<?xml version="1.0" encoding="UTF-8"?>
<dataset>
  <row>
    <rowcolor>eee8aa</rowcolor>
    <region>1</region>
    <yr2001>34</yr2001>
    <yr2002>43</yr2002>
    <yr2003>42</yr2003>
    <yr2004>46</yr2004>
    <yr2005>34</yr2005>
    <yr2006>26</yr2006>
    <yr2007>21</yr2007>
    <yr2008>26</yr2008>
    <yr2009>33</yr2009>
    <yr2010>25</yr2010>
    <yr2011>18</yr2011>
    <yr2012>9</yr2012>
    <yr2013>6</yr2013>
    <yr2014>13</yr2014>
    <regiontotal>376</regiontotal>
  </row>
  <row>
    <rowcolor>eee8aa</rowcolor>
    <region>2</region>
    <yr2001>3</yr2001>
    <yr2002>13</yr2002>
    <yr2003>24</yr2003>
    <yr2004>15</yr2004>
    <yr2005>9</yr2005>
    <yr2006>2</yr2006>
    <yr2007>2</yr2007>
    <yr2008>0</yr2008>
    <yr2009>19</yr2009>
    <yr2010>3</yr2010>
    <yr2011>10</yr2011>
    <yr2012>8</yr2012>
    <yr2013>8</yr2013>
    <yr2014>13</yr2014>
    <regiontotal>129</regiontotal>
  </row>
  <row>
    <rowcolor>eee8aa</rowcolor>
    <region>3</region>
    <yr2001>65</yr2001>
    <yr2002>45</yr2002>
    <yr2003>17</yr2003>
    <yr2004>16</yr2004>
    <yr2005>18</yr2005>
    <yr2006>19</yr2006>
    <yr2007>20</yr2007>
    <yr2008>4</yr2008>
    <yr2009>9</yr2009>
    <yr2010>6</yr2010>
    <yr2011>6</yr2011>
    <yr2012>5</yr2012>
    <yr2013>5</yr2013>
    <yr2014>3</yr2014>
    <regiontotal>238</regiontotal>
  </row>
  <row>
    <rowcolor>eee8aa</rowcolor>
    <region>4</region>
    <yr2001>45</yr2001>
    <yr2002>36</yr2002>
    <yr2003>31</yr2003>
    <yr2004>46</yr2004>
    <yr2005>20</yr2005>
    <yr2006>14</yr2006>
    <yr2007>14</yr2007>
    <yr2008>23</yr2008>
    <yr2009>22</yr2009>
    <yr2010>26</yr2010>
    <yr2011>17</yr2011>
    <yr2012>20</yr2012>
    <yr2013>36</yr2013>
    <yr2014>20</yr2014>
    <regiontotal>370</regiontotal>
  </row>
  <row>
    <rowcolor>FFFFFF</rowcolor>
    <region>5F</region>
    <yr2001>18</yr2001>
    <yr2002>5</yr2002>
    <yr2003>4</yr2003>
    <yr2004>12</yr2004>
    <yr2005>3</yr2005>
    <yr2006>2</yr2006>
    <yr2007>4</yr2007>
    <yr2008>9</yr2008>
    <yr2009>10</yr2009>
    <yr2010>4</yr2010>
    <yr2011>6</yr2011>
    <yr2012>4</yr2012>
    <yr2013>4</yr2013>
    <yr2014>1</yr2014>
    <regiontotal>86</regiontotal>
  </row>
  <row>
    <rowcolor>FFFFFF</rowcolor>
    <region>5R</region>
    <yr2001>43</yr2001>
    <yr2002>41</yr2002>
    <yr2003>43</yr2003>
    <yr2004>22</yr2004>
    <yr2005>21</yr2005>
    <yr2006>19</yr2006>
    <yr2007>21</yr2007>
    <yr2008>33</yr2008>
    <yr2009>20</yr2009>
    <yr2010>25</yr2010>
    <yr2011>18</yr2011>
    <yr2012>22</yr2012>
    <yr2013>18</yr2013>
    <yr2014>11</yr2014>
    <regiontotal>357</regiontotal>
  </row>
  <row>
    <rowcolor>FFFFFF</rowcolor>
    <region>5S</region>
    <yr2001>40</yr2001>
    <yr2002>37</yr2002>
    <yr2003>52</yr2003>
    <yr2004>22</yr2004>
    <yr2005>18</yr2005>
    <yr2006>3</yr2006>
    <yr2007>18</yr2007>
    <yr2008>38</yr2008>
    <yr2009>21</yr2009>
    <yr2010>18</yr2010>
    <yr2011>30</yr2011>
    <yr2012>18</yr2012>
    <yr2013>31</yr2013>
    <yr2014>6</yr2014>
    <regiontotal>352</regiontotal>
  </row>
  <row>
    <rowcolor>dddddd</rowcolor>
    <region>5 all.</region>
    <yr2001>101</yr2001>
    <yr2002>83</yr2002>
    <yr2003>99</yr2003>
    <yr2004>56</yr2004>
    <yr2005>42</yr2005>
