Gambian dalasi to Austrian shilling Converter

GMD
ATS

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 Austrian shilling was the Wednesday, 6 January 2016. At that time the currency had reached its highest value.

1000 Gambian dalasi = 279.76 Austrian shilling

The worst day to change Gambian dalasi in Austrian shilling was the Wednesday, 4 May 2016. The exchange rate had fallen to its lowest value.

1000 Gambian dalasi = 279.76 Austrian shilling

Graphic Gambian dalasi / Austrian shilling

Gambian dalasi to Austrian shilling conversion table

10 gambian dalasi = 3.14 ATS
20 gambian dalasi = 6.28 ATS
30 gambian dalasi = 9.43 ATS
40 gambian dalasi = 12.57 ATS
50 gambian dalasi = 15.71 ATS
60 gambian dalasi = 18.85 ATS
70 gambian dalasi = 22.00 ATS
80 gambian dalasi = 25.14 ATS
90 gambian dalasi = 28.28 ATS
100 gambian dalasi = 31.42 ATS
150 gambian dalasi = 47.14 ATS
200 gambian dalasi = 62.85 ATS
250 gambian dalasi = 78.56 ATS
300 gambian dalasi = 94.27 ATS
400 gambian dalasi = 125.70 ATS
500 gambian dalasi = 157.12 ATS
600 gambian dalasi = 188.54 ATS
700 gambian dalasi = 219.97 ATS
800 gambian dalasi = 251.39 ATS
900 gambian dalasi = 282.82 ATS
1 000 gambian dalasi = 314.24 ATS

currency of The Gambia

currency of Austria

Converter Gambian dalasi / Austrian shilling

2016-12-08 ► 1 GMD = 0.31424 ATS ► Converter Gambian dalasi Austrian shilling . Free online currency conversion based on exchange rates. Currency converter

How to use the converter?

The Gambian dalasi and Austrian shilling parity obtained here was updated on the 2016-12-08

1 GMD = 0.31424 ATS

You can change the currencies in the form.

Historical Gambian dalasi / Austrian shilling

History of daily rates GMD /ATS since Sunday, 15 November 2015.

