Random Polygon Coordinates in South America

Polygon Coordinates - South America

[ [ -34.471, -58.923 ], [ -34.467, -58.891 ], [ -34.457, -58.897 ], [ -34.452, -58.899 ], [ -34.452, -58.912 ], [ -34.458, -58.909 ], [ -34.471, -58.923 ] ]
6 vertices
3.086 km², 1.192 mi²
Pilar, Argentina
[ [ 10.957, -74.83 ], [ 10.955, -74.819 ], [ 10.961, -74.808 ], [ 10.965, -74.811 ], [ 10.973, -74.818 ], [ 10.965, -74.82 ], [ 10.957, -74.83 ] ]
6 vertices
2.076 km², 0.802 mi²
Barranquilla, Colombia
[ [ 10.158, -67.957 ], [ 10.151, -67.942 ], [ 10.173, -67.937 ], [ 10.171, -67.979 ], [ 10.166, -67.999 ], [ 10.158, -67.957 ] ]
5 vertices
8.239 km², 3.181 mi²
Valencia, Venezuela
[ [ -23.427, -51.966 ], [ -23.412, -51.903 ], [ -23.396, -51.897 ], [ -23.387, -51.91 ], [ -23.374, -51.906 ], [ -23.394, -51.952 ], [ -23.427, -51.966 ] ]
6 vertices
21.161 km², 8.17 mi²
Maringá, Brazil
[ [ -23.453, -51.885 ], [ -23.439, -51.904 ], [ -23.426, -51.911 ], [ -23.434, -51.923 ], [ -23.436, -51.961 ], [ -23.453, -51.885 ] ]
5 vertices
6.81 km², 2.629 mi²
Maringá, Brazil
[ [ -38.741, -72.608 ], [ -38.746, -72.62 ], [ -38.748, -72.595 ], [ -38.744, -72.599 ], [ -38.736, -72.602 ], [ -38.727, -72.617 ], [ -38.741, -72.608 ] ]
6 vertices
1.741 km², 0.672 mi²
Temuco, Chile
[ [ 2.431, -76.604 ], [ 2.435, -76.599 ], [ 2.437, -76.598 ], [ 2.448, -76.604 ], [ 2.449, -76.608 ], [ 2.443, -76.619 ], [ 2.431, -76.604 ] ]
6 vertices
2.578 km², 0.995 mi²
Popayan, Colombia
[ [ -14.066, -75.722 ], [ -14.065, -75.749 ], [ -14.065, -75.747 ], [ -14.066, -75.722 ] ]
3 vertices
0.053 km², 0.02 mi²
Ica, Peru
[ [ -17.396, -66.194 ], [ -17.385, -66.151 ], [ -17.374, -66.133 ], [ -17.37, -66.156 ], [ -17.349, -66.163 ], [ -17.363, -66.211 ], [ -17.396, -66.194 ] ]
6 vertices
22.371 km², 8.638 mi²
Cochabamba, Bolivia
[ [ -17.398, -66.2 ], [ -17.429, -66.158 ], [ -17.407, -66.161 ], [ -17.389, -66.143 ], [ -17.349, -66.137 ], [ -17.369, -66.193 ], [ -17.398, -66.2 ] ]
6 vertices
32.234 km², 12.446 mi²
Cochabamba, Bolivia
[ [ -17.406, -66.206 ], [ -17.448, -66.142 ], [ -17.364, -66.208 ], [ -17.405, -66.211 ], [ -17.406, -66.206 ] ]
4 vertices
16.844 km², 6.504 mi²
Cochabamba, Bolivia
[ [ -41.465, -72.963 ], [ -41.461, -72.955 ], [ -41.455, -72.934 ], [ -41.452, -72.954 ], [ -41.465, -72.963 ] ]
4 vertices
1.17 km², 0.452 mi²
Puerto Montt, Chile
[ [ -16.538, -68.144 ], [ -16.536, -68.143 ], [ -16.509, -68.124 ], [ -16.503, -68.113 ], [ -16.495, -68.126 ], [ -16.495, -68.142 ], [ -16.538, -68.144 ] ]
6 vertices
7.11 km², 2.745 mi²
La Paz, Bolivia
[ [ -16.538, -68.134 ], [ -16.513, -68.132 ], [ -16.505, -68.137 ], [ -16.538, -68.134 ] ]
3 vertices
0.833 km², 0.321 mi²
La Paz, Bolivia
[ [ -16.521, -68.166 ], [ -16.535, -68.166 ], [ -16.524, -68.148 ], [ -16.509, -68.136 ], [ -16.493, -68.147 ], [ -16.496, -68.149 ], [ -16.521, -68.166 ] ]
6 vertices
7 km², 2.703 mi²
La Paz, Bolivia
[ [ -1.463, -48.482 ], [ -1.462, -48.457 ], [ -1.413, -48.474 ], [ -1.463, -48.482 ] ]
3 vertices
7.55 km², 2.915 mi²
Belem, Brazil
