About/How to:
To navigate these maps you can zoom, scroll and search. If you are hovering over a location on a desktop it will display the information, alternatively if you on a mobile or tablet you need to tap on each location to find out the estimated vote share there. Colours correspond to a party's offical/defacto colour (red for Labor, blue for the Liberals, a dark bluey-green for the Nationals, orange for One Nation, yellow for Palmer, green for The Greens & purple for others (despite many being classifed as 'teal' independents) with the deeper/darker the colour being the higher the party's vote share.
These highly detailed maps of Australia's 2022 election are generated by ultilisting results from polling places as well as prepoll, absentee and postal votes (found here), and data about where people in each area (SA1) voted (found here, both data sets are from the Australian Electoral Commission). Estimates are generated by amalagmating the voting data across polling places and vote types to reflect where people in an individual area voted.
Each area represents a Statistical Area 1 (SA1) which represent somewhere between 100-1000 people (not voters), the larger outlined areas represent the 151 electoral divisions. 200 or so SA1s span two electorates, the info box will show this, however, the two candidate preferred result may not be accurate if there is a non-traditional (Labor, Coalition) contest in either of the electorates as it will generally reflect a TPP result.
Furthermore, darker colours correspond to a greater amount of votes for that party however, these scales aren't uniform as the maximum One Nation vote, for instance, is smaller than the largest Labor vote share) this is not the case for the Two Candidate Preferred map.
Each party's vote share ranges up to the following:
Additionally, note that the total number of votes from an area include informal votes, however, the vote shares for parties are reported as a percentage of formal votes as would be normally reported (except for the informal votes map).