Gambian dalasi to Peruvian nuevo sol Converter

GMD
S/.

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 Peruvian nuevo sol was the Wednesday, 2 March 2016. At that time the currency had reached its highest value.

1000 Gambian dalasi = 76.22 Peruvian nuevo sol

The worst day to change Gambian dalasi in Peruvian nuevo sol was the Tuesday, 12 July 2016. The exchange rate had fallen to its lowest value.

1000 Gambian dalasi = 76.22 Peruvian nuevo sol

Graphic Gambian dalasi / Peruvian nuevo sol

Gambian dalasi to Peruvian nuevo sol conversion table

10 gambian dalasi = 0.82 S/.
20 gambian dalasi = 1.63 S/.
30 gambian dalasi = 2.45 S/.
40 gambian dalasi = 3.27 S/.
50 gambian dalasi = 4.08 S/.
60 gambian dalasi = 4.90 S/.
70 gambian dalasi = 5.72 S/.
80 gambian dalasi = 6.53 S/.
90 gambian dalasi = 7.35 S/.
100 gambian dalasi = 8.17 S/.
150 gambian dalasi = 12.25 S/.
200 gambian dalasi = 16.34 S/.
250 gambian dalasi = 20.42 S/.
300 gambian dalasi = 24.50 S/.
400 gambian dalasi = 32.67 S/.
500 gambian dalasi = 40.84 S/.
600 gambian dalasi = 49.01 S/.
700 gambian dalasi = 57.18 S/.
800 gambian dalasi = 65.34 S/.
900 gambian dalasi = 73.51 S/.
1 000 gambian dalasi = 81.68 S/.

currency of The Gambia

currency of Peru

Converter Gambian dalasi / Peruvian nuevo sol

2016-12-05 ► 1 GMD = 0.08312 PEN ► Converter Gambian dalasi Peruvian nuevo sol . Free online currency conversion based on exchange rates. Currency converter

How to use the converter?

The Gambian dalasi and Peruvian nuevo sol parity obtained here was updated on the 2016-12-05

1 GMD = 0.08312 PEN

You can change the currencies in the form.

