A dataset containing names of all the available administrative areas from the GADM data base. Names describe distinct administrative areas in five levels.

adm_area_names

Format

A data frame with 41535 rows and 4 columns.

ISO3

character, country code.

NAME_0

character, name of administrative areas at level 0.

NAME_1

character, name of administrative areas at level 1.

NAME_2

character, name of administrative areas at level 2.

Source

https://gadm.org/

Examples

data("adm_area_names", package = "rangemap") adm_area_names[1:10, 1:4]
#> ISO3 NAME_0 NAME_1 NAME_2 #> 1 AFG Afghanistan Badakhshan Baharak #> 2 AFG Afghanistan Badakhshan Darwaz #> 3 AFG Afghanistan Badakhshan Fayzabad #> 4 AFG Afghanistan Badakhshan Ishkashim #> 5 AFG Afghanistan Badakhshan Jurm #> 6 AFG Afghanistan Badakhshan Khwahan #> 7 AFG Afghanistan Badakhshan Kishim #> 8 AFG Afghanistan Badakhshan Kuran Wa Munjan #> 9 AFG Afghanistan Badakhshan Ragh #> 10 AFG Afghanistan Badakhshan Shahri Buzurg
# Country names: Level 0 unique(adm_area_names$NAME_0)
#> [1] Afghanistan Akrotiri and Dhekelia #> [3] Albania Algeria #> [5] American Samoa Angola #> [7] Argentina Australia #> [9] Austria Azerbaijan #> [11] Bangladesh Belarus #> [13] Belgium Benin #> [15] Bhutan Bolivia #> [17] Bosnia and Herzegovina Botswana #> [19] Brazil Brunei #> [21] Bulgaria Burkina Faso #> [23] Burundi Cambodia #> [25] Cameroon Canada #> [27] Central African Republic Chad #> [29] Chile China #> [31] Colombia Costa Rica #> [33] Côte d'Ivoire Croatia #> [35] Cuba Czech Republic #> [37] Democratic Republic of the Congo Denmark #> [39] Djibouti Dominican Republic #> [41] Ecuador Egypt #> [43] El Salvador Equatorial Guinea #> [45] Eritrea Estonia #> [47] Ethiopia Faroe Islands #> [49] Fiji Finland #> [51] France French Guiana #> [53] Gabon Gambia #> [55] Georgia Germany #> [57] Ghana Greece #> [59] Guadeloupe Guatemala #> [61] Guinea-Bissau Guinea #> [63] Guyana Haiti #> [65] Honduras Hungary #> [67] Iceland India #> [69] Indonesia Iran #> [71] Iraq Isle of Man #> [73] Italy Japan #> [75] Jordan Kazakhstan #> [77] Kenya Kosovo #> [79] Kyrgyzstan Laos #> [81] Latvia Lebanon #> [83] Liberia Lithuania #> [85] Luxembourg Macao #> [87] Madagascar Malawi #> [89] Malaysia Mali #> [91] Malta Martinique #> [93] Mauritania Mexico #> [95] Mongolia Morocco #> [97] Mozambique Myanmar #> [99] Namibia Nepal #> [101] Netherlands New Caledonia #> [103] New Zealand Nicaragua #> [105] Niger Nigeria #> [107] North Korea Norway #> [109] Oman Pakistan #> [111] Palestina Panama #> [113] Papua New Guinea Paraguay #> [115] Peru Philippines #> [117] Poland Portugal #> [119] Republic of Congo Reunion #> [121] Romania Russia #> [123] Rwanda Saint Helena #> [125] Samoa São Tomé and Príncipe #> [127] Senegal Serbia #> [129] Sierra Leone Slovakia #> [131] Slovenia Solomon Islands #> [133] Somalia South Africa #> [135] South Korea South Sudan #> [137] Spain Sri Lanka #> [139] Sudan Suriname #> [141] Swaziland Sweden #> [143] Switzerland Syria #> [145] Taiwan Tajikistan #> [147] Tanzania Thailand #> [149] Timor-Leste Togo #> [151] Trinidad and Tobago Tunisia #> [153] Turkey Uganda #> [155] Ukraine United Arab Emirates #> [157] United Kingdom United States #> [159] Uruguay Uzbekistan #> [161] Vanuatu Venezuela #> [163] Vietnam Virgin Islands, U.S. #> [165] Wallis and Futuna Yemen #> [167] Zambia Zimbabwe #> 256 Levels: Afghanistan Akrotiri and Dhekelia Åland Albania ... Zimbabwe
# Provinces of a country: Level 1 as.character(unique(adm_area_names[adm_area_names$NAME_0 == "Ecuador", "NAME_1"]))
#> [1] "Azuay" "Bolivar" #> [3] "Cañar" "Carchi" #> [5] "Chimborazo" "Cotopaxi" #> [7] "El Oro" "Esmeraldas" #> [9] "Galápagos" "Guayas" #> [11] "Imbabura" "Loja" #> [13] "Los Rios" "Manabi" #> [15] "Morona Santiago" "Napo" #> [17] "Orellana" "Pastaza" #> [19] "Pichincha" "Santa Elena" #> [21] "Santo Domingo de los Tsachilas" "Sucumbios" #> [23] "Tungurahua" "Zamora Chinchipe"
# Some administrative areas at level 2 of India l2_India <- as.character(unique(adm_area_names[adm_area_names$NAME_0 == "India", "NAME_2"]))