Industries
Cut any program, grant or exposure by electorate or local government area, in a form ready for a brief. For departmental analysts, ministerial offices, government relations firms and peak bodies.
Departments have the mandate for location-based analysis and rarely the capacity. The request that reaches a policy analyst is usually the same: take this program, this grant round or this exposure, and show it by electorate or by council area, by a set date. The answer takes about three days of manual geocoding and joining.
The same request reaches government relations firms, peak bodies and think tanks, usually about someone else's program.
Commonwealth grant awards and contracts are published with recipient names and address strings rather than geography. Regional statistics are published by statistical area and local government area. Electoral boundaries are published separately and move on their own cycle.
Resolving award addresses against the national address file, then to a parcel, a council area and a division, makes everything downstream possible. It is also where hand-built analyses fail: a match rate nobody measured, records dropped without being counted, and a distribution map that is wrong for the seats with the messiest address strings. Here the unmatched records are returned as a list with a count, and the match rate is stated in the output.
Take this grants program's awards, geocode the recipients, and show total value and recipient count by federal division with population and socioeconomic index alongside.
The output is a table by division with award value, recipient count, value per capita, and demographic and socioeconomic context. It also reports the count of records that could not be resolved, and why.
The other standing request is the electorate or council profile: population and its trend, age structure, income, industry of employment, socioeconomic index, housing, and hazard and climate exposure. Dwellings inside a flood planning area, bushfire prone land share, canopy cover and heat, and projected hot days. Those layers are live now and can be cut by council area today.
Give me a ten-chart profile of this local government area: population change, age structure, income distribution, industry mix, housing tenure, and flood and bushfire exposure.
The agent produces the numbers, the map and the source list. The framing, the recommendation and the political judgement stay with whoever signs the brief. Every figure names its dataset, vintage and custodian. A number in a ministerial brief may be questioned in an estimates hearing, and the answer needs to be a citation.
Local government area analysis over census, socioeconomic, population, land, infrastructure and hazard data works today. Grant and contract data with address geocoding, and the electorate join that lets everything be cut by division, are being built now alongside the electoral results work. If you have a specific program or portfolio in mind, that informs the build order.
A request to cut something by electorate. A program's recipients, a grant round's distribution, an infrastructure pipeline, an exposure or a service gap, mapped against divisions or council areas with demographic context. The geocoding and the join are mechanical. The analysis is yours.
Awards are published with a recipient name and often an address string, not a coordinate or an electorate. Resolving those strings against the national address file, then to a division and a council area, turns a spreadsheet of awards into a distribution that can be mapped. Hand-built attempts lose records at this step, because unmatched rows are dropped without being counted.
The ABS spine, census, socioeconomic indices, population series, and the hazard, land and infrastructure layers are live today, so anything cut by local government area works now. Grants, contracts and the electorate join are being built, sharing the electoral data work described on the electorate analysis page.
A published agent run. Projected days over 35 degrees by 2050, the share of land that is bushfire-prone and median household income, combined across every NSW federal electorate to identify the seats where the largest rise meets the lowest incomes.
Federal and state results down to the booth, joined to census demographics on the ABS spine, across boundary sets that change.
For party research desks, campaign directors and community-independent campaigns. Results down to the booth, joined to demographics on the ABS spine across changing boundaries.
Zenancy is in private preview with Group 2 reporters and their advisers.
Request access