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US TIGER 2019 data got released
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@ -4,17 +4,17 @@ Convert [TIGER](https://www.census.gov/geo/maps-data/data/tiger.html)/Line datas
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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.
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Replace '2018' with the current year throughout.
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Replace '2019' with the current year throughout.
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1. Install the GDAL library and python bindings and the unzip tool
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# Ubuntu:
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sudo apt-get install python3-gdal unzip
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2. Get the TIGER 2018 data. You will need the EDGES files
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2. Get the TIGER 2019 data. You will need the EDGES files
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(3,233 zip files, 11GB total).
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wget -r ftp://ftp2.census.gov/geo/tiger/TIGER2018/EDGES/
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wget -r ftp://ftp2.census.gov/geo/tiger/TIGER2019/EDGES/
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3. Convert the data into SQL statements. Adjust the file paths in the scripts as needed
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@ -22,5 +22,5 @@ Replace '2018' with the current year throughout.
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./convert.sh <input-path> <output-path>
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4. Maybe: package the created files
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tar -czf tiger2018-nominatim-preprocessed.tar.gz tiger
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tar -czf tiger2019-nominatim-preprocessed.tar.gz tiger
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@ -188,12 +188,12 @@ address set to complement the OSM house number data in the US. You can add
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TIGER data to your own Nominatim instance by following these steps. The
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entire US adds about 10GB to your database.
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1. Get preprocessed TIGER 2018 data and unpack it into the
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1. Get preprocessed TIGER 2019 data and unpack it into the
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data directory in your Nominatim sources:
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cd Nominatim/data
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wget https://nominatim.org/data/tiger2018-nominatim-preprocessed.tar.gz
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tar xf tiger2018-nominatim-preprocessed.tar.gz
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wget https://nominatim.org/data/tiger2019-nominatim-preprocessed.tar.gz
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tar xf tiger2019-nominatim-preprocessed.tar.gz
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`data-source/us-tiger/README.md` explains how the data got preprocessed.
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