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tinytiger is to provide a lightweight interface to the
US
Census Bureau’s TIGER/Line Shapefiles. It has four dependencies
other than sf. Download caching is supported; see below for details.
Install tinytiger from CRAN with:
install.packages("tinytiger")You can also install the development version of
tinytiger:
remotes::install_github("alarm-redist/tinytiger")tinytiger provides lightweight functions to download
Census Bureau TIGER/Line Shapefiles. To download a geography, simply use
the function corresponding to one of the supported geographies.
library(tinytiger)
tt_counties("NY")
#> Simple feature collection with 62 features and 18 fields
#> Geometry type: MULTIPOLYGON
#> Dimension: XY
#> Bounding box: xmin: -79.76259 ymin: 40.47658 xmax: -71.77749 ymax: 45.01586
#> Geodetic CRS: NAD83
#> STATEFP COUNTYFP COUNTYNS GEOID GEOIDFQ NAME
#> 53 36 123 00974159 36123 0500000US36123 Yates
#> 241 36 039 00974118 36039 0500000US36039 Greene
#> 248 36 043 00974120 36043 0500000US36043 Herkimer
#> 406 36 081 00974139 36081 0500000US36081 Queens
#> 682 36 097 00974146 36097 0500000US36097 Schuyler
#> 699 36 067 00974132 36067 0500000US36067 Onondaga
#> 731 36 025 00974111 36025 0500000US36025 Delaware
#> 744 36 051 00974124 36051 0500000US36051 Livingston
#> 1072 36 113 00974154 36113 0500000US36113 Warren
#> 1127 36 005 00974101 36005 0500000US36005 Bronx
#> 1180 36 107 00974151 36107 0500000US36107 Tioga
#> 1208 36 083 00974140 36083 0500000US36083 Rensselaer
#> 1233 36 059 00974128 36059 0500000US36059 Nassau
#> 1320 36 101 00974148 36101 0500000US36101 Steuben
#> 1350 36 001 00974099 36001 0500000US36001 Albany
#> 1382 36 099 00974147 36099 0500000US36099 Seneca
#> 1491 36 041 00974119 36041 0500000US36041 Hamilton
#> 1512 36 055 00974126 36055 0500000US36055 Monroe
#> 1579 36 069 00974133 36069 0500000US36069 Ontario
#> 1636 36 037 00974117 36037 0500000US36037 Genesee
#> 1662 36 029 00974113 36029 0500000US36029 Erie
#> 1848 36 019 00974108 36019 0500000US36019 Clinton
#> 1902 36 027 00974112 36027 0500000US36027 Dutchess
#> 1913 36 077 00974137 36077 0500000US36077 Otsego
#> 2017 36 049 00974123 36049 0500000US36049 Lewis
#> 2043 36 119 00974157 36119 0500000US36119 Westchester
#> 2077 36 105 00974150 36105 0500000US36105 Sullivan
#> 2086 36 023 00974110 36023 0500000US36023 Cortland
#> 2130 36 091 00974143 36091 0500000US36091 Saratoga
#> 2138 36 003 00974100 36003 0500000US36003 Allegany
#> 2213 36 017 00974107 36017 0500000US36017 Chenango
#> 2313 36 075 00974136 36075 0500000US36075 Oswego
#> 2320 36 111 00974153 36111 0500000US36111 Ulster
#> 2331 36 089 00977309 36089 0500000US36089 St. Lawrence
#> 2373 36 095 00974145 36095 0500000US36095 Schoharie
#> 2375 36 007 00974102 36007 0500000US36007 Broome
#> 2438 36 085 00974141 36085 0500000US36085 Richmond
#> 2456 36 047 00974122 36047 0500000US36047 Kings
#> 2480 36 053 00974125 36053 0500000US36053 Madison
#> 2481 36 115 00974155 36115 0500000US36115 Washington
#> 2484 36 103 00974149 36103 0500000US36103 Suffolk
