Conversion Roupie indienne Euro

₹

€

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Quand échanger des roupies indiennes en euros ?

La période idéale pour convertir des roupies indiennes en euros sur les 12 derniers mois était le mercredi, 18 novembre 2015. A cette période la roupie indienne avait atteint son plus haut face à l'euro vous auriez avec 10000 roupies indiennes récupéré dans un bureau de change 142.14 euros

A l'inverse, le pire moment pour changer des roupies indiennes en euros était le vendredi, 12 février 2016. Le cours de la roupie indienne avait touché son niveau le plus bas contre l'euro vous auriez obtenu en échange de 10000 roupies indiennes un montant de 129.49 euros

Graphique Roupie indienne / Euro

Tableau de conversion roupies indiennes en euros

100 roupies indiennes = 1.33 €
200 roupies indiennes = 2.67 €
300 roupies indiennes = 4.00 €
400 roupies indiennes = 5.34 €
500 roupies indiennes = 6.67 €
600 roupies indiennes = 8.01 €
700 roupies indiennes = 9.34 €

800 roupies indiennes = 10.68 €
900 roupies indiennes = 12.01 €
1 000 roupies indiennes = 13.35 €
1 500 roupies indiennes = 20.02 €
2 000 roupies indiennes = 26.69 €
2 500 roupies indiennes = 33.37 €
3 000 roupies indiennes = 40.04 €

4 000 roupies indiennes = 53.39 €
5 000 roupies indiennes = 66.74 €
6 000 roupies indiennes = 80.08 €
7 000 roupies indiennes = 93.43 €
8 000 roupies indiennes = 106.78 €
9 000 roupies indiennes = 120.12 €
10 000 roupies indiennes = 133.47 €

Roupie indienne currency

iso 4217: INR
Inde

Euro currency

iso 4217: EUR
Andorre, Autriche, Belgique, Chypre, Estonie, Europe, Finlande, France, Guyane française, Terres australes françaises, Allemagne, Grèce, Guadeloupe, Irlande, Italie, Lettonie, Luxembourg, Malte, Martinique, Mayotte, Monaco, Monténégro, Pays-Bas, Portugal, Réunion, Saint-Pierre-et-Miquelon, Saint-Marin, Slovaquie, Slovénie, Espagne, État de la Cité du Vatican

Conversion Roupie indienne / Euro

2016-09-26 ► 1 INR = 0.013359 EUR ► Conversion Roupie indienne Euro . Convertisseur de devises basé sur des taux de change actualisés chaque jour. En ligne et gratuit.

Comment utiliser le convertisseur?

La parité Roupie indienne et Euro obtenue ici date du 2016-09-26

1 INR = 0.013359 EUR

Vous pouvez changer les devises par 2 autres devises.

Historique Roupie indienne / Euro

Historique des taux quotidiens INR /EUR depuis le vendredi, 1 janvier 1998.

