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Research
Perennial Consulting Engineers · portal figures counted 22 August 2026
Councils across New South Wales hold thousands of flood studies and terabytes of model output. The modelling has been done, paid for and adopted. Most home owners still cannot tell you whether their house sits in a 1% AEP zone, or what that would mean for them. The difficulty is access, not modelling.
Please read this first
This is preliminary investigation and research is ongoing. This data is published to simply start a conversation. Note the portal figures are a complete count of the current database, rather than a sample, but the information represents a first pass, with further review and analysis underway.
This is part of a broader research project, and the findings here are subject to consultation with all industry stakeholders: councils, consultants, insurers and the state agencies. If you are able to provide any insight or clarification with regard to the figures reported below, please contact Perennial.
Initial estimates for consultation only, subject to research and verification. Portal figures counted 22 August 2026
Flood risk is a development constraint like bushfire: zones from low to high, numbers, and measures that follow from them. Prime, unconstrained land is largely developed or unaffordable, so what remains is constrained ground. Flooding can hold up an approval entirely, or push a project past feasible design and construction cost.
The information itself is improving. Catchments are modelled more accurately, and the estimated likelihood of severe floods rises as the historical rainfall record lengthens. That is worth being clear about: the latest flood information is not new risk. The risk was always there. What has changed is how well it is understood.
The terminology has not kept up. Flood events do not take turns, and a one per cent chance in one year does not reduce the chance the following year: across an average 80 year lifespan, the 1% AEP event carries about a 55% chance of occurring. That is why the old once-a-century framing is retired, here and on the map.
There is no statewide visual mapping system for flood control lots, no public section 10.7 system, and no single place to see what mapping exists. Councils are responsible for flood mapping, and each presents it differently: different viewers, different terminology, different depth of detail. Some publish full model grids. Others publish legacy PDF reports and nothing else. Application fees vary.
The NSW Planning Portal’s statewide flood layer is a powerful tool for town planning, but it excludes current flooding data: counted in August 2026, it showed 622 remnant polygons across roughly ten local government areas, dated May 2019, with whole council areas and floodplains blank.
The 2022 NSW Flood Inquiry made twenty eight recommendations, including better community flood data provision and education. The NSW Government supported all twenty eight, six in full and twenty two in principle, and the SES states that public flood information remains each council’s responsibility. So the gap is not recognition. The need for accessible public flood information is acknowledged and supported. There is simply no funded program to deliver it, and the data to build it is already published.
Every council chooses its own colours, its own catchment names and its own platform, and none of them agree. A resident who moves thirty kilometres meets a different colour language for the same risk, and flood information is often buried deep in a council website under a catchment name the public has never heard of.
One council
High risk
Medium risk
Low risk
A neighbouring council
High risk
Medium risk
Low risk
LEVEE, statewide
Frequent
Uncommon
Benchmark
Rare
Maximum
The same three categories of risk, drawn by two neighbouring councils, can share no colour at all. Neither palette is wrong: there is no convention for councils to follow, and the point is the absence of one, not the choices any council made. LEVEE draws one ramp for every council area, one hue, darker for floods that happen more often, validated for colour vision deficiency.
Across four events and more than 300,000 claims. February to March 2022 alone cost $3.35bn, the costliest flood in Australian history.
More than half the national total of 229,455.
On currency grounds alone: ARR 2019 and the gazetted 2023 Flood Risk Management Manual superseded what they were written against.
170 of 4,417 published datasets are both spatial data and openly licensed.
Premiums have separated from the average. Average annual home insurance, October 2025: outer western Sydney and the Blue Mountains $5,350, against a national average of $2,938.
148,546 NSW properties are projected to be uninsurable by 2030. Riverine flooding drives about 80% of the national high-risk total.
In March 2021 about 65,000 people across Greater Sydney were under evacuation warnings and orders, the majority in the Hawkesbury-Nepean valley. The NSW Floodplain Management Program funded 53 projects totalling $10.4 million in 2024-25, against that exposure.
An owner wanting to know about their own land is asking a narrow question: how deep, how often, and what it means for what they intend to build. Three things get in the way, and only one of them is cost.
Every NSW flood dataset on the state portal, counted. A study being published is commonly taken to mean the information is available. In practice four things sit between a study appearing on the portal and a map being able to draw it.
