Change in land values by council area, Queensland, 2002 to 2009
liveOne row per council area as it stood before the 2008 amalgamations, with the overall percentage change in statutory land values at its annual valuation for each year from 2002 to 2009 and the council it became part of. A year in which the area was not valued is null, including two cells where the publisher's NV carries a stray character. The first row counts the areas valued each year.
Also called: Queensland land valuation trends before amalgamation, QLD land value change by former council 2002 to 2009.
Part of Historical trends in land valuations, Queensland, 2 tables the publisher releases together: Change in land values by council area, Queensland, 2010 onwards.
- What does each figure mean?
- Each figure is the overall percentage change in statutory land values in a local government area at that year's annual valuation, compared with its previous valuation. A council area is not valued every year, and the publisher writes NV for a year it was not valued. NV is kept as a null value here.
- Why do the council names differ from today?
- The table covers the councils as they were before the 2008 amalgamations. The last column names the council each became part of.
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Connect your AI agent
Any agent that connects to publicdata.au/mcp can find this dataset, read its 10 fields, count and filter across all 124 rows and diff its versions. Every answer names the version and carries Natural Resources and Mines's attribution. No key.
Then ask it: What does Change in land values by council area, Queensland, 2002 to 2009 hold, and what changed in the newest version?
claude mcp add --transport http publicdata https://publicdata.au/mcpOne command. No key, no account, no sign-up.
Settings, then Connectors, then Add custom connector, and paste https://publicdata.au/mcp.
On the web and in the desktop app.
https://publicdata.au/mcpStreamable HTTP. Cursor, VS Code or any client that connects to a remote MCP server.
Using https://publicdata.au/llms.txt, how many people died on Queensland roads in 2025, by month?For an assistant that reads the web and has no connector.
A dashboard over every row. Click to filter, add panels, share a link or embed a frame.
Query APIFilter and count from a URLaggregate?group=post_amalgamation_lga&metric=count&lga=neq.Total%20number%20of%20LGAs%20valued
Former council areas that became part of each council at the 2008 amalgamations: 8 Toowoomba, 6 North Burnett, 5 Western Downs, 5 Maranoa.
Download it as Excel, CSV, JSON and 6 more formats
Pick a format and a version. Excel is picked first because it opens in the tools most offices have. The URL is yours to keep. A dated version never changes.
In your own tools
Use it in Excel, R, Python and more
Excel and Power BI read the CSV from its address and refresh from it. The R and Python packages take any dataset on this site by its slug, so a new dataset needs no new release. The DuckDB file attaches read-only over HTTPS, and a query reads only the blocks it touches.
The dated URL in the code never changes. https://publicdata.au/d/qld-land-valuation-trends-2002-2009/latest/ redirects to the newest version.
https://publicdata.au/d/qld-land-valuation-trends-2002-2009/latest/data.csvIn Excel choose Data, then From Web, and paste this address. Excel keeps it, so Refresh All reads the newest version. A sheet holds about a million rows; past that, load the query to the Data Model.
https://publicdata.au/d/qld-land-valuation-trends-2002-2009/latest/data.csvIn Power BI Desktop choose Get data, then Web, paste this address and choose Anonymous when asked how to sign in. A scheduled refresh reads the same address, so the report follows each new version.
library(publicdataau)
df <- pd_read("qld-land-valuation-trends-2002-2009")
pd_attribution(df)install.packages("publicdataau"). pd_read() fetches the version's Parquet file; pd_rows() and pd_aggregate() ask the query API instead, and pd_connect() attaches the DuckDB file.
import publicdata_au as pd_au
df = pd_au.read("qld-land-valuation-trends-2002-2009")
df.attrs["publicdata"]["attribution"]pip install "publicdata-au[pandas]". read() fetches the version's Parquet file; rows() and aggregate() ask the query API, and connect() attaches the DuckDB file.
INSTALL httpfs; LOAD httpfs;
ATTACH 'https://publicdata.au/d/qld-land-valuation-trends-2002-2009/v/2025-01-20/data.duckdb' AS qld_land_valuation_trends_2002_2009 (READ_ONLY);
SELECT lga, count(*) FROM qld_land_valuation_trends_2002_2009.records GROUP BY 1 ORDER BY 2 DESC;The DuckDB file attaches read-only over HTTPS and only the blocks a query touches are read. Parquet works the same way: FROM read_parquet(url).
const res = await fetch("https://publicdata.au/api/v1/datasets/qld-land-valuation-trends-2002-2009/aggregate?group=post_amalgamation_lga&metric=count&lga=neq.Total%20number%20of%20LGAs%20valued");
const { rows, publicdata } = await res.json();
console.log(rows, publicdata.attribution);The query API answers a page on any site as well as Node, with no key. It returns the rows and the attribution the licence asks for.
