diff --git a/geocoder/postal-codes/README.md b/geocoder/postal-codes/README.md
index 7c4b55f..dc686d9 100644
--- a/geocoder/postal-codes/README.md
+++ b/geocoder/postal-codes/README.md
@@ -24,35 +24,38 @@ All countries points [GeoNames](www.geonames.org) - http://download.geonames.org
 
 # Postal code geocoder (points)
 
-1. Download the allCountries.zip file from [GeoNames](www.geonames.org). Import and rename the table as tmp_zipcode_points. You can follow the manual process explained below instead.
+Download the allCountries.zip file from [GeoNames](www.geonames.org). Import and rename the table as tmp_zipcode_points. You can follow the manual process explained below instead.
 
-This dataset includes data for the following countries:
+  This dataset includes data for the following countries:
+ 
+  ````
+  CH, ES, GU, ZA, MX, SJ, NL, RU, AX, TH, AR, MY, RE, LK, GB, IS, GL, JE, DK, IN,
+  SI, GP, MQ, BR, SM, BG, NZ, MP, CZ, DO, MD, PK, TR, VI, BD, GG, LT, PM, MC, US,
+  IT, LU, SK, LI, PR, IM, NO, PT, PL, FI, JP, CA, DE, HU, PH, SE, VA, YT, MK, FR,
+  MH, RO, FO, GF, AD, HR, DZ, GT, AU, AS, BE, AT
+  ````
 
-````
-CH, ES, GU, ZA, MX, SJ, NL, RU, AX, TH, AR, MY, RE, LK, GB, IS, GL, JE, DK, IN,
-SI, GP, MQ, BR, SM, BG, NZ, MP, CZ, DO, MD, PK, TR, VI, BD, GG, LT, PM, MC, US,
-IT, LU, SK, LI, PR, IM, NO, PT, PL, FI, JP, CA, DE, HU, PH, SE, VA, YT, MK, FR,
-MH, RO, FO, GF, AD, HR, DZ, GT, AU, AS, BE, AT
-````
+  The columns that are loaded are the following ones:
 
-The columns that are loaded are the following ones:
-field_1: corresponding to ISO2
-field_10: corresponds to latitude
-field_11: corresponds to longitude
-field_2: corresponds to ZIP code
+  - field_1: corresponding to ISO2
+  - field_10: corresponds to latitude
+  - field_11: corresponds to longitude
+  - field_2: corresponds to ZIP code
 
-2. Georeference the table using field11 as longitude and field10 as latitude in order to construct the_geom.
+1. Georeference the table using field11 as longitude and field10 as latitude in order to construct the_geom.
 
-3. Add column iso3 (text) and run sql/build_zipcode_points_table.sql.
+2. Add column iso3 (text) and run sql/build_zipcode_points_table.sql.
 
 
 **Alternative manual process**
 
-Open the allCountries.txt file with Excel an add a new row on top. Delete columns C-I and L.
+1. Open the allCountries.txt file with Excel an add a new row on top. 
 
-In the first row, add the following columns: iso2, zipcode, lat, long.
+2. Delete columns C-I and L.
 
-Import the file ignoring step 2.
+3. In the first row, add the following columns: iso2, zipcode, lat, long.
+
+4. Import the file ignoring step 1.
 
 _The big size of the dataset may cause interruptions in the processing of the coordinates after uploading the file, manipulating the file before importing is a faster workaround._