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Coming from TableBuilder?

TableBuilder is the most flexible way to get Census data: almost any cross-tabulation, for almost any area, free once you register. Censible does something narrower. It turns 618 common figures, almost all of them from the Census, into ready-made numbers for any place or area, so the answer doesn't start with building a table.

Strengths

What TableBuilder does well

If the table you need doesn't exist anywhere, TableBuilder can build it. You choose the variables, the categories and the areas: age by income by occupation for every SA2 in a state, say, or, in Pro, a custom area assembled from mesh blocks. Tables can run to tens of millions of cells, and Census data goes back to 2006.

It's also free. Census TableBuilder Basic comes with an ABS account, and the ABS lists Pro as free for members of a registered organisation. For researchers and analysts who know the Census dictionary, nothing else gives you this much control, and Censible doesn't try to replace it.

Limitations

What it requires

That control takes effort. You need an account, a working knowledge of Census variables, and patience with large tables, which can queue for minutes or hours. Census TableBuilder holds categories rather than raw values, so medians and averages have to be worked out afterwards in a spreadsheet.

Every cell carries a small random adjustment to protect privacy, so totals made by adding cells drift from the real total. And each census is its own dataset on its own boundaries, so comparing 2016 with 2021 for the same place means reconciling two sets of areas yourself. The ABS plans time series datasets for selected variables with the 2026 release, which will help.

How Censible differs

618 measures, ready for any place

Censible does that preparation once, on 618 metrics, most of them drawn from the ABS's community profile tables: population and age, income, housing, households, work, education and more. Medians are worked out for you, including for areas you draw, from counts added up first. The 2011, 2016 and 2021 censuses sit on the same 2026 boundaries, and the figures come back in a web app, as CSV, through a JSON API or to an AI assistant, with the source and method attached.

What you give up is the free choice of cross-tabulations. If you need a combination of variables that isn't among our metrics, TableBuilder is the right tool.

Side by side

TableBuilder and Censible at a glance

TopicABS TableBuilderCensible
PriceFree: Basic with an ABS account, Pro for members of a registered organisationFrom $750 a month, with unlimited seats. Samples are free.
What you getAny cross-tabulation you build618 ready-made metrics
Medians and averagesWorked out yourself from the categoriesCalculated for every place and for areas you draw
AreasEvery ABS geography, with mesh blocks and custom areas built from them in ProStandard areas down to SA1, plus any radius, drive or walk time, or boundary you draw
Over timeEach census its own dataset. Time series for selected variables are planned for 2026.2011, 2016 and 2021 on 2026 boundaries
Census years2006 onwards2011, 2016 and 2021, with 2026 as it's released
TurnaroundSmall tables in seconds; large ones queue for minutes or hoursReady-made figures, so nothing to build or queue
Getting data outCSV, Excel and SDMX downloadsCSV files, a JSON API and a connection for AI assistants
Which to use

Pick the tool that fits the question

  1. Use TableBuilder whenYou need a specific cross-tabulation, mesh-block detail, years before 2011, or the official ABS table for publication or research.
  2. Use Censible whenYou need standard figures for many places or catchments, comparable over time, without building and reconciling tables.
  3. Use bothCensible for everyday comparisons across places, and TableBuilder for the one bespoke table a report needs.

Questions people ask

Sources

Checked against these pages on . Tools change, so if something here is out of date, tell us and we'll fix it.

Ready-made figures for any place

Send us a list of suburbs, postcodes or sites and we'll send back a free sample comparing them.