What is in it
Column names are made snake_case and the publisher's original header is kept beside each one. Blank cells are null. Nothing is added, removed, ranked or summarised.
| Field | Type | Publisher's header | Note |
|---|---|---|---|
| lga | string | LGA | |
| change_2002 | number | 2002 | Overall change in statutory land values at the 2002 valuation since the previous one, in per cent. Null where the publisher writes NV, the area not being valued that year. |
| change_2003 | number | 2003 | Overall change in statutory land values at the 2003 valuation since the previous one, in per cent. Null where the publisher writes NV, the area not being valued that year. |
| change_2004 | number | 2004 | Overall change in statutory land values at the 2004 valuation since the previous one, in per cent. Null where the publisher writes NV, the area not being valued that year. |
| change_2005 | number | 2005 | Overall change in statutory land values at the 2005 valuation since the previous one, in per cent. Null where the publisher writes NV, the area not being valued that year. |
| change_2006 | number | 2006 | Overall change in statutory land values at the 2006 valuation since the previous one, in per cent. Null where the publisher writes NV, the area not being valued that year. |
| change_2007 | number | 2007 | Overall change in statutory land values at the 2007 valuation since the previous one, in per cent. Null where the publisher writes NV, the area not being valued that year. |
| change_2008 | number | 2008 | Overall change in statutory land values at the 2008 valuation since the previous one, in per cent. Null where the publisher writes NV, the area not being valued that year. |
| change_2009 | number | 2009 | Overall change in statutory land values at the 2009 valuation since the previous one, in per cent. Null where the publisher writes NV, the area not being valued that year. |
| post_amalgamation_lga | string | Post-amalgamation LGA |
Download this table as a data dictionary (Excel), or read it as a Frictionless Table Schema at schema.json.
A sample of 10 rows
Council areas in the publisher's order, leaving out the row at the top that counts the areas valued. A blank cell is shown as null.
| lga | change_2002 | change_2003 | change_2004 | change_2005 | change_2006 | change_2007 | change_2008 | change_2009 | post_amalgamation_lga |
|---|---|---|---|---|---|---|---|---|---|
| Aramac | 47 | null | null | null | 255 | null | 41 | null | Barcaldine |
| Atherton | -3 | null | null | 29 | null | null | 143 | null | Tablelands |
| Balonne | 117 | null | null | null | 108 | null | null | null | Balonne |
| Banana | 27 | null | null | 120 | null | 54 | null | null | Banana |
| Barcaldine | 49 | null | null | null | 169 | null | 40 | null | Barcaldine |
| Barcoo | 51 | null | null | null | 382 | null | null | null | Barcoo |
| Bauhinia | 78 | null | null | 101 | null | 130 | 0 | null | Central Highlands |
| Beaudesert | null | null | null | 137 | null | null | 47 | null | Scenic Rim and Logan |
| Belyando | 57 | null | null | 107 | null | 189 | 0 | null | Isaac |
| Bendemere | null | null | null | 222 | null | null | 47 | null | Maranoa |
The first row as JSON
As it appears in data.json.
GET https://publicdata.au/d/qld-land-valuation-trends-2002-2009/latest/data.json
{
"lga": "Total number of LGAs valued",
"change_2002": 55.0,
"change_2003": 41.0,
"change_2004": 0.0,
"change_2005": 93.0,
"change_2006": 41.0,
"change_2007": 37.0,
"change_2008": 59.0,
"change_2009": 0.0,
"post_amalgamation_lga": null
}
Query it without downloading
The query API returns only the rows you ask for, as JSON, NDJSON or CSV, from the same typed rows as the files. It needs no key. Build a query here and run it, then copy the URL or the code into your own work.