Historical Gambian dalasi / Peruvian nuevo sol

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

The maximum was reached on Saturday, 16 September 2000

  • 1 Gambian dalasi = 0.41107018655885 Peruvian nuevo sol

the minimum on Sunday, 26 October 2014

  • 1 Gambian dalasi = 0.067304354181513 Peruvian nuevo sol
date  
2016-12-05 0.08312
2016-12-04 0.08165
2016-12-03 0.08253
2016-12-02 0.08253
2016-12-01 0.07870
2016-11-30 0.08205
2016-11-29 0.08189
2016-11-28 0.07894
2016-11-27 0.08115
2016-11-26 0.07950
2016-11-25 0.08114
2016-11-24 0.08142
2016-11-23 0.08141
2016-11-22 0.08010
2016-11-21 0.07941
2016-11-20 0.07938
2016-11-19 0.07938
2016-11-18 0.07938
2016-11-17 0.07850
2016-11-16 0.08176
2016-11-15 0.07901
2016-11-14 0.07989
2016-11-13 0.07916
2016-11-12 0.07916
2016-11-11 0.07916
2016-11-10 0.07862
2016-11-09 0.07822
2016-11-08 0.07878
2016-11-07 0.07924
2016-11-06 0.07844
2016-11-05 0.07844
2016-11-04 0.07844
2016-11-03 0.07821
2016-11-02 0.07764
2016-11-01 0.07765
2016-10-31 0.07771
2016-10-30 0.07857
2016-10-29 0.07857
2016-10-28 0.07857
2016-10-27 0.07751
2016-10-26 0.07778
2016-10-25 0.07759
2016-10-24 0.07840
2016-10-23 0.07797
2016-10-22 0.07797
2016-10-21 0.07797
2016-10-20 0.07816
2016-10-19 0.07824
2016-10-18 0.07839
2016-10-17 0.07848
2016-10-16 0.07861
2016-10-15 0.07862
2016-10-14 0.07862
2016-10-13 0.07942
2016-10-12 0.07946
2016-10-11 0.07850
2016-10-10 0.07867
2016-10-09 0.07921
2016-10-08 0.07921
2016-10-07 0.07921
2016-10-06 0.07857
2016-10-05 0.07829
2016-10-04 0.07829
2016-10-03 0.07823
2016-10-02 0.07888
2016-10-01 0.07889
2016-09-30 0.07889
2016-09-29 0.07767
2016-09-28 0.07780
2016-09-27 0.07797
2016-09-26 0.07748
2016-09-25 0.07712
2016-09-24 0.07712
2016-09-23 0.07712
2016-09-22 0.07776
2016-09-21 0.07836
2016-09-20 0.07906
2016-09-19 0.07883
2016-09-18 0.07902
2016-09-17 0.07902
2016-09-16 0.07902
2016-09-15 0.07854
2016-09-14 0.07843
2016-09-13 0.07878
2016-09-12 0.07936
2016-09-11 0.07746
2016-09-10 0.07747
2016-09-09 0.07747
2016-09-08 0.07742
2016-09-07 0.07781
2016-09-06 0.07842
2016-09-05 0.07707
2016-09-04 0.07706
2016-09-03 0.07837
2016-09-02 0.07837
2016-09-01 0.07810
2016-08-31 0.07826
2016-08-30 0.07787
2016-08-29 0.07781
2016-08-28 0.07796
2016-08-27 0.07796
2016-08-26 0.07796
2016-08-25 0.07718
2016-08-24 0.07755
2016-08-23 0.07718
2016-08-22 0.07704
2016-08-21 0.07690
2016-08-20 0.07688
2016-08-19 0.07688
2016-08-18 0.07623
2016-08-17 0.07663
2016-08-16 0.07636
2016-08-15 0.07953
2016-08-14 0.07921
2016-08-13 0.07920
2016-08-12 0.07920
2016-08-11 0.07952
2016-08-10 0.07634
2016-08-09 0.07710
2016-08-08 0.07702
2016-08-07 0.07760
2016-08-06 0.07759
2016-08-05 0.07759
2016-08-04 0.07804
2016-08-03 0.07822
2016-08-02 0.07706
2016-08-01 0.07730
2016-07-31 0.07767
2016-07-30 0.07768
2016-07-29 0.07768
2016-07-28 0.07712
2016-07-27 0.07737
2016-07-26 0.07786
2016-07-25 0.07671
2016-07-24 0.07692
2016-07-23 0.07691
2016-07-22 0.07691
2016-07-21 0.07677
2016-07-20 0.07628
2016-07-19 0.07694
2016-07-18 0.07684
2016-07-17 0.07690
2016-07-16 0.07677
2016-07-15 0.07682
2016-07-14 0.07679
2016-07-13 0.07648
2016-07-12 0.07622
2016-07-11 0.07623
2016-07-10 0.07641
2016-07-09 0.07648
2016-07-08 0.07647
2016-07-07 0.07626
2016-07-06 0.07709
2016-07-05 0.07654
2016-07-04 0.07654
2016-07-03 0.07624
2016-07-02 0.07623
2016-07-01 0.07623
2016-06-30 0.07632
2016-06-29 0.07674
2016-06-28 0.07748
2016-06-27 0.07753
2016-06-26 0.07763
2016-06-25 0.07729
2016-06-24 0.07729
2016-06-23 0.07667
2016-06-22 0.07656
2016-06-21 0.07791
2016-06-20 0.07772
2016-06-19 0.07813
2016-06-18 0.07789
2016-06-17 0.07795
2016-06-16 0.07809
2016-06-15 0.07802
