How should I use this ranking for property research?

Use the ranking as a screening step for New Zealand. Save realistic areas to your shortlist, compare the strongest pair, and open suburb detail pages before relying on one result.

Does the top ranked area mean it is the best choice?

No. Rankings are a shortlist input, not a final recommendation. Check price history, rent, income, population, local services, source freshness, and current listings before making a decision.

How current is the ranking data?

QuickProperty uses processed public-source datasets and refreshes automated sources where available. Use the suburb detail page source panels to see which signals are current, estimated, or missing for a specific area.

← Rankings

Ranking · New Zealand · 50 SA2 areas

Highest Flood Exposure

Name: Highest Flood Exposure — New Zealand ranked dataset
Creator: QuickProperty

SA2 areas with the most land inside council flood-hazard layers (population > 500). Estimated overlap with regional flood mapping, not a property-level flood certificate.

Leading area

ParakaiAUCKLAND

Leading value

100.0%

Runner-up

OrangaAUCKLAND

Updated

12 July 2026

Ranking

Highest Flood Exposure

SA2 areas with the most land inside council flood-hazard layers (population > 500). Estimated overlap with regional flood mapping, not a property-level flood certificate — New Zealand

50 results

How to read this ranking

Use highest flood exposure as a shortlist tool, then verify the finalists in detail.

BEST FOR

Finding which areas deserve a closer look first.

This ranking works best as a first-pass screen, especially when you need to reduce a wide field quickly.

READ IT AS

One signal in the workflow, not the whole answer.

A rank is useful because it compresses one dimension well, but it never replaces the fuller suburb-level picture.

NEXT STEP

Move into compare or suburb detail once a few names repeat.

Use the ranking to build a shortlist, then confirm whether those finalists still hold up on the rest of the data.

VERIFY evidence

Single-signal shortlist screen

A ranking compresses one signal well, but it should hand you into compare or suburb detail before becoming a decision.

SHORTLIST SCREEN

Top candidates are research leads.

Save a small working set, then use compare and evidence depth before treating any row as a decision.

Shortlist flow

Use #1 Parakai and #2 Oranga as the first compare pair.

Rankings are strongest when they hand you a shortlist quickly. Compare the top two first, then open suburb detail if the head-to-head result still feels narrow.

Compare top 2Open #1 detail Open #2 detail

Distribution

50 suburbs · midpoint ≈ 31.0%

Leader: Parakai · 100.0%

# ▲	AREA	REGION	EXPOSURE	BAND	POP
1	Parakai	AUCKLAND	100.0%	Severe	1,083
2	Oranga	AUCKLAND	67.5%	High	2,772
3	Takanini North	AUCKLAND	53.3%	High	2,589
4	The Strand	AUCKLAND	53.0%	High	1,341
5	Drury East	AUCKLAND	52.0%	High	768
6	Takanini East	AUCKLAND	51.1%	High	3,561
7	Papakura Eastburn	AUCKLAND	51.1%	High	3,411
8	Takapuna Central	AUCKLAND	48.8%	High	2,898
9	Wiri North	AUCKLAND	44.8%	High	2,889
10	Kaukapakapa	AUCKLAND	43.7%	High	1,062
11	Helensville	AUCKLAND	38.1%	Moderate	3,279
12	One Tree Hill Oranga	AUCKLAND	37.7%	Moderate	2,154
13	Takanini South	AUCKLAND	37.4%	Moderate	4,242
14	Kumeū-Huapai North	AUCKLAND	36.5%	Moderate	4,770
15	Wesley West	AUCKLAND	35.9%	Moderate	2,706
16	Henderson Larnoch	AUCKLAND	35.4%	Moderate	3,609
17	Waimauku	AUCKLAND	34.8%	Moderate	1,317
18	Māngere North	AUCKLAND	34.8%	Moderate	2,829
19	Drury South Crossing	AUCKLAND	34.4%	Moderate	693
20	Ferguson	AUCKLAND	34.2%	Moderate	3,063
21	Randwick Park East	AUCKLAND	33.3%	Moderate	2,475
22	Ardmore	AUCKLAND	32.8%	Moderate	1,323
23	Browns Bay Central	AUCKLAND	32.5%	Moderate	3,213
24	Quay Street-Customs Street	AUCKLAND	32.1%	Moderate	1,962
25	Orewa South	AUCKLAND	31.5%	Moderate	3,024
26	Papakura North	AUCKLAND	31.0%	Moderate	3,708
27	Greenlane Central	AUCKLAND	30.7%	Moderate	2,190
28	Remuera Waiatarua	AUCKLAND	30.1%	Moderate	2,385
29	Papakura East	AUCKLAND	30.1%	Moderate	3,042
30	Aorere South East	AUCKLAND	29.9%	Moderate	2,613
31	Drury West	AUCKLAND	29.5%	Moderate	891
32	Papakura Massey Park	AUCKLAND	29.2%	Moderate	2,979
33	Māngere West	AUCKLAND	29.2%	Moderate	3,495
34	Rosa Birch Park	AUCKLAND	29.1%	Moderate	2,043
35	Wiri East	AUCKLAND	28.6%	Moderate	2,136
36	Orewa Central	AUCKLAND	28.5%	Moderate	3,183
37	Narrow Neck	AUCKLAND	28.1%	Moderate	4,416
38	Pukekohe Hospital	AUCKLAND	27.9%	Moderate	1,656
39	Randwick Park West	AUCKLAND	27.7%	Moderate	3,477
40	Takanini West	AUCKLAND	27.3%	Moderate	2,907
41	Sandringham East	AUCKLAND	27.2%	Moderate	3,171
42	Ōpaheke	AUCKLAND	27.1%	Moderate	3,237
43	Waiuku Central	AUCKLAND	26.9%	Moderate	1,344
44	Conifer Grove East	AUCKLAND	26.9%	Moderate	2,301
45	Clevedon	AUCKLAND	26.7%	Moderate	1,581
46	Henderson West	AUCKLAND	26.6%	Moderate	2,787
47	Rānui North	AUCKLAND	26.6%	Moderate	3,855
48	Wesley East	AUCKLAND	26.5%	Moderate	1,983
49	Stanmore Bay East	AUCKLAND	26.4%	Moderate	2,844
50	Northcote Tuff Crater	AUCKLAND	26.3%	Moderate	2,241

By Region

Highest Flood Exposure by region

FAQ

New Zealand highest flood exposure FAQ

What does Highest Flood Exposure rank?

Highest Flood Exposure ranks areas in New Zealand using QuickProperty's processed property and locality datasets. SA2 areas with the most land inside council flood-hazard layers (population > 500). Estimated overlap with regional flood mapping, not a property-level flood certificate
How should I use this ranking for property research?

Use the ranking as a screening step for New Zealand. Save realistic areas to your shortlist, compare the strongest pair, and open suburb detail pages before relying on one result.
Does the top ranked area mean it is the best choice?

No. Rankings are a shortlist input, not a final recommendation. Check price history, rent, income, population, local services, source freshness, and current listings before making a decision.
How current is the ranking data?

QuickProperty uses processed public-source datasets and refreshes automated sources where available. Use the suburb detail page source panels to see which signals are current, estimated, or missing for a specific area.