#> 2558 36 065 00974131 36065 0500000US36065 Oneida
#> 2619 36 011 00974104 36011 0500000US36011 Cayuga
#> 2636 36 073 00974135 36073 0500000US36073 Orleans
#> 2653 36 057 00974127 36057 0500000US36057 Montgomery
#> 2680 36 035 00974116 36035 0500000US36035 Fulton
#> 2701 36 015 00974106 36015 0500000US36015 Chemung
#> 2702 36 121 00974158 36121 0500000US36121 Wyoming
#> 2754 36 045 00974121 36045 0500000US36045 Jefferson
#> 2763 36 087 00974142 36087 0500000US36087 Rockland
#> 2789 36 061 00974129 36061 0500000US36061 New York
#> 2795 36 021 00974109 36021 0500000US36021 Columbia
#> 2830 36 009 00974103 36009 0500000US36009 Cattaraugus
#> 2937 36 033 00974115 36033 0500000US36033 Franklin
#> 2956 36 031 00974114 36031 0500000US36031 Essex
#> 2974 36 071 00974134 36071 0500000US36071 Orange
#> 2975 36 093 00974144 36093 0500000US36093 Schenectady
#> 2985 36 013 00974105 36013 0500000US36013 Chautauqua
#> 3050 36 117 00974156 36117 0500000US36117 Wayne
#> 3054 36 063 00974130 36063 0500000US36063 Niagara
#> 3111 36 079 00974138 36079 0500000US36079 Putnam
#> 3168 36 109 00974152 36109 0500000US36109 Tompkins
#> NAMELSAD LSAD CLASSFP MTFCC CSAFP CBSAFP METDIVFP FUNCSTAT
#> 53 Yates County 06 H1 G4020 <NA> <NA> <NA> A
#> 241 Greene County 06 H1 G4020 <NA> <NA> <NA> A
#> 248 Herkimer County 06 H1 G4020 <NA> 46540 <NA> A
#> 406 Queens County 06 H6 G4020 408 35620 35614 C
#> 682 Schuyler County 06 H1 G4020 <NA> <NA> <NA> A
#> 699 Onondaga County 06 H1 G4020 532 45060 <NA> A
#> 731 Delaware County 06 H1 G4020 <NA> <NA> <NA> A
#> 744 Livingston County 06 H1 G4020 464 40380 <NA> A
#> 1072 Warren County 06 H1 G4020 104 24020 <NA> A
#> 1127 Bronx County 06 H6 G4020 408 35620 35614 C
#> 1180 Tioga County 06 H1 G4020 <NA> 13780 <NA> A
#> 1208 Rensselaer County 06 H1 G4020 104 10580 <NA> A
#> 1233 Nassau County 06 H1 G4020 408 35620 35004 A
#> 1320 Steuben County 06 H1 G4020 236 18500 <NA> A
#> 1350 Albany County 06 H1 G4020 104 10580 <NA> A
#> 1382 Seneca County 06 H1 G4020 464 42900 <NA> A
#> 1491 Hamilton County 06 H1 G4020 <NA> <NA> <NA> A
#> 1512 Monroe County 06 H1 G4020 464 40380 <NA> A
#> 1579 Ontario County 06 H1 G4020 464 40380 <NA> A
#> 1636 Genesee County 06 H1 G4020 464 12860 <NA> A
#> 1662 Erie County 06 H1 G4020 160 15380 <NA> A
#> 1848 Clinton County 06 H1 G4020 <NA> 38460 <NA> A
#> 1902 Dutchess County 06 H1 G4020 408 28880 <NA> A
#> 1913 Otsego County 06 H1 G4020 <NA> 36580 <NA> A
#> 2017 Lewis County 06 H1 G4020 <NA> <NA> <NA> A
#> 2043 Westchester County 06 H1 G4020 408 35620 35614 A
#> 2077 Sullivan County 06 H1 G4020 408 33910 <NA> A
#> 2086 Cortland County 06 H1 G4020 296 18660 <NA> A
#> 2130 Saratoga County 06 H1 G4020 104 10580 <NA> A
#> 2138 Allegany County 06 H1 G4020 <NA> <NA> <NA> A
#> 2213 Chenango County 06 H1 G4020 <NA> <NA> <NA> A
#> 2313 Oswego County 06 H1 G4020 532 45060 <NA> A
#> 2320 Ulster County 06 H1 G4020 408 28740 <NA> A
#> 2331 St. Lawrence County 06 H1 G4020 <NA> 32390 <NA> A
#> 2373 Schoharie County 06 H1 G4020 104 10580 <NA> A
#> 2375 Broome County 06 H1 G4020 <NA> 13780 <NA> A
