Posted on Wed 27 January 2016

Shapefiles from the 2015 Population Survey

Streets and Services in the DF

The INEGI just published the results of the latest population survey along with updated shapefiles to reflect the changes to the Mexican population. At the end of this post you’ll find a script to download the updated manzanas (blocks), urban AGEBs, rural AGEBs, municipios, streets (ejes viales), states, services, and localities (localidades). It’s 7GB of the latest shapefiles available for free!

If you don’t know how to run the script or prefer to simply download the data, you can subscribe to my newsletter (one email per post) and you’ll get the shapefile download links directly in your inbox as a bonus.


States and municipios of Mexico

The script creates a directory for each of the 32 states and Federal District where you’ll find all the shapefiles.

File Description
entidad Entidad (states)
municipio Municipio (counties)
localidad_urbana_y_rural_amanzanada Localidad Urbana y Rural Amanzanada
localidad_rural_no_amanzanada Localidad Rural
ageb_urbana Área Geoestadística Básica (AGEB) [census tracts]
ageb_rural Área Geoestadística Básica Rural (AGEB) [census tracts]
manzana Polígonos de Manzanas (census blocks)
frentes_de_manazana Frentes de Manzana (census blocks)
eje_vial Ejes de vialidad (streets)
servicios_area Servicios con Información complementaria de tipo Área (Áreas Verdes, Camellones, glorietas)
servicios_linea Servicios con Información complementaria de tipo Línea (Ríos, Ferrocarriles)
servicios_puntual Servicios con Información complementaria de tipo Puntual (Palacios Municipales o Ayudantías, Parques o Jardines)
territorio_insular Territorio Insular (insular territory)

The shapefiles didn’t change much from 2010 to 2015, but there were a few changes. Here’s and example of new services in Cancún (new ones are yellow):

Cancún

Like I said, there weren’t that many changes. Urban and rural AGEBs in Jalisco:

Jalisco

Urban AGEBs and roads in Baja California:

Baja California AGEB

Manzanas (blocks) in Morelos:

Morelos

Roads, localidades, rural and urban AGEBs in Acapulco:

Acapulco

Since the shapefiles are divided by state, you can use the bash code below to merge all the individual state shapefiles into one big national file.

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#! /bin/bash
# The filename of the merged file
FILEOUT="municipio.shp"
# The names of the files to merge, you can change this to
# "*entidad.shp" or "*eje_vial.shp", etc
TYPE="*municipio.shp"
for i in $(find . -maxdepth 3  -name $TYPE)
do
    if [ -f "$FILEOUT" ]
    then
        echo "adding state $i to $FILEOUT"
        ogr2ogr -f 'ESRI Shapefile' -update -append $FILEOUT $i -nln $(basename -s .shp $FILEOUT)
    else
        echo "startin merge..."
        echo "adding state $i to $FILEOUT"
        ogr2ogr -f 'ESRI Shapefile' $FILEOUT $i
    fi
done

All shapefiles come from the INEGI’s “Cartografía Geoestadística Urbana y Rural Amanzanada. Cierre de la Encuesta Intercensal 2015.” Here’s the code to download them:

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#! /bin/bash
# Author: Diego Valle-Jones
# Web: https://www.diegovalle.net
# LICENSE: Apache 2.0
# Purpose: Download shapefiles of manzanas (blocks), agebs (census areas), ejes
# viales (streets), interesting areas and a whole bunch of other stuff from
# the Encuesta Intercensal 2015


# As of now, this script has not been tested on Windows,
# only on Ubuntu and Macs. The script will create a directory
# called 'shps' where all the shapefiles are located, if something
# goes wrong when dowloading be sure to delete it and try again

#Exit on error
set -e

# Projection compatible with Google Maps
PROJECTION="+proj=longlat +ellps=WGS84 +no_defs +towgs84=0,0,0"
# wget command
CURL="curl"

#The way the INEGI download url starts
URL="http://internet.contenidos.inegi.org.mx/contenidos/productos//prod_serv/contenidos/espanol/bvinegi/productos/geografia/Cinter_2015/"
#File ends in
SUFFIX="_s.zip"

#States as numbers
#I have no idea why the INEGI used these numbers to represent the states
declare -a states_numbers=("702825209025" "702825209032" "702825209049" "702825209056" "702825209087" "702825209094" "702825209063" "702825209070" "702825209100" "702825209117" "702825209124" "702825209131" "702825209148" "702825209155" "702825209162" "702825209179" "702825209186" "702825209193" "702825209209" "702825209216" "702825209223" "702825209230" "702825209247" "702825209254" "702825209261" "702825209278" "702825209285" "702825209292" "702825209308" "702825209315" "702825209322" "702825209339")

