Gambian dalasi to Chinese yuan renminbi Converter

GMD
¥

Send money abroad

International money transfer can be expensive, to avoid excess fees you can use a low-cost money transfer service. Our partners are cheaper than traditional banking and offer a large selection of currencies.

Book a hotel

Compare prices, browse hotel reviews, pick the perfect accommodation for your holidays and book online at the best price. Book a hotel room, an apartment, a villa or a B&B with our partner.

Is it the right time to change your currencies?

The best day to change Gambian dalasi in Chinese yuan renminbi was the Thursday, 4 February 2016. At that time the currency had reached its highest value.

1000 Gambian dalasi = 150.92 Chinese yuan renminbi

The worst day to change Gambian dalasi in Chinese yuan renminbi was the Tuesday, 5 April 2016. The exchange rate had fallen to its lowest value.

1000 Gambian dalasi = 150.92 Chinese yuan renminbi

Graphic Gambian dalasi / Chinese yuan renminbi

Gambian dalasi to Chinese yuan renminbi conversion table

10 gambian dalasi = 1.66 ¥
20 gambian dalasi = 3.32 ¥
30 gambian dalasi = 4.98 ¥
40 gambian dalasi = 6.64 ¥
50 gambian dalasi = 8.30 ¥
60 gambian dalasi = 9.97 ¥
70 gambian dalasi = 11.63 ¥
80 gambian dalasi = 13.29 ¥
90 gambian dalasi = 14.95 ¥
100 gambian dalasi = 16.61 ¥
150 gambian dalasi = 24.91 ¥
200 gambian dalasi = 33.22 ¥
250 gambian dalasi = 41.52 ¥
300 gambian dalasi = 49.83 ¥
400 gambian dalasi = 66.44 ¥
500 gambian dalasi = 83.05 ¥
600 gambian dalasi = 99.65 ¥
700 gambian dalasi = 116.26 ¥
800 gambian dalasi = 132.87 ¥
900 gambian dalasi = 149.48 ¥
1 000 gambian dalasi = 166.09 ¥

currency of The Gambia

currency of People's Republic of China

Converter Gambian dalasi / Chinese yuan renminbi

2016-12-04 ► 1 GMD = 0.16609 CNY ► Converter Gambian dalasi Chinese yuan renminbi . Free online currency conversion based on exchange rates. Currency converter

How to use the converter?

The Gambian dalasi and Chinese yuan renminbi parity obtained here was updated on the 2016-12-04

1 GMD = 0.16609 CNY

You can change the currencies in the form.

Historical Gambian dalasi / Chinese yuan renminbi

History of daily rates GMD /CNY since Wednesday, 31 May 2000.

