Most and least expensive streets

Milton Keynes, MK2


Milton Keynes, MK2 has a total of 156 streets. The most expensive street in MK2 is Princes Way, with an average sale price of £1,387,978. The least expensive street in MK2 is Serpentine Court, with an average sale price of £87,000.



Filter by number of transactions

Most expensive streets

Rank Street Transactions (Past 5 years) Average price
1 Princes Way

MK2 2EN | MK2 2ER | MK2 2FB | MK2 2HQ
37 £1,387,978
2 Saxon Street

MK2 2JP | MK2 2JU
2 £1,009,807
3 Watling Street

MK2 2AW | MK2 2BL | MK2 2BS | MK2 2BU | MK2 2BY
17 £352,178
4 Queensway

MK2 2AA | MK2 2BZ | MK2 2DG | MK2 2DH | MK2 2DN | MK2 2DR | MK2 2DW | MK2 2DY | MK2 2DZ | MK2 2EB | MK2 2ED | MK2 2EE | MK2 2EH | MK2 2EQ | MK2 2EX | MK2 2FE | MK2 2HB | MK2 2RS | MK2 2RU | MK2 2RX | MK2 2SA | MK2 2SP | MK2 2SS | MK2 2ST | MK2 2SW | MK2 2TE | MK2 2YY | MK2 2ZW
49 £348,598
5 Manor Road

MK2 2GT | MK2 2HP | MK2 2HR | MK2 2HW
6 £346,806
6 Sycamore Avenue

MK2 2JE | MK2 2JF | MK2 2JH | MK2 2JJ | MK2 2JL
1 £330,000
7 Eaton Avenue

MK2 2HJ | MK2 2HN
15 £319,491
8 Westfield Road

MK2 2DJ | MK2 2RA | MK2 2RB | MK2 2RD | MK2 2RE | MK2 2RF | MK2 2RR
8 £314,966
9 Dynasty Drive

MK2 2FQ
5 £314,200
10 Leon Avenue

MK2 2HL
11 £307,036


Least expensive streets

Rank Street Transactions (Past 5 years) Average price
1 Serpentine Court

MK2 3QJ | MK2 3QL | MK2 3QN | MK2 3QP | MK2 3QR | MK2 3QS | MK2 3QW
1 £87,000
2 Findlay Way

MK2 2YZ
7 £100,000
3 Mossmans Close

MK2 3BU
4 £100,250
4 Empingham Close

MK2 3QT
6 £102,417
5 Wharfside

MK2 2AZ
7 £112,214
6 Wetherburn Court

MK2 2AF | MK2 2AS | MK2 2UW
10 £117,946
7 Kinloch Place

MK2 3HH | MK2 3NN
6 £121,850
8 Allen Close

MK2 3HF
1 £125,000
9 Durrans Court

MK2 2TG | MK2 2TQ
7 £125,214
10 Clifford Avenue

MK2 2LS | MK2 2LT
9 £136,889


Street ranking notes

Average street prices are calculated using all sales in the HM Land Registry data from the past 5 years. It is important to note that as homes are demolished and built these prices will fluctuate over time accordingly. Use the transactions number filter to avoid any anomalous data caused by low transaction numbers.