Turkmenistani manat to Libyan dinar Converter

TMM
LYD

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Is it the right time to change your currencies?

The best day to change Turkmenistani manat in Libyan dinar was the Monday, 5 December 2016. At that time the currency had reached its highest value.

1000000 Turkmenistani manat = 74.92 Libyan dinar

The worst day to change Turkmenistani manat in Libyan dinar was the Friday, 3 June 2016. The exchange rate had fallen to its lowest value.

1000000 Turkmenistani manat = 74.92 Libyan dinar

Graphic Turkmenistani manat / Libyan dinar

Turkmenistani manat to Libyan dinar conversion table

10 000 turkmenistani manat = 0.82 LYD
20 000 turkmenistani manat = 1.63 LYD
30 000 turkmenistani manat = 2.45 LYD
40 000 turkmenistani manat = 3.27 LYD
50 000 turkmenistani manat = 4.08 LYD
60 000 turkmenistani manat = 4.90 LYD
70 000 turkmenistani manat = 5.72 LYD
80 000 turkmenistani manat = 6.54 LYD
90 000 turkmenistani manat = 7.35 LYD
100 000 turkmenistani manat = 8.17 LYD
150 000 turkmenistani manat = 12.25 LYD
200 000 turkmenistani manat = 16.34 LYD
250 000 turkmenistani manat = 20.42 LYD
300 000 turkmenistani manat = 24.51 LYD
400 000 turkmenistani manat = 32.68 LYD
500 000 turkmenistani manat = 40.85 LYD
600 000 turkmenistani manat = 49.01 LYD
700 000 turkmenistani manat = 57.18 LYD
800 000 turkmenistani manat = 65.35 LYD
900 000 turkmenistani manat = 73.52 LYD
1 000 000 turkmenistani manat = 81.69 LYD

currency of Turkmenistan

currency of Libya

Converter Turkmenistani manat / Libyan dinar

2016-12-06 ► 1 TMM = 0.00008169 LYD ► Converter Turkmenistani manat Libyan dinar . Free online currency conversion based on exchange rates. Currency converter

How to use the converter?

The Turkmenistani manat and Libyan dinar parity obtained here was updated on the 2016-12-06

1 TMM = 0.00008169 LYD

You can change the currencies in the form.

