Turkmenistani manat to Swazi lilangeni Converter

TMM
SZL

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Is it the right time to change your currencies?

The best day to change Turkmenistani manat in Swazi lilangeni was the Monday, 18 January 2016. At that time the currency had reached its highest value.

100000 Turkmenistani manat = 75.21 Swazi lilangeni

The worst day to change Turkmenistani manat in Swazi lilangeni was the Tuesday, 8 November 2016. The exchange rate had fallen to its lowest value.

100000 Turkmenistani manat = 75.21 Swazi lilangeni

Graphic Turkmenistani manat / Swazi lilangeni

Turkmenistani manat to Swazi lilangeni conversion table

1 000 turkmenistani manat = 0.79 SZL
2 000 turkmenistani manat = 1.58 SZL
3 000 turkmenistani manat = 2.37 SZL
4 000 turkmenistani manat = 3.16 SZL
5 000 turkmenistani manat = 3.96 SZL
6 000 turkmenistani manat = 4.75 SZL
7 000 turkmenistani manat = 5.54 SZL
8 000 turkmenistani manat = 6.33 SZL
9 000 turkmenistani manat = 7.12 SZL
10 000 turkmenistani manat = 7.91 SZL
15 000 turkmenistani manat = 11.87 SZL
20 000 turkmenistani manat = 15.82 SZL
25 000 turkmenistani manat = 19.78 SZL
30 000 turkmenistani manat = 23.73 SZL
40 000 turkmenistani manat = 31.64 SZL
50 000 turkmenistani manat = 39.56 SZL
60 000 turkmenistani manat = 47.47 SZL
70 000 turkmenistani manat = 55.38 SZL
80 000 turkmenistani manat = 63.29 SZL
90 000 turkmenistani manat = 71.20 SZL
100 000 turkmenistani manat = 79.11 SZL

currency of Turkmenistan

currency of Swaziland

Converter Turkmenistani manat / Swazi lilangeni

2016-12-10 ► 1 TMM = 0.0007911 SZL ► Converter Turkmenistani manat Swazi lilangeni . Free online currency conversion based on exchange rates. Currency converter

How to use the converter?

The Turkmenistani manat and Swazi lilangeni parity obtained here was updated on the 2016-12-10

1 TMM = 0.0007911 SZL

You can change the currencies in the form.

