X-Git-Url: https://git.openstreetmap.org./nominatim.git/blobdiff_plain/b7b89b30ea9ddf5ba59bd8e2cdf525e937517ad2..02ffa752ea4bb9d02d57d054b267119bf697b1d1:/data-sources/us-tiger/README.md

diff --git a/data-sources/us-tiger/README.md b/data-sources/us-tiger/README.md
index 5217f641..b76150f7 100644
--- 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.
 
-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
 
-  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).
 
-         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
 
@@ -22,5 +22,5 @@ Replace '2018' with the current year throughout.
         ./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