US TIGER 2019 data got released

diff --git a/data-sources/us-tiger/README.md b/data-sources/us-tiger/README.md
index 5217f641ec363d761f2f5265c87f08cba4e45f87..b76150f7510c18948c4b2a82a132a4d8a5e2478d 100644 (file)
--- a/data-sources/us-tiger/README.md
+++ b/data-sources/us-tiger/README.md
@@ -4,17 +4,17 @@ Convert [TIGER](https://www.census.gov/geo/maps-data/data/tiger.html)/Line datas
 
 The dataset gets updated once per year. Downloading is prone to be slow (can take a full day) and converting them can take hours as well.
 
 
 The dataset gets updated once per year. Downloading is prone to be slow (can take a full day) and converting them can take hours as well.
 

-Replace '2018' with the current year throughout.
+Replace '2019' with the current year throughout.

 
   1. Install the GDAL library and python bindings and the unzip tool
 
         # Ubuntu:
         sudo apt-get install python3-gdal unzip
 
 
   1. Install the GDAL library and python bindings and the unzip tool
 
         # Ubuntu:
         sudo apt-get install python3-gdal unzip
 

-  2. Get the TIGER 2018 data. You will need the EDGES files
+  2. Get the TIGER 2019 data. You will need the EDGES files

      (3,233 zip files, 11GB total).
 
      (3,233 zip files, 11GB total).
 

-         wget -r ftp://ftp2.census.gov/geo/tiger/TIGER2018/EDGES/
+         wget -r ftp://ftp2.census.gov/geo/tiger/TIGER2019/EDGES/

 
   3. Convert the data into SQL statements. Adjust the file paths in the scripts as needed
 
 
   3. Convert the data into SQL statements. Adjust the file paths in the scripts as needed
 


@@ -22,5 +22,5 @@ Replace '2018' with the current year throughout.
         ./convert.sh <input-path> <output-path>
 
   4. Maybe: package the created files
         ./convert.sh <input-path> <output-path>
 
   4. Maybe: package the created files

-
-        tar -czf tiger2018-nominatim-preprocessed.tar.gz tiger
+  
+        tar -czf tiger2019-nominatim-preprocessed.tar.gz tiger

diff --git a/docs/admin/Import-and-Update.md b/docs/admin/Import-and-Update.md
index 923891a4fe728d8d9dd9b381a99f87f6ef58fc7b..757dab695d46ccf74963ea29b8ac938a0ab1b8df 100644 (file)
--- a/docs/admin/Import-and-Update.md
+++ b/docs/admin/Import-and-Update.md
@@ -188,12 +188,12 @@ address set to complement the OSM house number data in the US. You can add
 TIGER data to your own Nominatim instance by following these steps. The
 entire US adds about 10GB to your database.
 
 TIGER data to your own Nominatim instance by following these steps. The
 entire US adds about 10GB to your database.
 

-  1. Get preprocessed TIGER 2018 data and unpack it into the
+  1. Get preprocessed TIGER 2019 data and unpack it into the

      data directory in your Nominatim sources:
 
         cd Nominatim/data
      data directory in your Nominatim sources:
 
         cd Nominatim/data

-        wget https://nominatim.org/data/tiger2018-nominatim-preprocessed.tar.gz
-        tar xf tiger2018-nominatim-preprocessed.tar.gz
+        wget https://nominatim.org/data/tiger2019-nominatim-preprocessed.tar.gz
+        tar xf tiger2019-nominatim-preprocessed.tar.gz

 
     `data-source/us-tiger/README.md` explains how the data got preprocessed.
 
 
     `data-source/us-tiger/README.md` explains how the data got preprocessed.