Malaysian Ringgit MYR 2013 Conversion Rates
- Opening Value is 3.057178 MYR per Dollar
- Closing Value is 3.281062 MYR per Dollar
- Change in Value during 2013 is 0.2239 which is 7.32%
- Best Performance is on 2013-05-08 with 2.966102 MYR per Dollar
- Lowest Performance is on 2013-08-28 with 3.333362 MYR per Dollar
- Average Value is 3.1502 MYR per Dollar
- Swing Between the higest and the lowest is 0.3673 per Dollar, that is 12.01% compared to the opening value.
USD to MYR Conversion Rates – 12 months
| Date | 1 USD = |
|---|---|
| 2013-12-31 | 3.2811 MYR |
| 2013-11-30 | 3.2263 MYR |
| 2013-10-31 | 3.1550 MYR |
| 2013-09-30 | 3.2472 MYR |
| 2013-08-31 | 3.2871 MYR |
| 2013-07-31 | 3.2427 MYR |
| 2013-06-30 | 3.1623 MYR |
| 2013-05-31 | 3.0890 MYR |
| 2013-04-30 | 3.0389 MYR |
| 2013-03-31 | 3.0965 MYR |
| 2013-02-28 | 3.0932 MYR |
| 2013-01-31 | 3.1016 MYR |
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December, 2013
01 3.2268
02 3.2127
↗0.014, 0.44%
03 3.2155
↘0.003, 0.09%
04 3.2225
↘0.007, 0.22%
05 3.2190
↗0.004, 0.11%
06 3.2279
↘0.009, 0.28%
07 3.2280
↘0.000, 0.00%
08 3.2276
↗0.000, 0.01%
09 3.2102
↗0.017, 0.54%
10 3.2078
↗0.002, 0.08%
11 3.2114
↘0.004, 0.11%
12 3.2290
↘0.018, 0.55%
13 3.2311
↘0.002, 0.06%
14 3.2330
↘0.002, 0.06%
15 3.2322
↗0.001, 0.02%
16 3.2402
↘0.008, 0.24%
17 3.2448
↘0.005, 0.14%
18 3.2593
↘0.014, 0.44%
19 3.2713
↘0.012, 0.37%
20 3.2856
↘0.014, 0.44%
21 3.2874
↘0.002, 0.05%
22 3.2894
↘0.002, 0.06%
23 3.2899
↘0.000, 0.01%
24 3.2943
↘0.004, 0.14%
25 3.2953
↘0.001, 0.03%
26 3.2967
↘0.001, 0.04%
27 3.2956
↗0.001, 0.03%
28 3.2941
↗0.002, 0.05%
29 3.2927
↗0.001, 0.04%
30 3.2919
↗0.001, 0.02%
31 3.2811
↗0.011, 0.33%
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November, 2013
01 3.1693
02 3.1718
↘0.002, 0.08%
03 3.1740
↘0.002, 0.07%
04 3.1738
↗0.000, 0.01%
05 3.1735
↗0.000, 0.01%
06 3.1785
↘0.005, 0.16%
07 3.1834
↘0.005, 0.15%
08 3.1800
↗0.003, 0.11%
09 3.1802
↘0.000, 0.01%
10 3.1852
↘0.005, 0.16%
11 3.1973
↘0.012, 0.38%
12 3.2081
↘0.011, 0.34%
13 3.2108
↘0.003, 0.09%
14 3.2059
↗0.005, 0.15%
15 3.2035
↗0.002, 0.07%
16 3.2035
↗0.000, 0.00%
17 3.1998
↗0.004, 0.12%
18 3.1885
↗0.011, 0.35%
19 3.1807
↗0.008, 0.24%
20 3.1816
↘0.001, 0.03%
21 3.2007
↘0.019, 0.60%
22 3.2126
↘0.012, 0.37%
23 3.2149
↘0.002, 0.07%
24 3.2165
↘0.002, 0.05%
25 3.2180
↘0.002, 0.05%
26 3.2176
↗0.000, 0.01%
27 3.2214
↘0.004, 0.12%
28 3.2280
↘0.007, 0.20%
29 3.2250
↗0.003, 0.09%
30 3.2263
↘0.001, 0.04%
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October, 2013
01 3.2352
02 3.2286
↗0.007, 0.20%
03 3.2052
↗0.023, 0.72%
04 3.1851
↗0.020, 0.63%
05 3.1825
↗0.003, 0.08%
06 3.1845
↘0.002, 0.06%
07 3.1896
↘0.005, 0.16%
08 3.1933
↘0.004, 0.11%
09 3.1978
↘0.005, 0.14%
10 3.1931
↗0.005, 0.15%
11 3.1824
↗0.011, 0.34%
12 3.1801
↗0.002, 0.07%
13 3.1803
↘0.000, 0.01%
14 3.1817
↘0.001, 0.04%
15 3.1772
↗0.005, 0.14%
16 3.1743
↗0.003, 0.09%
17 3.1529
↗0.021, 0.67%
18 3.1556