Historical Turkmenistani manat / Swazi lilangeni

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

The maximum was reached on Monday, 18 January 2016

  • 1 Turkmenistani manat = 0.00096055820478327 Swazi lilangeni

the minimum on Tuesday, 8 November 2016

  • 1 Turkmenistani manat = 0.00075205358788946 Swazi lilangeni
date  
2016-12-10 0.0007911
2016-12-09 0.0007881
2016-12-08 0.0007737
2016-12-07 0.0007740
2016-12-06 0.0007811
2016-12-05 0.0007991
2016-12-04 0.0007973
2016-12-03 0.0008072
2016-12-02 0.0008072
2016-12-01 0.0008052
2016-11-30 0.0007977
2016-11-29 0.0008026
2016-11-28 0.0007949
2016-11-27 0.0008062
2016-11-26 0.0008058
2016-11-25 0.0008058
2016-11-24 0.0008092
2016-11-23 0.0008089
2016-11-22 0.0008061
2016-11-21 0.0008083
2016-11-20 0.0008280
2016-11-19 0.0008280
2016-11-18 0.0008281
2016-11-17 0.0008114
2016-11-16 0.0007984
2016-11-15 0.0007895
2016-11-14 0.0008040
2016-11-13 0.0007992
2016-11-12 0.0008005
2016-11-11 0.0008006
2016-11-10 0.0007769
2016-11-09 0.0007599
2016-11-08 0.0007521
2016-11-07 0.0007616
2016-11-06 0.0007680
2016-11-05 0.0007725
2016-11-04 0.0007725
2016-11-03 0.0007672
2016-11-02 0.0007593
2016-11-01 0.0007669
2016-10-31 0.0007639
2016-10-30 0.0007815
2016-10-29 0.0007819
2016-10-28 0.0007820
2016-10-27 0.0007771
2016-10-26 0.0007803
2016-10-25 0.0007797
2016-10-24 0.0007814
2016-10-23 0.0007909
2016-10-22 0.0007906
2016-10-21 0.0007907
2016-10-20 0.0007803
2016-10-19 0.0007854
2016-10-18 0.0007906
2016-10-17 0.0008004
2016-10-16 0.0007975
2016-10-15 0.0007975
2016-10-14 0.0007975
2016-10-13 0.0008099
2016-10-12 0.0008144
2016-10-11 0.0008069
2016-10-10 0.0007862
2016-10-09 0.0007921
2016-10-08 0.0007928
2016-10-07 0.0007927
2016-10-06 0.0007915
2016-10-05 0.0007855
2016-10-04 0.0007823
2016-10-03 0.0007790
2016-10-02 0.0007949
2016-10-01 0.0007954
2016-09-30 0.0007954
2016-09-29 0.0007924
2016-09-28 0.0007827
2016-09-27 0.0007779
2016-09-26 0.0007827
2016-09-25 0.0007814
2016-09-24 0.0007810
2016-09-23 0.0007810
2016-09-22 0.0007726
2016-09-21 0.0007908
2016-09-20 0.0007917
2016-09-19 0.0008037
2016-09-18 0.0008107
2016-09-17 0.0008106
2016-09-16 0.0008107
2016-09-15 0.0008165
2016-09-14 0.0008250
2016-09-13 0.0008270
2016-09-12 0.0008275
2016-09-11 0.0008235
2016-09-10 0.0008228
2016-09-09 0.0008228
2016-09-08 0.0008029
2016-09-07 0.0008071
2016-09-06 0.0008196
2016-09-05 0.0007969
2016-09-04 0.0007974
2016-09-03 0.0008316
2016-09-02 0.0008315
2016-09-01 0.0008458
2016-08-31 0.0008105
2016-08-30 0.0008105
2016-08-29 0.0008134
2016-08-28 0.0008032
2016-08-27 0.0008033
2016-08-26 0.0008033
2016-08-25 0.0008137
2016-08-24 0.0008117
2016-08-23 0.0007751
2016-08-22 0.0007838
2016-08-21 0.0007784
2016-08-20 0.0007793
2016-08-19 0.0007792
2016-08-18 0.0007711
2016-08-17 0.0007885
2016-08-16 0.0007811
2016-08-15 0.0007679
2016-08-14 0.0007776
2016-08-13 0.0007773
2016-08-12 0.0007635
2016-08-11 0.0007754
2016-08-10 0.0007733
2016-08-09 0.0007703
2016-08-08 0.0007758
2016-08-07 0.0007833
2016-08-06 0.0007952
2016-08-05 0.0007951
2016-08-04 0.0007890
2016-08-03 0.0008024
2016-08-02 0.0008161
2016-08-01 0.0007975
2016-07-31 0.0008207
2016-07-30 0.0008205
2016-07-29 0.0008162
2016-07-28 0.0008210
2016-07-27 0.0008228
2016-07-26 0.0008237
2016-07-25 0.0008174
2016-07-24 0.0008107
2016-07-23 0.0008111
2016-07-22 0.0008112
2016-07-21 0.0008121
2016-07-20 0.0008163
2016-07-19 0.0008177
2016-07-18 0.0008192
2016-07-17 0.0008206
2016-07-16 0.0008154
2016-07-15 0.0008159
2016-07-14 0.0008130
2016-07-13 0.0008250
2016-07-12 0.0008230
2016-07-11 0.0008271
2016-07-10 0.0008327
2016-07-09 0.0008311
2016-07-08 0.0008312
2016-07-07 0.0008350
2016-07-06 0.0008432
2016-07-05 0.0008392
2016-07-04 0.0008355
2016-06-24 0.0008463
2016-06-23 0.0008275
2016-06-22 0.0008420
2016-06-21 0.0008494
2016-06-20 0.0008550
2016-06-19 0.0008681
2016-06-18 0.0008703
2016-06-17 0.0008765
2016-06-16 0.0008645
2016-06-15 0.0008671
2016-06-14 0.0008607
2016-06-13 0.0008585
2016-06-12 0.0008516
2016-06-11 0.0008515
2016-06-10 0.0008478