Historical Turkmenistani manat / Libyan dinar

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

The maximum was reached on Monday, 5 December 2016

  • 1 Turkmenistani manat = 8.2164596638745E-5 Libyan dinar

the minimum on Friday, 3 June 2016

  • 1 Turkmenistani manat = 7.492166534618E-5 Libyan dinar
date  
2016-12-06 0.00008169
2016-12-05 0.00008216
2016-12-04 0.00008082
2016-12-03 0.00008182
2016-12-02 0.00008182
2016-12-01 0.00008175
2016-11-30 0.00008124
2016-11-29 0.00008191
2016-11-28 0.00008176
2016-11-27 0.00008164
2016-11-26 0.00008122
2016-11-25 0.00008159
2016-11-24 0.00008094
2016-11-23 0.00008092
2016-11-22 0.00008150
2016-11-21 0.00008130
2016-11-20 0.00008049
2016-11-19 0.00008050
2016-11-18 0.00008051
2016-11-17 0.00008047
2016-11-16 0.00007829
2016-11-15 0.00007831
2016-11-14 0.00007860
2016-11-13 0.00007852
2016-11-12 0.00007865
2016-11-11 0.00007866
2016-11-10 0.00007781
2016-11-09 0.00007808
2016-11-08 0.00007845
2016-11-07 0.00007872
2016-11-06 0.00007911
2016-11-05 0.00007957
2016-11-04 0.00007957
2016-11-03 0.00007937
2016-11-02 0.00007931
2016-11-01 0.00007951
2016-10-31 0.00007926
2016-10-30 0.00007946
2016-10-29 0.00007950
2016-10-28 0.00007951
2016-10-27 0.00007863
2016-10-26 0.00007874
2016-10-25 0.00007894
2016-10-24 0.00007879
2016-10-23 0.00007891
2016-10-22 0.00007888
2016-10-21 0.00007889
2016-10-20 0.00007871
2016-10-19 0.00007918
2016-10-18 0.00007917
2016-10-17 0.00007921
2016-10-16 0.00007833
2016-10-15 0.00007833
2016-10-14 0.00007833
2016-10-13 0.00007871
2016-10-12 0.00007857
2016-10-11 0.00007861
2016-10-10 0.00007888
2016-10-09 0.00007922
2016-10-08 0.00007929
2016-10-07 0.00007928
2016-10-06 0.00007873
2016-10-05 0.00007907
2016-10-04 0.00007939
2016-10-03 0.00007897
2016-10-02 0.00007955
2016-10-01 0.00007960
2016-09-30 0.00007960
2016-09-29 0.00007913
2016-09-28 0.00007911
2016-09-27 0.00007916
2016-09-26 0.00007904
2016-09-25 0.00007921
2016-09-24 0.00007916
2016-09-23 0.00007916
2016-09-22 0.00007933
2016-09-21 0.00007955
2016-09-20 0.00007895
2016-09-19 0.00007934
2016-09-18 0.00007852
2016-09-17 0.00007851
2016-09-16 0.00007851
2016-09-15 0.00007898
2016-09-14 0.00007916
2016-09-13 0.00007882
2016-09-12 0.00007904
2016-09-11 0.00007888
2016-09-10 0.00007882
2016-09-09 0.00007882
2016-09-08 0.00007900
2016-09-07 0.00007959
2016-09-06 0.00007987
2016-09-05 0.00007882
2016-09-04 0.00007886
2016-09-03 0.00007902
2016-09-02 0.00007902
2016-09-01 0.00007958
2016-08-31 0.00007895
2016-08-30 0.00007888
2016-08-29 0.00007918
2016-08-28 0.00007848
2016-08-27 0.00007849
2016-08-26 0.00007849
2016-08-25 0.00007914
2016-08-24 0.00007903
2016-08-23 0.00007920
2016-08-22 0.00007915
2016-08-21 0.00007932
2016-08-20 0.00007941
2016-08-19 0.00007940
2016-08-18 0.00007963
2016-08-17 0.00008112
2016-08-16 0.00008123
2016-08-15 0.00007916
2016-08-14 0.00008038
2016-08-13 0.00008036
2016-08-12 0.00007893
2016-08-11 0.00008022
2016-08-10 0.00008085
2016-08-09 0.00007921
2016-08-08 0.00007840
2016-08-07 0.00007827
2016-08-06 0.00007945
2016-08-05 0.00007945
2016-08-04 0.00007918
2016-08-03 0.00007908
2016-08-02 0.00008072
2016-08-01 0.00007955
2016-07-31 0.00008072
2016-07-30 0.00007991
2016-07-29 0.00007950
2016-07-28 0.00008035
2016-07-27 0.00008010
2016-07-26 0.00007963
2016-07-25 0.00007946
2016-07-24 0.00007914
2016-07-23 0.00007952
2016-07-22 0.00007952
2016-07-21 0.00007965
2016-07-20 0.00007927
2016-07-19 0.00007938
2016-07-18 0.00007956
2016-07-17 0.00007888
2016-07-16 0.00007834
2016-07-15 0.00007834
2016-07-14 0.00007900
2016-07-13 0.00007931
2016-07-12 0.00007875
2016-07-11 0.00007891
2016-07-10 0.00007867
2016-07-09 0.00007865
2016-07-08 0.00007866
2016-07-07 0.00007878
2016-07-06 0.00007828
2016-07-05 0.00007829
2016-07-04 0.00007869
2016-06-24 0.00007577
2016-06-23 0.00007824
2016-06-22 0.00007772
2016-06-21 0.00007788
2016-06-20 0.00007793
2016-06-19 0.00007720
2016-06-18 0.00007810
2016-06-17 0.00007859
2016-06-16 0.00007794
2016-06-15 0.00007808
2016-06-14 0.00007768
2016-06-13 0.00007768
2016-06-12 0.00007767
2016-06-11 0.00007767
2016-06-10 0.00007776
2016-06-09 0.00007780
2016-06-08 0.00007763
2016-06-07 0.00007732
2016-06-06 0.00007743