↘0.003, 0.08%
19 3.1557
↘0.000, 0.00%
20 3.1575
↘0.002, 0.06%
21 3.1675
↘0.010, 0.32%
22 3.1720
↘0.005, 0.14%
23 3.1679
↗0.004, 0.13%
24 3.1605
↗0.007, 0.23%
25 3.1529
↗0.008, 0.24%
26 3.1488
↗0.004, 0.13%
27 3.1478
↗0.001, 0.03%
28 3.1368
↗0.011, 0.35%
29 3.1450
↘0.008, 0.26%
30 3.1486
↘0.004, 0.12%
31 3.1550
↘0.006, 0.20%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
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September, 2013
01 3.2887
02 3.2762
↗0.013, 0.38%
03 3.2831
↘0.007, 0.21%
04 3.2829
↗0.000, 0.01%
05 3.3025
↘0.020, 0.60%
06 3.3231
↘0.021, 0.62%
07 3.3231
→0.000, 0.00%
08 3.3232
↘0.000, 0.00%
09 3.2955
↗0.028, 0.83%
10 3.2821
↗0.013, 0.41%
11 3.2645
↗0.018, 0.54%
12 3.2758
↘0.011, 0.34%
13 3.2870
↘0.011, 0.34%
14 3.2899
↘0.003, 0.09%
15 3.2837
↗0.006, 0.19%
16 3.2807
↗0.003, 0.09%
17 3.2531
↗0.028, 0.84%
18 3.2374
↗0.016, 0.48%
19 3.1630
↗0.074, 2.30%
20 3.1647
↘0.002, 0.05%
21 3.1647
↘0.000, 0.00%
22 3.1649
↘0.000, 0.00%
23 3.1937
↘0.029, 0.91%
24 3.2108
↘0.017, 0.54%
25 3.2207
↘0.010, 0.31%
26 3.2179
↗0.003, 0.09%
27 3.2251
↘0.007, 0.22%
28 3.2264
↘0.001, 0.04%
29 3.2297
↘0.003, 0.10%
30 3.2472
↘0.017, 0.54%
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August, 2013
01 3.2432
02 3.2546
↘0.011, 0.35%
03 3.2571
↘0.002, 0.08%
04 3.2512
↗0.006, 0.18%
05 3.2334
↗0.018, 0.55%
06 3.2451
↘0.012, 0.36%
07 3.2520
↘0.007, 0.21%
08 3.2530
↘0.001, 0.03%
09 3.2517
↗0.001, 0.04%
10 3.2517
↗0.000, 0.00%
11 3.2524
↘0.001, 0.02%
12 3.2501
↗0.002, 0.07%
13 3.2572
↘0.007, 0.22%
14 3.2716
↘0.014, 0.44%
15 3.2764
↘0.005, 0.14%
16 3.2768
↘0.000, 0.01%
17 3.2769
↘0.000, 0.00%
18 3.2770
↘0.000, 0.00%
19 3.2847
↘0.008, 0.23%
20 3.2873
↘0.003, 0.08%
21 3.2929
↘0.006, 0.17%
22 3.3066
↘0.014, 0.42%
23 3.3023
↗0.004, 0.13%
24 3.3013
↗0.001, 0.03%
25 3.3012
↗0.000, 0.00%
26 3.3060
↘0.005, 0.14%
27 3.3250
↘0.019, 0.58%
28 3.3334
↘0.008, 0.25%
29 3.3162
↗0.017, 0.51%
30 3.2905
↗0.026, 0.78%
31 3.2871
↗0.003, 0.10%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
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data.addColumn(“number”, “Conversion Rate”);
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chart.draw(data, options);
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July, 2013
01 3.1657
02 3.1672
↘0.001, 0.05%
03 3.1823
↘0.015, 0.48%
04 3.1832
↘0.001, 0.03%
05 3.1879
↘0.005, 0.15%
06 3.1888
↘0.001, 0.03%
07 3.1913
↘0.002, 0.08%
08 3.2080
↘0.017, 0.52%
09 3.1906
↗0.017, 0.54%
10 3.1829
↗0.008, 0.24%
11 3.1711
↗0.012, 0.37%
12 3.1742
↘0.003, 0.10%
13 3.1750
↘0.001, 0.02%
14 3.1765
↘0.002, 0.05%
15 3.1870
↘0.011, 0.33%
16 3.1860
↗0.001, 0.03%
17 3.1901
↘0.004, 0.13%
18 3.1927
↘0.003, 0.08%
19 3.1928
↘0.000, 0.00%
20 3.1942
↘0.001, 0.04%
21 3.1937
↗0.000, 0.01%
22 3.1860
↗0.008, 0.24%
23 3.1828
↗0.003, 0.10%
24 3.1869
↘0.004, 0.13%
25 3.1941
↘0.007, 0.23%
26 3.2056
↘0.011, 0.36%
27 3.2077
↘0.002, 0.06%
28 3.2073
↗0.000, 0.01%
29 3.2218
↘0.015, 0.45%
