currently supported. |
Value
sf data.frame
Examples
# Wrapped in try due to false positive 304 errors
try(tt_state_leg_lower("DE")) # downloads slow on CRAN
Download TIGER shapes for states
Description
Download TIGER shapes for states
Usage
tt_states(year = 2024)
Arguments
year |
Integer year. Required. 2000 and 2010-2022 are currently supported. |
Value
sf data.frame
Examples
# Wrapped in try due to false positive 304 errors
try(tt_states())
Download TIGER shapes for Subbarrios (Puerto Rico)
Description
Download TIGER shapes for Subbarrios (Puerto Rico)
Usage
tt_subbarrios(year = 2024)
Arguments
year |
Integer year. Required. 2000 and 2010-2022 are currently supported. |
Value
sf data.frame
Examples
# Wrapped in try due to false positive 304 errors
try(tt_subbarrios()) # downloads slow on CRAN
Download TIGER shapes for tracts
Description
Download TIGER shapes for tracts
Usage
tt_tracts(state, county, year = 2024)
Arguments
state |
FIPS, postal codes, or full names of states. |
county |
FIPS codes or full names of counties. Optional. |
year |
Integer year. Required. 2000 and 2010-2022 are currently supported. |
Value
sf data.frame
Examples
# Wrapped in try due to false positive 304 errors
try(tt_tracts(state = "DE", county = "001")) # downloads slow on CRAN
Download TIGER shapes for Tribal Block Groups
Description
Download TIGER shapes for Tribal Block Groups
Usage
tt_tribal_block_groups(year = 2024)
Arguments
year |
Integer year. Required. 2000 and 2010-2022 are currently supported. |
Value
sf data.frame
Examples
# Wrapped in try due to false positive 304 errors
try(tt_tribal_block_groups())
Download TIGER shapes for American Indian Tribal Subdivision National
Description
Download TIGER shapes for American Indian Tribal Subdivision National
Usage
tt_tribal_subdivisions(year = 2024)
Arguments
year |
Integer year. Required. 2000 and 2010-2022 are currently supported. |
Value
sf data.frame
Examples
# Wrapped in try due to false positive 304 errors
try(tt_tribal_subdivisions())
Download TIGER shapes for Tribal Tracts
Description
Download TIGER shapes for Tribal Tracts
Usage
tt_tribal_tracts(year = 2024)
Arguments
year |
Integer year. Required. 2000 and 2010-2022 are currently supported. |
Value
sf data.frame
Examples
# Wrapped in try due to false positive 304 errors
try(tt_tribal_tracts())
Download TIGER shapes for Urban Area
Description
Download TIGER shapes for Urban Area
Usage
tt_uac(year = 2024)
Arguments
year |
Integer year. Required. 2000 and 2010-2022 are currently supported. |
Value
sf data.frame
Examples
# takes > 5 seconds
# Wrapped in try due to false positive 304 errors
try(tt_uac()) # downloads slow on CRAN
Download TIGER shapes for Unified School Districts
Description
Download TIGER shapes for Unified School Districts
Usage
tt_unified_school_districts(state, year = 2024)
Arguments
state |
FIPS, postal codes, or full names of states. |
year |
Integer year. Required. 2000 and 2010-2022 are currently supported. |
Value
sf data.frame
Examples
# Wrapped in try due to false positive 304 errors
try(tt_unified_school_districts("DE")) # downloads slow on CRAN
Download TIGER shapes for Voting Districts
Description
Download TIGER shapes for Voting Districts
Usage
tt_voting_districts(state, county, year = 2024)
Arguments
state |
FIPS, postal codes, or full names of states. |
county |
FIPS codes or full names of counties. Optional. |
year |
Integer year. Required. 2000 and 2010-2022 are currently supported. |
Value
sf data.frame
Examples
# Wrapped in try due to false positive 304 errors
try(tt_voting_districts("DE", county = "001")) # downloads slow on CRAN
Download TIGER shapes for Zip Code Tabulation Areas
Description
Download TIGER shapes for Zip Code Tabulation Areas
Usage
tt_zcta(year = 2024)
Arguments
year |
Integer year. Required. 2000 and 2010-2022 are currently supported. |
Value
sf data.frame
Examples
# takes > 5 seconds
# Wrapped in try due to false positive 304 errors
try(tt_zcta()) # downloads slow on CRAN