diff --git a/cron/generate.bash b/cron/generate.bash
index 8e0b569..201740b 100644
--- a/cron/generate.bash
+++ b/cron/generate.bash
@@ -1,6 +1,14 @@
 #!/bin/bash
+# Create the output folder if it doesn't exist
+rm -rf ../output
+mkdir -p ../output
+
+# Generate graphs for the Catalonia health areas
 php generateData.php
 gnuplot generateGraphs.gnu
-mkdir -p ../output
 mv /tmp/covid19graphgenerator-output.png ../output/graph.png
 mv /tmp/covid19graphgenerator-output.svg ../output/graph.svg
+
+# Generate graphs for each custom area defined in
+# config/customAreas.php
+php generateCustomData.php
diff --git a/cron/generateCustomData.php b/cron/generateCustomData.php
new file mode 100644
index 0000000..5be2bc0
--- /dev/null
+++ b/cron/generateCustomData.php
@@ -0,0 +1,63 @@
+<?php
+if (php_sapi_name() != "cli")
+  exit();
+
+require_once(__DIR__."/../config/config.php");
+require_once(__DIR__."/includes/generation.php");
+
+// Funció que retorna el nombre d'habitants a les ABS donades via una
+// API de la Generalitat de Catalunya
+function habitants($abs) {
+  $data = query("SELECT sum(poblacio_oficial) AS habitants
+  WHERE
+    abs_codi in(".implode(",", array_map(function($abs) { return "'".$abs."'"; }, $abs)).") AND
+    any = 2020", "ftq4-h9vk");
+
+  return ($data[0]["habitants"] ?? null);
+}
+
+if (isset($conf["customAreas"])) {
+  // A cada ciutat
+  foreach ($conf["customAreas"] as $area) {
+    // Si no hi ha cap ABS configurada no fem res
+    if (count($area["abs"]) == 0) {
+      echo "[Warning] There aren't any ABS configured for ".$area["name"].".\n";
+      continue;
+    }
+
+    // Demanem una llista del nombre de casos cada dia
+    $data = query("SELECT data, sum(numcasos) AS sum_numcasos
+    WHERE
+      resultatcoviddescripcio = 'Positiu PCR' AND
+      abscodi in(".implode(",", array_map(function($abs) { return "'".$abs."'"; }, $area["abs"])).")
+    GROUP BY data
+    ORDER BY data ASC
+    LIMIT 50000");
+
+    // Obtenim el nombre d'habitants a les ABS
+    $habitants = habitants($area["abs"]);
+    if ($habitants === null) {
+      echo "[Fatal error] Failed getting population for ".$area["name"].".\n";
+      continue;
+    }
+
+    // Generem les dades
+    $summary = generateSummary($data, $habitants);
+
+    // Les escribim en un fitxer
+    $file = tmpfile();
+    $fileName = stream_get_meta_data($file)['uri'];
+
+    foreach ($summary as $row)
+      fwrite($file, $row["data"]." ".$row["ia14"]." ".$row["rho7"]."\n");
+
+    // Cridem al gnuplot perquè generi la gràfica
+    shell_exec("gnuplot -c generateCustomGraph.gnu \"".escapeshellcmd($area["name"])."\" \"".escapeshellcmd($area["codename"])."\" \"".escapeshellcmd($fileName)."\"");
+    rename("/tmp/covid19graphgenerator-area-".$area["codename"]."-graph.png", __DIR__."/../output/area-".$area["codename"]."-graph.png");
+    rename("/tmp/covid19graphgenerator-area-".$area["codename"]."-graph.svg", __DIR__."/../output/area-".$area["codename"]."-graph.svg");
+
+    fclose($file);
+  }
+} else {
+  echo "[Warning] The config/customAreas.php file doesn't define the customAreas field.";
+}
diff --git a/cron/generateCustomGraph.gnu b/cron/generateCustomGraph.gnu
new file mode 100644
index 0000000..7f1e73f
--- /dev/null
+++ b/cron/generateCustomGraph.gnu
@@ -0,0 +1,17 @@
+name = ARG1
+codeName = ARG2
+fileName = ARG3
+
+filesPrefix = '/tmp/covid19graphgenerator-'
+
+set terminal svg size 500, 500
+set output '/tmp/covid19graphgenerator-area-'.codeName.'-graph.svg'
+
+set pointsize 0.75
+load "includes/plotCustomGraph.gnu"
+
+set terminal png size 500, 500
+set output '/tmp/covid19graphgenerator-area-'.codeName.'-graph.png'
+
+set pointsize 1
+load "includes/plotCustomGraph.gnu"
diff --git a/cron/generateData.php b/cron/generateData.php
index 489b702..996fdcd 100644
--- a/cron/generateData.php
+++ b/cron/generateData.php
@@ -29,28 +29,7 @@
   "Metropolità Nord" => "MetropolitaNord",
 ];
 
