<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="es">
<Esri>
<CreaDate>20220427</CreaDate>
<CreaTime>10181900</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<MapLyrSync>TRUE</MapLyrSync>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>Cache_MpiosEPRazonNinosMujer_2013_Crplt</resTitle>
</idCitation>
<idAbs>El servicio geográfico representa en coropletas o colores graduados, la georreferenciación de la Razón de niños por mujeres en edad fértil, según municipio 2013. La Razón de niños por mujeres en edad fértil es un indicador que expresa la relación entre los niños y las niñas menores de 5 años y las mujeres en edad fértil, esto es, de 15 a 49 años multiplicada por 100. Los indicadores provienen de los procesos de conciliación censal y proyecciones de población para el período 1985 - 2020.</idAbs>
<searchKeys>
<keyword>demografia</keyword>
<keyword> poblacion</keyword>
</searchKeys>
<idPurp>Raz&amp;oacute;n de ni&amp;ntilde;os por mujeres en edad f&amp;eacute;rtil, seg&amp;uacute;n municipio 2013 (Versi&amp;oacute;n coropletas)</idPurp>
<idCredit>Departamento Administrativo Nacional de Estadística (DANE)</idCredit>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a
HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy
MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA
AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA
AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3
ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm
p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA
AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx
BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK
U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3
uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iii
gAooooAKKKKACiiigAoopCASDzwc9aAFooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi
iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAqpJplnNI8k1ukjv94uM/hVui
gCOGGK3iWKFFSNeAqjgVJRRQAUUUUAFFFFABRRRQAUUjOqKWZgqjqTWd/blnjO25xnGfs7/4UAaV
UNR1NNPCr5bSSOMqAcD8T2/KsrWtdvAgTRxCzc7pJlJH/ARkfmePrVPSba/1Nv8AT51eZVy8ijtn
gY/P9alvsbRpac0tjXsdaea4SGeNBvOAyZ4PbitmqVnplvZtvUM8mMb26/hV2mr9SJuLfuhRRRTI
CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK
xNR8RWdrefYjOscmDuYnGOnA/OtpjhTzjjr6Vx0UyywSROSrLlg7fe5JwfrSbsXCPMRLHLIjMLi7
khZiwJnfDDOQeD9KszSi6uLK15CklEdjk8LnnPXhevvULXLTW4WM7EZMDaenHrUulm1WLzJY0e7j
OBJJyw49f89ai508tlexFFJZT3C2wuQku/YynnB7119vbQ2seyGNUHfA5J9T61m6QsbTzyIq9ACy
rjJPPX/PWterSOepJt2YUUUUzMKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKK
KKACiiigAooooAKKKKACiiigAoqC8kkitmkjxlfmOfQdazrm++1RDyJcRt8rBeGDdcE/Si41Fsfd
