Turkmenistani manat to Andorran franc Converter

TMM
ADF

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Is it the right time to change your currencies?

The best day to change Turkmenistani manat in Andorran franc was the Sunday, 11 December 2016. At that time the currency had reached its highest value.

100000 Turkmenistani manat = 32.44 Andorran franc

The worst day to change Turkmenistani manat in Andorran franc was the Wednesday, 4 May 2016. The exchange rate had fallen to its lowest value.

100000 Turkmenistani manat = 32.44 Andorran franc

Graphic Turkmenistani manat / Andorran franc

Turkmenistani manat to Andorran franc conversion table

1 000 turkmenistani manat = 0.35 ADF
2 000 turkmenistani manat = 0.71 ADF
3 000 turkmenistani manat = 1.06 ADF
4 000 turkmenistani manat = 1.42 ADF
5 000 turkmenistani manat = 1.77 ADF
6 000 turkmenistani manat = 2.13 ADF
7 000 turkmenistani manat = 2.48 ADF
8 000 turkmenistani manat = 2.84 ADF
9 000 turkmenistani manat = 3.19 ADF
10 000 turkmenistani manat = 3.55 ADF
15 000 turkmenistani manat = 5.32 ADF
20 000 turkmenistani manat = 7.10 ADF
25 000 turkmenistani manat = 8.87 ADF
30 000 turkmenistani manat = 10.65 ADF
40 000 turkmenistani manat = 14.20 ADF
50 000 turkmenistani manat = 17.75 ADF
60 000 turkmenistani manat = 21.29 ADF
70 000 turkmenistani manat = 24.84 ADF
80 000 turkmenistani manat = 28.39 ADF
90 000 turkmenistani manat = 31.94 ADF
100 000 turkmenistani manat = 35.49 ADF

currency of Turkmenistan

currency of Andorra

  • iso 4217: ADF

Converter Turkmenistani manat / Andorran franc

2016-12-11 ► 1 TMM = 0.0003549 ADF ► Converter Turkmenistani manat Andorran franc . Free online currency conversion based on exchange rates. Currency converter

How to use the converter?

The Turkmenistani manat and Andorran franc parity obtained here was updated on the 2016-12-11

1 TMM = 0.0003549 ADF

You can change the currencies in the form.

Historical Turkmenistani manat / Andorran franc

History of daily rates TMM /ADF since Sunday, 15 November 2015.