[ [ -36.729, -73.119 ], [ -36.726, -73.117 ], [ -36.725, -73.116 ], [ -36.722, -73.112 ], [ -36.722, -73.123 ], [ -36.729, -73.119 ] ]
5 vertices
0.331 km², 0.128 mi²
Talcahuano, Chile
[ [ -22.934, -47.061 ], [ -22.929, -47.046 ], [ -22.888, -47.106 ], [ -22.934, -47.061 ] ]
3 vertices
5.27 km², 2.035 mi²
Campinas, Brazil
[ [ -22.945, -47.066 ], [ -22.929, -47.04 ], [ -22.923, -47.038 ], [ -22.904, -47.041 ], [ -22.905, -47.09 ], [ -22.945, -47.066 ] ]
5 vertices
15.338 km², 5.922 mi²
Campinas, Brazil
[ [ -22.93, -47.08 ], [ -22.923, -47.036 ], [ -22.917, -47.047 ], [ -22.905, -47.047 ], [ -22.93, -47.08 ] ]
4 vertices
4.165 km², 1.608 mi²
Campinas, Brazil
[ [ -27.878, -54.488 ], [ -27.887, -54.475 ], [ -27.87, -54.464 ], [ -27.845, -54.456 ], [ -27.855, -54.482 ], [ -27.861, -54.481 ], [ -27.878, -54.488 ] ]
6 vertices
7.49 km², 2.892 mi²
Santa Rosa, Brazil
[ [ -27.88, -54.49 ], [ -27.886, -54.472 ], [ -27.873, -54.466 ], [ -27.872, -54.457 ], [ -27.864, -54.465 ], [ -27.856, -54.469 ], [ -27.88, -54.49 ] ]
6 vertices
4.393 km², 1.696 mi²
Santa Rosa, Brazil
[ [ -30.062, -51.215 ], [ -30.046, -51.154 ], [ -30.035, -51.184 ], [ -30.035, -51.191 ], [ -30.062, -51.215 ] ]
4 vertices
7.184 km², 2.774 mi²
Porto Alegre, Brazil
[ [ 4.64, -74.053 ], [ 4.64, -74.052 ], [ 4.686, -74.099 ], [ 4.64, -74.053 ] ]
3 vertices
0.264 km², 0.102 mi²
Bogota, Colombia
[ [ 4.813, -75.694 ], [ 4.807, -75.692 ], [ 4.818, -75.689 ], [ 4.818, -75.673 ], [ 4.829, -75.693 ], [ 4.829, -75.695 ], [ 4.813, -75.694 ] ]
6 vertices
2.017 km², 0.779 mi²
Pereira, Colombia
[ [ 5.05, -75.518 ], [ 5.06, -75.503 ], [ 5.065, -75.504 ], [ 5.069, -75.499 ], [ 5.067, -75.519 ], [ 5.05, -75.518 ] ]
5 vertices
2.554 km², 0.986 mi²
Manizales, Colombia
[ [ 5.55, -73.36 ], [ 5.548, -73.354 ], [ 5.555, -73.351 ], [ 5.55, -73.36 ] ]
3 vertices
0.269 km², 0.104 mi²
Tunja, Colombia
[ [ -12.079, -77.027 ], [ -12.071, -76.999 ], [ -12.049, -76.994 ], [ -12.066, -77.03 ], [ -12.079, -77.027 ] ]
4 vertices
6.605 km², 2.55 mi²
Lima, Peru
[ [ -35.427, -71.659 ], [ -35.431, -71.663 ], [ -35.439, -71.664 ], [ -35.43, -71.657 ], [ -35.426, -71.648 ], [ -35.409, -71.649 ], [ -35.427, -71.659 ] ]
6 vertices
1.512 km², 0.584 mi²
Talca, Chile
[ [ -27.092, -52.625 ], [ -27.099, -52.62 ], [ -27.113, -52.605 ], [ -27.085, -52.609 ], [ -27.063, -52.609 ], [ -27.068, -52.62 ], [ -27.092, -52.625 ] ]
6 vertices
6.157 km², 2.377 mi²
Chapecó, Brazil
[ [ 2.933, -75.276 ], [ 2.927, -75.276 ], [ 2.928, -75.268 ], [ 2.931, -75.27 ], [ 2.942, -75.272 ], [ 2.94, -75.281 ], [ 2.942, -75.286 ], [ 2.933, -75.276 ] ]
7 vertices
1.412 km², 0.545 mi²
Neiva, Colombia
[ [ -12.068, -75.217 ], [ -12.075, -75.197 ], [ -12.069, -75.191 ], [ -12.067, -75.194 ], [ -12.059, -75.195 ], [ -12.048, -75.213 ], [ -12.063, -75.207 ], [ -12.068, -75.217 ] ]
7 vertices
3.661 km², 1.414 mi²
Huancayo, Peru
[ [ -12.088, -75.221 ], [ -12.059, -75.186 ], [ -12.058, -75.2 ], [ -12.088, -75.221 ] ]
3 vertices
2.8 km², 1.081 mi²
Huancayo, Peru
[ [ -12.091, -75.197 ], [ -12.091, -75.186 ], [ -12.05, -75.206 ], [ -12.047, -75.227 ], [ -12.091, -75.197 ] ]