The maximum was reached on Tuesday, 1 December 2015

  • 1 Gambian dalasi = 0.33031828449482 Austrian shilling

the minimum on Wednesday, 4 May 2016

  • 1 Gambian dalasi = 0.27976163852169 Austrian shilling
date  
2016-12-08 0.31424
2016-12-07 0.31483
2016-12-06 0.30903
2016-12-05 0.31169
2016-12-04 0.31175
2016-12-03 0.31175
2016-12-02 0.31175
2016-12-01 0.29784
2016-11-30 0.31222
2016-11-29 0.30922
2016-11-28 0.29949
2016-11-27 0.30882
2016-11-26 0.30219
2016-11-25 0.30903
2016-11-24 0.30950
2016-11-23 0.30964
2016-11-22 0.30398
2016-11-21 0.30225
2016-11-20 0.30342
2016-11-19 0.30340
2016-11-18 0.30340
2016-11-17 0.29882
2016-11-16 0.30791
2016-11-15 0.29647
2016-11-14 0.30034
2016-11-13 0.29640
2016-11-12 0.29593
2016-11-11 0.29593
2016-11-10 0.29503
2016-11-09 0.29128
2016-11-08 0.29221
2016-11-07 0.29193
2016-11-06 0.28813
2016-11-05 0.28646
2016-11-04 0.28646
2016-11-03 0.28630
2016-11-02 0.28612
2016-11-01 0.28732
2016-10-31 0.28978
2016-10-30 0.29259
2016-10-29 0.29244
2016-10-28 0.29244
2016-10-27 0.29141
2016-10-26 0.29283
2016-10-25 0.29156
2016-10-24 0.29542
2016-10-23 0.29186
2016-10-22 0.29196
2016-10-21 0.29196
2016-10-20 0.29098
2016-10-19 0.28989
2016-10-18 0.28925
2016-10-17 0.28859
2016-10-16 0.28976
2016-10-15 0.28979
2016-10-14 0.28979
2016-10-13 0.29064
2016-10-12 0.29181
2016-10-11 0.28790
2016-10-10 0.28563
2016-10-09 0.28561
2016-10-08 0.28539
2016-10-07 0.28539
2016-10-06 0.28520
2016-10-05 0.28343
2016-10-04 0.28402
2016-10-03 0.28382
2016-10-02 0.28512
2016-10-01 0.28493
2016-09-30 0.28493
2016-09-29 0.28313
2016-09-28 0.28358
2016-09-27 0.28405
2016-09-26 0.28229
2016-09-25 0.28307
2016-09-24 0.28321
2016-09-23 0.28321
2016-09-22 0.28345
2016-09-21 0.28437
2016-09-20 0.28782
2016-09-19 0.28613
2016-09-18 0.28788
2016-09-17 0.28787
2016-09-16 0.28787
2016-09-15 0.28337
2016-09-14 0.28236
2016-09-13 0.28349
2016-09-12 0.28587
2016-09-11 0.28273
2016-09-10 0.28298
2016-09-09 0.28298
2016-09-08 0.28175
2016-09-07 0.28319
2016-09-06 0.28233
2016-09-05 0.28493
2016-09-04 0.28474
2016-09-03 0.28483
2016-09-02 0.28483
2016-09-01 0.28363
2016-08-31 0.28511
2016-08-30 0.28492
2016-08-29 0.28544
2016-08-28 0.28691
2016-08-27 0.28685
2016-08-26 0.28685
2016-08-25 0.28133
2016-08-24 0.28186
2016-08-23 0.28082
2016-08-22 0.28126
2016-08-21 0.28384
2016-08-20 0.28355
2016-08-19 0.28355
2016-08-18 0.27981
2016-08-17 0.28230
2016-08-16 0.28155
2016-08-15 0.29569
2016-08-14 0.29625
2016-08-13 0.29638
2016-08-12 0.29638
2016-08-11 0.29703
2016-08-10 0.28383
2016-08-09 0.28727
2016-08-08 0.28729
2016-08-07 0.28968
2016-08-06 0.28980
2016-08-05 0.28980
2016-08-04 0.28874
2016-08-03 0.28811
2016-08-02 0.28298
2016-08-01 0.28439
2016-07-31 0.28401
2016-07-30 0.28413
2016-07-29 0.28413
2016-07-28 0.28658
2016-07-27 0.28734
2016-07-26 0.28972
2016-07-25 0.28895
2016-07-24 0.28991
2016-07-23 0.28978
2016-07-22 0.28978
2016-07-21 0.28846
2016-07-20 0.28885
2016-07-19 0.29177
2016-07-18 0.29073
2016-07-17 0.29069
2016-07-16 0.29194
2016-07-15 0.29217
2016-07-14 0.29009
2016-07-13 0.28969
2016-07-12 0.28889
2016-07-11 0.28956
2016-07-10 0.28999
2016-07-09 0.29026
2016-07-08 0.29025
2016-07-07 0.28889
2016-07-06 0.29194
2016-07-05 0.28822
2016-07-04 0.28754
2016-07-03 0.28686
2016-07-02 0.28676
2016-07-01 0.28676
2016-06-30 0.28772
2016-06-29 0.28868
2016-06-28 0.29162
2016-06-27 0.29160
2016-06-26 0.29140
2016-06-25 0.28914
2016-06-24 0.28914
2016-06-23 0.28198
2016-06-22 0.28389
2016-06-21 0.28818
2016-06-20 0.28559
2016-06-19 0.28684
2016-06-18 0.28677
2016-06-17 0.28672
2016-06-16 0.28787
2016-06-15 0.28699
