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New Zealand weekly private rent distribution: lower quartile, median & upper quartile

Ticker: rent-quartile-spread • Observation Period: August 2026 (Period End: 2026-08-31) • Last Checked: 10 November 2026 • Creator: Andy Palliser
Also known as: MBIE Tenancy Services 25th, 50th, and 75th percentile weekly rent spread
In August 2026, New Zealand private weekly rents ranged from $500/wk at the lower quartile (25th percentile) and $595/wk at the national median to $700/wk at the upper quartile (75th percentile)—a spread of $200/wk ($10,400/yr).
Official dataMBIE Tenancy Services (August 2026): Nationwide ('ALL') Lower Quartile Rent = $500/wk; Median Rent = $595/wk; Upper Quartile Rent = $700/wk.
HLF calculationUpper Quartile ($700/wk) minus Lower Quartile ($500/wk) = $200/wk ($10,400/yr)
HLF interpretationHLF market context: Comparing lower-quartile entry-level rents against median and upper-quartile family rents helps both tenants budgeting for a first-home deposit and investors assessing different property tiers.
Cite as: HLF Pulse, Home Loan Factory. "New Zealand weekly private rent distribution: lower quartile, median & upper quartile," August 2026. Derived by HLF from MBIE Tenancy Services — Rental Bond Data (Quartile Series). https://pulse-data.homeloanfactory.co.nz/rent-quartile-spread/ (checked 10 November 2026). CC BY 4.0.
Created by Andy Palliser Creator of HLF Pulse
Mortgage & KiwiSaver Adviser · Home Loan Factory (Andrew Jonathan Palliser, FSP1004725) • Published by HLF (Home Loan Factory)

Data Dictionary Specification (4-Field Date Standard)

NameNew Zealand weekly private rent distribution: lower quartile, median & upper quartile
Tickerrent-quartile-spread
Also known asMBIE Tenancy Services 25th, 50th, and 75th percentile weekly rent spread
Creator & PublisherCreated by Andy Palliser (Andrew Jonathan Palliser, FSP1004725) • Published by HLF (Home Loan Factory)
Official source & seriesMBIE Tenancy Services (MBIE Tenancy Services — Rental Bond Data (Quartile Series)) • Series IDs: Tenancy Services Lower Quartile, Median & Upper Quartile Weekly Rent
FrequencyMonthly
1. Observation periodAugust 2026 (YYYY-MM code: 2026-08) — when the underlying statistic relates to
2. Period end2026-08-31 — final calendar date covered by the observation period
3. Source publication date2026-10-13 (13 October 2026) — when the original organisation released this dataset
4. Last checked10 November 2026 (2026-11-10) — when HLF last verified the official source
DefinitionThe lower quartile (25th percentile), median (50th percentile), and upper quartile (75th percentile) weekly private rent across newly lodged New Zealand tenancy bonds, plus the interquartile dollar spread.
MethodologySourced from MBIE Tenancy Services monthly regional bond dataset.
Current valueLower quartile $500/wk | Median $595/wk | Upper quartile $700/wk
Comparison / Prior periodInterquartile spread: $200/wk ($10,400/yr) • Annualised rent range: $26,000/yr (25th pct) to $36,400/yr (75th pct)
Official dataMBIE Tenancy Services (August 2026): Nationwide ('ALL') Lower Quartile Rent = $500/wk; Median Rent = $595/wk; Upper Quartile Rent = $700/wk.
HLF calculationUpper Quartile ($700/wk) minus Lower Quartile ($500/wk) = $200/wk ($10,400/yr)
Formula: Interquartile Spread = Upper Quartile Rent − Lower Quartile Rent (NZD/wk and NZD/yr)
HLF interpretationHLF market context: Comparing lower-quartile entry-level rents against median and upper-quartile family rents helps both tenants budgeting for a first-home deposit and investors assessing different property tiers.
HLF derivedYes (Officially reported MBIE quartiles & HLF-calculated interquartile spread)
Cite asHLF Pulse, Home Loan Factory. "New Zealand weekly private rent distribution: lower quartile, median & upper quartile," August 2026. Derived by HLF from MBIE Tenancy Services — Rental Bond Data (Quartile Series). https://pulse-data.homeloanfactory.co.nz/rent-quartile-spread/ (checked 10 November 2026). CC BY 4.0.
Reuse licenceCC BY 4.0 (HLF-derived calculations, definitions & commentary; official statistics credited to MBIE Tenancy Services) • Media Kit & Citation Guide
Historical dataAvailable from February 1993 (403 monthly observations)

Historical & Cohort Breakdown (Available from February 1993 (403 monthly observations))

Category / Region / PeriodValue
Lower Quartile (25th percentile)$500/wk ($26,000/yr)
National Median (50th percentile)$595/wk ($30,940/yr)
Upper Quartile (75th percentile)$700/wk ($36,400/yr)

Questions This Data Helps Answer

Source & Tool Verification Chain

1. Official Source & SeriesMBIE Tenancy Services — Rental Bond Data (Quartile Series)
Series: Tenancy Services Lower Quartile, Median & Upper Quartile Weekly Rent
2. HLF Transformation
Yes
Interquartile Spread = Upper Quartile Rent − Lower Quartile Rent (NZD/wk and NZD/yr)
3. Canonical Pulse Record/rent-quartile-spread/
JSON: pulse.json
4. Interactive CalculatorNZ Property Rental Yield Calculator

How Dates Are Recorded in HLF Pulse (4-Field Date Standard)

To prevent confusion between when an economic activity occurred and when a government agency published its release, every HLF Pulse record separates four distinct date fields:

Date FieldDefinition & How It Is Populated
1. Observation period (observation_period)The period the underlying statistic relates to (for example, September 2026 for monthly RBNZ lending, or Year ended 31 March 2026 for the FMA KiwiSaver Annual Report).
2. Period end (period_end / as_of)The final calendar date covered by the observation period (for example, 2026-09-30 or 2026-03-31). Used by HLF’s automated freshness gate to verify series currency.
3. Source publication date (source_published)When the original organisation released the statistic (for example, 2026-09-10 for the FMA’s 2026 KiwiSaver Annual Report, or the Published Date recorded inside RBNZ’s workbook metadata). HLF never copies period_end into source_published; where an agency page does not state an exact release date, the agency’s publication schedule is stated explicitly.
4. Last checked (last_checked)The date HLF’s automated pipeline last fetched and verified the official source.

Data Quality & Limitations

Reuse Terms, Licensing & How to Cite (CC BY 4.0)