diff --git a/3_visualize.R b/3_visualize.R
index 61c24b1abf3d0cca9f07cd00875e97dd2c0d6cc4..efb267f8e32f7e281d11122a3a303b0dfeed87f8 100644
--- a/3_visualize.R
+++ b/3_visualize.R
@@ -4,7 +4,7 @@ source('3_visualize/src/plot_utils.R')
 # For case studies approach: select one demographic characteristic (hispanic/latino), 
 p3_targets <- list(
   tar_target(
-    p3_med_income_png,
+    p3_med_income_png_en,
     plot_census_map(
       census_data = p2_perc_census_acs5_layers_sf[[2]],
       lim_vals = c(0, 155000),
@@ -12,7 +12,7 @@ p3_targets <- list(
       dollar_leg = TRUE,
       var = 'estimate',
       conus_sf = p1_conus_sf,
-      outfile_path = "3_visualize/out/med_income_census_2022.png",
+      outfile_path = "3_visualize/out/med_income_census_2022_en.png",
       leg_title = "Median household income, 2022",
       viz_config_df = p0_viz_config_df,
       viz_config_pal = p0_viz_config_pal$socioeconomic_status,
@@ -25,7 +25,7 @@ p3_targets <- list(
     format = "file"
   ),
   tar_target(
-    p3_perc_latino_png,
+    p3_perc_latino_png_en,
     plot_census_map(
       census_data = p2_perc_census_acs5_layers_sf[[4]],
       percent_leg = TRUE,
@@ -34,7 +34,7 @@ p3_targets <- list(
       break_vals = c(0, 25, 50, 75, 100),
       var = 'percent',
       conus_sf = p1_conus_sf,
-      outfile_path = "3_visualize/out/perc_hispanic_census_2022.png",
+      outfile_path = "3_visualize/out/perc_hispanic_census_2022_en.png",
       leg_title = "Percent Hispanic, 2022",
       viz_config_df = p0_viz_config_df,
       viz_config_pal = p0_viz_config_pal$demographic_characteristics,
@@ -47,7 +47,7 @@ p3_targets <- list(
     format = "file"
   ),
   tar_target(
-    p3_avg_household_size_png,
+    p3_avg_household_size_png_en,
     plot_census_map(
       census_data = p2_census_acs5sub_household_data[[1]],
       percent_leg = FALSE,
@@ -55,7 +55,7 @@ p3_targets <- list(
       lim_vals = c(1, 5),
       var = 'estimate',
       conus_sf = p1_conus_sf,
-      outfile_path = "3_visualize/out/avg_household_size_2022.png",
+      outfile_path = "3_visualize/out/avg_household_size_2022_en.png",
       leg_title = "Average household size, 2022",
       viz_config_df = p0_viz_config_df,
       viz_config_pal = p0_viz_config_pal$demographic_characteristics,
@@ -68,7 +68,7 @@ p3_targets <- list(
     format = "file"
   ),
   tar_target(
-    p3_median_rent_png,
+    p3_median_rent_png_en,
     plot_census_map(
       census_data = p2_census_acs5sub_household_data[[2]],
       percent_leg = FALSE,
@@ -76,7 +76,7 @@ p3_targets <- list(
       lim_vals = c(0, 3000),
       var = 'estimate',
       conus_sf = p1_conus_sf,
-      outfile_path = "3_visualize/out/median_rent_2022.png",
+      outfile_path = "3_visualize/out/median_rent_2022_en.png",
       leg_title = "Median gross rent, 2022",
       viz_config_df = p0_viz_config_df,
       viz_config_pal = p0_viz_config_pal$land_tenure,
@@ -89,7 +89,7 @@ p3_targets <- list(
     format = "file"
   ),
   tar_target(
-  p3_perc_disable_png,
+  p3_perc_disable_png_en,
   plot_census_map(
     census_data = p2_census_acs5sub_disability_data[[1]],
     percent_leg = TRUE,
@@ -98,7 +98,7 @@ p3_targets <- list(
     break_vals = c(0, 10, 20, 30, 40, 50),
     var = 'estimate',
     conus_sf = p1_conus_sf,
-    outfile_path = "3_visualize/out/perc_disabled_census_2022.png",
+    outfile_path = "3_visualize/out/perc_disabled_census_2022_en.png",
     leg_title = "Percent disabled, 2022",
     viz_config_df = p0_viz_config_df,
     viz_config_pal = p0_viz_config_pal$demographic_characteristics,
@@ -109,5 +109,113 @@ p3_targets <- list(
     barheight = 1
