Bank of England | Database Export source data
| Date | Monthly average yield from British Government Securities, 10 year Nominal Par Yield [a] [b] IUMAMNPY |
|---|---|
| 31 Jan 10 | 4.0025 |
| 28 Feb 10 | 4.0624 |
| 31 Mar 10 | 4.0915 |
| 30 Apr 10 | 4.1007 |
| 31 May 10 | 3.7772 |
| 30 Jun 10 | 3.6007 |
| 31 Jul 10 | 3.5087 |
| 31 Aug 10 | 3.233 |
| 30 Sep 10 | 3.1271 |
| 31 Oct 10 | 3.0685 |
| 30 Nov 10 | 3.311 |
| 31 Dec 10 | 3.6098 |
| 31 Jan 11 | 3.7273 |
| 28 Feb 11 | 3.8799 |
| 31 Mar 11 | 3.7386 |
| 30 Apr 11 | 3.7619 |
| 31 May 11 | 3.5053 |
| 30 Jun 11 | 3.4144 |
| 31 Jul 11 | 3.3137 |
| 31 Aug 11 | 2.7833 |
| 30 Sep 11 | 2.504 |
| 31 Oct 11 | 2.529 |
| 30 Nov 11 | 2.2917 |
| 31 Dec 11 | 2.1828 |
| 31 Jan 12 | 2.1104 |
| 29 Feb 12 | 2.2191 |
| 31 Mar 12 | 2.323 |
| 30 Apr 12 | 2.2117 |
| 31 May 12 | 1.9416 |
| 30 Jun 12 | 1.7698 |
| 31 Jul 12 | 1.6523 |
| 31 Aug 12 | 1.6735 |
| 30 Sep 12 | 1.7222 |
| 31 Oct 12 | 1.7721 |
| 30 Nov 12 | 1.7741 |
| 31 Dec 12 | 1.8467 |
| 31 Jan 13 | 2.0795 |
| 28 Feb 13 | 2.1781 |
| 31 Mar 13 | 1.9768 |
| 30 Apr 13 | 1.7824 |
| 31 May 13 | 1.9462 |
| 30 Jun 13 | 2.3063 |
| 31 Jul 13 | 2.471 |
| 31 Aug 13 | 2.7088 |
| 30 Sep 13 | 2.8443 |
| 31 Oct 13 | 2.6784 |
| 30 Nov 13 | 2.7598 |
| 31 Dec 13 | 2.9458 |
| 31 Jan 14 | 2.91 |
| 28 Feb 14 | 2.8147 |
| 31 Mar 14 | 2.7837 |
| 30 Apr 14 | 2.7417 |
| 31 May 14 | 2.6989 |
| 30 Jun 14 | 2.7842 |
| 31 Jul 14 | 2.7343 |
| 31 Aug 14 | 2.5347 |
| 30 Sep 14 | 2.4919 |
| 31 Oct 14 | 2.2469 |
| 30 Nov 14 | 2.1593 |
| 31 Dec 14 | 1.9287 |
| 31 Jan 15 | 1.589 |
| 28 Feb 15 | 1.7365 |
| 31 Mar 15 | 1.7941 |
| 30 Apr 15 | 1.755 |
| 31 May 15 | 2.0243 |
| 30 Jun 15 | 2.1696 |
| 31 Jul 15 | 2.1353 |
| 31 Aug 15 | 1.9799 |
| 30 Sep 15 | 1.8814 |
| 31 Oct 15 | 1.846 |
| 30 Nov 15 | 1.9779 |
| 31 Dec 15 | 1.9234 |
| 31 Jan 16 | 1.7833 |
| 29 Feb 16 | 1.5032 |
| 31 Mar 16 | 1.5434 |
| 30 Apr 16 | 1.5688 |
| 31 May 16 | 1.5366 |
| 30 Jun 16 | 1.3105 |
| 31 Jul 16 | 0.9569 |
| 31 Aug 16 | 0.7421 |
| 30 Sep 16 | 0.8243 |
| 31 Oct 16 | 1.078 |
| 30 Nov 16 | 1.3818 |
| 31 Dec 16 | 1.4336 |
| 31 Jan 17 | 1.4203 |
| 28 Feb 17 | 1.3058 |
