Gambian dalasi to Malaysian ringgit Converter

GMD
RM

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 Malaysian ringgit was the Thursday, 14 January 2016. At that time the currency had reached its highest value.

1000 Gambian dalasi = 90.64 Malaysian ringgit

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

1000 Gambian dalasi = 90.64 Malaysian ringgit

Graphic Gambian dalasi / Malaysian ringgit

Gambian dalasi to Malaysian ringgit conversion table

10 gambian dalasi = 1.09 RM
20 gambian dalasi = 2.18 RM
30 gambian dalasi = 3.27 RM
40 gambian dalasi = 4.36 RM
50 gambian dalasi = 5.46 RM
60 gambian dalasi = 6.55 RM
70 gambian dalasi = 7.64 RM
80 gambian dalasi = 8.73 RM
90 gambian dalasi = 9.82 RM
100 gambian dalasi = 10.91 RM
150 gambian dalasi = 16.37 RM
200 gambian dalasi = 21.82 RM
250 gambian dalasi = 27.28 RM
300 gambian dalasi = 32.73 RM
400 gambian dalasi = 43.64 RM
500 gambian dalasi = 54.56 RM
600 gambian dalasi = 65.47 RM
700 gambian dalasi = 76.38 RM
800 gambian dalasi = 87.29 RM
900 gambian dalasi = 98.20 RM
1 000 gambian dalasi = 109.11 RM

currency of The Gambia

currency of Malaysia

Converter Gambian dalasi / Malaysian ringgit

2016-12-07 ► 1 GMD = 0.10893 MYR ► Converter Gambian dalasi Malaysian ringgit . Free online currency conversion based on exchange rates. Currency converter

How to use the converter?

The Gambian dalasi and Malaysian ringgit parity obtained here was updated on the 2016-12-07

1 GMD = 0.10893 MYR

You can change the currencies in the form.