The maximum was reached on Sunday, 11 December 2016

  • 1 Turkmenistani manat = 0.00035493972122419 Andorran franc

the minimum on Wednesday, 4 May 2016

  • 1 Turkmenistani manat = 0.00032440517697561 Andorran franc
date  
2016-12-11 0.0003549
2016-12-10 0.0003549
2016-12-09 0.0003536
2016-12-08 0.0003497
2016-12-07 0.0003498
2016-12-06 0.0003503
2016-12-05 0.0003509
2016-12-04 0.0003521
2016-12-03 0.0003526
2016-12-02 0.0003526
2016-12-01 0.0003527
2016-11-30 0.0003525
2016-11-29 0.0003541
2016-11-28 0.0003536
2016-11-27 0.0003530
2016-11-26 0.0003531
2016-11-25 0.0003531
2016-11-24 0.0003530
2016-11-23 0.0003531
2016-11-22 0.0003530
2016-11-21 0.0003515
2016-11-20 0.0003518
2016-11-19 0.0003518
2016-11-18 0.0003518
2016-11-17 0.0003505
2016-11-16 0.0003414
2016-11-15 0.0003405
2016-11-14 0.0003408
2016-11-13 0.0003384
2016-11-12 0.0003384
2016-11-11 0.0003384
2016-11-10 0.0003384
2016-11-09 0.0003374
2016-11-08 0.0003359
2016-11-07 0.0003356
2016-11-06 0.0003357
2016-11-05 0.0003356
2016-11-04 0.0003357
2016-11-03 0.0003361
2016-11-02 0.0003351
2016-11-01 0.0003359
2016-10-31 0.0003374
2016-10-30 0.0003376
2016-10-29 0.0003376
2016-10-28 0.0003376
2016-10-27 0.0003380
2016-10-26 0.0003381
2016-10-25 0.0003393
2016-10-24 0.0003390
2016-10-23 0.0003392
2016-10-22 0.0003392
2016-10-21 0.0003392
2016-10-20 0.0003374
2016-10-19 0.0003377
2016-10-18 0.0003373
2016-10-17 0.0003367
2016-10-16 0.0003368
2016-10-15 0.0003368
2016-10-14 0.0003368
2016-10-13 0.0003360
2016-10-12 0.0003366
2016-10-11 0.0003354
2016-10-10 0.0003345
2016-10-09 0.0003345
2016-10-08 0.0003345
2016-10-07 0.0003345
2016-10-06 0.0003343
2016-10-05 0.0003341
2016-10-04 0.0003354
2016-10-03 0.0003344
2016-10-02 0.0003362
2016-10-01 0.0003362
2016-09-30 0.0003362
2016-09-29 0.0003350
2016-09-28 0.0003351
2016-09-27 0.0003355
2016-09-26 0.0003341
2016-09-25 0.0003354
2016-09-24 0.0003353
2016-09-23 0.0003353
2016-09-22 0.0003349
2016-09-21 0.0003363
2016-09-20 0.0003354
2016-09-19 0.0003361
2016-09-18 0.0003352
2016-09-17 0.0003352
2016-09-16 0.0003352
2016-09-15 0.0003345
2016-09-14 0.0003353
2016-09-13 0.0003348
2016-09-12 0.0003353
2016-09-11 0.0003345
2016-09-10 0.0003345
2016-09-09 0.0003345
2016-09-08 0.0003343
2016-09-07 0.0003357
2016-09-06 0.0003366
2016-09-05 0.0003355
2016-09-04 0.0003355
2016-09-03 0.0003355
2016-09-02 0.0003355
2016-09-01 0.0003365
2016-08-31 0.0003360
2016-08-30 0.0003360
2016-08-29 0.0003361
2016-08-28 0.0003344
2016-08-27 0.0003344
2016-08-26 0.0003344
2016-08-25 0.0003344
2016-08-24 0.0003351
2016-08-23 0.0003334
2016-08-22 0.0003337
2016-08-21 0.0003335
2016-08-20 0.0003336
2016-08-19 0.0003335
2016-08-18 0.0003338
2016-08-17 0.0003412
2016-08-16 0.0003413
2016-08-15 0.0003356
2016-08-14 0.0003412
2016-08-13 0.0003413
2016-08-12 0.0003352
2016-08-11 0.0003413
2016-08-10 0.0003413
2016-08-09 0.0003370
2016-08-08 0.0003369
2016-08-07 0.0003361
2016-08-06 0.0003413
2016-08-05 0.0003412
2016-08-04 0.0003378
2016-08-03 0.0003367
2016-08-02 0.0003413
2016-08-01 0.0003367
2016-07-31 0.0003412
2016-07-30 0.0003413
2016-07-29 0.0003395
2016-07-28 0.0003413
2016-07-27 0.0003412
2016-07-26 0.0003415
2016-07-25 0.0003403
2016-07-24 0.0003396
2016-07-23 0.0003396
2016-07-22 0.0003397
2016-07-21 0.0003398
2016-07-20 0.0003396
2016-07-19 0.0003392
2016-07-18 0.0003388
2016-07-17 0.0003371
2016-07-16 0.0003371
2016-07-15 0.0003371
2016-07-14 0.0003359
2016-07-13 0.0003384
2016-07-12 0.0003378
2016-07-11 0.0003388
2016-07-10 0.0003386
2016-07-09 0.0003385
2016-07-08 0.0003386
2016-07-07 0.0003381
2016-07-06 0.0003383
2016-07-05 0.0003364
2016-07-04 0.0003366
2016-06-24 0.0003304
2016-06-23 0.0003304
2016-06-22 0.0003328
2016-06-21 0.0003322
2016-06-20 0.0003315
2016-06-19 0.0003334
2016-06-18 0.0003334
2016-06-17 0.0003353
2016-06-16 0.0003335
2016-06-15 0.0003337
2016-06-14 0.0003319
2016-06-13 0.0003312
2016-06-12 0.0003313
2016-06-11 0.0003312
2016-06-10 0.0003304
2016-06-09 0.0003296