30 3.2284
↘0.007, 0.20%
31 3.2427
↘0.014, 0.44%
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google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
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June, 2013
01 3.0973
02 3.0993
↘0.002, 0.06%
03 3.0987
↗0.001, 0.02%
04 3.0952
↗0.004, 0.12%
05 3.0858
↗0.009, 0.30%
06 3.0836
↗0.002, 0.07%
07 3.0923
↘0.009, 0.28%
08 3.0930
↘0.001, 0.02%
09 3.0994
↘0.006, 0.21%
10 3.1239
↘0.025, 0.79%
11 3.1418
↘0.018, 0.57%
12 3.1344
↗0.007, 0.24%
13 3.1338
↗0.001, 0.02%
14 3.1197
↗0.014, 0.45%
15 3.1163
↗0.003, 0.11%
16 3.1147
↗0.002, 0.05%
17 3.1290
↘0.014, 0.46%
18 3.1495
↘0.020, 0.65%
19 3.1514
↘0.002, 0.06%
20 3.1906
↘0.039, 1.25%
21 3.2011
↘0.010, 0.33%
22 3.2036
↘0.003, 0.08%
23 3.2109
↘0.007, 0.23%
24 3.2200
↘0.009, 0.28%
25 3.1922
↗0.028, 0.86%
26 3.2017
↘0.009, 0.30%
27 3.1799
↗0.022, 0.68%
28 3.1645
↗0.015, 0.48%
29 3.1611
↗0.003, 0.11%
30 3.1623
↘0.001, 0.04%
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google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
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data.addColumn(“number”, “Conversion Rate”);
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May, 2013
01 3.0412
02 3.0463
↘0.005, 0.17%
03 3.0379
↗0.008, 0.27%
04 3.0357
↗0.002, 0.07%
05 3.0344
↗0.001, 0.04%
06 2.9893
↗0.045, 1.49%
07 2.9858
↗0.004, 0.12%
08 2.9661
↗0.020, 0.66%
09 2.9729
↘0.007, 0.23%
10 2.9844
↘0.011, 0.39%
11 2.9864
↘0.002, 0.07%
12 2.9882
↘0.002, 0.06%
13 2.9958
↘0.008, 0.26%
14 2.9895
↗0.006, 0.21%
15 2.9990
↘0.010, 0.32%
16 3.0099
↘0.011, 0.36%
17 3.0196
↘0.010, 0.32%
18 3.0175
↗0.002, 0.07%
19 3.0192
↘0.002, 0.06%
20 3.0156
↗0.004, 0.12%
21 3.0185
↘0.003, 0.10%
22 3.0203
↘0.002, 0.06%
23 3.0312
↘0.011, 0.36%
24 3.0344
↘0.003, 0.10%
25 3.0345
↘0.000, 0.00%
26 3.0368
↘0.002, 0.07%
27 3.0300
↗0.007, 0.22%
28 3.0400
↘0.010, 0.33%
29 3.0718
↘0.032, 1.04%
30 3.0721
↘0.000, 0.01%
31 3.0890
↘0.017, 0.55%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
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chart.draw(data, options);
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var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
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var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_5’));
chart.draw(data, options);
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April, 2013
01 3.0928
02 3.0902
↗0.003, 0.08%
03 3.0825
↗0.008, 0.25%
04 3.0810
↗0.001, 0.05%
05 3.0651
↗0.016, 0.52%
06 3.0619
↗0.003, 0.11%
07 3.0579
↗0.004, 0.13%
08 3.0599
↘0.002, 0.07%
09 3.0400
↗0.020, 0.65%
10 3.0329
↗0.007, 0.23%
11 3.0340
↘0.001, 0.04%
12 3.0407
↘0.007, 0.22%
13 3.0420
↘0.001, 0.04%
14 3.0426
↘0.001, 0.02%
15 3.0412
↗0.001, 0.04%
16 3.0405
↗0.001, 0.02%
17 3.0322
↗0.008, 0.27%
18 3.0340
↘0.002, 0.06%
19 3.0349
↘0.001, 0.03%
20 3.0356
↘0.001, 0.02%
21 3.0357
↘0.000, 0.00%
22 3.0472
↘0.011, 0.38%
23 3.0548
↘0.008, 0.25%
