Bank of England | Database Export source data
| Date | End month level of yield from British Government Stock, 20 year Nominal Par Yield [a] IUMLNPY |
|---|---|
| 31 Jan 10 | 4.3774 |
| 28 Feb 10 | 4.5701 |
| 31 Mar 10 | 4.4855 |
| 30 Apr 10 | 4.446 |
| 31 May 10 | 4.2552 |
| 30 Jun 10 | 4.124 |
| 31 Jul 10 | 4.206 |
| 31 Aug 10 | 3.6949 |
| 30 Sep 10 | 3.7788 |
| 31 Oct 10 | 4.0198 |
| 30 Nov 10 | 4.1113 |
| 31 Dec 10 | 4.1056 |
| 31 Jan 11 | 4.3548 |
| 28 Feb 11 | 4.3257 |
| 31 Mar 11 | 4.3193 |
| 30 Apr 11 | 4.1552 |
| 31 May 11 | 4.095 |
| 30 Jun 11 | 4.2434 |
| 31 Jul 11 | 3.9374 |
| 31 Aug 11 | 3.7409 |
| 30 Sep 11 | 3.3141 |
| 31 Oct 11 | 3.2378 |
| 30 Nov 11 | 3.0057 |
| 31 Dec 11 | 2.8633 |
| 31 Jan 12 | 2.8494 |
| 29 Feb 12 | 3.0603 |
| 31 Mar 12 | 3.182 |
| 30 Apr 12 | 3.1524 |
| 31 May 12 | 2.6577 |
| 30 Jun 12 | 2.7671 |
| 31 Jul 12 | 2.5848 |
| 31 Aug 12 | 2.6124 |
| 30 Sep 12 | 2.7191 |
| 31 Oct 12 | 2.8088 |
| 30 Nov 12 | 2.7477 |
| 31 Dec 12 | 2.8059 |
| 31 Jan 13 | 3.0504 |
| 28 Feb 13 | 3.0001 |
| 31 Mar 13 | 2.8568 |
| 30 Apr 13 | 2.7386 |
| 31 May 13 | 3.032 |
| 30 Jun 13 | 3.3001 |
| 31 Jul 13 | 3.2848 |
| 31 Aug 13 | 3.4 |
| 30 Sep 13 | 3.3286 |
| 31 Oct 13 | 3.283 |
| 30 Nov 13 | 3.4234 |
| 31 Dec 13 | 3.5409 |
| 31 Jan 14 | 3.3414 |
| 28 Feb 14 | 3.3605 |
| 31 Mar 14 | 3.3644 |
| 30 Apr 14 | 3.2928 |
| 31 May 14 | 3.1939 |
| 30 Jun 14 | 3.2854 |
| 31 Jul 14 | 3.1791 |
| 31 Aug 14 | 2.8328 |
| 30 Sep 14 | 2.918 |
| 31 Oct 14 | 2.8306 |
| 30 Nov 14 | 2.5302 |
| 31 Dec 14 | 2.3634 |
| 31 Jan 15 | 1.9087 |
| 28 Feb 15 | 2.3539 |
| 31 Mar 15 | 2.1377 |
| 30 Apr 15 | 2.386 |
| 31 May 15 | 2.3996 |
| 30 Jun 15 | 2.5947 |
| 31 Jul 15 | 2.474 |
| 31 Aug 15 | 2.4738 |
| 30 Sep 15 | 2.3728 |
| 31 Oct 15 | 2.5031 |
| 30 Nov 15 | 2.4405 |
| 31 Dec 15 | 2.5538 |
| 31 Jan 16 | 2.2543 |
| 29 Feb 16 | 2.1661 |
| 31 Mar 16 | 2.1864 |
| 30 Apr 16 | 2.3183 |
| 31 May 16 | 2.1562 |
| 30 Jun 16 | 1.6781 |
| 31 Jul 16 | 1.4024 |
| 31 Aug 16 | 1.167 |
| 30 Sep 16 | 1.4298 |
| 31 Oct 16 | 1.8333 |
| 30 Nov 16 | 2.0075 |
| 31 Dec 16 | 1.8407 |
