Method selection examples for NSW planning work. They do not predict approval, feasibility, causation or investment return.
Direct answer
Planning data analysis starts by defining the decision, geography, period and measure. A parcel screen, place comparison, policy baseline, development pipeline and serviceability study need different evidence. Reusing one chart or average across all six tasks creates confident but weak conclusions.
The decision fixes the geography, record and method before analysis begins
A four-part setup prevents a convenient dataset or chart from silently changing the planning question.
- Define the decision
State the site, comparison, baseline, pipeline, serviceability or monitoring question.
- Fix the frame
Choose the geography, period, unit, denominator and source vintage before comparing values.
- Select the record
Use the parcel, place measure, policy baseline, application record or service condition the task requires.
- State the boundary
Separate observation from approval, feasibility, prediction, causation or investment conclusions.
1. Screen a development site
Question: which mapped and written controls may affect this land?
Use the resolved parcel, current environmental planning instruments and the relevant incorporated maps. The output is a source-linked list of identified, unresolved and judgement-dependent checks. It is not an approval prediction.
2. Compare places on one defined measure
Question: how do selected NSW areas differ on housing growth, household change, employment or another planning measure?
Use the same geography type, period, unit and denominator. Show missing values and boundary changes. A difference between areas is an observation. It does not identify the cause.
3. Establish a policy baseline
Question: what conditions existed when a plan, target or programme began?
Freeze the policy date and the source data available at that time. Separate targets, forecasts, scenarios and observed outcomes. Later data can update the baseline analysis, but it should not silently replace the original starting point.
4. Inspect a development-application pipeline
Question: what has been lodged or determined in a place and period?
Use application identifiers, status, dates, development type and location. Keep duplicate, amended, withdrawn and missing records visible. A determination does not prove construction, and a lodgement does not measure future supply.
5. Test land or infrastructure serviceability
Question: how much land meets the stated planning and servicing conditions?
Define every condition and use compatible spatial units. Separate zoned land, serviced land and development-ready land. Those measures answer different questions and should not be merged into one availability figure.
6. Monitor change after a policy decision
Question: did the measured condition move after an intervention?
Use a fixed indicator, cadence and comparison rule. Record other changes that could affect the measure. A before-and-after pattern does not establish that the policy caused it.
Method selection table
Six-question planning method selector
A Plynth-authored table matching each planning decision to the record it needs and the interpretation error most likely to distort it.
| Decision | Required record | Common error |
|---|---|---|
| Site screen | Parcel, source, date and proposal facts | Treating a map hit as a conclusion |
| Place comparison | Geography, period, unit and denominator | Comparing unlike areas or vintages |
| Policy baseline | Commencement, target and observed measure | Mixing targets with outcomes |
| DA pipeline | Application identity, status and time | Treating lodgement as delivery |
| Serviceability | Explicit planning and service conditions | Treating zoned land as ready land |
| Change monitoring | Stable indicator and confounder note | Claiming causation from timing |
Plynth evidence and limits
Plynth publishes bounded NSW research that demonstrates several of these methods. The housing-target intensity study keeps its denominator and geography visible. The industrial-land serviceability study separates zoned, serviced and development-ready land.
Official source starting points
Document every transformation and unresolved data-quality issue.