24 3.0501
↗0.005, 0.15%
25 3.0399
↗0.010, 0.33%
26 3.0362
↗0.004, 0.12%
27 3.0347
↗0.002, 0.05%
28 3.0319
↗0.003, 0.09%
29 3.0334
↘0.001, 0.05%
30 3.0389
↘0.006, 0.18%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
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var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
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March, 2013
01 3.0943
02 3.0949
↘0.001, 0.02%
03 3.0958
↘0.001, 0.03%
04 3.1042
↘0.008, 0.27%
05 3.1025
↗0.002, 0.05%
06 3.1044
↘0.002, 0.06%
07 3.1064
↘0.002, 0.06%
08 3.1060
↗0.000, 0.01%
09 3.1059
↗0.000, 0.00%
10 3.1150
↘0.009, 0.29%
11 3.1156
↘0.001, 0.02%
12 3.1095
↗0.006, 0.20%
13 3.1086
↗0.001, 0.03%
14 3.1107
↘0.002, 0.07%
15 3.1197
↘0.009, 0.29%
16 3.1204
↘0.001, 0.02%
17 3.1327
↘0.012, 0.39%
18 3.1274
↗0.005, 0.17%
19 3.1270
↗0.000, 0.01%
20 3.1229
↗0.004, 0.13%
21 3.1218
↗0.001, 0.03%
22 3.1145
↗0.007, 0.23%
23 3.1130
↗0.002, 0.05%
24 3.1100
↗0.003, 0.09%
25 3.1002
↗0.010, 0.31%
26 3.0959
↗0.004, 0.14%
27 3.0995
↘0.004, 0.12%
28 3.0980
↗0.002, 0.05%
29 3.0968
↗0.001, 0.04%
30 3.0965
↗0.000, 0.01%
31 3.0965
↘0.000, 0.00%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
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var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
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February, 2013
01 3.1061
02 3.1043
↗0.002, 0.06%
03 3.1051
↘0.001, 0.02%
04 3.0964
↗0.009, 0.28%
05 3.0924
↗0.004, 0.13%
06 3.0963
↘0.004, 0.13%
07 3.0925
↗0.004, 0.12%
08 3.0978
↘0.005, 0.17%
09 3.0985
↘0.001, 0.02%
10 3.1014
↘0.003, 0.09%
11 3.1017
↘0.000, 0.01%
12 3.0990
↗0.003, 0.09%
13 3.0922
↗0.007, 0.22%
14 3.0902
↗0.002, 0.07%
15 3.0930
↘0.003, 0.09%
16 3.0942
↘0.001, 0.04%
17 3.0934
↗0.001, 0.02%
18 3.0959
↘0.002, 0.08%
19 3.0999
↘0.004, 0.13%
20 3.0976
↗0.002, 0.07%
21 3.1089
↘0.011, 0.36%
22 3.1024
↗0.007, 0.21%
23 3.1017
↗0.001, 0.02%
24 3.0988
↗0.003, 0.09%
25 3.0974
↗0.001, 0.05%
26 3.1011
↘0.004, 0.12%
27 3.1015
↘0.000, 0.01%
28 3.0932
↗0.008, 0.27%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
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January, 2013
01 3.0572
02 3.0407
↗0.016, 0.54%
03 3.0339
↗0.007, 0.22%
04 3.0428
↘0.009, 0.29%
05 3.0454
↘0.003, 0.08%
06 3.0412
↗0.004, 0.14%
07 3.0394
↗0.002, 0.06%
08 3.0430
↘0.004, 0.12%
09 3.0398
↗0.003, 0.11%
10 3.0294
↗0.010, 0.34%
11 3.0228
↗0.007, 0.22%
12 3.0205
↗0.002, 0.07%
13 3.0129
↗0.008, 0.25%
14 3.0131
↘0.000, 0.01%
15 3.0103
↗0.003, 0.09%
16 3.0173
↘0.007, 0.23%
17 3.0155
↗0.002, 0.06%
18 3.0140
↗0.002, 0.05%
19 3.0133
↗0.001, 0.02%
20 3.0154
↘0.002, 0.07%
21 3.0318
↘0.016, 0.54%
22 3.0380
↘0.006, 0.20%
23 3.0411
↘0.003, 0.10%
24 3.0411
↗0.000, 0.00%
25 3.0438
↘0.003, 0.09%
26 3.0450
↘0.001, 0.04%
27 3.0439
↗0.001, 0.04%
28 3.0443
↘0.000, 0.01%
29 3.0717
↘0.027, 0.90%
30 3.0812
↘0.010, 0.31%
31 3.1016
↘0.020, 0.66%
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