#> 2438 Richmond County 06 H6 G4020 408 35620 35614 C
#> 2456 Kings County 06 H6 G4020 408 35620 35614 C
#> 2480 Madison County 06 H1 G4020 532 45060 <NA> A
#> 2481 Washington County 06 H1 G4020 104 24020 <NA> A
#> 2484 Suffolk County 06 H1 G4020 408 35620 35004 A
#> 2558 Oneida County 06 H1 G4020 <NA> 46540 <NA> A
#> 2619 Cayuga County 06 H1 G4020 532 12180 <NA> A
#> 2636 Orleans County 06 H1 G4020 464 40380 <NA> A
#> 2653 Montgomery County 06 H1 G4020 104 11220 <NA> A
#> 2680 Fulton County 06 H1 G4020 104 24100 <NA> A
#> 2701 Chemung County 06 H1 G4020 236 21300 <NA> A
#> 2702 Wyoming County 06 H1 G4020 <NA> <NA> <NA> A
#> 2754 Jefferson County 06 H1 G4020 <NA> 48060 <NA> A
#> 2763 Rockland County 06 H1 G4020 408 35620 35614 A
#> 2789 New York County 06 H6 G4020 408 35620 35614 C
#> 2795 Columbia County 06 H1 G4020 104 26460 <NA> A
#> 2830 Cattaraugus County 06 H1 G4020 160 36460 <NA> A
#> 2937 Franklin County 06 H1 G4020 <NA> <NA> <NA> A
#> 2956 Essex County 06 H1 G4020 <NA> <NA> <NA> A
#> 2974 Orange County 06 H1 G4020 408 28880 <NA> A
#> 2975 Schenectady County 06 H1 G4020 104 10580 <NA> A
#> 2985 Chautauqua County 06 H1 G4020 <NA> 27460 <NA> A
#> 3050 Wayne County 06 H1 G4020 464 40380 <NA> A
#> 3054 Niagara County 06 H1 G4020 160 15380 <NA> A
#> 3111 Putnam County 06 H1 G4020 408 35620 35614 A
#> 3168 Tompkins County 06 H1 G4020 296 27060 <NA> A
#> ALAND AWATER INTPTLAT INTPTLON
#> 53 875850182 97496449 +42.6382370 -077.1043238
#> 241 1676140501 28201061 +42.2869702 -074.1495421
#> 248 3653402964 120355811 +43.5710090 -074.8410968
#> 406 281594050 188444349 +40.6546581 -073.8412089
#> 682 850405404 36246373 +42.4197755 -076.9386030
#> 699 2016027797 70512842 +43.0065163 -076.1961336
#> 731 3736306656 64163829 +42.1939865 -074.9667281
#> 744 1635974791 22076449 +42.7290418 -077.7784630
#> 1072 2246093482 166839689 +43.5551053 -073.8381388
#> 1127 109301172 39287800 +40.8487111 -073.8529390
#> 1180 1343600018 11044570 +42.1780565 -076.2974556
#> 1208 1689861383 33524231 +42.7104206 -073.5138454
#> 1233 736965431 437285877 +40.7296118 -073.5894144
#> 1320 3601403378 35034921 +42.2667252 -077.3855253
#> 1350 1354273426 26971925 +42.5882401 -073.9740095
#> 1382 838377559 172813844 +42.7822943 -076.8270880
#> 1491 4447989312 234204425 +43.6578786 -074.5024556
#> 1512 1701536380 1838269506 +43.2503466 -077.7005177
#> 1579 1668017479 47845322 +42.8563571 -077.3034968
#> 1636 1276803035 6136678 +43.0009096 -078.1927784
#> 1662 2700743414 476876396 +42.7527590 -078.7781922
#> 1848 2687763047 206581998 +44.7527120 -073.7056429
#> 1902 2060598606 76906718 +41.7548253 -073.7400136
#> 1913 2594488422 36312826 +42.6297762 -075.0288410
#> 2017 3305625876 39648337 +43.7827061 -075.4441316
#> 2043 1115811944 179391718 +41.1526862 -073.7457526
#> 2077 2507484146 73737482 +41.7199928 -074.7715769
#> 2086 1291817953 7110638 +42.5940390 -076.0762398
#> 2130 2097812297 87488004 +43.1061353 -073.8553872
#> 2138 2666410173 12989704 +42.2478532 -078.0261531
#> 2213 2314006878 13433905 +42.4780238 -075.6022407
