SHIBOR 1-week in China, 2016
SHIBOR 1-week in 2016: 250 values, Annual average — 2.37 %. Official data — China Foreign Exchange Trade System.

2016 totals
- Annual average: 2.37 %
- Value at start of year: 2.335 % (4 January 2016)
- Value at end of year: 2.543 % (30 December 2016)
- Minimum and maximum: 2.28 … 2.547 %
- Number of observations: 250
- Source: China Foreign Exchange Trade System
All values for 2016
| Date | Value, % |
|---|---|
| 4 January 2016 | 2.335 |
| 5 January 2016 | 2.33 |
| 6 January 2016 | 2.322 |
| 7 January 2016 | 2.313 |
| 8 January 2016 | 2.308 |
| 11 January 2016 | 2.303 |
| 12 January 2016 | 2.3 |
| 13 January 2016 | 2.3 |
| 14 January 2016 | 2.3 |
| 15 January 2016 | 2.303 |
| 18 January 2016 | 2.308 |
| 19 January 2016 | 2.316 |
| 20 January 2016 | 2.341 |
| 21 January 2016 | 2.405 |
| 22 January 2016 | 2.4 |
| 25 January 2016 | 2.376 |
| 26 January 2016 | 2.363 |
| 27 January 2016 | 2.359 |
| 28 January 2016 | 2.362 |
| 29 January 2016 | 2.33 |
| 1 February 2016 | 2.444 |
| 2 February 2016 | 2.455 |
| 3 February 2016 | 2.453 |
| 4 February 2016 | 2.455 |
| 5 February 2016 | 2.448 |
| 6 February 2016 | 2.353 |
| 14 February 2016 | 2.313 |
| 15 February 2016 | 2.3 |
| 16 February 2016 | 2.297 |
| 17 February 2016 | 2.297 |
| 18 February 2016 | 2.285 |
| 19 February 2016 | 2.286 |
| 22 February 2016 | 2.286 |
| 23 February 2016 | 2.283 |
| 24 February 2016 | 2.295 |
| 25 February 2016 | 2.321 |
| 26 February 2016 | 2.345 |
| 29 February 2016 | 2.335 |
| 1 March 2016 | 2.308 |
| 2 March 2016 | 2.3 |
| 3 March 2016 | 2.297 |
| 4 March 2016 | 2.295 |
| 7 March 2016 | 2.294 |
| 8 March 2016 | 2.293 |
| 9 March 2016 | 2.292 |
| 10 March 2016 | 2.28 |
| 11 March 2016 | 2.282 |
| 14 March 2016 | 2.281 |
| 15 March 2016 | 2.281 |
| 16 March 2016 | 2.282 |
| 17 March 2016 | 2.288 |
| 18 March 2016 | 2.295 |
| 21 March 2016 | 2.302 |
| 22 March 2016 | 2.305 |
| 23 March 2016 | 2.301 |
| 24 March 2016 | 2.297 |
| 25 March 2016 | 2.3 |
| 28 March 2016 | 2.301 |
| 29 March 2016 | 2.303 |
| 30 March 2016 | 2.312 |
| 31 March 2016 | 2.325 |
| 1 April 2016 | 2.32 |
| 5 April 2016 | 2.302 |
| 6 April 2016 | 2.294 |
| 7 April 2016 | 2.289 |
| 8 April 2016 | 2.287 |
| 11 April 2016 | 2.291 |
| 12 April 2016 | 2.295 |
| 13 April 2016 | 2.302 |
| 14 April 2016 | 2.304 |
| 15 April 2016 | 2.301 |
| 18 April 2016 | 2.302 |
| 19 April 2016 | 2.305 |
| 20 April 2016 | 2.322 |
| 21 April 2016 | 2.332 |
| 22 April 2016 | 2.334 |
| 25 April 2016 | 2.342 |
| 26 April 2016 | 2.341 |
| 27 April 2016 | 2.346 |
| 28 April 2016 | 2.368 |
| 29 April 2016 | 2.386 |
| 3 May 2016 | 2.34 |
| 4 May 2016 | 2.328 |
| 5 May 2016 | 2.329 |
| 6 May 2016 | 2.326 |
| 9 May 2016 | 2.323 |
| 10 May 2016 | 2.323 |
| 11 May 2016 | 2.324 |
| 12 May 2016 | 2.325 |
| 13 May 2016 | 2.324 |
| 16 May 2016 | 2.327 |
| 17 May 2016 | 2.331 |
| 18 May 2016 | 2.332 |
| 19 May 2016 | 2.331 |
| 20 May 2016 | 2.331 |
| 23 May 2016 | 2.33 |
| 24 May 2016 | 2.33 |
| 25 May 2016 | 2.331 |
| 26 May 2016 | 2.332 |
| 27 May 2016 | 2.333 |
| 30 May 2016 | 2.334 |
| 31 May 2016 | 2.338 |
| 1 June 2016 | 2.337 |
| 2 June 2016 | 2.342 |
| 3 June 2016 | 2.338 |
| 6 June 2016 | 2.337 |
| 7 June 2016 | 2.34 |
| 8 June 2016 | 2.341 |
| 12 June 2016 | 2.343 |
| 13 June 2016 | 2.342 |
| 14 June 2016 | 2.341 |
| 15 June 2016 | 2.341 |
| 16 June 2016 | 2.343 |
| 17 June 2016 | 2.346 |
| 20 June 2016 | 2.351 |
| 21 June 2016 | 2.354 |
| 22 June 2016 | 2.355 |
| 23 June 2016 | 2.358 |
| 24 June 2016 | 2.371 |
| 27 June 2016 | 2.375 |
| 28 June 2016 | 2.381 |
| 29 June 2016 | 2.386 |
| 30 June 2016 | 2.385 |