Historical Gambian dalasi / Malaysian ringgit

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

The maximum was reached on Wednesday, 14 June 2000

  • 1 Gambian dalasi = 0.3015126480842 Malaysian ringgit

the minimum on Tuesday, 28 October 2014

  • 1 Gambian dalasi = 0.075877098755767 Malaysian ringgit
date  
2016-12-07 0.10893
2016-12-06 0.10633
2016-12-05 0.10845
2016-12-04 0.10619
2016-12-03 0.10736
2016-12-02 0.10736
2016-12-01 0.10297
2016-11-30 0.10746
2016-11-29 0.10700
2016-11-28 0.10306
2016-11-27 0.10595
2016-11-26 0.10361
2016-11-25 0.10596
2016-11-24 0.10595
2016-11-23 0.10545
2016-11-22 0.10382
2016-11-21 0.10298
2016-11-20 0.10309
2016-11-19 0.10317
2016-11-18 0.10317
2016-11-17 0.10180
2016-11-16 0.10413
2016-11-15 0.10029
2016-11-14 0.10184
2016-11-13 0.10006
2016-11-12 0.10006
2016-11-11 0.10006
2016-11-10 0.10112
2016-11-09 0.09798
2016-11-08 0.09755
2016-11-07 0.09858
2016-11-06 0.09744
2016-11-05 0.09739
2016-11-04 0.09739
2016-11-03 0.09672
2016-11-02 0.09660
2016-11-01 0.09676
2016-10-31 0.09685
2016-10-30 0.09801
2016-10-29 0.09800
2016-10-28 0.09800
2016-10-27 0.09671
2016-10-26 0.09655
2016-10-25 0.09590
2016-10-24 0.09749
2016-10-23 0.09664
2016-10-22 0.09664
2016-10-21 0.09664
2016-10-20 0.09673
2016-10-19 0.09614
2016-10-18 0.09694
2016-10-17 0.09740
2016-10-16 0.09703
2016-10-15 0.09703
2016-10-14 0.09703
2016-10-13 0.09833
2016-10-12 0.09789
2016-10-11 0.09697
2016-10-10 0.09612
2016-10-09 0.09655
2016-10-08 0.09655
2016-10-07 0.09655
2016-10-06 0.09567
2016-10-05 0.09548
2016-10-04 0.09595
2016-10-03 0.09524
2016-10-02 0.09629
2016-10-01 0.09629
2016-09-30 0.09629
2016-09-29 0.09521
2016-09-28 0.09527
2016-09-27 0.09566
2016-09-26 0.09527
2016-09-25 0.09506
2016-09-24 0.09506
2016-09-23 0.09506
2016-09-22 0.09493
2016-09-21 0.09528
2016-09-20 0.09651
2016-09-19 0.09611
2016-09-18 0.09691
2016-09-17 0.09688
2016-09-16 0.09688
2016-09-15 0.09582
2016-09-14 0.09512
2016-09-13 0.09569
2016-09-12 0.09551
2016-09-11 0.09424
2016-09-10 0.09463
2016-09-09 0.09463
2016-09-08 0.09400
2016-09-07 0.09396
2016-09-06 0.09371
2016-09-05 0.09397
2016-09-04 0.09329
2016-09-03 0.09424
2016-09-02 0.09424
2016-09-01 0.09420
2016-08-31 0.09396
2016-08-30 0.09349
2016-08-29 0.09391
2016-08-28 0.09411
2016-08-27 0.09394
2016-08-26 0.09394
2016-08-25 0.09255
2016-08-24 0.09302
2016-08-23 0.09279
2016-08-22 0.09305
2016-08-21 0.09365
2016-08-20 0.09365
2016-08-19 0.09365
2016-08-18 0.09220
2016-08-17 0.09281
2016-08-16 0.09194
2016-08-15 0.09593
2016-08-14 0.09693
2016-08-13 0.09693
2016-08-12 0.09693
2016-08-11 0.09579
2016-08-10 0.09234
2016-08-09 0.09351
2016-08-08 0.09339
2016-08-07 0.09413
2016-08-06 0.09413
2016-08-05 0.09413
2016-08-04 0.09418
2016-08-03 0.09470
2016-08-02 0.09352
2016-08-01 0.09279
2016-07-31 0.09348
2016-07-30 0.09298
2016-07-29 0.09298
2016-07-28 0.09340
2016-07-27 0.09412
2016-07-26 0.09393
2016-07-25 0.09430
2016-07-24 0.09389
2016-07-23 0.09389
2016-07-22 0.09389
2016-07-21 0.09380
2016-07-20 0.09301
2016-07-19 0.09356
2016-07-18 0.09289
2016-07-17 0.09233
2016-07-16 0.09259
2016-07-15 0.09258
2016-07-14 0.09237
2016-07-13 0.09244
2016-07-12 0.09242
2016-07-11 0.09291
2016-07-10 0.09398
2016-07-09 0.09396
2016-07-08 0.09395
2016-07-07 0.09367
2016-07-06 0.09478
2016-07-05 0.09365
2016-07-04 0.09284
2016-07-03 0.09313
2016-07-02 0.09310
2016-07-01 0.09310
2016-06-30 0.09251
2016-06-29 0.09346
2016-06-28 0.09516
2016-06-27 0.09607
2016-06-26 0.09590
2016-06-25 0.09564
2016-06-24 0.09564
2016-06-23 0.09301
2016-06-22 0.09399
2016-06-21 0.09566
2016-06-20 0.09562
2016-06-19 0.09623
2016-06-18 0.09615
2016-06-17 0.09614