#> 2313 2464685609 933435238 +43.4614431 -076.2092618
#> 2320 2911757763 94596810 +41.9472124 -074.2654582
#> 2331 6939961469 366939180 +44.4881125 -075.0743110
#> 2373 1610503550 11676951 +42.5912940 -074.4381718
#> 2375 1827626589 25078245 +42.1619773 -075.8302833
#> 2438 148982681 117441532 +40.5612628 -074.1398995
#> 2456 179684482 71158757 +40.6350451 -073.9506398
#> 2480 1696064498 16680858 +42.9100255 -075.6635749
#> 2481 2152773115 38123569 +43.3123766 -073.4394282
#> 2484 2359323057 3787372220 +40.9435540 -072.6922183
#> 2558 3140211182 117357244 +43.2427273 -075.4342824
#> 2619 1791207571 445691131 +43.0085456 -076.5745866
#> 2636 1013364726 1103744014 +43.3399059 -078.2070281
#> 2653 1044053041 18613118 +42.9008912 -074.4353575
#> 2680 1283236089 96915000 +43.1156093 -074.4236782
#> 2701 1054989064 8874703 +42.1486972 -076.7524712
#> 2702 1535086365 9085228 +42.7013652 -078.2285762
#> 2754 3283928401 1524534691 +43.9963890 -076.0529678
#> 2763 449841001 66919666 +41.1546276 -074.0246616
#> 2789 58683879 29010416 +40.7766419 -073.9701871
#> 2795 1643770715 35071400 +42.2476964 -073.6267175
#> 2830 3388177066 36783591 +42.2390986 -078.6623320
#> 2937 4219867408 176612001 +44.5943758 -074.3106700
#> 2956 4646755722 316348027 +44.1096005 -073.7784307
#> 2974 2103273921 67952544 +41.4024096 -074.3062522
#> 2975 530121015 12335637 +42.8175516 -074.0435592
#> 2985 2746450227 1139029655 +42.3042159 -079.4075949
#> 3050 1563913378 2018184725 +43.2181139 -077.0494024
#> 3054 1352876143 1598772310 +43.2726719 -078.8129431
#> 3111 596350753 41228996 +41.4279067 -073.7438608
#> 3168 1229336924 43765697 +42.4530063 -076.4734835
#> geometry
#> 53 MULTIPOLYGON (((-77.35735 4...
#> 241 MULTIPOLYGON (((-73.79432 4...
#> 248 MULTIPOLYGON (((-75.16781 4...
#> 406 MULTIPOLYGON (((-74.03813 4...
#> 682 MULTIPOLYGON (((-77.10711 4...
#> 699 MULTIPOLYGON (((-76.08017 4...
#> 731 MULTIPOLYGON (((-74.66969 4...
#> 744 MULTIPOLYGON (((-77.65085 4...
#> 1072 MULTIPOLYGON (((-73.73948 4...
#> 1127 MULTIPOLYGON (((-73.93381 4...
#> 1180 MULTIPOLYGON (((-76.11623 4...
#> 1208 MULTIPOLYGON (((-73.274 42....
#> 1233 MULTIPOLYGON (((-73.78019 4...
#> 1320 MULTIPOLYGON (((-77.08327 4...
#> 1350 MULTIPOLYGON (((-73.96379 4...
#> 1382 MULTIPOLYGON (((-76.96393 4...
#> 1491 MULTIPOLYGON (((-74.20976 4...
#> 1512 MULTIPOLYGON (((-77.63502 4...
#> 1579 MULTIPOLYGON (((-76.97439 4...
#> 1636 MULTIPOLYGON (((-78.23451 4...
#> 1662 MULTIPOLYGON (((-78.7776 42...
#> 1848 MULTIPOLYGON (((-73.3863 44...
#> 1902 MULTIPOLYGON (((-73.8611 41...
#> 1913 MULTIPOLYGON (((-74.77289 4...
#> 2017 MULTIPOLYGON (((-75.31609 4...
#> 2043 MULTIPOLYGON (((-73.65762 4...
#> 2077 MULTIPOLYGON (((-75.14449 4...
#> 2086 MULTIPOLYGON (((-75.87633 4...
#> 2130 MULTIPOLYGON (((-73.67891 4...
#> 2138 MULTIPOLYGON (((-78.04342 4...
#> 2213 MULTIPOLYGON (((-75.40346 4...
#> 2313 MULTIPOLYGON (((-76.02509 4...
#> 2320 MULTIPOLYGON (((-74.0748 42...
#> 2331 MULTIPOLYGON (((-74.64908 4...
#> 2373 MULTIPOLYGON (((-74.24306 4...
#> 2375 MULTIPOLYGON (((-75.74223 4...