Le maximum a été atteint le jeudi, 26 octobre 2000

1 Roupie indienne = 0.025876100057704 Euro

le minimum le mercredi, 28 août 2013

1 Roupie indienne = 0.011016928612506 Euro

date
2016-09-26	0.013359
2016-09-25	0.013348
2016-09-24	0.013355
2016-09-23	0.013355
2016-09-22	0.013391
2016-09-21	0.013355
2016-09-20	0.013380
2016-09-19	0.013359
2016-09-18	0.013354
2016-09-17	0.013353
2016-09-16	0.013353
2016-09-15	0.013288
2016-09-14	0.013309
2016-09-13	0.013282
2016-09-12	0.013323
2016-09-11	0.013325
2016-09-10	0.013336
2016-09-09	0.013336
2016-09-08	0.013335
2016-09-07	0.013390
2016-09-06	0.013415
2016-09-05	0.013487
2016-09-04	0.013432
2016-09-03	0.013420
2016-09-02	0.013420
2016-09-01	0.013361
2016-08-31	0.013396
2016-08-30	0.013362
2016-08-29	0.013304
2016-08-28	0.013302
2016-08-27	0.013299
2016-08-26	0.013299
2016-08-25	0.013218
2016-08-24	0.013222
2016-08-23	0.013178
2016-08-22	0.013144
2016-08-21	0.013165
2016-08-20	0.013152
2016-08-19	0.013152
2016-08-18	0.013169
2016-08-17	0.013233
2016-08-16	0.013264
2016-08-15	0.013369
2016-08-14	0.013380
2016-08-13	0.013386
2016-08-12	0.013386
2016-08-11	0.013443
2016-08-10	0.013389
2016-08-09	0.013470
2016-08-08	0.013499
2016-08-07	0.013490
2016-08-06	0.013495
2016-08-05	0.013495
2016-08-04	0.013454
2016-08-03	0.013414
2016-08-02	0.013350
2016-08-01	0.013424
2016-07-31	0.013396
2016-07-30	0.013402
2016-07-29	0.013402
2016-07-28	0.013467
2016-07-27	0.013460
2016-07-26	0.013510
2016-07-25	0.013492
2016-07-24	0.013560
2016-07-23	0.013554
2016-07-22	0.013554
2016-07-21	0.013497
2016-07-20	0.013512
2016-07-19	0.013514
2016-07-18	0.013453
2016-07-17	0.013478
2016-07-16	0.013508
2016-07-15	0.013516
2016-07-14	0.013457
2016-07-13	0.013463
2016-07-12	0.013452
2016-07-11	0.013478
2016-07-10	0.013416
2016-07-09	0.013416
2016-07-08	0.013416
2016-07-07	0.013380
2016-07-06	0.013387
2016-07-05	0.013333
2016-07-04	0.013347
2016-07-03	0.013366
2016-07-02	0.013362
2016-07-01	0.013362
2016-06-30	0.013343
2016-06-29	0.013333
2016-06-28	0.013330
2016-06-27	0.013367
2016-06-26	0.013311
2016-06-25	0.013249
2016-06-24	0.013249
2016-06-23	0.013038
2016-06-22	0.013122
2016-06-21	0.013093
2016-06-20	0.013081
2016-06-19	0.013215
2016-06-18	0.013216
2016-06-17	0.013213
2016-06-16	0.013258
2016-06-15	0.013238
2016-06-14	0.013232
2016-06-13	0.013250
2016-06-12	0.013249
2016-06-11	0.013249
2016-06-10	0.013219
2016-06-09	0.013186
2016-06-08	0.013195
2016-06-07	0.013167
2016-06-06	0.013283
2016-06-05	0.013275
2016-06-04	0.013302
2016-06-03	0.013284
2016-06-02	0.013291
2016-06-01	0.013347
2016-05-31	0.013373
2016-05-30	0.013366
2016-05-29	0.013365
2016-05-28	0.013365
2016-05-27	0.013328
2016-05-26	0.013301
2016-05-25	0.013240
2016-05-24	0.013219
2016-05-23	0.013220
2016-05-22	0.013219
2016-05-21	0.013219
2016-05-20	0.013250
2016-05-19	0.013244
2016-05-18	0.013224
2016-05-17	0.013205
2016-05-16	0.013192
2016-05-15	0.013196
2016-05-14	0.013201
2016-05-13	0.013167
2016-05-12	0.013154
2016-05-11	0.013182
2016-05-10	0.013181
2016-05-09	0.013152
2016-05-08	0.013150
2016-05-07	0.013152
2016-05-06	0.013132
2016-05-05	0.013059
2016-05-04	0.013044
2016-05-03	0.013095
2016-05-02	0.013192
2016-05-01	0.013196
2016-04-30	0.013196
2016-04-29	0.013261
2016-04-28	0.013305
2016-04-27	0.013304
2016-04-26	0.013321
2016-04-25	0.013341
2016-04-24	0.013345
2016-04-23	0.013346
2016-04-22	0.013311
2016-04-21	0.013292
2016-04-20	0.013266
2016-04-19	0.013293
2016-04-18	0.013311
2016-04-17	0.013314
2016-04-16	0.013313
2016-04-15	0.013340
2016-04-14	0.013285
2016-04-13	0.013290
2016-04-12	0.013208
2016-04-11	0.013199
2016-04-10	0.013208
2016-04-09	0.013208
2016-04-08	0.013202
2016-04-07	0.013231
2016-04-06	0.013242
2016-04-05	0.013275
2016-04-04	0.013211
2016-04-03	0.013217
2016-04-02	0.013211