| 31 Mar 17 | 1.194 |
| 30 Apr 17 | 1.0789 |
| 31 May 17 | 1.1175 |
| 30 Jun 17 | 1.0846 |
| 31 Jul 17 | 1.2713 |
| 31 Aug 17 | 1.1241 |
| 30 Sep 17 | 1.2436 |
| 31 Oct 17 | 1.3816 |
| 30 Nov 17 | 1.3299 |
| 31 Dec 17 | 1.2781 |
| 31 Jan 18 | 1.3931 |
| 28 Feb 18 | 1.6034 |
| 31 Mar 18 | 1.508 |
| 30 Apr 18 | 1.5108 |
| 31 May 18 | 1.5016 |
| 30 Jun 18 | 1.4229 |
| 31 Jul 18 | 1.3739 |
| 31 Aug 18 | 1.3991 |
| 30 Sep 18 | 1.5023 |
| 31 Oct 18 | 1.5462 |
| 30 Nov 18 | 1.4541 |
| 31 Dec 18 | 1.3125 |
| 31 Jan 19 | 1.3221 |
| 28 Feb 19 | 1.239 |
| 31 Mar 19 | 1.19 |
| 30 Apr 19 | 1.1906 |
| 31 May 19 | 1.13 |
| 30 Jun 19 | 0.919 |
| 31 Jul 19 | 0.8304 |
| 31 Aug 19 | 0.5776 |
| 30 Sep 19 | 0.5981 |
| 31 Oct 19 | 0.6373 |
| 30 Nov 19 | 0.765 |
| 31 Dec 19 | 0.8308 |
| 31 Jan 20 | 0.7235 |
| 29 Feb 20 | 0.633 |
| 31 Mar 20 | 0.4609 |
| 30 Apr 20 | 0.3577 |
| 31 May 20 | 0.2743 |
| 30 Jun 20 | 0.278 |
| 31 Jul 20 | 0.2094 |
| 31 Aug 20 | 0.2717 |
| 30 Sep 20 | 0.273 |
| 31 Oct 20 | 0.3058 |
| 30 Nov 20 | 0.3836 |
| 31 Dec 20 | 0.3224 |
| 31 Jan 21 | 0.3672 |
| 28 Feb 21 | 0.6222 |
| 31 Mar 21 | 0.8456 |
| 30 Apr 21 | 0.8515 |
| 31 May 21 | 0.9058 |
| 30 Jun 21 | 0.8549 |
| 31 Jul 21 | 0.6979 |
| 31 Aug 21 | 0.644 |
| 30 Sep 21 | 0.8023 |
| 31 Oct 21 | 1.083 |
| 30 Nov 21 | 0.9394 |
| 31 Dec 21 | 0.8375 |
| 31 Jan 22 | 1.2051 |
| 28 Feb 22 | 1.4891 |
| 31 Mar 22 | 1.5457 |
| 30 Apr 22 | 1.8362 |
| 31 May 22 | 1.9069 |
| 30 Jun 22 | 2.3824 |
| 31 Jul 22 | 2.1454 |
| 31 Aug 22 | 2.3278 |
| 30 Sep 22 | 3.5007 |
| 31 Oct 22 | 4.1096 |
| 30 Nov 22 | 3.4171 |
| 31 Dec 22 | 3.5015 |
| 31 Jan 23 | 3.5115 |
| 28 Feb 23 | 3.5553 |
| 31 Mar 23 | 3.5638 |
| 30 Apr 23 | 3.6503 |
| 31 May 23 | 3.9621 |
| 30 Jun 23 | 4.3659 |
| 31 Jul 23 | 4.4372 |
| 31 Aug 23 | 4.5298 |
| 30 Sep 23 | 4.4199 |
| 31 Oct 23 | 4.5695 |
| 30 Nov 23 | 4.2721 |
| 31 Dec 23 | 3.8622 |
| 31 Jan 24 | 3.9319 |
| 29 Feb 24 | 4.123 |
| 31 Mar 24 | 4.033 |
Notes:
[a] Calculated using the Variable Roughness Penalty (VRP) model.
[b] The monthly average figure is calculated using the available daily observations within each month.