2016-06-05 0.00007711
2016-06-04 0.00007669
2016-06-03 0.00007492
2016-06-02 0.00007666
2016-06-01 0.00007795
2016-05-31 0.00007706
2016-05-30 0.00007632
2016-05-29 0.00007583
2016-05-28 0.00007584
2016-05-27 0.00007580
2016-05-26 0.00007564
2016-05-25 0.00007563
2016-05-24 0.00007672
2016-05-23 0.00007733
2016-05-22 0.00007704
2016-05-21 0.00007720
2016-05-20 0.00007559
2016-05-19 0.00007583
2016-05-18 0.00007692
2016-05-17 0.00007724
2016-05-16 0.00007653
2016-05-15 0.00007651
2016-05-14 0.00007645
2016-05-13 0.00007703
2016-05-12 0.00007715
2016-05-11 0.00007709
2016-05-10 0.00007736
2016-05-09 0.00007671
2016-05-08 0.00007667
2016-05-07 0.00007669
2016-05-06 0.00007700
2016-05-05 0.00007705
2016-05-04 0.00007727
2016-05-03 0.00007739
2016-05-02 0.00007624
2016-05-01 0.00007618
2016-04-30 0.00007617
2016-04-29 0.00007657
2016-04-28 0.00007676
2016-04-27 0.00007662
2016-04-26 0.00007709
2016-04-25 0.00007758
2016-04-24 0.00007769
2016-04-23 0.00007770
2016-04-22 0.00007756
2016-04-21 0.00007779
2016-04-20 0.00007781
2016-04-19 0.00007763
2016-04-18 0.00007781
2016-04-17 0.00007770
2016-04-16 0.00007761
2016-04-15 0.00007762
2016-04-14 0.00007728
2016-04-13 0.00007722
2016-04-12 0.00007776
2016-04-11 0.00007773
2016-04-10 0.00007779
2016-04-09 0.00007777
2016-04-08 0.00007790
2016-04-07 0.00007744
2016-04-06 0.00007790
2016-04-05 0.00007799
2016-04-04 0.00007789
2016-04-03 0.00007818
2016-04-02 0.00007826
2016-04-01 0.00007828
2016-03-31 0.00007831
2016-03-30 0.00007845
2016-03-29 0.00007850
2016-03-28 0.00007830
2016-03-27 0.00007817
2016-03-26 0.00007818
2016-03-25 0.00007820
2016-03-24 0.00007818
2016-03-23 0.00007823
2016-03-22 0.00007854
2016-03-21 0.00007874
2016-03-20 0.00007874
2016-03-19 0.00007865
2016-03-18 0.00007851
2016-03-17 0.00007871
2016-03-16 0.00007846
2016-03-15 0.00007885
2016-03-14 0.00007894
2016-03-13 0.00007909
2016-03-12 0.00007916
2016-03-11 0.00008023
2016-03-10 0.00007938
2016-03-09 0.00007919
2016-03-08 0.00007956
2016-03-07 0.00007933
2016-03-06 0.00007935
2016-03-05 0.00007935
2016-03-04 0.00007915
2016-03-03 0.00007866
2016-03-02 0.00007852
2016-03-01 0.00007930
2016-02-29 0.00007861
2016-02-28 0.00007874
2016-02-27 0.00007833
2016-02-26 0.00007877
2016-02-25 0.00007873
2016-02-24 0.00007854
2016-02-23 0.00007815
2016-02-22 0.00007797
2016-02-21 0.00007767
2016-02-20 0.00007767
2016-02-19 0.00007825
2016-02-18 0.00007820
2016-02-17 0.00007821
2016-02-16 0.00007833
2016-02-15 0.00007880
2016-02-14 0.00007886
2016-02-13 0.00007886
2016-02-12 0.00007832
2016-02-11 0.00007772
2016-02-10 0.00007834
2016-02-09 0.00007920
2016-02-08 0.00007884
2016-02-07 0.00007885
2016-02-06 0.00007884
2016-02-05 0.00007882
2016-02-04 0.00007946
2016-02-03 0.00007947
2016-02-02 0.00007885
2016-02-01 0.00007896
2016-01-31 0.00007897
2016-01-30 0.00007874
2016-01-29 0.00007936
2016-01-28 0.00007928
2016-01-27 0.00007935
2016-01-26 0.00007881
2016-01-25 0.00007872
2016-01-24 0.00007891
2016-01-23 0.00007892
2016-01-22 0.00007885
2016-01-21 0.00007845
2016-01-20 0.00007909
2016-01-19 0.00007886
2016-01-18 0.00007913
2016-01-17 0.00007912
2016-01-16 0.00007911
2016-01-15 0.00007895
2016-01-14 0.00007947
2016-01-13 0.00007942
2016-01-12 0.00007908
2016-01-11 0.00007868
2016-01-10 0.00007841
2016-01-09 0.00007864
2016-01-08 0.00007871
2016-01-07 0.00007913
2016-01-06 0.00007874
2016-01-05 0.00007818
2016-01-04 0.00007871
2016-01-03 0.00007869
2016-01-02 0.00007869
2016-01-01 0.00007868
2015-12-31 0.00007904
2015-12-30 0.00007892
2015-12-29 0.00007910
2015-12-28 0.00007924
2015-12-27 0.00007927
2015-12-26 0.00007918
2015-12-25 0.00007918
2015-12-24 0.00007928
2015-12-23 0.00007873
2015-12-22 0.00007900
2015-12-21 0.00007811
2015-12-20 0.00007811
2015-12-19 0.00007810
2015-12-18 0.00007885
2015-12-17 0.00007883
2015-12-16 0.00007886
2015-12-15 0.00007886
2015-12-14 0.00007920
2015-12-13 0.00007926
2015-12-12 0.00007925
2015-12-11 0.00007913
2015-12-10 0.00007947
2015-12-09 0.00007946
2015-12-08 0.00007954
2015-12-07 0.00007893
2015-12-06 0.00007891
2015-12-05 0.00007940
2015-12-04 0.00007975
2015-12-03 0.00007962
2015-12-02 0.00007965
2015-12-01 0.00007896
2015-11-30 0.00007963
2015-11-29 0.00007966