20220427 10120200 1.0 TRUE TRUE Cache_MpiosTNMNecesEducacion_2005 El servicio geográfico corresponde a la georreferenciación de la tasa neta de migración por necesidad de educación, según municipio 2000-2005, de acuerdo con los datos ajustados del Censo General 2005. demografia poblacion Tasa neta de migración por necesidad de educación, según municipio 2000-2005 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 gAooooAKKKKAGSyxwoXlcIo7moP7RsjK0X2mPepwV3cipJJLc5ileI+qsR9en4VERpxzIRanByWw vH40AEep2MpUR3UTbl3DDdRjOajGt6YXRBfQlpCQo3dcVKEsVbhbcMoxwFyBQV09NgK2y85XhRz6 igBP7Usf+fqLoT97sKcdQswHJuI8J9456UGKx3cx2+4jH3VyRSKtg7bUW2Zm7AKSaALCOsi7kYMv TIp1IqqgwoAHoBS0AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQA UUUUAFFFFABRRRQAUUUUAQPZ20knmPBGz5zuK8+n9aaNOs1VlFtFtc5YbeDVmigCA2dsWLGCPJ4J 29aR7G1kKl7eNiv3cr0qxRQBD9jt9wbyUyOhxTY7G1ikEkdvGrjoQvIqxRQAUUUUAFFFFABRRSEg AknAFAC0VBdXcdpatcMCyqOi8k1T0/XbTUpfKgEpkxkjYePx6VnKtTjNQb1eyNFSm4OaWiNOmFJZ m2xOqgfeJGe/aqs0lwzFY/LGD0bkfWorF9RkndbieExL/wA8Rg5rdwa1Zz899EaLxRwY2Ftx/hJz n3paRVC9BilqC0rBRRRQMKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi iigAooooAKKKKACiiigAJABJ6Cufv5dRu2zGkC2W0tlyQSwPGcHpW7KA0TggkEHgVQJE0H2QIFAU /Ix+9+lHJzehLny7EltPBHBEjrEHwOc/kaVLS3i1UT2w2tKpWUr0Pp/Wq9tpGmSR/wDHpGqBMAnO R+tXmu/s8SpHFLIAdp8sAkDHB5xROnHTTYmNSWuu5Ut0drqXbuBVvLY9Mjrn9a0QABgUxSWkz82A o+91z3zj8Kkpt3KitAooopFBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQ AUUUUAFFFFABRRRQAUUUUAFIzKi5YgD3qnqP2lYkktmGUcFlJwGHenwTJelwVz5XXPY+lVy6XJcr aAFSXcHdw5PyhW6Cql2ywFxMjsqLuDxqXYY9QBmmz2uoRss1q8O3OT5mcjParsCzx27S3BgEm3L7 Mn6YrOm5u/MrWYp8qtZ3K1tOZbXeGLR/883Gw9OnOMfjU0VxcS2bSGMRbTgE/wAQ7UyKyW5tm+0W 6sHbIUnOPrUN5LbabbMhmjhjDKq7m+XOOlbNpMzs7FiCedJFWVU2P3B5/wDr1erHm1W1KIxuYQoA KkOO/StC0u4rpG2SRuyHDbGzg0ppKzRcJN6MsUUUVBoFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAF FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRQRkYNADIkN2hySsZzyO9VzZtbviBigI+bAGH5 6n3p0UosS0TBtjt8mO3tUKaitzftbYCbW4Vict71fs3JabGLnyvUvzXUKSKm9dzDgViRfbrfxHlp xLbTqQSOi46CptT1CGzkKGJ2fPPloWxnpTdNcBneZnkfdk/uyoHpjNZVqSnKK1XXTy6P1NKVTkjJ 