The maximum was reached on Wednesday, 14 June 2000

  • 1 Gambian dalasi = 0.65649587760025 Chinese yuan renminbi

the minimum on Thursday, 6 November 2014

  • 1 Gambian dalasi = 0.14047381865334 Chinese yuan renminbi
date  
2016-12-04 0.16609
2016-12-03 0.16609
2016-12-02 0.16609
2016-12-01 0.15879
2016-11-30 0.16553
2016-11-29 0.16516
2016-11-28 0.15964
2016-11-27 0.16454
2016-11-26 0.16079
2016-11-25 0.16443
2016-11-24 0.16431
2016-11-23 0.16420
2016-11-22 0.16176
2016-11-21 0.16084
2016-11-20 0.16076
2016-11-19 0.16076
2016-11-18 0.16076
2016-11-17 0.15865
2016-11-16 0.16469
2016-11-15 0.15839
2016-11-14 0.16077
2016-11-13 0.15892
2016-11-12 0.15893
2016-11-11 0.15893
2016-11-10 0.15875
2016-11-09 0.15687
2016-11-08 0.15853
2016-11-07 0.15871
2016-11-06 0.15678
2016-11-05 0.15672
2016-11-04 0.15672
2016-11-03 0.15619
2016-11-02 0.15584
2016-11-01 0.15609
2016-10-31 0.15649
2016-10-30 0.15814
2016-10-29 0.15815
2016-10-28 0.15815
2016-10-27 0.15638
2016-10-26 0.15710
2016-10-25 0.15635
2016-10-24 0.15803
2016-10-23 0.15609
2016-10-22 0.15618
2016-10-21 0.15618
2016-10-20 0.15583
2016-10-19 0.15578
2016-10-18 0.15551
2016-10-17 0.15542
2016-10-16 0.15542
2016-10-15 0.15537
2016-10-14 0.15537
2016-10-13 0.15699
2016-10-12 0.15683
2016-10-11 0.15533
2016-10-10 0.15502
2016-10-09 0.15494
2016-10-08 0.15493
2016-10-07 0.15493
2016-10-06 0.15402
2016-10-05 0.15393
2016-10-04 0.15424
2016-10-03 0.15424
2016-10-02 0.15524
2016-10-01 0.15521
2016-09-30 0.15521
2016-09-29 0.15395
2016-09-28 0.15437
2016-09-27 0.15442
2016-09-26 0.15389
2016-09-25 0.15410
2016-09-24 0.15411
2016-09-23 0.15411
2016-09-22 0.15386
2016-09-21 0.15410
2016-09-20 0.15563
2016-09-19 0.15492
2016-09-18 0.15567
2016-09-17 0.15570
2016-09-16 0.15570
2016-09-15 0.15448
2016-09-14 0.15391
2016-09-13 0.15431
2016-09-12 0.15596
2016-09-11 0.15424
2016-09-10 0.15386
2016-09-09 0.15386
2016-09-08 0.15378
2016-09-07 0.15410
2016-09-06 0.15381
2016-09-05 0.15407
2016-09-04 0.15418
2016-09-03 0.15421
2016-09-02 0.15421
2016-09-01 0.15392
2016-08-31 0.15415
2016-08-30 0.15411
2016-08-29 0.15499
2016-08-28 0.15563
2016-08-27 0.15566
2016-08-26 0.15566
2016-08-25 0.15355
2016-08-24 0.15356
2016-08-23 0.15311
2016-08-22 0.15378
2016-08-21 0.15524
2016-08-20 0.15525
2016-08-19 0.15525
2016-08-18 0.15295
2016-08-17 0.15365
2016-08-16 0.15282
2016-08-15 0.15952
2016-08-14 0.15936
2016-08-13 0.15946
2016-08-12 0.15946
2016-08-11 0.15938
2016-08-10 0.15301
2016-08-09 0.15437
2016-08-08 0.15412
2016-08-07 0.15542
2016-08-06 0.15529
2016-08-05 0.15529
2016-08-04 0.15503
2016-08-03 0.15482
2016-08-02 0.15282
2016-08-01 0.15319
2016-07-31 0.15286
2016-07-30 0.15313
2016-07-29 0.15313
2016-07-28 0.15349
2016-07-27 0.15402
2016-07-26 0.15426
2016-07-25 0.15416
2016-07-24 0.15423
2016-07-23 0.15428
2016-07-22 0.15428
2016-07-21 0.15428
2016-07-20 0.15433
2016-07-19 0.15640
2016-07-18 0.15677
2016-07-17 0.15614
2016-07-16 0.15661
2016-07-15 0.15673
2016-07-14 0.15653
2016-07-13 0.15593
2016-07-12 0.15557
2016-07-11 0.15560
2016-07-10 0.15593
2016-07-09 0.15609
2016-07-08 0.15609
2016-07-07 0.15542
2016-07-06 0.15703
2016-07-05 0.15545
2016-07-04 0.15496
2016-07-03 0.15443
2016-07-02 0.15443
2016-07-01 0.15443
2016-06-30 0.15422
2016-06-29 0.15485
2016-06-28 0.15604
2016-06-27 0.15524
2016-06-26 0.15382
2016-06-25 0.15275
2016-06-24 0.15275
2016-06-23 0.15354
2016-06-22 0.15321
2016-06-21 0.15584
2016-06-20 0.15450
2016-06-19 0.15466
2016-06-18 0.15474
2016-06-17 0.15470
2016-06-16 0.15475
2016-06-15 0.15448
2016-06-14 0.15383
2016-06-13 0.15384
2016-06-12 0.15362
2016-06-11 0.15361
