Turkmenistani manat to Djiboutian franc Converter

TMM
DJF

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Is it the right time to change your currencies?

The best day to change Turkmenistani manat in Djiboutian franc was the Wednesday, 17 August 2016. At that time the currency had reached its highest value.

10000 Turkmenistani manat = 98.71 Djiboutian franc

The worst day to change Turkmenistani manat in Djiboutian franc was the Monday, 14 November 2016. The exchange rate had fallen to its lowest value.

10000 Turkmenistani manat = 98.71 Djiboutian franc

Graphic Turkmenistani manat / Djiboutian franc

Turkmenistani manat to Djiboutian franc conversion table

100 turkmenistani manat = 1.01 DJF
200 turkmenistani manat = 2.02 DJF
300 turkmenistani manat = 3.03 DJF
400 turkmenistani manat = 4.04 DJF
500 turkmenistani manat = 5.05 DJF
600 turkmenistani manat = 6.06 DJF
700 turkmenistani manat = 7.07 DJF
800 turkmenistani manat = 8.08 DJF
900 turkmenistani manat = 9.08 DJF
1 000 turkmenistani manat = 10.09 DJF
1 500 turkmenistani manat = 15.14 DJF
2 000 turkmenistani manat = 20.19 DJF
2 500 turkmenistani manat = 25.24 DJF
3 000 turkmenistani manat = 30.28 DJF
4 000 turkmenistani manat = 40.38 DJF
5 000 turkmenistani manat = 50.47 DJF
6 000 turkmenistani manat = 60.56 DJF
7 000 turkmenistani manat = 70.66 DJF
8 000 turkmenistani manat = 80.75 DJF
9 000 turkmenistani manat = 90.85 DJF
10 000 turkmenistani manat = 100.94 DJF

currency of Turkmenistan

currency of Djibouti

Converter Turkmenistani manat / Djiboutian franc

2016-12-05 ► 1 TMM = 0.010246 DJF ► Converter Turkmenistani manat Djiboutian franc . Free online currency conversion based on exchange rates. Currency converter

How to use the converter?

The Turkmenistani manat and Djiboutian franc parity obtained here was updated on the 2016-12-05

1 TMM = 0.010246 DJF

You can change the currencies in the form.