By dataset. A third-party licence means the consultant or council retained rights: readable on the portal, not republishable.
| Licence | Datasets | Share |
|---|---|---|
| Third-party licence | 2,261 | 51.2% |
| Not specified | 1,285 | 29.1% |
| CC BY 4.0 | 688 | 15.6% |
| Other named licence | 97 | 2.2% |
| OEH licence | 79 | 1.8% |
| Internal only | 7 | 0.2% |
The model output is the part a map can use, and it is the part least often released. Of the 1,676 datasets holding real spatial data, six in seven are locked. Open licensing is rarest where the data is most valuable.
| Licence, on data only | Datasets | Share |
|---|---|---|
| Third-party licence | 1,424 | 85% |
| CC BY 4.0 | 170 | 10.1% |
| Other named licence | 46 | 2.7% |
| OEH licence | 29 | 1.7% |
| Internal only | 7 | 0.4% |
The 688 openly licensed datasets, by what they contain: 518 are a document (75.3%) and 170 are a data file (24.7%). Three quarters of the open material is a PDF of a study report. It can be mapped, but only by digitising the figure plates by hand, which is slow, approximate, and has to be redone every time the study is revised.
Statewide, after excluding report and figure archives: 83 datasets held by 23 councils. That is the whole of the state’s flood information that can be lawfully reproduced without digitising a page.
Counting datasets says nothing about whether the particular thing a practitioner needs exists. These count datasets whose own description names the product, then narrow to the openly licensed ones, then to the ones that also hold a data file.
| Product | Described | Openly licensed | Open and holds data |
|---|---|---|---|
| Flow velocityHow fast the water moves. Half of what a hazard classification is derived from, and what tells a reader whether a flooded street can be walked out of | 271 | 54 | 8 |
| Hazard classification H1 to H6The AR&R 2019 grading of how dangerous the water is to a person, a vehicle and a building | 42 | 7 | 1 |
| Flood functionFloodway, flood storage and flood fringe. What the development controls actually turn on | 235 | 37 | 9 |
Velocity is the clearest case. 271 datasets across the state describe holding it, 54 are openly licensed, and 8 both carry an open licence and hold a data file. For the AR&R hazard classification the figure is 1: not per cent and not per council, but one dataset in the state. Every other published hazard classification is either behind a licence that forbids republication or exists only as a figure in a report.
These are claims made by the publisher in the dataset description, not verified contents. An archive described as holding velocity has not been opened to confirm it, and a package that holds velocity without saying so is not counted.
The distinction that explains most of this page: a right of access is not a right of reuse. The Government Information (Public Access) Act gives anyone the right to obtain information a NSW council holds, flood studies included. It grants no right to republish what is obtained. A study can therefore be public in the sense that any person can read it, and locked in the sense that no one may lawfully put it on a map for the next person.
That is why the licence column above matters more than the published column. LEVEE republishes mapping, so it can only carry material whose licence permits republication, which today means CC BY. A restricted study is recorded, counted, and left where it is, however openly it can be read in place.
While almost every council publishes its flood study information publicly, fewer than half provide it for free and open reproduction by engineers.
Of 128 local government areas
Of 33 local government areas
895 Greater Sydney datasets, 193 of them CC BY, 42 with a data file.
Councils are counted, not listed. This research does not rank councils and will not publish a list of the ones publishing least. The constraint is the licence attached to each study, and a council is often bound by terms an earlier consultancy contract set years before anyone asked the question.
Every council catchment the platform considers is asked the same five questions, and the answers become a public record rather than an internal note:
The output is a council-by-council audit of NSW flood data accessibility, format and currency, published as a findings report and as the operating platform itself. Gaps in map coverage directly demonstrate gaps in accessibility, data or cooperation, and the intent is that the findings inform policy improvement at a state level, not just a new mapping system.
The naming rule is fixed: name the good, aggregate the rest. Councils performing well may be named positively. Councils that are not appear only in aggregate figures. No league table, no ranking, descriptive language only. Once a council participates, naming becomes a reward rather than a penalty, which is the right incentive and keeps the research collaborative rather than adversarial.