-// Funció per obtenir el nombre de casos nous al dia originalDay+translation
-// a partir de les dades de la regió sanitaria (dataRegio).
-function getSumDay($originalDay, $translation, &$dataRegio) {
-  if ($translation >= 0)
-    $day = (clone $originalDay)->add(new DateInterval("P".abs($translation)."D"));
-  else
-    $day = (clone $originalDay)->sub(new DateInterval("P".abs($translation)."D"));
-
-  foreach ($dataRegio as $row) {
-    $rowDay = new DateTime($row["data"]);
-    if ($day == $rowDay) return $row["sum_numcasos"];
-  }
-
-  return 0;
-}
-
-// Funció per fer una consulta a la taula de dades
-function query($soql) {
-  $url = "https://analisi.transparenciacatalunya.cat/resource/xuwf-dxjd.json?\$query=".urlencode($soql);
-  $raw = file_get_contents($url);
-  return json_decode($raw, true);
-}
+require_once(__DIR__."/includes/generation.php");
 
 // Demanem una llista del nombre de casos cada dia a cada regió sanitària
 $data = query("SELECT data, regiosanitariadescripcio AS regio, sum(numcasos) AS sum_numcasos
@@ -74,97 +53,8 @@
   if (!in_array($regio, array_keys($CODENAME)))
     die("[fatal error] No tenim contemplada la regió '".$regio."'.\n");
 