2016-06-10 0.15433
2016-06-09 0.15392
2016-06-08 0.15473
2016-06-07 0.15373
2016-06-06 0.15377
2016-06-05 0.15456
2016-06-04 0.15424
2016-06-03 0.15433
2016-06-02 0.15403
2016-06-01 0.15520
2016-05-31 0.15418
2016-05-30 0.15417
2016-05-29 0.15330
2016-05-28 0.15329
2016-05-27 0.15323
2016-05-26 0.15309
2016-05-25 0.15353
2016-05-24 0.15297
2016-05-23 0.15300
2016-05-22 0.15275
2016-05-21 0.15284
2016-05-20 0.15327
2016-05-19 0.15275
2016-05-18 0.15237
2016-05-17 0.15330
2016-05-16 0.15289
2016-05-15 0.15268
2016-05-14 0.15270
2016-05-13 0.15250
2016-05-12 0.15250
2016-05-11 0.15198
2016-05-10 0.15186
2016-05-09 0.15190
2016-05-08 0.15153
2016-05-07 0.15168
2016-05-06 0.15298
2016-05-05 0.15335
2016-05-04 0.15209
2016-05-03 0.15121
2016-05-02 0.15156
2016-05-01 0.15162
2016-04-30 0.15161
2016-04-29 0.15317
2016-04-28 0.15233
2016-04-27 0.15265
2016-04-26 0.15208
2016-04-25 0.15293
2016-04-24 0.15327
2016-04-23 0.15349
2016-04-22 0.15217
2016-04-21 0.15294
2016-04-20 0.15279
2016-04-19 0.15258
2016-04-18 0.15225
2016-04-17 0.15228
2016-04-16 0.15190
2016-04-15 0.15150
2016-04-14 0.15226
2016-04-13 0.15226
2016-04-12 0.15130
2016-04-11 0.15164
2016-04-10 0.15177
2016-04-09 0.15177
2016-04-08 0.15208
2016-04-07 0.15224
2016-04-06 0.15214
2016-04-05 0.15092
2016-04-04 0.15150
2016-04-03 0.15155
2016-04-02 0.15150
2016-04-01 0.15145
2016-03-31 0.15166
2016-03-30 0.15173
2016-03-29 0.15271
2016-03-28 0.15604
2016-03-27 0.15185
2016-03-26 0.15186
2016-03-25 0.15180
2016-03-24 0.15587
2016-03-23 0.15913
2016-03-22 0.16118
2016-03-21 0.16221
2016-03-20 0.16221
2016-03-19 0.16200
2016-03-18 0.16546
2016-03-17 0.16432
2016-03-16 0.16496
2016-03-15 0.16430
2016-03-14 0.16522
2016-03-13 0.16486
2016-03-12 0.16519
2016-03-11 0.16410
2016-03-10 0.16456
2016-03-09 0.16461
2016-03-08 0.16515
2016-03-07 0.16487
2016-03-06 0.16485
2016-03-05 0.16485
2016-03-04 0.16529
2016-03-03 0.16550
2016-03-02 0.16664
2016-03-01 0.16606
2016-02-29 0.16561
2016-02-28 0.16537
2016-02-27 0.16544
2016-02-26 0.16502
2016-02-25 0.16499
2016-02-24 0.16590
2016-02-23 0.16523
2016-02-22 0.16518
2016-02-21 0.16498
2016-02-20 0.16499
2016-02-19 0.16465
2016-02-18 0.16522
2016-02-17 0.16475
2016-02-16 0.16497
2016-02-15 0.16675
2016-02-14 0.16653
2016-02-13 0.16655
2016-02-12 0.16618
2016-02-11 0.16645
2016-02-10 0.16640
2016-02-09 0.16702
2016-02-08 0.16727
2016-02-07 0.16727
2016-02-06 0.16728
2016-02-05 0.16582
2016-02-04 0.16752
2016-02-03 0.16711
2016-02-02 0.16670
2016-02-01 0.16618
2016-01-31 0.16605
2016-01-30 0.16621
2016-01-29 0.16653
2016-01-28 0.16700
2016-01-27 0.16720
2016-01-26 0.16625
2016-01-25 0.16702
2016-01-24 0.16716
2016-01-23 0.16716
2016-01-22 0.16652
2016-01-21 0.16646
2016-01-20 0.16609
2016-01-19 0.16611
2016-01-18 0.16631
2016-01-17 0.16639
2016-01-16 0.16637
2016-01-15 0.16695
2016-01-14 0.16723
2016-01-13 0.16603
2016-01-12 0.16664
2016-01-11 0.16658
2016-01-10 0.16686
2016-01-09 0.16682
2016-01-08 0.16675
2016-01-07 0.16532
2016-01-06 0.16512
2016-01-05 0.16488
2016-01-04 0.16454
2016-01-03 0.16450
2016-01-02 0.16450
2016-01-01 0.16441
2015-12-31 0.16422
2015-12-30 0.16518
2015-12-29 0.16375
2015-12-28 0.16391
2015-12-27 0.16387
2015-12-26 0.16417
2015-12-25 0.16442
2015-12-24 0.16426
2015-12-23 0.16473
2015-12-22 0.16436
2015-12-21 0.16515
2015-12-20 0.16515
2015-12-19 0.16474
2015-12-18 0.16315
2015-12-17 0.16451
2015-12-16 0.16409
2015-12-15 0.16342
2015-12-14 0.16243
2015-12-13 0.16284
2015-12-12 0.16281
2015-12-11 0.16361
2015-12-10 0.16251
2015-12-09 0.16268
2015-12-08 0.16242
2015-12-07 0.16179
2015-12-06 0.16182