openaustralia / aec_postcode_electorate_data

Postcode to Division mappings


A mapping of Australian postcodes to federal electorates according to the Australian Electoral Commission.

  • The redistributed column of the data is the electorate which will be used at the next federal electorate for the given locality. For states where there was no redistribution the column will be blank.9s
  • The other columne is the Other Locality(s) data from the AEC site.
  • To get a consolidated list of electorate/postcode mappings for the next election:

    select distinct state, suburb, postcode, coalesce(nullif(redistributedElectorate,""), electorate) as electorate from data

  • The list of postcodes is sourced indirectly from the G-NAF, by way of openaddresses.io. Download the au/countrywide (addresses - country) file in geojson format. Then: gunzip au_countrywide-addresses-country.geojson.gz jq -r '.properties.postcode' au_countrywide-addresses-country.geojson | sort -u > postcodes (Note: you'll need jq to process the geojson) then remove the first (blank) line.

Pull requests welcome.

Note that the scraper adds to the database so if for any reason a postcode is removed then there will be an old record that doesn't get updated. To fix this simply delete the database before a run.

This is a scraper that runs on Morph. To get started see the documentation

Contributors jamezpolley mlandauer

Last run completed successfully .

Console output of last run

Injecting configuration and compiling...  -----> Python app detected -----> Installing python-3.6.2 -----> Installing pip -----> Installing requirements with pip  Collecting scraperwiki  Downloading scraperwiki-0.5.1.tar.gz (7.7 kB)  Preparing metadata (setup.py): started  Preparing metadata (setup.py): finished with status 'done'  Collecting requests  Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB)  Collecting bs4  Downloading bs4-0.0.1.tar.gz (1.1 kB)  Preparing metadata (setup.py): started  Preparing metadata (setup.py): finished with status 'done'  Collecting six  Downloading six-1.16.0-py2.py3-none-any.whl (11 kB)  Collecting sqlalchemy  Downloading SQLAlchemy-1.4.39-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.6 MB)  Collecting alembic  Downloading alembic-1.7.7-py3-none-any.whl (210 kB)  Collecting idna<4,>=2.5  Downloading idna-3.3-py3-none-any.whl (61 kB)  Collecting certifi>=2017.4.17  Downloading certifi-2022.6.15-py3-none-any.whl (160 kB)  Collecting charset-normalizer~=2.0.0  Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB)  Collecting urllib3<1.27,>=1.21.1  Downloading urllib3-1.26.9-py2.py3-none-any.whl (138 kB)  Collecting beautifulsoup4  Downloading beautifulsoup4-4.11.1-py3-none-any.whl (128 kB)  Collecting importlib-metadata  Downloading importlib_metadata-4.8.3-py3-none-any.whl (17 kB)  Collecting importlib-resources  Downloading importlib_resources-5.4.0-py3-none-any.whl (28 kB)  Collecting Mako  Downloading Mako-1.1.6-py2.py3-none-any.whl (75 kB)  Collecting greenlet!=0.4.17  Downloading greenlet-1.1.2-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (147 kB)  Collecting soupsieve>1.2  Downloading soupsieve-2.3.2.post1-py3-none-any.whl (37 kB)  Collecting typing-extensions>=3.6.4  Downloading typing_extensions-4.1.1-py3-none-any.whl (26 kB)  Collecting zipp>=0.5  Downloading zipp-3.6.0-py3-none-any.whl (5.3 kB)  Collecting MarkupSafe>=0.9.2  Downloading MarkupSafe-2.0.1-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (30 kB)  Building wheels for collected packages: scraperwiki, bs4  Building wheel for scraperwiki (setup.py): started  Building wheel for scraperwiki (setup.py): finished with status 'done'  Created wheel for scraperwiki: filename=scraperwiki-0.5.1-py3-none-any.whl size=6545 sha256=03297cf8a56d849343b3e2a11a5c120a772ffa3c0b3a84bdc1c344b55325aaac  Stored in directory: /tmp/pip-ephem-wheel-cache-h9r7v6df/wheels/cd/f8/ac/cd66eb1c557ab40d35c1ed852da3e9b37baa3e21b61906a5cf  Building wheel for bs4 (setup.py): started  Building wheel for bs4 (setup.py): finished with status 'done'  Created wheel for bs4: filename=bs4-0.0.1-py3-none-any.whl size=1272 sha256=541e76f39654631abc222df0c325ceda1fa14c5984471037a5795ea6965eb5f8  Stored in directory: /tmp/pip-ephem-wheel-cache-h9r7v6df/wheels/19/f5/6d/a97dd4f22376d4472d5f4c76c7646876052ff3166b3cf71050  Successfully built scraperwiki bs4  Installing collected packages: zipp, typing-extensions, MarkupSafe, importlib-metadata, greenlet, urllib3, sqlalchemy, soupsieve, Mako, importlib-resources, idna, charset-normalizer, certifi, six, requests, beautifulsoup4, alembic, scraperwiki, bs4  Successfully installed Mako-1.1.6 MarkupSafe-2.0.1 alembic-1.7.7 beautifulsoup4-4.11.1 bs4-0.0.1 certifi-2022.6.15 charset-normalizer-2.0.12 greenlet-1.1.2 idna-3.3 importlib-metadata-4.8.3 importlib-resources-5.4.0 requests-2.27.1 scraperwiki-0.5.1 six-1.16.0 soupsieve-2.3.2.post1 sqlalchemy-1.4.39 typing-extensions-4.1.1 urllib3-1.26.9 zipp-3.6.0   -----> Discovering process types  Procfile declares types -> scraper Injecting scraper and running... Using proxy setting in MORPH_AUSTRALIAN_PROXY... 0800: 1/2639 /app/.heroku/python/lib/python3.6/site-packages/scraperwiki/sql.py:75: SAWarning: SQLite version (3, 7, 9) is older than 3.7.16, and will not support right nested joins, as are sometimes used in more complex ORM scenarios. 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Data

Downloaded 16 times by jamezpolley mlandauer admanami stevej098

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rows 10 / 17794

state suburb postcode electorate redistributed other
NSW
NUBBA
2587
Shortland
 
WA
FITZGERALD RIVER NAT PK
6346
O'Connor
 
NT
DARWIN
0800
Solomon
 
NT
ALAWA
0810
Solomon
 
NT
BRINKIN
0810
Solomon
 
NT
BUFFALO CREEK
0810
Solomon
 
NT
CASUARINA
0810
Solomon
 
NT
COCONUT GROVE
0810
Solomon
 
NT
JINGILI
0810
Solomon
 
NT
KULALUK
0810
Solomon
 

Statistics

Average successful run time: about 1 hour

Total run time: about 4 hours

Total cpu time used: 15 minutes

Total disk space used: 1.47 MB

History

  • Manually ran revision 16dcbe15 and completed successfully .
    17792 records added, 17729 records removed in the database
  • Manually ran revision 16dcbe15 and completed successfully .
    17731 records added, 2336 records removed in the database
  • Manually ran revision 096ee84a and failed .
    2336 records added, 1547 records removed in the database
  • Manually ran revision 399cc70d and failed .
    1547 records added in the database
  • Manually ran revision 9cf7708c and completed successfully .
    14363 records added, 474 records removed in the database
  • ...
  • Created on morph.io

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