Price study · 2026

Property prices in RG14.

The median sold price in RG14 is £340,000, -6.5% year on year, across 494 HM Land Registry transactions in the last 12 months.

Median sold price
£340,000
Last 12 months · all types
Year on year
-6.5%
Median vs prior 12 months
Recorded sales
494
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 RG14
MonthMedian sold priceSales
2024-01£300,00069
2024-02£300,00073
2024-03£340,00085
2024-04£365,00051
2024-05£347,00070
2024-06£394,50075
2024-07£350,00091
2024-08£370,00079
2024-09£333,50056
2024-10£370,00070
2024-11£417,50066
2024-12£419,00093
2025-01£374,75068
2025-02£362,00074
2025-03£353,000148
2025-04£297,00029
2025-05£352,50044
2025-06£347,50062
2025-07£377,00073
2025-08£349,95083
2025-09£338,50071
2025-10£370,00080
2025-11£325,00067
2025-12£335,00055
2026-01£340,00047
2026-02£370,00067
2026-03£300,00074
2026-04£320,00045
2026-05£321,15046
2026-06£322,12538
2026-07£397,95053
2026-08£375,00019
2026-09—0
2026-10—0
2026-11—0

Price by property type

TypeMedianSales
Flat / maisonette £210,000 180
Semi-detached £412,550 116
Terraced £340,000 105
Detached £635,000 81
Other £535,500 12

Sectors — highest & lowest

Min 5 sales
Top 5
RG14 3£641,250
RG14 6£496,000
RG14 2£356,000
RG14 7£340,000
RG14 5£294,300
Bottom 1
RG14 1£235,000
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
Flat / maisonette 36.4% 29.5% +6.9 pp
Semi-detached 23.5% 19.7% +3.8 pp
Terraced 21.3% 21.0% +0.3 pp
Detached 16.4% 23.0% -6.6 pp
Other 2.4% 6.8% -4.4 pp

Most recent recorded sales

HM Land Registry · addresses abbreviated
OutcodeStreetTypeTenureSoldPrice
RG14 Paddock Road, Newbury Semi-detached Freehold 2026-08-21 £487,000
RG14 Jubilee Road, Newbury Terraced Freehold 2026-08-14 £320,000
RG14 Sutton Road, Newbury Semi-detached Freehold 2026-08-13 £355,000
RG14 Railway Road, Newbury Terraced Freehold 2026-08-13 £270,000
RG14 Stephenson Court, Newbury Flat / maisonette Leasehold 2026-08-12 £270,000
RG14 Belvedere Drive, Newbury Flat / maisonette Leasehold 2026-08-10 £141,500
RG14 Woodside, Newbury Terraced Freehold 2026-08-10 £375,000
RG14 Great Crescent, Newbury Semi-detached Freehold 2026-08-10 £385,000
RG14 Ladwell Close, Newbury Detached Freehold 2026-08-07 £760,000
RG14 Glendale Avenue, Newbury Detached Freehold 2026-08-07 £467,500
Buying in RG14?

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 RG14

Property prices in towns near RG14

FAQ: property prices in RG14

What is the average property price in RG14?

Based on HM Land Registry sold-price data from the last 12 months, the median sold price in RG14 is £340,000 across 494 recorded transactions. Prices are -6.5% year on year. See the table on this page for a breakdown by property type.

How much is my property worth in RG14?

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 RG14 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 RG14?

Over the last 12 months the RG14 median is -6.5% 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 RG14 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 RG14 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 RG14, 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 RG14 from HMLR Open Data. Each row is a real recorded sale; addresses are abbreviated (no house number) for the open dataset.