X0zzSx2zgLFwW25yfT6Vz81q0kOZ3e3nwQhjC4YDvkgnqehx16d6sabHp/8AZ72bJhBJ8obndjof
8+lQOUt2dI4YyNgXKnAGCeuf88VDZ0RhZ2RnG0jsi6rdOySnc3mNiQDH0GMdeOeaTQ9tlFdlo2lj
DjY4G7cTxj27delS3sn25FeG3LMzKyvIBgDbyMenSrUKTG0mCp5hUxsyqcE9sD8QKRs5e5qb+laj
bFhaKjxv1GR94kZPTgdPX0rYrhdPN1bS7pISsyy7vmOQxz/LtXbQyiaISAEZyCD2IODVpnNWhyvQ
kooopmIUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUA
FFFFAHPa94lg05Li1jBa62gJwCvOeT9MdPcVg6PqMc0DxruF3tLtlRhiBgYx9elW/FGilr2GeOM+
U7fvGz0yeapRaXE7/uR5bQgYcfez2xz9eahs7oRp+zv1J4riCCDKSKVVQqkHPsKtWMgecGeNHDDG
CAce/wBaq3GhQ3ErSSR/vXGdwOOcj8Ola9vYC2iAjjwoHHPOKSQTlGxRutraj5aABnUHaOMnJ5pV
tp44LkpEsoJ2sA2COBg++DmtB1geNJQxiZTgsy5LDuAP89KktGje3dogUIJJyc8e9O2pk5aWKMBk
dt0kbqwAKhvTv+NbunW9rHCjwKm/b87KcnJ5OfxrIudOink8xTtkPfJwfbgj0qrb3b6dIWtwgMwG
UYliAB1zn36e9PYhpz2OuornF167HWOFvoCP61DFq9+l0ZZJ/NiJJ8naqgfjjP8A+qjmQvYzOpoq
rYXqX0G8Da44dc9DVqqM2mnZhRRRQIKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooo
oAKKKKACiiigAooooAz9bEv9lymLoMF8ddo5OK5yz2vF9uWaJIwChEjFc8j9eMfia2PFt1c2Ph24
urVhuiK7lIzvUkAj261yejWstxp+2/gCqzbth+br7fWoluddGN6bfmb1jdC7kYgL8hwNrZU5GR+o
/SpTbTiXzTeylA2fKCLgD+70zj8awLC4urXUZYra0SO3GFYbdufQg46/nxmr8l9DbSG0lF9I0e3i
O3kbcT33DOf8R9aa2JmrSNCadw3mSYWKL5CTx8xx1z17dP8A9UbXKQRmZwV7krzx6/y/OmC0jmLv
HGEdpOC4+bA45/L1qM2xjChlQl8I2Eztz7nqPwoEtidgt0YzsbYrBgWBGT/s/nWWvmySSOkalwxH
DHAUH8a1IImhdbdFaYnkrJJwAQe/pUcWnPpTeXBGrW7PlpXlwyn0xjp+NJq5UJJFWO3uZc4KY/3D
/jUgsbnu8f8A3z/9etBZkbIDg461nHUxdNItpKPLQ48xRnJ9s8YqbGqcm9Bba6n0+8zsDMvD7CMM
Pf0NbC660k4RLYbD3Z8H+RrC6Akn3JNYt14ts7FwbYfaZMdjhR9TQpWH7D2nTU746lOekUa/8CLf
0FLbz3tzIyrJCiqByYi2fb7wxXnVl4+k3EX1opUnhoTjH4H/ABr06wjMdqu7GX+c47Zq07mFai6W
jQ6JLoSZlmidMdFiKnP13H+VT0UVRzBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFF
FABRRRQAUUUUAYvi2WCLwvqH2h1UNEQuTjLfw4984ridFv7BdMgtl1EyTEfMj5BBPZa9B1XTbXUr
ZVuo0cRtvTeu4A4I6Hr1rm7jwdokhS7ktTAVG90icqvryP8ADFTJXOqhUhGLjK4semJBYK6r++c4
YyEvychQfpkfj+sdut9bMbpUjnVhwgmbKIOmA/bJP5+1ad1cwPaxIrgrK2Qy+gPJ/kPxptvHIlz5
igOhHzHGABR5E2cryY2GWT+zxNtWOZl3smc4Zjn+ZqpLJcpBDDdXcSEgbpBFt5x3JbqcHoKkYGS8
dRxBn55BgYIJ4x+XX0rR8i3nR1WJZGA/5ajdu+uaCbFK3uYUEwlkhyxG2QcZwO5/z1qDU9StYLY7
5GLclAuSGP16Vp22nBCW+zwwuepRQK5LxTNnUhb4XMS8kHueaRvRhzTsZmpaxcy20mzEaBT8q9/q
ax7bxFe2sEkUYj+c53FeV+lWLwEWcpIP3awalnpwhG1rFx9Vv3V1a8mKvwwLHmqdORGkcIgLN6Cr
Vvpl1cTrEFWMscbpGwo+pqbM0vGJTr6GtZFms4JUOUeNWXjHBFeY2vgKJ7LdPesbhuQYcFB+Yyf0
ruvDxe3tBp8tyZ2t0VVZlAO3p681pDQ8vG1I1EuXobVFFFWeeFFFFABRRRQAUUUUAFFFFABRRRQA
UUUUAFFFFABRRRQAUUUUAFFFFABRkDrRXn+s6hJeXm6UtFEkrRkt/Dxik3Y0pU3Udkbeua6kGoR2
cU6q6EMwI3Ak9Af5/iKcl3dTRlJvLTg5bYf0Ga4mwsJjdK8kebeNwxcnhxntXbzpE8G2Tc6uowEO
CxJ4GfrU3OipThBJIzbu4drtPvspAUM5AAOf5HPv0qa4hmSGOSKFJ5FxvZn2En/Z4Pvxxiq0VhHb