4 vertices
7.478 km², 2.887 mi²
Huancayo, Peru
[ [ 4.535, -75.684 ], [ 4.536, -75.682 ], [ 4.534, -75.682 ], [ 4.539, -75.676 ], [ 4.54, -75.68 ], [ 4.535, -75.684 ] ]
5 vertices
0.261 km², 0.101 mi²
Armenia, Colombia
[ [ -3.757, -38.564 ], [ -3.768, -38.517 ], [ -3.762, -38.495 ], [ -3.742, -38.483 ], [ -3.742, -38.519 ], [ -3.757, -38.564 ] ]
5 vertices
15.72 km², 6.069 mi²
Fortaleza, Brazil
[ [ 3.414, -76.517 ], [ 3.443, -76.517 ], [ 3.457, -76.515 ], [ 3.446, -76.519 ], [ 3.458, -76.528 ], [ 3.414, -76.517 ] ]
5 vertices
2.195 km², 0.847 mi²
Cali, Colombia
[ [ 10.469, -66.966 ], [ 10.464, -66.956 ], [ 10.499, -66.917 ], [ 10.511, -66.923 ], [ 10.469, -66.966 ] ]
4 vertices
8.017 km², 3.095 mi²
Caracas, Venezuela
[ [ -24.839, -65.441 ], [ -24.842, -65.427 ], [ -24.841, -65.403 ], [ -24.841, -65.401 ], [ -24.824, -65.399 ], [ -24.773, -65.426 ], [ -24.819, -65.439 ], [ -24.839, -65.441 ] ]
7 vertices
19.417 km², 7.497 mi²
Salta, Argentina
[ [ -34.626, -58.446 ], [ -34.624, -58.433 ], [ -34.63, -58.418 ], [ -34.604, -58.404 ], [ -34.595, -58.401 ], [ -34.605, -58.414 ], [ -34.626, -58.446 ] ]
6 vertices
4.786 km², 1.848 mi²
Buenos Aires, Argentina
[ [ -39.82, -73.245 ], [ -39.824, -73.244 ], [ -39.821, -73.238 ], [ -39.819, -73.239 ], [ -39.816, -73.246 ], [ -39.819, -73.246 ], [ -39.82, -73.245 ] ]
6 vertices
0.33 km², 0.127 mi²
Valdivia, Chile
[ [ -39.826, -73.242 ], [ -39.824, -73.242 ], [ -39.824, -73.242 ], [ -39.818, -73.245 ], [ -39.818, -73.248 ], [ -39.826, -73.242 ] ]
5 vertices
0.102 km², 0.039 mi²
Valdivia, Chile
[ [ -39.824, -73.238 ], [ -39.821, -73.24 ], [ -39.815, -73.241 ], [ -39.817, -73.245 ], [ -39.824, -73.238 ] ]
4 vertices
0.181 km², 0.07 mi²
Valdivia, Chile
[ [ -36.829, -73.054 ], [ -36.83, -73.046 ], [ -36.83, -73.046 ], [ -36.83, -73.038 ], [ -36.825, -73.054 ], [ -36.829, -73.054 ] ]
5 vertices
0.392 km², 0.151 mi²
Concepcion, Chile
[ [ -36.831, -73.062 ], [ -36.831, -73.041 ], [ -36.829, -73.046 ], [ -36.828, -73.044 ], [ -36.831, -73.062 ] ]
4 vertices
0.303 km², 0.117 mi²
Concepcion, Chile
[ [ -34.901, -56.192 ], [ -34.904, -56.163 ], [ -34.896, -56.163 ], [ -34.875, -56.188 ], [ -34.901, -56.192 ] ]
4 vertices
4.822 km², 1.862 mi²
Montevideo, Uruguay
[ [ -34.869, -56.197 ], [ -34.876, -56.19 ], [ -34.872, -56.15 ], [ -34.859, -56.118 ], [ -34.86, -56.126 ], [ -34.86, -56.148 ], [ -34.869, -56.197 ] ]
6 vertices
6.08 km², 2.347 mi²
Montevideo, Uruguay
[ [ -13.177, -74.225 ], [ -13.173, -74.214 ], [ -13.162, -74.208 ], [ -13.164, -74.227 ], [ -13.164, -74.228 ], [ -13.177, -74.225 ] ]
5 vertices
2.197 km², 0.848 mi²
Ayacucho, Peru
[ [ -13.176, -74.216 ], [ -13.177, -74.203 ], [ -13.173, -74.212 ], [ -13.172, -74.211 ], [ -13.159, -74.229 ], [ -13.168, -74.228 ], [ -13.168, -74.228 ], [ -13.176, -74.216 ] ]
7 vertices
1.78 km², 0.687 mi²
Ayacucho, Peru
[ [ -38.061, -57.579 ], [ -38.06, -57.562 ], [ -38.043, -57.58 ], [ -38.061, -57.579 ] ]
3 vertices
1.55 km², 0.598 mi²
Mar del Plata, Argentina