Historical Turkmenistani manat / Djiboutian franc

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

The maximum was reached on Wednesday, 17 August 2016

  • 1 Turkmenistani manat = 0.010396204428167 Djiboutian franc

the minimum on Monday, 14 November 2016

  • 1 Turkmenistani manat = 0.0098711621382929 Djiboutian franc
date  
2016-12-05 0.010246
2016-12-04 0.010100
2016-12-03 0.010226
2016-12-02 0.010226
2016-12-01 0.010218
2016-11-30 0.010149
2016-11-29 0.010247
2016-11-28 0.010197
2016-11-27 0.010165
2016-11-26 0.010190
2016-11-25 0.010159
2016-11-24 0.010128
2016-11-23 0.010140
2016-11-22 0.010194
2016-11-21 0.010156
2016-11-20 0.010070
2016-11-19 0.010072
2016-11-18 0.010072
2016-11-17 0.010125
2016-11-16 0.009918
2016-11-15 0.009927
2016-11-14 0.009871
2016-11-13 0.009917
2016-11-12 0.009933
2016-11-11 0.009934
2016-11-10 0.009962
2016-11-09 0.010000
2016-11-08 0.009949
2016-11-07 0.010096
2016-11-06 0.010080
2016-11-05 0.010139
2016-11-04 0.010139
2016-11-03 0.010115
2016-11-02 0.010077
2016-11-01 0.010115
2016-10-31 0.010003
2016-10-30 0.009989
2016-10-29 0.009993
2016-10-28 0.009995
2016-10-27 0.009939
2016-10-26 0.009950
2016-10-25 0.009983
2016-10-24 0.010011
2016-10-23 0.010027
2016-10-22 0.010024
2016-10-21 0.010025
2016-10-20 0.009944
2016-10-19 0.009996
2016-10-18 0.010076
2016-10-17 0.010009
2016-10-16 0.010043
2016-10-15 0.010042
2016-10-14 0.010042
2016-10-13 0.010092
2016-10-12 0.010084
2016-10-11 0.009995
2016-10-10 0.010010
2016-10-09 0.010060
2016-10-08 0.010068
2016-10-07 0.010068
2016-10-06 0.010011
2016-10-05 0.010065
2016-10-04 0.010180
2016-10-03 0.010077
2016-10-02 0.010220
2016-10-01 0.010226
2016-09-30 0.010227
2016-09-29 0.010104
2016-09-28 0.010106
2016-09-27 0.010206
2016-09-26 0.010102
2016-09-25 0.010189
2016-09-24 0.010182
2016-09-23 0.010183
2016-09-22 0.010153
2016-09-21 0.010158
2016-09-20 0.010056
2016-09-19 0.010188
2016-09-18 0.010094
2016-09-17 0.010094
2016-09-16 0.010094
2016-09-15 0.010168
2016-09-14 0.010100
2016-09-13 0.010068
2016-09-12 0.010091
2016-09-11 0.010116
2016-09-10 0.010108
2016-09-09 0.010108
2016-09-08 0.010149
2016-09-07 0.010202
2016-09-06 0.010203
2016-09-05 0.010047
2016-09-04 0.010054
2016-09-03 0.010115
2016-09-02 0.010115
2016-09-01 0.010184
2016-08-31 0.010115
2016-08-30 0.010102
2016-08-29 0.010163
2016-08-28 0.010065
2016-08-27 0.010066
2016-08-26 0.010066
2016-08-25 0.010199
2016-08-24 0.010185
2016-08-23 0.010189
2016-08-22 0.010192
2016-08-21 0.010185
2016-08-20 0.010196
2016-08-19 0.010194
2016-08-18 0.010188
2016-08-17 0.010396
2016-08-16 0.010384
2016-08-15 0.010091
2016-08-14 0.010283
2016-08-13 0.010279
2016-08-12 0.010097
2016-08-11 0.010257
2016-08-10 0.010272
2016-08-09 0.010070
2016-08-08 0.010072
2016-08-07 0.010023
2016-08-06 0.010174
2016-08-05 0.010173
2016-08-04 0.010096
2016-08-03 0.010127
2016-08-02 0.010290
2016-08-01 0.010103
2016-07-31 0.010246
2016-07-30 0.010243
2016-07-29 0.010190
2016-07-28 0.010161
2016-07-27 0.010139
2016-07-26 0.010163
2016-07-25 0.010057
2016-07-24 0.010012
2016-07-23 0.010016
2016-07-22 0.010017
2016-07-21 0.010075
2016-07-20 0.010106
2016-07-19 0.010113
2016-07-18 0.010135
2016-07-17 0.010064
2016-07-16 0.010059
2016-07-15 0.010064
2016-07-14 0.010087
2016-07-13 0.010137
2016-07-12 0.010132
2016-07-11 0.010142
2016-07-10 0.010125
2016-07-09 0.010150
2016-07-08 0.010151
2016-07-07 0.010122
2016-07-06 0.010139
2016-07-05 0.010103
2016-07-04 0.010146
2016-06-24 0.009938
2016-06-23 0.010181
2016-06-22 0.010201
2016-06-21 0.010144
2016-06-20 0.010154
2016-06-19 0.010184
2016-06-18 0.010190
2016-06-17 0.010251
2016-06-16 0.010182
2016-06-15 0.010168
2016-06-14 0.010152
2016-06-13 0.010134
2016-06-12 0.010138
2016-06-11 0.010137
2016-06-10 0.010121
2016-06-09 0.010150
2016-06-08 0.010177
2016-06-07 0.010179
2016-06-06 0.010227