2016-04-01	0.013271
2016-03-31	0.013315
2016-03-30	0.013406
2016-03-29	0.013404
2016-03-28	0.013397
2016-03-27	0.013397
2016-03-26	0.013397
2016-03-25	0.013392
2016-03-24	0.013382
2016-03-23	0.013376
2016-03-22	0.013346
2016-03-21	0.013345
2016-03-20	0.013347
2016-03-19	0.013347
2016-03-18	0.013275
2016-03-17	0.013402
2016-03-16	0.013374
2016-03-15	0.013408
2016-03-14	0.013412
2016-03-13	0.013407
2016-03-12	0.013406
2016-03-11	0.013564
2016-03-10	0.013542
2016-03-09	0.013486
2016-03-08	0.013584
2016-03-07	0.013583
2016-03-06	0.013581
2016-03-05	0.013581
2016-03-04	0.013632
2016-03-03	0.013630
2016-03-02	0.013539
2016-03-01	0.013411
2016-02-29	0.013237
2016-02-28	0.013223
2016-02-27	0.013237
2016-02-26	0.013198
2016-02-25	0.013269
2016-02-24	0.013240
2016-02-23	0.013200
2016-02-22	0.013125
2016-02-21	0.013130
2016-02-20	0.013130
2016-02-19	0.013153
2016-02-18	0.013112
2016-02-17	0.013110
2016-02-16	0.013100
2016-02-15	0.012989
2016-02-14	0.012982
2016-02-13	0.012981
2016-02-12	0.012949
2016-02-11	0.013071
2016-02-10	0.013065
2016-02-09	0.013222
2016-02-08	0.013199
2016-02-07	0.013199
2016-02-06	0.013199
2016-02-05	0.013203
2016-02-04	0.013404
2016-02-03	0.013487
2016-02-02	0.013547
2016-02-01	0.013503
2016-01-31	0.013503
2016-01-30	0.013518
2016-01-29	0.013449
2016-01-28	0.013501
2016-01-27	0.013600
2016-01-26	0.013637
2016-01-25	0.013673
2016-01-24	0.013666
2016-01-23	0.013666
2016-01-22	0.013525
2016-01-21	0.013501
2016-01-20	0.013580
2016-01-19	0.013572
2016-01-18	0.013554
2016-01-17	0.013556
2016-01-16	0.013556
2016-01-15	0.013667
2016-01-14	0.013794
2016-01-13	0.013783
2016-01-12	0.013752
2016-01-11	0.013763
2016-01-10	0.013779
2016-01-09	0.013767
2016-01-08	0.013758
2016-01-07	0.013927
2016-01-06	0.013968
2016-01-05	0.013828
2016-01-04	0.013867
2016-01-03	0.013859
2016-01-02	0.013859
2016-01-01	0.013859
2015-12-31	0.013782
2015-12-30	0.013780
2015-12-29	0.013793
2015-12-28	0.013814
2015-12-27	0.013809
2015-12-26	0.013809
2015-12-25	0.013817
2015-12-24	0.013840
2015-12-23	0.013790
2015-12-22	0.013864
2015-12-21	0.013888
2015-12-20	0.013888
2015-12-19	0.013888
2015-12-18	0.013887
2015-12-17	0.013722
2015-12-16	0.013613
2015-12-15	0.013571
2015-12-14	0.013626
2015-12-13	0.013626
2015-12-12	0.013627
2015-12-11	0.013665
2015-12-10	0.013648
2015-12-09	0.013759
2015-12-08	0.013846
2015-12-07	0.013742
2015-12-06	0.013740
2015-12-05	0.013732
2015-12-04	0.013946
2015-12-03	0.014156
2015-12-02	0.014180
2015-12-01	0.014179
2015-11-30	0.014155
2015-11-29	0.014161
2015-11-28	0.014162
2015-11-27	0.014172
2015-11-26	0.014199
2015-11-25	0.014159
2015-11-24	0.014185
2015-11-23	0.014148
2015-11-22	0.014156
2015-11-21	0.014156
2015-11-20	0.014127
2015-11-19	0.014182
2015-11-18	0.014214
2015-11-17	0.014140
2015-11-16	0.014060
2015-11-15	0.014045
2015-11-14	0.014046
2015-11-13	0.014047
2015-11-12	0.013995
2015-11-11	0.014058
2015-11-10	0.014073
2015-11-09	0.014014
2015-11-08	0.014108
2015-11-07	0.014112
2015-11-06	0.014121
2015-11-05	0.013969
2015-11-04	0.014036
2015-11-03	0.013913
2015-11-02	0.013856
2015-11-01	0.013878
2015-10-31	0.013898
2015-10-30	0.013901
2015-10-29	0.013928
2015-10-28	0.014065
2015-10-27	0.013927
2015-10-26	0.013928
2015-10-25	0.013978
2015-10-24	0.013975
2015-10-23	0.013966
2015-10-22	0.013854
2015-10-21	0.013544
2015-10-20	0.013560
2015-10-19	0.013603
2015-10-18	0.013608
2015-10-17	0.013610
2015-10-16	0.013611
2015-10-15	0.013556
2015-10-14	0.013435
2015-10-13	0.013504
2015-10-12	0.013596
2015-10-11	0.013593
2015-10-10	0.013600
2015-10-09	0.013590
2015-10-08	0.013643
2015-10-07	0.013691
2015-10-06	0.013611
2015-10-05	0.013708
2015-10-04	0.013654
2015-10-03	0.013653
2015-10-02	0.013651
2015-10-01	0.013617
2015-09-30	0.013624
2015-09-29	0.013465
2015-09-28	0.013431