2016-06-14 0.28538
2016-06-13 0.28547
2016-06-12 0.28504
2016-06-11 0.28504
2016-06-10 0.28520
2016-06-09 0.28330
2016-06-08 0.28550
2016-06-07 0.28374
2016-06-06 0.28660
2016-06-05 0.28801
2016-06-04 0.28804
2016-06-03 0.28848
2016-06-02 0.28843
2016-06-01 0.29099
2016-05-31 0.28950
2016-05-30 0.28949
2016-05-29 0.28803
2016-05-28 0.28802
2016-05-27 0.28782
2016-05-26 0.28807
2016-05-25 0.28863
2016-05-24 0.28651
2016-05-23 0.28674
2016-05-22 0.28627
2016-05-21 0.28642
2016-05-20 0.28762
2016-05-19 0.28530
2016-05-18 0.28404
2016-05-17 0.28548
2016-05-16 0.28419
2016-05-15 0.28402
2016-05-14 0.28408
2016-05-13 0.28290
2016-05-12 0.28276
2016-05-11 0.28206
2016-05-10 0.28177
2016-05-09 0.28153
2016-05-08 0.28085
2016-05-07 0.28122
2016-05-06 0.28303
2016-05-05 0.28248
2016-05-04 0.27976
2016-05-03 0.27997
2016-05-02 0.28208
2016-05-01 0.28225
2016-04-30 0.28224
2016-04-29 0.28641
2016-04-28 0.28545
2016-04-27 0.28663
2016-04-26 0.28602
2016-04-25 0.28762
2016-04-24 0.28842
2016-04-23 0.28883
2016-04-22 0.28528
2016-04-21 0.28645
2016-04-20 0.28662
2016-04-19 0.28676
2016-04-18 0.28657
2016-04-17 0.28671
2016-04-16 0.28601
2016-04-15 0.28560
2016-04-14 0.28604
2016-04-13 0.28610
2016-04-12 0.28262
2016-04-11 0.28350
2016-04-10 0.28373
2016-04-09 0.28373
2016-04-08 0.28442
2016-04-07 0.28459
2016-04-06 0.28431
2016-04-05 0.28175
2016-04-04 0.28237
2016-04-03 0.28248
2016-04-02 0.28237
2016-04-01 0.28373
2016-03-31 0.28464
2016-03-30 0.28586
2016-03-29 0.28884
2016-03-28 0.29534
2016-03-27 0.28740
2016-03-26 0.28744
2016-03-25 0.28728
2016-03-24 0.29512
2016-03-23 0.30064
2016-03-22 0.30388
2016-03-21 0.30567
2016-03-20 0.30567
2016-03-19 0.30529
2016-03-18 0.31055
2016-03-17 0.31298
2016-03-16 0.31384
2016-03-15 0.31325
2016-03-14 0.31466
2016-03-13 0.31385
2016-03-12 0.31443
2016-03-11 0.31550
2016-03-10 0.31661
2016-03-09 0.31593
2016-03-08 0.31776
2016-03-07 0.31719
2016-03-06 0.31710
2016-03-05 0.31710
2016-03-04 0.31896
2016-03-03 0.32004
2016-03-02 0.32202
2016-03-01 0.31975
2016-02-29 0.31681
2016-02-28 0.31642
2016-02-27 0.31687
2016-02-26 0.31527
2016-02-25 0.31601
2016-02-24 0.31760
2016-02-23 0.31582
2016-02-22 0.31362
2016-02-21 0.31336
2016-02-20 0.31338
2016-02-19 0.31317
2016-02-18 0.31281
2016-02-17 0.31191
2016-02-16 0.31081
2016-02-15 0.30969
2016-02-14 0.30939
2016-02-13 0.30941
2016-02-12 0.30697
2016-02-11 0.30939
2016-02-10 0.30955
2016-02-09 0.31391
2016-02-08 0.31291
2016-02-07 0.31289
2016-02-06 0.31291
2016-02-05 0.31034
2016-02-04 0.31965
2016-02-03 0.32019
2016-02-02 0.32027
2016-02-01 0.31864
2016-01-31 0.31863
2016-01-30 0.31929
2016-01-29 0.31928
2016-01-28 0.32086
2016-01-27 0.32231
2016-01-26 0.32125
2016-01-25 0.32321
2016-01-24 0.32340
2016-01-23 0.32340
2016-01-22 0.32006
2016-01-21 0.31932
2016-01-20 0.31921
2016-01-19 0.31890
2016-01-18 0.31884
2016-01-17 0.31893
2016-01-16 0.31890
2016-01-15 0.32043
2016-01-14 0.32280
2016-01-13 0.32037
2016-01-12 0.32082
2016-01-11 0.32006
2016-01-10 0.32058
2016-01-09 0.32020
2016-01-08 0.31994
2016-01-07 0.32324
2016-01-06 0.32386
2016-01-05 0.31970
2016-01-04 0.32026
2016-01-03 0.32012
2016-01-02 0.32012
2016-01-01 0.32014
2015-12-31 0.31864
2015-12-30 0.32009
2015-12-29 0.31690
2015-12-28 0.31819
2015-12-27 0.31807
2015-12-26 0.31874
2015-12-25 0.31925
2015-12-24 0.31966
2015-12-23 0.31974
2015-12-22 0.32073
2015-12-21 0.32324
2015-12-20 0.32324
2015-12-19 0.32245
2015-12-18 0.31942
2015-12-17 0.32036
2015-12-16 0.31845
2015-12-15 0.31720
2015-12-14 0.31618
2015-12-13 0.31670
2015-12-12 0.31667
2015-12-11 0.31930
2015-12-10 0.31743