2016-06-16 0.09633
2016-06-15 0.09602
2016-06-14 0.09554
2016-06-13 0.09524
2016-06-12 0.09512
2016-06-11 0.09512
2016-06-10 0.09502
2016-06-09 0.09471
2016-06-08 0.09578
2016-06-07 0.09564
2016-06-06 0.09647
2016-06-05 0.09701
2016-06-04 0.09690
2016-06-03 0.09741
2016-06-02 0.09696
2016-06-01 0.09706
2016-05-31 0.09624
2016-05-30 0.09574
2016-05-29 0.09528
2016-05-28 0.09528
2016-05-27 0.09518
2016-05-26 0.09572
2016-05-25 0.09629
2016-05-24 0.09530
2016-05-23 0.09531
2016-05-22 0.09514
2016-05-21 0.09520
2016-05-20 0.09560
2016-05-19 0.09453
2016-05-18 0.09386
2016-05-17 0.09472
2016-05-16 0.09449
2016-05-15 0.09436
2016-05-14 0.09439
2016-05-13 0.09417
2016-05-12 0.09470
2016-05-11 0.09449
2016-05-10 0.09381
2016-05-09 0.09364
2016-05-08 0.09344
2016-05-07 0.09351
2016-05-06 0.09408
2016-05-05 0.09441
2016-05-04 0.09262
2016-05-03 0.09142
2016-05-02 0.09134
2016-05-01 0.09134
2016-04-30 0.09134
2016-04-29 0.09209
2016-04-28 0.09184
2016-04-27 0.09225
2016-04-26 0.09150
2016-04-25 0.09194
2016-04-24 0.09213
2016-04-23 0.09226
2016-04-22 0.09138
2016-04-21 0.09141
2016-04-20 0.09141
2016-04-19 0.09241
2016-04-18 0.09169
2016-04-17 0.09170
2016-04-16 0.09148
2016-04-15 0.09099
2016-04-14 0.09125
2016-04-13 0.09122
2016-04-12 0.09099
2016-04-11 0.09188
2016-04-10 0.09194
2016-04-09 0.09194
2016-04-08 0.09213
2016-04-07 0.09202
2016-04-06 0.09229
2016-04-05 0.09064
2016-04-04 0.09110
2016-04-03 0.09112
2016-04-02 0.09111
2016-04-01 0.09122
2016-03-31 0.09225
2016-03-30 0.09313
2016-03-29 0.09442
2016-03-28 0.09660
2016-03-27 0.09399
2016-03-26 0.09400
2016-03-25 0.09383
2016-03-24 0.09584
2016-03-23 0.09845
2016-03-22 0.10101
2016-03-21 0.10161
2016-03-20 0.10161
2016-03-19 0.10147
2016-03-18 0.10356
2016-03-17 0.10461
2016-03-16 0.10484
2016-03-15 0.10395
2016-03-14 0.10407
2016-03-13 0.10378
2016-03-12 0.10401
2016-03-11 0.10355
2016-03-10 0.10410
2016-03-09 0.10403
2016-03-08 0.10349
2016-03-07 0.10389
2016-03-06 0.10388
2016-03-05 0.10388
2016-03-04 0.10435
2016-03-03 0.10501
2016-03-02 0.10601
2016-03-01 0.10663
2016-02-29 0.10647
2016-02-28 0.10648
2016-02-27 0.10651
2016-02-26 0.10637
2016-02-25 0.10679
2016-02-24 0.10715
2016-02-23 0.10639
2016-02-22 0.10674
2016-02-21 0.10668
2016-02-20 0.10669
2016-02-19 0.10537
2016-02-18 0.10638
2016-02-17 0.10544
2016-02-16 0.10460
2016-02-15 0.10532
2016-02-14 0.10528
2016-02-13 0.10528
2016-02-12 0.10457
2016-02-11 0.10492
2016-02-10 0.10544
2016-02-09 0.10597
2016-02-08 0.10558
2016-02-07 0.10557
2016-02-06 0.10557
2016-02-05 0.10412
2016-02-04 0.10729
2016-02-03 0.10693
2016-02-02 0.10538
2016-02-01 0.10464
2016-01-31 0.10464
2016-01-30 0.10480
2016-01-29 0.10645
2016-01-28 0.10800
2016-01-27 0.10861
2016-01-26 0.10831
2016-01-25 0.10911
2016-01-24 0.10931
2016-01-23 0.10931
2016-01-22 0.11071
2016-01-21 0.11091
2016-01-20 0.11059
2016-01-19 0.11101
2016-01-18 0.11136
2016-01-17 0.11137
2016-01-16 0.11136
2016-01-15 0.11119
2016-01-14 0.11165
2016-01-13 0.11121
2016-01-12 0.11149
2016-01-11 0.11123
2016-01-10 0.11118
2016-01-09 0.11123
2016-01-08 0.11118
2016-01-07 0.11110
2016-01-06 0.11005
2016-01-05 0.10958
2016-01-04 0.10900
2016-01-03 0.10901
2016-01-02 0.10901
2016-01-01 0.10902
2015-12-31 0.10864
2015-12-30 0.10927
2015-12-29 0.10858
2015-12-28 0.10863
2015-12-27 0.10857
2015-12-26 0.10880
2015-12-25 0.10896
2015-12-24 0.10918
2015-12-23 0.10932
2015-12-22 0.10896
2015-12-21 0.10948
2015-12-20 0.10948
2015-12-19 0.10922
2015-12-18 0.10876
2015-12-17 0.10945
2015-12-16 0.10955
2015-12-15 0.10997
2015-12-14 0.10854
2015-12-13 0.10870
2015-12-12 0.10868
2015-12-11 0.10835
2015-12-10 0.10800
2015-12-09 0.10834