     ),
   format = "file"
+),
+# Spanish version's of maps -----------------------------------------------
+tar_target(
+  p3_med_income_png_es,
+  plot_census_map(
+    census_data = p2_perc_census_acs5_layers_sf[[2]],
+    lim_vals = c(0, 155000),
+    percent_leg = FALSE,
+    dollar_leg = TRUE,
+    var = 'estimate',
+    conus_sf = p1_conus_sf,
+    outfile_path = "3_visualize/out/med_income_census_2022_es.png",
+    leg_title = "Media de ingresos por hogar, 2022",
+    viz_config_df = p0_viz_config_df,
+    viz_config_pal = p0_viz_config_pal$socioeconomic_status,
+    width = p0_viz_config_df$width_desktop,
+    height = p0_viz_config_df$height_desktop,
+    font_size  = p0_viz_config_df$font_size_desktop,
+    barwidth = 20,
+    barheight = 1
+  ),
+  format = "file"
+),
+tar_target(
+  p3_perc_latino_png_es,
+  plot_census_map(
+    census_data = p2_perc_census_acs5_layers_sf[[4]],
+    percent_leg = TRUE,
+    dollar_leg = FALSE,
+    lim_vals = c(0, 100),
+    break_vals = c(0, 25, 50, 75, 100),
+    var = 'percent',
+    conus_sf = p1_conus_sf,
+    outfile_path = "3_visualize/out/perc_hispanic_census_2022_es.png",
+    leg_title = "Porcentaje de Hispanos, 2022",
+    viz_config_df = p0_viz_config_df,
+    viz_config_pal = p0_viz_config_pal$demographic_characteristics,
+    width = p0_viz_config_df$width_desktop,
+    height = p0_viz_config_df$height_desktop,
+    font_size  = p0_viz_config_df$font_size_desktop,
+    barwidth = 20,
+    barheight = 1
+  ),
+  format = "file"
+),
+tar_target(
+  p3_avg_household_size_png_es,
+  plot_census_map(
+    census_data = p2_census_acs5sub_household_data[[1]],
+    percent_leg = FALSE,
+    dollar_leg = FALSE,
+    lim_vals = c(1, 5),
+    var = 'estimate',
+    conus_sf = p1_conus_sf,
+    outfile_path = "3_visualize/out/avg_household_size_2022_es.png",
+    leg_title = "Tamaño promedio de los hogares, 2022",
+    viz_config_df = p0_viz_config_df,
+    viz_config_pal = p0_viz_config_pal$demographic_characteristics,
+    width = p0_viz_config_df$width_desktop,
+    height = p0_viz_config_df$height_desktop,
+    font_size  = p0_viz_config_df$font_size_desktop,
+    barwidth = 20,
+    barheight = 1
+  ),
+  format = "file"
+),
+tar_target(
+  p3_median_rent_png_es,
+  plot_census_map(
+    census_data = p2_census_acs5sub_household_data[[2]],
+    percent_leg = FALSE,
+    dollar_leg = TRUE, 
+    lim_vals = c(0, 3000),
+    var = 'estimate',
+    conus_sf = p1_conus_sf,
+    outfile_path = "3_visualize/out/median_rent_2022_es.png",
+    leg_title = "Alquiler bruto medio, 2022",
+    viz_config_df = p0_viz_config_df,
+    viz_config_pal = p0_viz_config_pal$land_tenure,
+    width = p0_viz_config_df$width_desktop,
+    height = p0_viz_config_df$height_desktop,
+    font_size  = p0_viz_config_df$font_size_desktop,
+    barwidth = 20,
+    barheight = 1
+  ),
+  format = "file"
+),
+tar_target(
+  p3_perc_disable_png_es,
+  plot_census_map(
+    census_data = p2_census_acs5sub_disability_data[[1]],
+    percent_leg = TRUE,
+    dollar_leg = FALSE,
+    lim_vals = c(0, 50),
+    break_vals = c(0, 10, 20, 30, 40, 50),
+    var = 'estimate',
+    conus_sf = p1_conus_sf,
+    outfile_path = "3_visualize/out/perc_disabled_census_2022_es.png",
+    leg_title = "Porcentaje de discapacitados, 2022",
+    viz_config_df = p0_viz_config_df,
+    viz_config_pal = p0_viz_config_pal$demographic_characteristics,
+    width = p0_viz_config_df$width_desktop,
+    height = p0_viz_config_df$height_desktop,
+    font_size  = p0_viz_config_df$font_size_desktop,
+    barwidth = 20,
+    barheight = 1
+  ),
+  format = "file"
 )
 )
\ No newline at end of file