<data>
<row _id="1"><Year>1993-06-30T00:00:00</Year><AVR>1.13</AVR></row>
<row _id="2"><Year>1994-06-30T00:00:00</Year><AVR>1.29</AVR></row>
<row _id="3"><Year>1995-06-30T00:00:00</Year><AVR>1.34</AVR></row>
<row _id="4"><Year>1996-06-30T00:00:00</Year><AVR>1.37</AVR></row>
<row _id="5"><Year>1997-06-30T00:00:00</Year><AVR>1.37</AVR></row>
<row _id="6"><Year>1998-06-30T00:00:00</Year><AVR>1.38</AVR></row>
<row _id="7"><Year>1999-06-30T00:00:00</Year><AVR>1.39</AVR></row>
<row _id="8"><Year>2000-06-30T00:00:00</Year><AVR>1.39</AVR></row>
<row _id="9"><Year>2001-06-30T00:00:00</Year><AVR>1.38</AVR></row>
<row _id="10"><Year>2002-06-30T00:00:00</Year><AVR>1.39</AVR></row>
<row _id="11"><Year>2003-06-30T00:00:00</Year><AVR>1.4</AVR></row>
<row _id="12"><Year>2004-06-30T00:00:00</Year><AVR>1.45</AVR></row>
<row _id="13"><Year>2005-06-30T00:00:00</Year><AVR>1.59</AVR></row>
<row _id="14"><Year>2006-06-30T00:00:00</Year><AVR>1.59</AVR></row>
<row _id="15"><Year>2007-06-30T00:00:00</Year><AVR>1.61</AVR></row>
<row _id="16"><Year>2008-06-30T00:00:00</Year><AVR>1.64</AVR></row>
<row _id="17"><Year>2009-06-30T00:00:00</Year><AVR>1.64</AVR></row>
<row _id="18"><Year>2010-06-30T00:00:00</Year><AVR>1.65</AVR></row>
<row _id="19"><Year>2011-06-30T00:00:00</Year><AVR>1.66</AVR></row>
<row _id="20"><Year>2012-06-30T00:00:00</Year><AVR>1.67</AVR></row>
<row _id="21"><Year>2013-06-30T00:00:00</Year><AVR>1.66</AVR></row>
<row _id="22"><Year>2014-06-30T00:00:00</Year><AVR>1.66</AVR></row>
<row _id="23"><Year>2015-06-30T00:00:00</Year><AVR>1.65</AVR></row>
<row _id="24"><Year>2018-06-30T00:00:00</Year><AVR>1.89</AVR></row>
<row _id="25"><Year>2019-06-30T00:00:00</Year><AVR>1.85</AVR></row>
</data>