How filters work
Each filter is field=operator.value in the query string, and every filter must match. A number or date field compares as a number or date, and a text field compares as text. Values are case-sensitive except with ilike. Prefix not. to negate a filter, as not.eq.value.
| Operator | What it matches |
|---|---|
| eq.value | Equal to the value. |
| neq.value | Not equal to the value. A blank cell does not match. |
| gt.value | Greater than the value. |
| gte.value | Greater than or equal to the value. |
| lt.value | Less than the value. |
| lte.value | Less than or equal to the value. |
| like.*text* | Matches a pattern where * stands for any run of characters. Case-sensitive. |
| ilike.*text* | The same as like, ignoring case. |
| in.(a,b,c) | Equal to any value in the list. A value cannot contain a comma. |
| is.null | Blank in the source, or suppressed by the publisher. |
| Parameter | What it does |
|---|---|
| select | Fields to return, comma-separated. Every field when absent. |
| order | field.asc or field.desc, comma-separated. The publisher's row order when absent. |
| limit | Rows per page, 1 to 10,000. 100 when absent. |
| offset | Rows to skip. The next URL in each answer sets it for you. |
| group | On aggregate, fields to group by, comma-separated. |
| metric | On aggregate, count, sum.field, avg.field, min.field or max.field, comma-separated. count when absent. |
| format | json, ndjson or csv. JSON carries the provenance header, and the others carry it in response headers. |
Without a version the API answers from the newest loaded version, and that answer changes when the publisher releases again. Put versions/<date>/ before rows or aggregate for an answer that never changes. /api/v1/datasets/<slug>/versions lists the loaded versions. The 1 newest version is loaded; versions lists them.
The API allows 60 requests in 10 seconds from one address. Above that it answers 429 for 10 seconds with a Retry-After header, a RateLimit-Policy header and a JSON body that gives the limit. Every API answer carries the same RateLimit-Policy. A client should wait the Retry-After seconds, or read the files, which have no limit. openapi.json describes this dataset's query paths for client generators and agents.
https://publicdata.au/mcp is a remote MCP server over Streamable HTTP with the same tools, defined in the same place, so a tool added to the pages is added here too. It needs no key and no account. The row tools are held to the query API's limit of 60 queries in 10 seconds from one address, and each call is two queries because it also counts the matching rows. Add it to Claude Code with claude mcp add --transport http publicdata https://publicdata.au/mcp, add the URL in Claude as a custom connector, or give it to any client that connects to remote MCP servers. Each queryable dataset is also a resource at https://publicdata.au/d/<slug>/fields.json, which lists its fields with their types, the publisher's descriptions, their ranges and the values they hold, so an agent can read a dataset's shape before it writes a query.
What changed
One version for every release the publisher has made since this site started following the dataset. The date is the day the file changed on the portal.
- 2025-01-20 124 rows10 fieldscp12526ffe00686b7d
versions.json · changes.json · history.tar.zst (7.3 KB, every version's Parquet and manifest)
Questions
How do I download Change in land values by council area, Queensland as a CSV file?
Open https://publicdata.au/d/qld-land-valuation-trends-2002-2009/latest/data.csv. It redirects to the newest dated version, which is https://publicdata.au/d/qld-land-valuation-trends-2002-2009/v/2025-01-20/data.csv today. The same path serves Excel, JSON, Parquet, SQLite, DuckDB, NDJSON, Arrow. A dated URL never changes, so use it when the file must stay the same.
Can I open Change in land values by council area, Queensland in Excel?
Yes. https://publicdata.au/d/qld-land-valuation-trends-2002-2009/v/2025-01-20/data.xlsx is a workbook with the 124 rows on a records sheet, the field list on a second sheet and the provenance on a third. The CSV also opens in Excel. https://publicdata.au/d/qld-land-valuation-trends-2002-2009/v/2025-01-20/data.csv.gz is the CSV at about a tenth of the size.
What years does Change in land values by council area, Queensland cover?
The current version covers the years since 2002. Each release from Natural Resources and Mines becomes a new dated version here, and earlier versions stay online.
How often is Change in land values by council area, Queensland updated?
Natural Resources and Mines no longer updates it. This site checks the portal every week and adds a dated version when the file changes.
Can I use Change in land values by council area, Queensland commercially?
Yes. CC BY 3.0 AU allows commercial use, redistribution and derived works as long as the attribution is kept. The attribution string is in this page's side column and inside every file.
Is this the official source for Change in land values by council area, Queensland?
No. The publisher is Department of Natural Resources and Mines, Manufacturing and Regional and Rural Development, and its page is https://www.data.qld.gov.au/dataset/historical-trends-in-land-valuations. This site republishes the publisher's file without changing its content. The original sits beside every version as source.csv with its SHA-256, so the two can be compared.
What this site did to the data. Cells were typed, headers were renamed and the encoding was made UTF-8. Rows were left alone. The publisher's file sits beside every version as source.csv so the change can be checked.
Historical trends in land valuations, Queensland is 2 tables here, and each takes its version date from its own file.