6O+mv5/I1UmC3TRdCQCOPzNVpYpjJNJEUaFmwyAckdDz9c1OZopnC7WEoHA71TmddNiZmjlcnLbY Bnaep6mrVtWQ76IgluAhAlwhGAjIeQB/kVoWrxtCoQ84yQetYIkaV2mjMsQddymZByT+PtUyXU0M sRJJd1xsQcY9acU5pOzu9P8Ag+g21BtX0N+isc6mbe2Ek7unOPmXJz+Apy6lGVaRblcZA+YcVp7C V7C9tHc1qKrWt2k4I3qW9j1qzWTTi7M0TTV0FFFFIYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUU UUAFFFFABRRRQAUUUUAFFFFABRRRQBXu0ZghB4Dc1SaD/ibRSJDIHTKlimVI+tWbwP5kJBJXPI7U l5MITulfazDoDW9NytZHPVSvqMvJ/NDxEhH+6sgHfrkf/XqKyaWW2jzMp2/Kze9V5JFNqTuPmOfm TpgAf/Xqpp000su1bZfsqk42OGGRjrj1rLlh7S99exd5eztbQ0JbuWyeWdBHI2fL255Bz1x6etRS 6kHuG/eLIxGfl9PwqKdYUeQv5mZ23Aqm7HtSwSRLHsGR5nQlCDmpjDlV1v26FOSlp+JH9utGufsk k8KFWAZHlUHnpx/nrU1tLCdXkskbEmeGYdvaj7Pbz362pt0Ziu8uw9MAVL4gtWi0wNbW4mmDDD55 Uj6UsRWnCHNTeq3VunYqhShOfLPrtr+JpLprFGDz+YT0ITbiop/D9vdSBpS2FGAoOKx7HXdXtkRt TijWEjAKKSfxqbV9dukhj8j92JOd2OSK6MNUlWlam9fuMK9NUlea0MjU4pND1VBavvx82M/d9jWj F4kmnuoo0hUBsKQT3rn5HeaRpHJZ2OST3rf0nw7ctPHPORGikMB1Jr1q1KlGCdZ3djgp1Kjlanoj ZNxMQMFVP0zT4JXMmwndxk+1WXsFK/I2D71DboVDEnPzEcexxXkScOXRHoQ53LVk9FFFYm4UUUUA FFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAENwC4WMdSaq3EMkUeWjY/Tn mrU8QkKHOCGH4jPSq00V/AJBG0flnGBuJH+P61canKjKcOZmXfpHsgR7WWd3Y7zExAXA6HnpU+k2 kUFg80aPDvYu0T5JB6flUtvbztciTZCWUZkKk8+nBpLmKBpPtMt3NbBGDFY2GG9iCOn0pQtO9RBK 8fcZjanqiW+mv9lvD9ojwpwPX8Ku2dz9osYbeV2eaJfmkxgqf61Bqbx3cKv5ZFoh3sVwGc+mKuwa il2wNtAAVx5m4lWH6VytujXu9ZNaLX5nUl7WjaO19WVLVIv7TdZJ5WuI2yD2KkDg10M9xCbfbscP j5cjqai/tCytJkjC/v3BIJXkgH1/Go7y4FxKCFwFGKeIqVKFOVR2u3/X4GdKMK01BbJGfetI9nLu Yj5ei8Vt3OiWd0YzKrHZ2B61i3hH2OXn+GurrPLsRWnzSlJ3KxlGnG0YrQpS6ZAYVSGOOJl+6wjU kfmKmtop4gwmuDNn7uVAx+QpZbqKFwjNmQ9EUZJpq3TscC2mHOPmx+fWu5tvc5bWLFVNu0sM55P8 6ULcTqS0gi548s7uPxFQtIIrrySSxcbt3v6VLLhuS0UUUjQKKKKACiiigAooooAKKKKACiiigAoo ooAKKKKACiiigAooooAKKKKACkJA6nFDHCk0x1j+z7ZGPzg85ppXJcrFV7mXzi8UgCjgcZFEn2u8 8oi6EKo3zhV++P6VLcRmWABF2OABuzxVCC1v44sy3rO4bKhQFB9sVVRRlTtYiEmp3uaPzRO6sCY5 R8r+h54NVNS0wXNl5MYBbIOOpbvjPapJczoI7jeuWxtT6dc/iadZxpaXW3L7O29icH8aEum4m+pl XdqTp80QUiQclcdx2qjb69JHiN4kEeACVHPFO1y7u7fVZoxKVXORjjg1m2Vqb+5aPfsIXdnGa9in Sj7JSqK6PPnOXPywN6z1GG9kYbCpUZ59KtLJAwZ0+cL12jNZn9nNYRs8SmV2xkucACoLbxEocxyK