-  $summary[$regio] = [];
-
-  // Veiem quin és el primer i l'últim dia de la sèrie
-  $oldestDay = new DateTime("today");
-  $newestDay = new DateTime();
-  $newestDay->setTimestamp(0);
-
-  foreach ($dataRegio as $row) {
-    $date = new DateTime($row["data"]);
-    if ($date < $oldestDay) $oldestDay = $date;
-    if ($date > $newestDay) $newestDay = $date;
-  }
-
-  // Si l'últim dia és avui, posem que sigui ahir, perquè no volem informació
-  // incompleta sobre avui.
-  if ($oldestDay == (new DateTime("today")))
-    $oldestDay = new DateTime("yesterday");
-
-  // Ara calculem les rhos.
-  $rhos = [];
-
-  // Considerem cada dia a partir de 6 dies després del primer dia, i fins al
-  // dia anterior a l'últim dia (extrems inclosos)
-  for ($currentDate = (clone $oldestDay)->add(new DateInterval("P6D"));
-  $currentDate < $newestDay;
-  $currentDate->add(new DateInterval("P1D"))) {
-    // Calculem la rho (velocitat reproductiva efectiva) per aquell dia.
-    // Fórmula: https://biocomsc.upc.edu/en/shared/avaluacio_risc.pdf
-    $num = getSumDay($currentDate, 1, $dataRegio) +
-           getSumDay($currentDate, 0, $dataRegio) +
-           getSumDay($currentDate, -1, $dataRegio);
-
-    $den = getSumDay($currentDate, -4, $dataRegio) +
-           getSumDay($currentDate, -5, $dataRegio) +
-           getSumDay($currentDate, -6, $dataRegio);
-
-    if ($num != 0 && $den == 0) continue;
-
-    $rho = ($num == 0 ? 0 : $num/$den);
-
-    $rhos[] = [
-      "data" => $currentDate->format("c"),
-      "rho" => $rho
-    ];
-  }
-
-  // Considerem cada dia a partir de 13 dies després del primer dia, i fins el
-  // dia anterior a l'últim dia (extrems inclosos)
-  for ($currentDate = (clone $oldestDay)->add(new DateInterval("P13D"));
-    $currentDate < $newestDay;
-    $currentDate->add(new DateInterval("P1D"))) {
-    // Calculem Rho_7 i IA_14
-    // Rho_7(t) := \sum_{i=0}^{7} Rho(t - i)
-    // IA_14(t) := \sum_{i=0}^{14} N(t - i),
-    //   on N(j) és el nombre de casos nous confirmats per PCR el dia j.
-    $sum = 0;
-
-    $p13Date = (clone $currentDate)->sub(new DateInterval("P13D"));
-    $p6Date = (clone $currentDate)->sub(new DateInterval("P6D"));
-
-    foreach ($dataRegio as $row) {
-      $date = new DateTime($row["data"]);
-      if ($date >= $p13Date && $date <= $currentDate) {
-        $sum += $row["sum_numcasos"];
-      }
-    }
-
-    $rhoAverage = 0;
-    $rhoCount = 0;
-
-    foreach ($rhos as $row) {
-      $date = new DateTime($row["data"]);
-      if ($date >= $p6Date && $date <= $currentDate) {
-        ++$rhoCount;
-        $rhoAverage += $row["rho"];
-      }
-    }
-
-    // Si no hem trobat rhos (rhoCount == 0) és perquè el numerador no era 0
-    // però el denominador era sempre 0 al calcular les rhos. Aleshores, tot i
-    // que no poguem calcular la rho_7 a causa de no poder calcular les rho_t
-    // individuals, aquest fet ens indica que el creixement ha sigut altíssim,
-    // i per tant posem una rho_7 de 1000000000, que se surt de la gràfica.
-    $rhoAverage = ($rhoCount == 0 ? 1000000000 : $rhoAverage/$rhoCount);
-
-    $summary[$regio][] = [
-      "data" => $currentDate->format("d/m/y"),
-      "ia14" => $sum*(1e5/$HABITANTS[$regio]),
-      "rho7" => $rhoAverage
-    ];
-  }
+  // Generem les dades
+  $summary[$regio] = generateSummary($dataRegio, $HABITANTS[$regio]);
 }
 
 // Posem les dades a diversos fitxers per tal que les pugui llegir el gnuplot
diff --git a/cron/generateGraphs.gnu b/cron/generateGraphs.gnu
index abd2f83..665641d 100644
--- a/cron/generateGraphs.gnu
+++ b/cron/generateGraphs.gnu
@@ -4,10 +4,10 @@
 set output '/tmp/covid19graphgenerator-output.svg'
 
 set pointsize 0.75
-load "plot.gnu"
+load "includes/plotAllGraphs.gnu"
 
 set terminal png size 1600, 1600
 set output '/tmp/covid19graphgenerator-output.png'
 