#> 2438 MULTIPOLYGON (((-74.25875 4...
#> 2456 MULTIPOLYGON (((-74.05647 4...
#> 2480 MULTIPOLYGON (((-75.68409 4...
#> 2481 MULTIPOLYGON (((-73.26504 4...
#> 2484 MULTIPOLYGON (((-71.80938 4...
#> 2558 MULTIPOLYGON (((-75.84891 4...
#> 2619 MULTIPOLYGON (((-76.75354 4...
#> 2636 MULTIPOLYGON (((-77.99691 4...
#> 2653 MULTIPOLYGON (((-74.25683 4...
#> 2680 MULTIPOLYGON (((-74.41589 4...
#> 2701 MULTIPOLYGON (((-76.73057 4...
#> 2702 MULTIPOLYGON (((-77.95538 4...
#> 2754 MULTIPOLYGON (((-75.90417 4...
#> 2763 MULTIPOLYGON (((-73.89379 4...
#> 2789 MULTIPOLYGON (((-74.03544 4...
#> 2795 MULTIPOLYGON (((-73.3822 42...
#> 2830 MULTIPOLYGON (((-78.69725 4...
#> 2937 MULTIPOLYGON (((-74.38487 4...
#> 2956 MULTIPOLYGON (((-73.6182 43...
#> 2974 MULTIPOLYGON (((-74.24491 4...
#> 2975 MULTIPOLYGON (((-73.89962 4...
#> 2985 MULTIPOLYGON (((-79.14523 4...
#> 3050 MULTIPOLYGON (((-76.70573 4...
#> 3054 MULTIPOLYGON (((-78.49165 4...
#> 3111 MULTIPOLYGON (((-73.66062 4...
#> 3168 MULTIPOLYGON (((-76.25388 4...tt_address_ranges(): Address Rangestt_ai_an_nh_areas(): American Indian / Alaska Native /
Native Hawaiian Areastt_tribal_subdivisions(): Tribal Subdivisionstt_anrc(): Alaskan Native Regional Corporationstt_area_landmarks(): Area Landmarkstt_area_water(): Area Watertt_block_groups(): Block Groupstt_cbsa(): Core Based Statistical Areastt_congressional_districts(): Congressional
Districtstt_new_england_combined_areas(): Combined New England
Towns and Citiestt_coastline(): Coastlinett_consolidated_cities(): Consolidated Citiestt_counties(): Countiestt_county_subdivisions(): County Subdivisionstt_csa(): Combined Statistical Areastt_polygon_edges(): All Polygon Edgestt_elementary_school_districts(): Elementary School
Districts (limited states)tt_estates(): Estates (Virgin Islands only)tt_polygon_faces(): All Polygon Facestt_linear_water(): Linear Watertt_metropolitan_divisions(): Metropolitan
Divisionstt_military(): Military Installationstt_new_england_cities(): New England Cities and
Townstt_new_england_city_divisions(): New England Cities and
Towns Divisionstt_places(): Census Placestt_point_landmarks(): Point Landmarkstt_primary_roads(): Primary Roadstt_primary_secondary_roads(): Primary and Secondary
Roadstt_puma(): Public Use Microdata Areastt_rails(): Railroadstt_roads(): Roadstt_secondary_school_districts(): Secondary School
Districts (limited states)tt_state_leg_lower(): Lower State Legislative
Districtstt_state_leg_upper(): Upper State Legislative
Districtstt_states(): Statestt_subbarrios(): Subbarios (Puerto Rico only)tt_blocks(): Blockstt_tribal_block_groups(): Tribal Block Groupstt_tracts(): Tractstt_tribal_tracts(): Tribal Tractstt_uac(): : Urban Areastt_unified_school_districts(): Unified School
Districtstt_voting_districts(): Voting Districtstt_zcta(): Zip Code Tabulation AreasBy default, downloads show a progress bar in interactive sessions and
are quiet in non-interactive sessions. Override this with
options(tinytiger.curl_quiet = TRUE) or
FALSE.
Downloads will go to options(tinytiger.cache_dir) if it
is set. If it is not, and rappdirs is installed, and
options(tinytiger.use_cache = TRUE), downloads will be
cached between sessions in
rappdirs::user_cache_dir("tinytiger"). If it is not
installed, or if options(tinytiger.use_cache = FALSE), then
the cache will be in a temporary directory that does not persist between
sessions. You can check the size of the cache and clear it with
tt_cache_size() and tt_cache_clear().
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.