jEf3DXLVwsa0rw2N6eIdJWlual1IJrKRY4ZCzLwChB/WthtXtXRlhkJl25ClSD1x0rnjr0G4DY23 HJqq+t2lucxJlSckE96ynhJQV0jSNeM3ZnS2DxQo/mMCwOS+OeatJf2kkoh+1Q+aefLEg3Y+lYlh dm6sxN5YTcTgA5yKtxOI2B8tM/3sc1yHQ4mv5mB8i8dqoLGHuXZshgc4P86sx3ETsFDcnpTJpUZ8 I2SG2kr2+tBMdGPopAcjIpaRqFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFF FADXQPgMCVzyAxH8qr3EE73ES2skAt1U7kZSWz7c1aqKSEsQ0beXIP4gKadiZRuIq7ZhkDnGVA4q lcS5E0krARxHGScVYaWS1YvI+8444xn2qO500XlrsDgow5zxg1rB+9eWxjNaWW5DYzvfu15MxZAP 3cKnAxnqauzuG/eKAR2PcGuLuBP4ZnM6TZTONyhpFOfYdK1dL1+LVCwYbHzgDBG78CBXTKg+bni0 4+Riqitytam9c6XY6sBJIv7zABZTg1Qj0BNKlNxHLJICNrBsce9WopWjO5TzUc2tPMTbf2fcrngu wXYf/Hs/pUc1SPup6DtGWrWpHcyRRwOZQGTHKnnIrj5o7X7S8ltAkSt2VQP5V2P2ePjK7sAgZ5wD WLc6IRdb1lVbdm54OVzXZh6kKbbkc9WEp2UTnZA0zOEkICjBC9zXV+G/C1u1mbm+gDNKPlU8YHrW QdIureX93bGRd/zFSMkevJrvbC7W6h4hki28bZMZx+BNebmWGo168Kzleytbp62O/BYmtRoypJWu 9+v3lOLRreyTy45JSh6Kz52/SphbRAYwfzqV2V5SrqzFTjjgCoo9wuJQEZYuNuTnJ74rBRUVZGvM 5O7D7NGJFcZyvbPFSMgMZUcentTqKYyC23LvjYg7TwR3B/yanpFVVGFAFLQAUUUUAFFFFABRRRQA UUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFACMqt94A/WmpEiEbRjHSn0UAZ2o6RDfoBny 3BzuA61z8nh+/ty8kQB2H5Sh5P0rsaK6aWKqU1yp6GFTDwm7vc5O01dYwILsyLIDhnP9a2F2yICr hlPII5pdS0+C4aOV4QxB+Yjjiks7azTG2NUjbHMfy/yqp4iG6REaElo2PAwOuahuLiGHakp5kO0K BkmovEQudOt4rm0lJTfh1Iz16f1rlbfVZV1NLq5JcgbSOmBXmYjOaNGfs2nfT0t3O/D5TVrQ9omr a+t+x1KrLEPlwEHRSc4qa3uFkAKuA/dQeQajgvraZEZZVw5woJxmrLW0VyQksYcYJxjvW6mp6xZl KLhpJF2BmZSXByTnnvUtQtdWxgSAHbIANisME49PyNSqQygjvVMmLuLRRRSKCiiigAooooAKKKKA CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKpXcQiTzIvl+bLDGc 1dooAow3e+ILIqyR57r/AI1W1jQYdTsC1mkUU4+ZSFxuOOhxVmWKYTMREWUnjaRx+dPQXUbYi+X3 Y8VhWw1OquWa0ZpTrTpPmg7M4rRPDWq3czNeIkKROFYAkH3wa7e3sRZFAJpZcZ5kIJqdXnVdpKOf 73SsnX5L4afi3SRpAQS8f68dawo4algqTlBXa+9m1XEVcXUUZuyf3I2XAKMzAHAzyKZGMRr06dq8 /sNQ1GfUoLdrmb5pACucH3r0IcCqwWNji4uUYtWdtRYrBSwslGTvcKKKK7DmCiiigAooooAKKKKA CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAqOeQxQ s4XcQOB6mpKjkVmzhQcjAyelAnpsc/YaOw1ZL64lzMSWKhcgfj+NdJVO2B+0NngouCM+vt+FXKmN CnRvGmtN/n3LlWqVrSqPUKKKKokKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigBMAEkAZPU0tFFABRRRQAUUUUAFFFFABRRRQ AUUUUAFFFFAH/9k=