Price study · 2026

Property prices in HP22.

The median sold price in HP22 is £475,000, +2.2% year on year, across 331 HM Land Registry transactions in the last 12 months.

Median sold price
£475,000
Last 12 months · all types
Year on year
+2.2%
Median vs prior 12 months
Recorded sales
331
HMLR transactions, 12 months

Sold-price trend

Median sold price over time · monthly · hover or tap the line for the figure
Median sold-price trend for HP22
MonthMedian sold priceSales
2024-01£460,00031
2024-02£460,00053
2024-03£445,00058
2024-04£450,00050
2024-05£425,00081
2024-06£437,00082
2024-07£445,50048
2024-08£465,00053
2024-09£405,00063
2024-10£495,00057
2024-11£500,00055
2024-12£461,93762
2025-01£470,00045
2025-02£453,75070
2025-03£441,750137
2025-04£530,00025
2025-05£461,62560
2025-06£477,37564
2025-07£499,55045
2025-08£515,00064
2025-09£502,50072
2025-10£460,00070
2025-11£467,50046
2025-12£470,25051
2026-01£522,50034
2026-02£505,00031
2026-03£456,56248
2026-04£500,00032
2026-05£475,00035
2026-06£435,00020
2026-07£447,50033
2026-08£470,00010
2026-09—0
2026-10—0
2026-11—0

Price by property type

TypeMedianSales
Detached £665,000 126
Semi-detached £440,000 109
Terraced £385,000 56
Flat / maisonette £247,500 28
Other £451,434 12

Sectors — highest & lowest

Min 5 sales
Top 5
HP22 0£630,000
HP22 4£515,000
HP22 6£500,000
HP22 5£490,000
HP22 3£470,000
Bottom 1
HP22 7£418,000
The spread between the top and bottom postcode sector is why street-level valuation beats the city average.

What's selling now vs two years ago

TypeNow2y agoChange
Detached 38.1% 32.9% +5.2 pp
Semi-detached 32.9% 38.0% -5.1 pp
Terraced 16.9% 14.7% +2.2 pp
Flat / maisonette 8.5% 11.8% -3.3 pp
Other 3.6% 2.7% +0.9 pp

Most recent recorded sales

HM Land Registry · addresses abbreviated
OutcodeStreetTypeTenureSoldPrice
HP22 Nashs Farm, Aylesbury Semi-detached Freehold 2026-08-21 £490,000
HP22 Carrington Crescent, Aylesbury Semi-detached Freehold 2026-08-18 £450,000
HP22 Nutmeg Close, Aylesbury Semi-detached Freehold 2026-08-18 £420,000
HP22 Marston Gate, Aylesbury Detached Freehold 2026-08-18 £665,000
HP22 Hemlock Close, Aylesbury Semi-detached Freehold 2026-08-13 £417,500
HP22 Mill Mead, Aylesbury Terraced Freehold 2026-08-10 £617,500
HP22 Wroughton Road, Aylesbury Flat / maisonette Leasehold 2026-08-07 £245,000
HP22 Wenwell Close, Aylesbury Semi-detached Freehold 2026-08-07 £700,000
HP22 White Hart Field, Aylesbury Terraced Freehold 2026-08-06 £385,000
HP22 Aylesbury Detached Freehold 2026-08-05 £700,000
Buying in HP22?

You know the prices. Now the borrowing.

A hand-picked broker checks your real budget across the whole market — free, no obligation. Most UK brokers charge a fee; ours don't.

Free · FCA-regulated · no credit-file impact

More about HP22

Property prices in towns near HP22

FAQ: property prices in HP22

What is the average property price in HP22?

Based on HM Land Registry sold-price data from the last 12 months, the median sold price in HP22 is £475,000 across 331 recorded transactions. Prices are +2.2% year on year. See the table on this page for a breakdown by property type.

How much is my property worth in HP22?

Your specific property's value depends on its size, condition, garden, tenure and exact street. Run an Offrly valuation: photo-aware AI prices your home against live comparable listings around it to give an address-specific estimate in about 30 seconds, with the price bracket free.

Where does HP22 property-price data come from?

All medians, means and recent sold prices on this page are computed from HM Land Registry Price Paid Data, published monthly under the Open Government Licence v3.0. Offrly adds no markup or adjustment to the raw public figures.

Are property prices rising or falling in HP22?

Over the last 12 months the HP22 median is +2.2% compared to the prior 12 months. See the sold-price trend on this page for the shape.

Source: HM Land Registry Price Paid Data, licensed under Open Government Licence v3.0. Offrly estimates are indicative market guidance — not regulated valuations and not financial, tax or legal advice.

How these numbers are calculated

Every figure on this page comes from HM Land Registry Price Paid Data (HMLR), licensed under the Open Government Licence v3.0. No assumptions or proprietary models are layered on top — this is unmodified HMLR truth.

  1. Median sold price (hero). The middle value of every HP22 sale recorded in HMLR Price Paid Data over the last 12 months. Median (rather than mean) is used because it isn't skewed by individual high-value sales.
  2. Year-on-year change. Formula: (medianlast 12mo − medianprior 12mo) ÷ medianprior 12mo. Both medians come from HMLR Price Paid Data.
  3. Recorded transactions. Count of HMLR records for HP22 in the last 12 months. The HMLR sale-to-registration lag typically runs 2 weeks to 2 months, so the most recent 1–2 months are necessarily incomplete and may revise upward.
  4. Sold-price trend. Median sold price for each calendar month over up to five years — or for each week, on ranges of six months or less where there are enough sales — drawn from HMLR Price Paid Data. The latest months, still inside HMLR's ~4–6 week registration lag, are left off the line.
  5. Price by property type. Same median calculation as the hero, grouped by HMLR's property-type code (Detached / Semi / Terraced / Flat / Other). A type-specific median is suppressed when fewer than 5 transactions are recorded for the type so a single sale doesn't dominate the figure.
  6. Postcode breakdown (top / bottom). For each postcode within HP22, the median of HMLR sales over the last 12 months. Postcodes with fewer than 5 recorded sales are excluded so the leaderboard reflects genuine market segments rather than one-off transactions.
  7. Mix shift (now vs. two years ago). Share of HMLR transactions by property type in the last 12 months minus the share in the 12 months ending two years ago. Reported in percentage points (pp).
  8. Recent sold comparables. The 10 most recent records for HP22 from HMLR Open Data. Each row is a real recorded sale; addresses are abbreviated (no house number) for the open dataset.