ztvW4DZVirytIPl9S34Voxu0s3zZ2IAY8nqCOtBL2SQxIwbWRVXa2fmX0OBx+WKdHGIYw6uxGMke
tSR43yqeCGz9QR1/p+FUdVvTYrEsckUW/ccyIXHGOMAj1pFK70RqWd8JGKNkAdKglfQvtbzukMkw
X5mVN/8AIEE/rXMNf2kgZJ5mcFedilV+mM5/OriWlm8alLeAoRx+7GMUczRbpNO+xp67eWd3od5b
woZJHhYIoiPXt2ryVbWdpRG0MitnBDKQR+delrbQI4dYIlcdGCgGs+aC0sLhriR4UjkGNsz4ye+M
5pN3NqMvZJpGJZ2DbBHbxZIA3HABPbJrrrLQbO1RZbgiZ8ZJb7v5VTGo262XnKydPlRW6+lV11t5
po1fbHEOpOTxTuEnOa02Oia9RQVjTgcDtWjolnFt+1+YHk5G1f4PY+9c3FdwTsVjkDEDJre04fZY
kuNrrv8Avk9CvrjvwOtEdzlrLljY36KKK0OQKKKKACiiigAooooAKKKKACiiigAooooAKKKKACii
igAooooAKKKKAILyKSe0kjik2ORwf6Vxl3bKzmC6Vi4OSrsc8dO9d1UVxbRXUeyVQwzkexpNXNad
TkZzNnapHARHIogdcOhQDacdj/jQ94jW8xJklhQKGzEwbJPYFRnHFa72gs9pDKIzx6AGsmJ5ZS4d
AFZmzg8DJ6A0ti787uRLPcXc3mszG3STaEMbIW6Zznr6fhUUsMK6k84e5OWDH/SHxn/dzjGe2MU7
7KY5TLC5Zs53btxP1zU8LOsmbhAN4wHAPPI4Pp1qTRJJEy+XcYdWZXHcHB/Ed6x/EllLLZpcCTcI
MlgQBwcc/pVxg9vNwcEVcjuEn+QjkjkHvQmUrwakjz+JPNnSIMAXOBk11NrE0NskbkMVGMitK10u
0s5JZIYgrSfeycjHoPQVUvLaS2DMhHkM3JzzGD/TP5Z9qGayrczMnWIrq4srgWk7o8ePlTq2BkjP
XuPyrlILNY7dmkjDyMM47/Su7KeXC6xJ8xBx7n3NcvNbS2+3zV2k5wPpSRtReljf8E6JZaja3DXk
DsYyoVGkPy5z6Gun/wCEQ0b/AJ93/wC/hrktK8O6rfRJPARBC/KyGTGfwHNdp4etL+x00wX8gd1k
Owht2F9M/XNaI4sRJqTcZ/IkstB06w8wQw8SABldiwOOnBqfU8jTbl1xvjjZ0JGcEAkVbo6jBpnI
5Nu7Mrw1qT6t4ftLuRdsjLtf0JHBI+uK1aQAKAAAAOgFLQEmm7oKKKKBBRRRQAUUUUAFFFFABRRR
QAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVA1lbO5doIyx5J21PRQBXms4pkUY2FBhSo6D0+lUZd
NmKsD5ci9fQn8P8A69a1FKxSk1scq0bI7LLAzKhP8ZLAfTv39aEjtZXIilG4dVVuR9R1FWvGOnXW
oaG/2DzPtSMCBG2Gde69enOfwrx7/SbC5ZT5tvOpIPVGU1D0O7DwdWOjPYlG1QCSfc1Xub21gkWC
ZxvkBIjCliR9B2rzOLxDq8cgcX0rMpBwxyDjjGKS11u6i1Rb26Zp3C7CW4O3NK5p9Vl1Or1A39ui
zafGjKD81ucnA9jnt7VaSeK4t1MyhSVyyOMY9etQwaxY3Cw7Z1Vpc7FY89f0rM8YqG0hBjP70cfg
aQKL0id74Y1OxvtKSO0mQtEWVoweV+Y9vStuvBfDmrJpGv2l5KJBGj4fHGVIwfr1zj2r3qtIu6OT
FUfZz0ejCiiiqOYKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoo
ooAKKKKACiiigArA8TeHbTWbFibf/SQwIkjADkDtk9RjtW/RQVGTi7o8nuPCECxuqSTrOowBJjr2
zxXLz20tpLJBcIysvOPxxke1eyX2j3M9600UkZWQgnfwV6Dt1/SqLeEY72YNfxwMo4ypJJGc4zxi
s+Vno08YkveZ5Hwg7Fv5VZm1G6urRbaWTfGhyoI5/P8AGvRrn4aafLeiSC6lgt/4ogNx/Bj/APXr
J1v4d3VvI8ukN50G3Plu3zg+g45/nRys2WLoyaucXZW5ur+3gwf3sqp+ZxX0DXjHg6yefxhZwzKy
mFzI6sMEFQSP1xXs9VA5cfK80vIKKKKo4AooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKA
CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKztX1FbG3RFcLc3DeVBkZ+Yjrj0HWtGsX
UvDkOpava6k91OklspCIpGz64x+dDKhy394z/DugW2n6kblS8tyY282Z2JLEkc49+fyrqqyrP7XD
O6/Y2IJVWfeAB9PUc1q0lsOpJyldhRRRTICiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo
AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA
ooooAKKKKAP/2Q==</Data>
</Thumbnail>
</Binary>
</metadata>