2016-06-08 0.0003317
2016-06-07 0.0003314
2016-06-06 0.0003355
2016-06-05 0.0003355
2016-06-04 0.0003355
2016-06-03 0.0003353
2016-06-02 0.0003351
2016-06-01 0.0003356
2016-05-31 0.0003360
2016-05-30 0.0003356
2016-05-29 0.0003356
2016-05-28 0.0003356
2016-05-27 0.0003356
2016-05-26 0.0003360
2016-05-25 0.0003356
2016-05-24 0.0003341
2016-05-23 0.0003341
2016-05-22 0.0003341
2016-05-21 0.0003335
2016-05-20 0.0003342
2016-05-19 0.0003320
2016-05-18 0.0003312
2016-05-17 0.0003308
2016-05-16 0.0003303
2016-05-15 0.0003296
2016-05-14 0.0003296
2016-05-13 0.0003286
2016-05-12 0.0003281
2016-05-11 0.0003289
2016-05-10 0.0003286
2016-05-09 0.0003273
2016-05-08 0.0003273
2016-05-07 0.0003273
2016-05-06 0.0003269
2016-05-05 0.0003254
2016-05-04 0.0003244
2016-05-03 0.0003279
2016-05-02 0.0003298
2016-05-01 0.0003298
2016-04-30 0.0003298
2016-04-29 0.0003306
2016-04-28 0.0003318
2016-04-27 0.0003318
2016-04-26 0.0003321
2016-04-25 0.0003322
2016-04-24 0.0003322
2016-04-23 0.0003322
2016-04-22 0.0003298
2016-04-21 0.0003302
2016-04-20 0.0003311
2016-04-19 0.0003319
2016-04-18 0.0003324
2016-04-17 0.0003324
2016-04-16 0.0003324
2016-04-15 0.0003326
2016-04-14 0.0003316
2016-04-13 0.0003317
2016-04-12 0.0003295
2016-04-11 0.0003299
2016-04-10 0.0003299
2016-04-09 0.0003298
2016-04-08 0.0003299
2016-04-07 0.0003303
2016-04-06 0.0003296
2016-04-05 0.0003292
2016-04-04 0.0003279
2016-04-03 0.0003295
2016-04-02 0.0003295
2016-04-01 0.0003307
2016-03-31 0.0003323
2016-03-30 0.0003352
2016-03-29 0.0003361
2016-03-28 0.0003349
2016-03-27 0.0003349
2016-03-26 0.0003350
2016-03-25 0.0003349
2016-03-24 0.0003347
2016-03-23 0.0003338
2016-03-22 0.0003340
2016-03-21 0.0003338
2016-03-20 0.0003338
2016-03-19 0.0003338
2016-03-18 0.0003330
2016-03-17 0.0003386
2016-03-16 0.0003379
2016-03-15 0.0003378
2016-03-14 0.0003386
2016-03-13 0.0003386
2016-03-12 0.0003386
2016-03-11 0.0003451
2016-03-10 0.0003425
2016-03-09 0.0003410
2016-03-08 0.0003428
2016-03-07 0.0003424
2016-03-06 0.0003424
2016-03-05 0.0003424
2016-03-04 0.0003430
2016-03-03 0.0003443
2016-03-02 0.0003440
2016-03-01 0.0003434
2016-02-29 0.0003406
2016-02-28 0.0003406
2016-02-27 0.0003397
2016-02-26 0.0003391
2016-02-25 0.0003401
2016-02-24 0.0003399
2016-02-23 0.0003393
2016-02-22 0.0003377
2016-02-21 0.0003365
2016-02-20 0.0003365
2016-02-19 0.0003369
2016-02-18 0.0003354
2016-02-17 0.0003347
2016-02-16 0.0003338
2016-02-15 0.0003338
2016-02-14 0.0003338
2016-02-13 0.0003338
2016-02-12 0.0003320
2016-02-11 0.0003340
2016-02-10 0.0003342
2016-02-09 0.0003391
2016-02-08 0.0003365
2016-02-07 0.0003366
2016-02-06 0.0003365
2016-02-05 0.0003363
2016-02-04 0.0003431
2016-02-03 0.0003434
2016-02-02 0.0003440
2016-02-01 0.0003432
2016-01-31 0.0003433
2016-01-30 0.0003433
2016-01-29 0.0003439
2016-01-28 0.0003442
2016-01-27 0.0003454
2016-01-26 0.0003461
2016-01-25 0.0003465
2016-01-24 0.0003465
2016-01-23 0.0003465
2016-01-22 0.0003439
2016-01-21 0.0003435
2016-01-20 0.0003446
2016-01-19 0.0003438
2016-01-18 0.0003434
2016-01-17 0.0003434
2016-01-16 0.0003433
2016-01-15 0.0003443
2016-01-14 0.0003460
2016-01-13 0.0003456
2016-01-12 0.0003444
2016-01-11 0.0003451
2016-01-10 0.0003450
2016-01-09 0.0003450
2016-01-08 0.0003447
2016-01-07 0.0003482
2016-01-06 0.0003480
2016-01-05 0.0003442
2016-01-04 0.0003437
2016-01-03 0.0003437
2016-01-02 0.0003437
2016-01-01 0.0003437
2015-12-31 0.0003426
2015-12-30 0.0003421
2015-12-29 0.0003423
2015-12-28 0.0003426
2015-12-27 0.0003426
2015-12-26 0.0003426
2015-12-25 0.0003426
2015-12-24 0.0003434
2015-12-23 0.0003422
2015-12-22 0.0003443
2015-12-21 0.0003453
2015-12-20 0.0003454
2015-12-19 0.0003453
2015-12-18 0.0003451
2015-12-17 0.0003425
2015-12-16 0.0003414
2015-12-15 0.0003414
2015-12-14 0.0003425
2015-12-13 0.0003425
2015-12-12 0.0003425
2015-12-11 0.0003431
2015-12-10 0.0003427
2015-12-09 0.0003443
2015-12-08 0.0003462
2015-12-07 0.0003439
2015-12-06 0.0003439
2015-12-05 0.0003456
2015-12-04 0.0003508