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:

• https://github.com/alarm-redist/tinytiger

• https://alarm-redist.org/tinytiger/

• 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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Value

sf data.frame

Examples

 # takes > 5 seconds
# Wrapped in try due to false positive 304 errors
try(tt_zcta()) # downloads slow on CRAN