Openly licensed spatial datasets, after report archives are excluded. Between them these publishers hold most of the state’s total, and every one of them decided to license openly when nothing obliged them to.
| Council or agency | Reusable data | CC BY total |
|---|---|---|
| Wollongong City Council | 27 | 61 |
| Penrith City Council | 13 | 21 |
| Shellharbour City Council | 8 | 15 |
| Hawkesbury City Council | 6 | 10 |
| Coffs Harbour City Council | 4 | 13 |
| Central Coast Council | 3 | 43 |
| Sutherland Shire Council | 1 | 8 |
| Newcastle City Council | 1 | 4 |
Wollondilly Shire Council also publish openly, as reports rather than as data files.
This list grows as councils license data openly, and it is the only list on this page. If your council publishes openly and is not named here, that is an error worth telling us about.
Share of each year’s published material carrying an open licence. Counted by publication year rather than by the date a record was loaded onto the portal, so the bulk historical load spreads back across the years it belongs to instead of showing as two meaningless spikes.
| Year | Published | Open | Share |
|---|---|---|---|
| 2015 | 311 | 48 | 15.4% |
| 2016 | 307 | 45 | 14.7% |
| 2017 | 313 | 39 | 12.5% |
| 2018 | 170 | 13 | 7.6% |
| 2019 | 209 | 35 | 16.7% |
| 2020 | 120 | 30 | 25% |
| 2021 | 107 | 33 | 30.8% |
| 2022 | 70 | 22 | 31.4% |
| 2023 | 99 | 45 | 45.5% |
| 2024 | 166 | 49 | 29.5% |
| 2025 | 144 | 48 | 33.3% |
| 2026 | 108 | 31 | 28.7% |
Open licensing has sat between a fifth and a third of new material for six years running, with one better year. On the current trend the gap does not close on its own.
Licence and portal figures are counted from the complete NSW Flood Data Portal catalogue via its CKAN API on 22 August 2026: 4,417 dataset records with licences and file listings, not a sample. Market, cost, currency and fee figures are drawn from The State of Flood Risk Management in Greater Sydney (Perennial, current at 31 May 2026), which sources them to the Insurance Council of Australia, the Climate Council, NSW Government grant records and council fees schedules.
Study counts carry the underlying report’s own caveat. There is no authoritative register of adopted flood studies in NSW, and the portal’s custodians state plainly that it is not a complete catalogue, so the 250 to 400 range and the 60 to 80% currency estimate are best-available rather than audited. The absence of that register is part of the finding.
A dataset counts as holding data where a declared file format is a mapping format or an archive, because the catalogue does not list what is inside an archive. That overstates rather than understates availability, which is the safer direction for a finding of scarcity. Openly reusable is the narrower figure, with archives whose titles say they hold reports or figures removed. Nothing is excluded from any count and no year is dropped from the trend.
The counted figures are published as files, free to read with no key and no authentication, so anyone can check them or build on them: coverage-stats.json, coverage-datasheet.md and index.json.
Initial estimates for consultation only, subject to research and verification. Last updated 22 August 2026. Corrections to levee@perennialengineers.com.au.
Published by Perennial Consulting Engineers. LEVEE publishes CC BY material only. The map is at LEVEE Map and every dataset it publishes is credited on data sources.
LEVEE is built in four parts. Each gauge shows how far that part has risen, what is counted behind it, and what is not there yet. River stage equals project stage, which is why these are named stages rather than a percentage: a percentage of an unfinished thing is a guess, and a stage is a fact somebody decided.
Interactive tools that explain how flooding works
Council flood mapping for New South Wales, consolidated
A directory of consultants holding site specific studies commissioned by landowners
The modelling assumptions behind each study, cited to the report
Figures are counted from the published map manifest and the licence register on the date shown, and are republished as they change. A layer only appears on the map, and only counts here, once its source licence is recorded and permits publication. Nothing on this platform replaces a section 10.7 planning certificate.
Figures counted on 28 August 2026.
Counted from the published map on 28 August 2026. This is the part of the state’s flood information that is both openly licensed and actually on a map, against the audit on the other tab.
Figures are counted from the published map manifest and the licence register on the date shown, and are republished as they change. A layer only appears on the map, and only counts here, once its source licence is recorded and permits publication. Nothing on this platform replaces a section 10.7 planning certificate.