 set pointsize 1
-load "plot.gnu"
+load "includes/plotAllGraphs.gnu"
diff --git a/cron/includes/generation.php b/cron/includes/generation.php
new file mode 100644
index 0000000..623113f
--- /dev/null
+++ b/cron/includes/generation.php
@@ -0,0 +1,124 @@
+<?php
+if (php_sapi_name() != "cli")
+  exit();
+
+// Funció per obtenir el nombre de casos nous al dia originalDay+translation
+// a partir de les dades de la regió (dataRegio).
+function getSumDay($originalDay, $translation, &$dataRegio) {
+  if ($translation >= 0)
+    $day = (clone $originalDay)->add(new DateInterval("P".abs($translation)."D"));
+  else
+    $day = (clone $originalDay)->sub(new DateInterval("P".abs($translation)."D"));
+
+  foreach ($dataRegio as $row) {
+    $rowDay = new DateTime($row["data"]);
+    if ($day == $rowDay) return $row["sum_numcasos"];
+  }
+
+  return 0;
+}
+
+// Funció per fer una consulta a la taula de dades
+function query($soql, $resource = "xuwf-dxjd") {
+  $url = "https://analisi.transparenciacatalunya.cat/resource/".$resource.".json?\$query=".urlencode($soql);
+  $raw = file_get_contents($url);
+  if ($raw === false) return null;
+  return json_decode($raw, true);
+}
+
+// Funció per generar les dades de cada regió
+function generateSummary(&$dataRegio, $habitants){
+  $summary = [];
+
+  // Veiem quin és el primer i l'últim dia de la sèrie
+  $oldestDay = new DateTime("today");
+  $newestDay = new DateTime();
+  $newestDay->setTimestamp(0);
+
+  foreach ($dataRegio as $row) {
+    $date = new DateTime($row["data"]);
+    if ($date < $oldestDay) $oldestDay = $date;
+    if ($date > $newestDay) $newestDay = $date;
+  }
+
+  // Si l'últim dia és avui, posem que sigui ahir, perquè no volem informació
+  // incompleta sobre avui.
+  if ($oldestDay == (new DateTime("today")))
+    $oldestDay = new DateTime("yesterday");
+
+  // Ara calculem les rhos.
+  $rhos = [];
+
+  // Considerem cada dia a partir de 6 dies després del primer dia, i fins al
+  // dia anterior a l'últim dia (extrems inclosos)
+  for ($currentDate = (clone $oldestDay)->add(new DateInterval("P6D"));
+  $currentDate < $newestDay;
+  $currentDate->add(new DateInterval("P1D"))) {
+    // Calculem la rho (velocitat reproductiva efectiva) per aquell dia.
+    // Fórmula: https://biocomsc.upc.edu/en/shared/avaluacio_risc.pdf
+    $num = getSumDay($currentDate, 1, $dataRegio) +
+           getSumDay($currentDate, 0, $dataRegio) +
+           getSumDay($currentDate, -1, $dataRegio);
+
+    $den = getSumDay($currentDate, -4, $dataRegio) +
+           getSumDay($currentDate, -5, $dataRegio) +
+           getSumDay($currentDate, -6, $dataRegio);
+
+    if ($num != 0 && $den == 0) continue;
+
+    $rho = ($num == 0 ? 0 : $num/$den);
+
+    $rhos[] = [
+      "data" => $currentDate->format("c"),
+      "rho" => $rho
+    ];
+  }
+
+  // Considerem cada dia a partir de 13 dies després del primer dia, i fins el
+  // dia anterior a l'últim dia (extrems inclosos)
+  for ($currentDate = (clone $oldestDay)->add(new DateInterval("P13D"));
+    $currentDate < $newestDay;
+    $currentDate->add(new DateInterval("P1D"))) {
+    // Calculem Rho_7 i IA_14
+    // Rho_7(t) := \sum_{i=0}^{7} Rho(t - i)
+    // IA_14(t) := \sum_{i=0}^{14} N(t - i),
+    //   on N(j) és el nombre de casos nous confirmats per PCR el dia j.
+    $sum = 0;
+
+    $p13Date = (clone $currentDate)->sub(new DateInterval("P13D"));
+    $p6Date = (clone $currentDate)->sub(new DateInterval("P6D"));
+
+    foreach ($dataRegio as $row) {
+      $date = new DateTime($row["data"]);
+      if ($date >= $p13Date && $date <= $currentDate) {
+        $sum += $row["sum_numcasos"];
+      }
+    }
+
+    $rhoAverage = 0;
+    $rhoCount = 0;
+
+    foreach ($rhos as $row) {
+      $date = new DateTime($row["data"]);
+      if ($date >= $p6Date && $date <= $currentDate) {
+        ++$rhoCount;
+        $rhoAverage += $row["rho"];
+      }
+    }
+
+    // Si no hem trobat rhos (rhoCount == 0) és perquè el numerador no era 0
+    // però el denominador era sempre 0 al calcular les rhos. Aleshores, tot i
+    // que no poguem calcular la rho_7 a causa de no poder calcular les rho_t
+    // individuals, aquest fet ens indica que el creixement ha sigut altíssim,
+    // i per tant posem una rho_7 de 1000000000, que se surt de la gràfica.
+    $rhoAverage = ($rhoCount == 0 ? 1000000000 : $rhoAverage/$rhoCount);
+
+    $summary[] = [
+      "data" => $currentDate->format("d/m/y"),
+      "ia14" => $sum*(1e5/$habitants),
+      "rho7" => $rhoAverage
+    ];
+  }
+
+  return $summary;
+}
diff --git a/cron/plot.gnu b/cron/includes/plotAllGraphs.gnu
similarity index 71%
rename from cron/plot.gnu
rename to cron/includes/plotAllGraphs.gnu
index 92db98a..ae0914e 100644
--- a/cron/plot.gnu
+++ b/cron/includes/plotAllGraphs.gnu
@@ -20,8 +20,9 @@
 