    <yr2006>24</yr2006>
    <yr2007>43</yr2007>
    <yr2008>80</yr2008>
    <yr2009>51</yr2009>
    <yr2010>47</yr2010>
    <yr2011>54</yr2011>
    <yr2012>44</yr2012>
    <yr2013>53</yr2013>
    <yr2014>18</yr2014>
    <regiontotal>795</regiontotal>
  </row>
  <row>
    <rowcolor>FFFFFF</rowcolor>
    <region>6A</region>
    <yr2001>7</yr2001>
    <yr2002>5</yr2002>
    <yr2003>2</yr2003>
    <yr2004>4</yr2004>
    <yr2005>3</yr2005>
    <yr2006>0</yr2006>
    <yr2007>0</yr2007>
    <yr2008>1</yr2008>
    <yr2009>0</yr2009>
    <yr2010>0</yr2010>
    <yr2011>2</yr2011>
    <yr2012>2</yr2012>
    <yr2013>1</yr2013>
    <yr2014>5</yr2014>
    <regiontotal>32</regiontotal>
  </row>
  <row>
    <rowcolor>FFFFFF</rowcolor>
    <region>6B</region>
    <yr2001>5</yr2001>
    <yr2002>5</yr2002>
    <yr2003>5</yr2003>
    <yr2004>4</yr2004>
    <yr2005>0</yr2005>
    <yr2006>3</yr2006>
    <yr2007>2</yr2007>
    <yr2008>2</yr2008>
    <yr2009>2</yr2009>
    <yr2010>4</yr2010>
    <yr2011>1</yr2011>
    <yr2012>4</yr2012>
    <yr2013>3</yr2013>
    <yr2014>1</yr2014>
    <regiontotal>41</regiontotal>
  </row>
  <row>
    <rowcolor>dddddd</rowcolor>
    <region>6 all.</region>
    <yr2001>12</yr2001>
    <yr2002>10</yr2002>
    <yr2003>7</yr2003>
    <yr2004>8</yr2004>
    <yr2005>3</yr2005>
    <yr2006>3</yr2006>
    <yr2007>2</yr2007>
    <yr2008>3</yr2008>
    <yr2009>2</yr2009>
    <yr2010>4</yr2010>
    <yr2011>3</yr2011>
    <yr2012>6</yr2012>
    <yr2013>4</yr2013>
    <yr2014>6</yr2014>
    <regiontotal>73</regiontotal>
  </row>
  <row>
    <rowcolor>eee8aa</rowcolor>
    <region>7</region>
    <yr2001>15</yr2001>
    <yr2002>33</yr2002>
    <yr2003>33</yr2003>
    <yr2004>6</yr2004>
    <yr2005>2</yr2005>
    <yr2006>4</yr2006>
    <yr2007>6</yr2007>
    <yr2008>4</yr2008>
    <yr2009>3</yr2009>
    <yr2010>5</yr2010>
    <yr2011>7</yr2011>
    <yr2012>11</yr2012>
    <yr2013>5</yr2013>
    <yr2014>15</yr2014>
    <regiontotal>149</regiontotal>
  </row>
  <row>
    <rowcolor>eee8aa</rowcolor>
    <region>8</region>
    <yr2001>34</yr2001>
    <yr2002>43</yr2002>
    <yr2003>33</yr2003>
    <yr2004>15</yr2004>
    <yr2005>14</yr2005>
    <yr2006>7</yr2006>
    <yr2007>6</yr2007>
    <yr2008>6</yr2008>
    <yr2009>7</yr2009>
    <yr2010>6</yr2010>
    <yr2011>6</yr2011>
    <yr2012>6</yr2012>
    <yr2013>7</yr2013>
    <yr2014>7</yr2014>
    <regiontotal>197</regiontotal>
  </row>
  <row>
    <rowcolor>eee8aa</rowcolor>
    <region>9</region>
    <yr2001>1</yr2001>
    <yr2002>4</yr2002>
    <yr2003>14</yr2003>
    <yr2004>8</yr2004>
    <yr2005>10</yr2005>
    <yr2006>0</yr2006>
    <yr2007>2</yr2007>
    <yr2008>1</yr2008>
    <yr2009>2</yr2009>
    <yr2010>0</yr2010>
    <yr2011>10</yr2011>
    <yr2012>3</yr2012>
    <yr2013>6</yr2013>
    <yr2014>4</yr2014>
    <regiontotal>65</regiontotal>
  </row>
  <row>
    <rowcolor>aecaae</rowcolor>
    <region>TOTAL</region>
    <yr2001>310</yr2001>
    <yr2002>310</yr2002>
    <yr2003>300</yr2003>
    <yr2004>216</yr2004>
    <yr2005>152</yr2005>
    <yr2006>99</yr2006>
    <yr2007>116</yr2007>
    <yr2008>147</yr2008>
    <yr2009>148</yr2009>
    <yr2010>122</yr2010>
    <yr2011>131</yr2011>
    <yr2012>112</yr2012>
    <yr2013>130</yr2013>
    <yr2014>99</yr2014>
    <regiontotal>2,392</regiontotal>
  </row>
</dataset>