2016-06-05 0.010236
2016-06-04 0.010214
2016-06-03 0.010161
2016-06-02 0.010158
2016-06-01 0.010147
2016-05-31 0.010158
2016-05-30 0.010141
2016-05-29 0.010132
2016-05-28 0.010132
2016-05-27 0.010158
2016-05-26 0.010147
2016-05-25 0.010136
2016-05-24 0.010134
2016-05-23 0.010153
2016-05-22 0.010166
2016-05-21 0.010146
2016-05-20 0.010141
2016-05-19 0.010125
2016-05-18 0.010143
2016-05-17 0.010142
2016-05-16 0.010130
2016-05-15 0.010110
2016-05-14 0.010108
2016-05-13 0.010126
2016-05-12 0.010125
2016-05-11 0.010135
2016-05-10 0.010144
2016-05-09 0.010112
2016-05-08 0.010117
2016-05-07 0.010110
2016-05-06 0.010106
2016-05-05 0.010116
2016-05-04 0.010117
2016-05-03 0.010208
2016-05-02 0.010201
2016-05-01 0.010196
2016-04-30 0.010195
2016-04-29 0.010160
2016-04-28 0.010164
2016-04-27 0.010151
2016-04-26 0.010141
2016-04-25 0.010133
2016-04-24 0.010130
2016-04-23 0.010126
2016-04-22 0.010121
2016-04-21 0.010143
2016-04-20 0.010169
2016-04-19 0.010163
2016-04-18 0.010165
2016-04-17 0.010155
2016-04-16 0.010162
2016-04-15 0.010151
2016-04-14 0.010143
2016-04-13 0.010147
2016-04-12 0.010164
2016-04-11 0.010170
2016-04-10 0.010161
2016-04-09 0.010159
2016-04-08 0.010148
2016-04-07 0.010162
2016-04-06 0.010149
2016-04-05 0.010129
2016-04-04 0.010119
2016-04-03 0.010167
2016-04-02 0.010166
2016-04-01 0.010180
2016-03-31 0.010175
2016-03-30 0.010204
2016-03-29 0.010174
2016-03-28 0.010126
2016-03-27 0.010125
2016-03-26 0.010127
2016-03-25 0.010128
2016-03-24 0.010152
2016-03-23 0.010157
2016-03-22 0.010194
2016-03-21 0.010199
2016-03-20 0.010200
2016-03-19 0.010199
2016-03-18 0.010176
2016-03-17 0.010204
2016-03-16 0.010172
2016-03-15 0.010169
2016-03-14 0.010196
2016-03-13 0.010203
2016-03-12 0.010193
2016-03-11 0.010302
2016-03-10 0.010191
2016-03-09 0.010174
2016-03-08 0.010194
2016-03-07 0.010181
2016-03-06 0.010185
2016-03-05 0.010185
2016-03-04 0.010158
2016-03-03 0.010144
2016-03-02 0.010143
2016-03-01 0.010142
2016-02-29 0.010120
2016-02-28 0.010135
2016-02-27 0.010096
2016-02-26 0.010131
2016-02-25 0.010138
2016-02-24 0.010137
2016-02-23 0.010149
2016-02-22 0.010170
2016-02-21 0.010130
2016-02-20 0.010130
2016-02-19 0.010125
2016-02-18 0.010118
2016-02-17 0.010120
2016-02-16 0.010116
2016-02-15 0.010171
2016-02-14 0.010181
2016-02-13 0.010180
2016-02-12 0.010185
2016-02-11 0.010176
2016-02-10 0.010191
2016-02-09 0.010231
2016-02-08 0.010195
2016-02-07 0.010195
2016-02-06 0.010195
2016-02-05 0.010178
2016-02-04 0.010201
2016-02-03 0.010154
2016-02-02 0.010149
2016-02-01 0.010123
2016-01-31 0.010125
2016-01-30 0.010109
2016-01-29 0.010166
2016-01-28 0.010151
2016-01-27 0.010153
2016-01-26 0.010157
2016-01-25 0.010139
2016-01-24 0.010153
2016-01-23 0.010154
2016-01-22 0.010138
2016-01-21 0.010144
2016-01-20 0.010168
2016-01-19 0.010151
2016-01-18 0.010160
2016-01-17 0.010156
2016-01-16 0.010154
2016-01-15 0.010146
2016-01-14 0.010180
2016-01-13 0.010159
2016-01-12 0.010133
2016-01-11 0.010177
2016-01-10 0.010157
2016-01-09 0.010170
2016-01-08 0.010165
2016-01-07 0.010143
2016-01-06 0.010144
2016-01-05 0.010125
2016-01-04 0.010125
2016-01-03 0.010133
2016-01-02 0.010132
2016-01-01 0.010129
2015-12-31 0.010147
2015-12-30 0.010137
2015-12-29 0.010163
2015-12-28 0.010166
2015-12-27 0.010174
2015-12-26 0.010170
2015-12-25 0.010151
2015-12-24 0.010141
2015-12-23 0.010139
2015-12-22 0.010148
2015-12-21 0.010145
2015-12-20 0.010145
2015-12-19 0.010166
2015-12-18 0.010144
2015-12-17 0.010132
2015-12-16 0.010132
2015-12-15 0.010160
2015-12-14 0.010173
2015-12-13 0.010168
2015-12-12 0.010168
2015-12-11 0.010157
2015-12-10 0.010192
2015-12-09 0.010154
2015-12-08 0.010158
2015-12-07 0.010117
2015-12-06 0.010120
2015-12-05 0.010164
2015-12-04 0.010270
2015-12-03 0.010150
2015-12-02 0.010162
2015-12-01 0.010151
2015-11-30 0.010163
2015-11-29 0.010144
2015-11-28 0.010143