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Highlights from Randomly Generated Polygons

Number of Random Polygons

Largest Polygon By Area

32.2 km² / 12.4 mi²

Smallest Polygon By Area

52879.2 m² (0.053 km²) / 569186 ft² (0.02 mi²)

Total Polygon Area

287.9 km² / 111.2 mi²

Average Polygon Area

5.8 km² / 2.2 mi²

Maximum Vertices

Minimum Vertices

Total Vertices

249

Average Vertices

Centroid of All Polygons

-18.3618621, -66.1075957

Northmost Polygon

Barranquilla, Colombia
10.9725283, -74.8184344

Southmost Polygon

Puerto Montt, Chile
-41.4645295, -72.9629012

Eastmost Polygon

Fortaleza, Brazil
-3.7415658, -38.4831623

Westmost Polygon

Lima, Peru
-12.0660194, -77.0297544

Polygon Nearest to Equator

Belem , Brazil
-1.4627112, -48.482248

Bounding Box Height

5821 km

Bounding Box Width

4128 km

Bounding Box Diagonal Span

7136 km

Number of Countries

Cities Appeared

Most Polygons in a Country

Brazil

Most Polygons in a City

Campinas

Polygons by Country

Brazil11

Chile9

Colombia9

Peru7

Bolivia6

Argentina4

Uruguay2

Venezuela2

Top Appearing Cities

Campinas3

Cochabamba3

Huancayo3

La Paz3

Valdivia3

Ayacucho2

Concepcion2

Maringá2

Montevideo2

Santa Rosa2

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