#State names in the URL
declare -a state_names=("Aguascalientes" "Baja_California" "Baja_California_Sur" "Campeche" "Coahuila_de_Zaragoza" "Colima" "Chiapas" "Chihuahua" "Distrito_Federal" "Durango" "Guanajuato" "Guerrero" "Hidalgo" "Jalisco" "Mexico" "Michoacan_de_Ocampo" "Morelos" "Nayarit" "Nuevo_Leon" "Oaxaca" "Puebla" "Queretaro" "Quintana_Roo" "San_Luis_Potosi" "Sinaloa" "Sonora" "Tabasco" "Tamaulipas" "Tlaxcala" "Veracruz_de_Ignacio_de_la_Llave" "Yucatan" "Zacatecas" )

# The list of shapefiles of manzanas, agebs, etc
declare -a files=("ar.shp" "ent.shp" "lpr.shp" "m.shp" "fm.shp" "sia.shp" "sip.shp"
                   "a.shp" "e.shp" "l.shp" "mun.shp" "sil.shp" "territorioinsular.shp");

#The INEGI filenames are unreadable
declare -a files_nice=("ageb_rural.shp" "entidad.shp" "localidad_rural_no_amanzanada.shp" "manzana.shp"  "frente_de_manzana.shp" "servicios_area.shp" "servicios_puntual.shp"
                   "ageb_urbana.shp" "eje_vial.shp" "localidad_urbana_y_rural_amanzanada.shp" "municipio.shp" "servicios_linea.shp" "territorio_insular.shp");


# State abbreviations
declare -a states=("ags" "bc" "bcs" "camp" "coah" "col" "chis" "chih"
    "df" "dgo" "gto" "gro" "hgo" "jal" "mex" "mich" "mor" "nay" "nl" "oax"
    "pue" "qro" "qroo" "slp" "sin" "son" "tab" "tamps" "tlax" "ver" "yuc"
    "zac");

declare -a state_num=(`seq -s " " -w 1 32`);

# Use gdal to reproject, and then rename the shapefiles to include
# a user friendly abbreviation instead of a number
# First argument: directory of shapefiles shps/state_abbreviation
# Second argument: the state abbreviation
# Third argument: the shapefiles inside the zip file as an array
# Fourth argument: the state number
# TODO: convert the encoding from windows-1252 to utf-8
function reproject {
  name=$3[@]
  arr=("${!name}")
  len=`expr ${#files[*]} - 1`
  # Has to match he number of files in the array
  for i in `seq 0  $len`
  do
    if [ -f $1/conjunto_de_datos/$4${files[$i]} ];
    then
      echo "Creating... " "$1"/$2_${files_nice[$i]}
      ogr2ogr "$1"/$2_${files_nice[$i]} $1/conjunto_de_datos/$4${files[$i]} -t_srs "$PROJECTION"
    else
      echo "No territorio insular in " "$1"/$2_${files_nice[$i]}
    fi
  done
  rm -rf "$1"/conjunto_de_datos
}


counter=0
for state_number in "${states_numbers[@]}"
do
   FILENAME="$URL${state_names[$counter]}/$state_number$SUFFIX"
   # download the files from the inegi server.
   $CURL $FILENAME -o ${states[$counter]}.zip
   # Extract the shapefiles from the zip file
   mkdir -p shps/${states[$counter]}
   unzip -o -L ${states[$counter]}.zip -d shps/${states[$counter]}

   reproject shps/${states[$counter]} ${states[$counter]} files ${state_num[$counter]}
   counter=`expr $counter + 1`
done
# Delete the downloaded zip files
rm -rf *.zip

# You could use the code below to merge all the states into one giant
# shapefile of Mexico. Change "*localidad_urbana.shp" to
# '*ageb_urbana.shp' or '*eje_vial.shp' or whatever
#
# FILEOUT="municipio.shp"
# TYPE="*municipio.shp"
# for i in $(find . -maxdepth 3  -name $TYPE)
# do
#     if [ -f "$FILEOUT" ]
#     then
#         echo "adding state $i to $FILEOUT"
#         ogr2ogr -f 'ESRI Shapefile' -update -append $FILEOUT $i -nln $(basename -s .shp $FILEOUT)
#     else
#         echo "startin merge..."
#         echo "adding state $i to $FILEOUT"
#         ogr2ogr -f 'ESRI Shapefile' $FILEOUT $i
#     fi
# done

P.S. The frente de manzana shapefile for Sonora contains an error in its attribute table, hopefully the INEGI will fix it in a future version.

P.P.S. Unlike the 2010 census shapefiles, these ones don’t contain demographic variables. (the Encuesta Intercensal is valid for all municipios and the localidades with more than 50,000 people)



Unless otherwise stated, the content of this page is licensed under the Creative Commons Attribution 3.0 License, and code samples are licensed under the Apache 2.0 License. Privacy policy

Disclaimer: This website is not affiliated with any of the organizations or institutions to which Diego Valle-Jones belongs. All opinions are my own.

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