2016-06-09 0.0008466
2016-06-08 0.0008566
2016-06-07 0.0008572
2016-06-06 0.0008761
2016-06-05 0.0008789
2016-06-04 0.0008902
2016-06-03 0.0008933
2016-06-02 0.0008956
2016-06-01 0.0008985
2016-05-31 0.0009014
2016-05-30 0.0008949
2016-05-29 0.0008933
2016-05-28 0.0008932
2016-05-27 0.0008914
2016-05-26 0.0008945
2016-05-25 0.0008931
2016-05-24 0.0008963
2016-05-23 0.0008951
2016-05-22 0.0008959
2016-05-21 0.0008938
2016-05-20 0.0008997
2016-05-19 0.0008996
2016-05-18 0.0008904
2016-05-17 0.0008838
2016-05-16 0.0008712
2016-05-15 0.0008678
2016-05-14 0.0008674
2016-05-13 0.0008590
2016-05-12 0.0008619
2016-05-11 0.0008610
2016-05-10 0.0008604
2016-05-09 0.0008509
2016-05-08 0.0008533
2016-05-07 0.0008518
2016-05-06 0.0008498
2016-05-05 0.0008387
2016-05-04 0.0008245
2016-05-03 0.0008185
2016-05-02 0.0008148
2016-05-01 0.0008148
2016-04-30 0.0008148
2016-04-29 0.0008208
2016-04-28 0.0008247
2016-04-27 0.0008231
2016-04-26 0.0008237
2016-04-25 0.0008199
2016-04-24 0.0008197
2016-04-23 0.0008227
2016-04-22 0.0008177
2016-04-21 0.0008189
2016-04-20 0.0008231
2016-04-19 0.0008310
2016-04-18 0.0008357
2016-04-17 0.0008328
2016-04-16 0.0008388
2016-04-15 0.0008376
2016-04-14 0.0008403
2016-04-13 0.0008386
2016-04-12 0.0008465
2016-04-11 0.0008559
2016-04-10 0.0008554
2016-04-09 0.0008552
2016-04-08 0.0008631
2016-04-07 0.0008614
2016-04-06 0.0008564
2016-04-05 0.0008486
2016-04-04 0.0008481
2016-04-03 0.0008494
2016-04-02 0.0008516
2016-04-01 0.0008511
2016-03-31 0.0008603
2016-03-30 0.0008797
2016-03-29 0.0008855
2016-03-28 0.0008809
2016-03-27 0.0008810
2016-03-26 0.0008811
2016-03-25 0.0008814
2016-03-24 0.0008741
2016-03-23 0.0008713
2016-03-22 0.0008745
2016-03-21 0.0008743
2016-03-20 0.0008743
2016-03-19 0.0008750
2016-03-18 0.0008731
2016-03-17 0.0009002
2016-03-16 0.0008998
2016-03-15 0.0008801
2016-03-14 0.0008741
2016-03-13 0.0008747
2016-03-12 0.0008753
2016-03-11 0.0008863
2016-03-10 0.0008776
2016-03-09 0.0008803
2016-03-08 0.0008794
2016-03-07 0.0008833
2016-03-06 0.0008993
2016-03-05 0.0008992
2016-03-04 0.0009045
2016-03-03 0.0008995
2016-03-02 0.0009013
2016-03-01 0.0009121
2016-02-29 0.0009007
2016-02-28 0.0008954
2016-02-27 0.0008971
2016-02-26 0.0008829
2016-02-25 0.0008838
2016-02-24 0.0008672
2016-02-23 0.0008786
2016-02-22 0.0008881
2016-02-21 0.0008870
2016-02-20 0.0008871
2016-02-19 0.0008859
2016-02-18 0.0008912
2016-02-17 0.0008999
2016-02-16 0.0008993
2016-02-15 0.0009095
2016-02-14 0.0009103
2016-02-13 0.0009103
2016-02-12 0.0009095
2016-02-11 0.0009092
2016-02-10 0.0009212
2016-02-09 0.0009261
2016-02-08 0.0009132
2016-02-07 0.0009133
2016-02-06 0.0009132
2016-02-05 0.0009100
2016-02-04 0.0009186
2016-02-03 0.0009216
2016-02-02 0.0009115
2016-02-01 0.0009077
2016-01-31 0.0009082
2016-01-30 0.0009156
2016-01-29 0.0009323
2016-01-28 0.0009390
2016-01-27 0.0009389
2016-01-26 0.0009438
2016-01-25 0.0009392
2016-01-24 0.0009464
2016-01-23 0.0009465
2016-01-22 0.0009487
2016-01-21 0.0009566
2016-01-20 0.0009569
2016-01-19 0.0009600
2016-01-18 0.0009606
2016-01-17 0.0009587
2016-01-16 0.0009585
2016-01-15 0.0009467
2016-01-14 0.0009519
2016-01-13 0.0009528
2016-01-12 0.0009307
2016-01-11 0.0009284
2016-01-10 0.0009154
2016-01-09 0.0009188
2016-01-08 0.0009135
2016-01-07 0.0009025
2016-01-06 0.0008911
2016-01-05 0.0008866
2016-01-04 0.0008844
2016-01-03 0.0008849
2016-01-02 0.0008849
2016-01-01 0.0008848
2015-12-31 0.0008815
2015-12-30 0.0008727
2015-12-29 0.0008742
2015-12-28 0.0008731
2015-12-27 0.0008740
2015-12-26 0.0008740
2015-12-25 0.0008690
2015-12-24 0.0008670
2015-12-23 0.0008636
2015-12-22 0.0008609
2015-12-21 0.0008608
2015-12-20 0.0008608
2015-12-19 0.0008778
2015-12-18 0.0008753
2015-12-17 0.0008674
2015-12-16 0.0008658
2015-12-15 0.0008807
2015-12-14 0.0009012
2015-12-13 0.0008857
2015-12-12 0.0008841
2015-12-11 0.0008584
2015-12-10 0.0008410
2015-12-09 0.0008314
2015-12-08 0.0008272
2015-12-07 0.0008192
2015-12-06 0.0008197
2015-12-05 0.0008238
2015-12-04 0.0008304
2015-12-03 0.0008214