2016-06-14 0.07763
2016-06-13 0.07763
2016-06-12 0.07753
2016-06-11 0.07753
2016-06-10 0.07760
2016-06-09 0.07735
2016-06-08 0.07779
2016-06-07 0.07791
2016-06-06 0.07863
2016-06-05 0.07909
2016-06-04 0.07897
2016-06-03 0.07894
2016-06-02 0.07893
2016-06-01 0.07927
2016-05-31 0.07854
2016-05-30 0.07849
2016-05-29 0.07811
2016-05-28 0.07811
2016-05-27 0.07801
2016-05-26 0.07797
2016-05-25 0.07825
2016-05-24 0.07795
2016-05-23 0.07791
2016-05-22 0.07778
2016-05-21 0.07782
2016-05-20 0.07799
2016-05-19 0.07758
2016-05-18 0.07760
2016-05-17 0.07826
2016-05-16 0.07797
2016-05-15 0.07790
2016-05-14 0.07791
2016-05-13 0.07789
2016-05-12 0.07812
2016-05-11 0.07768
2016-05-10 0.07742
2016-05-09 0.07748
2016-05-08 0.07732
2016-05-07 0.07739
2016-05-06 0.07831
2016-05-05 0.07842
2016-05-04 0.07750
2016-05-03 0.07673
2016-05-02 0.07666
2016-05-01 0.07668
2016-04-30 0.07668
2016-04-29 0.07739
2016-04-28 0.07699
2016-04-27 0.07706
2016-04-26 0.07666
2016-04-25 0.07667
2016-04-24 0.07687
2016-04-23 0.07698
2016-04-22 0.07631
2016-04-21 0.07667
2016-04-20 0.07717
2016-04-19 0.07707
2016-04-18 0.07682
2016-04-17 0.07683
2016-04-16 0.07667
2016-04-15 0.07642
2016-04-14 0.07655
2016-04-13 0.07660
2016-04-12 0.07865
2016-04-11 0.07934
2016-04-10 0.07946
2016-04-09 0.07946
2016-04-08 0.07958
2016-04-07 0.07921
2016-04-06 0.07877
2016-04-05 0.07781
2016-04-04 0.07782
2016-04-03 0.07792
2016-04-02 0.07782
2016-04-01 0.07846
2016-03-31 0.07862
2016-03-30 0.07855
2016-03-29 0.07928
2016-03-28 0.08100
2016-03-27 0.07883
2016-03-26 0.07883
2016-03-25 0.07882
2016-03-24 0.08165
2016-03-23 0.08345
2016-03-22 0.08407
2016-03-21 0.08435
2016-03-20 0.08435
2016-03-19 0.08426
2016-03-18 0.08552
2016-03-17 0.08490
2016-03-16 0.08484
2016-03-15 0.08499
2016-03-14 0.08667
2016-03-13 0.08636
2016-03-12 0.08659
2016-03-11 0.08672
2016-03-10 0.08732
2016-03-09 0.08735
2016-03-08 0.08745
2016-03-07 0.08740
2016-03-06 0.08739
2016-03-05 0.08738
2016-03-04 0.08809
2016-03-03 0.08866
2016-03-02 0.08957
2016-03-01 0.08930
2016-02-29 0.08927
2016-02-28 0.08928
2016-02-27 0.08926
2016-02-26 0.08919
2016-02-25 0.08915
2016-02-24 0.08948
2016-02-23 0.08915
2016-02-22 0.08875
2016-02-21 0.08863
2016-02-20 0.08863
2016-02-19 0.08854
2016-02-18 0.08876
2016-02-17 0.08867
2016-02-16 0.08859
2016-02-15 0.08885
2016-02-14 0.08883
2016-02-13 0.08883
2016-02-12 0.08842
2016-02-11 0.08866
2016-02-10 0.08852
2016-02-09 0.08852
2016-02-08 0.08847
2016-02-07 0.08847
2016-02-06 0.08847
2016-02-05 0.08773
2016-02-04 0.08882
2016-02-03 0.08842
2016-02-02 0.08804
2016-02-01 0.08750
2016-01-31 0.08750
2016-01-30 0.08759
2016-01-29 0.08767
2016-01-28 0.08789
2016-01-27 0.08800
2016-01-26 0.08734
2016-01-25 0.08756
2016-01-24 0.08760
2016-01-23 0.08760
2016-01-22 0.08716
2016-01-21 0.08694
2016-01-20 0.08673
2016-01-19 0.08656
2016-01-18 0.08643
2016-01-17 0.08644
2016-01-16 0.08644
2016-01-15 0.08666
2016-01-14 0.08716
2016-01-13 0.08656
2016-01-12 0.08688
2016-01-11 0.08660
2016-01-10 0.08661
2016-01-09 0.08661
2016-01-08 0.08631
2016-01-07 0.08623
2016-01-06 0.08643
2016-01-05 0.08604
2016-01-04 0.08631
2016-01-03 0.08628
2016-01-02 0.08628
2016-01-01 0.08628
2015-12-31 0.08614
2015-12-30 0.08646
2015-12-29 0.08556
2015-12-28 0.08579
2015-12-27 0.08584
2015-12-26 0.08599
2015-12-25 0.08610
2015-12-24 0.08581
2015-12-23 0.08579
2015-12-22 0.08543
2015-12-21 0.08579
2015-12-20 0.08579
2015-12-19 0.08558
2015-12-18 0.08485
2015-12-17 0.08573
2015-12-16 0.08551
2015-12-15 0.08528
2015-12-14 0.08482
2015-12-13 0.08498
2015-12-12 0.08494
2015-12-11 0.08567
2015-12-10 0.08513
2015-12-09 0.08535
2015-12-08 0.08525
2015-12-07 0.08485