20220427 10200800 1.0 TRUE TRUE Cache_MpiosPoblacionAutorecPertenGrupoEtnico_2005 El servicio corresponde a la población que se autoreconoce perteneciente a un grupo étnico de acuerdo con el Censo General 2005. demografia poblacion Población que se autoreconoce perteneciente a un grupo étnico, según municipio 2005 Departamento Administrativo Nacional de Estadística (DANE) /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3Ciii gAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKA CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAqO bzgn7gRl89HJA/SpKrzWpmkDi4nj4AwjYHGe2PegCINqe4ZitMd8SNx/47Ts6hg/Ja57fM3p9PWk +wHaym9uyD/tjI4x1xTjZk4/0u54/wBof4UAJnUNv3bbPpub/D6UbtQ2/wCrtd3H8bY9+1H2I8Yu 7kY/2x/hS/Yzuz9rue3G4dvwoAQnUcjCWuOc5dv8KtLnaN2N2OcVXhtDC4b7TcOB/C75H8qs0AFF FFABRRRQAUVia5ry6agjg8uS4bPG77nuRUnh/UrvUrV3uogu0gLIBgP6/lUe0jzcvU09lLk5+hr0 UUVZmFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABR RRQAUUUUAFV72/tNOhE15cRwRlgoaRgASe31qxWJrf7y9tbeSIvFKrAt0EZ4+Y/hmoqS5IuRUY8z sWbfV4L2MNbSIwLbSUdW2/X3qjqN9NK01m8hRcgZjBRjwD1z/KnWtleLpskY1UpIsjEuUj9eC3yn r1/GqtoLSaUQSefLIz8F0f5u27d06e9edXqVJNKLtc6KcYK7fQfofhqG1uPtrl2DL8kbuWA9+a6X oMCiivRpwUI8qMJzc3dhRRRVkBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRR RQAUUUUAFFFFABRRRQAUUUUAFNkkSGJ5HOEQFmPoBTqz9V1W30yAeeCxkBCoOc8fypNpK7HFOTsh L7VY4FWOE75ZBlTglQD/ABE9x9KzL+3/ALMaO7FyZJdoG3OQ4JGTya5/SpGmlRZHf91ITGmcgKe3 046e9bw02N41ljtU3bsvJ5Y3deADjrXlVsRzyaXQ7VS9noIlyn2HMkv2UyIrYZlHyngHAbnGByOa 09OJuik0lxljGhG0jHPJP5Y/WqdobKJpoLmJZNp3xBky5JJz9exog02SBRI11eRqYQN6snyr27Z4 3c/TNXSalaSMal1obyHK89RwfrTqzbWzkW4LtfXTbXzsJXDcDr8vr6VpV6UXdXOcKKKKYBRRRQAU UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFY/iLT47 zTWkZlR4QXDt6dxWxVXUmKabcsI1lxGSUY4BGOf0qZJNNMqDakmjhvDYjOtkzsF2Rlo9xAGen58m uqW71nzwGtbUKMEMbhj3542VwSxRrL5zB2wclTIwH5ZxXYW2sSQWqmW1kKoijeqvICSOuQOP1615 tNe9Y7sUvtF27sRLfZSTYxDM/OCAfb396EbUQkcMkFl5WMPiZzx0P8Pp/nvUMt1bPMJzeQpKrfdY hCFC9wenJ74puBfFmh1DY4I80RbZFPbBHpk+3Srp01FtnJKbkkmWI5JpbhCZpEhRdxDMBjPQEj/P Aq4LkmfCxIYuhb7V7dcH8ajitJYEaaVPOf5RG2FVx6+wH480v2tRG0kkLqg6Esh3H0GGPNS5Sg20 9CklJWLuVGWjk8xB97kHb6UGWMEgyKCOoz0rBnna4cMyiMAEAKex9Tx+VU3nijwFAOOw6Cs45k/h jG5tHByl1OpWeFnCLKhY9gwzUlYekgXFz5g+5GOe3J6f1rcr0MNVlVhzyVjnq0/Zy5QooorcyCii igAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACqmqTrbaXcyvG0i rGcqoyT2q3WdrWojTNNeYKHkb5UQ9yaUnZNsqKbkkjhNKUXl5Em4qhPzMVzxjn/9dbdnYjTr4XF2 6W1qjBcJdORkDKjBUccZwTjj88TSVt7JJHGmQncepQDHr0rr9PtbS401Us4Yot6hpiq9H6kfhkiv LjJq9kduJi21zbFZ9SlmLLFayMJJCqzI6FSu4gNwc9umPatKCK4mCM9u0MrspIBUrgYbB685BFTx Wvmj7SDiUYRWH8P5+vH+TVq4hY28gSRopAMiRACR+eRW97s4ypqcjrahGtwC54Zn5B+g6/nXNXJe KeLDsSVbJP1XtW3cgvs8+5HyA/M2FPX0GB6CsfU/JSeDZMj/ACuDhhx92uKth6rqe0a91HfhJwuo dWVLjzpwMXEsRz1THPtyDUcEbQxFZJ3lPXfJgH9ABUd6l2IIpo8rC7FcgZJx/IdfyqOKBwN9xJuU fwscij2birPQ9GM4t+6dT4blRxcKrKT8p4P1rerldBKzXTNATvTAJ6Lt759a6qvUw1/ZK54uLt7Z 2CiiitzmCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAMzXr 5rHTHaKVEmbhNzAH3xnqcVwqxX2pz7InaZ9ufnfOPU8132q6TBqtv5cvyuv3JAOV/wAR7VgaZpD+ H7yRRAgt2ABnC/e54Ht9K5K8ZN36HZQnGMHb4iwIrm4CWsskRZujFNuAM8cd6ux6VbRujxh9wcb2 ErAZx0wCB2/I1kX1zAl28nnxKsjHYrybQVHHAPuR+datvrdu8GIigKHaFjIZQe3I/rXBCtFOVxzj NpJbG4hiMjo5C+YBtB4yMdB9MH86rSvPJPKolxEDt2gc9B3qxFNC9kszBRFjJDc7TWNNrdgbuSLT 7i3uGKBisUikIfU47dK1qTtDmuYwjeVrCw3tnE6x+XMjsckyQv192I/nRqV3p4hWO5niGTlV+9z7 gdRWe9zLJLtlUvKfu7Rw3U4Hp0PFYE1zYpdAXFxCk4bJRnAOT061yUqkpy5ktDthQUtGzpLW/tbs yx/JhRjDjBPrwecVlXnh608zzbI28bseeQoUegAFOtdR/s+9jZYGnkYEBF6n9K6zTrxdQsY7kR7N +cqeSCCR/SvXpSVaFpbnPVhLDz9x6HFafp+pwM19BG6CFd4bH3xjOAO+a7q3nW5top0+7IgYfiKl qpplm1hYpbNL5m0nDYxwTnFa06fJotjCpVdTV7luiiitDIKKKKACiiigAooooAKKKKACiiigAooo oAKKKKACiiigAooooAKKKKACiiigAooooAKa6LIhR1DKeoNOooAptpdo4VWiDIDkIeRVSTRFUsIP LEbfwsMY/HvWvRWFTDUqitKJpGrOLumc8l7eaOTA6jy2b5c8np2Hf8OabLfw3jkgRLKvDbeD+Irc uYDMqlG2upypIyOnQ+3+FczruktM/nwx5uExvQc7h2IrhrYB8jUZadjopVoufvK3mSSEOyxKrPI3 KhTgjHfParirLGALnbMh7rHyv5df0rmob9LWYsVMLocHj9K2LTX4J5fLcjp1XNPAxhRTUnq/uNcT SnKzjr+Zc0q/0tL6WGCdNz7QOeCcngH16cVvV5Sxngvmnt3UkS71Vl759a9VGcDIwe9dtCfMmrbH PiKfI0273Fooorc5gooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAC iiigAooooAKKKKACiiigAqtdQGTa6KC6nnsSMVZooAw7nRftc6ylPKkAwXyDn6+tVj4fuwHIkiO3 7o5+b/CulpksghheRgSEUsQBk1lOjCTu0b08RVgrRZ56ljPFrMNrPCUdpVGD3GevuK9FrndOxfan HfSofNOWAb+AYIAH510VZYVxak49ysTJtpPsFFFFdRzBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAB RRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAR+TH5/nbR5m3bu9v8A IqSiii1gCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiii gAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKA CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK KKKACiiigAooooA//9k=