diff --git a/geocoder/postal-codes/README.md b/geocoder/postal-codes/README.md
index dc686d9..9b3c89e 100644
--- a/geocoder/postal-codes/README.md
+++ b/geocoder/postal-codes/README.md
@@ -3,8 +3,14 @@ Postal code geocoder (polygons)
 
 ### Function
 
+By following the next steps a table is populated with zipcodes from Australia, Canada, USA and France (identified by iso3) related with their spatial location in terms of polygons.
+
 ### Creation steps
 
+1. Import the four files attached in the section "Datasources".
+
+2. Run sql/build_data_table.sql. Notice that table "postal_code_polygons" should exist in advance with columns: _the_geom_, _adm0_a3_ and _postal_code_.
+
 ### Data Sources
 
 Australian polygons - http://www.abs.gov.au/AUSSTATS/abs@.nsf/DetailsPage/2033.0.55.0012011?OpenDocument
@@ -17,45 +23,60 @@ USA polygons - http://www2.census.gov/geo/tiger/TIGER2013/ZCTA5/tl_2013_us_zcta5
 
 French polygons - http://www.data.gouv.fr/dataset/fond-de-carte-des-codes-postaux
 
-All countries points [GeoNames](www.geonames.org) - http://download.geonames.org/export/zip/allCountries.zip
-
 
 ### Preparation details
 
+The names of the imported files are:
+
+- doc for Australia table
+- gfsa000a11a_e for Canada table
+- tl_2013_us_zcta510 for USA table
+- codes_postaux for France table
+
 # Postal code geocoder (points)
 
-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.
+### Function
 
-  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
-  ````
+By following the next steps a table is populated with zipcodes of different countries (identified by iso3) related with their spatial location in terms of points.
 
-  The columns that are loaded are the following ones:
+This dataset includes data for the following countries:
 
-  - field_1: corresponding to ISO2
-  - field_10: corresponds to latitude
-  - field_11: corresponds to longitude
-  - field_2: corresponds to ZIP code
+````
+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
+````
 
-1. Georeference the table using field11 as longitude and field10 as latitude in order to construct the_geom.
+### Creation steps
 
-2. Add column iso3 (text) and run sql/build_zipcode_points_table.sql.
+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.
+
+
+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
+
+2. 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.
 
 
 **Alternative manual process**
 
-1. Open the allCountries.txt file with Excel an add a new row on top. 
+Open the allCountries.txt file with Excel an add a new row on top. Delete columns C-I and L.
 
-2. Delete columns C-I and L.
+In the first row, add the following columns: iso2, zipcode, lat, long.
 
-3. In the first row, add the following columns: iso2, zipcode, lat, long.
+Import the file ignoring step 2.
 
-4. Import the file ignoring step 1.
+### Data Sources
+
+All countries points [GeoNames](www.geonames.org) - http://download.geonames.org/export/zip/allCountries.zip
+
+### Preparation details
 
 _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._