| 1 July 2016 | 2.365 |
| 4 July 2016 | 2.355 |
| 5 July 2016 | 2.344 |
| 6 July 2016 | 2.337 |
| 7 July 2016 | 2.33 |
| 8 July 2016 | 2.327 |
| 11 July 2016 | 2.323 |
| 12 July 2016 | 2.319 |
| 13 July 2016 | 2.313 |
| 14 July 2016 | 2.31 |
| 15 July 2016 | 2.308 |
| 18 July 2016 | 2.307 |
| 19 July 2016 | 2.308 |
| 20 July 2016 | 2.308 |
| 21 July 2016 | 2.311 |
| 22 July 2016 | 2.321 |
| 25 July 2016 | 2.332 |
| 26 July 2016 | 2.348 |
| 27 July 2016 | 2.36 |
| 28 July 2016 | 2.359 |
| 29 July 2016 | 2.348 |
| 1 August 2016 | 2.343 |
| 2 August 2016 | 2.338 |
| 3 August 2016 | 2.332 |
| 4 August 2016 | 2.324 |
| 5 August 2016 | 2.317 |
| 8 August 2016 | 2.316 |
| 9 August 2016 | 2.317 |
| 10 August 2016 | 2.325 |
| 11 August 2016 | 2.332 |
| 12 August 2016 | 2.336 |
| 15 August 2016 | 2.3411 |
| 16 August 2016 | 2.343 |
| 17 August 2016 | 2.345 |
| 18 August 2016 | 2.347 |
| 19 August 2016 | 2.347 |
| 22 August 2016 | 2.3467 |
| 23 August 2016 | 2.352 |
| 24 August 2016 | 2.362 |
| 25 August 2016 | 2.364 |
| 26 August 2016 | 2.362 |
| 29 August 2016 | 2.364 |
| 30 August 2016 | 2.366 |
| 31 August 2016 | 2.369 |
| 1 September 2016 | 2.368 |
| 2 September 2016 | 2.369 |
| 5 September 2016 | 2.369 |
| 6 September 2016 | 2.368 |
| 7 September 2016 | 2.368 |
| 8 September 2016 | 2.37 |
| 9 September 2016 | 2.3765 |
| 12 September 2016 | 2.378 |
| 13 September 2016 | 2.3855 |
| 14 September 2016 | 2.392 |
| 18 September 2016 | 2.394 |
| 19 September 2016 | 2.397 |
| 20 September 2016 | 2.4 |
| 21 September 2016 | 2.405 |
| 22 September 2016 | 2.408 |
| 23 September 2016 | 2.406 |
| 26 September 2016 | 2.439 |
| 27 September 2016 | 2.459 |
| 28 September 2016 | 2.476 |
| 29 September 2016 | 2.487 |
| 30 September 2016 | 2.477 |
| 8 October 2016 | 2.442 |
| 9 October 2016 | 2.425 |
| 10 October 2016 | 2.41 |
| 11 October 2016 | 2.394 |
| 12 October 2016 | 2.383 |
| 13 October 2016 | 2.378 |
| 14 October 2016 | 2.374 |
| 17 October 2016 | 2.375 |
| 18 October 2016 | 2.381 |
| 19 October 2016 | 2.39 |
| 20 October 2016 | 2.397 |
| 21 October 2016 | 2.401 |
| 24 October 2016 | 2.404 |
| 25 October 2016 | 2.404 |
| 26 October 2016 | 2.409 |
| 27 October 2016 | 2.411 |
| 28 October 2016 | 2.415 |
| 31 October 2016 | 2.418 |
| 1 November 2016 | 2.416 |
| 2 November 2016 | 2.414 |
| 3 November 2016 | 2.408 |
| 4 November 2016 | 2.405 |
| 7 November 2016 | 2.399 |
| 8 November 2016 | 2.392 |
| 9 November 2016 | 2.389 |
| 10 November 2016 | 2.393 |
| 11 November 2016 | 2.402 |
| 14 November 2016 | 2.407 |
| 15 November 2016 | 2.415 |
| 16 November 2016 | 2.428 |
| 17 November 2016 | 2.436 |
| 18 November 2016 | 2.444 |
| 21 November 2016 | 2.448 |
| 22 November 2016 | 2.45 |
| 23 November 2016 | 2.451 |
| 24 November 2016 | 2.452 |
| 25 November 2016 | 2.458 |
| 28 November 2016 | 2.466 |
| 29 November 2016 | 2.481 |
| 30 November 2016 | 2.496 |
| 1 December 2016 | 2.502 |
| 2 December 2016 | 2.501 |
| 5 December 2016 | 2.497 |
| 6 December 2016 | 2.493 |
| 7 December 2016 | 2.491 |
| 8 December 2016 | 2.4908 |
| 9 December 2016 | 2.4928 |
| 12 December 2016 | 2.494 |
| 13 December 2016 | 2.496 |
| 14 December 2016 | 2.499 |
| 15 December 2016 | 2.505 |
| 16 December 2016 | 2.519 |
| 19 December 2016 | 2.525 |
| 20 December 2016 | 2.5375 |
| 21 December 2016 | 2.544 |
| 22 December 2016 | 2.544 |
| 23 December 2016 | 2.543 |
| 26 December 2016 | 2.545 |
| 27 December 2016 | 2.547 |
| 28 December 2016 | 2.545 |
| 29 December 2016 | 2.544 |
| 30 December 2016 | 2.543 |
Full history and interactive chart
Complete series for China — on the SHIBOR 1-week page.