 do for [i = 1:n] {
   lastUpdated = system("tail -n 1 ".filesPrefix.fileNames[i]." | awk '{print $1;}'")
-  set title prettyNames[i]."\n{/*0.4 Última dada (punt negre): ".lastUpdated."}"
-  plot 6*x w filledcurve y1=0 lt rgb "#ff9494", 100/x w filledcurve y1=0 lt rgb "#ffe494", 70/x w filledcurve y1=0 lt rgb "#dbff94", 30/x w filledcurve y1=0 lt rgb "#a0ff94", filesPrefix.fileNames[i] u 2:3 w lp pt 6 lt rgb "black", "< tail -n 1 ".filesPrefix.fileNames[i] u 2:3 w lp pt 7 lt rgb "black"
+  graphTitle = prettyNames[i]
+  graphDataFile = filesPrefix.fileNames[i]
+  load "includes/plotSingleGraph.gnu"
 }
 
 unset multiplot
diff --git a/cron/includes/plotCustomGraph.gnu b/cron/includes/plotCustomGraph.gnu
new file mode 100644
index 0000000..acf66aa
--- /dev/null
+++ b/cron/includes/plotCustomGraph.gnu
@@ -0,0 +1,19 @@
+set xlabel "Casos actius per 10^5 habitants"
+set ylabel "Mitjana taxa de creixement darrers 7 dies"
+set title font "Helvetica,20"
+
+set yrange[0:5]
+set xrange[0:800]
+set samples 400
+
+set key off
+set tics out scale 0.5,0.2
+
+min(a, b) = (a < b ? a : b)
+
+# The different colored areas correspond to the classification of the EPG values defined on page 8 at https://biocomsc.upc.edu/en/shared/20200506_report_web_51.pdf
+
+lastUpdated = system("tail -n 1 ".fileName." | awk '{print $1;}'")
+graphTitle = name
+graphDataFile = fileName
+load "includes/plotSingleGraph.gnu"
diff --git a/cron/includes/plotSingleGraph.gnu b/cron/includes/plotSingleGraph.gnu
new file mode 100644
index 0000000..152fd11
--- /dev/null
+++ b/cron/includes/plotSingleGraph.gnu
@@ -0,0 +1,2 @@
+set title graphTitle."\n{/*0.4 Última dada (punt negre): ".lastUpdated."}"
+plot 6*x w filledcurve y1=0 lt rgb "#ff9494", 100/x w filledcurve y1=0 lt rgb "#ffe494", 70/x w filledcurve y1=0 lt rgb "#dbff94", 30/x w filledcurve y1=0 lt rgb "#a0ff94", graphDataFile u 2:3 w lp pt 6 lt rgb "black", "< tail -n 1 ".graphDataFile u 2:3 w lp pt 7 lt rgb "black"