| 31 Jan 17 | 2.0106 |
| 28 Feb 17 | 1.7504 |
| 31 Mar 17 | 1.7309 |
| 30 Apr 17 | 1.7266 |
| 31 May 17 | 1.6918 |
| 30 Jun 17 | 1.87 |
| 31 Jul 17 | 1.8637 |
| 31 Aug 17 | 1.6977 |
| 30 Sep 17 | 1.9135 |
| 31 Oct 17 | 1.9042 |
| 30 Nov 17 | 1.8701 |
| 31 Dec 17 | 1.748 |
| 31 Jan 18 | 1.9265 |
| 28 Feb 18 | 1.9146 |
| 31 Mar 18 | 1.7181 |
| 30 Apr 18 | 1.8365 |
| 31 May 18 | 1.6995 |
| 30 Jun 18 | 1.7395 |
| 31 Jul 18 | 1.7756 |
| 31 Aug 18 | 1.7692 |
| 30 Sep 18 | 1.9121 |
| 31 Oct 18 | 1.8374 |
| 30 Nov 18 | 1.9 |
| 31 Dec 18 | 1.7726 |
| 31 Jan 19 | 1.6753 |
| 28 Feb 19 | 1.775 |
| 31 Mar 19 | 1.4244 |
| 30 Apr 19 | 1.6481 |
| 31 May 19 | 1.3505 |
| 30 Jun 19 | 1.3575 |
| 31 Jul 19 | 1.1518 |
| 31 Aug 19 | 0.8549 |
| 30 Sep 19 | 0.8331 |
| 31 Oct 19 | 0.9812 |
| 30 Nov 19 | 1.0516 |
| 31 Dec 19 | 1.2292 |
| 31 Jan 20 | 0.9069 |
| 29 Feb 20 | 0.8007 |
| 31 Mar 20 | 0.7771 |
| 30 Apr 20 | 0.6274 |
| 31 May 20 | 0.5559 |
| 30 Jun 20 | 0.615 |
| 31 Jul 20 | 0.5497 |
| 31 Aug 20 | 0.8456 |
| 30 Sep 20 | 0.7257 |
| 31 Oct 20 | 0.7366 |
| 30 Nov 20 | 0.7901 |
| 31 Dec 20 | 0.6605 |
| 31 Jan 21 | 0.7807 |
| 28 Feb 21 | 1.3324 |
| 31 Mar 21 | 1.3608 |
| 30 Apr 21 | 1.3222 |
| 31 May 21 | 1.29 |
| 30 Jun 21 | 1.2297 |
| 31 Jul 21 | 0.9939 |
| 31 Aug 21 | 1.0656 |
| 30 Sep 21 | 1.3801 |
| 31 Oct 21 | 1.1782 |
| 30 Nov 21 | 0.9843 |
| 31 Dec 21 | 1.1759 |
| 31 Jan 22 | 1.4995 |
| 28 Feb 22 | 1.6375 |
| 31 Mar 22 | 1.7764 |
| 30 Apr 22 | 2.0875 |
| 31 May 22 | 2.4141 |
| 30 Jun 22 | 2.6182 |
| 31 Jul 22 | 2.3351 |
| 31 Aug 22 | 3.0472 |
| 30 Sep 22 | 3.9776 |
| 31 Oct 22 | 3.7249 |
| 30 Nov 22 | 3.4308 |
| 31 Dec 22 | 3.9284 |
| 31 Jan 23 | 3.6683 |
| 28 Feb 23 | 3.9973 |
| 31 Mar 23 | 3.7075 |
| 30 Apr 23 | 3.9153 |
| 31 May 23 | 4.3117 |
| 30 Jun 23 | 4.3187 |
| 31 Jul 23 | 4.2986 |
| 31 Aug 23 | 4.4257 |
| 30 Sep 23 | 4.632 |
| 31 Oct 23 | 4.7322 |
| 30 Nov 23 | 4.4284 |
| 31 Dec 23 | 3.8977 |
| 31 Jan 24 | 4.1925 |
| 29 Feb 24 | 4.3262 |
| 31 Mar 24 | 4.1783 |
Notes:
[a] Calculated using the Variable Roughness Penalty (VRP) model.